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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1506049</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1506049</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pharmacological inhibition of receptor protein tyrosine phosphatase &#x3b2;/&#x3b6; decreases A&#x3b2; plaques and neuroinflammation in the hippocampus of APP/PS1 mice</article-title>
<alt-title alt-title-type="left-running-head">Font&#xe1;n-Baselga et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1506049">10.3389/fphar.2024.1506049</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Font&#xe1;n-Baselga</surname>
<given-names>Teresa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ca&#xf1;eque-Rufo</surname>
<given-names>H&#xe9;ctor</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Rivera-Illades</surname>
<given-names>Elisa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Gramage</surname>
<given-names>Esther</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zapico</surname>
<given-names>Jos&#xe9; Mar&#xed;a</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>de Pascual-Teresa</surname>
<given-names>Beatriz</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Ramos-&#xc1;lvarez</surname>
<given-names>Mar&#xed;a Del Pilar</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Herrad&#xf3;n</surname>
<given-names>Gonzalo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Vicente-Rodr&#xed;guez</surname>
<given-names>Marta</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Health and Pharmaceutical Sciences</institution>, <institution>Faculty of Pharmacy</institution>, <institution>Universidad San Pablo-CEU</institution>, <institution>CEU Universities</institution>, <institution>Urbanizaci&#xf3;n Montepr&#xed;ncipe</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Chemistry and Biochemistry</institution>, <institution>Faculty of Pharmacy</institution>, <institution>Universidad San Pablo-CEU</institution>, <institution>CEU Universities</institution>, <institution>Urbanizaci&#xf3;n Montepr&#xed;ncipe</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/384078/overview">Harry Pantazopoulos</ext-link>, University of Mississippi Medical Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/35260/overview">Andreas Faissner</ext-link>, Ruhr-University, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/9973/overview">Katherine Conant</ext-link>, Georgetown University Medical Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2253946/overview">Matthew Amontree</ext-link>, Georgetown University, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Marta Vicente-Rodr&#xed;guez, <email>marta.vicenterodriguez@ceu.es</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1506049</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Font&#xe1;n-Baselga, Ca&#xf1;eque-Rufo, Rivera-Illades, Gramage, Zapico, de Pascual-Teresa, Ramos-&#xc1;lvarez, Herrad&#xf3;n and Vicente-Rodr&#xed;guez.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Font&#xe1;n-Baselga, Ca&#xf1;eque-Rufo, Rivera-Illades, Gramage, Zapico, de Pascual-Teresa, Ramos-&#xc1;lvarez, Herrad&#xf3;n and Vicente-Rodr&#xed;guez</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>Alzheimer&#x2019;s disease (AD) is a major neurodegenerative disorder that courses with chronic neuroinflammation. Pleiotrophin (PTN) is an endogenous inhibitor of Receptor Protein Tyrosine Phosphatase (RPTP) &#x3b2;/&#x3b6; which is upregulated in different neuroinflammatory disorders of diverse origin, including AD. To investigate the role of RPTP&#x3b2;/&#x3b6; in neuroinflammation and neurodegeneration, we used eight-to ten-month-old APP/PS1 AD mouse model. They were administered intragastrically with MY10, an inhibitor of RPTP&#x3b2;/&#x3b6;, at different doses (60 and 90&#xa0;mg/kg) every day for 14&#xa0;days. Treatment with 90&#xa0;mg/kg MY10 significantly reduced the number and size of amyloid beta (A&#x3b2;) plaques in the dorsal subiculum of the hippocampus of APP/PS1 mice. In addition, we observed a significant decrease in the number and size of astrocytes in both sexes and in the number of microglial cells in a sex-dependent manner. This suggests that RPTP&#x3b2;/&#x3b6; plays an important role in modulating A&#x3b2; plaque formation and influences glial responses, which may contribute to improved A&#x3b2; clearance. In addition, MY10 treatment decreased the interaction of glial cells with A&#x3b2; plaques in the hippocampus of APP/PS1 mice. Furthermore, the analysis of proinflammatory markers in the hippocampus revealed that MY10 treatment decreased the mRNA levels of <italic>Tnfa</italic> and <italic>Hmgb1</italic>. Notably, treatment with MY10 increased <italic>Bace1</italic> mRNA expression, which could be involved in enhancing A&#x3b2; degradation, and it decreased <italic>Mmp9</italic> levels, which might reflect changes in the neuroinflammatory environment and impact A&#x3b2; plaque dynamics. These results support the therapeutic potential of inhibition of RPTP&#x3b2;/&#x3b6; in modulating A&#x3b2; pathology and neuroinflammation in AD.</p>
</abstract>
<kwd-group>
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>RPTP &#x3b2;/&#x3b6;</kwd>
<kwd>MY10</kwd>
<kwd>pleiotrophin</kwd>
<kwd>neuroinflammation</kwd>
<kwd>neurodegeneration</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neuropharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Alzheimer&#x2019;s disease (AD) is one of the most prevalent neurodegenerative diseases worldwide. It is currently estimated to affect more than 44 million people, which is expected to double by 2050 (<xref ref-type="bibr" rid="B15">Dumurgier and Sabia, 2020</xref>). This condition is characterized by the presence of two histopathological hallmarks in the central nervous system (CNS), senile plaques, protein aggregates of amyloid beta (A&#x3b2;) peptide and neurofibrillary tangles (NFT), aggregates of hyperphosphorylated tau protein, leading to cognitive impairment and dementia (<xref ref-type="bibr" rid="B64">Zhao and Huai, 2023</xref>). In the last years, these two features of the disease have been the main therapeutic targets for AD drug development. However, there is still no cure for the disease, so further studies of the different mechanisms involved in the disease are needed.</p>
