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peripheral and central chemoreception and control of breathing: an emerging role of ATP, J Physiol, 568, 715, 10.1113\u002Fjphysiol.2005.095968\nPrabhakar, 2004, Peripheral chemoreceptors in health and disease, J Appl Physiol (1985), 96, 359, 10.1152\u002Fjapplphysiol.00809.2003\nZera, 2019, The logic of carotid body connectivity to the brain, Physiology (Bethesda), 34, 264\nRuyle, 2018, Hypoxia activates a neuropeptidergic pathway from the paraventricular nucleus of the hypothalamus to the nucleus tractus solitarii, Am J Physiol Regul Integr Comp Physiol, 315, R1167, 10.1152\u002Fajpregu.00244.2018\nCummins, 2020, Mechanisms and consequences of oxygen and carbon dioxide sensing in mammals, Physiol Rev, 100, 463, 10.1152\u002Fphysrev.00003.2019\nFukushi, 2021, Mechanisms underlying the sensation of dyspnea, Respir Investig, 59, 66, 10.1016\u002Fj.resinv.2020.10.007\nTavcar, 2021, Neurotropic viruses, astrocytes, and COVID-19, Front Cell Neurosci, 15, 10.3389\u002Ffncel.2021.662578\nVilladiego, 2020, Is carotid body infection responsible for silent hypoxemia in COVID-19 patients?, Function, 2, 10.1093\u002Ffunction\u002Fzqaa032\nPorzionato, 2020, The potential role of the carotid body in COVID-19, Am J Physiol Lung Cell Mol Physiol, 319, L620, 10.1152\u002Fajplung.00309.2020\nSerra, 2019, The impact of chronic intestinal inflammation on brain disorders: the microbiota-gut-brain axis, Mol Neurobiol, 56, 6941, 10.1007\u002Fs12035-019-1572-8\nKho, 2018, The human gut microbiome - a potential controller of wellness and disease, Front Microbiol, 9, 10.3389\u002Ffmicb.2018.01835\nRinninella, 2019, What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases, Microorganisms, 7, 10.3390\u002Fmicroorganisms7010014\nYeoh, 2021, Gut microbiota composition reflects disease severity and dysfunctional immune responses in patients with COVID-19, Gut, 70, 698, 10.1136\u002Fgutjnl-2020-323020\nZuo, 2020, Alterations in gut microbiota of patients with COVID-19 during time of hospitalization, Gastroenterology, 159, 944, 10.1053\u002Fj.gastro.2020.05.048\nViana, 2020, ACE2 imbalance as a key player for the poor outcomes in COVID-19 patients with age-related comorbidities — role of gut microbiota dysbiosis, Ageing Res Rev, 62, 10.1016\u002Fj.arr.2020.101123\nChen, 2020, The microbial coinfection in COVID-19, Appl Microbiol Biotechnol, 104, 7777, 10.1007\u002Fs00253-020-10814-6\nVillapol, 2020, Gastrointestinal symptoms associated with COVID-19: impact on the gut microbiome, Transl Res, 226, 57, 10.1016\u002Fj.trsl.2020.08.004\nHan, 2020, Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors, Emerg Microbes Infect, 9, 1123, 10.1080\u002F22221751.2020.1770129\nDumitrescu, 2018, Oxidative stress and the microbiota-gut-brain axis, Oxid Med Cell Longev, 2018, 10.1155\u002F2018\u002F2406594\nKe, 2018, Gut flora-dependent metabolite trimethylamine-N-oxide accelerates endothelial cell senescence and vascular aging through oxidative stress, Free Radic Biol Med, 116, 88, 10.1016\u002Fj.freeradbiomed.2018.01.007\nNuzzo, 2020, Potential neurological effects of severe COVID-19 infection, Neurosci Res, 158, 1, 10.1016\u002Fj.neures.2020.06.009\nFu, 2019, Anti-neuroinflammation ameliorates systemic inflammation-induced mitochondrial DNA impairment in the nucleus of the solitary tract and cardiovascular reflex dysfunction, J Neuroinflammation, 16, 224, 10.1186\u002Fs12974-019-1623-0\nBraniste, 2014, The gut microbiota influences blood-brain barrier permeability in mice, Sci Transl Med, 6, 10.1126\u002Fscitranslmed.3009759\nFollmer, 2020, Viral infection-induced gut dysbiosis, neuroinflammation, and alpha-synuclein aggregation: updates and perspectives on COVID-19 and neurodegenerative disorders, ACS Chem Neurosci, 11, 4012, 10.1021\u002Facschemneuro.0c00671\nZhao, 2019, Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice, Sci Rep, 9\nMeinhardt, 2021, Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19, Nat Neurosci, 24, 168, 10.1038\u002Fs41593-020-00758-5\nGroiss, 2020, Prolonged neuropsychological deficits, central nervous system involvement, and brain stem affection after COVID-19-A case series, Front Neurol, 11, 10.3389\u002Ffneur.2020.574004\nGandhi, 2020, Is the collapse of the respiratory center in the brain responsible for respiratory breakdown in COVID-19 patients?, ACS Chem Neurosci, 11, 1379, 