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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1534300</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pain, lactate, and anesthetics: intertwined regulators of tumor metabolism and immunity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lan</surname>
<given-names>Qinghai</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ouyang</surname>
<given-names>Aiping</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yijian</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Youchun</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhong</surname>
<given-names>Baolin</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Deng</surname>
<given-names>Simin</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2905389"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Anesthesiology, Ganzhou People's Hospital</institution>, <addr-line>Ganzhou, Jiangxi</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Valentina Audrito, Universit&#xe0; del Piemonte Orientale, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Qi Wang, Jiangsu University, China</p>
<p>Lavannya Sabharwal, Medical College of Wisconsin, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Simin Deng, <email xlink:href="mailto:dsm1234562023@163.com">dsm1234562023@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1534300</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Lan, Ouyang, Chen, Li, Zhong and Deng</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lan, Ouyang, Chen, Li, Zhong and Deng</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>Patients with advanced cancer frequently endure severe pain, which substantially diminishes their quality of life and can adversely impact survival. Analgesia, a critical modality for alleviating such pain, is now under scrutiny for its potential role in cancer progression, a relationship whose underlying mechanisms remain obscure. Emerging evidence suggests that lactate, once considered a metabolic byproduct, actively participates in the malignant progression of cancer by modulating both metabolic and immunological pathways within the tumor microenvironment. Furthermore, lactate is implicated in the modulation of cancer-related pain, exerting effects through direct and indirect mechanisms. This review synthesizes current understanding of lactate&#x2019;s production, transport, and functional roles in tumor cells, encompassing the regulation of tumor metabolism, immunity, and progression. Additionally, we dissect the complex, bidirectional relationship between lactate and pain, and assess the impact of anesthetics on pain relief, lactate homeostasis, and tumorigenesis.</p>
</abstract>
<kwd-group>
<kwd>anesthesia</kwd>
<kwd>lactate</kwd>
<kwd>pain</kwd>
<kwd>cancer progression</kwd>
<kwd>metabolism</kwd>
<kwd>immunity</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="134"/>
<page-count count="16"/>
<word-count count="8527"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Approximately 80% of patients with advanced cancer encounter cancer-related pain, resulting from tissue infiltration, compression, and destruction by tumor growth or metastasis (<xref ref-type="bibr" rid="B1">1</xref>), as well as from cancer treatments (<xref ref-type="bibr" rid="B2">2</xref>). This pain significantly impairs patients&#x2019; quality of life and can reduce survival rates (<xref ref-type="bibr" rid="B3">3</xref>). Thus, effective pain management is crucial. The World Health Organization advocates a multi-step analgesic ladder, including non-opioid and opioid analgesics, tailored to the pain&#x2019;s severity (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Despite opioids&#x2019; central role in cancer pain management, their adverse effects, notably tolerance, diminish their efficacy. Consequently, alternative multimodal strategies, such as anesthesia, should be integrated into therapy (<xref ref-type="bibr" rid="B6">6</xref>). Anesthetics like lidocaine, ketamine, and gabapentinoids have demonstrated efficacy in managing chronic pain (<xref ref-type="bibr" rid="B7">7</xref>). Recent research implicates these agents in modulating cancer progression via effects on tumor immunity (<xref ref-type="bibr" rid="B8">8</xref>) and metabolism (<xref ref-type="bibr" rid="B9">9</xref>). Intriguingly, pain itself may influence tumorigenesis by altering biochemical processes, including lactic acid production in the tumor microenvironment.</p>
<p>Once regarded as merely a metabolic byproduct, lactate has now emerged as a multifunctional metabolite with crucial roles in cellular physiology: it serves as a critical energy substrate for mitochondrial respiration, a principal precursor for gluconeogenesis, and exerts signaling functions (<xref ref-type="bibr" rid="B10">10</xref>). In the context of oncology, the Warburg effect&#x2014;a phenomenon where tumor tissues exhibit heightened glucose consumption compared to surrounding tissues&#x2014;has been extensively studied. This metabolic reprogramming is characterized by the preferential routing of glucose through aerobic glycolysis, even in the presence of oxygen, resulting in the production of lactate at the expense of carbon dioxide. This metabolic shift results in elevated levels of lactate within both the intracellular and extracellular compartments of the tumor microenvironment (TME) (<xref ref-type="bibr" rid="B11">11</xref>). Furthermore, lactate shuttling within the TME facilitates a metabolic symbiosis among cancer cells dispersed throughout the tumor, allowing for the exchange of nutrients and energy-rich molecules (<xref ref-type="bibr" rid="B12">12</xref>). Under conditions of microenvironmental stress, histone lysine lactylation (Kla) accumulates at gene promoters, driving the production of lactate and modulating gene expression patterns that influence tumor growth and metastasis (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>In summary, lactate emerges as a pivotal metabolite in tumor progression, with its intricate interplay with pain suggesting a broader clinical role for anesthesia in cancer therapy beyond pain relief. This review delves into the nexus of lactate and tumor biology, including the bidirectional dynamics between pain and lactate. We also assess the impact of anesthesia on pain management, lactate metabolism, and cancer progression. These insights underscore the potential for refined anesthetic strategies to enhance the efficacy of pain management and impede cancer progression, ultimately aiming to improve clinical outcomes and the quality of life for oncology patients.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>The effect of lactate on tumors</title>
<sec id="s2_1">
<label>2.1</label>
<title>Biological basis of lactate in cancer</title>
<p>Research has shown that hypoxic conditions strongly up - regulate the expression of Hypoxia - inducible factor - 1&#x3b1; (HIF - 1&#x3b1;). HIF - 1&#x3b1;, in turn, induces the expression of glucose transporters (GLUTs) and the monocarboxylate transporter 4 (MCT4). This induction redirects glucose (Glc) metabolism towards hypoxic glycolysis, bypassing the tricarboxylic acid (TCA) cycle. Instead, pyruvate (Pyr), the primary product of glycolysis, is shunted towards conversion into lactate by lactate dehydrogenase (LDH), augmenting the rate of energy production even under oxygen-limited conditions (<xref ref-type="bibr" rid="B14">14</xref>). In addition to insufficient oxygen supply and demand leading to lactic acid production in the body, insufficient organ perfusion (<xref ref-type="bibr" rid="B15">15</xref>) actually promotes increased lactic acid production and lactic acid accumulation as well. Furthermore, nutritional status also has a regulatory role in lactate. In a study by Wang et&#xa0;al, it was found that the increase in lactate in obese mice mainly originated from white adipocytes, and the underlying mechanism was related to the increased expression of LDHA in adipocytes (<xref ref-type="bibr" rid="B16">16</xref>) In a seminal hypothesis proposed by Otto Warburg in 1956, it was posited that tumor cells, even in the presence of oxygen, favor glycolysis over oxidative phosphorylation (OXPHOS) for energy generation. This concept has become the cornerstone of cancer metabolism research (<xref ref-type="bibr" rid="B17">17</xref>). Subsequent investigations have revealed a paradoxical metabolic landscape within tumors, with cells distant from blood vessels exhibiting a heightened propensity for aerobic glycolysis compared to those in proximity to vascular structures. The accelerated proliferation of tumor cells outstrips angiogenic processes, rendering aerobic glycolysis a predominant energy source and culminating in the accumulation of lactic acid within the tumor microenvironment (TME). The conventional view is that the reason for this phenomenon may be mitochondrial functional impairment and activation of glycolytic genes by oncogenic signals (e.g., HIF-1, Myc), but Hyllana et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>) in 2022 proposed a new idea: the capacity saturation of the mitochondrial NADH shuttle system (including the Malate-Aspartate Shuttle and the Glycerol-3- Phosphate Shuttle) capacity saturation is the key reason for triggering aerobic lactic acid fermentation by the specific mechanism of NADH accumulation in the cytoplasm when the rate of glycolysis exceeds the transport