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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2024.1495068</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of hypoxia and reoxygenation on energy metabolism, immune response, and apoptosis in orange-spotted grouper (<italic>Epinephelus coioides</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Yuxin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Yiran</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yukun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Zhide</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Yonghao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Yuwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Qiaoyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Along</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2840162"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shu</surname>
<given-names>Hu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>School of Life Sciences, Guangzhou University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Agro-Tech Extension Center of Guangdong Province</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tao Wang, Nanjing Normal University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Basanta Kumar Das, Central Inland Fisheries Research Institute (ICAR), India</p>
<p>Adnan H. Gora, Central Marine Fisheries Research Institute (ICAR), India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Along Gao, <email xlink:href="mailto:algao@gzhu.edu.cn">algao@gzhu.edu.cn</email>; Hu Shu, <email xlink:href="mailto:shuhu001@126.com">shuhu001@126.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1495068</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Wu, Lin, Lin, Huang, Yu, Ma, Feng, Chen, Gao and Shu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Wu, Lin, Lin, Huang, Yu, Ma, Feng, Chen, Gao and Shu</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>Hypoxia is an unfavorable environmental condition that produces diverse negative effects in fish. High-density cultures of <italic>Epinephelus coioides</italic> are more likely to experience hypoxic conditions than those in natural environments. To assess the effects of hypoxia on <italic>E. coioides</italic>, we examined the related enzyme activities and gene expression after 48 h of hypoxia and 24 h of dissolved oxygen (DO) recovery. Under hypoxic stress (DO: 1.2 &#xb1; 0.1 mg/L), the energy supply mode of fish changed from aerobic metabolism to anaerobic metabolism, and the serum glucose content and lactate dehydrogenase activity were significantly upregulated. Total protein, hepatic glycogen, and two key regulatory enzymes (i.e., hexokinase and pyruvate kinase) were differentially expressed in the liver, and mRNA expression of three genes (i.e., <italic>LDHA</italic>, <italic>GLUT1</italic>, and <italic>MCT2</italic>) also showed a high expression trend. In serum, three immune-related enzymes (i.e., alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase) were found to be involved in regulation by hypoxia and showed different levels of changing patterns. Expression of inflammatory genes (i.e., <italic>IL-8</italic>, <italic>IFN&#x3b3;</italic>, <italic>MyD88</italic>, and <italic>NF-kB</italic>) were significantly regulated in liver. With prolongation of hypoxic stress, high expression of apoptotic genes (i.e., <italic>p53</italic>, <italic>Bax</italic>, <italic>Bcl-2</italic>, and <italic>Caspase-9</italic>) was closely related to the degree of apoptosis in the liver. Our investigation of the changes in energy metabolism, immune response, and apoptosis of <italic>E. coioides</italic> under hypoxia and reoxygenation (DO, 6.0 &#xb1; 0.1 mg/L) provides a theoretical bases for healthy aquaculture and selection of varieties with tolerance to hypoxia.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Epinephelus coioides</italic>
</kwd>
<kwd>hypoxia</kwd>
<kwd>reoxygenation</kwd>
<kwd>energy metabolism</kwd>
<kwd>immune response</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="12"/>
<word-count count="5323"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Aquatic Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Dissolved oxygen (DO) concentrations in water bodies fluctuate significantly due to global warming, seasonal variations, aquatic plant photosynthesis, water body eutrophication, and aquaculture densities (<xref ref-type="bibr" rid="B5">Breitburg and Levin, 2018</xref>; <xref ref-type="bibr" rid="B28">Klaus et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Qiu et&#xa0;al., 2024</xref>). After reaching a certain water depth, the DO concentration decreases with an increase in vertical height and sedimentation of decomposed organic matter (<xref ref-type="bibr" rid="B74">Zhai et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B68">Xie et&#xa0;al., 2022</xref>). The DO concentration is an important water quality indicator and an important factor for maintaining life activities of fish. The higher the DO concentration in a water body, the more beneficial it is to the activities of aquatic animals (<xref ref-type="bibr" rid="B24">Jeong et&#xa0;al., 2024</xref>). Oxygen deficiencies in nearshore coastal areas are increasing globally, causing irreversible negative effects on the fish farming industry (<xref ref-type="bibr" rid="B12">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B14">Domenici et&#xa0;al., 2017</xref>).</p>
<p>DO is not only directly related to fish habitat distribution and environmental homeostasis but also affects fish population structure (<xref ref-type="bibr" rid="B64">Wannamaker and Rice, 2000</xref>), behavior (<xref ref-type="bibr" rid="B75">Zhang et&#xa0;al., 2010</xref>), growth (<xref ref-type="bibr" rid="B21">He et&#xa0;al., 2022</xref>), migration (<xref ref-type="bibr" rid="B4">Boussinet et&#xa0;al., 2024</xref>), reproduction (<xref ref-type="bibr" rid="B52">Saha et&#xa0;al., 2022</xref>), and disease resistance (<xref ref-type="bibr" rid="B15">Evans et&#xa0;al., 2003</xref>). Prolonged hypoxia can lead to fish mortality (<xref ref-type="bibr" rid="B1">Abdel-Tawwab et&#xa0;al., 2019</xref>). Normal cells obtain energy through aerobic respiration; however, when the oxygen supply is insufficient, the respiratory mode shifts to anaerobic respiration, which consumes glucose and produces large amounts of lactic acid metabolites (<xref ref-type="bibr" rid="B9">Cuninghame et&#xa0;al., 2017</xref>). To adapt to low oxygen stress, fish enhance their anaerobic metabolic patterns to replenish the energy required for life activities (<xref ref-type="bibr" rid="B57">Sun et&#xa0;al., 2021</xref>).</p>