10.1021\u002Facschemneuro.0c00217\nBarreto-Filho, 2021, Non-dyspnogenic acute hypoxemic respiratory failure in COVID-19 pneumonia, J Appl Physiol (1985), 130, 892, 10.1152\u002Fjapplphysiol.00522.2020\nMachado, 2021, Relevance of carotid bodies in COVID-19: a hypothetical viewpoint, Auton Neurosci, 233, 10.1016\u002Fj.autneu.2021.102810\nTobin, 2020, Why COVID-19 silent hypoxemia is baffling to physicians, Am J Respir Crit Care Med, 202, 356, 10.1164\u002Frccm.202006-2157CP\nFulling, 2019, Gut microbe to brain signaling: what happens in vagus, Neuron, 101, 998, 10.1016\u002Fj.neuron.2019.02.008\nMcVey Neufeld, 2019, Oral selective serotonin reuptake inhibitors activate vagus nerve dependent gut-brain signalling, Sci Rep, 9, 10.1038\u002Fs41598-019-50807-8\nBaig, 2020, Computing the effects of SARS-CoV-2 on respiration regulatory mechanisms in COVID-19, ACS Chem Neurosci, 11, 2416, 10.1021\u002Facschemneuro.0c00349\nZhu, 2020, The progress of gut microbiome research related to brain disorders, J Neuroinflammation, 17, 25, 10.1186\u002Fs12974-020-1705-z\nBhattacharyya, 2014, Oxidative stress: an essential factor in the pathogenesis of gastrointestinal mucosal diseases, Physiol Rev, 94, 329, 10.1152\u002Fphysrev.00040.2012\nCaspani, 2019, Small talk: microbial metabolites involved in the signaling from microbiota to brain, Curr Opin Pharmacol, 48, 99, 10.1016\u002Fj.coph.2019.08.001\nMarkowiak-Kopec, 2020, The effect of probiotics on the production of short-chain fatty acids by human intestinal microbiome, Nutrients, 12, 10.3390\u002Fnu12041107\nO’Connor, 2019, Manipulation of gut microbiota blunts the ventilatory response to hypercapnia in adult rats, EBioMedicine, 44, 618, 10.1016\u002Fj.ebiom.2019.03.029\nOleskin, 2016, Neuromodulatory effects and targets of the SCFAs and gasotransmitters produced by the human symbiotic microbiota, Microb Ecol Health Dis, 27\nSilva, 2020, The role of short-chain fatty acids from gut microbiota in gut-brain communication, Front Endocrinol (Lausanne), 11, 25, 10.3389\u002Ffendo.2020.00025\nLi, 2021, Butyrate regulates COVID-19-relevant genes in gut epithelial organoids from normotensive rats, Hypertension, 77, e13, 10.1161\u002FHYPERTENSIONAHA.120.16647\nTorres-Torrelo, 2018, The role of Olfr78 in the breathing circuit of mice, Nature, 561, E33, 10.1038\u002Fs41586-018-0545-9\nLloyd-Price, 2019, Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases, Nature, 569, 655, 10.1038\u002Fs41586-019-1237-9\nBasseri, 2010, Pulmonary manifestations of inflammatory bowel disease: case presentations and review, J Crohns Colitis, 4, 390, 10.1016\u002Fj.crohns.2010.03.008\nD’Andrea, 2010, Respiratory involvement in inflammatory bowel diseases, Multidiscip Respir Med, 5, 173, 10.1186\u002F2049-6958-5-3-173\nNeurath, 2020, COVID-19 and immunomodulation in IBD, Gut, 69, 1335, 10.1136\u002Fgutjnl-2020-321269\nPrabhakar, 2016, Regulation of carotid body oxygen sensing by hypoxia-inducible factors, Pflugers Arch, 468, 71, 10.1007\u002Fs00424-015-1719-z\nGroves, 2020, Respiratory viral infection alters the gut microbiota by inducing inappetence, mBio, 11, 10.1128\u002FmBio.03236-19\nKelly, 2015, Crosstalk between microbiota-derived short-chain fatty acids and intestinal epithelial HIF augments tissue barrier function, Cell Host Microbe, 17, 662, 10.1016\u002Fj.chom.2015.03.005\nLopetuso, 2013, Commensal clostridia: leading players in the maintenance of gut homeostasis, Gut Pathog, 5, 23, 10.1186\u002F1757-4749-5-23\nGonkowski, 2020, Vasoactive intestinal polypeptide in the carotid body-a history of forty years of research. 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2014, Incidence, patient satisfaction, and perceptions of post-surgical pain. Results from a US national survey, Curr Med Res Opin, 30, 149, 10.1185\u002F03007995.2013.860019\nGerbershagen, 2014, Procedure-specific risk factor analysis for the development of severe postoperative pain, Anesthesiology, 120, 1237, 10.1097\u002FALN.0000000000000108\nPogatzki-Zahn, 2015, A prospective multicentre study to improve postoperative pain: identification of potentialities and problems, PLoS One, 10, 10.1371\u002Fjournal.pone.0143508\nvan Boekel, 2019, Relationship between postoperative pain and overall 30-day complications in a broad surgical population. An observational study, Ann Surg, 269, 856, 10.1097\u002FSLA.0000000000002583\nFletcher, 2015, Chronic