capacity of the NADH shuttle system. As a result of NADH accumulation, the NAD<sup>+</sup>/NADH ratio decreases, inhibiting the activity of GAPDH, a key enzyme in glycolysis. To sustain glycolysis (and ensure ATP supply), the cell reduces pyruvate to lactate via LDH and regenerates NAD<sup>+</sup>. Beyond aerobic glycolysis, lactate in the TME also originates from the catabolism of glutamine (Gln) (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). Gln serves a dual role, supplying a carbon scaffold for lactate synthesis and generating NH4+ to counterbalance the acidosis resulting from lactate accumulation, thereby creating a protective niche for tumor cells within the TME (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Elucidating the transport mechanisms of lactate, it becomes evident that lactate is shuttled between intracellular and extracellular compartments primarily by monocarboxylic acid transporter proteins (MCT1-4) and sodium-dependent transporter proteins (SMCT1-2). The vectorial movement of lactate is dictated by the concentration gradient across the cellular membranes (<xref ref-type="bibr" rid="B23">23</xref>). Beyond its role as a metabolic byproduct of aerobic glycolysis in tumor cells, lactate has emerged as a pivotal signaling molecule, orchestrating the progression of tumor cells. Contemporary research has unveiled that lactate is capable of engaging specific lactate receptors, G-protein-coupled receptor 81 (GPR81, also known as HCAR1) and GPR132 (G2A), thereby modulating downstream signaling cascades that influence tumor cell behavior. Notably, GPR81, which is frequently overexpressed in cancer patients, serves as a critical lactate receptor, through which lactate is implicated in the modulation of tumor metabolism, progression, and immune interactions (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Lactate is cleared in a total of two ways. The first involves the oxidation of lactate to form pyruvate and subsequently acetyl coenzyme A, which is then used in the tricarboxylic acid cycle to form CO2, water and provide energy. The other is the gluconeogenesis of lactate to glucose in the liver and skeletal muscle cells in response to hormones such as glucagon and cortisol. Under normal conditions, the liver is the primary site in the body that exhibits the highest lactate clearance. When liver function is impaired, lactate clearance decreases, leading to lactate accumulation (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>The role of lactate in tumor metabolism</title>
<p>Histone lysine lactylation (Kla), an epigenetic modification once overlooked, has emerged as a critical regulator in the complex orchestration of cancer progression, exerting its influence over tumor metabolism, immunity, and additional biological mechanisms (<xref ref-type="bibr" rid="B27">27</xref>). Proteomic dissection of hepatocellular carcinoma (HCC) has unveiled the pervasive impact of Kla on a spectrum of bio-metabolic pathways, encompassing carbohydrate, amino acid, fatty acid, and nucleotide metabolism (<xref ref-type="bibr" rid="B28">28</xref>). The modus operandi of Kla is presumed to be its predominant interaction with key enzymes that govern these metabolic routes (<xref ref-type="bibr" rid="B29">29</xref>). In a seminal study, Zhang et&#xa0;al. pinpointed 27 lactylation-related genes (LRGs) in osteosarcoma (OS) that were intimately linked to amino acid metabolism, as elucidated by KEGG and GO annotations (<xref ref-type="bibr" rid="B30">30</xref>). In the tumor microenvironment (TME), lactate accumulation and its subsequent lactylation of IGF2BP3 were discovered to upregulate the expression of PCK2 and NRF2, thereby instigating serine metabolic reprogramming, augmenting the availability of S-adenosylmethionine (SAM), and conferring drug resistance in hepatocellular carcinoma (<xref ref-type="bibr" rid="B31">31</xref>). In the context of uveal melanoma (UM), lactate accumulation was observed to amplify the expression of transporter proteins and intensify OXPHOS activity (<xref ref-type="bibr" rid="B32">32</xref>). Moreover, lactate has been recognized to suppress the expression of glycolytic enzymes, such as HK-1 and PKM, while simultaneously promoting the expression of TCA cycle enzymes, including SDHA and IDH3G, thereby curbing cellular glycolysis and preserving mitochondrial homeostasis in non-small cell lung cancer (<xref ref-type="bibr" rid="B33">33</xref>). Delving into the interplay between lactate and fatty acid metabolism, Gao et&#xa0;al. demonstrated that the modulation of mitochondrial pyruvate carrier 1 (MPC1) could orchestrate lactate levels, influencing the lactylation status of fatty acid synthase K673 and, consequently, inhibiting fatty acid synthase activity (<xref ref-type="bibr" rid="B34">34</xref>). (Refer to <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> for the detailed mechanisms about the role of lactate in tumor metabolism).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The role of lactate in tumor metabolism.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1534300-g001.tif"/>
</fig>
<p>In tumor cells, lactate accumulation induces IGF2BP3 lactylation and enhances m6A methylation of PCK2 and NRF2 mRNAs, reprogramming serine metabolism. Lactate also upregulates MCT4 expression to promote lactate transport and increase OXPHOS activity. Lactate affects glucose metabolism by inhibiting cellular glycolysis and maintaining mitochondrial homeostasis through the inhibition of glycolytic enzymes (HK-1, PKM) and the promotion of TCA cycle enzymes. Furthermore, MPC1 knockdown causes lactate accumulation, promotes fatty acid synthase lactylation and affects fatty acid metabolism.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>The role of lactate on tumor immunity</title>
<p>Lactic acid is increasingly acknowledged for its role in promoting tumor progression, through inducing tumor acidosis and suppressing antitumor immunity. The TME is mainly composed of tumor cells, immune cells and supporting cells (e.g. fibroblasts, stromal cells and endothelial cells), as well as biologically active molecules (<xref ref-type="bibr" rid="B35">35</xref>). On the one hand, lactic acid interacts with immune cells and interferes with their proliferation, differentiation and immune function. On the other hand, lactate affects basal cells and endothelial cells and promotes tumor deterioration phenotypes such as basement membrane (BM) remodeling, epithelial-mesenchymal transition (EMT), metabolic reprogramming, angiogenesis and drug resistance.</p>
<p>Shang et&#xa0;al. devised a sophisticated risk prediction model revealing a positive correlation between lactate levels and the presence of CD4 T cells, CD8 T cells, M1 macrophages, and the activation of multiple immune pathways (<xref ref-type="bibr" rid="B36">36</xref>). In a parallel development, Yang et&#xa0;al. established a lactylation-associated model, highlighting the strong correlation between elevated lactylation and immune cell infiltration, particularly macrophages, alongside genetic instability. Notably, this model suggests that highly lactylated tumors are substantially more prone to immune evasion (<xref ref-type="bibr" rid="B37">37</xref>). Current research is intently focused on how lactic acid orchestrates tumor immunity by modulating T cell proliferation, differentiation, and function. The accrual of lactate leads to the inhibition of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and phosphoglycerate dehydrogenase (PGDH), key executors of NAD-dependent enzymatic reactions, thereby triggering reductive stress. This sequence of events results in a decline of serine, an essential metabolite, as lactate suppresses the expression of GAPDH and PGDH in T cells, thereby curtailing T cell proliferation (<xref ref-type="bibr" rid="B38">38</xref>). The chemokine IL-8 is known to enhance the infiltration of regulatory T-cells (Tregs) through the DAPK1/pyruvate kinase/lactate axis in response to fluctuations in tumor cell density (<xref ref-type="bibr" rid="B39">39</xref>). Tregs, adept at lactate uptake, were shown by Rao et&#xa0;al. to increase the lactylation of MOESIN and its subsequent binding to TGF&#x3b2; in a pH-dependent manner, promoting the differentiation of conventional CD4+ T cells into Tregs (<xref ref-type="bibr" rid="B40">40</xref>). Lactate also plays a pivotal role in the differentiation of CD8+ T cells. Wenes et&#xa0;al. demonstrated that the inhibition of the mitochondrial pyruvate carrier (MPC) enhances the production of acetyl coenzyme-A, which in turn increases histone acetylation and chromatin accessibility of pro-memory genes, propelling CD8+ T cells towards a memory phenotype (<xref ref-type="bibr" rid="B41">41</xref>). In the context of tumor-associated macrophages (TAMs), high concentrations of lactic acid activate the MCT1/NF-kB/COX-2 pathway, inducing high levels of PD-L1 in neutrophils and thereby inhibiting the antitumor functions of T cells (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Lactate&#x2019;s influence on macrophage-associated tumor immunity extends to both direct activation and indirect effects on macrophage recruitment and polarization. Shi et&#xa0;al. discovered that APQ9, a transporter protein vital for water and glycerol transport in macrophages, is less responsive to lactate stimulation in APQ9 knockout macrophages, which also exhibit significantly