<p>The dorsal subiculum is one of the earliest regions affected in AD (<xref ref-type="bibr" rid="B61">Ye et al., 2024</xref>). It is crucial for learning and memory processes in rodents, as it serves as the main pathway for information leaving the CA1 region of hippocampus (<xref ref-type="bibr" rid="B39">O&#x27;Mara and Aggleton, 2019</xref>; <xref ref-type="bibr" rid="B20">Frost et al., 2021</xref>) and is a key structure within the hippocampal formation, playing an important role in spatial representation and navigation information processing (<xref ref-type="bibr" rid="B12">de Melo et al., 2023</xref>). This early involvement of the dorsal subiculum in AD suggests that it may be particularly vulnerable to the harmful effects of chronic neuroinflammation, which plays a significant role in disease progression.</p>
<p>Chronic neuroinflammation is a common feature of numerous neurodegenerative diseases, such as AD, Parkinson&#xb4;s disease (PD) or multiple sclerosis (<xref ref-type="bibr" rid="B23">Glass et al., 2010</xref>). However, despite existing evidence of the importance of neuroinflammation, there is still a lot of controversy regarding its role and relevance in AD (<xref ref-type="bibr" rid="B6">Calsolaro and Edison, 2016</xref>; <xref ref-type="bibr" rid="B27">Heneka et al., 2015</xref>). The CNS immune response detects the abnormal protein aggregation as harmful, leading to astrogliosis around senile plaques and morphological microglial changes leading to the secretion of pro-inflammatory cytokines (<xref ref-type="bibr" rid="B4">Boche and Nicoll, 2008</xref>). Normally, once the damage has ceased, glial cells would stop the inflammatory response and return to the basal state. Nevertheless, in the event of persistent damage, glial cells are activated long-term, leading to uncontrolled neuroinflammation that can lead to neuronal dysfunction and cell death, promoting the progression of the disease (<xref ref-type="bibr" rid="B9">Carriba and Comella, 2015</xref>). All in all, compounds that can modulate neuroinflammation and neuroimmune responses in the CNS, could be a potential therapeutic target for AD (<xref ref-type="bibr" rid="B63">Yu et al., 2021</xref>).</p>
<p>Pleiotrophin (PTN) is an important cytokine for CNS repair, neuronal survival, and differentiation (<xref ref-type="bibr" rid="B29">Herrad&#xf3;n and P&#xe9;rez-Garc&#xed;a, 2014</xref>). It is widely expressed during development, while its pattern of expression in adults is restricted to a few cell types in different organs, including the brain, where it is mainly expressed in neurons in healthy murine models (<xref ref-type="bibr" rid="B13">Deuel et al., 2002</xref>; <xref ref-type="bibr" rid="B30">Herradon et al., 2019</xref>; <xref ref-type="bibr" rid="B53">Silos-Santiago et al., 1996</xref>; <xref ref-type="bibr" rid="B57">Vanderwinden et al., 1992</xref>) being its highest expression in the CNS during embryonic and neonatal periods (<xref ref-type="bibr" rid="B60">Wang, 2020</xref>). However, after an injury or noxious stimulus, its expression increases in different cells including microglia and macrophages (<xref ref-type="bibr" rid="B37">Martin et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Jin et al., 2009</xref>; <xref ref-type="bibr" rid="B38">Muramatsu, 2011</xref>; <xref ref-type="bibr" rid="B24">Gonz&#xe1;lez-Castillo et al., 2014</xref>). PTN is overexpressed in different brain areas in situations with inflammatory component, as in brain damage due to ischemia, in neuropathic pain, after administration of different drugs of abuse such as amphetamine, alcohol and opioids, even in neurodegenerative processes, in senile plaques in the brain of patients with AD and in the substantia nigra of patients with PD (<xref ref-type="bibr" rid="B29">Herrad&#xf3;n and P&#xe9;rez-Garc&#xed;a, 2014</xref>; <xref ref-type="bibr" rid="B2">Alguacil and Herrad&#xf3;n, 2015</xref>), suggesting a modulatory role of PTN in these processes. PTN is a potent modulator of neuroinflammation in different contexts (<xref ref-type="bibr" rid="B30">Herradon et al., 2019</xref>; <xref ref-type="bibr" rid="B18">Fern&#xe1;ndez-Calle et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Vicente-Rodr&#xed;guez et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Rodr&#xed;guez-Zapata et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Rodr&#xed;guez-Zapata et al., 2023</xref>) and binds to different receptors in many organs, being Receptor Protein Tyrosine Phosphatase &#x3b2;/&#x3b6; (RPTP&#x3b2;/&#x3b6;) mainly expressed in the adult CNS in neurons and glial cells (<xref ref-type="bibr" rid="B8">Canoll et al., 1996</xref>; <xref ref-type="bibr" rid="B52">Shintani et al., 1998</xref>; <xref ref-type="bibr" rid="B32">Lafont et al., 2009</xref>). RPTP&#x3b2;/&#x3b6; is important for neuronal and microglial viability (<xref ref-type="bibr" rid="B11">Del Campo et al., 2021</xref>), and it is the most relevant in modulating neuroinflammation (<xref ref-type="bibr" rid="B30">Herradon et al., 2019</xref>). Pleiotrophin binds to the extracellular domain of RPTP&#x3b2;/&#x3b6; (<xref ref-type="bibr" rid="B36">Maeda et al., 1996</xref>; <xref ref-type="bibr" rid="B35">Maeda et al., 1999</xref>), inactivating its phosphatase activity and therefore increasing the phosphorylation levels of its substrates, such as TrkA (<xref ref-type="bibr" rid="B51">Shintani and Noda, 2008</xref>) and Fyn kinase (<xref ref-type="bibr" rid="B41">Pariser et al., 2005</xref>; <xref ref-type="bibr" rid="B40">Panicker et al., 2015</xref>), both with known roles in neuroinflammation.</p>
<p>To further characterize the functions of RPTP&#x3b2;/&#x3b6;, we designed and synthesized MY10, a selective inhibitor of RPTP&#x3b2;/&#x3b6; permeable to the blood-brain barrier (BBB). MY10 interacts with the intracellular domain PD1 of RPTP&#x3b2;/&#x3b6;, and it inactivates its tyrosine phosphatase activity, simulating the inhibitory action of PTN on this receptor (<xref ref-type="bibr" rid="B43">Pastor et al., 2018</xref>).</p>
<p>Based on these considerations, we aim to demonstrate that RPTP&#x3b2;/&#x3b6; modulates neuroinflammation and neurodegeneration, using the selective inhibitor of RPTP&#x3b2;/&#x3b6;, MY10, in a mouse model of AD.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Animals</title>