postsurgical pain in Europe: an observational study, Eur J Anaesthesiol, 32, 725, 10.1097\u002FEJA.0000000000000319\nBrat, 2018, Postsurgical prescriptions for opioid naive patients and association with overdose and misuse. Retrospective cohort study, BMJ (Clinical research ed), 360\nBurma, 2017, Animal models of chronic pain: advances and challenges for clinical translation, J Neurosci Res, 95, 1242, 10.1002\u002Fjnr.23768\nMao, 2012, Current challenges in translational pain research, Trends Pharmacol Sci, 33, 568, 10.1016\u002Fj.tips.2012.08.001\nBrennan, 1996, Characterization of a rat model of incisional pain, Pain, 64, 493, 10.1016\u002F0304-3959(95)01441-1\nPogatzki-Zahn, 2018, Mechanisms of acute and chronic pain after surgery. Update from findings in experimental animal models, Curr Opin Anaesthesiol, 31, 575, 10.1097\u002FACO.0000000000000646\nPogatzki-Zahn, 2017, Postoperative pain—from mechanisms to treatment, Pain Rep, 1\nScherer, 2010, The assessment of cold hyperalgesia after an incision, Anesth Analg, 110, 222, 10.1213\u002FANE.0b013e3181c0725f\nDecosterd, 2000, Spared nerve injury: an animal model of persistent peripheral neuropathic pain, Pain, 87, 149, 10.1016\u002FS0304-3959(00)00276-1\nAllchorne, 2005, Detection of cold pain, cold allodynia and cold hyperalgesia in freely behaving rats, Mol Pain, 1, 36, 10.1186\u002F1744-8069-1-36\nPogatzki, 2003, A mouse model of incisional pain, Anesthesiology, 99, 1023, 10.1097\u002F00000542-200310000-00041\nBuvanendran, 2004, Characterization of a new animal model for evaluation of persistent postthoracotomy pain, Anesth Analg, 99, 1453, 10.1213\u002F01.ANE.0000134806.61887.0D\nKendall, 2016, Efficacy of sustained-release buprenorphine in an experimental laparotomy model in female mice, J Am Assoc Lab Anim Sci, 55, 66\nBree, 2015, Development and characterization of a novel, anatomically relevant rat model of acute postoperative pain, J Pain, 16, 421, 10.1016\u002Fj.jpain.2015.01.010\nBree, 2016, Characterization of the affective component of acute postoperative pain associated with a novel rat model of inguinal hernia repair pain, CNS Neurosci Ther, 22, 146, 10.1111\u002Fcns.12483\nFlatters, 2008, Characterization of a model of persistent postoperative pain evoked by skin\u002Fmuscle incision and retraction (SMIR), Pain, 135, 119, 10.1016\u002Fj.pain.2007.05.013\nKang, 2016, Mechanisms of postoperative pain, Anesth Pain Med, 11, 236, 10.17085\u002Fapm.2016.11.3.236\nDeuis, 2017, Methods used to evaluate pain behaviors in rodents, Front Mol Neurosci, 10, 284, 10.3389\u002Ffnmol.2017.00284\nKlinck, 2017, Translational pain assessment, Pain, 1\nMogil, 2010, The necessity of animal models in pain research, Pain, 151, 12, 10.1016\u002Fj.pain.2010.07.015\nLavand’homme, 2005, Intraoperative epidural analgesia combined with ketamine provides effective preventive analgesia in patients undergoing major digestive surgery, Anesthesiology, 103, 813, 10.1097\u002F00000542-200510000-00020\nEisenach, 2006, Preventing chronic pain after surgery: who, how, and when?, Reg Anesth Pain Med, 31, 1\nSugiyama, 2017, Muscle Reactive Oxygen Species (ROS) contribute to post-incisional guarding via the TRPA1 receptor, PLoS One, 12, 10.1371\u002Fjournal.pone.0170410\nXu, 2010, Guarding pain and spontaneous activity of nociceptors after skin versus skin plus deep tissue incision, Anesthesiology, 112, 153, 10.1097\u002FALN.0b013e3181c2952e\nXu, 2009, Comparison of skin incision vs. skin plus deep tissue incision on ongoing pain and spontaneous activity in dorsal horn neurons, Pain, 144, 329, 10.1016\u002Fj.pain.2009.05.019\nKido, 2013, Effect of deep tissue incision on pH responses of afferent fibers and dorsal root ganglia innervating muscle, Anesthesiology, 119, 1186, 10.1097\u002FALN.0b013e31829bd791\nBrennan, 2011, Pathophysiology of postoperative pain, Pain, 152, S33, 10.1016\u002Fj.pain.2010.11.005\nReichl, 2016, Activation of glial glutamate transporter via MAPK p38 prevents enhanced and long-lasting non-evoked resting pain after surgical incision in rats, Neuropharmacology, 105, 607, 10.1016\u002Fj.neuropharm.2016.02.024\nChen, 2018, Celastrol attenuates incision-induced inflammation and pain associated with inhibition of the NF-κB signalling pathway via SARM, Life Sci, 205, 136, 10.1016\u002Fj.lfs.2018.05.020\nSrikandarajah, 2011, Systematic review of movement-evoked pain versus pain at