reduced lactate transport (<xref ref-type="bibr" rid="B43">43</xref>). This finding implies a role for APQ9 in mediating lactate transport within macrophages. Furthermore, GPR65, identified as a lactate sensor in TAMs, detects lactate in the TME and initiates the downstream cAMP/PKA/CREB signaling pathway, promoting the release of high-mobility group box 1 (HMGB1) from TAMs and thereby accelerating tumor progression (<xref ref-type="bibr" rid="B44">44</xref>). Lactate has also been shown to stimulate the release of interleukin (IL)-1&#x3b2; from TAMs in an inflammatory vesicle-dependent manner, with IL-1&#x3b2; further promoting TAM recruitment through the induction of C-C motif chemokine ligand 2 from tumor cells (<xref ref-type="bibr" rid="B45">45</xref>). In the TME, TAMs shift towards an M2 phenotype in response to lactate stimulation, thereby promoting tumor progression. Interestingly, despite exhibiting an M2 phenotype, TAMs display a metabolic profile akin to M1 macrophages, characterized by high glycolytic activity (<xref ref-type="bibr" rid="B46">46</xref>). M0 macrophages, upon lactate uptake from the TME, undergo H3K18 lactylation and M2 polarization. In pituitary adenomas (PA), lactate produced by PA cells induces M2 polarization of TAMs and stimulates the secretion of CCL17 by TAMs, thereby promoting PA cell invasion through the mTORC2 and ERK signaling pathways (<xref ref-type="bibr" rid="B47">47</xref>). In a striking demonstration of metabolic plasticity, D-lactate was found to induce the phenotypic switch of M2-type TAMs to M1-type TAMs by modulating the PI3K/Akt pathway (<xref ref-type="bibr" rid="B48">48</xref>). These findings collectively suggest a dynamic, bidirectional regulatory relationship between TAMs and lactate.</p>
<p>In the case of B cells, lactic acid may affect their metabolic changes and modulate B cell immune functions. Senescent B cells are hypermetabolic and are more likely to shift from oxidative phosphorylation to anaerobic glycolysis, leading to increased lactate secretion. Lactate induces autoimmune pathogenic B cells and stimulates autoimmune antibody secretion (<xref ref-type="bibr" rid="B49">49</xref>). LDHA is highly expressed in various tumors, and Feng et&#xa0;al. found that LDHA is highly expressed in diffuse large B-cell lymphoma (DLBC). Further studies revealed that LDHA regulates the metabolism, proliferation and invasion of Raji cells through feline sarcoma-related protein (FER), which may be a potential therapeutic target (<xref ref-type="bibr" rid="B50">50</xref>). B-cell lymphomas predominantly use MCT-1 to export lactate, Ernesto et&#xa0;al. found that inhibition of MCT-1 promoted the anti-tumour function of CAR T-cell therapy, and that this combination therapy was effective in improving cytotoxicity <italic>in vitro</italic> and tumor clearance <italic>in vivo (</italic>
<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>NK cells are able to synthesize a variety of killing mediators such as IFN &#x3b3;, which directly exerts tumor clearance function. Lactic acid reduces IFN &#x3b3; production by inhibiting nuclear factor of activated T cells (NFAT) in NK cells (<xref ref-type="bibr" rid="B52">52</xref>). In addition, lactic acidosis caused by the SIX1/LDHA axis contributes to NK cell dysfunction in pancreatic cancer (<xref ref-type="bibr" rid="B53">53</xref>). Lactate also inhibits lipid biosynthesis and antitumor activity of NK cells by decreasing the expression of peroxisome proliferator-activated receptor &#x3b3; (PPAR&#x3b3;) (<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>DCs, as antigen-presenting cells, are able to activate the immune response by processing and presenting antigens via MHC-II and MHC-I. Li et&#xa0;al. concluded that accumulation of lactate in tumors limits the ability of DCs to recognize and present antigens. In addition, lactate leads to inhibition of DC differentiation and promotes the production of the immunosuppressive cytokine IL-10 by DCs and inhibits the secretion of the pro-inflammatory factor IL-12 (<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>In TME, cancer-associated fibroblasts (CAFs) promote basement membrane remodeling (BMR) mainly through the secretion of type I collagen, as well as EMT, which in turn facilitates tumor invasion. Lactate enhances NUSAP1 nuclear translocation, recruiting the JUNB-FRA1-FRA2 transcriptional complex to activate DESMIN expression in CAFs. This promotes M2 macrophage polarization via IL-8 secretion, supporting tumor-associated macrophage (TAM) recruitment (<xref ref-type="bibr" rid="B56">56</xref>). In addition, Apicella et&#xa0;al. found that the use of tyrosine kinase inhibitors (TKIs) induced metabolic changes in tumor cells leading to an increase in lactate production, which contributed to the overproduction of HGF by CAF, a process involved in tumor drug resistance (<xref ref-type="bibr" rid="B57">57</xref>). Chen et&#xa0;al. concluded that lactate mediates the release of IL-8 from endothelial cells after entering endothelial cells via MCT1, as well as the migration of endothelial cells, which promotes angiogenesis (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>In addition to mediating tumor immunity by regulating immune cell proliferation, differentiation and the exercise of immune functions through diverse pathways, it has been proposed that lactic acid mediates the release of extracellular vesicles (EVs) from cancer cells, and that tumor-derived EVs inhibit various types of immune cytotoxicity, such as CD8 T-cells and NK-cells, as well as DC-mediated antigen presentation and enhance the immunosuppressive function of Tregs and MDSCs, thus promoting the immune escape of cancer cells (<xref ref-type="bibr" rid="B59">59</xref>). (The effect of lactic acid on tumor immunity is shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, and differences in the mechanisms by which lactate regulates immune cell function in different tumors are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The role of lactate in tumor immunity.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1534300-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Mechanisms of lactate regulation of immune cell function in different tumor types.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cancer type</th>
<th valign="top" align="left">Functions on immune cells</th>
<th valign="top" align="left">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gastric cancer</td>
<td valign="top" align="left">curtailing T cell proliferation</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatocellular carcinoma</td>
<td valign="top" align="left">promoting the differentiation of conventional CD4+ T cells into Tregs</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatocellular carcinoma</td>
<td valign="top" align="left">inducing high levels of PD-L1 in neutrophils and thereby inhibiting the antitumor functions of T cells</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatocellular carcinoma</td>
<td valign="top" align="left">induce the phenotypic switch of M2-type TAMs to M1-type TAMs</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatocellular carcinoma, melanoma</td>
<td valign="top" align="left">inhibits lipid biosynthesis and antitumor activity of NK cells</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B54">54</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma, leukemia</td>
<td valign="top" align="left">propelling CD8+ T cells towards a memory phenotype</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma</td>
<td valign="top" align="left">inhibiting nuclear factor of activated T cells (NFAT) in NK cells</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Colon cancer</td>
<td valign="top" align="left">stimulate an M2-like polarization</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Glioma</td>
<td valign="top" align="left">induces HMGB1 release from TAM</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Ovarian cancer, <break/>lung cancer, glioma</td>
<td valign="top" align="left">promoting TAM recruitment</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Lung cancer</td>
<td valign="top" align="left">activating DESMIN transcription in cancer-associated fibroblasts (CAFs), which in turn foster M2 polarization by secreting IL-8, thereby recruiting TAMs or promoting macrophage activity</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B56">56</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Pituitary adenoma</td>
<td valign="top" align="left">induces M2 polarization of TAMs</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">B-cell lymphoma</td>
<td valign="top" align="left">regulates the metabolism, proliferation and invasion of Raji cells</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B60">60</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">B-cell lymphomas</td>
<td valign="top" align="left">regulates the metabolism, proliferation and invasion of Raji cells</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Pancreatic cancer</td>
