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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2025.1733612</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Neuronal injury and hepatotoxicity: astrocytes and stellate cells convergence and their role in tissue repair</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jimenez-Torres</surname> <given-names>Ana Catya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ortega</surname> <given-names>Arturo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Najimi</surname> <given-names>Mustapha</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Pharmacology and Toxicology, Medical College of Georgia, Augusta University</institution>, <city>Augusta, GA</city>, <country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Departamento de Toxicolog&#x00ED;a, Centro de Investigaci&#x00F3;n y de Estudios Avanzados del Instituto Polit&#x00E9;cnico Nacional (Cinvestav-IPN)</institution>, <city>Mexico City</city>, <country country="mx">Mexico</country></aff>
<aff id="aff3"><label>3</label><institution>Laboratory of Pediatric Hepatology and Cell Therapy, Institute of Experimental and Clinical Research (IREC), UCLouvain</institution>, <city>Brussels</city>, <country country="be">Belgium</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Mustapha Najimi, <email xlink:href="mailto:mustapha.najimi@uclouvain.be">mustapha.najimi@uclouvain.be</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-03">
<day>03</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1733612</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Jimenez-Torres, Ortega and Najimi.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jimenez-Torres, Ortega and Najimi</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-03">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>In the central nervous system, astrocytes are highly specialized non-neuronal cells that are key elements in maintaining neuronal microenvironment homeostasis. These cells provide structural and metabolic support to other brain cells and regulate ion concentrations and the local levels of neurotransmitters such as glutamate. Astrogliosis, characterized by morphological and functional abnormalities, has been implicated in various neuronal disorders. Similarly, hepatic stellate cells drive the initiation and the progression of liver fibrosis. After liver injury, hepatic stellate cells are activated through inflammatory mediators and differentiate into activated myofibroblasts. Hepatic stellate cells express several glial-related molecules, suggesting functional similarities between these two cell types, which paves the way for a better understanding of crucial targets for neuronal and liver repair. We present herein a compressive update of our current knowledge of the transcriptome of activated hepatic stellate cells during liver injury and contrast it with that of reactive astrocytes in neuronal diseases. Furthermore, we summarize the plausible involvement of long non-coding and microRNAs in the transcriptional regulation of specific genes during neuronal and liver injuries. Finally, we discuss possible common targets and novel strategies to diminish the activation of stellate cells and astrocytes as therapeutic strategies. In addition, we highlight new insights into the brain-liver axis.</p>
</abstract>
<kwd-group>
<kwd>astrogliosis</kwd>
<kwd>brain-liver axis</kwd>
<kwd>hepatic stellate cells</kwd>
<kwd>liver repair</kwd>
<kwd>transcriptome</kwd>
<kwd>liver diseases</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="219"/>
<page-count count="20"/>
<word-count count="17864"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neuroendocrine Science</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The close connection between the central nervous system (CNS) and the liver has been underlined recently. The so-called brain-liver axis points to a dynamic communication of their metabolic, hormonal, and immunological connections (<xref ref-type="bibr" rid="B166">Sun X. et al., 2024</xref>). Moreover, similarities in gene expression patterns between specific liver and brain cell types highlight not the parallelism of both organs in the maintenance of physiological functions in response to injury (<xref ref-type="bibr" rid="B149">Schachtrup et al., 2011</xref>). Reactive gliosis and activation of hepatic stellate cells (HSCs) contribute to the adaptative response to different stimuli, driving the development of various diseases in the liver and the CNS. Although the brain is not completely analogous to the liver environment, the presence of key transcripts in astrocytes and HSCs contribute to envision shared molecular mechanisms in response to injury in both cell types. Transcription factors are the most common way to control gene expression by decoding the DNA sequence (<xref ref-type="bibr" rid="B141">Ratti et al., 2020</xref>). It is well known that regulatory networks are dynamic across different cell types; the same transcription factor can regulate different genes. However, mapping and identifying highly specific expression programs in the transcriptome might provide a comprehensive perspective on the molecular mechanisms by which a particular transcription factor targets the same genes in different cell types, such as astrocytes and HSCs. The transcriptional machinery can be regulated by a large family of non-coding RNAs [long non-coding (lncRNAS) and micro RNAs] as regulators of imprinting, cell cycle, pluripotency, development, and the immune response (<xref ref-type="bibr" rid="B141">Ratti et al., 2020</xref>; <xref ref-type="bibr" rid="B191">Wilusz et al., 2009</xref>). Moreover, it has been demonstrated that crosstalk between microRNA and lncRNA regulates gene expression at the transcriptional level and is involved in pathological conditions.</p>
<p>This review aims to focus on the transcriptional profile of reactive astrocytes and activated HSCs. We discuss the atlas of both cells across neuronal and liver disease etiologies that may predict a specific signature through the so-called &#x201C;brain-liver axis&#x201D; to identify novel therapeutic targets for treating neuronal and hepatic diseases.</p>
</sec>
<sec id="S2">
<label>2</label>
<title>Physiological basis of brain-liver axis</title>
<p>Anatomically, the brain-liver axis is defined by nerve fiber connections between both organs. One of these networks are placed from the hypothalamus to the Disse&#x2019;s space in the liver, sympathetic and parasympathetic nerves modulate the autonomic hepatic regulation (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="bibr" rid="B114">Luo et al., 2023</xref>; <xref ref-type="bibr" rid="B116">Ma et al., 2025</xref>; <xref ref-type="bibr" rid="B175">Uyama et al., 2004</xref>). Electrical stimulation of hypothalamic regions such as the ventromedial and lateral nuclei regulates glycogenolysis and gluconeogenesis in the liver (<xref ref-type="bibr" rid="B176">Veneziale et al., 1967</xref>). Since <xref ref-type="bibr" rid="B154">Shimazu et al. (1966)</xref> supported that the sympathetic pathway between the ventromedial hypothalamic nuclei and the liver controls the glycogen content in this organ. Stimulation of the ventromedial hypothalamic nuclei induces the activation of the glycogenolytic liver enzymes: glycogen phosphorylase and glucose-6- phosphatase resulted in reduced glycogen content in the liver and the increase of glucose in blood (<xref ref-type="bibr" rid="B154">Shimazu et al., 1966</xref>; <xref ref-type="bibr" rid="B176">Veneziale et al., 1967</xref>). Meanwhile, the chemical or electrical stimulation of the lateral hypothalamic nuclei which is connected to the liver through the vagus nerve, induces the activation of liver glycogen synthase, key enzyme controlling glycogen metabolism, indicating the crucial crosstalk in the hypothalamic parasympathetic nervous system as well (<xref ref-type="bibr" rid="B116">Ma et al., 2025</xref>; <xref ref-type="bibr" rid="B175">Uyama et al., 2004</xref>; <xref ref-type="bibr" rid="B176">Veneziale et al., 1967</xref>). In both cases, the direct neural effect on the hepatic energy homeostasis was determined under pancreatectomy and adrenalectomy, which do not prevent the effects on the activation of the liver enzymes (<xref ref-type="bibr" rid="B154">Shimazu et al., 1966</xref>; <xref ref-type="bibr" rid="B176">Veneziale et al., 1967</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Anatomical and physiological basis of the brain- liver axis. Sympathetic and parasympathetic nerves modulate the autonomic hepatic regulation. Sympathetic nerves project on hepatocytes in the human liver parenchyma meanwhile the parasympathetic nerves terminate at Disse&#x2019;s space near HSCs and sinusoidal endothelial cells. Figure created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-19-1733612-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the nervous system&#x2019;s influence on liver function. The parasympathetic nervous system secretes acetylcholine, while the sympathetic nervous system secretes norepinephrine, epinephrine, and neuropeptides. Increased sympathetic activity can lead to liver inflammation, fibrosis, cirrhosis, and tumorigenesis. Increased parasympathetic activity promotes hepatocyte proliferation, regulates glycogen metabolism, and inhibits inflammatory interleukins. The liver is shown in detail with highlighted nerve pathways.</alt-text>
</graphic>
</fig>
<p>The medulla oblongata is the other brainstem region associated with the vagus nerve in the brain- liver axis. The dorsal motor nucleus of the vagus nerve begins at the parasympathetic neurons within the medulla oblongata and projects to the liver through the hepatic branch via the hepatic artery (<xref ref-type="bibr" rid="B116">Ma et al., 2025</xref>). This parasympathetic innervation has been described in mammals. In contrast with the sympathetic nerves which synapse on hepatocytes in the liver parenchyma in many mammals except in mouse, rat and golden hamster, the parasympathetic nerves terminate at Disse&#x2019;s space near hepatic stellate cells (HSCs) and sinusoidal endothelial cells (<xref ref-type="bibr" rid="B120">Miller et al., 2021</xref>). Thus, the signals in the brain-liver axis may occur by direct or indirect innervation. By direct innervation for example the imbalance in the secretion of hormones such as epinephrine and norepinephrine by the sympathetic nerve induces the release of the transforming grow factor &#x03B2; and the production of collagen in HSCs, the secretion of interleukin-6 by Kupffer cells via the &#x03B1;/&#x03B2; adrenergic and neuropeptide Y receptors promoting liver inflammation, the activation and proliferation of HSCs changing the liver microenvironment contributing to liver fibrosis, cirrhosis and tumorigenesis (<xref ref-type="bibr" rid="B7">Amir et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Cawley et al., 2014</xref>; <xref ref-type="bibr" rid="B114">Luo et al., 2023</xref>; <xref ref-type="bibr" rid="B120">Miller et al., 2021</xref>). Meanwhile the secretion of acetylcholine by the terminals of the parasympathetic nerve diminishes hepatic inflammation and hepatocyte apoptosis contributing to hepatocyte and hepatic progenitor cell proliferation. The indirect metabolic regulation via signal transmission occurs because the sinusoidal innervation that communicates endothelial and Kupffer cells with hepatocytes and stellate cells (<xref ref-type="bibr" rid="B120">Miller et al., 2021</xref>). Cytokines and small polypeptides such as neurotropic factors, GDNF, BDNF, NRG4 and CNTF play a key role in the regulation of the hepatic nervous system.</p>
<p>As part of the indirect signaling in the brain- liver axis, the crosstalk between the activation of glial cells in the central nervous system and the activation of hepatic stellate cells in the regulation of hepatic lipid metabolism and matrix formation evidences that neuroendocrine system and neuroinflammation mediated by glial activation may be closely related to the initiation of fatty liver disease and liver fibrosis (<xref ref-type="bibr" rid="B149">Schachtrup et al., 2011</xref>; <xref ref-type="bibr" rid="B186">Wang et al., 2024</xref>).</p>
<p><italic>In vitro</italic> studies have demonstrated neural features of HSCs, for example proliferation, collagen gene expression and pro-fibrotic state of HCSs can be regulated via sympathetic neurotransmitters such as norepinephrine and serotonin (<xref ref-type="bibr" rid="B127">Oben et al., 2003b</xref>,<xref ref-type="bibr" rid="B125">2004</xref>; <xref ref-type="bibr" rid="B147">Ruddell et al., 2006</xref>). Moreover, acetylcholine, neuropeptide Y and endocannabinoid modulate proliferation, cell death by necrosis and apoptosis in HSCs (<xref ref-type="bibr" rid="B126">Oben et al., 2003a</xref>, b; <xref ref-type="bibr" rid="B156">Siegmund et al., 2005</xref>). Specific neuroglial molecules are expressed in HSCs in both models, human and rat (<xref ref-type="bibr" rid="B28">Cassiman et al., 2001</xref>); although all the functions in this cell type are still not fully studied, it has been reported that neurotrophins such as NGF, BDNF, NT-3 and 4, TrK receptors, the glial fibrillary acid protein (GFAP), neural cell adhesion molecule (NCAM), p75<italic><sup>NTR</sup></italic>, nestin, synemin, hedgehog and nucleotide receptors mediated tissue remodeling by cell activation, differentiation, apoptosis and contraction of HSCs (<xref ref-type="bibr" rid="B28">Cassiman et al., 2001</xref>; <xref ref-type="bibr" rid="B149">Schachtrup et al., 2011</xref>).</p>