<p>Heterozygous APPswe/PS1De9 (APP/PS1) double-transgenic female and male mice with a C57BL/6 background were used in the present study. The mice were divided randomly and housed in a specific pathogen-free room at 22&#xb0;C &#xb1; 1&#xb0;C with 12&#xa0;h light/dark cycles, with free access to water and food. All the animals were handled and maintained in accordance with the European Union Laboratory Animal Care Rules (2010/63/EU directive) and protocols were approved by the Animal Research Committee of CEU San Pablo University and by Comunidad de Madrid (PROEX 140.3/22).</p>
</sec>
<sec id="s2-2">
<title>2.2 Treatment</title>
<p>The selective inhibitor of RPTP&#x3b2;/&#x3b6; (MY10) was synthesized as previously described (<xref ref-type="bibr" rid="B43">Pastor et al., 2018</xref>). Eight-to ten-months-old APP/PS1 mice were administered with MY10 (at doses of 60 or 90&#xa0;mg/kg) or its vehicle (VEH; 10% dehydrated ethanol, 20% polysorbate 80, 70% PEG- 300) as a control. The treatment was carried out daily for 14 days by oral gavage.</p>
</sec>
<sec id="s2-3">
<title>2.3 Tissue collection</title>
<p>After 14&#xa0;days of treatment, animals were sacrificed on day 15 (n &#x3d; 4&#x2013;9/group) by decapitation under CO2 exposure. The brains were removed and divided in two hemispheres. The right hemispheres were post-fixed in paraformaldehyde (PFA) 4% for 48&#xa0;h and then incubated in sucrose 30% for immunofluorescence. The left hemispheres were freshly collected and conserved at &#x2212;80&#xb0;C.</p>
</sec>
<sec id="s2-4">
<title>2.4 Immunofluorescence</title>
<p>Fixed brain hemispheres from vehicle- and MY10-treated APP/PS1 mice (60&#xa0;mg/kg and 90&#xa0;mg/kg) (n &#x3d; 4&#x2013;9 group) were coronally cut at 30&#xa0;&#x3bc;m thickness using a sliding microtome (Leica SM2010 R). Immunohistochemistry studies were performed on the dorsal subiculum of the hippocampus of each animal (Bregma &#x2212;2.69&#xa0;mm to &#x2212;3.87&#xa0;mm).</p>
<p>Triple immunofluorescence of A&#x3b2; (A&#x3b2;; Abcam, Cambridge, UK; Ab201060; 1:1,000), PTN (PTN; Santa Cruz Biotechnology, Texas, United States; sc-74443; 1:50) together with Iba1 a marker for microglia and macrophages (Iba1; Abcam, Cambridge, United Kingdom; Ab5076; 1:1,000); or GFAP for astrocytes (GFAP; Thermo Fisher Scientific, Massachusetts, United States; PA110004; 1:1,000), or NeuN for neurons (NeuN; Synaptic Systems, Gottingen, Germany; SYSY266006; 1:200) were performed to determine brain A&#x3b2; formation, PTN expression and glial responses.</p>
<p>Free floating sections were washed three times with PBS and three times with PBS-2% Triton X-100. After washes, sections were blocked with 5% Bovine serum albumin (BSA) in PBS-Triton X-100 for 40&#xa0;min. After rinses with PBS, sections were incubated overnight at 4&#xb0;C with a mix of primary antibodies (see <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). After washes with PBS, sections were incubated for 2&#xa0;h with the appropriate Alexa-conjugated secondary antibodies (see <xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Subsequently, the sections were counterstained with 4&#x2032;,6-diamidino-2-phenylindole (DAPI) and mounted with Fluoromont<sup>&#xae;</sup> mounting medium (Thermo Fisher Scientific; Massachusetts, United States; 00&#x2013;4958&#x2013;02).</p>
<p>Imaging was performed using a Leica DMI8 fluorescence confocal microscope. For relative quantification of immunofluorescence, one 380&#xa0;&#x3bc;m &#xd7; 380&#xa0;&#xb5;m photomicrograph containing series of &#x223c;0.4&#xa0;&#xb5;m deep Z stacks, corresponding to &#x223c;12 optical sections at 63X fields from the three fluorescence channels were captured from a dorsal subiculum area of the hippocampus (Bregma &#x2212;2.69&#xa0;mm to &#x2212;3.87&#xa0;mm) per animal (refraction index, 1.518). Construct composite images from each optical series by combining the images recorded through the different channels were obtained (image resolution: 512 &#xd7; 512 pixels). The images were captured using the LAS &#xd7; Core software (Leica Microsystems, Wetzlar, Germany; offline version).</p>
</sec>
<sec id="s2-5">
<title>2.5 Image analysis</title>
<p>For each photomicrograph, the total number of (i) A&#x3b2; count and A&#x3b2; % Area, (ii) GFAP &#x2b; cells and GFAP % Area (for astrocytes), (iii) Iba1&#x2b; cells (microglia/macrophages), (iv) NeuN &#x2b; cells (neurons), (v) GFAP &#x2b; cells surrounding A&#x3b2; plaques, (vi) Iba1&#x2b; cells surrounding A&#x3b2; plaques and (vii) NeuN &#x2b; cells surrounding A&#x3b2; plaques (viii) PTN % Area, (ix) GFAP&#x2b;/PTN &#x2b; cells (astrocytic cells expressing PTN), (x) Iba1&#x2b;/PTN &#x2b; cells (microglial/macrophages cells expressing PTN), (xi) NeuN&#x2b;/PTN &#x2b; cells (neuronal cells expressing PTN) were counted using ImageJ/Fiji software with the &#x201c;Analyze Particle&#x201d; function and colocalization analysis was performed by manual counting, with DAPI-stained nuclei as counterstain on a single brain slice from the subiculum of each animal, except from the quantification of PTN % Area, in which three slices from the three different immunofluorescences were analysed. For the A&#x3b2; plaques analysis, the ImageJ/Fiji threshold &#x201c;Triangle&#x201d; was used, followed by a removal of outliers. Finally, the &#x201c;Analyze particle&#x201d; function was used to obtain A&#x3b2; count and A&#x3b2; % Area. Each point in the graph represents the measurement in one brain slice.</p>
<p>ImageJ/Fiji software (NIH, Bethesda, MD, United States, Version 1.50 f) was used for the analysis of the subiculum of every subject. Images were escalated and converted into 8-bit grayscale. A threshold was adjusted for each cell type to reduce background noise.</p>
</sec>
<sec id="s2-6">
<title>2.6 Quantitative real-time PCR</title>
<p>The remaining hemispheres from vehicle-and MY10-treated APP/PS1 mice (60&#xa0;mg/kg and 90&#xa0;mg/kg) (n &#x3d; 4&#x2013;9 group) were dissected with the Mouse Brain matrix (Agnthos, Sweeden, 69&#x2013;2165-1) in order to obtain the hippocampus. RNA isolation, First-strand cDNA synthesis and quantitative real-time PCR (qPCR) analysis were performed as previously described (<xref ref-type="bibr" rid="B7">Ca&#xf1;eque-Rufo et al., 2023</xref>). Briefly, RNA from the hippocampus was isolated using the Total RNA Isolation Kit (Nzytech, Lisbon, Portugal). First-strand cDNA was synthesized using the first-strand cDNA Synthesis Kit (Nzytech), and 1&#xa0;&#x3bc;g of RNA were reverse-transcribed to DNA. qPCR analysis was performed using the SYBR green method (Quantimix Easy kit, Biotools, Madrid, Spain) in a CFX Opus 96 Real-Time System (Bio-Rad, Hercules, CA, United States). The relative expression of each gene was normalized using <italic>Rpl13</italic> and <italic>Hprt</italic> as housekeeping genes, and the data were analyzed by the Livak method. The primer sequences used, experimental conditions and additional information are shown in <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>.</p>