<p>Fish often activate various pathways to regulate homeostasis, and in addition to regulating energy metabolism patterns, apoptosis is also activated, which helps fish maintain relative homeostasis under hypoxic stress conditions (<xref ref-type="bibr" rid="B47">Qiang et&#xa0;al., 2020</xref>). Reactive oxygen species (ROS), which are small molecules with high activity, have irreversible effects on intracellular proteins, lipids, and DNA. Under hypoxic conditions, accumulated ROS may not be eliminated rapidly, leading to severe cellular damage and enhancing the autophagy signal of organic cells (<xref ref-type="bibr" rid="B53">Scherz-Shouval and Elazar, 2011</xref>; <xref ref-type="bibr" rid="B69">Yang et&#xa0;al., 2018</xref>). Genomic analyses have shown that continuous hypoxia induces signaling pathways associated with cytoprotection, immune regulation, and energy metabolism in fish (<xref ref-type="bibr" rid="B60">Wang et&#xa0;al., 2023</xref>). This indicates that hypoxia can significantly affect the physiological and immune responses of fish, making them more susceptible to diseases (<xref ref-type="bibr" rid="B1">Abdel-Tawwab et&#xa0;al., 2019</xref>). Previous studies have found that the hypoxia-inducible factor (HIF) signaling pathway is a key pathway for maintaining oxygen homeostasis in tissues and cells under hypoxia, with the hypoxia-inducible factor (<italic>HIF-1&#x3b1;</italic>) being a central regulatory gene in this pathway (<xref ref-type="bibr" rid="B3">Bayele et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B43">Palazon et&#xa0;al., 2014</xref>). A study on <italic>Megalobrama amblycephala</italic> showed that hypoxia may induce apoptosis by enhancing the HIF pathway and hence activating downstream pathways (<xref ref-type="bibr" rid="B73">Yu et&#xa0;al., 2023</xref>). Studies on the function of the <italic>HIF</italic>-1&#x3b1; gene revealed its involvement in immune regulation of <italic>Siniperca chuatsi</italic> against diseases (<xref ref-type="bibr" rid="B20">He et&#xa0;al., 2019</xref>). Hypoxic stress directly causes apoptosis and alterations in immune function by activating the HIF pathway (<xref ref-type="bibr" rid="B18">Guo and Tan, 2019</xref>).</p>
<p>
<italic>Epinephelus coioides</italic> is an economically important farmed fish in Southeast Asia and a major container-farmed fish in China, with advantages of appealing taste and rich nutritional value, making it popular among consumers (<xref ref-type="bibr" rid="B72">Yu et&#xa0;al., 2018</xref>). However, with popularization of high-density container aquaculture models, the <italic>E. coioides</italic> aquaculture industry is facing the problem of low DO concentrations in water bodies (<xref ref-type="bibr" rid="B65">Wen et&#xa0;al., 2016</xref>). To address the hypoxia in water bodies caused by high stocking density and high nutrient input, and to elucidate the hypoxia regulation mechanisms of <italic>E. coioides</italic>, we conducted the study with <italic>E. coioides</italic> as the research subject. In the study, we examined enzyme activities and gene expressions in serum and the liver to evaluate the changes in energy metabolism, immune response, and apoptosis under low-oxygen conditions [DO: 1.2 &#xb1; 0.1 mg/L (hypoxia)] and normal conditions [6.0 &#xb1; 0.1 mg/L (normoxia)], providing a theoretical basis for the selection and breeding of new hypoxia-tolerant <italic>E. coioides</italic> varieties.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Healthy experimental fish farming</title>
<p>Experiments were conducted at the Shenzhen Experimental Base of the South China Sea Fisheries Research Institute of the Chinese Academy of Fisheries Sciences. <italic>E. coioides</italic> (body weight, 15 &#xb1; 3 g; total length, 10 &#xb1; 2 cm) were domesticated for 2 weeks in recirculating water aquaculture tanks (110-cm diameter and 120-cm height). Fish were kept at 28&#xb0;C &#xb1; 1&#xb0;C in seawater and acclimatized with no bacterial or viral infection. The culture water salinity was 32 &#xb1; 1 ppt, and the DO concentration was 6.0 &#xb1; 0.1 mg/L, as measured using a water quality analyzer (LB-YSI, USA). During the domestication process, fish were fed commercial feed twice daily at a rate of 3% of the total weight of fish in each tank. All animal handling procedures and experimental protocols of the Experimental Animal Ethics Committee of the Guangzhou University of China were followed.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Hypoxia experiment and sample collection</title>
<p>The experimental procedure is illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The experiment was set up with a normoxic control group, a hypoxic experimental group, and three parallel tanks in each group. The domesticated <italic>E. coioides</italic> were placed in six tanks, with 36 fish in each tank. Hypoxic treatment was according to our previous studies (<xref ref-type="bibr" rid="B29">Lai et&#xa0;al., 2022</xref>). Briefly, we stopped the circulating water, lowered the water level to approximately 30 cm, sealed the plastic film, and filled the water with nitrogen instead of oxygen. Then, when the DO concentration reached approximately 1.2 mg/L, we supplemented the water to match the level of the control group. This was a dynamic process; in order to maintain the DO of the water at 1.2 &#xb1; 0.1 mg/L, the circulating water and nitrogen were filled at the same time. The DO concentration in the three parallel experimental tanks in the hypoxia group decreased to the semi-lethal concentration (1.2 &#xb1; 0.1 mg/L) within 30 min. The dynamic DO concentration was constantly measured using a DO meter. The DO level of the hypoxia experiment was maintained at 1.2 &#xb1; 0.1 mg/L for 48 h. At the individual level, fish in hypoxic tanks reduced their swimming frequency to further decrease oxygen consumption, and at the same time, they surfaced to obtain more oxygen. They adapted to the hypoxic environment in this manner. After the 48-h hypoxia experiment, circulating water was immediately turned on and the oxygen pump was placed in the tank to increase the DO concentration to the normal level (6.0 &#xb1; 0.1 mg/L) for 24 h of recovery.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Experimental design and flowchart. This diagram was drawn by Figdraw.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g001.tif"/>