rest in postsurgical clinical trials and meta-analyses: a fundamental distinction requiring standardized measurement, Pain, 152, 1734, 10.1016\u002Fj.pain.2011.02.008\nTappe-Theodor, 2019, Pros and cons of clinically relevant methods to assess pain in rodents, Neurosci Biobehav Rev, 100, 335, 10.1016\u002Fj.neubiorev.2019.03.009\nLuk, 2018, Contribution of diacylglycerol lipase β to pain after surgery, J Pain Res, 11, 473, 10.2147\u002FJPR.S157208\nGhasemlou, 2015, CD11b+Ly6G-myeloid cells mediate mechanical inflammatory pain hypersensitivity, Proc Natl Acad Sci U S A, 112, E6808, 10.1073\u002Fpnas.1501372112\nSpofford, 2012, Gene expression in skin, muscle, and dorsal root ganglion after plantar incision in the rat, Anesthesiology, 117, 161, 10.1097\u002FALN.0b013e31825a2a2b\nXing, 2018, TLR4\u002FNF-κB signaling activation in plantar tissue and dorsal root ganglion involves in the development of postoperative pain, Mol Pain, 14, 10.1177\u002F1744806918807050\nKang, 2013, Wound hypoxia in deep tissue after incision in rats, Wound Repair Regen, 21, 730, 10.1111\u002Fwrr.12081\nSugiyama, 2017, Hydrogen peroxide induces muscle nociception via transient receptor potential Ankyrin 1 receptors, Anesthesiology, 127, 695, 10.1097\u002FALN.0000000000001756\nBoada, 2014, Fast-conducting mechanoreceptors contribute to withdrawal behavior in normal and nerve injured rats, Pain, 155, 2646, 10.1016\u002Fj.pain.2014.09.030\nPogatzki, 2002, Characterization of Adelta- and C-fibers innervating the plantar rat hindpaw one day after an incision, J Neurophysiol, 87, 721, 10.1152\u002Fjn.00208.2001\nWu, 2009, Expression profile of nerve growth factor after muscle incision in the rat, Anesthesiology, 110, 140, 10.1097\u002FALN.0b013e318190bc84\nOliveira, 2013, Critical role of protease-activated receptor 2 activation by mast cell tryptase in the development of postoperative pain, Anesthesiology, 118, 679, 10.1097\u002FALN.0b013e31827d415f\nOliveira, 2011, Involvement of mast cells in a mouse model of postoperative pain, Eur J Pharmacol, 672, 88, 10.1016\u002Fj.ejphar.2011.10.001\nCowie, 2018, Optogenetic inhibition of CGRPα sensory neurons reveals their distinct roles in neuropathic and incisional pain, J Neurosci, 38, 5807, 10.1523\u002FJNEUROSCI.3565-17.2018\nHämäläinen, 2002, Acute effect of an incision on mechanosensitive afferents in the plantar rat hindpaw, J Neurophysiol, 87, 712, 10.1152\u002Fjn.00207.2001\nYamakita, 2018, Synergistic activation of ERK1\u002F2 between A-fiber neurons and glial cells in the DRG contributes to pain hypersensitivity after tissue injury, Mol Pain, 14, 10.1177\u002F1744806918767508\nSun, 2018, Increased Nav1.7 expression in the dorsal root ganglion contributes to pain hypersensitivity after plantar incision in rats, Mol Pain, 14, 10.1177\u002F1744806918782323\nKumar, 2018, Comparison of the peripheral antinociceptive effect of somatostatin with bupivacaine and morphine in the rodent postoperative pain model, Eur J Anaesthesiol, 35, 955, 10.1097\u002FEJA.0000000000000825\nSukeishi, 2017, Colchicine alleviates acute postoperative pain but delays wound repair in mice. Roles of neutrophils and macrophages, Mol Pain, 13, 10.1177\u002F1744806917743680\nSahbaie, 2012, Roles of Gr-1+ leukocytes in postincisional nociceptive sensitization and inflammation, Anesthesiology, 117, 602, 10.1097\u002FALN.0b013e3182655f9f\nWillyard, 2018, Squeaky clean mice could be ruining research, Nature, 556, 16, 10.1038\u002Fd41586-018-03916-9\nKehlet, 2006, Persistent postsurgical pain: risk factors and prevention, Lancet, 367, 1618, 10.1016\u002FS0140-6736(06)68700-X\nZahn, 1999, Primary and secondary hyperalgesia in a rat model for human postoperative pain, Anesthesiology, 90, 863, 10.1097\u002F00000542-199903000-00030\nReichl, 2012, Peripheral and spinal GABAergic regulation of incisional pain in rats, Pain, 153, 129, 10.1016\u002Fj.pain.2011.09.028\nRaithel, 2018, Transcriptional changes in dorsal spinal cord persist after surgical incision despite preemptive analgesia with peripheral resiniferatoxin, Anesthesiology, 128, 620, 10.1097\u002FALN.0000000000002006\nPogatzki-Zahn, 2017, Postoperative pain-from mechanisms to treatment, Pain Rep, 2\nAmirmohseni, 2016, Characterization of incisional and inflammatory pain in rats using functional tools of MRI, NeuroImage, 127, 110, 10.1016\u002Fj.neuroimage.2015.11.052\nHäuser, 2014, The impact