<p>Although glial cells, specifically, astrocytes and HSCs are not fully analogous models, the physiological, functional similarities and close communication via neuroendocrine signals suggest a novel approach by targeting both cell types into nervous system and liver restoration.</p>
<p>Astrocytes and HSCs are shaping the metabolic microenvironment in the brain and liver, respectively; both cell types might create conditions that control physiological conditions as well as immunological and metabolic reprogram and tumor promotion influencing either positively or negatively disease progression (<xref ref-type="bibr" rid="B80">Jara&#x00ED;z-Rodr&#x00ED;guez et al., 2023</xref>; <xref ref-type="bibr" rid="B117">Malone et al., 2024</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Overview of pseudotime trajectory of genes expressed in HCSs from quiescent state to myofibroblast-like phenotype. qHSCs maintain the liver microenvironment acting as reservoirs of lipids and by the release of growth factors. Under liver injury, the loss of lipid droplets occurs and if liver damage persists, HSCs acquire contractile and fibrogenic phenotype, increasing extracellular matrix components resulting in collagen deposition which promotes liver fibrogenesis and carcinogenesis. Figure adapted from Servier Medical Art (<ext-link ext-link-type="uri" xlink:href="https://smart.servier.com">https://smart.servier.com</ext-link>), licensed under CC BY 4.0 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-19-1733612-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating the progression from a healthy liver to a pathological state. It shows three main stages: Quiescent state with lipid droplets and growth factor secretion, Initiatory HSCs with loss of lipid droplets, and Myofibroblast phenotype featuring collagen deposition. Gene markers are specified for each stage, and the diagram highlights liver fibrogenesis and carcinogenesis in the pathological state.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S3">
<label>3</label>
<title>The atlas of hepatic stellate cells in liver injury</title>
<p>Although the HSCs comprise less than 8% of the normal liver cell population, these cells are involved in critical functions under physiological conditions and in response to liver injury (<xref ref-type="bibr" rid="B118">Mederacke et al., 2013</xref>; <xref ref-type="bibr" rid="B189">Wiering et al., 2023</xref>). The HCSs are located in the space of Disse in contact with sinusoidal endothelial cells and hepatocytes (<xref ref-type="bibr" rid="B48">Friedman, 2008</xref>). In healthy conditions, HCSs reside in a quiescent state, releasing growth factors to regulate hepatocyte regeneration and, in fact, represent the major reservoir of cytoplasmic lipid droplets of retinyl esters (vitamin A) and small amounts of cholesterol, phospholipids, and free fatty acids (<xref ref-type="bibr" rid="B17">Blaner et al., 2009</xref>). During liver injury, HSCs become activated and are the predominant source of fibrous extracellular matrix. Under such circumstances, they lose their lipid storage and differentiate into proliferative, fibrogenic, and contractile myofibroblasts, contributing to anarchic collagen deposition (<xref ref-type="bibr" rid="B88">Kamm and McCommis, 2022</xref>). The transcriptome of HSCs has been described in three different profiles: quiescent state (qHSCs), initiatory HSCs, and myofibroblast phenotype (<xref ref-type="bibr" rid="B119">Merens et al., 2025</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>). Single-cell sequencing datasets have led to the construction of the HCSs atlas to understand the regulatory mechanisms of HCSs activation and its role in developing diverse liver injuries. Worldwide liver diseases contribute to approximately 2 million deaths. The incidence of non-alcoholic steatohepatitis (NASH) increased 94.49% in the last decade (<xref ref-type="bibr" rid="B60">Gu et al., 2025</xref>), which raised the probabilities of developing cirrhosis and liver cancer. By 2015 the global incidence of cirrhosis increased 13% with 23.4 per 100, 000 individuals (<xref ref-type="bibr" rid="B52">Gan et al., 2025</xref>). Meanwhile, liver cancer was ranked the six most frequent diagnosed cancer worldwide (7.8% of all cancers globally) by 2022, with 865, 269 new cases reported and 757,948 deaths indicating poor prognosis which representing a global health burden (<xref ref-type="bibr" rid="B21">Bray et al., 2024</xref>). In this section, we discuss the gene expression patterns of HCSs during various models of liver diseases such as non-alcoholic steatohepatitis, chronic hepatitis, fibrosis, cirrhosis, and cancer.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Microenvironment of HSCs and astrocytes. During physiological state HSCs act as reservoir of lipid droplets of retinyl esters, small amounts of cholesterol, phospholipids and free fatty acids; moreover, regulates the liver microenvironment by the secretion of growth factors. Meanwhile the astrocytes regulate the metabolic state of the central nervous system by shuttle glucose-derived lactate to neurons and regulating K<sup>+</sup> buffering. Additionally, astrocytes control synaptic transmission by the clearance of neurotransmitters such as glutamate and the release of neurotrophic factors. During the activate/reactive state, both cell types induce inflammatory and immune response and increase molecules in the extracellular matrix resulting in pathological state in the liver and central nervous system. Figure adapted from Servier Medical Art (<ext-link ext-link-type="uri" xlink:href="https://smart.servier.com">https://smart.servier.com</ext-link>), licensed under CC BY 4.0 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-19-1733612-g003.tif">
<alt-text content-type="machine-generated">Diagram depicting microenvironment states in the liver and brain. On the left, the liver shows a quiescent hepatic stellate cell and its activation, leading to inflammation and fibrosis. On the right, the brain features a quiescent astrocyte and its reactive state, causing synaptic changes and neuronal death. Each section details the changes from healthy to activated states with related cellular processes.</alt-text>
</graphic>
</fig>
<sec id="S3.SS1">
<label>3.1</label>
<title>Non-alcoholic steatohepatitis</title>
<p>Non-alcoholic steatohepatitis is characterized by inflammation and hepatocellular injury; it plays a central role in the development of liver fibrosis, with a 40% incidence, making it the second leading cause of liver transplantation in the United States (<xref ref-type="bibr" rid="B27">Carter and Friedman, 2022</xref>; <xref ref-type="bibr" rid="B124">Noureddin et al., 2018</xref>). As the main fibrogenic cell type in the liver, the excess of the extracellular matrix <italic>via</italic> the activation of HSCs is a hallmark feature in the prognosis of patients with non-alcoholic fatty liver disease (NAFLD) (<xref ref-type="bibr" rid="B62">Hagstr&#x00F6;m et al., 2017</xref>). Single-cell RNA-sequencing analysis (scRNASeq) of HSCs has identified a specific transcriptome signature in NASH patients (<xref ref-type="bibr" rid="B68">He et al., 2023</xref>). Sixty-one genes were enriched in the cell cluster of activated HSCs but not in the population of inactivated HSCs (<xref ref-type="bibr" rid="B68">He et al., 2023</xref>). Specifically, the expression of genes essential in cell-mediated immunity and anti-viral activity, such as interferon-induced transmembrane protein 1 (IFITM1) and macrophage migration inhibitory factor (MIF), is upregulated. Genes relevant for cell adhesion, cell proliferation, and cell-cell communication- such as collagen type 1 alpha 1 chain (<italic>Col1A1</italic>) and 2 chain (<italic>Col1a2</italic>), S100 calcium-binding protein A11 (<italic>S100a11</italic>), alpha-actinin-2-associated LIM protein (<italic>Pdlim3</italic>), galectin 3 (<italic>Lgals3</italic>), spondin 2 (<italic>Spon2</italic>), nicotinamide N-methyltransferase (<italic>Nnmt</italic>) and collagen triple helix repeat containing 1 (<italic>Cthrc1</italic>)- are augmented and correlated with the severity of fibrosis in NASH (<xref ref-type="bibr" rid="B11">Azevedo Foinquinos et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Feng et al., 2021</xref>; <xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B69">Heinrichs et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Hou et al., 2018</xref>; <xref ref-type="bibr" rid="B136">Qi et al., 2017</xref>; <xref ref-type="bibr" rid="B155">Shin et al., 2018</xref>; <xref ref-type="bibr" rid="B163">Sun J. et al., 2024</xref>; <xref ref-type="bibr" rid="B171">Teng et al., 2021</xref>; <xref ref-type="bibr" rid="B192">Wu C. et al., 2021</xref>; <xref ref-type="bibr" rid="B206">Younossi et al., 2009</xref>) (see <xref ref-type="table" rid="T1">Table 1</xref>). Moreover, epidermal growth factor (EGF), platelet derived growth factor (PDGF), and transforming growth factor beta (TGF-&#x00DF;)-mediate HSCs activation (<xref ref-type="bibr" rid="B3">Ahmed et al., 2022</xref>; <xref ref-type="bibr" rid="B15">Bhushan et al., 2019</xref>; <xref ref-type="bibr" rid="B189">Wiering et al., 2023</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). Tamoxifen-induced expression of PDGF subunit B (PDGF-B) in the liver of transgenic mice acts as a proliferative and profibrogenic stimulus, inducing transdifferentiation of HSCs; additionally, expression levels of MMP-2, MMP-9, and TIMP-1 are upregulated, with no significant changes in TGF-&#x00DF; (<xref ref-type="bibr" rid="B40">Czochra et al., 2006</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). This suggests a TGF-&#x00DF;-independent mechanism in PDGF-B transgenic mice and highlights the importance of the specific markers across transition to activated HSCs in different models of liver disease. For example, the expression of PDGF can be up-regulated in response to Il-1&#x03B1; as well (<xref ref-type="bibr" rid="B9">Andrae et al., 2008</xref>). Interestingly, the gene encoding the expression of the PDGF receptor beta shows upregulation in inactivated HSCs in NASH but not in quiescent HSCs in healthy cell-clusters (<xref ref-type="bibr" rid="B68">He et al., 2023</xref>), suggesting a PDGF-dependent mechanism in the early stages of NASH followed by activation of HSCs and transition to fibrotic states.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Transcriptome atlas of activated HSCs in liver diseases.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="center">Liver disease</th>
<th valign="top" align="center">Gen</th>
<th valign="top" align="center">Regulation</th>
<th valign="top" align="center">Cellular function</th>
<th valign="top" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" rowspan="16">Non-alcoholic steatohepatitis</td>
<td valign="top" align="center"><italic>Ifitm1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Intercellular adhesion, cell growth, cell migration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B206">Younossi et al., 2009</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mif</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B69">Heinrichs et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Col1a1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Production of collagen type I</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B136">Qi et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Col1a2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Production of collagen type I</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B163">Sun J. et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>S100a11</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Lipid deposition</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B171">Teng et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Pdlim3</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cytoskeletal structure</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B192">Wu C. et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Lgals3</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response, cell growth</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B11">Azevedo Foinquinos et al., 2020</xref>; <xref ref-type="bibr" rid="B68">He et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Spon2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B75">Hou et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Nnmt</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell metabolism, epigenetic remodeling</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">He et al., 2023</xref>; <xref ref-type="bibr" rid="B155">Shin et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Cthrc1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell contractility, cell migration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B47">Feng et al., 2021</xref>; <xref ref-type="bibr" rid="B68">He et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Efg</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Lipogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Bhushan et al., 2019</xref>; <xref ref-type="bibr" rid="B189">Wiering et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Pdgf</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell proliferation, fibrogenic response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B189">Wiering et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Tgf-&#x00DF;</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response, fibrogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Ahmed et al., 2022</xref>; <xref ref-type="bibr" rid="B189">Wiering et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mmp-2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix architecture</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Czochra et al., 2006</xref>; <xref ref-type="bibr" rid="B128">Okazaki et al., 2014</xref>; <xref ref-type="bibr" rid="B160">Stefano et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mmp-9</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix architecture</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Czochra et al., 2006</xref>; <xref ref-type="bibr" rid="B128">Okazaki et al., 2014</xref>; <xref ref-type="bibr" rid="B160">Stefano et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Timp-1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix architecture</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Czochra et al., 2006</xref></td>