</sec>
<sec id="s2-7">
<title>2.7 Statistical analysis</title>
<p>Statistical analyses were performed using Graph-Pad Prism program version 8 (San Diego, CA, United States). The Shapiro-Wilk test was used for the normalities of the sample distribution. Data were analysed using a two-way ANOVA with treatment and sex as variables. When relevant, to better dissect the effect of each variable, we used a one-way ANOVA, excluding the non-significant variable if the two-way ANOVA results allowed it. Significant differences were analyzed by a Bonferroni&#x2019;s Post-hoc only when the interaction between the variables were significant in the case of two-way ANOVA and always in the case of one-way ANOVA. Data are presented as mean &#xb1; standard error of the mean (S.E.M.).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Inhibition of RPTP&#x3b2;/&#x3b6; reduces A&#x3b2; plaques formation and glial responses in APP/PS1 mice</title>
<p>First, in immunohistochemistry studies, we analyzed the effects of treatment with MY10 on A&#x3b2; plaques and glial responses in male and female APP/PS1 mice (<xref ref-type="fig" rid="F1">Figure 1</xref>). Two-way ANOVA revealed a significant effect of the treatment on A&#x3b2; count (F (2, 32) &#x3d; 4.347; <italic>p</italic> &#x3d; 0.0214) and A&#x3b2; % Area (F (2, 32) &#x3d; 4.390; <italic>p</italic> &#x3d; 0.0207). However, we did not observe a significant effect of sex or a significant interaction between variables. Thus, to better analyze the effect of treatment, we performed a one-way ANOVA excluding the sex variable. We detected significant differences in A&#x3b2; count (<xref ref-type="fig" rid="F1">Figure 1A</xref>; F (2, 35) &#x3d; 4.977; <italic>p</italic> &#x3d; 0.0125) and A&#x3b2; % Area (<xref ref-type="fig" rid="F1">Figure 1B</xref>; F (2, 35) &#x3d; 4.995; <italic>p</italic> &#x3d; 0.0124). Post hoc analysis revealed that treatment with 90&#xa0;mg/kg MY10 significantly reduced A&#x3b2; compared to vehicle-treated APP/PS1 mice (<xref ref-type="fig" rid="F1">Figures 1A, B</xref>). Two-way ANOVA revealed a significant effect of the treatment on the number of GFAP &#x2b; cells (<xref ref-type="fig" rid="F1">Figure 1C</xref>; F (2, 33) &#x3d; 14.75; <italic>p</italic> &#x3c;0.0001) and GFAP % Area (<xref ref-type="fig" rid="F1">Figure 1D</xref>; F (2, 32) &#x3d; 15.53; <italic>p</italic> &#x3c;0.0001). Again, we did not observe a significant effect of sex or a significant interaction between variables. One-way ANOVA excluding sex variable revealed significant differences in the number of GFAP &#x2b; cells (<xref ref-type="fig" rid="F1">Figure 1C</xref>; F (2, 36) &#x3d; 15.31; P&#x3c;0.0001) and in the GFAP % Area (<xref ref-type="fig" rid="F1">Figure 1D</xref>; F (2, 35) &#x3d; 15.98; <italic>p</italic> &#x3c;0.0001). Post hoc analysis revealed that treatment with 90&#xa0;mg/kg MY10 significantly decreased the number of GFAP &#x2b; cells and GFAP % Area compared to vehicle-treated and 60&#xa0;mg/kg MY10-treated APP/PS1 mice. Regarding the number of Iba1&#x2b; cells, two-way ANOVA revealed a significant effect of the treatment (<xref ref-type="fig" rid="F1">Figure 1 E</xref>; F (2, 33) &#x3d; 6.652; <italic>p</italic> &#x3d; 0.0037) and a significant interaction between sex and treatment (<xref ref-type="fig" rid="F1">Figure 1 E</xref>; F (2, 33) &#x3d; 4.171; <italic>p</italic> &#x3d; 0.0243). Post hoc analysis showed that treatment with 90&#xa0;mg/kg MY10 decreased the number of Iba1&#x2b; cells compared to 60&#xa0;mg/kg MY10 in males and compared to the vehicle-treated female APP/PS1 mice. In contrast, in the two-way ANOVA of NeuN &#x2b; cells, there was a significant effect in the sex (<xref ref-type="fig" rid="F1">Figure 1 F</xref>; F (1,33) &#x3d; 4.561; <italic>p</italic> &#x3d; 0.0402) but no significant differences were observed in the treatment nor in the interaction.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>MY10 treatment effects on A&#x3b2; plaques, astrocytes (GFAP), microglia (Iba1) and neurons (NeuN). Representative confocal photomicrographs showing A&#x3b2; (green), GFAP (green), Iba1 (red) and NeuN (green) fluorescence from dorsal subiculum of the different experimental groups. Quantification of the number of A&#x3b2; plaques <bold>(A)</bold>, A&#x3b2; % Area <bold>(B)</bold>, number of GFAP &#x2b; cells <bold>(C)</bold>, GFAP % Area <bold>(D)</bold>, number of Iba1&#x2b; cells <bold>(E)</bold>, number of NeuN &#x2b; cells <bold>(F)</bold> per subiculum of APP/PS1 male and female mice treated with Vehicle (VEH), MY10 60&#xa0;mg/kg or MY10 90&#xa0;mg/kg. Data are presented as mean &#xb1; SEM (n &#x3d; 4&#x2013;9 APP/PS1 mice/treatment). Each point represents the measurement in one brain slice. &#x2a;P&#x3c;0.05; &#x2a;&#x2a;<italic>p</italic> &#x3c;0.01; &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c;0.0001 vs. VEH. &#x23;<italic>p</italic> &#x3c;0.05; &#x23;&#x23;&#x23;&#x23;<italic>p</italic> &#x3c;0.0001 vs. MY10 60&#xa0;mg/kg. White scale bar 100&#xa0;&#xb5;m. Yellow scale bar 50&#xa0;&#xb5;m.</p>
</caption>
<graphic xlink:href="fphar-15-1506049-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Inhibition of RPTP&#x3b2;/&#x3b6; reduces the interaction of glial cells with A&#x3b2; plaques and decreases PTN expression in APP/PS1 mice</title>