</fig>
<p>During the experiment, serum and liver samples were collected after 0 h (H0), 3 h (H3), 6 h (H6), 12 h (H12), 24 h (H24), and 48 h (H48) of hypoxia and 24 h of reoxygenation (R24). Three healthy fish were collected from each tank at each time point to obtain parallel samples. At this point, 0 h was the time when the DO concentration decreased to the desired low concentration. Livers for quantitative polymerase chain reaction (PCR) analysis were immediately placed into cryopreservation tubes containing RNA Keeper Tissue Stabilizer (Novozymes, Nanjing, China). Liver samples for enzyme activity measurements were rinsed with 0.9% physiological saline and dipped in filter paper before being placed into cryopreservation tubes. Tail vein blood was used to collect plasma, which was centrifuged after standing on ice for 4 h. The supernatant was then aspirated to obtain serum samples. The above samples were stored at &#x2212;80&#xb0;C for subsequent analysis.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Measurement of indices and enzyme activities</title>
<p>Serum samples used for enzyme activity determination were first three-mixed with 1, i.e., three fish sera from the same culture tank were mixed. Three replicate experiments were performed. Glucose (GLU: A154-1-1), lactate dehydrogenase (LDH: A020-2-2), and immunoenzymatic activities in serum samples were determined using enzyme activity kits. Alkaline phosphatase (AKP: A059-2-2), aspartate aminotransferase (AST: C010-2-1), and alanine aminotransferase (ALT: C009-2-1) were measured using a multifunctional enzyme labeling instrument (Infinite<sup>&#xae;</sup> 200 PRO, Switzerland).</p>
<p>Determination of liver enzyme activity was conducted using enzyme activity kits, including protein quantification [total protein (TP): A045-2-2), glycogen (glycogen: A043-1-1), pyruvate kinase (PK: A076-1-1), and hexokinase (HK: A077-3-1)]. Tissue samples were pre-treated according to the instruction manual, and the samples were three-mixed with 1 and set up in triplicate. The four indices were measured using a UV-visible spectrophotometer (UV1810; Shanghai, China). All kits were obtained from Nanjing Jiancheng Bioengineering Institute (Nanjing, China).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Measurement of mRNA levels using real-time qPCR</title>
<p>Total RNA was extracted from liver samples using RNA isolate Total RNA Extraction Reagent (Vazyme, Nanjing, China), and absorbance of the products was measured using an ultra-microplate spectrophotometer (BioTek EPOCH, USA). Samples with OD260/280 values in the range of 1.8&#x2013;2.0 were selected as qualified samples, and the integrity of RNA was verified by 1.0% agarose gel electrophoresis. The obtained products were then used to synthesize template cDNA using HiScript<sup>&#xae;</sup> II Q RT SuperMix for qPCR (+gDNA wiper) (Vazyme, Nanjing, China) and were diluted fivefold for real-time fluorescence quantitative PCR (RT-qPCR) detection.</p>
<p>RT-qPCR primers were designed according to the mRNA coding sequence of <italic>E. coioides</italic>, and &#x3b2;-actin was used as a reference. The primers used for qPCR are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. A reaction system was added to a 96-well plate (Monad, Suzhou, China) containing 2 &#xb5;L of cDNA at a concentration of 80 &#xb1; 5 ng/&#xb5;L, 10 &#xb5;L of chamQ Universal SYBR GPCR Master Mix (Vazyme, Nanjing, China), 0.4 &#xb5;L each of forward and reverse primers at a concentration of 10 &#xb5;M, and 7.2 &#xb5;L of RNase-free H<sub>2</sub>O. The program was set to 30 s at 95&#xb0;C, followed by 40 cycles of 10 s at 95&#xb0;C and 30 s at 60&#xb0;C. Finally, a melting curve was obtained after 15 s at 95&#xb0;C, 60 s at 60&#xb0;C, and 15 s at 95&#xb0;C. The final data were calculated using the 2<sup>&#x2212;&#x394;&#x394;CT</sup> method. This process was conducted using a LightCycler<sup>&#xae;</sup> 480 Instrument II (Roche, Switzerland).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primers used in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene Name</th>
<th valign="middle" align="left">Forward Primer</th>
<th valign="middle" align="left">Reverse Primer</th>
<th valign="top" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<italic>&#x3b2;-actin (beat-actin)</italic>
</td>
<td valign="top" align="left">TACGAGCTGCCTGACGGACA</td>
<td valign="top" align="left">GGCTGTGATCTCCTTCTGC</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B29">Lai et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>LDHA (lactate dehydrogenase A)</italic>
</td>
<td valign="top" align="left">CCTAATCCGTACACTCCTTGTCT</td>
<td valign="top" align="left">AGGTACTATCACTGGATTGTGGC</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B29">Lai et&#xa0;al., 2022</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>GLUT-1 (glucose transporter 1)</italic>
</td>
<td valign="top" align="left">TGTATGTGGGTGAGGTTGCC</td>
<td valign="top" align="left">TGAGGATGCCGATGACGA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B32">Liu et&#xa0;al., 2016</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>MCT2 (monocarboxylate transporter 2)</italic>
</td>
<td valign="top" align="left">ACTCCGCAGCCTATCTGCTCT</td>
<td valign="top" align="left">GACCACCAGGAAGGCGTAGC</td>
<td valign="top" align="left">#</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Bax (bcl2-associated X protein)</italic>
</td>
<td valign="top" align="left">ACCAAGAGGCTTGCCCGATG</td>
<td valign="top" align="left">AGTAGAACAGTGCAACCACCCT</td>
<td valign="top" align="left">#</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Bcl-2 (B-cell lymphoma-2)</italic>
</td>
<td valign="top" align="left">ATCGTAGGGCTTTTCGCTTTC</td>
<td valign="top" align="left">CTCCCATCCTCTTTGGCTCTG</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B35">Luo et&#xa0;al., 2017</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>Caspase-9 (apoptosis-related cysteine protease 9)</italic>