</tr>
<tr>
<td valign="top" align="center" rowspan="8">Liver fibrosis</td>
<td valign="top" align="center"><italic>Fosl1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B168">Taha et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Fosl2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cytoskeletal rearrangements, immune response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Kim et al., 2024</xref>; <xref ref-type="bibr" rid="B168">Taha et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Ap-1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix remodeling</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B90">Kim et al., 2024</xref>; <xref ref-type="bibr" rid="B144">Rippe and Brenner, 2004</xref>; <xref ref-type="bibr" rid="B168">Taha et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Nf-k&#x00DF;</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Fibrogenesis, cell apoptosis, inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B112">Luedde and Schwabe, 2011</xref>; <xref ref-type="bibr" rid="B153">Shen et al., 2014</xref>; <xref ref-type="bibr" rid="B194">Wu Y. J. et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Tnf</italic>-&#x03B1;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix remodeling, immune response,</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B203">Yasmeen et al., 2023</xref>; <xref ref-type="bibr" rid="B129">Osawa et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Wt1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell migration, fibrogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Kendall et al., 2019</xref>; <xref ref-type="bibr" rid="B119">Merens et al., 2025</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Pdgf</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell migration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B57">Gong et al., 2017</xref>; <xref ref-type="bibr" rid="B119">Merens et al., 2025</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mef2c</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Fibrogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B119">Merens et al., 2025</xref>; <xref ref-type="bibr" rid="B185">Wang et al., 2004</xref></td>
</tr>
<tr>
<td valign="top" align="center" rowspan="12">HCC</td>
<td valign="top" align="center"><italic>Lrat</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Production of retinyl esters</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B61">Haaker et al., 2024</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Reln</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Extracellular matrix</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B94">Kobold et al., 2002</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Rgs5</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Cell contraction, cell migration, fibrogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B12">Bahrami et al., 2014</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Acta2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell motility, cell contraction</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B145">Rockey et al., 2013</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Ccn2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Fibrotic response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B134">Pi et al., 2023</xref>; <xref ref-type="bibr" rid="B139">Rachfal and Brigstock, 2003</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mmp10</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Extracellular matrix remodeling, fibrotic response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B66">Han, 2006</xref>; <xref ref-type="bibr" rid="B93">Knittel et al., 2000</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Npm1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell proliferation/ inhibition of apoptosis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B42">Ding et al., 2023</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Rack1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell proliferation, cell differentiation, cell migration, fibrogenesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B20">Bourd-Boittin et al., 2008</xref>; <xref ref-type="bibr" rid="B108">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mif</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Immune response, cell migration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B138">Qin et al., 2021</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Cstb</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell proliferation, fibrotic response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B121">Moles et al., 2009</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Arpc2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell migration, cellular structure</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B77">Huang et al., 2021</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Krtcap2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B164">Sun et al., 2023</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>&#x2191;Upregulation in activated HSCs. &#x2193;Downregulation in activated HSCs.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<label>3.2</label>
<title>Liver fibrosis</title>
<p>The transcriptional signature of qHSCs differentiation into myofibroblasts shows high activity of the transcription factors FOS like 1 (FOSL1) and FOSL2, members of the activator protein-1 complex (AP-1) (<xref ref-type="bibr" rid="B90">Kim et al., 2024</xref>; <xref ref-type="bibr" rid="B144">Rippe and Brenner, 2004</xref>; <xref ref-type="bibr" rid="B168">Taha et al., 2023</xref>). Overexpression of <italic>Fosl1</italic> promotes spontaneous liver fibrosis in mouse models and is associated with the progression of liver tumors and worse prognosis in patients with hepatocellular carcinoma (HCC) (<xref ref-type="bibr" rid="B168">Taha et al., 2023</xref>). Members of the Nuclear Factor-k&#x00DF;- (NF-k&#x00DF;) family, such as NF-kB1, NF-kB2, and RELB, are highly active at early stages of HSCs activation. NF-k&#x00DF; plays a key role in hepatic injury, particularly in the transition of fibrosis to HCC (<xref ref-type="bibr" rid="B112">Luedde and Schwabe, 2011</xref>; <xref ref-type="bibr" rid="B153">Shen et al., 2014</xref>; <xref ref-type="bibr" rid="B194">Wu Y. J. et al., 2021</xref>). The mammalian NF-k&#x00DF; family dimers comprise the interaction of five subunits: p50, p52, cRel, p65 (also known as RelA) and RelB, encoded by NF-&#x03BA;B1, NF-&#x03BA;B2, REL, RELA, and RELB, respectively (<xref ref-type="bibr" rid="B55">Ghosh and Hayden, 2008</xref>; <xref ref-type="bibr" rid="B74">Hoffmann et al., 2003</xref>). NF-k&#x00DF; activation may occur <italic>via</italic> canonical and non-canonical pathways. The canonical NF-k&#x00DF; pathway is activated in response to inflammatory stimuli and is related to the activation of HSCs (<xref ref-type="bibr" rid="B44">Elsharkawy et al., 2010</xref>). Various drugs including <italic>Sofosbuvir</italic> and <italic>Velpatasvir</italic> display antifibrotic effects in carbon tetrachloride (CCl<sub>4</sub>)-induced fibrosis rat model; these effects are not dependent on their antiviral activity but are mediated through the suppression of HSCs via regulation of TNF-&#x03B1; levels and its downstream NF-&#x03BA;B pathway (<xref ref-type="bibr" rid="B203">Yasmeen et al., 2023</xref>). The activity patterns of the transcription factor WT1, the paired related homeobox protein 1 (PRRX1), and the transcription factor myocyte enhancer factor 2 (MEF2) demonstrate high activation in myofibroblasts in both mouse and human cells (<xref ref-type="bibr" rid="B89">Kendall et al., 2019</xref>; <xref ref-type="bibr" rid="B119">Merens et al., 2025</xref>; <xref ref-type="bibr" rid="B185">Wang et al., 2004</xref>). For example, Prrx1 is involved in PDGF-dependent HSCs migration <italic>via</italic> modulation of metalloproteinases MMP2 and MMP9 expression. Moreover, administration of an adenoviral-mediated <italic>Prrx1</italic> shRNA attenuates liver fibrosis induced by thioacetamide in rats (<xref ref-type="bibr" rid="B57">Gong et al., 2017</xref>). Similarly, <italic>Mef2</italic> interference RNA significantly inhibits the expression of smooth muscle- &#x03B1; (&#x03B1;-SMA), COL1A1, and proliferating cell nuclear antigen, all markers in liver fibrogenesis. Collectively, these findings suggest that the upregulation of these genes is conserved between humans and mice and that they play pivotal roles in HSCs activation across different liver injury models (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="S3.SS3">
<label>3.3</label>
<title>Hepatocellular carcinoma</title>
<p>In the last two decades, the HCC mortality rate has increased globally (<xref ref-type="bibr" rid="B158">Singal et al., 2023</xref>). In both primary and metastatic liver cancers, HSCs are the main source of activated myofibroblast-like cells (<xref ref-type="bibr" rid="B37">Cogliati et al., 2023</xref>). The scRNASeq data from fibrotic mouse liver (GSE1326620), human cell populations of patients with NAFLD (GSE49541), and patients with liver fibrosis during HBV infection (GSE89632, GSE84044), were retrieved from the Gene Expression Omnibus (GEO) dataset. The <italic>in-silico</italic> reconstruction of a single-lineage pseudo-time trajectory of HSCs activation identified three pseudotime-dependent differentiation stages. After the quiescent cell type (stage 1), HSCs display two diverse stages (stages 2 and 3) during <italic>in vitro</italic> transdifferentiation process (<xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). The downregulation of qHSCs markers such <italic>Lrat</italic>, <italic>Reln</italic>, and <italic>Rgs5</italic>, along with high expression levels of <italic>Acta2</italic>, <italic>Ccn2</italic>, and <italic>Mmp10</italic>- markers of activated HSCs- are characteristic of the early stages of HSCs-to-myofibroblast transition (state 2). For example, LRAT encodes the main enzyme in retinyl esters production in qHSCs, specifically lecithin: retinol acyltransferase (LRAT). The loss of retinyl esters is characteristic of activated HSCs; this disruption in retinyl ester metabolism is mediated by reduced levels of <italic>Lrat</italic>, loss of LRAT activity, and enhanced breakdown of retinyl esters (<xref ref-type="bibr" rid="B61">Haaker et al., 2024</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). Reelin, an extracellular matrix protein, has been studied <italic>in silico</italic> and <italic>in vivo</italic>, demonstrating lower levels of reelin in activated HCSs compared to qHSCs. Meanwhile, reelin expression is not detectable in rat liver myofibroblasts, indicating reelin as a key protein for distinguishing the transdifferentiation states of HSCs (<xref ref-type="bibr" rid="B94">Kobold et al., 2002</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). The regulator of G-protein signaling-5 (RGS5) is encoded by <italic>Rgs5</italic>. RGS5 controls contraction, migration, and fibrosis in HSCs by regulating G-protein coupled receptor (GPCR)-mediated signaling, via endothelin-1 (ET-1) and angiotensin II (AngII) (<xref ref-type="bibr" rid="B12">Bahrami et al., 2014</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). Interestingly, the levels of activated HSC markers show an increased pattern at the early stages of differentiation (state 2). Smooth muscle &#x03B1; actin (<italic>Act2</italic>) is undetectable in qHSCs isolated from normal livers but is abundant in activated HSCs, where it reduces cell motility and contraction (<xref ref-type="bibr" rid="B145">Rockey et al., 2013</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). The cellular communication network factor 2 (<italic>Ccn2</italic>)/connective