<td valign="top" align="left">contributes to NK cell dysfunction</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In TME, lactate inhibits 3-phosphoglycerate derived serine by suppressing the expression of GADPH and PGDH in T cells, leading to inhibition of T cell proliferation. In addition, lactate promotes the differentiation of CD4<sup>+</sup> T cells to Tregs cells by promoting MOESIN lactylation and MOESIN binding to TGF&#x3b2;. IL-8 upregulates DAPK1 and PK expression in tumor cells, promotes lactate secretion by tumor cells and causes Treg cell infiltration. In CD8+ cells, MPC maintains lactate oxidation to sustain cytotoxic T cell antitumor functions. In neutrophils, lactate enters neutrophils via MCT and promotes PD-L1 expression via the NF-&#x3ba;B/cox pathway and inhibits tumor killing function of T cells. In macrophages, lactate activates GPR65, promotes downstream cAMP/PKA/CREB activation, facilitates HMGB1 secretion and promotes tumor cell proliferation. Lactate also enters macrophages via AQP9, promotes the release of CCL17 via the mTOR/ERK pathway, and promotes macrophage polarization towards M2. D-lactate, on the other hand, promotes macrophage conversion from M2 to M1 via the PI3K/Akt pathway. Lactic acid secreted by tumor cells into macrophages promotes the secretion of IL-1&#x3b2; from even cells, and IL-1&#x3b2; induces an immunosuppressive phenotype in tumor cells. Furthermore, CCL2 secreted by tumor cells as well as IL-8 secreted by CAFs induces macrophage recruitment. Lactate induces autoimmune pathogenic B cells and stimulates the secretion of autoimmune antibodies. LDHA is highly expressed in diffuse large B-cell lymphoma (DLBC) and regulates the metabolism, proliferation and invasion of Raji cells via FER. Inhibition of MCT-1 in B-cell lymphoma promotes the anti-tumor function of CAR T-cell therapy. Lactate inhibition of NFAT in NK cells reduces the production of the killing factor IFN &#x3b3;. Lactate also inhibits lipid biosynthesis and anti-tumor activity in NK cells by down-regulating PPAR&#x3b3; expression. Lactic acidosis induced by the SIX1/LDHA axis in cancer cells also leads to NK cell dysfunction. Lactate inhibits the differentiation of DC cells, promotes the production of the immunosuppressive cytokine IL-10 by DC cells, and inhibits the secretion of the pro-inflammatory factor IL-12. Lactic acid mediates the release of EV from cancer cells, which in turn inhibits various immune cytotoxicity such as CD8 T cells and NK cells as well as DC-mediated antigen presentation, and enhances the immunosuppressive function of Tregs and MDSCs, thereby promoting the immune escape of cancer cells.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>The role of lactate on tumor progression</title>
<p>Lactate, a pivotal energy substrate for cancer cells, is frequently correlated with advanced tumor progression, encompassing cancer cell proliferation, invasion, and metastasis. Compelling studies demonstrate that the intravenous administration of Veillonella parvula, an anaerobic bacterium capable of fermenting lactic acid, substantially diminishes lactate levels and curbs tumor cell proliferation and metastasis (<xref ref-type="bibr" rid="B61">61</xref>). In&#xa0;the context of breast cancer, lactate within the TME triggers the assembly of the hydroxycarboxylic acid receptor 1 (HCAR1), thereby activating downstream RAS and PI3K oncogenic signaling pathways, which are instrumental in promoting cancer progression (<xref ref-type="bibr" rid="B62">62</xref>). The accumulation of lactate in breast cancer is also linked to heightened heterogeneous gene expression and the histomorphogenesis associated with invasion (<xref ref-type="bibr" rid="B63">63</xref>). Recent discoveries highlight the correlation between a low pH environment, a hallmark of TME acidosis due to lactate accumulation, and the elevated invasive capacity of tumor cells. Carbonic anhydrase IX (CA9), a biomarker of tumor invasion, exerts a significant regulatory role in modulating this acidic TME (<xref ref-type="bibr" rid="B64">64</xref>). The lactate transporter protein MCT4, in conjunction with CD147, is implicated in the matrix metalloproteinase 14 (MMP14)-mediated degradation of the extracellular matrix (ECM), thereby facilitating breast cancer cell invasion (<xref ref-type="bibr" rid="B65">65</xref>). Conversely, lactate oxidase (LOX) downregulates lactate levels by impeding MCT1 and MCT4, thereby disrupting the lactate-driven oncogenic pathway (<xref ref-type="bibr" rid="B62">62</xref>). The suppression of GPR81 in breast cancer cells has been shown to inhibit cancer cell migration and invasion, potentially due to the impairment of glycolysis and lactate-dependent ATP production in cancer cells (<xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>Beyond the direct tumor-promoting effects of lactic acid, pivotal components within the lactate production cascade, specifically within the context of aerobic glycolysis, are deeply implicated in oncogenic processes. Lactate dehydrogenase A (LDHA), a crucial enzyme in the terminal phase of glycolysis, exhibits heightened expression in cancerous tissues. Hou et&#xa0;al. have delineated that the upregulation of LDHA expression augments lactic acid production and histone lysine lactylation, diminishes tumor cell adhesion, and ultimately fuels the proliferation, invasion, and migration of breast cancer cells (<xref ref-type="bibr" rid="B67">67</xref>). Chen et&#xa0;al. have uncovered that ZDHHC9-mediated palmitoylation of LDHA enhances lactic acid production, thereby promoting the proliferation and growth of pancreatic tumor cells (<xref ref-type="bibr" rid="B68">68</xref>). The efficacy of LDH inhibitors in curbing breast cancer cell proliferation, motility, and invasion reiterates the indispensable role of lactate in cancer progression (<xref ref-type="bibr" rid="B69">69</xref>). Moreover, the overexpression of paired homology structural domain transcription factor 2 (PITX2) in ovarian cancer cells has been observed to induce the nuclear accumulation of LDHA, resulting in elevated lactate concentrations. The silencing of LDHA attenuates lactate production and subsequently inhibits the proliferative rate of tumor cells (<xref ref-type="bibr" rid="B70">70</xref>). The initial rate-limiting enzymes of glycolysis, hexokinase 1 (HK1) and hexokinase 2 (HK2), are markedly overexpressed in breast cancer, with the suppression of HK expression leading to the dampening of breast cancer cell proliferation, invasion, and migration (<xref ref-type="bibr" rid="B71">71</xref>). In gastric cancer, SALL4 has been shown to stimulate the proliferation, invasion, and migration of gastric cancer cells through the upregulation of HK-2 (<xref ref-type="bibr" rid="B72">72</xref>). HK-2, a key glycolytic enzyme, also plays a regulatory role in the pyroptosis of cancer cells induced by tretinoin (TPL) (<xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>The activation of glycolysis in non-malignant cells within the tumor microenvironment (TCM) also plays a crucial role in fostering the neoplastic development. Once activated, cancer-associated fibroblasts (CAFs) exhibit a heightened rate of aerobic glycolysis, which, when co-cultured with nasopharyngeal carcinoma (NPC) cells, significantly amplifies the migratory capacity of these cancer cells (<xref ref-type="bibr" rid="B74">74</xref>). Furthermore, the glycolytic activation of bone marrow stromal cells (BMSCs) induced by exosomes derived from lung cancer A549 cells is instrumental in sculpting a pre-metastatic niche. This interaction promotes the proliferation and metastasis of A549 cells through a metabolic phenomenon known as the reverse Warburg effect, wherein the BMSCs engage in aerobic glycolysis to support the metabolic demands of the cancer cells (<xref ref-type="bibr" rid="B75">75</xref>).</p>
<p>In tumor cells, lactate promotes tumor cell invasion by up-regulating CA9 expression. MCT4, along with CD147, MMP14, H+ and degraded ECM, promote tumour cell invasion via vesicular transport, and high expression of GPR8 fosters glycolysis, which also contributes to tumor invasion. In TME, LOX reduces lactate accumulation. Lactate activates TCAR1, which enhances cancer progression through downstream Ras and PI3K pathways. In addition, lactate facilitates tumor cell proliferation, invasion, and migration through the cell cycle and DNA replication. overexpression of HK-1 and HK-2 likewise has pro-cancer effects. PITX2 and KCNK1 as well as ZDHHC9-mediated palmitoylation up-regulate LDHA expression, promote lactate production, then lactylate H3K18 and down-regulate HDAC1/2 to inhibit H3/H4 acetylation, ultimately inhibiting tumor cell proliferation. LMP1 secreted by tumor cells induces the activation of normal fibroblasts into tumor-associated fibroblasts through the NF-&#x3ba;B pathway, promotes the high expression of MCT4 as well as the occurrence of autophagy, and ultimately fosters the proliferation and migration of tumor cells. IGF-2 and IGFBP2 secreted by tumor cells upregulate the glycolytic pathway of bone marrow stromal cells and promote tumor cell proliferation and metastasis. (The mechanism by which lactic acid affects tumor progression is seen in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The role of lactate in tumor progression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1534300-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>The effect of lactate on cancer related pain</title>
<sec id="s3_1">
<label>3.1</label>
<title>Biological basis of caner related-pain</title>