<p>To study the effect of RPTP&#x3b2;/&#x3b6; inhibition on the interaction of glial cells and neurons with A&#x3b2; plaques and on PTN expression in astrocytes, microglia and neurons, colocalization analyses were performed (<xref ref-type="fig" rid="F2">Figure 2</xref>). Two-way ANOVA revealed a significant effect of the treatment on the number of GFAP &#x2b; cells surrounding A&#x3b2; plaques (<xref ref-type="fig" rid="F2">Figure 2A</xref>; F (2, 33) &#x3d; 4.020; <italic>p</italic> &#x3d; 0.0274); however, we did not detect significant sex differences. One-way ANOVA excluding sex factor revealed a significant effect of the treatment on the number of GFAP &#x2b; cells surrounding A&#x3b2; plaques (<xref ref-type="fig" rid="F2">Figure 2A</xref>; F (2, 36) &#x3d; 4.353; <italic>p</italic> &#x3d; 0.0203). Treatment with 90&#xa0;mg/kg MY10 significantly reduced the number of GFAP &#x2b; cells surrounding A&#x3b2; plaques compared to vehicle- and 60&#xa0;mg/kg MY10-treated APP/PS1 mice. Lastly, two-way ANOVA revealed a significant effect of the treatment on the number of Iba1&#x2b; cells surrounding A&#x3b2; plaques (<xref ref-type="fig" rid="F2">Figure 2B</xref>; F (2, 33) &#x3d; 4.447; <italic>p</italic> &#x3d; 0.0195), but no significant differences were observed between sexes. One-way ANOVA excluding the sex variable revealed a significant effect of the treatment in Iba1&#x2b; cells surrounding A&#x3b2; plaques (<xref ref-type="fig" rid="F2">Figure 2B</xref>; F (2, 36) &#x3d; 5.171; <italic>p</italic> &#x3d; 0.0106). Treatment with 90&#xa0;mg/kg MY10 significantly reduced Iba1&#x2b; cells surrounding A&#x3b2; plaques compared to vehicle-treated mice. Finally, two-way ANOVA revealed significant differences in NeuN &#x2b; cells surrounding A&#x3b2; plaques in the interaction between sex and treatment (<xref ref-type="fig" rid="F2">Figure 2C</xref>; F (2,30 &#x3d; 3.614; <italic>p</italic> &#x3d; 0.0393), but there were no significant differences in the post-hoc analysis.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Effects of MY10 treatment on the colocalization of pleiotrophin (PTN) and A&#x3b2; plaques with astrocytes (GFAP), microglia (Iba1) and neurons (NeuN). Representative confocal photomicrographs showing A&#x3b2;, PTN, GFAP, Iba1 and NeuN fluorescence from the dorsal subiculum of the different experimental groups. Quantification of the number of GFAP &#x2b; cells surrounding A&#x3b2; plaques <bold>(A)</bold>, number of Iba1&#x2b; cells surrounding A&#x3b2; plaques <bold>(B)</bold>, number of NeuN &#x2b; cells surrounding A&#x3b2; plaques <bold>(C)</bold>, % area PTN &#x2b; cells <bold>(D)</bold>, number of GFAP&#x2b;/PTN &#x2b; cells <bold>(E)</bold> number of Iba1&#x2b;/PTN &#x2b; cells <bold>(F)</bold>, number of NeuN&#x2b;/PTN &#x2b; cells <bold>(G)</bold>, number of PTN &#x2b; cells in Iba1&#x2b;, GFAP&#x2b; and NeuN &#x2b; cells <bold>(H)</bold> per subiculum of APP/PS1 male and female mice treated with Vehicle (VEH), MY10 60&#xa0;mg/kg or MY10 90&#xa0;mg/kg. Data are presented as mean &#xb1; SEM (n &#x3d; 4&#x2013;9 APP/PS1 mice/treatment). Each point represents the measurement in one brain slice. &#x2a;P&#x3c;0.05; &#x2a;&#x2a;<italic>p</italic> &#x3c;0.01 vs. VEH. &#x23;P&#x3c;0.05; &#x23;&#x23;<italic>p</italic> &#x3c;0.01 vs. MY10 60&#xa0;mg/kg. White scale bar 25&#xa0;&#xb5;m.</p>
</caption>
<graphic xlink:href="fphar-15-1506049-g002.tif"/>
</fig>
<p>On the other hand, two-way ANOVA revealed a significant effect of the treatment with MY10 on PTN (<xref ref-type="fig" rid="F2">Figure 2D</xref>; F (2, 31) &#x3d; 4.884; <italic>p</italic> &#x3d; 0.0143). However, we did not observe a significant effect of sex or a significant interaction between variables. Thus, to better analyze the effect of treatment, we performed a one-way ANOVA excluding the sex variable. We detected a significant effect of the treatment on PTN (<xref ref-type="fig" rid="F2">Figure 2D</xref>; F (2, 109) &#x3d; 5.459; <italic>p</italic> &#x3d; 0.0055), showing a significant reduction in APP/PS1 mice treated with 90&#xa0;mg/kg MY10 compared to vehicle- and 60&#xa0;mg/kg MY10-treated APP/PS1 mice. We did not observe significant effects of the treatment or sex in GFAP&#x2b;/PTN &#x2b; cells (<xref ref-type="fig" rid="F2">Figure 2E</xref>). However, treatment with 90&#xa0;mg/kg MY10 tended to decrease the number of Iba1&#x2b;/PTN &#x2b; cells in APP/PS1 mice compared to those treated with vehicle (<xref ref-type="fig" rid="F2">Figure 2F</xref>). In addition, we observed that PTN is not expressed in neurons in APP/PS1 mice, (<xref ref-type="fig" rid="F2">Figure 2G</xref>). Interestingly, we observed that the number of GFAP &#x2b; cells expressing PTN was higher than the number of Iba1&#x2b; cells expressing PTN in APP/PS1 mice (<xref ref-type="fig" rid="F2">Figure 2H</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Effects of the inhibition of RPTP&#x3b2;/&#x3b6; on the levels of neuroinflammatory markers in the hippocampus of APP/PS1 mice</title>
<p>We next analyzed the gene expression of neuroinflammatory markers in the hippocampus of mice across all experimental groups. Treatment with MY10 did not affect the mRNA levels of <italic>Il6</italic>, <italic>Il1b</italic>, <italic>Ptgs2</italic> or <italic>Cd68</italic> (<xref ref-type="fig" rid="F3">Figures 3A, B, D, E</xref>). On the other hand, two-way ANOVA revealed a significant effect of the treatment on <italic>Tnfa</italic> mRNA levels (<xref ref-type="fig" rid="F3">Figure 3C</xref>; F (2, 34) &#x3d; 8.752; <italic>p</italic> &#x3d; 0.0009), but we did not detect differences between sexes. The subsequent one-way ANOVA excluding sex variable confirmed the significant effect of treatment on the levels of <italic>Tnfa</italic> (<xref ref-type="fig" rid="F3">Figure 3C</xref>; F (2, 37) &#x3d; 8.555; <italic>p</italic> &#x3d; 0.0009). We found a significant dose-dependent reduction of <italic>Tnfa</italic> mRNA levels in the hippocampi of APP/PS1 mice treated with MY10. In addition, two-way ANOVA did not reveal significant effects of the treatment or the sex on <italic>Hmgb1</italic> mRNA levels (<xref ref-type="fig" rid="F3">Figure 3F</xref>). Thus, to better analyze the possible effect of treatment, we performed a one-way ANOVA excluding the sex variable. One-way ANOVA rendered a significant effect of the treatment (<xref ref-type="fig" rid="F3">Figure 3F</xref>; F (2, 38) &#x3d; 4.071; <italic>p</italic> &#x3d; 0.0250), showing a significant reduction in the levels of <italic>Hmgb1</italic> mRNA in APP/PS1 mice treated with 90&#xa0;mg/kg MY10 compared to vehicle-treated APP/PS1 mice. Taking all data together, we analyzed the pro-inflammatory gen signature (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). One-way ANOVA revealed a significant effect of the treatment (<xref ref-type="sec" rid="s12">Supplementary Figure S1B</xref>; F (2, 202) &#x3d; 10.49; <italic>p</italic> &#x3c;0.0001), showing a significant decrease of the pro-inflammatory mRNA signature in APP/PS1 mice treated with 90&#xa0;mg/kg MY10, compared to those treated with vehicle and 60&#xa0;mg/kg.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Effects of MY10 treatment on hippocampal neuroinflammatory markers. <italic>Il6</italic> (Interleukin 6) mRNA <bold>(A)</bold>, <italic>Il1b</italic> (Interleukin 1 Beta) mRNA <bold>(B)</bold>, <italic>TNFa</italic> (Tumor necrosis factor Alpha) mRNA <bold>(C)</bold>, <italic>Ptgs2</italic> (Prostaglandin-endoperoxide synthase 2) mRNA <bold>(D)</bold>, <italic>Cd68</italic> (Cluster of differentiation factor 68) mRNA <bold>(E)</bold>, <italic>Hmgb1</italic> (High mobility group-box 1) mRNA <bold>(F)</bold> levels in the hippocampus of APP/PS1 male and female mice treated with Vehicle (VEH), 60&#xa0;mg/kg MY10 or 90&#xa0;mg/kg MY10. Data are presented as mean &#xb1; SEM (n &#x3d; 4&#x2013;9 APP/PS1 mice/treatment). &#x2a;P&#x3c;0.05; &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c;0.001 vs. VEH.</p>