of body weight and depression on low back pain in a representative population sample, Pain Med, 15, 1316, 10.1111\u002Fpme.12458\nOkifuji, 2015, The association between chronic pain and obesity, J Pain Res, 8, 399, 10.2147\u002FJPR.S55598\nZale, 2015, Interrelations between pain and alcohol. An integrative review, Clin Psychol Rev, 37, 57, 10.1016\u002Fj.cpr.2015.02.005\nArora, 2018, Psychosocial stress delays recovery of postoperative pain following incisional surgery in the rat, Neuroscience, 382, 35, 10.1016\u002Fj.neuroscience.2018.04.014\nCao, 2015, Short-term pre- and post-operative stress prolongs incision-induced pain hypersensitivity without changing basal pain perception, Mol Pain, 11, 73, 10.1186\u002Fs12990-015-0077-3\nHambrecht-Wiedbusch, 2017, Preemptive caffeine administration blocks the increase in postoperative pain caused by previous sleep loss in the rat: a potential role for preoptic adenosine A2A receptors in sleep-pain interactions, Sleep, 40\nLiu, 2018, Spinal AMPA receptor GluA1 Ser831 phosphorylation controls chronic alcohol consumption-produced prolongation of postsurgical pain, Mol Neurobiol, 55, 4090, 10.1007\u002Fs12035-017-0639-7\nSong, 2018, High-fat diet exacerbates postoperative pain and inflammation in a sex-dependent manner, Pain, 159, 1731, 10.1097\u002Fj.pain.0000000000001259\nLiu, 2017, Antinociceptive effects of caloric restriction on post-incisional pain in nonobese rats, Sci Rep, 7\nBanik, 2005, Increased nerve growth factor after rat plantar incision contributes to guarding behavior and heat hyperalgesia, Pain, 117, 68, 10.1016\u002Fj.pain.2005.05.017\nHamalainen, 2009, Differential effect of capsaicin treatment on pain-related behaviors after plantar incision, J Pain, 10, 637, 10.1016\u002Fj.jpain.2009.01.003\nWei, 2012, Transient receptor potential ankyrin 1 ion channel contributes to guarding pain and mechanical hypersensitivity in a rat model of postoperative pain, Anesthesiology, 117, 137, 10.1097\u002FALN.0b013e31825adb0e\nDeval, 2008, ASIC3, a sensor of acidic and primary inflammatory pain, EMBO J, 27, 3047, 10.1038\u002Femboj.2008.213\nGautam, 2015, Antinociceptive effect of 1400 W, an inhibitor of inducible nitric oxide synthase, following hind paw incision in rats, Nitric Oxide, 50, 98, 10.1016\u002Fj.niox.2015.09.003\nKabadi, 2015, Spontaneous pain-like behaviors are more sensitive to morphine and buprenorphine than mechanically evoked behaviors in a rat model of acute postoperative pain, Anesth Analg, 120, 472, 10.1213\u002FANE.0000000000000571\nYalamuri, 2013, Neuropeptide Y is analgesic in rats after plantar incision, Eur J Pharmacol, 698, 206, 10.1016\u002Fj.ejphar.2012.10.036\nLiang, 2010, Caspase-1 modulates incisional sensitization and inflammation, Anesthesiology, 113, 945, 10.1097\u002FALN.0b013e3181ee2f17\nXu, 2014, Activation of spinal phosphatidylinositol 3-kinase\u002Fprotein kinase B mediates pain behavior induced by plantar incision in mice, Exp Neurol, 255, 71, 10.1016\u002Fj.expneurol.2014.02.019\nvan den Heuvel, 2015, Selective prevention of mechanical hyperalgesia after incision by spinal ERK1\u002F2 inhibition, Eur J Pain, 19, 225, 10.1002\u002Fejp.540\nPrasoon, 2015, Role of somatostatin and somatostatin receptor type 2 in postincisional nociception in rats, Neuropeptides, 49, 47, 10.1016\u002Fj.npep.2014.12.002\nJang, 2011, Increased local concentration of complement C5a contributes to incisional pain in mice, J Neuroinflammation, 8, 80, 10.1186\u002F1742-2094-8-80\nSpofford, 2011, Evaluation of leukemia inhibitory factor (LIF) in a rat model of postoperative pain, J Pain, 12, 819, 10.1016\u002Fj.jpain.2011.02.351\nLi, 2008, Brain derived neurotrophic factor (BDNF) contributes to the pain hypersensitivity following surgical incision in the rats, Mol Pain, 4, 27, 10.1186\u002F1744-8069-4-27\nMizukoshi, 2013, Activation of p38 mitogen-activated protein kinase in the dorsal root ganglion contributes to pain hypersensitivity after plantar incision, Neuroscience, 234, 77, 10.1016\u002Fj.neuroscience.2013.01.001\nMasaki, 2016, Early postoperative nociceptive threshold and production of brain-derived neurotrophic factor induced by plantar incision are not influenced with minocycline in a rat: role of spinal microglia, Neuro-Signals, 24, 15, 10.1159\u002F000442608\nLiu, 2018, Oxycodone regulates incision-induced activation of neurotrophic factors and receptors