</td>
<td valign="top" align="left">TGCCAAGACCCAGCCCTACT</td>
<td valign="top" align="left">TGCGACTACTCAGCTCGCTCT</td>
<td valign="top" align="left">#</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>p53 (tumor suppressor gene p53)</italic>
</td>
<td valign="top" align="left">CGCAACAGGCTTCAATCGT</td>
<td valign="top" align="left">GAAGCATCAGAGGCGAAGA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B46">Qi et&#xa0;al., 2013</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>NF-&#x3ba;B (nuclear factor kappa-B)</italic>
</td>
<td valign="top" align="left">CTTACATTCGCCGCCTCAGT</td>
<td valign="top" align="left">TGCAACAACGCCTTCAAACC</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B76">Zhang et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>IFN&#x3b3; (interferon &#x3b3;)</italic>
</td>
<td valign="top" align="left">GGTTCTGCAGGGACTGAGAG</td>
<td valign="top" align="left">CAATGCTTTGCTCTGGATGA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B41">Nguyen et&#xa0;al., 2023</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>IL-8 (interleukin-8)</italic>
</td>
<td valign="top" align="left">GCCGTCAGTGAAGGGAGTCTAG</td>
<td valign="top" align="left">ATCGCAGTGGGAGTTTGCA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2024</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>MyD88 (myeloid differentiation primary response gene 88)</italic>
</td>
<td valign="top" align="left">GCATTGACGACGAGGCATCCAA</td>
<td valign="top" align="left">GCCGACCAGGAGACAGGAATGA</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B76">Zhang et&#xa0;al., 2024</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>#The primers were designed using Primer-BLAST on NCBI (<ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/tools/primer-blast">https://www.ncbi.nlm.nih.gov/tools/primer-blast</ext-link>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Before the data analysis, we assessed the normality of the data using a P-P plot. The relative expression levels of the target gene were subjected to one-way ANOVA, with Tukey&#x2019;s multiple comparison test used as a <italic>post-hoc</italic> test. The determination of differences between groups was performed using IBM SPSS Statistics 26; <italic>p</italic>-values &lt; 0.05 determined significant difference.</p>
<p>Bar graphs were plotted using Origin 2018 64 Bit.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effects on immunoenzymatic activity in serum</title>
<p>To investigate the effects of hypoxia on immune-related enzymes, we examined the activity of AKP, ALT, and AST (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The peak ALT activity only appeared at H3, and its expression in the experimental group was 2.19-fold higher than that in the control group (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). AST was highly expressed throughout the entire experiment, and the peak appeared at H3; the difference in the expression of the two groups was 2.04-fold (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). AKP was highly expressed only at H48 and R24 (1.41- and 1.48-fold, respectively) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Expression of serum non-specific immunoenzymatic activity in <italic>E coioides</italic>: <bold>(A)</bold> ALT, <bold>(B)</bold> AST, and <bold>(C)</bold> AKP. Meanings of each abbreviation&#x2019;s capital letter: H, hypoxia; R, reoxygenation. The results were analyzed by SPSS analysis. Data are presented as the mean &#xb1; standard error of mean (SEM) of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Effects of hypoxic stress on inflammatory genes</title>
<p>As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, hypoxic stress resulted in increased mRNA expression levels of interleukin-8 (<italic>IL-8</italic>), interferon &#x3b3; (<italic>IFN&#x3b3;</italic>), myeloid differentiation primary response gene 88 (<italic>MyD88</italic>), and nuclear factor kappa-B (<italic>NF-&#x3ba;B</italic>). In the hypoxia group, <italic>IL-8</italic>, <italic>IFN&#x3b3;</italic>, and <italic>NF-&#x3ba;B</italic> peaked at H6: <italic>IFN&#x3b3;</italic> was highly expressed at H0 and then recovered to a level not significantly different from that of the control group after reaching the peak at H6 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), and <italic>IL-8</italic> and <italic>NF-&#x3ba;B</italic> were significantly elevated at H3 and reached peaks at H6, which were 6.09- and 6.33-fold higher than that of the control group, respectively (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, D</bold>
</xref>). The high expression of <italic>IL-8</italic> and <italic>NF-&#x3ba;B</italic> persisted until the late stage of hypoxia before decreasing to the same level as the control group with body acclimatization and DO restoration. <italic>IFN&#x3b3;</italic>, although preferentially responding to stress, only showed high expression compared to the control group in the pre-experimental period, which was dissimilar to the high expression of <italic>MyD88</italic> at H3 (2.67-fold) and H6 (2.47-fold). Notably, <italic>MyD88</italic> continued to show high expression after DO restoration (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>), which differed from the expression of the other three genes.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Inflammatory response gene expression in liver tissues of <italic>E coioides</italic>: <bold>(A)</bold> <italic>IFN&#x3b3;</italic>, <bold>(B)</bold> <italic>IL-8</italic>, <bold>(C)</bold> <italic>MyD88</italic>, and <bold>(D)</bold> <italic>NF-&#x3ba;B</italic>. The results were analyzed by SPSS analysis. Data were presented as the mean &#xb1; SEM of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Effects on energy metabolism indices in serum</title>