tissue growth factor (<italic>Ctgf</italic>) (CCN2/CTGF), an extracellular signaling modulator, and the Slit2 ligand synergistically mediate HSC activation and fibrotic response in CCl<sub>4</sub>-induced liver injury by activating phosphatidylinositol 3-kinase (PI3K) and AKT signaling pathways. <italic>In vitro</italic> studies suggest that the production of CTGF/CCN2 is primarily regulated by TGF-&#x03B2; (<xref ref-type="bibr" rid="B134">Pi et al., 2023</xref>; <xref ref-type="bibr" rid="B139">Rachfal and Brigstock, 2003</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). The matrix metalloproteinase 10 (<italic>Mmp10</italic>) is also involved in fibrosis progression in the liver. The increase of MMP10 expression can be detected after acute liver damage, for example, following a single dose of CCl<sub>4</sub>; the secretion of MMPs degrades the normal extracellular matrix, leading to the activation of HSCs (<xref ref-type="bibr" rid="B66">Han, 2006</xref>; <xref ref-type="bibr" rid="B93">Knittel et al., 2000</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>; <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Genes involved in liver carcinogenesis are upregulated in stage 3, when HSCs are predominantly differentiated into myofibroblasts (<xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>). Interestingly, Npm1, Rack1, Mif, Cstb, Arpc2, and Krtcap2, crucial in cell proliferation, differentiation and migration, fibrogenesis, immune response, cell-cell junction, and HCC metastasis (<xref ref-type="bibr" rid="B20">Bourd-Boittin et al., 2008</xref>; <xref ref-type="bibr" rid="B42">Ding et al., 2023</xref>; <xref ref-type="bibr" rid="B77">Huang et al., 2021</xref>; <xref ref-type="bibr" rid="B108">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B121">Moles et al., 2009</xref>; <xref ref-type="bibr" rid="B138">Qin et al., 2021</xref>; <xref ref-type="bibr" rid="B164">Sun et al., 2023</xref>; <xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>), are expressed at much higher levels in activated HSCs derived from cancer-associated fibroblasts than in diet biliary fibrosis or mice biliary fibrosis model (<xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>), highlighting these specific genes as possible early indicators of the liver tumor microenvironment (<xref ref-type="table" rid="T1">Table 1</xref>). Moreover, genes associated with the regulation of signal transduction by p53 class mediators- essential for DNA damage response, intrinsic apoptotic signal, and regulation of protein ubiquitination- constitute more than 30% of the genes overexpressed in clusters of activated HSCs (<xref ref-type="bibr" rid="B182">Wang H. et al., 2022</xref>).</p>
</sec>
</sec>
<sec id="S4">
<label>4</label>
<title>The atlas of astrocytes in nervous system diseases</title>
<p>The highly specialized glial cells, astrocytes, are involved in various functions in the brain, including the maintenance of the blood-brain barrier integrity (<xref ref-type="bibr" rid="B1">Abbott et al., 2006</xref>; <xref ref-type="bibr" rid="B70">Heithoff et al., 2021</xref>), ion homeostasis in the neuronal microenvironment, regulation of neurotransmitters such as glutamate and GABA, neuronal excitability, and plasticity through metabolic coupling with neurons. Because of their essential role in providing physical, energetic, and nutritional support to neurons and surrounding cells in the brain, astrocytes are key targets in the etiology of neurological disorders such as Alzheimer&#x2019;s disease (AD), Parkinson&#x2019;s disease (PD), Huntington&#x2019;s disease (HD), epilepsy, depression, schizophrenia, and hepatic encephalopathy (HE) (<xref ref-type="bibr" rid="B151">Sepehrinezhad et al., 2023</xref>).</p>
<p>In the normal brain, astrocytes display transcriptomic heterogeneity across different brain regions (<xref ref-type="bibr" rid="B18">Boisvert et al., 2018</xref>; <xref ref-type="bibr" rid="B31">Chai et al., 2017</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>). For example, studies in mice have described significant astrocyte diversity between the hippocampal and striatal circuits. Populations of striatal astrocytes exhibit &#x201C;<italic>per se</italic>&#x201D; enriched genes related to the cell cycle, cell proliferation, or chromosome structure, such as <italic>Fam64a</italic>, <italic>Fzd5</italic>, <italic>Esco2</italic>, <italic>Sgo1</italic>, <italic>Kif18b</italic>, <italic>Ttk</italic>, <italic>Cdc20</italic>, <italic>Cdk1</italic>. Meanwhile, genes involved in extracellular structure organization, synapse organization, biogenesis, neuronal differentiation and adult neurogenesis- such as <italic>Dsp</italic>, <italic>Zic2</italic>, <italic>Serpinf1 and 2</italic>, <italic>Paupar, Zic1</italic>, <italic>Hopx</italic>, <italic>Angpt1</italic>, <italic>Cald1</italic>, <italic>Cav1</italic>, <italic>Gpnmb</italic>- are enriched in hippocampal astrocytes (<xref ref-type="bibr" rid="B31">Chai et al., 2017</xref>). However, specific genes that encode proteins involved in the homeostasis of synaptic transmission- such as the glutamate aspartate transporter (<italic>Slc1a3</italic>, GLAST), glutamate transporter (<italic>Slc1a2</italic>, Glt-1), glutamine synthetase (<italic>Glul</italic>, GS), and the &#x03B3;-aminobutyric acid transporter (<italic>Slc6a11</italic>, GAT3)- maintain similar expression levels in cortical, hypothalamic and cerebellar astrocyte populations (<xref ref-type="bibr" rid="B18">Boisvert et al., 2018</xref>). The latest report this year indicates that more than 57 million people live with neurodegenerative disease (<xref ref-type="bibr" rid="B78">Imam et al., 2025</xref>), resulting in cognitive and physical disability, low quality life and productivity of patients representing a high economic burden. In 2023, only in United States, approximately 6.7 million individuals were diagnosed with AD (<xref ref-type="bibr" rid="B56">Giri et al., 2024</xref>). Based on recent worldwide projections, an estimated 25.2 million people may be living with PD in 2050 (<xref ref-type="bibr" rid="B161">Su et al., 2025</xref>). Here, we describe the different transcriptomic profiles observed in various neurocognitive disorders, highlighting the genes involved in astrocyte reactivity.</p>
<sec id="S4.SS1">
<label>4.1</label>
<title>Alzheimer&#x2019;s disease</title>
<p>The etiology of AD remains unclear, but hallmark lesions in AD are characterized by abnormal folding and aggregation of amyloid-&#x00DF; (A&#x00DF;) and Tau proteins (<xref ref-type="bibr" rid="B22">Breijyeh and Karaman, 2020</xref>; <xref ref-type="bibr" rid="B39">Cummings et al., 1998</xref>). Astrocytes are involved in the pathophysiology of AD (<xref ref-type="bibr" rid="B22">Breijyeh and Karaman, 2020</xref>; <xref ref-type="bibr" rid="B25">Cai et al., 2017</xref>; <xref ref-type="bibr" rid="B177">Verkhratsky et al., 2010</xref>). Early studies on AD have shown an abundant population of glial cells at the neuritic plaques. It is now well established that reactive astrogliosis at the late stages of AD is a pathological modification observed in both the human brain and tissues isolated from AD animal models (<xref ref-type="bibr" rid="B177">Verkhratsky et al., 2010</xref>). Sequencing of single-nucleus RNA from astrocytes in brain regions representing the hierarchical spreading of pTau neurofibrillary tangles (NFB) along neural networks (i.e., using the Braak NFT staging system: entorhinal region, inferior temporal gyrus, dorsolateral prefrontal cortex, secondary and primary visual cortex), reveals transcriptomic changes in astrocytes throughout the temporal progression of AD in human brains (<xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>). The expression of relevant genes in cell energy metabolism (Aldh2, Ckb, Pfkb), lipid metabolism (Apoe, Lrp4), cell-cell communication and mitochondrial function (Gjal1), and intracellular transport (Atp2b4, Slc27a1, Slc38a2, Slc39a11, Slc39a12, Trak1) is low at early and intermediate stages, peaks at the late stages of AD, and then decreases expression without returning to baseline at the end of the stage characterized by moderate NPs (<xref ref-type="bibr" rid="B14">Bhalla et al., 2023</xref>; <xref ref-type="bibr" rid="B115">Lv et al., 2015</xref>; <xref ref-type="bibr" rid="B142">Ren et al., 2020</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B165">Sun et al., 2016</xref>; <xref ref-type="bibr" rid="B190">Wilson et al., 1997</xref>; <xref ref-type="bibr" rid="B217">Zheng et al., 2024</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). However, specific genes are upregulated in astrocytes at late stages of AD. These include genes that encode heat shock proteins (HSP90AA1, HSP90AB1, HSPA1A, HSPA1B, HSPA4, HSPA4L, HSPA8, HSPA9, HSPB1, HSPD1, HSPH1), antioxidant response (NFE2L2, PRDX1, SOD1, SOD2), inflammatory response (IL17RB, NFAT5), translation factors (EEF1A1, EIF1, EIF2S2), cytoskeleton and extracellular matrix proteins (CLIP2, MAP2, VIM, MMP16, PLOD2 and 3, SERPINH1, ST6GALNAC6), and glutamate metabolism (GS, Glt-1) (<xref ref-type="bibr" rid="B46">Escartin et al., 2021</xref>; <xref ref-type="bibr" rid="B53">Geisert et al., 1990</xref>; <xref ref-type="bibr" rid="B122">Nakano-Kobayashi et al., 2023</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B167">Szeliga, 2020</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). These findings demonstrate that astrocytes exhibit a strong response to various types of stress in AD.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Transcriptome atlas of reactive astrocytes in neurocognitive disorders.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="center">Neurocognitive disease</th>
<th valign="top" align="center">Gen</th>
<th valign="top" align="center">Regulation</th>
<th valign="top" align="center">Cellular function</th>
<th valign="top" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" rowspan="24">Alzheimer&#x2019;s disease</td>
<td valign="top" align="center"><italic>Aldh2</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Energy metabolism<break/> GABA synthesis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B14">Bhalla et al., 2023</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Ckb</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Energy metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B190">Wilson et al., 1997</xref>; <xref ref-type="bibr" rid="B217">Zheng et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Pfkb</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Energy metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B115">Lv et al., 2015</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Apoe</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Lipid metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Lrp4</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Neuromuscular junction cell metabolism<break/> Glutamatergic neurotransmission</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B165">Sun et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Gja1</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Cell-cell communication<break/> Mitochondrial function</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B142">Ren et al., 2020</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Atp2b4, Slc27a1, Slc38a2, Slc39a11, Slc39a12</italic>,<break/> <italic>Trak1</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Intracellular transport</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Hsp90aa1, Hsp90ab1, Hspa1a, Hspa1b, Hspa4, Hspa4l, Hspa4l, Hspa8, Hspa9, Hspb1, Hspd1, Hsph1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Protein folding</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Nfe2l2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Antioxidant response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B122">Nakano-Kobayashi et al., 2023</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Prdx1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Antioxidant response, apoptosis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B167">Szeliga, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Sod1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Antioxidant response,</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Sod2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Antioxidant response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Il17rb</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response, glutamatergic neurotransmission</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B97">Kostic et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Nfat5</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response, cell volume regulation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B67">He et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Eef1a1, Eif1, Eif2s2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Neuroinflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref>; <xref ref-type="bibr" rid="B4">Aisha et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Clip2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Map2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B53">Geisert et al., 1990</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Vim</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B46">Escartin et al., 2021</xref>; <xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mmp16</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Plod2/3</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Serpinh1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>St6galnac6</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell cytoskeleton</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Glul</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Glutamate metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Slc1a2</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Glutamatergic neurotransmission, glutamate metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Serrano-Pozo et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="center" rowspan="7">Parkinson&#x2019;s disease</td>