<p>When the human body is exposed to thermal, mechanical, or chemical stimuli exceeding a critical threshold, nociceptive neurons are activated, transmitting noxious signals from the periphery to the spinal cord. This neural transmission is instrumental in communicating the precise location and magnitude of the painful stimulus, as well as the subjective experience of pain and the modulation of the spinal cord&#x2019;s descending feedback system (<xref ref-type="bibr" rid="B76">76</xref>). Pain can be broadly categorized into two forms: acute and chronic. Patients afflicted with cancer predominantly endure chronic pain, which emanates not only from the tumor&#x2019;s direct compression and invasion but also from iatrogenic nerve damage and secondary inflammation induced by therapeutic interventions, such as chemotherapy and radiotherapy. Contemporary research implicates peripheral and central sensitization as the key mechanisms underlying chronic pain (<xref ref-type="bibr" rid="B77">77</xref>). Peripheral sensitization occurs when the inflammatory milieu, replete with agents like bradykinin, prostaglandins, H+, ATP, nerve growth factor (NGF), pro-inflammatory cytokines, and chemokines, activates receptors on nociceptors. These receptors include G protein-coupled receptors (GPCRs), transient receptor potential (TRP) channels, acid-sensitive ion channels (ASICs), two-pore potassium channels (K2P), and receptor tyrosine kinases (RTKs), thereby initiating pain signaling and perception (<xref ref-type="bibr" rid="B78">78</xref>). The paradigm of central sensitization encompasses three principal mechanisms: glutamate/NMDA receptor-mediated sensitization, disinhibition, and microglial activation (<xref ref-type="bibr" rid="B76">76</xref>). The glutamate/NMDA receptor-mediated pathway is activated by sustained noxious stimuli, which trigger C and A&#x3b4; fibers, leading to the release of various neurotransmitters. These neurotransmitters activate postsynaptic NMDA receptors, causing an influx of intracellular calcium and the subsequent activation of downstream signaling cascades (<xref ref-type="bibr" rid="B76">76</xref>). Disinhibition refers to the suppression of inhibitory interneurons, which normally tamp down the excitability of layer I output neurons by maintaining the release of gamma-aminobutyric acid (GABA) and/or glycine (Gly). This process can also involve the engagement of non-invasive A&#x3b2; primary afferent nerves in pain transmission due to the neuronal expression of excitatory PKC&#x3b3;, culminating in allodynia. Microglial activation, induced by ATP and chemokines released from damaged peripheral nerves, results in central sensitization through the secretion of brain-derived neurotrophic factor (BDNF) and pro-inflammatory cytokines (<xref ref-type="bibr" rid="B76">76</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Regulation mechanisms of lactate on pain</title>
<p>A substantial body of research has established a robust correlation between lactic acid and pain perception. Micro-dialysis studies have demonstrated that both interstitial muscle and plasma lactate and glutamate concentrations are markedly elevated in individuals suffering from chronic widespread pain (CWP) as compared to asymptomatic subjects (<xref ref-type="bibr" rid="B79">79</xref>). Notably, elevated levels of lactic acid have been detected in the serum of patients grappling with cancer-related pain (<xref ref-type="bibr" rid="B80">80</xref>). The proposed mechanism involves the accumulation of lactic acid at postoperative incision sites, which, through a localized decrease in pH, may activate injury receptors and precipitate pain (<xref ref-type="bibr" rid="B81">81</xref>). Furthermore, in patients with bone cancer, an upregulation of ASIC1 has been observed, potentially contributing to heightened nociceptive sensitivity (<xref ref-type="bibr" rid="B82">82</xref>). Emerging research, however, suggests that lactic acid alone is not sufficient to elicit pain; rather, a combination of lactic acid, ATP, and H+, when administered intramuscularly, induces both fatigue and pain (<xref ref-type="bibr" rid="B83">83</xref>). The reason for this discrepant result may be that the study explored the tissue type of human thumb short adductor muscle. ASIC, a key receptor for lactic acid-triggered pain, is expressed in different tissues with different types (ASIC3 is expressed in the injurious neurons innervating the muscle (~50%) more than in the skin (~10%)). In addition, the thumb abductor digitorum is highly vascularized and highly innervated, so it is likely that the sensory activation profile of at least some other skeletal muscles will be different from that reported here. In addition, this study found that the metabolites administered alone were ineffective at low concentrations and only induced responses when administered at very high concentrations corresponding to vascular and muscle damage, suggesting that differences in setting threshold concentrations for metabolite-induced pain may be due to differences between human and animal models, leading to different conclusions.</p>
<p>Lactic acid&#x2019;s role in chronic pain extends beyond direct stimulation of injury receptors, as it may also activate associated neurons. The inhibition of MCT4 expression in the dorsal root ganglion (DRG) of sensory neurons has been shown to downregulate the expression of pERK1/2 in the DRG (<xref ref-type="bibr" rid="B84">84</xref>), indicating that the transport of lactic acid, a byproduct of tumor cell glycolysis, may contribute to neuronal excitation and the manifestation of cancer-related pain. Astrocytes, known regulators of chronic pain, release lactate through glycolysis, facilitating an energy transfer to neurons via MCT, thereby activating the ERK/CREB signaling cascade and Fos gene expression, which are integral to the modulation of chronic pain (<xref ref-type="bibr" rid="B85">85</xref>). The inhibition of this lactate shuttle pathway has been proven effective in alleviating chronic pain (<xref ref-type="bibr" rid="B86">86</xref>). Additionally, lactate accumulation within the synaptic microenvironment upregulates the expression of microglial thioredoxin-interacting protein (TXNIP) mRNA, triggering downstream neuronal death, impacting synaptic plasticity, and perpetuating central sensitization (<xref ref-type="bibr" rid="B87">87</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Regulation mechanisms of pain on lactate</title>
<p>Investigations have revealed that pain serves a dual role, manifesting not only as an outcome of discomfort from noxious stimuli but also as a potent stressor that activates the hypothalamic-pituitary-adrenal-thyroid-gonadal (HPATG) axis, thereby influencing the endocrine system (<xref ref-type="bibr" rid="B88">88</xref>). Upon the genesis of pain in the brain, the hypothalamus is stimulated to secrete corticotropin-releasing hormone (CRH), gonadotropin-releasing hormone (GRH), and thyroid-releasing hormone (TRH), which in turn induce the secretion of hormones such as cortisol, dehydroepiandrosterone (DHEA), testosterone, progesterone, estrogen, triiodothyronine (T3), and thyroxine (T4). These hormones mediate pain control through immune, inflammatory, and glucoregulatory mechanisms. Studies in the toad species Bufo gargarizans have demonstrated that cortisol can decrease serum lactate levels, potentially through the enhancement of gluconeogenesis (<xref ref-type="bibr" rid="B89">89</xref>). However, similar research in humans is sparse. Plasma metabolomic analyses in men with hypogonadism have unveiled significant shifts in biochemical pathways, including the conversion of lactate to ketone bodies. Testosterone administration, conversely, has been shown to increase lactate levels and enhance glycolysis (<xref ref-type="bibr" rid="B90">90</xref>). Progesterone also plays a role in lactate regulation; Tomoka et&#xa0;al. observed changes in blood glucose, lactate, and insulin concentrations post-exercise in women across the early follicular, late follicular, and luteal phases, noting significantly higher lactate concentrations during the late follicular and luteal phases compared to the early follicular phase (<xref ref-type="bibr" rid="B91">91</xref>). This suggests a regulatory role for progesterone in lactate homeostasis. In contrast, Dragutinovic et&#xa0;al. reported reduced serum lactate accumulation during the mid-luteal phase in their examination of the menstrual cycle&#x2019;s effect on exercise in women (<xref ref-type="bibr" rid="B92">92</xref>). These discrepancies may arise from variations in exercise intensity and lactate testing timing, with the precise mechanisms awaiting further elucidation. Estrogen, known to modulate glycolysis in cancer cells, has been further implicated by Zamer et&#xa0;al., who found that the co-inhibition of pyruvate kinase M2 (PKM2) expression with estrogen significantly reduced lactate levels and induced apoptosis in colorectal cancer cells more effectively than estrogen treatment alone (<xref ref-type="bibr" rid="B93">93</xref>). Marwali et&#xa0;al.&#x2019;s study proposed that exogenous thyroid supplementation does not influence lactate levels in extracorporeal circulation and reperfusion (<xref ref-type="bibr" rid="B94">94</xref>). Despite thyroid hormones&#x2019; role in accelerating glucose metabolism, research on their impact on lactate is limited.</p>