<p>Serum GLU and LDH are involved in the glycolysis process of organisms (<xref ref-type="bibr" rid="B61">Wang et&#xa0;al., 2022</xref>), and the two indexes were significantly higher than those of the control group at the beginning of the experiment. The GLU content started to increase from H0 and slowed after reaching a peak (1.87-fold) at H3. Finally, the cells adapted to 48 h of hypoxia and recovered to the same level as that of the control group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). LDH (i.e., an enzyme that catalyzes lactic acid decomposition) was highly expressed at all time points; the peak appeared at H6 with a 1.84-fold difference in expression (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Plot of lactate dehydrogenase activity and blood glucose levels in serum of <italic>E coioides</italic>: <bold>(A)</bold> GLU and <bold>(B)</bold> LDH. The results were analyzed by SPSS analysis. Data were presented as the mean &#xb1; SEM of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Effects on energy metabolism indices in the liver</title>
<p>TP measurements revealed significant changes in tissue proteins in the hypoxic experimental group at H6 and R24 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). The glycogen content in the liver appeared to decrease at H12, when the fish broke down hepatic glycogen to provide energy. Immediately following the period from H24 to R24, energy storage and the glycogen content in liver increased; at R24, the liver glycogen content of the experimental group was 1.39-fold higher than that of the control group (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). PK and HK, which are directly related to the glycolytic pathway, were both highly expressed at H3; however, after H24, PK activity was restored to the same level as that of the control group (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Conversely, HK activity was downregulated, and its expression did not return to the same level as the control group even after DO recovery (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Plots of total protein content, liver glycogen content, and pyruvate kinase and hexokinase activities in the liver of the <italic>E coioides</italic>: <bold>(A)</bold> TP, <bold>(B)</bold> glycogen, <bold>(C)</bold> PK, and <bold>(D)</bold> HK. The results were analyzed by SPSS analysis. Data are presented as the mean &#xb1; SEM of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Effects of hypoxic stress on energy metabolism genes</title>
<p>mRNA expression levels of three proteins related to energy metabolism, i.e., monocarboxylate transporter 2 (<italic>MCT2</italic>), glucose transporter 1 (<italic>GLUT1</italic>), and recombinant lactate dehydrogenase A (<italic>LDHA</italic>), were analyzed in the liver and all exhibited elevated expression levels. <italic>MCT2</italic> was significantly upregulated from H0 to R24 and reached a peak at H6 with 6.5-fold (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). <italic>GLUT1</italic> was highly expressed from H0 to H48, and peaked at H12, with 16.17-fold higher expression than that of the control group (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). <italic>LDHA</italic> showed high expression from H3 to H24, and its peak expression at H6 was 25.69-fold higher than that in the control group (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). <italic>GLUT1</italic> and <italic>LDHA</italic> were gradually restored to normal levels with prolonged stress and DO recovery.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Expression of energy metabolism genes in liver tissues of <italic>E coioides</italic>: <bold>(A)</bold> <italic>MCT2</italic>, <bold>(B)</bold> <italic>GLUT1</italic>, and <bold>(C)</bold> <italic>LDHA</italic>. The results were analyzed by SPSS analysis. Data are presented as the mean &#xb1; SEM of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Effects of hypoxic stress on apoptotic genes</title>
<p>Acute hypoxic stress results in elevated mRNA expression levels of bcl2-associated X protein (<italic>Bax</italic>), B-cell lymphoma-2 (<italic>Bcl-2</italic>), apoptosis-related cysteine protease 9 (<italic>Caspase-9</italic>), and the tumor suppressor gene p53 (<italic>p53</italic>). All four apoptosis-related regulatory genes showed high expression in the liver, which was significantly different from that in the control group at H3, and all reached a peak at H6 (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Notably, <italic>p53</italic> showed low expression at the beginning of the hypoxia experiment and then continued to increase, reaching a peak at H6 with 2.52-fold higher expression than that of the control group, and recovered to the same level as the control group at H24 (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). <italic>Bax</italic> and <italic>Bcl-2</italic> showed higher expression than the control group from H3&#x2212;H48 and recovered to the same level as the control group after DO recovery. Expression peaks of <italic>Bax</italic> and <italic>Bcl-2</italic> appeared at H6, which were 4.05- and 8.85-fold higher than that of the control group, respectively (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7B, C</bold>
</xref>). <italic>Caspase-9</italic> also showed significantly higher expression from H3, reaching a peak of 4.53-fold higher expression than that of the control group at H6, and recovered at H48 (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Expression of apoptosis-regulated genes in liver tissues of <italic>E coioides</italic>: <bold>(A)</bold> <italic>p53</italic>, <bold>(B)</bold> <italic>Bax</italic>, <bold>(C)</bold> <italic>Bcl-2</italic>, and <bold>(D)</bold> <italic>Caspase-9</italic>. The results were analyzed by SPSS analysis. Data are presented as the mean &#xb1; SEM of three individual fish (n = 3). Asterisks (<italic>*</italic>) indicate significant differences (<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1495068-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Oxygen-sensing signaling pathways enhance tolerance to hypoxia by activating transcription or repressing translation. Fish tended to respond to the stimulation of low DO by enhancing immune defense mechanisms, a finding consistent with studies on <italic>Pseudobagrus ussuriensis</italic> (<xref ref-type="bibr" rid="B33">Liu et&#xa0;al., 2024</xref>) and <italic>Larimichthys crocea</italic> (<xref ref-type="bibr" rid="B59">Wang et&#xa0;al., 2017</xref>). Recently, enormous economic losses have occurred due to the frequent occurrence of hypoxia in marine environments (<xref ref-type="bibr" rid="B56">Sobocinski et&#xa0;al., 2018</xref>). Therefore, in this study, we investigated the effects of hypoxic stress on energy metabolism, immune responses, and apoptosis in orange-spotted groupers.</p>