<td valign="top" align="center"><italic>Park7</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Oxidative response, inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B71">Helgueta et al., 2024</xref>; <xref ref-type="bibr" rid="B87">Kam et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Slc1a2</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Glutamatergic neurotransmission, glutamate metabolism</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B87">Kam et al., 2020</xref>; <xref ref-type="bibr" rid="B91">Kim et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Snca</italic></td>
<td valign="top" align="center">&#x2191;<break/> Missense mutation</td>
<td valign="top" align="left">Cell cytoskeleton, &#x03B1;-synuclein aggregation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B8">An et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Gu et al., 2010</xref>; <xref ref-type="bibr" rid="B96">Konno et al., 2016</xref>; <xref ref-type="bibr" rid="B130">Ozoran and Srinivasan, 2023</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Gfap</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell structure, cell-cell communication, cell migration</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B58">Gong et al., 2025</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Serpina3</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell apoptosis, extracellular matrix remodeling, inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B5">Akbor et al., 2021</xref>; <xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>; <xref ref-type="bibr" rid="B209">Zattoni et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Aqp4</italic></td>
<td valign="top" align="center">&#x2191;&#x2193;</td>
<td valign="top" align="left">Cell water homeostasis, regulation of small uncharged solutes</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Binder et al., 2012</xref>; <xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>; <xref ref-type="bibr" rid="B143">Ren et al., 2013</xref>; <xref ref-type="bibr" rid="B157">Simon and Iliff, 2016</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Chi3l1</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Immune response, cell proliferation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B33">Chen A. et al., 2021</xref>; <xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>; <xref ref-type="bibr" rid="B98">Ku et al., 2011</xref>; <xref ref-type="bibr" rid="B205">Yeo et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="center" rowspan="8">Hepatic encephalopathy</td>
<td valign="top" align="center"><italic>Gfap</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell structure, inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B45">Elsherbini et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Aqp4</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell water homeostasis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B45">Elsherbini et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Tnf</italic>&#x03B1;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Inflammatory response</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B13">Balzano et al., 2020</xref>; <xref ref-type="bibr" rid="B45">Elsherbini et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Rp110</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Iron transport</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mc4r</italic></td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="left">Cell energy</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Lrp8</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Synaptic plasticity</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2022</xref>; <xref ref-type="bibr" rid="B132">Passarella et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Mapk8</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Cell apoptosis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="center"><italic>Bdnf</italic></td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="left">Synaptic plasticity</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2022</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>&#x2191;Upregulation in astrogliosis. &#x2193;Downregulation in astrogliosis.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS2">
<label>4.2</label>
<title>Parkinson&#x2019;s disease</title>
<p>A pathological feature of PD is the degeneration and loss of dopaminergic neurons in the substantia nigra pars compacta (<xref ref-type="bibr" rid="B19">Booth et al., 2017</xref>). However, it has been demonstrated that astrocyte dysfunction may also be involved in the pathogenesis of PD (<xref ref-type="bibr" rid="B19">Booth et al., 2017</xref>; <xref ref-type="bibr" rid="B87">Kam et al., 2020</xref>). Specific genes have been shown to have higher expression in astrocytes from postmortem human brain tissue, such as <italic>Park7</italic>, which is involved in the response to oxidative stress. Deletion or mutations in <italic>Park7</italic> increase sensitivity to oxidative stress and proinflammatory responses, disrupt extracellular matrix interaction, increase microglial activation, and impair glutamate uptake via EAAT2 (<italic>Slc1a2</italic>) (<xref ref-type="bibr" rid="B41">De Miranda et al., 2018</xref>; <xref ref-type="bibr" rid="B71">Helgueta et al., 2024</xref>; <xref ref-type="bibr" rid="B87">Kam et al., 2020</xref>; <xref ref-type="bibr" rid="B91">Kim et al., 2016</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). The gene that encodes to &#x03B1;-synuclein protein, <italic>Snca</italic>, is considered a key player in PD. Mutations in the <italic>Snca</italic> gene may lead to early onset of PD. The neuropathological characteristics observed in postmortem brain samples from patients with <italic>Snca</italic> duplication mutations reveal histopathological damage in the locus ceruleus, the dorsal motor nucleus of the vagus, and the basal nucleus of Meynert, with aggregation of &#x03B1;-synuclein in the form of Lewy bodies and Lewy neurites, as well as a loss of dopaminergic neurons in the substantia nigra, amygdala and hippocampus, which are hallmarks of PD (<xref ref-type="bibr" rid="B96">Konno et al., 2016</xref>). Importantly, the aggregation of &#x03B1;-synuclein through phagocytic uptake, secretion of exosomes, transfer via tunneling nanotubules, and <italic>de novo</italic> aggregation has been reported in astrocytes (<xref ref-type="bibr" rid="B130">Ozoran and Srinivasan, 2023</xref>). This leads to chronic inflammation, astrocyte reactivity, and a reduction in their functional activity related to glutamate uptake, which correlates with the exacerbation of PD pathology (<xref ref-type="bibr" rid="B8">An et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Gu et al., 2010</xref>). Recently, scRNA-seq profiles within the substantia nigra of PD samples identified that <italic>Gfap</italic>, <italic>Serpina3</italic>, <italic>Aqp4</italic>, and <italic>Chi3l1</italic> genes were upregulated in astrocyte populations with PD (<xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). The water channel aquaporin-4 (AQP4) encoded by the <italic>Aqp4</italic> gene (<xref ref-type="bibr" rid="B84">Jung et al., 1994</xref>), is the most abundant aquaporin and is highly expressed in astrocytes endfoot, facilitating the bidirectional flow of water, cerebrospinal fluid, and small uncharged solutes from the brain parenchyma, making it a key player in water homeostasis in the CNS (<xref ref-type="bibr" rid="B84">Jung et al., 1994</xref>; <xref ref-type="bibr" rid="B148">Salman et al., 2022</xref>; <xref ref-type="bibr" rid="B157">Simon and Iliff, 2016</xref>). Intriguingly, changes or loss of AQP4 in perivascular locations have been reported not only in PD but also in AD, traumatic brain injury and epilepsy (<xref ref-type="bibr" rid="B16">Binder et al., 2012</xref>; <xref ref-type="bibr" rid="B143">Ren et al., 2013</xref>; <xref ref-type="bibr" rid="B157">Simon and Iliff, 2016</xref>). Although oligodendrocytes are considered the primary source of SERPINA3N protein, dysregulation of the <italic>Serpina3</italic> gene in astrocytes has been identified as a gene signature in AD and schizophrenia (<xref ref-type="bibr" rid="B5">Akbor et al., 2021</xref>; <xref ref-type="bibr" rid="B209">Zattoni et al., 2022</xref>). The role of SERPINA3 in neurological diseases is still not fully understood. It displays a cell-specific molecular mechanism but modulates blood-brain barrier integrity and neuronal cell death, and it is involved in the inflammatory response (<xref ref-type="bibr" rid="B219">Zhu et al., 2024</xref>). Interestingly, the glycoprotein Chitinase-3-like 1 protein (CHI3L1) is differentially expressed in the pseudotime trajectory in PD. This pattern is associated with astrocyte activation (<xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>). CHI3L1 has been identified as a biomarker for the progression of neurocognitive disorders such as PD and multiple sclerosis (<xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>; <xref ref-type="bibr" rid="B159">Song et al., 2024</xref>; <xref ref-type="bibr" rid="B169">Talaat et al., 2023</xref>; <xref ref-type="bibr" rid="B205">Yeo et al., 2019</xref>). It is secreted in response to immune activation, mainly by activated astrocytes in the CNS and its high expression is also related to glioma invasion and patient survival prognosis (<xref ref-type="bibr" rid="B33">Chen A. et al., 2021</xref>; <xref ref-type="bibr" rid="B98">Ku et al., 2011</xref>). In PD, CHI3L1 is highly expressed in astrocyte populations in the middle of the differentiation trajectory toward reactive astrocytes (<xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>). The specific molecular mechanism of CHI3L1 in PD is not yet fully understood; however, it has been demonstrated that the intrinsic pathway of CHI3L1 in glioma involves the PI3K/AKT/mTOR pathway (<xref ref-type="bibr" rid="B33">Chen A. et al., 2021</xref>). CHI3L1 binds to the Receptor for Advanced Glycation End products (RAGE), activating the downstream ERK1/2-MAPK pathway, which is associated with cancer cell proliferation (<xref ref-type="bibr" rid="B205">Yeo et al., 2019</xref>). It has been suggested that CHI3L1 promotes the activation of the NF-&#x03BA;B pathway, leading to an inflammatory response and PD progression (<xref ref-type="bibr" rid="B58">Gong et al., 2025</xref>).</p>
</sec>
<sec id="S4.SS3">
<label>4.3</label>
<title>Hepatic encephalopathy</title>
<p>Hepatic encephalopathy (HE) is a brain dysfunction caused by acute or chronic liver insufficiency and/or portal-systemic shunting (<xref ref-type="bibr" rid="B109">Lu, 2023</xref>; <xref ref-type="bibr" rid="B146">Rose et al., 2020</xref>). HE is characterized by a spectrum of neurological and/or psychiatric abnormalities that may include acute changes in mental state, cognitive disturbances, motor impairment, sleep abnormalities, and, in severe cases, dementia, or a comatose state (<xref ref-type="bibr" rid="B178">Vilstrup et al., 2014</xref>). The pathophysiology of HE has not been fully elucidated; however, the elevation of toxins such as ammonia in the blood following liver disease- followed by the accumulation of neurotoxins (e.g., ammonia, manganese, inflammatory cytokines and glutamate) and metabolic impairment- contribute to the pathogenesis of HE (<xref ref-type="bibr" rid="B109">Lu, 2023</xref>). Interestingly, glial cells are a key target in HE. Early changes observed in experimental models of HE demonstrated cytoplasmic hypertrophy in astrocytes. Additionally, Alzheimer type II astrocyte change has been reported as a distinctive histopathological feature during the later phases of HE in human brain tissue (<xref ref-type="bibr" rid="B123">Norenberg, 1987</xref>).</p>