<p>The feedback mechanisms of pain on lactate have been minimally explored, primarily due to a focus on symptomatic treatment mechanisms. Nonetheless, as a key signaling molecule, lactate may be intricately linked to various physiopathological processes, and the interplay between pain and lactate could have broader implications for downstream pathophysiological outcomes, warranting further investigation into this regulatory feedback loop.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Regulation of anesthesia</title>
<sec id="s4_1">
<label>4.1</label>
<title>Mechanisms of pain modulation by anesthesia</title>
<p>Anesthetics are categorized into two fundamental types: general and local. General anesthetics induce a reversible state of unconsciousness, analgesia, and muscle relaxation, whereas local anesthetics are confined to producing a reversible loss of sensation in specific regions of the body without impairing consciousness. The realm of general anesthetics encompasses both inhalational and intravenous agents. Prominent among the inhalational anesthetics are ether, halothane, enflurane, and nitrous oxide. Intravenous anesthetics commonly utilized include propofol, thiopentone or thiopental sodium, and ketamine (<xref ref-type="bibr" rid="B95">95</xref>). Propofol exerts its effect by diminishing the opening duration of sodium channels, thereby blocking nerve conduction. In contrast, thiopentone or thiopental sodium inhibits nerve conduction by facilitating the influx of chloride ions into nerve cells through &#x3b3;-aminobutyric acid (GABA) channels, leading to neuronal hyperpolarization. Ketamine functions as an analgesic by antagonizing the excitatory neurotransmitter glutamate, thereby preventing its binding to N-methyl-D-aspartate (NMDA) receptors. Local anesthetics, such as procaine and lidocaine, are widely recognized for their ability to interact with voltage-gated sodium channels, inducing channel inactivation and impeding the passage of sodium ions (Na+). This prevents the propagation of nerve impulses, achieving localized analgesia and inhibiting pain production (<xref ref-type="bibr" rid="B96">96</xref>). Moreover, local anesthetics can penetrate neurons via the lipid bilayer of neuronal membranes and through the TRPV-1 channel pathway, thereby exerting a nerve-blocking effect (<xref ref-type="bibr" rid="B96">96</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Effect of anesthesia on lactate</title>
<p>In a clinical trial assessing the comparative effects of ciprofol and propofol on anesthetized patients undergoing cardiac surgery, Yu et&#xa0;al. observed a reduction in lactate levels by an average of 0.1 mmol/L ten minutes post-anesthesia induction compared to the levels ten minutes pre-induction, for both pharmaceuticals (<xref ref-type="bibr" rid="B97">97</xref>). In contrast, within the context of postoperatively ventilated liver transplant patients administered a comparable dose of propofol, a comprehensive examination of propofol concentrations and lactate levels over a 14-hour period post-anesthesia revealed no discernible correlation between the anesthetic and lactate levels (<xref ref-type="bibr" rid="B98">98</xref>). Furthermore, Zou et&#xa0;al., in an experimental study involving the intraperitoneal injection of propofol in seven-day-old mice, noted an elevation in arterial blood lactate levels at the 6-hour and 12-hour marks post-injection when compared to the control cohort (<xref ref-type="bibr" rid="B99">99</xref>). These collective findings imply that propofol may possess the unique ability to diminish lactate concentrations in a manner independent of concentration gradients at therapeutic levels, yet may paradoxically stimulate lactate production at concentrations exceeding safety thresholds.</p>
<p>Dexmedetomidine (Dex), an &#x3b1;2-adrenoceptor agonist, is extensively utilized in the practice of general anesthesia. A wealth of clinical studies and animal experimental data indicate that Dex is efficacious in lowering serum lactate levels post-anesthesia, particularly in patients who have undergone myocardial ischemia-reperfusion injury and in corresponding rat models (<xref ref-type="bibr" rid="B100">100</xref>). Consistent with these observations, clinical trials employing Dex for anesthesia in various patient populations, including those undergoing coronary artery bypass grafting (<xref ref-type="bibr" rid="B101">101</xref>), living liver transplantation (<xref ref-type="bibr" rid="B102">102</xref>), critically ill patients facing gastrointestinal surgery (<xref ref-type="bibr" rid="B103">103</xref>), and non-diabetic individuals (<xref ref-type="bibr" rid="B104">104</xref>), have corroborated that Dex is associated with a reduction in lactic acid production across a spectrum of clinical scenarios. Furthermore, the implementation of a Dex-mediated long-term sedation protocol has been demonstrated to not only reduce lactate levels but also to significantly decrease mortality rates among patients with septic shock (<xref ref-type="bibr" rid="B105">105</xref>). Beyond its traditional anesthetic applications, Dex has been shown to inhibit glycolysis in macrophages, consequently dampening the pro-inflammatory response typically triggered by lipopolysaccharide (<xref ref-type="bibr" rid="B106">106</xref>). Collectively, these studies underscore the broad-ranging disease-ameliorating potential of Dex, extending beyond its role in anesthesia.</p>
<p>Ou et&#xa0;al. reported that a 6-hour treatment with 50 &#x3bc;M/L ketamine enhances glucose uptake in astrocytes via the ERK/GLUT3 signaling pathway, thereby stimulating lactate production (<xref ref-type="bibr" rid="B107">107</xref>). However, this finding contrasts with clinical study outcomes, which indicate that ketamine correlates with a decrease in lactate levels (<xref ref-type="bibr" rid="B108">108</xref>). This inconsistency may stem from differences in the sites of lactate detection.</p>
<p>Conner et&#xa0;al. confirmed in a porcine model that lidocaine alleviates severe ischemia-reperfusion injury, marked by a notable enhancement in lactate clearance (<xref ref-type="bibr" rid="B109">109</xref>). Ahuja et&#xa0;al. further explored the impact of lidocaine on serum lactate levels following anesthesia in patients undergoing intestinal surgery. Their study revealed that patients administered intraoperative lidocaine exhibited reduced postoperative lactate and LDH levels compared to the saline group, thereby improving postoperative outcomes (<xref ref-type="bibr" rid="B110">110</xref>). In a divergent finding, Pustetto et&#xa0;al.&#x2019;s clinical trial indicated that lidocaine does not significantly affect blood lactate levels in patients undergoing major abdominal surgery (<xref ref-type="bibr" rid="B111">111</xref>), suggesting that the influence of lidocaine may vary depending on the disease model.</p>
<p>Levobupivacaine and ropivacaine new types of local anesthetic, which has the advantages of fast onset of action, long duration of action, and high safety, etc. Li et&#xa0;al. found that levobupivacaine could inhibit the proliferation and migration of colorectal adenocarcinoma cells, but had no anticancer effect on melanoma cells (<xref ref-type="bibr" rid="B112">112</xref>). In addition, levobupivacaine can inhibit the proliferation of breast cancer cells and promote the apoptosis of cancer cells <italic>in vitro</italic> (<xref ref-type="bibr" rid="B113">113</xref>). Levobupivacaine inhibited the growth of gastric cancer cells through the miR-489-3p/SLC7A11 axis, leading to ferroptosis of cancer cells (<xref ref-type="bibr" rid="B114">114</xref>)while in non-small cell lung cancer cells, levobupivacaine up-regulated p53, inhibited the progression of NSCLC and induced ferroptosis (<xref ref-type="bibr" rid="B115">115</xref>). Unfortunately, no study has yet explored the effects of levobupivacaine on lactate metabolism in cancer models. (For an overview of how anesthetics regulate lactate, refer to <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The role of anesthetics in regulation of lactate.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Anesthetic</th>
<th valign="middle" align="left">Disease</th>
<th valign="middle" align="left">Lactate change</th>
<th valign="middle" align="left">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" rowspan="3">Propofol</td>
<td valign="middle" align="left">Patients undergoing cardiac surgery</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients with liver transplant</td>
<td valign="middle" align="left">irrelevant</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Mice at seven days of age</td>
<td valign="middle" align="left">&#x2191;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left" rowspan="7">Dexmedetomidine</td>
<td valign="middle" align="left">Patients and rat with myocardial ischemia-reperfusion injury</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients undergoing coronary artery bypass grafting</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients with living liver transplantation</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Critically ill patients undergoing gastrointestinal surgery</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Non-diabetic patients</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients with septic shock</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B105">105</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">LPS-induced proinflammatory responses in macrophages</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B106">106</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left" rowspan="2">Ketamine</td>