in an acute post-surgery pain rat model, J Pain Res, 11, 2663, 10.2147\u002FJPR.S180396\nXing, 2017, CXCL12\u002FCXCR4 signaling mediated ERK1\u002F2 activation in spinal cord contributes to the pathogenesis of postsurgical pain in rats, Mol Pain, 13, 10.1177\u002F1744806917718753\nGuo, 2018, Downregulation of neuroligin1 ameliorates postoperative pain through inhibiting neuroligin1\u002Fpostsynaptic density 95-mediated synaptic targeting of α-amino-3-hydroxy-5-methyl-4-isoxazole propionate receptor GluA1 subunits in rat dorsal horns, Mol Pain, 14, 10.1177\u002F1744806918766745\nSaha, 2013, Spinal mitogen-activated protein kinase phosphatase-3 (MKP-3) is necessary for the normal resolution of mechanical allodynia in a mouse model of acute postoperative pain, J Neurosci, 33, 17182, 10.1523\u002FJNEUROSCI.5605-12.2013\nFan, 2017, Paeoniflorin 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1991, Ageing and Parkinson’s disease: substantia nigra regional selectivity, Brain, 114, 2283, 10.1093\u002Fbrain\u002F114.5.2283\nKlein, 2012, Genetics of Parkinson’s disease, Cold Spring Harb Perspect Med, 2, 10.1101\u002Fcshperspect.a008888\nReed, 2019, The role of monogenic genes in idiopathic Parkinson’s disease, Neurobiol Dis, 124, 230, 10.1016\u002Fj.nbd.2018.11.012\nLangston, 1983, Chronic Parkinsonism in humans due to a product of meperidine-analog synthesis, Science, 219, 979, 10.1126\u002Fscience.6823561\nRamsay, 1986, Energy-driven uptake of N-methyl-4-phenylpyridine by brain mitochondria mediates the neurotoxicity of MPTP, Life Sci, 39, 581, 10.1016\u002F0024-3205(86)90037-8\nFahn, 1992, The oxidant stress hypothesis in Parkinson’s disease: evidence supporting it, Ann Neurol, 32, 804, 10.1002\u002Fana.410320616\nJenner, 2003, Oxidative stress in Parkinson’s disease, Ann Neurol, 53, S26, 10.1002\u002Fana.10483\nVarcin, 2012, Oxidative stress in genetic mouse models of Parkinson’s disease, Oxid Med Cell Longev, 2012, 10.1155\u002F2012\u002F624925\nMartinez, 2012, Toxin models of mitochondrial dysfunction in Parkinson’s disease, Antioxid Redox Signal, 16, 920, 10.1089\u002Fars.2011.4033\nWinterbourn, 2008, Thiol chemistry and specificity in redox signaling, Free Radic Biol Med, 45, 549, 10.1016\u002Fj.freeradbiomed.2008.05.004\nChinta, 2008, Redox imbalance in Parkinson’s disease, Biochim Biophys Acta, 1780, 1362, 10.1016\u002Fj.bbagen.2008.02.005\nGarcia-Garcia, 2012, Thiol-redox signaling, dopaminergic cell death, and Parkinson’s disease, Antioxid Redox Signal, 17, 1764, 10.1089\u002Fars.2011.4501\nSbodio, 2019, Redox mechanisms in neurodegeneration: from disease outcomes to therapeutic opportunities, Antioxid Redox Signal, 30, 1450, 10.1089\u002Fars.2017.7321\nBetarbet, 2000, Chronic systemic pesticide exposure reproduces features of Parkinson’s disease, Nat Neurosci, 3, 1301, 10.1038\u002F81834\nMcCormack, 2002, Environmental risk factors and Parkinson’s disease: selective degeneration of nigral dopaminergic neurons caused by the herbicide paraquat, Neurobiol Dis, 10, 119, 10.1006\u002Fnbdi.2002.0507\nGuzman, 2010, Oxidant stress evoked by pacemaking in dopaminergic neurons is attenuated by DJ-1, Nature, 468, 696, 10.1038\u002Fnature09536\nHanson, 2004, Investigating mitochondrial redox potential with redox-sensitive green fluorescent protein indicators, J Biol Chem, 279, 13044, 10.1074\u002Fjbc.M312846200\nGutscher, 2008, Real-time imaging of the intracellular glutathione redox potential, Nat Methods, 5, 553, 10.1038\u002Fnmeth.1212\nLillig, 2007, Thioredoxin and related molecules—from biology to health and disease, Antioxid Redox Signal, 9, 25, 10.1089\u002Fars.2007.9.25\nHanschmann, 2013, Thioredoxins, glutaredoxins, and peroxiredoxins—molecular mechanisms and health significance: from cofactors to antioxidants to redox signaling, Antioxid Redox Signal, 19, 1539, 10.1089\u002Fars.2012.4599\nTrotter, 2003, Non-reciprocal regulation of the redox state of the glutathione-glutaredoxin and thioredoxin systems, EMBO Rep, 4, 184, 10.1038\u002Fsj.embor.embor729\nMastroberardino, 2008, A FRET-based method to study protein thiol oxidation in histological preparations, Free Radic Biol Med, 45, 971, 10.1016\u002Fj.freeradbiomed.2008.06.018\nHorowitz, 2011, Single-cell redox imaging demonstrates a distinctive response of dopaminergic neurons to oxidative insults, Antioxid Redox Signal, 15, 855, 10.1089\u002Fars.2010.3629\nTrepanier, 