</caption>
<graphic xlink:href="fphar-15-1506049-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Inhibition of RPTP&#x3b2;/&#x3b6; differentially regulates the expression of genes involved in the elimination of protein aggregates in the hippocampus</title>
<p>The study of expression of genes involved in the elimination of protein aggregates showed relevant differences among experimental groups (<xref ref-type="fig" rid="F4">Figure 4</xref>). Two-way ANOVA did not reveal significant effects of the treatment or the sex on <italic>Mmp9</italic> mRNA levels (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Thus, to better analyze the effect of treatment, we performed a one-way ANOVA excluding the sex variable that revealed a significant effect of the treatment (<xref ref-type="fig" rid="F4">Figure 4A</xref>; F (2, 38) &#x3d; 3.402; <italic>p</italic> &#x3d; 0.0437). The data showed a significant decrease in <italic>Mmp9</italic> mRNA levels in APP/PS1 mice treated with 90&#xa0;mg/kg MY10 compared to control mice. On the other hand, two-way ANOVA showed a significant effect of treatment with MY10 on the mRNA levels of Beta-secretase 1 (<italic>Bace1</italic>) (<xref ref-type="fig" rid="F4">Figure 4B</xref>; F (2, 36) &#x3d; 7.553; <italic>p</italic> &#x3d; 0.0018); however, we did not detect a significant effect of sex. One-way ANOVA excluding sex factor showed a significant effect of treatment with MY10 on <italic>Bace1</italic> mRNA levels (<xref ref-type="fig" rid="F4">Figure 4B</xref>; F (2, 39) &#x3d; 8.045; <italic>p</italic> &#x3d; 0.0012), showing a significant increase in the levels of <italic>Bace1</italic> in APP/PS1 mice treated with 90&#xa0;mg/kg MY10 compared to vehicle-treated mice (<xref ref-type="fig" rid="F4">Figure 4B</xref>). Lastly, two-way ANOVA revealed a significant effect of the treatment (<xref ref-type="fig" rid="F4">Figure 4C</xref>; F (2, 35) &#x3d; 5.108; <italic>p</italic> &#x3d; 0.0113), a significant effect of sex (F (1, 35) &#x3d; 25.32; <italic>p</italic> &#x3c;0.0001) and a significant interaction between both variables (<xref ref-type="fig" rid="F4">Figure 4C</xref>; F (2, 35) &#x3d; 6.164; <italic>p</italic> &#x3d; 0.0051) on the mRNA levels of <italic>Ide</italic>. Treatment with MY10 significantly increased the levels of expression of <italic>Ide</italic> only in the hippocampi of male APP/PS1 mice (<xref ref-type="fig" rid="F4">Figure 4C</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Effects of MY10 treatment on hippocampal gene expression involved in the elimination of protein aggregates. <italic>Mmp9</italic> (Metalloprotease 9) mRNA <bold>(A)</bold>. <italic>Bace1</italic> (Beta-secretase 1) mRNA <bold>(B)</bold>. <italic>Ide</italic> (Insulin-degrading enzyme) mRNA <bold>(C)</bold> in the hippocampus of APP/PS1 male and female mice treated with Vehicle (VEH), 60&#xa0;mg/kg MY10 or 90&#xa0;mg/kg MY10. Data are presented as mean &#xb1; SEM (n &#x3d; 4-9 APP/PS1 mice/treatment). &#x2a;<italic>p</italic> &#x3c;0.05; &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c;0.001 vs. VEH.</p>
</caption>
<graphic xlink:href="fphar-15-1506049-g004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Alzheimer&#x2019;s disease is a major public health concern worldwide. Every year, there are almost 10 million new cases, and there is still no cure (<xref ref-type="bibr" rid="B42">Passeri et al., 2022</xref>). There is an urgent need to find new therapeutic targets for this disease. Recent studies point out that modulating neuroinflammation seems to represent a valuable therapeutic approach. Therefore, compounds that modulate the immune response in the CNS may have therapeutic potential in AD. In this context, we previously demonstrated that the PTN/RPTP&#x3b2;/&#x3b6; axis regulates glial responses and neuroinflammation induced by different stimuli (<xref ref-type="bibr" rid="B30">Herradon et al., 2019</xref>; <xref ref-type="bibr" rid="B18">Fern&#xe1;ndez-Calle et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Vicente-Rodr&#xed;guez et al., 2016</xref>). In the present work, we aimed to test the impact of RPTP&#x3b2;/&#x3b6; inhibition with MY10 on neuroinflammation and neurodegeneration in AD, using the APP/PS1 animal model. Our findings reveal, for the first time, that treatment with MY10 significantly reduced the number and size of A&#x3b2; plaques in the dorsal subiculum of the hippocampus of APP/PS1 mice, suggesting that RPTP&#x3b2;/&#x3b6; plays an important role modulating A&#x3b2; plaques formation in the hippocampus. The CNS immune response detects the abnormal protein aggregation as harmful, leading to astrogliosis and morphological microglial changes around senile plaques, resulting in pro-inflammatory cytokines secretion (<xref ref-type="bibr" rid="B4">Boche and Nicoll, 2008</xref>). Prolonged glial cells activation, causes uncontrolled neuroinflammation, neuronal dysfunction, and cell death, which promote disease progression (<xref ref-type="bibr" rid="B9">Carriba and Comella, 2015</xref>). On the other hand, the clearance of A&#x3b2; from the brain involves the active participation of glial cells amongst others (<xref ref-type="bibr" rid="B62">Yoon and Jo, 2012</xref>). They surround compacted A&#x3b2; plaques, forming a barrier to prevent the generation of new A&#x3b2; monomers and protect neurons (<xref ref-type="bibr" rid="B56">Ullah and Lee, 2023</xref>). Insufficient clearance of A&#x3b2; has been identified as the major pathological mechanism of AD (<xref ref-type="bibr" rid="B5">Cai et al., 2023</xref>). Given this context, our study aimed to test the possibility that RPTP&#x3b2;/&#x3b6; inhibition with MY10 modulates glial responses in APP/PS1 mice. Our results indicate