<td valign="middle" align="left">Depressive-like behaviors in mice</td>
<td valign="middle" align="left">&#x2191;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B107">107</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">mechanically ventilated patients with SARS-CoV-2</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B108">108</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left" rowspan="3">Lidocaine</td>
<td valign="middle" align="left">Severe ischemia-reperfusion injury</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B109">109</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients undergoing intestinal surgery</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B110">110</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Patients undergoing major abdominal surgery</td>
<td valign="middle" align="left">No change</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B111">111</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Levobupivacaine</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2191; represents an upregulation of lactate levels and &#x2193; means an downregulation of  lactate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Potential impact of anesthesia on tumor progression</title>
<p>Propofol has been demonstrated to curb aerobic glycolysis in lung cancer cells by modulating the circ-ERBB2/miR-7-5p/FOXM1 axis, thereby suppressing cancer cell proliferation and invasion (<xref ref-type="bibr" rid="B116">116</xref>). However, a study by Hu et&#xa0;al. noted a discrepancy; while propofol inhibited lung cancer cell proliferation, invasion, and migration, it unexpectedly increased the levels of lactic acid and glucose in the culture medium of lung cancer cells (<xref ref-type="bibr" rid="B117">117</xref>). Potential reasons regarding this difference in lactate changes could be the result of different concentrations of isoproterenol administered as well as different drug treatment times (Gao et&#xa0;al. treated A59 cells for 48h using 5, 10 and 15 &#x3bc;g/ml isoproterenol and Hu treated A59 cells for 2h using 4 &#x3bc;g/mL isoproterenol). This finding contrasts with earlier research and intriguingly, they also observed that propofol lacked comparable anti-cancer efficacy against brain cancer (<xref ref-type="bibr" rid="B117">117</xref>). Yang et&#xa0;al. (<xref ref-type="bibr" rid="B118">118</xref>) and Dong et&#xa0;al. (<xref ref-type="bibr" rid="B119">119</xref>) have each concluded that propofol potently inhibits ovarian cancer cell proliferation, invasion, migration, and glycolysis through the regulation of circ_MUC16/miR-1182/S100B and circ-ZFR/miR-212-5p/SOD2, respectively. In contrast, Dexmedetomidine forestalls malignant progression of cells by inhibiting glycolysis and suppressing c-myc lactylation in glioblastoma cells (<xref ref-type="bibr" rid="B120">120</xref>). Peng et&#xa0;al. observed that lidocaine, while ineffective on neuropsychological cognitive function in patients undergoing supratentorial tumor surgery, successfully downregulated arterial and venous blood lactate levels (<xref ref-type="bibr" rid="B121">121</xref>). (For a detail of how anesthetics influence cancer progression and lactate levels, refer to <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The role of anesthetics in cancer progression.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Anesthetic</th>
<th valign="middle" align="left">Mechanism</th>
<th valign="middle" align="left">Function</th>
<th valign="middle" align="left">Lactate change</th>
<th valign="middle" align="left">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" rowspan="5">Propofol</td>
<td valign="middle" align="left">CircTADA2A/miR-455-3p/FOXM1</td>
<td valign="middle" align="left">Inhibit lung cancer tumorigenesis and glycolysis</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B116">116</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Down-regulate GLUT1, MPC1, HIF-1&#x3b1;, p-Akt and p-Erk1/2 expression and up-regulate PEDF</td>
<td valign="middle" align="left">Suppress lung cancer cell viability, proliferation, migration and invasion of lung cancer cells</td>
<td valign="middle" align="left">&#x2191;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B117">117</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Unknown</td>
<td valign="middle" align="left">Don&#x2019;t have anti-cancer effects on brain cancer</td>
<td valign="middle" align="left">Unknown</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B117">117</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Circ_MUC16/miR-1182/S100B</td>
<td valign="middle" align="left">Inhibit ovarian cancer cell proliferation, migration, invasion and glycolytic metabolism</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Circ-ZFR/miR-212-5p/SOD2</td>
<td valign="middle" align="left">Inhibit ovarian cancer cell proliferation, migration, invasion and glycolytic metabolism</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B119">119</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Dexmedetomidine</td>
<td valign="middle" align="left">Inhibit lactylation of c-myc</td>
<td valign="middle" align="left">Suppress migration, invasion and glycolysis of glioblastoma cells</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B120">120</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Lidocaine</td>
<td valign="middle" align="left">Unknown</td>
<td valign="middle" align="left">Does not affect neuropsychological cognitive abilities of patients undergoing surgery for supratentorial tumors</td>
<td valign="middle" align="left">&#x2193;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2191; represents an upregulation of lactate levels and &#x2193; means an downregulation of  lactate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When Propofol was used as an anesthetic in patients with breast cancer (<xref ref-type="bibr" rid="B122">122</xref>), non-small cell lung cancer (<xref ref-type="bibr" rid="B123">123</xref>) and bladder cancer (<xref ref-type="bibr" rid="B124">124</xref>) in clinical studies, there was no difference in long-term survival after cancer surgery when compared to inhalational anesthetics. However, in gynecological cancer surgery, propofol performed better than inhalational anesthetics in terms of overall survival, cancer-specific and recurrence-free survival (<xref ref-type="bibr" rid="B125">125</xref>). Killian suggests that although dexmedetomidine has been shown to alleviate the inflammatory stress response produced by surgery and thereby stimulate anticancer immunity in cancer therapy, there is a lack of prospective randomized trials investigating the effect of DEX administration on recurrence-free survival and overall survival, which greatly limits the use of dexmedetomidine in oncology anesthesia (<xref ref-type="bibr" rid="B126">126</xref>). In a clinical trial on the effect of lidocaine on cancer outcomes, we found that lidocaine intraoperative infusion was associated with prolonged overall and disease-free survival in patients with ovarian cancer (<xref ref-type="bibr" rid="B127">127</xref>). This may be related to the ability of lidocaine to inhibit the elevation of biomarkers (MPO and NE) associated with metastasis and recurrence (<xref ref-type="bibr" rid="B128">128</xref>), and to the fact that continuous intravenous infusion of lidocaine in the perioperative period significantly reduced the production of tumor metastasis biomarkers (NETs) (<xref ref-type="bibr" rid="B129">129</xref>). However, intraoperative lidocaine infusion did not improve overall survival or disease-free survival in pancreatic cancer patients undergoing pancreatectomy (<xref ref-type="bibr" rid="B130">130</xref>).</p>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<p>Lactic acid, a metabolic byproduct of tumor cell glycolysis, accumulates in the tumor microenvironment (TME) as a hallmark of rapid tumor cell proliferation. Extensive research indicates that lactic acid functions as a promoter of tumor cell proliferation, invasion, and migration through a spectrum of direct and indirect effects (refer to <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Lactate has been demonstrated to exert its influence on amino acid metabolism (<xref ref-type="bibr" rid="B31">31</xref>) and fatty acid metabolism (<xref ref-type="bibr" rid="B34">34</xref>) through lactylation modifications, while also modulating glycolysis-related enzymes that regulate glucose and energy metabolism (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Despite numerous sequencing analyses implicating histone lysine lactylation (Kla) modifications in tumor cell metabolism (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>), there remains a dearth of correlative cellular experimental data, particularly concerning the molecular mechanisms through which lactate modulates metabolic pathways. In the realm of tumor immunity, lactate is recognized for its inhibitory effect on T cell proliferation (<xref ref-type="bibr" rid="B38">38</xref>). Moreover, lactic acid is shown to induce the differentiation of CD4+ cells into Treg cells (<xref ref-type="bibr" rid="B40">40</xref>) and the maturation of CD8+ cells into a memory phenotype (<xref ref-type="bibr" rid="B41">41</xref>). Additionally, lactic acid stimulates neutrophils to increase PD-L1 expression, thereby inhibiting T-cell-mediated tumor killing (<xref