<p>Activity of AST, ALT, and AKP enzymes in extracellular fluid or serum is a sensitive indicator of liver function, and when elevated, it is suggestive of minor cellular damage or stressful tissue injury. They are also key indicators of the nutritional and health status of animals (<xref ref-type="bibr" rid="B42">Palanivelu et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B2">Akbary et&#xa0;al., 2018</xref>). ALT and AST are positively correlated with the lysis of hepatocytes and generally accepted as relevant stress indicators as biomarkers for the diagnosis of liver function damage (<xref ref-type="bibr" rid="B10">Dassarma et&#xa0;al., 2018</xref>). When animals&#x2019; liver was damaged and hepatic cells are broken, ALT and AST in hepatic cells would be elevated in the blood (<xref ref-type="bibr" rid="B54">Sheikhzadeh et&#xa0;al., 2011</xref>). Activities of AST, ALT, and AKP are susceptible to hypoxia (<xref ref-type="bibr" rid="B30">Li et&#xa0;al., 2022</xref>). Hypoxia induces increased AST and ALT activities in <italic>Sebastes schlegelii</italic> (<xref ref-type="bibr" rid="B25">Jia et&#xa0;al., 2023</xref>). As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, hypoxic stress resulted in high AST levels in serum, which has also been reported in <italic>Hyphessobrycon callistus</italic> (<xref ref-type="bibr" rid="B44">Pan et&#xa0;al., 2010</xref>), suggesting that AST is more sensitive to hypoxic stress. AKP plays a protective role in physiological functions and immune defense, and elevated AKP activity in serum indicates impaired cell membrane permeability and integrity, leading to cellular damage and host hepatobiliary inflammation (<xref ref-type="bibr" rid="B31">Lin et&#xa0;al., 2015</xref>). Consequently, fish function could not be restored to the same level as that of the control group after DO restoration, which was the reason for the high AKP expression in serum at H48 and R24, suggesting that the liver had already suffered a more severe inflammatory injury at this time. The increased AKP activity, which is used as an indicator of immune status, also showed modulation of fish immunity by hypoxia (<xref ref-type="bibr" rid="B49">Ren et&#xa0;al., 2022</xref>). These results suggested that <italic>E. coioides</italic> activated an immune response to hypoxic stress.</p>
<p>Enzyme expression in serum suggested that hypoxia led to a significant immune response in the fish, which was confirmed by the expression of inflammatory factor mRNAs. Interferons (IFNs) and interleukins (ILs) are important factors in the immune system; <italic>IFN&#x3b3;</italic> is a type of excreted protein that induces antiviral activity and is involved in apoptosis and cellular immunity regulation (<xref ref-type="bibr" rid="B71">Yang et&#xa0;al., 2017</xref>), and <italic>IL-8</italic> acts as a chemokine that primarily mediates activity of neutrophils, T-lymphocytes, and basophils <italic>in vitro</italic> (<xref ref-type="bibr" rid="B66">Whyte, 2007</xref>). In zebrafish, hypoxia regulates the migration of neutrophils to the injured site to play an inflammatory response by upregulating the expression of IL8. The long-term effects of hypoxia were regulated by increasing the phosphorylation of ERK (<xref ref-type="bibr" rid="B19">He et&#xa0;al., 2022</xref>). In our experiments, <italic>IFN&#x3b3;</italic> showed a peak from H0&#x2212;H6 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), and <italic>IL-8</italic> showed high expression from H3&#x2212;H24 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), suggesting that the reduction in DO exacerbated the inflammatory response, which is similar to experimental results in <italic>Danio rerio</italic> (<xref ref-type="bibr" rid="B19">He et&#xa0;al., 2022</xref>) and <italic>Oreochromis niloticus</italic> (<xref ref-type="bibr" rid="B11">Dawood et&#xa0;al., 2021</xref>). Unlike <italic>IFN&#x3b3;</italic> and <italic>IL-8</italic> expression, the <italic>MyD88</italic> gene not only showed high expression at H3 and H6 but also showed increased expression after reoxygenation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). <italic>NF-&#x3ba;B</italic> can be activated by <italic>MyD88</italic> as a downstream molecule, and we found that <italic>NF-&#x3ba;B</italic> was significantly expressed throughout the hypoxia phase (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). <italic>NF-&#x3ba;B</italic> is a protein complex that controls transcription of many genes and is involved in cellular responses to stimuli such as external environmental stresses, ROS, and cytokines (<xref ref-type="bibr" rid="B38">Moniruzzaman et&#xa0;al., 2018</xref>). Notably, <italic>NF-&#x3ba;B</italic> can induce transcriptional expression of <italic>HIF-1&#x3b1;</italic>, which is involved in the function of innate immunity and inflammatory response in hypoxic environments (<xref ref-type="bibr" rid="B51">Rius et&#xa0;al., 2008</xref>). Our previous studies also found that hypoxia-induced <italic>HIF-1&#x3b1;</italic> expression (<xref ref-type="bibr" rid="B67">Wu et&#xa0;al., 2023</xref>). This result indicated that hypoxia induces the expression of NF-&#x3ba;B, promotes the expression of HIF-1&#x3b1;, and thereby regulates hypoxia stress. Together, these results indicated that hypoxia activated the immune response by upregulating cytokines.</p>
<p>Results from previous transcriptomic analyses of fish livers have shown that hypoxic stress alters the energy metabolic pattern of oxidative phosphorylation in fish, which tends to enhance glycolysis/gluconeogenesis and pyruvate metabolism pathways (<xref ref-type="bibr" rid="B45">Qi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B13">Ding et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B29">Lai et&#xa0;al., 2022</xref>). During anaerobic glycolysis, sugars are first broken down into glucose, which is then catalyzed by the enzyme LDH to catalyze the primary product (i.e., pyruvate) into lactic acid and produce ATP (<xref ref-type="bibr" rid="B37">Mizock, 1995</xref>). The gene <italic>HIF-1&#x3b1;</italic>, which is closely related to hypoxia, serves as an important factor in glucose metabolism that also activates a variety of enzymes required for glycolysis (e.g., LDA) under hypoxic conditions (<xref ref-type="bibr" rid="B70">Yang et&#xa0;al., 2019</xref>). Higher blood glucose levels during hypoxic exposure suggested that glucose metabolism played an important role in energy supply under hypoxic stress (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The high LDH expression in serum also showed that anaerobic glycolysis pattern was continued until DO recovery (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). These results implied that the energy supply under hypoxic conditions may have involved the anaerobic glycolysis pathway.</p>