1996, Immunocytochemical localization of seleno-glutathione peroxidase in the adult mouse brain, Neuroscience, 75, 231, 10.1016\u002F0306-4522(96)00222-9\nHung, 1998, MPTP produces differential oxidative stress and antioxidative responses in the nigrostriatal and mesolimbic dopaminergic pathways, Free Radic Biol Med, 24, 76, 10.1016\u002FS0891-5849(97)00206-2\nHook, 2018, Single-cell RNA-Seq of mouse dopaminergic neurons informs candidate gene selection for sporadic Parkinson disease, Am J Hum Genet, 102, 427, 10.1016\u002Fj.ajhg.2018.02.001\nGriffiths, 1999, Iron in the basal ganglia in Parkinson’s disease. An in vitro study using extended X-ray absorption fine structure and cryo-electron microscopy, Brain, 122, 667, 10.1093\u002Fbrain\u002F122.4.667\nSurmeier, 2017, Selective neuronal vulnerability in Parkinson disease, Nat Rev Neurosci, 18, 101, 10.1038\u002Fnrn.2016.178\nPutzier, 2009, Cav1.3 channel voltage dependence, not Ca2+ selectivity, drives pacemaker activity and amplifies bursts in nigral dopamine neurons, J Neurosci, 29, 15414, 10.1523\u002FJNEUROSCI.4742-09.2009\nBranch, 2014, Aging decreases L-type calcium channel currents and pacemaker firing fidelity in substantia nigra dopamine neurons, J Neurosci, 34, 9310, 10.1523\u002FJNEUROSCI.4228-13.2014\nSchultz, 2007, Multiple dopamine functions at different time courses, Annu Rev Neurosci, 30, 259, 10.1146\u002Fannurev.neuro.28.061604.135722\nBromberg-Martin, 2010, Dopamine in motivational control: rewarding, aversive, and alerting, Neuron, 68, 815, 10.1016\u002Fj.neuron.2010.11.022\nRice, 2011, Dopamine release in the basal ganglia, Neuroscience, 198, 112, 10.1016\u002Fj.neuroscience.2011.08.066\nGrace, 1984, The control of firing pattern in nigral dopamine neurons: burst firing, J Neurosci, 4, 2877, 10.1523\u002FJNEUROSCI.04-11-02877.1984\nGrace, 1984, The control of firing pattern in nigral dopamine neurons: single spike firing, J Neurosci, 4, 2866, 10.1523\u002FJNEUROSCI.04-11-02866.1984\nSchultz, 1998, Predictive reward signal of dopamine neurons, J Neurophysiol, 80, 1, 10.1152\u002Fjn.1998.80.1.1\nZweifel, 2009, Disruption of NMDAR-dependent burst firing by dopamine neurons provides selective assessment of phasic dopamine-dependent behavior, Proc Natl Acad Sci U S A, 106, 7281, 10.1073\u002Fpnas.0813415106\nSchiemann, 2012, K-ATP channels in dopamine substantia nigra neurons control bursting and novelty-induced exploration, Nat Neurosci, 15, 1272, 10.1038\u002Fnn.3185\nKarschin, 1997, Overlapping distribution of K(ATP) channel-forming Kir6.2 subunit and the sulfonylurea receptor SUR1 in rodent brain, FEBS Lett, 401, 59, 10.1016\u002FS0014-5793(96)01438-X\nAguilar-Bryan, 1998, Toward understanding the assembly and structure of KATP channels, Physiol Rev, 78, 227, 10.1152\u002Fphysrev.1998.78.1.227\nDragicevic, 2015, Dopamine midbrain neurons in health and Parkinson’s disease: emerging roles of voltage-gated calcium channels and ATP-sensitive potassium channels, Neuroscience, 284, 798, 10.1016\u002Fj.neuroscience.2014.10.037\nYamada, 2001, Protective role of ATP-sensitive potassium channels in hypoxia-induced generalized seizure, Science, 292, 1543, 10.1126\u002Fscience.1059829\nYamada, 2005, Neuroprotection by KATP channels, J Mol Cell Cardiol, 38, 945, 10.1016\u002Fj.yjmcc.2004.11.020\nSoundarapandian, 2007, Role of K(ATP) channels in protection against neuronal excitatory insults, J Neurochem, 103, 1721, 10.1111\u002Fj.1471-4159.2007.04963.x\nAvshalumov, 2005, Endogenous hydrogen peroxide regulates the excitability of midbrain dopamine neurons via ATP-sensitive potassium channels, J Neurosci, 25, 4222, 10.1523\u002FJNEUROSCI.4701-04.2005\nAvshalumov, 2007, H2O2 signaling in the nigrostriatal dopamine pathway via ATP-sensitive potassium channels: issues and answers, Antioxid Redox Signal, 9, 219, 10.1089\u002Fars.2007.9.219\nCoetzee, 1995, Effects of thiol-modifying agents on KATP channels in guinea pig ventricular cells, Am J Physiol, 269, H1625\nJiang, 2010, Molecular mechanism for H(2)S-induced activation of K(ATP) channels, Antioxid Redox Signal, 12, 1167, 10.1089\u002Fars.2009.2894\nLiss, 1999, Alternative sulfonylurea receptor expression defines metabolic sensitivity of K-ATP channels in dopaminergic midbrain neurons, EMBO J, 18, 833, 10.1093\u002Femboj\u002F18.4.833\nLiss, 2005, K-ATP channels promote the differential degeneration of dopaminergic midbrain