ref-type="bibr" rid="B42">42</xref>). Lactate also impacts macrophage function by disrupting polarization (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>), promoting the secretion of high-mobility group box protein (HMGB) to enhance tumor cell proliferation (<xref ref-type="bibr" rid="B44">44</xref>), and modulating the secretion of IL-1&#x3b2; by macrophages, which in turn influences the intricate interplay between tumor cell and macrophage recruitment (<xref ref-type="bibr" rid="B45">45</xref>). Collectively, these immunologically relevant findings underscore the multifaceted role of lactic acid in suppressing T cell tumoricidal functions, promoting macrophage polarization towards the M2 phenotype, and regulating the immunomodulatory interactions between macrophages and tumor cells, all of which are critical in the context of immune evasion. A new wave of technologies, such as poly-omics, provides a multidimensional perspective for studying tumor metabolism. At the transcriptome level, researchers have been able to identify a range of genes regulated by lactate, which are involved in a number of key processes such as cell cycle regulation, signal transduction, and metabolic reprogramming. At the metabolome level, researchers were able to accurately measure changes in the concentration of lactate and its related metabolites in tumor tissues, and found that lactate not only accumulates as a metabolite, but also participates in the feedback regulation of multiple metabolic pathways. In addition, the combination of metabolomics and genetics can reveal the link between metabolism and genetics and the potential mechanism of action, providing new perspectives for the discovery of novel drug targets and understanding of the underlying disease mechanisms (<xref ref-type="bibr" rid="B131">131</xref>). Whether lactylation modifications can also occur in RNA and DNA and thus promote tumor development or tumor therapy resistance is also a question to be explored in the future. Advances in mass spectrometry and high-throughput screening technologies may be a breakthrough in addressing these questions, which will be of great significance in defining the scope of lactylation and understanding tumor immunoregulation (<xref ref-type="bibr" rid="B132">132</xref>). In addition to the role of novel genomics technologies in studying the mechanisms by which lactate affects tumor progression and immune function, wearable devices integrated into hospital IT systems in clinical settings are also useful for monitoring lactate levels as a predictor of disease progression in patients. Lactate is now used clinically as a predictor of survival in critically ill patients, making continuous lactate monitoring essential (<xref ref-type="bibr" rid="B133">133</xref>, <xref ref-type="bibr" rid="B134">134</xref>).</p>
<p>The association between lactate and pain is widely acknowledged, with the prevailing belief being that the accumulation of lactate is a precursor to pain. Empirical evidence has confirmed that lactate levels are indeed elevated in patients who report pain compared to asymptomatic individuals (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>). The presumed mechanism involves lactate accumulation activates acidic injury receptors, contributing to pain perception (<xref ref-type="bibr" rid="B81">81</xref>). However, emerging research challenges this notion, positing that lactate alone is insufficient to elicit pain and only induces fatigue and pain when co-injected with ATP and H+ intramuscularly (<xref ref-type="bibr" rid="B83">83</xref>). This challenges the established view of lactate as a significant pain inducer, indicating that the underlying mechanisms are more complex and remain to be fully elucidated. Recent studies have also highlighted the role of lactic acid in inducing pain through the stimulation of associated neurons. The inhibition of the lactate transporter protein MCT4 in the dorsal root ganglion (DRG) of sensory neurons has been shown to modulate neuronal excitation and induce pain (<xref ref-type="bibr" rid="B84">84</xref>). Moreover, the exchange of lactate between astrocytes and neurons has been identified as an effective strategy for mitigating chronic pain (<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). The synaptic accumulation of lactate is suggested to induce downstream neuronal death, contributing to central sensitization and the perpetuation of chronic pain (<xref ref-type="bibr" rid="B87">87</xref>). Furthermore, the exploration into the regulatory role of pain on lactate levels begins with the activation of the hypothalamic-pituitary-adrenal-thyroid-gonadal (HPATG) axis in response to pain. Progesterone&#x2019;s involvement in lactate regulation is suggested; however, studies by Tomoka et&#xa0;al. (<xref ref-type="bibr" rid="B91">91</xref>) and Dragutinovic et&#xa0;al. (<xref ref-type="bibr" rid="B92">92</xref>) report contrasting findings regarding progesterone&#x2019;s effect on lactate levels, potentially attributable to variations in exercise intensity and lactate testing duration between the studies. Further investigation is warranted to clarify these discrepancies. Marwali et&#xa0;al. demonstrated that exogenous thyroid supplementation does not influence lactate levels (<xref ref-type="bibr" rid="B94">94</xref>), a finding that appears to contradict the known role of thyroid hormones in enhancing glucose metabolism and, by extension, the expected impact on lactate metabolism.</p>
<p>Concluding our investigation, we assessed the impact of anesthetics on serum lactate levels among surgical patients. Our analysis revealed that the influence of Propofol and Ketamine on lactate concentrations is inconsistent across various studies, whereas Dexmedetomidine and Lidocaine exhibit a more predictable pattern, typically leading to a reduction in serum lactate levels. In the context of cancer patients, Propofol demonstrates a differential effect on lactate regulation, effectively preventing the progression of lung and ovarian cancers, yet showing no discernible anticancer activity against brain cancers. Dexmedetomidine not only lowers serum lactate levels but also curbs the invasiveness and migratory capabilities of glioblastoma cells. While Lidocaine has proven effective in diminishing lactate levels, its potential impact on cancer progression remains unexplored. For a comprehensive overview of how anesthetics modulate lactate levels and influence cancer outcomes, refer to <xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref> and <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref>.</p>
<p>Overall, our review summarizes the role of lactate in tumor metabolism, tumor immunity and tumor progression, and finds that it may serve as a marker of malignant tumor progression. By exploring the interactions between pain and lactate, we found that lactate is not traditionally thought to be a single factor in triggering pain, but may induce pain by stimulating injury receptors as well as the nervous system. There are few studies that have investigated the mechanisms of lactate modulation by pain due to limitations in research thinking. Future investigations in this area should be increased, which will contribute to unravelling the blueprint of pain-lactate interactions and advancing the pleiotropic nature of pain treatment. While summarizing the studies on anesthetics on lactate and tumor progression, we found that Dexmedetomidine may be a promising drug for future anesthesia for oncology patients, not only to alleviate cancer pain but also to effectively reduce lactate levels to prevent cancer progression. Based on these findings, it is feasible to incorporate interventions targeting lactate metabolism, pain management, and anesthesia selection in order to develop a more effective integrated oncology treatment plan. For example, LDH and MCT inhibitors can reduce lactate production in tumor cells, thereby inhibiting tumor growth and invasion, suggesting that lactate metabolism-related enzyme inhibitors may have clinical applications to slow tumor progression. In addition, since some anesthetics may affect the energy metabolism of tumor cells, prompting the cells to shift to anaerobic glycolysis, thereby increasing lactate production, careful consideration is needed when&#xa0;selecting anesthetic drugs for tumor patients with abnormal&#xa0;lactate metabolism. Some anesthetic drugs, such as Dexmedetomidine, may have some antitumor effects and are able to reduce lactate levels to inhibit cancer progression; therefore, Dexmedetomidine may be a more appropriate choice for anesthesia and multimodal analgesia in tumor patients with abnormal lactate metabolism.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>QL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AO: Writing &#x2013; original draft. YC: Writing &#x2013; review &amp; editing. YL: Visualization, Writing &#x2013; original draft. BZ: Visualization, Writing &#x2013; original draft. SD: Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We extend our sincere gratitude to BioRender.com for providing the graphical abstract creation tool utilized in this study.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<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 id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s10" 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>
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