<p>Significative changes in astrocytic genes such as <italic>Gfap</italic>, <italic>Aqp4</italic>, <italic>Tnf</italic>&#x03B1;, and Kir 4.1 have been reported in the cerebral cortex in a HE rat model induced by thioacetamide (<xref ref-type="bibr" rid="B45">Elsherbini et al., 2022</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). Similar to other neurocognitive diseases, the expression of <italic>Gfap</italic>, <italic>Aqp4</italic> and <italic>Tnf</italic>&#x03B1; genes increased in the brain tissue in HE, leading to gliosis, astrocyte swelling with enlarged nuclei, neuropil vacuolation, nuclear pyknosis in neurons, and an increase in brain water content (<xref ref-type="bibr" rid="B45">Elsherbini et al., 2022</xref>). Hyperammonemia, a hallmark in HE, increases the levels of <italic>TNF</italic>&#x03B1; through the activation and nuclear translocation of NF-&#x03BA;B in microglia, astrocytes and Purkinje neurons in both postmortem and rat cerebellar tissues (<xref ref-type="bibr" rid="B13">Balzano et al., 2020</xref>). This is correlated with an increase in GABAergic neurotransmission mediated by the activation of the TNFR1 receptor (<xref ref-type="bibr" rid="B13">Balzano et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Cabrera-Pastor et al., 2018</xref>). The administration of cGMP reduces glial activation, neuroinflammation, and normalizes extracellular glutamate and GABA levels in the cerebellum, leading to the restoration of motor coordination in hyperammonemia and HE (<xref ref-type="bibr" rid="B24">Cabrera-Pastor et al., 2018</xref>). The cortical transcriptome profile in a mouse model of HE induced by bile duct ligation demonstrated an increase in genes that code for proteins related to iron transport (<italic>Rp110</italic>), energy expenditure, and insulin sensitivity (<italic>Mc4r</italic>). Meanwhile, proteins such as the low-density lipoprotein receptor-related protein 8 (<italic>Lrp8</italic>), MAPK8 mitogen-activated protein kinase 8 (<italic>Mapk8</italic>), brain-derived neurotrophic factor (<italic>Bdnf</italic>) are significantly decreased in HE (<xref ref-type="bibr" rid="B92">Kim et al., 2022</xref>; <xref ref-type="table" rid="T2">Table 2</xref>). Importantly, these protein expression patterns are closely related to AD and PD pathology. For example, LRP8, as a receptor of apolipoprotein E (ApoE) and Reelin, may initiate signal pathways crucial for synaptic plasticity through the tyrosine phosphorylation of the adaptor protein Dab1/2, followed by the activation of PI3K, ERK1/2, Src-family kinases and protein kinase B/Akt signaling cascades (<xref ref-type="bibr" rid="B132">Passarella et al., 2022</xref>). Moreover, ApoE, specifically the isoform ApoE4, is considered a genetic risk factor for sporadic AD. APOE4 induces a proinflammatory response by regulating Transgelin 3 expression and, ultimately, NF-kB activation in human astrocytes (<xref ref-type="bibr" rid="B10">Arnaud et al., 2022</xref>).</p>
</sec>
</sec>
<sec id="S5">
<label>5</label>
<title>Non-protein-coding genes involved in HSCs and astroglial activation</title>
<p>The long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) are two families of non-protein-coding genes. The interplay between miRNA and lncRNA is critical in gene expression regulation. This crosstalk regulates fundamental cellular events, including cell proliferation, differentiation, apoptosis, and immune response (<xref ref-type="bibr" rid="B133">Pathania et al., 2024</xref>). The evidence indicates that both miRNA and lncRNA are involved in liver diseases and neurocognitive disorders (<xref ref-type="bibr" rid="B54">Ghafouri-Fard et al., 2021</xref>; <xref ref-type="bibr" rid="B82">Jiang et al., 2024</xref>; <xref ref-type="bibr" rid="B100">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B136">Qi et al., 2017</xref>; <xref ref-type="bibr" rid="B195">Wu Z. et al., 2021</xref>).</p>
<sec id="S5.SS1">
<label>5.1</label>
<title>microRNAs and lncRNAs implicated in HSCs activation</title>
<p>Critical cell signaling pathways involved in the activation of HSCs and the progression of liver fibrosis- such as Wnt/&#x00DF;-catenin, NF-&#x03BA;B, TGF-&#x00DF;/Smad, Hedgehog, and Notch- are modulated by lncRNAs and miRNAs (<xref ref-type="bibr" rid="B100">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B195">Wu Z. et al., 2021</xref>). As described in Section &#x201C;2 Physiological basis of brain-liver axis, after liver injury,&#x201D; qHSCs differentiate into activated HSCs. In this phase, it has been demonstrated that the microRNAs- namely miR-31, miR-17-5p, miR-19, miR-27b, miR-503, miR-103-3p, miR-130a/b, and miR-942- are highly expressed in liver fibrosis tissue and <italic>in vitro</italic> models of liver injury (<xref ref-type="bibr" rid="B34">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B76">Hu et al., 2015</xref>; <xref ref-type="bibr" rid="B110">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B170">Tao et al., 2020</xref>; <xref ref-type="bibr" rid="B196">Xie X. et al., 2021</xref>; <xref ref-type="bibr" rid="B207">Yu et al., 2015</xref>; <xref ref-type="bibr" rid="B210">Zhang et al., 2016</xref>; <xref ref-type="bibr" rid="B218">Zhu et al., 2018</xref>). These miRNAs promote the phenotypic differentiation of qHSCs into activated HSCs via TGF-&#x00DF;, PI3K/AKT, and PPAR-<sub>&#x03B3;</sub> pathways (<xref ref-type="bibr" rid="B100">Li et al., 2023</xref>; <xref ref-type="table" rid="T3">Table 3</xref>). Interestingly, several studies have reported the downregulation of specific microRNAs in various fibrotic murine models, and inducing the expression of these microRNAs may lead to the suppression of HSC activation. miR-98, miR-30, miR-130a-3p, miR-146a-5p, miR-200a, miR-489-3p, miR-708, sja-miR-71a inhibit HSC activation via TGF-&#x00DF;, PI3K/AKT, Wnt/&#x00DF;-catenin, PPAR-<sub>&#x03B3;</sub>, JAG1/Notch3, and Hedgehog signaling pathways (<xref ref-type="bibr" rid="B43">Du et al., 2015</xref>; <xref ref-type="bibr" rid="B103">Li L. et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B107">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B173">Tu et al., 2015</xref>; <xref ref-type="bibr" rid="B181">Wang H. et al., 2020</xref>; <xref ref-type="bibr" rid="B184">Wang Q. et al., 2020</xref>; <xref ref-type="bibr" rid="B201">Yang et al., 2020</xref>; <xref ref-type="table" rid="T3">Table 3</xref>). After phenotypic differentiation, activated HSCs highly express &#x03B1;-SMA, collagen alpha 1 (COL1A), and GFAP, modifying the architecture of the extracellular matrix (<xref ref-type="bibr" rid="B30">Cequera, 2014</xref>; <xref ref-type="bibr" rid="B214">Zhao et al., 2024</xref>). During this phase, sja-miR-1, miR-140-3p, miR-195-3p up-regulate the expression of &#x03B1;-SMA and accumulation of extracellular matrix through the regulation of Wnt/&#x00DF;-catenin and PI3K/AKT signaling (<xref ref-type="bibr" rid="B100">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B187">Wang Y. et al., 2020</xref>; <xref ref-type="bibr" rid="B179">Wang A. et al., 2022</xref>; <xref ref-type="bibr" rid="B193">Wu et al., 2019</xref>). On the other hand, the role of LncRNAs has been reported in the development of liver cirrhosis and HCC progression by activating HSCs (<xref ref-type="bibr" rid="B195">Wu Z. et al., 2021</xref>). LncRNA-ATB competitively binds to the common miRNA responsive element of miR-425-5p with TGF-&#x00DF; type II receptor (TGFBR2) and SMAD2, leading to activated HSCs and increased Col1A1 and &#x03B1;-SMA production (<xref ref-type="bibr" rid="B49">Fu et al., 2016</xref>). The upregulation of the lncRNA HOXA transcript at the distal tip (HOTTIP) has been described in human liver samples with liver fibrosis and cirrhosis as well as in liver tissue and HSC of CCl<sub>4</sub> -treated mouse. HOTTIP negatively regulates miR-148a in a sequence-specific manner (<xref ref-type="bibr" rid="B105">Li Z. et al., 2018</xref>). miR-148a is involved in hepatocytic differentiation of progenitor cells (<xref ref-type="bibr" rid="B85">Jung et al., 2016</xref>). The downregulation of miR-148a-3p through direct interaction with HOTTIP (<xref ref-type="bibr" rid="B65">Han L. et al., 2020</xref>) leads to high levels of mRNA and protein expression of TGFBR1, TGFBR2, Smad2 and Smad3- regulators of HSC activation via the TGF-&#x00DF;/SMAD pathways (<xref ref-type="bibr" rid="B105">Li Z. et al., 2018</xref>). The lncRNA small nucleolar RNA host gene 7 (SNHG7) and lncRNA plasmacytoma variant translocation 1 (PVT1) are considered potential oncogenes in HCC (<xref ref-type="bibr" rid="B38">Cui et al., 2017</xref>; <xref ref-type="bibr" rid="B197">Xie et al., 2020</xref>; <xref ref-type="bibr" rid="B202">Yang et al., 2019</xref>). Similar to HOTTIP, SNHG7 functions as a competing endogenous RNA (ceRNA). It has been reported that SNHG7 interacts with various miRNAs, including miR-9-5p, miR-29b, miR-122-5p, miR-216b, and miR-425. For example, SNHG7 binds to miR-29b and inhibits its expression. This event affects the expression of DNA methyltransferase 3A (DNMT3A), a downstream target gene of miR-29b, and induces HSC activation evidenced by increased levels of &#x03B1;-SMA, Coll&#x03B1;1 and autophagy-related factors (<xref ref-type="bibr" rid="B198">Xie Z. et al., 2021</xref>). Moreover, SNHG7 knockdown increased the levels of miR-122-5p and reduced the mRNA and protein levels of the ribosomal protein L4 (RPL4) diminishing cell proliferation, migration, and invasion in HCC (<xref ref-type="bibr" rid="B202">Yang et al., 2019</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>miRNAs and lncRNAs involved in the regulation of HSCs activation and the maintenance of its fibrotic characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="center">Cellular function</th>
<th valign="top" align="center">miRNA/lncRNA</th>
<th valign="top" align="center">Target</th>
<th valign="top" align="center">Signaling<break/> pathway</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Promote HSCs activation</td>
<td valign="top" align="left">miR-31, miR-17-5p, miR-19, miR-27b, miR-503, miR-103-3p, miR-130a/b, and miR-942</td>
<td valign="top" align="left"><italic>FIH1</italic>, <italic>SMAD7</italic>, <italic>TGFBR2</italic>, <italic>KLF4</italic>, <italic>PPAR-<sub>&#x03B3;</sub></italic></td>
<td valign="top" align="center">TGF-&#x03B2;,<break/> PI3K/AKT<break/> PPAR-<sub>&#x03B3;</sub></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B76">Hu et al., 2015</xref>; <xref ref-type="bibr" rid="B110">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B170">Tao et al., 2020</xref>; <xref ref-type="bibr" rid="B196">Xie X. et al., 2021</xref>; <xref ref-type="bibr" rid="B207">Yu et al., 2015</xref>; <xref ref-type="bibr" rid="B210">Zhang et al., 2016</xref>; <xref ref-type="bibr" rid="B218">Zhu et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">LncRNA-ATB, HOTTIP, SNHG7, PVT1</td>
<td valign="top" align="left"><italic>TGFBR1/2</italic>, <italic>SMAD2/3</italic><break/> <italic>DNMT3A</italic>,<break/> <italic>PTCH1</italic></td>
<td valign="top" align="center">TGF-&#x03B2;,<break/> Wnt/&#x03B2;-catenin</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Fu et al., 2016</xref>; <xref ref-type="bibr" rid="B65">Han L. et al., 2020</xref>; <xref ref-type="bibr" rid="B105">Li Z. et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Inhibit HSCs activation</td>
<td valign="top" align="left">miR-98, miR-30, miR-130a-3p, miR-146a-5p, miR-200a, miR-489-3p, miR-708, sja-miR-71a</td>
<td valign="top" align="left"><italic>HLF</italic>, <italic>KLF11</italic>, <italic>TGFBR1/2</italic>, <italic>WNT1</italic>, <italic>WNT5</italic>&#x03B1;, <italic>GLI3</italic>, <italic>JAG1</italic>, <italic>ZEB1</italic>, <italic>SEMA4D</italic></td>
<td valign="top" align="center">TGF-&#x03B2; PI3K/AKT<break/> Wnt/&#x03B2;-catenin<break/> PPAR-<sub>&#x03B3;</sub>, JAG1/Notch3<break/> Hedgehog</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B43">Du et al., 2015</xref>; <xref ref-type="bibr" rid="B103">Li L. et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B107">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B173">Tu et al., 2015</xref>; <xref ref-type="bibr" rid="B183">Wang L. et al., 2020</xref>; <xref ref-type="bibr" rid="B184">Wang Q. et al., 2020</xref>; <xref ref-type="bibr" rid="B201">Yang et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">LincRNA-p21</td>
<td valign="top" align="left">p21</td>
<td valign="top" align="center">Wnt/&#x03B2;-catenin</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B208">Yu et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Promote fibrotic features in HSCs (increase expression of &#x03B1;-SMA, Col1A1, and accumulation of extracellular matrix)</td>
<td valign="top" align="left">sja-miR-1, mir-140-3p, miR-195-3p</td>
<td valign="top" align="left"><italic>SFRP1</italic>, <italic>PTEN</italic></td>
<td valign="top" align="center">Wnt/&#x03B2;-catenin PI3K/AKT</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B183">Wang L. et al., 2020</xref>; <xref ref-type="bibr" rid="B179">Wang A. et al., 2022</xref>; <xref ref-type="bibr" rid="B193">Wu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">LncRNA-ATB, SNHG7, PVT1</td>
<td valign="top" align="left"><italic>TGBR2</italic>, <italic>DNMT3A</italic>,<break/> <italic>PTCH1</italic></td>
<td valign="top" align="center">TGF-&#x03B2;</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Fu et al., 2016</xref></td>
</tr>
</tbody>
</table></table-wrap>
<p>It has been reported that downregulation of PVT1 inhibits HSC activation and proliferation <italic>in vitro</italic> and attenuates collagen deposits <italic>in vivo</italic> by rescuing demethylation and overexpression of Patched1 (PTCH1) caused by miR-152 (<xref ref-type="bibr" rid="B216">Zheng et al., 2016</xref>).</p>