<p>Under hypoxia, major energy-demanding processes (e.g., protein synthesis) shut down rapidly before expression of proteins required for ATP production is enhanced, indicating that hypoxia triggers metabolic inhibition (<xref ref-type="bibr" rid="B6">Catz and Johnson, 2001</xref>). We found that TP in the liver decreased significantly after H6 and increased significantly at R24 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). It has been suggested that the total amount of tissue functional proteins in the liver may be affected by hypoxic stress at these two time points (<xref ref-type="bibr" rid="B16">Gracey and Somero, 2001</xref>). Because a 6-h period is a critical time for metabolic changes and cellular imbalance, protein inactivation and damage may have occurred during this time, or energy expenditure may have been reduced by shutting down protein synthesis pathways, which was also shown in <italic>Trachinotus ovatu</italic>s (<xref ref-type="bibr" rid="B62">Wang and Wu, 2024</xref>). Hepatic glycogen is an important component of energy storage systems. However, the results of the present study showed that hepatic glycogen levels were significantly reduced at H12 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). We hypothesize that hepatic glycogen was degraded into glucose to maintain life activities. From H24 until R24, the hepatic glycogen content increased as the fish continued to enhance anaerobic glycolysis for energy supply. This increase was a regulation of energy storage that occurred in fish in response to prolonged hypoxia, and promotion of fish recovery, which was also observed in <italic>Carassius auratus</italic> (<xref ref-type="bibr" rid="B36">Mandic et&#xa0;al., 2008</xref>). Hepatic glycogen degradation is also inhibited in hypoxia-tolerant <italic>Trachinotus blochii</italic> under hypoxic conditions (<xref ref-type="bibr" rid="B50">Resende and Mauro Carneiro Pereira, 2022</xref>). <italic>Eirocheir sinensis</italic> showed increased liver glycogen levels after 24 h of hypoxic stress (<xref ref-type="bibr" rid="B8">Chen et&#xa0;al., 2023</xref>). HK and PK (i.e., the key enzymes of glycolysis) showed high expression during short periods of hypoxic stress (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5C, D</bold>
</xref>), which was also observed in <italic>Pelteobagrus fulvidraco</italic> (<xref ref-type="bibr" rid="B61">Wang et&#xa0;al., 2022</xref>). The low HK expression in liver at H24, in conjunction with the glycolytic pathway, suggested that HK acted as the &#x201c;inlet&#x201d; of glucose into glycolysis and PK acted as the &#x201c;outlet&#x201d; (<xref ref-type="bibr" rid="B39">Ng et&#xa0;al., 2022</xref>). The decrease in HK expression implied a tightening of the inlet, and PK expression did not increase. Considering that the aerobic glycolytic pathway was weakened at this point, anaerobic glycolysis becomes the dominant mode of metabolism. These results further suggested that carbohydrates were stored after hypoxic stress to provide energy substrates for different tissues.</p>
<p>Monocarboxylate transporters (MCTs) can help move lactate across cell membranes and thus redistribute carbohydrates (<xref ref-type="bibr" rid="B40">Ngan and Wang, 2009</xref>). In the present study, <italic>MCT2</italic> expression appeared high during both hypoxic stress and recovery phases, which was related to its involvement in regulation of both aerobic and anaerobic metabolism (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). <italic>GLUT1</italic> (i.e., a anaerobic metabolism marker gene) is a downstream target gene of <italic>HIF-1&#x3b1;</italic>, and <italic>GLUT1</italic> also shows a high expression pattern in <italic>Micropterus salmoides</italic> (<xref ref-type="bibr" rid="B71">Yang et&#xa0;al., 2017</xref>) and <italic>Rachycentron canadum</italic> (<xref ref-type="bibr" rid="B63">Wang et&#xa0;al., 2019</xref>) under hypoxia (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The upregulation of GLUT-1 exposed to acute hypoxia effectively increased glucose uptake and maintained energy supplementation in hypoxic conditions (<xref ref-type="bibr" rid="B71">Yang et&#xa0;al., 2017</xref>). From H3&#x2212;H24 in the present study, <italic>LDHA</italic> expression in liver increased (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), suggesting that anaerobic glycolysis functioned in liver at this stage, which is similar to the results in <italic>M. salmoides</italic> (<xref ref-type="bibr" rid="B70">Yang et&#xa0;al., 2019</xref>). The enzyme activities and genes discussed above suggested that the hypoxia-induced metabolic pattern shifted from aerobic to anaerobic.</p>