that treatment with MY10 decreased the number and size of astrocytes, as well as the number of microglial cells in male and female APP/PS1 mice. It is known that activated glial cells like microglia and astrocytes are key in promoting a neuroinflammatory response that can be the neuropathological event leading to neurodegeneration in AD (<xref ref-type="bibr" rid="B16">Fakhoury, 2018</xref>). Many reactive glial cells are found near senile plaques in AD patients, which suggests the role of these cells in the pathogenesis of the disease (<xref ref-type="bibr" rid="B65">Zotova et al., 2011</xref>). In this study, the decreased numbers of glial cells caused by MY10 treatment are associated with a reduction of A&#x3b2;, suggesting that a diminished persistent glial reactivity against this pathologic protein aggregation may contribute to mitigate the progression of neuroinflammation and neurodegeneration in the context of the disease. However, not only the reduction of gliosis is important but the proximity of glial cells to A&#x3b2; plaques and the type of molecules they express.</p>
<p>PTN is primarily expressed in the CNS but is significantly upregulated in various cells, including microglia and inflammatory macrophages, following injury (<xref ref-type="bibr" rid="B37">Martin et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Jin et al., 2009</xref>; <xref ref-type="bibr" rid="B38">Muramatsu, 2011</xref>; <xref ref-type="bibr" rid="B24">Gonz&#xe1;lez-Castillo et al., 2014</xref>). In APP/PS1 mice, we observed that PTN was predominantly expressed in astrocytes and, to a lesser extent, in microglia. Treatment with MY10 reduced the overall PTN marked area. Recent studies demonstrate that PTN is accumulated in senile plaques, and it has an impact on amyloid deposition by accelerating senile plaques aggregation (<xref ref-type="bibr" rid="B33">Levites et al., 2024</xref>). This suggests that MY10 treatment could reduce senile plaque aggregation by decreasing PTN expression. Specifically, MY10 tended to decrease PTN expression in microglial cells, but not in astrocytes, suggesting different regulatory mechanisms and cellular responses in astrocytes and microglia in AD. As expected, both astrocytes and microglia were spatially associated with A&#x3b2; plaques in APP/PS1 mice. Here, we show that MY10 treatment significantly reduced the number of astrocytes and microglial cells surrounding A&#x3b2; plaques in APP/PS1 mice. These results strongly support the modulation of neuroinflammation through RPTP&#x3b2;/&#x3b6; inhibition and its potential association with the clearance of A&#x3b2; plaques in the hippocampus.</p>
<p>In response to A&#x3b2; plaque accumulation, microglia produces proinflammatory cytokines, leading to chronic neuroinflammation (<xref ref-type="bibr" rid="B26">Hansen et al., 2018</xref>). Interestingly, in the hippocampus of APP/PS1 mice, <italic>Tnfa</italic> and <italic>Hmgb1</italic> mRNA expression levels were significantly reduced by MY10. On the other hand, <italic>Il6</italic>, <italic>Il1b</italic>, <italic>Ptgs2</italic> and <italic>Cd68</italic> expression levels did not seem to be significantly modulated by MY10, suggesting that RPTP&#x3b2;/&#x3b6; inhibition with MY10 modulates neuroinflammation by regulating <italic>Tnfa</italic> and <italic>Hmgb1</italic> mRNA expression levels in APP/PS1 mice. TNF&#x3b1; and HMGB1 are key pro-inflammatory molecules implicated in neuroinflammation, which plays a crucial role in AD progression. Several anti-inflammatory treatments targeting microglial activation have been shown to significantly decrease TNF&#x3b1; expression, reducing synaptic dysfunction and cognitive impairment in AD (<xref ref-type="bibr" rid="B10">Decourt et al., 2017</xref>). Similarly, extracellular HMGB1 is thought to contribute to AD pathology by inhibiting microglial phagocytosis and stabilizing A&#x3b2;42 oligomers. It has been demonstrated that inhibition of HMGB1 reduces neuroinflammation and enhances A&#x3b2; clearance (<xref ref-type="bibr" rid="B17">Fang et al., 2012</xref>). These findings support the idea that pharmacological treatments that modulate these inflammatory pathways, can suppress the activation of glial cells and promote A&#x3b2; clearance.</p>
<p>Microglia and astrocytes also promote the breakdown of A&#x3b2; fibrils and oligomers by secreting multiple A&#x3b2;-degrading enzymes (<xref ref-type="bibr" rid="B1">Abud et al., 2017</xref>) such as BACE1 (<xref ref-type="bibr" rid="B55">Ulku et al., 2023</xref>; <xref ref-type="bibr" rid="B25">Hampel et al., 2021</xref>), MMP9 (<xref ref-type="bibr" rid="B28">Hernandes-Alejandro et al., 2020</xref>) and IDE (<xref ref-type="bibr" rid="B54">Tian et al., 2023</xref>). Interestingly, we found that MY10 differentially modulates the hippocampal mRNA expression levels of these enzymes. Treatment with MY10 significantly increased <italic>Bace1</italic> mRNA expression in the hippocampus compared to vehicle-treated APP/PS1 mice. The beta-site amyloid precursor protein (APP) cleaving enzyme BACE1 has been known for years for its amyloidogenic activity, contributing to the production of A&#x3b2; peptides (<xref ref-type="bibr" rid="B25">Hampel et al., 2021</xref>). However, recent studies have established an amyloidolytic activity of BACE1, degrading longer A&#x3b2; peptides into a non-toxic A&#x3b2;34 intermediate (<xref ref-type="bibr" rid="B55">Ulku et al., 2023</xref>). This dual functionality of BACE1 suggests a complex regulatory role in amyloid metabolism. Specifically, while an excess of APP promotes the amyloidogenic A&#x3b2; peptide production, an excess of BACE1 facilitates increased A&#x3b2; peptides degradation (<xref ref-type="bibr" rid="B34">Liebsch et al., 2019</xref>). In this context, MY10 treatment may modulate A&#x3b2; plaques formation by enhancing the amyloidolytic activity of BACE1, thereby promoting the degradation of potentially toxic A&#x3b2; peptides.</p>