<p>Human cirrhotic liver and murine models of cirrhosis show a marked reduction in the long intergenic non-coding RNA-p21 (lincRNA-p21) (<xref ref-type="bibr" rid="B82">Jiang et al., 2024</xref>). Particularly, lentivirus-mediated lincRNA-p21 transfer into mice decreased the severity of liver fibrosis <italic>in vivo</italic>; the enhancement of p21 mRNA and protein expression inhibits proliferation, and reverses the activation of HSCs to their quiescent phenotype, reducing &#x03B1;-SMA and Col1A1 expression (<xref ref-type="bibr" rid="B215">Zheng et al., 2015</xref>). The suggested mechanism is that lincRNA-p21 suppresses HSC activation via suppression of the miR-17-5p-mediated-Wnt/&#x03B2;-catenin pathway (<xref ref-type="bibr" rid="B208">Yu et al., 2017</xref>; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec id="S5.SS2">
<label>5.2</label>
<title>microRNAs and lncRNAs implicated in astrocytic activation</title>
<p>Astrocytic activation is also regulated by post-transcriptional modulators. The upregulated levels of miRNA-125b have been reported in human astrocytes in an <italic>in vitro</italic> model of astrogliosis induced by interleukin-6 treatment. High levels of miRNA-125b are positively correlated with the glial cell markers, GFAP, and meanwhile exogenous treatment with anti-miRNA-125b attenuates glial proliferation by increasing the expression of the cyclin-dependent kinase inhibitor 2A (CDKN2A) (<xref ref-type="bibr" rid="B135">Pogue et al., 2010</xref>; <xref ref-type="table" rid="T4">Table 4</xref>). The p16<italic><sup>INK4A</sup></italic> protein, encoded by the CDKN2A, is inactivated by promoter methylation in astrocytomas and gliomas (<xref ref-type="bibr" rid="B6">Alves et al., 2013</xref>; <xref ref-type="bibr" rid="B50">Fueyo et al., 1996</xref>), which is related to the age and sex of patients, showing a predominance of methylated CDKN2A in astrocytic tumor tissue of young female patients (<xref ref-type="bibr" rid="B6">Alves et al., 2013</xref>). Another study in normal human astrocytes but stimulated with lipopolysaccharide (LPS) reported that miR-211 inhibited the brain-derived neurotrophic factor (BDNF) expression by binding to the 3&#x2032;-UTR of BDNF. miR-211 significantly downregulates BDNF mRNA and protein expression, thereby suppressing reactive astrocytic proliferation via the PI3K/AKT pathway (<xref ref-type="bibr" rid="B211">Zhang et al., 2017</xref>). Similarly, BDNF is a direct target of miR-140, which binds to the 3&#x2032;-UTR of BDNF and attenuates the effects of LPS-induced injury in human astroglial cultures. Furthermore, ectopic miR-140 expression may lead to a restoration of the expression of IL-6 and TGF-&#x03B1; (<xref ref-type="bibr" rid="B174">Tu et al., 2017</xref>; <xref ref-type="table" rid="T4">Table 4</xref>). A negative regulation in astrogliosis has been reported following the induced overexpression of miR-145, achieved through a lentivirus-mediated pre-miRNA delivery system utilizing the promoter of GFAP. Astrocyte-specific overexpression of miR-145 also attenuates the morphological changes of reactive astrocytes, as well as cell proliferation and migration (<xref ref-type="table" rid="T4">Table 4</xref>). Since overexpression of miR-145 suppresses the maturation of astrocytes derived from glial progenitors, GFAP and c-myc have been suggested as potential targets of miR-145 to reduce hypertrophic reactivity through the p38 MAPK and ERK1/2 signaling pathways (<xref ref-type="bibr" rid="B180">Wang et al., 2015</xref>). The upregulation of GFAP, hypertrophy of the cell body, astrogliosis, and deficits in dendritic spine formation have been reported in the lateral septal nucleus and cortex in Dicer-null transgenic mice. The molecular mechanism involves the downregulation of miRNA-324-5p, followed by elevated astrocytic secretion of chemokine ligand 5 (CCL5) and downstream inhibition of the MAPK/CREB signaling pathway, leading to dysfunction in astrocyte-neuron crosstalk in a long-lasting manner (<xref ref-type="bibr" rid="B162">Sun et al., 2019</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>miRNAs and lncRNAs involved in the regulation of astrogliosis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="center">Cellular function</th>
<th valign="top" align="center">miRNA/lncRNA</th>
<th valign="top" align="center">Target</th>
<th valign="top" align="center">Signaling<break/> pathway</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Promote astrogliosis</td>
<td valign="top" align="left">miRNA-125b, miRNA-211, miRNA-324-5p</td>
<td valign="top" align="left"><italic>CDKN2A</italic>, <italic>BDNF</italic>, <italic>CCL5</italic></td>
<td valign="top" align="center">CDKN2A/p16<sup>INK4A</sup>,<break/> PI3K/Akt<break/> MAPK/CREB</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B6">Alves et al., 2013</xref>; <xref ref-type="bibr" rid="B162">Sun et al., 2019</xref>; <xref ref-type="bibr" rid="B211">Zhang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">H19</td>
<td valign="top" align="left"><italic>STAT3</italic>, <italic>C-MYC</italic></td>
<td valign="top" align="center">JAK/STAT</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B63">Han et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Inhibit astrocytic activation</td>
<td valign="top" align="left">miR-140, miR-145, miR-1-3p</td>
<td valign="top" align="left"><italic>BDNF</italic>, <italic>TGF</italic>-&#x03B1;, <italic>GFAP</italic>, <italic>C-MYC</italic>,<break/> <italic>CCL2</italic>, <italic>TNF</italic>-&#x03B1;</td>
<td valign="top" align="center">PI3K/AKT<break/> p38 MAPK, ERK1/2</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B104">Li P. et al., 2020</xref>; <xref ref-type="bibr" rid="B174">Tu et al., 2017</xref>; <xref ref-type="bibr" rid="B180">Wang et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">PRDM16-DT/ Prdm16os, UCA1</td>
<td valign="top" align="left">GLAST, MCT4</td>
<td valign="top" align="center">Rest/PRC2<break/> JAK/STAT</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B150">Schr&#x00F6;der et al., 2024</xref>; <xref ref-type="bibr" rid="B181">Wang H. et al., 2020</xref></td>
</tr>
</tbody>
</table></table-wrap>
<p>It has been reported that lncRNAs play a role in the regulation of inflammatory responses, microglial apoptosis, microglial pyroptosis, microglial activation, neuronal damage, and neuronal apoptosis in neurocognitive diseases (<xref ref-type="bibr" rid="B35">Chen M. et al., 2021</xref>). In this section, we describe the regulatory mechanisms of lncRNAs related to astrocyte dysfunction, mainly reactive astrogliosis.</p>
<p>The overexpression of the lncRNA H19 has been observed in glioblastoma tissue, and it is associated with glioma angiogenesis and invasion of glioma cells (<xref ref-type="bibr" rid="B81">Jia et al., 2016</xref>; <xref ref-type="bibr" rid="B83">Jiang et al., 2016</xref>). Overexpression of H19 through an adeno-associated viral vector delivery system in a rat epilepsy model induced the activation of hippocampal astrocytes and the release of proinflammatory cytokines, including IL-1&#x00DF;, IL-6, and TNF-&#x03B1; by promoting the expression of Stat3 and c-Myc via JAK/STAT signaling (<xref ref-type="bibr" rid="B63">Han et al., 2018</xref>). Moreover, H19 may act as ceRNA and competitively bind to miRNA let-7 and suppress its expression (<xref ref-type="bibr" rid="B86">Kallen et al., 2013</xref>) promoting changes in the morphology and proliferation of hippocampal astrocytes and epileptic seizures by targeting Stat3. This suggests the involvement of JAK/STAT signaling pathway during the activation of astrocytes in epileptogenesis (<xref ref-type="bibr" rid="B64">Han C. L. et al., 2020</xref>; <xref ref-type="table" rid="T4">Table 4</xref>). Importantly, the overexpression of miR-1-3p attenuates proliferation and activation of normal human astrocytes in an <italic>in vitro</italic> model of spinal cord injury induced by LPS treatment; miR-1-3p directly binds to H19 and CCL2 3&#x2019;UTR, reducing the levels of IL-6, and TNF-&#x03B1; (<xref ref-type="bibr" rid="B104">Li P. et al., 2020</xref>).</p>
<p>The lncRNA PRDM16-DT has emerged as a key regulator of astrocytes homeostasis. PRDM16-DT in human and Prdm16os in murine models are downregulated in AD. The knockdown of PRDM16-DT in human iPSC-derived astrocytes leads to functional deficits in astrocytes and induces astrogliosis downregulating central molecules of the glutamatergic neurotransmission, such as the glutamate transporter (GLAST) and lactate transporter (MCT4) correlated with disruption in glutamate uptake and lactate release. Prdm16os and PRDM16-DT exert their effects functioning as a decoy for RE1-Silencing Transcription factor (Rest) in conjunction with the methyltransferase Polycomb Repressive Complex 2 (PRC2) (<xref ref-type="bibr" rid="B150">Schr&#x00F6;der et al., 2024</xref>). Induced overexpression of the lncRNA urothelial cancer-associated 1 (UCA1) shows a protective effect on neuronal injury induced by kainic acid in rats; UCA1 inhibited KA-induced abnormal elevation of GLAST, astrocyte activation via JAK/STAT signaling pathway, moreover, cognitive deficits in epilepsy rats (<xref ref-type="bibr" rid="B181">Wang H. et al., 2020</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
</sec>
</sec>
<sec id="S6">
<label>6</label>
<title>Brain-liver axis clinical implications and therapeutic interventions</title>
<p>Astrocytes and hepatic stellate cells play significant roles in scar formation and the progression of cell damage in the CNS and hepatic tissue, respectively. Moreover, it has been demonstrated that HSCs regulate the blood-tissue barrier in response to liver injury through their activation (<xref ref-type="bibr" rid="B23">Buniatian et al., 2001</xref>). Similarly, astrocytes are essential for maintaining BBB integrity. The activation of both cell types induces inflammation and disrupts cytoskeletal architecture, followed by an increase in vascular wall permeability and the release of pro-inflammatory molecules and toxins into the bloodstream. In this context, bidirectional communication may occur between the brain and liver, contributing to the development of pathological states. By providing a comprehensive understanding of the molecules involved in the activation of both cell types, we can identify potential therapeutic targets for tissue repair to ameliorate neurocognitive and hepatic diseases.</p>
<sec id="S6.SS1">
<label>6.1</label>
<title>GFAP</title>
<p>Although the expression of GFAP in human-activated HSCs remains debated, various studies suggest GFAP as a hallmark in the differentiation of HSCs into myofibroblast and in astrogliosis (<xref ref-type="bibr" rid="B149">Schachtrup et al., 2011</xref>). Since GFAP is the main protein in the intermediate filaments of astrocytes, it has been recognized as a prototypical marker of reactive astrocytes. However, in rat hepatic tissue, GFAP displays different expression patterns depending on the time course of liver injury; for example, GFAP is highly expressed during acute injury but decreases in chronic responses. Particularly, GFAP expression has been correlated with the fraction volume of fibrosis at early stages in human cirrhotic tissue, when GFAP-positive HSCs are still negative to &#x03B1;-SMA, a marker of activated HSCs (<xref ref-type="bibr" rid="B26">Carotti et al., 2008</xref>). In this context, no relationship has been observed between &#x03B1;-SMA expression and fibrosis stage in patients with chronic hepatitis infection, but a correlation between GFAP and the fibrotic score (<xref ref-type="bibr" rid="B99">Levy et al., 2002</xref>). Moreover, GFAP immunoreactivity was positively correlated with fibrosis progression in post-transplant recurrent hepatitis C (<xref ref-type="bibr" rid="B26">Carotti et al., 2008</xref>). These clinical studies suggest GFAP as an early marker of activated HSCs. However, further studies are necessary to understand (1) whether GFAP-positive cells are precursors of activated HSCs (&#x03B1;-SMA-positive), (2) if similar GFAP expression patterns occur in liver injury with different etiologies, and (3) whether GFAP-positive cells are confined to specific areas within the liver across different stages of disease.</p>
</sec>
<sec id="S6.SS2">
<label>6.2</label>
<title>miR-455-3p</title>
<p>The small non-coding miR-455-3p has been described as a potential biomarker and therapeutic candidate for AD and liver fibrosis (<xref ref-type="bibr" rid="B79">Islam et al., 2024</xref>; <xref ref-type="bibr" rid="B188">Wei et al., 2019</xref>). MiR-455-3p is one of the two isoforms of mirR-455; its precursor sequence is transcribed from intron 10 of the human Col27a1 gene (collagen type XXVII alpha chain). However, the regulation of AD-related genes and hepatic fibrosis-related genes by miR-455-3p genes display opposite regulation patterns. Upregulation of miR455-3p has been observed in serum and postmortem cerebral cortex and hippocampus from AD patients. Although its molecular mechanism in reactive astrocytes is still not well understood, it has been reported that miR-455-3p knockout mice exhibit increased activity in astrocytes and microglia (<xref ref-type="bibr" rid="B79">Islam et al., 2024</xref>).</p>