<p>With prolonged hypoxia treatment, the apoptotic index increased, and the expression of apoptotic genes (<italic>p53</italic>, <italic>Bax</italic>, <italic>Bcl-2</italic>, and <italic>Caspase-9</italic>) was closely related to the degree of tissue necrosis. In black rockfish, hypoxia stress impaired hepatic antioxidant capacity, induced oxidative damage and apoptosis via the p53-bax-bcl2 and the caspase-dependent pathways, but enhanced host immunity by regulating AST and ALT activity and related gene expression to maintain homeostasis (<xref ref-type="bibr" rid="B25">Jia et&#xa0;al., 2023</xref>). Hypoxia significantly increased apoptosis in the liver of <italic>Pelteobagrus vachelli</italic> (<xref ref-type="bibr" rid="B77">Zheng et&#xa0;al., 2021</xref>). <italic>p53</italic> is associated with the cell cycle and can activate downstream genes to bind to the cell cycle protein&#x2013;CDK complex and inhibit protein kinase activity, thereby blocking normal cell cycle progression (<xref ref-type="bibr" rid="B23">Imamura et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B27">Jones et&#xa0;al., 2005</xref>). Hypoxia-inducible factors and <italic>p53</italic> regulate each other, and the transcription of these two genes demonstrates the competition law. Initially, with the increasing degree of hypoxia, <italic>p53</italic> gradually tended to be enriched from an unstable form and occupied a key position in determining cell fate; however, it was degraded again when sustained high expression of <italic>HIF-1&#x3b1;</italic> occurred, which is consistent with the experimental process when <italic>p53</italic> appeared to have low expression at the first experimental node and was subsequently sustained and elevated (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). Furthermore, <italic>p53</italic> that is fully activated by <italic>HIF-1&#x3b1;</italic> simultaneously activates the downstream gene <italic>Bax</italic>, which jointly promotes cell apoptosis (<xref ref-type="bibr" rid="B58">Wang et&#xa0;al., 2019</xref>). <italic>Bax</italic> and <italic>Bcl-2</italic> belong to the <italic>Bcl-2</italic> family of proteins that are involved in apoptosis regulation. <italic>Bcl-2</italic> has antiapoptotic effects and inhibits most cell death types (<xref ref-type="bibr" rid="B22">Hockenbery et&#xa0;al., 1993</xref>); however, <italic>Bax</italic> is pro-apoptotic and a major inhibitor of <italic>Bcl-2</italic> (<xref ref-type="bibr" rid="B26">Jin et&#xa0;al., 2011</xref>). The <italic>Bcl-2/Bax</italic> ratio increased under hypoxic stress and reached twofold at H6 until decreasing at R24 (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7B, C</bold>
</xref>). When the <italic>Bcl-2/Bax</italic> ratio decreased, fish exhibited a dominant role of <italic>Bax</italic>, clearing damaged cells <italic>in vivo</italic>, as also reported for <italic>T. blochii</italic> (<xref ref-type="bibr" rid="B17">Gu et&#xa0;al., 2023</xref>). When exposed to short-term hypoxia, cells upregulate <italic>Bcl-2</italic> expression to inhibit apoptosis; whereas, prolonged hypoxia leads to downregulation of <italic>Bcl-2</italic> expression to accelerate the apoptotic process (<xref ref-type="bibr" rid="B55">Shroff et&#xa0;al., 2007</xref>). A change in the <italic>Bcl-2/Bax</italic> ratio reflects the antagonistic effect of the two proteins, which contributes to enhanced apoptosis under environmental stress and, in turn, protects cells from excessive death. In addition, <italic>Caspase-9</italic> acts as a downstream gene, causing endoplasmic reticulum stress and mitochondrial damage to activate the Cas signaling pathway and induce apoptosis (<xref ref-type="bibr" rid="B34">Liu et&#xa0;al., 2023</xref>). Our results showed that <italic>Caspase-9</italic> expression significantly increased after hypoxia treatment, suggesting that hypoxia activated the Cas signaling pathway (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>). Three apoptosis-related genes (i.e., <italic>Bax</italic>, <italic>Bcl-2</italic>, and <italic>Caspase-9</italic>) were upregulated under hypoxia, suggesting that the body activates the <italic>Bax</italic>-<italic>Bcl2</italic> and Cas pathways to promote cells to enter the apoptotic program to adapt to hypoxic stress. Furthermore, the transcriptional expression of <italic>Bcl-2</italic> is regulated by <italic>NF-&#x3ba;B</italic>, which can activate the <italic>Bcl-2</italic> promoter to promote gene expression (<xref ref-type="bibr" rid="B6">Catz and Johnson, 2001</xref>), which is consistent with the expression pattern of these genes in the present study. This suggested that apoptosis and innate immune responses acted simultaneously under hypoxia to maintain homeostasis.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>The results of the present study indicated that environmental hypoxia, followed by reoxygenation, had serious effects on the liver of <italic>E. coioides.</italic> Hypoxia affected the activities of glycolytic enzymes and immunoenzymes in serum and the liver and induced fluctuating expression of genes involved in energy metabolism, inflammatory response, and cellular regulation in the liver. To adapt to a low-oxygen environment, <italic>E. coioides</italic> used anaerobic glycolysis as an important metabolic energy supply pathway and activated the immune response and apoptosis to maintain homeostasis.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>All animal handling procedures and experimental protocols were approved by the Experimental Animal Ethics Committee of Guangzhou University of China. The study was conducted in accordance with the local legislation and institutional requirements. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YW: Writing &#x2013; original draft, Data curation. YL: Writing &#x2013; original draft, Investigation. BL: Writing &#x2013; review &amp; editing. YH: Writing &#x2013; review &amp; editing, Supervision. ZY: Writing &#x2013; review &amp; editing. YM: Writing &#x2013; review &amp; editing. YF: Writing &#x2013; review &amp; editing, Data curation. QC: Writing &#x2013; review &amp; editing, Validation, Data curation. AG: Writing &#x2013; review &amp; editing, Validation, Supervision, Methodology. HS: Writing &#x2013; review &amp; editing, Supervision, Resources, Funding acquisition.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from Science and Technology Program of Guangdong Province (2019B030316022), Research on breeding technology of candidate species for Guangdong modern marine ranching (2024-MRB-00-001), Guangdong Financial Budget (2023) No. 6, and China-ASEAN Fisheries Resources Conservation and Exploitation (CAMC-2018F). The Natural Science Foundation of China (No. 42177262), 2023 National Undergraduate Innovation and Entrepreneurship Training Program (202311078043) and the &#x201c;2 + 5&#x201d; platform funding support from Guangzhou University.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Chong Han and Ruiqi Liu for valuable input on the manuscript.</p>
</ack>
<sec id="s10" 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="s11" 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>
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