<p>Recent studies have elucidated that MMP9 contributes to the clearance of A&#x3b2; by degrading amyloid plaques and facilitating their removal from the brain (<xref ref-type="bibr" rid="B19">Fragkouli et al., 2014</xref>). However, our findings demonstrate that treatment with MY10 reduces the levels of <italic>Mmp9</italic> in the hippocampus of APP/PS1 mice. MMP9 is also involved in various physiological and pathological processes beyond A&#x3b2; degradation, such as inflammation. A decrease in <italic>Mmp9</italic> could also reflect changes in the neuroinflammatory environment or alterations in tissue homeostasis, which might indirectly affect A&#x3b2; plaque dynamics (<xref ref-type="bibr" rid="B21">Fujimoto et al., 2008</xref>). Inhibition of MMP9 facilitates A&#x3b2; clearance across the BBB and it also decreases tissue damage, neutrophil infiltration, oxidative stress and neuronal degeneration (<xref ref-type="bibr" rid="B45">Ringland et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Wang and Tsirka, 2005</xref>; <xref ref-type="bibr" rid="B48">Romanic et al., 1998</xref>; <xref ref-type="bibr" rid="B49">Rosenberg et al., 1998</xref>). MMP9 binds and proteolyzes lipoprotein receptors inducing ectodomain shedding and reducing the ability to transport A&#x3b2; out of the brain (<xref ref-type="bibr" rid="B50">Shackleton et al., 2019</xref>). Further studies are needed to unravel if and how MY10-induced reduction of <italic>Mmp9</italic> levels is involved in the beneficial effects of MY10 treatment in the APP/PS1 mouse model.</p>
<p>In addition, hippocampal <italic>Ide</italic> mRNA expression was upregulated in male mice treated with MY10, whereas no significant differences were observed in females. IDE cleaves several peptides, such as insulin and A&#x3b2; (<xref ref-type="bibr" rid="B44">Qiu et al., 1998</xref>). However, its relevance lies in the fact that it is the primary soluble A&#x3b2; degrading enzyme at neutral pH in the human brain (<xref ref-type="bibr" rid="B3">Baranello et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Dorfman et al., 2010</xref>). Accordingly, reduced IDE activity has been linked to increased A&#x3b2; accumulation and AD pathology (<xref ref-type="bibr" rid="B54">Tian et al., 2023</xref>). It is known that sex hormones modulate A&#x3b2; via induction of IDE among others (<xref ref-type="bibr" rid="B22">George et al., 2013</xref>). Nevertheless, the gender-specific increase in <italic>Ide</italic> activity in MY10-treated male mice needs further investigation and underscores the importance of considering biological sex in AD research and treatment development.</p>
<p>While this study provides important insights, certain limitations should be acknowledged. The temporal scope of our observations does not clarify whether the reduction in A&#x3b2; deposition reflects a lasting effect or a delay in progression, highlighting the need for further longitudinal studies. In addition, the precise mechanisms underlying these effects of MY10 remain unclear. Our findings are consistent with previous work in different cell lines and <italic>in vivo</italic> models; However, we did not directly examine the effects of MY10 on RPTP&#x3b2;/&#x3b6; activity in primary neural cell types, which could render a deeper understanding of the mechanisms underlying these effects. Future studies are needed to address these limitations and build upon the current findings.</p>
<p>This study provides for the first time convincing evidence that RPTP&#x3b2;/&#x3b6; inhibition with MY10 significantly reduces A&#x3b2; plaque formation, which seems related to the capacity of MY10 to regulate glial responses and the proinflammatory signal characteristic of AD, and to modulate the expression of A&#x3b2; aggregate-degrading enzymes. The data support that the PTN/RPTP&#x3b2;/&#x3b6; signalling pathway could be a novel therapeutic target in AD.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The animal study was approved by the Animal Research Committee of CEU San Pablo University and by Comunidad de Madrid (PROEX 140.3/22). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>TF-B: Writing&#x2013;review and editing, Writing&#x2013;original draft, Visualization, Methodology, Investigation, Formal Analysis, Data curation. HC-R: Writing&#x2013;review and editing, Investigation. ER-I: Writing&#x2013;review and editing, Investigation. EG: Writing&#x2013;review and editing, Investigation. JZ: Writing&#x2013;review and editing, Resources. BdP-T: Writing&#x2013;review and editing, Resources. MR-&#xc1;: Writing&#x2013;review and editing, Funding acquisition, Conceptualization. GH: Writing&#x2013;review and editing, Writing&#x2013;original draft, Visualization, Validation, Supervision, Project administration, Methodology, Funding acquisition, Formal Analysis, Data curation, Conceptualization. MV-R: Writing&#x2013;review and editing, Writing&#x2013;original draft, Visualization, Validation, Supervision, Project administration, Methodology, Formal Analysis, Data curation, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by grants from the Ministerio de Ciencia, Innovaci&#xf3;n y Universidades of Spain PID2021-123865OB-I00/MICIU/AEI/10.13039/501100011033/FEDER, UE to MDPR-A and GH.</p>
</sec>
<ack>
<p>TF-B was supported by a fellowship from Fundaci&#xf3;n Universitaria San Pablo CEU-Santander. We thank our colleagues in the animal facility and confocal microscopy at Universidad San Pablo CEU. We thank Dr. Javier de Felipe (CTB and UPM) for generously providing the APP/PS1 mouse model.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<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>
<sec id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2024.1506049/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2024.1506049/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="s13">
<title>Abbreviations</title>
<p>AD: Alzheimer&#x2019;s disease; APP/PS1: Heterozygous APPswe/PS1De9 double-transgenic mice; APP: Amyloid precursor protein; A&#x3b2;: Amyloid beta; <italic>Bace1</italic>: Beta-secretase 1; BBB: Blood-brain barrier; BSA: Bovine serum albumin; <italic>Cd68</italic>: Cluster of differentiation factor 68; CNS: Central nervous system; DAPI: 4&#x2032;,6-Diamidino-2-phenylindole; <italic>Hmgb1</italic>: High mobility group-box 1; <italic>Ide</italic>: Insulin-degrading enzyme; <italic>Il1b</italic>: Interleukin 1 Beta; <italic>Il6</italic>: Interleukin 6; <italic>Mmp9</italic>: Metalloprotease 9; NFT: Neurofibrillary tangles; PD: Parkinson&#xb4;s disease; PFA: Paraformaldehyde; <italic>Ptgs2</italic>: Prostaglandin-endoperoxide synthase 2; PTN: Pleiotrophin; qPCR: Quantitative real-time PCR; RPTP &#x3b2;/&#x3b6;: Receptor Protein Tyrosine Phosphatase &#x3b2;/&#x3b6;; SEM: Standard error of the mean; <italic>TNFa</italic>: Tumor necrosis factor Alpha; VEH: Vehicle.</p>
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