<p>During HSCs activation, miR455-3p is significantly downregulated. Its reduction has been linked to liver fibrosis in various mouse models of liver injury such as bile duct ligation, high-fat diet, and CCl<sub>4</sub> administration (<xref ref-type="bibr" rid="B188">Wei et al., 2019</xref>). Ectopic overexpression of miR455-3p inhibits HSC activation by suppressing heat shock factor 1 (HSF1), which is involved in the Hsp47/TGF-&#x03B2;/Smad4 signaling pathway in liver tissue (<xref ref-type="bibr" rid="B188">Wei et al., 2019</xref>). Although miR455-3p has potential as a therapeutic target, further studies are needed to elucidate its specific role in astrocytes/HSCs activation across different etiologies, in order to determine its potential as a biomarker for scar formation and neuronal and hepatic regeneration.</p>
</sec>
<sec id="S6.SS3">
<label>6.3</label>
<title>miR-140</title>
<p>The axis miR-140/BDNF has been suggested as a promising target to ameliorate reactive human astrocyte proliferation after spinal cord injury (<xref ref-type="bibr" rid="B174">Tu et al., 2017</xref>). MiR-140 binds to the 3&#x2032;UTR of BDNF and inhibits its expression. Since BDNF upregulation regulates astrocyte proliferation and differentiation, ectopic expression of miR-140 restores BDNF and pro-inflammatory cytokine levels, thereby ameliorating astrogliosis after nerve fiber damage (<xref ref-type="bibr" rid="B174">Tu et al., 2017</xref>). The miR140-3p belongs to the miR-140 cluster and has been linked to liver fibrosis. Upregulation of miR-140-3p is correlated with activation of rat HSCs (HSC-T6) through silencing of the tumor suppressor, phosphatase and tensin homolog deleted on chromosome 10 (PTEN), which enhances activated HSC proliferation and reduces apoptosis via AKT/mTOR signaling pathway. Meanwhile, miR-140-3p knockdown results in downregulation of &#x03B1;-SMA and desmin levels (<xref ref-type="bibr" rid="B193">Wu et al., 2019</xref>), demonstrating the potential of miR140-3p to suppress the fibrotic role of TGF-&#x03B2;1.</p>
<p>Clinical data showed that miRNA-140 is significantly downregulated in liver tissues of patients with HCC and might stimulate metastasis and HCC progression (<xref ref-type="bibr" rid="B95">Kong et al., 2021</xref>), analog to reported in HCC mouse models (<xref ref-type="bibr" rid="B54">Ghafouri-Fard et al., 2021</xref>). The molecular mechanism has been described by <italic>in vitro</italic> studies that demonstrated miRNA-140 overexpression inhibits cell proliferation, migration and invasion in HCC through PI3K Akt signaling pathway, TGF-&#x03B2; signaling pathway, and MAPK signaling pathway (<xref ref-type="bibr" rid="B95">Kong et al., 2021</xref>; <xref ref-type="bibr" rid="B111">Lu et al., 2020</xref>). Importantly, studies in tumor xenograft mice model indicated that the downregulation of miRNA-140 leads to sorafenib resistant and poor prognosis in HCC, this chemoresistance might be regulated through the small nucleolar RNA host gene 16, this lncRNA is overexpressed and its directly interacting with miRNA-14, which targets the pregnane X receptor resulted in the modulation of downstream genes involved in drug-resistant during HCC (<xref ref-type="bibr" rid="B102">Li J. et al., 2018</xref>; <xref ref-type="bibr" rid="B204">Ye et al., 2019</xref>).</p>
<p>The prognostic role of miRNA-140 has been identified in cancerous brain tumor as well. Downregulation of miRNA-140 has been inversely associated with the cysteine protease, cathepsin B expression in glioblastoma multiforme (<xref ref-type="bibr" rid="B73">Ho et al., 2019</xref>). In this case, miRNA-140 might regulate mesenchymal transition and response to temozolomide, the first-line antineoplastic against glioblastoma multiforme via cathepsin B (<xref ref-type="bibr" rid="B73">Ho et al., 2019</xref>; <xref ref-type="bibr" rid="B131">Palizkaran Yazdi et al., 2024</xref>). Additionally, treatment with cathepsin B inhibitors such as E64D and CA074Me reduces glioma cell proliferation, reduces amyloid plaques deposition, protects against astrocytic apoptosis, rescues motor and cognitive dysfunction in animal models (<xref ref-type="bibr" rid="B29">Cawley et al., 2014</xref>; <xref ref-type="bibr" rid="B200">Xu et al., 2014</xref>). Cathepsin B is an important mediator of NLR family protein domain containing 3 inflammasome activation, which have implications in a variety of neurodegenerative diseases such as Parkinson and AD but in the progression of liver diseases by inflammatory response-mediated HSC activation and fibrogenesis (<xref ref-type="bibr" rid="B32">Charan et al., 2023</xref>).</p>
</sec>
<sec id="S6.SS4">
<label>6.4</label>
<title>miR-148a-3p</title>
<p>The miR-148a-3p has been associated with neuroprotection by the inhibition of proinflammatory factors (<xref ref-type="bibr" rid="B140">Ram&#x00ED;rez et al., 2022</xref>). <xref ref-type="bibr" rid="B137">Qian et al. (2024)</xref> demonstrated that miR-148a-3p from astrocytes-derived exosomes stimulates phenotype transition of microglia <italic>in vitro</italic> and in traumatic brain injury model in rats. The transfection of miR-148a-3p induces the polarization into the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype in pre-microglia cultures. Additionally, miR-148a-3p attenuates lipopolysaccharide-mediated inflammatory response <italic>in vitro</italic> and improves the modified neurological severity score after traumatic brain injury in rat model, this neurological restoration occurs via the inhibition of the nuclear factor k&#x00DF; pathway (<xref ref-type="bibr" rid="B137">Qian et al., 2024</xref>).</p>
<p>Similarly, the role of miR-148a-3p in HCC progression has been demonstrated in xenograft liver cancer model (<xref ref-type="bibr" rid="B212">Zhang et al., 2022</xref>). miR-148a-3p is downregulated in the transformation process from qHSCs to activate HSCs, <italic>in vitro</italic> co-cultures showed that decreased exosomal miR-148a-3p may be uptake by HCC cells leading to tumorigenesis and HCC progression, this data is correlated with the result from clinical samples that show the downregulation of miR-148a-3p in patients with primary HCC tumor (<xref ref-type="bibr" rid="B36">Cheng et al., 2017</xref>; <xref ref-type="bibr" rid="B51">Gailhouste et al., 2013</xref>; <xref ref-type="bibr" rid="B212">Zhang et al., 2022</xref>). In healthy microenvironment, miR-148a-3p displays high expression in hepatic satellite cells and HSCs, thus miR-148a-3p overloaded exosomes might be a promising approach to regulate the proliferation and invasion of tumor microenvironment via ITGA5/PI3K/Akt pathway and improve prognosis (<xref ref-type="bibr" rid="B212">Zhang et al., 2022</xref>).</p>
</sec>
<sec id="S6.SS5">
<label>6.5</label>
<title>lncRNA HOTTIP</title>
<p>As previously discussed in Section &#x201C;4 The atlas of astrocytes in nervous system diseases,&#x201D; the LncRNA HOTTIP mediates HSCs activation. Interestingly, aberrant HOTTIP down-regulation has been demonstrated in various glioma cell lines isolated from human brain tissue such as A172, U251, U-118 MG and U-87 MG (<xref ref-type="bibr" rid="B199">Xu et al., 2016</xref>). Although the specific role of HOTTIP in astrocytes has not been described, its role by regulating microglia-mediated inflammation and neuronal damage has been reported (<xref ref-type="bibr" rid="B113">Lun et al., 2022</xref>). The overexpression of HOTTIP in an intro model of PD using 1-Methyl-4-phenylpyridium showed microglial activation, exacerbating proinflammatory cytokine expression such as IL-l&#x03B2;, IL-6, IL-18, TNF-&#x03B1;, iNOS, COX2, and phosphorylated NF-&#x03BA;B. Similarly, an induced PD mouse model combined with HOTTIP knockdown confirmed the suppression of MPTP-induced NLRP3-ASC-Caspase-1 inflammasome activation and microglial activation in substantia nigra, additionally, HOTTIP knockdown rescues the dopamine content in striatal brain region and improvement in motor and cognitive function (<xref ref-type="bibr" rid="B113">Lun et al., 2022</xref>). Future studies are needed to address the possible role of HOTTIP in astroglia and its clinical significance to ameliorate another neurocognitive disease.</p>
</sec>
</sec>
<sec id="S7">
<label>7</label>
<title>Conclusion and future perspectives</title>
<p>The development of novel therapeutic agents for neuronal and hepatic diseases remains a challenge. The transcriptome, including both coding and non-coding transcripts in HCSs and astrocytes, provides a deeper understanding of the molecules involved in the activation of both cell types and their contribution to pathological stages. Preclinical trials are necessary to address challenges in the delivery system of agonists or antagonists (i.e., ectopic miRNA) to the target tissue, ensuring the stability of the molecules while minimizing innate immune response.</p>
<p>Exosomes have been suggested as novel drug delivery to target cells (<xref ref-type="bibr" rid="B137">Qian et al., 2024</xref>; <xref ref-type="bibr" rid="B212">Zhang et al., 2022</xref>), these nano extracellular vesicles secreted by qHSCs and healthy astrocytes containing specific bioactive molecules might recover the physiological neuro and liver microenvironment acting as anti-inflammatory and tumor-suppressor molecules. The use of three-dimensional organ-like architecture, called &#x201C;organoid culture&#x201D; is an innovative approach to face the challenge of study the molecular mechanism in the crosstalk between the brain-liver axis (<xref ref-type="bibr" rid="B106">Liu et al., 2024</xref>) and validate the role of circulating biomolecules (i.e., exosomes) in both systems. For example, differentiation of induced pluripotent and embryonic stem cells to develop brain organoids expressing both excitatory and inhibitory neurons and all the glial cell types, microglia, oligodendrocytes and astrocytes represent a potential tool to understand the glial microenvironment not only in the human brain development but in neurological disease (<xref ref-type="bibr" rid="B2">Agarwal et al., 2021</xref>; <xref ref-type="bibr" rid="B72">Heydari et al., 2021</xref>). Organoid model generated from co-cultures of human induced pluripotent stem cells-derived hepatocytes, mesenchymal stem cells from mouse or human, and human umbilical vein endothelial cells have been developed to study various liver diseases such as non-alcoholic liver disease, fibrosis or chronic viral hepatitis (<xref ref-type="bibr" rid="B72">Heydari et al., 2021</xref>). However, the development of brain-liver axis models results in a complex system that might consider the neuronal, endocrine and immunological communication between both systems. For example, an engineered model of gut-liver-brain axis has been used to study the interaction between these systems in PD (<xref ref-type="bibr" rid="B172">Trapecar et al., 2021</xref>). The microphysiological systems are linked sharing a common culture media containing circulating cells in a continues coculture to emulate a colon mucosal barrier incorporating innate immune cells where the microbiome adsorption and metabolize occurs resulting in the production and release of signaling biomolecules, which are transported to the liver through the portal circulation to reach the hepatocytes, the microbiome can influence the Kupffer cells in the liver, all the inflammatory mediators soluble biomolecules and metabolites are transport to the brain through systemic circulation to finally reach the migration of adaptative immune CD4<sup>++</sup> T cells via systemic circulation between the three systems (<xref ref-type="bibr" rid="B172">Trapecar et al., 2021</xref>). An organoid model of the brain-liver axis might help to face the limitations of the current <italic>in vitro</italic> and animal models to study the communication between both systems. For instance, the liver innervation displays differences across species, nerves fibers are in contact directly with hepatocytes in human, monkey and rabbit but not in rat (<xref ref-type="bibr" rid="B120">Miller et al., 2021</xref>). Moreover, it has been reported brain-region differences in the electrophysiological properties of astrocytes, their calcium dynamics and gap junction coupling; this physiological heterogeneity must be considered in future models (<xref ref-type="bibr" rid="B213">Zhang and Barres, 2010</xref>). However, taken together, the intercommunication within the brain-liver axis suggests that combination therapy could be a promising approach for tissue repair in neuronal and hepatic conditions.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AJ-T: Writing &#x2013; original draft, Visualization, Conceptualization, Validation, Writing &#x2013; review &#x0026; editing. AO: Writing &#x2013; original draft, Visualization, Validation, Writing &#x2013; review &#x0026; editing, Conceptualization, Supervision. MN: Writing &#x2013; original draft, Visualization, Conceptualization, Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author(s) MN and AO declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="S11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/72403/overview">Olfa Masmoudi-Kouki</ext-link>, University of Tunis El Manar, Tunisia</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2269585/overview">Taylor Kelty</ext-link>, University of Missouri, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3264571/overview">Cong Wang</ext-link>, Fudan University, China</p></fn>
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