neurons, Nat Neurosci, 8, 1742, 10.1038\u002Fnn1570\nJohnson, 1992, Burst firing in dopamine neurons induced by N-methyl-D-aspartate: role of electrogenic sodium pump, Science, 258, 665, 10.1126\u002Fscience.1329209\nAizenman, 1989, Selective modulation of NMDA responses by reduction and oxidation, Neuron, 2, 1257, 10.1016\u002F0896-6273(89)90310-3\nBrimecombe, 1999, A critical role of the N-methyl-D-aspartate (NMDA) receptor subunit (NR) 2A in the expression of redox sensitivity of NR1\u002FNR2A recombinant NMDA receptors, J Pharmacol Exp Ther, 291, 785\nStocker, 2018, The conundrum of hydrogen peroxide signaling and the emerging role of peroxiredoxins as redox relay hubs, Antioxid Redox Signal, 28, 558, 10.1089\u002Fars.2017.7162\nMarinho, 2014, Hydrogen peroxide sensing, signaling and regulation of transcription factors, Redox Biol, 2, 535, 10.1016\u002Fj.redox.2014.02.006\nSobotta, 2015, Peroxiredoxin-2 and STAT3 form a redox relay for H2O2 signaling, Nat Chem Biol, 11, 64, 10.1038\u002Fnchembio.1695\nGo, 2015, The cysteine proteome, Free Radic Biol Med, 84, 227, 10.1016\u002Fj.freeradbiomed.2015.03.022\nvan der Reest, 2018, Proteome-wide analysis of cysteine 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2008, Mitochondrial dysfunction results from oxidative stress in the skeletal muscle of diet-induced insulin-resistant mice, J Clin Invest, 118, 789\nFerreira, 2016, Regulation of NADPH oxidases in skeletal muscle, Free Radic Biol Med, 98, 18, 10.1016\u002Fj.freeradbiomed.2016.05.011\nWei, 2006, Angiotensin II-induced NADPH oxidase activation impairs insulin signaling in skeletal muscle cells, J Biol Chem, 281, 35137, 10.1074\u002Fjbc.M601320200\nOhta, 2011, Oxidative stress impairs insulin signal in skeletal muscle and causes insulin resistance in postinfarct heart failure, Am J Physiol Heart Circ Physiol, 300, H1637, 10.1152\u002Fajpheart.01185.2009\nSouto Padron de Figueiredo, 2015, Nox2 mediates skeletal muscle insulin resistance induced by a high fat diet, J Biol Chem, 290, 13427, 10.1074\u002Fjbc.M114.626077\nBravard, 2011, Inhibition of xanthine oxidase reduces hyperglycemia-induced oxidative stress and improves mitochondrial alterations in skeletal muscle of diabetic mice, Am J Physiol Endocrinol Metab, 300, E581, 10.1152\u002Fajpendo.00455.2010\nMiric, 2016, Xanthine oxidase activity in type 2 diabetes mellitus patients with and without diabetic peripheral neuropathy, J Diabetes Res, 2016, 10.1155\u002F2016\u002F4370490\nMoriya, 2018, Febuxostat improves insulin resistance in the skeletal muscle in vitro and in vivo, Diabetes, 67, 10.2337\u002Fdb18-1927-P\nBarquissau, 2017, Reactive oxygen species enhance mitochondrial function, insulin sensitivity and glucose uptake in skeletal muscle of senescence accelerated prone mice SAMP8, Free Radic Biol Med, 113, 267, 10.1016\u002Fj.freeradbiomed.2017.10.012\nDi Meo, 2017, Skeletal muscle insulin resistance: role of mitochondria and other ROS sources, J Endocrinol, 233, R15, 10.1530\u002FJOE-16-0598\nSzendroedi, 2009, Impaired mitochondrial function and insulin resistance of skeletal muscle in mitochondrial diabetes, Diabetes Care, 32, 677, 10.2337\u002Fdc08-2078\nMaurya, 2015, NOD2 activation induces oxidative stress contributing to mitochondrial dysfunction and insulin resistance in skeletal muscle cells, Free Radic Biol Med, 89, 158, 10.1016\u002Fj.freeradbiomed.2015.07.154\nRibas, 2016, Skeletal muscle action of estrogen receptor alpha is critical for the maintenance of mitochondrial function and metabolic homeostasis in females, Sci Transl Med, 8, 10.1126\u002Fscitranslmed.aad3815\nJing, 2011, Sirtuin-3 (Sirt3) regulates skeletal muscle metabolism and insulin signaling via altered mitochondrial oxidation and reactive oxygen species production, Proc Natl Acad Sci U S A, 108, 14608, 10.1073\u002Fpnas.1111308108\nLai, 2016, SIRT3-AMP-activated protein kinase activation by nitrite and metformin improves hyperglycemia and normalizes pulmonary hypertension associated with heart failure with preserved ejection fraction, Circulation, 133, 717, 10.1161\u002FCIRCULATIONAHA.115.018935\nIoja, 2018, Nocturnal hypoxia improves glucose disposal, decreases mitochondrial efficiency, and increases reactive oxygen species in the muscle and liver of C57BL\u002F6J mice independent of weight change, Oxid Med Cell Longev, 2018, 10.1155\u002F2018\u002F9649608\nShi, 2015, DJ-1 links muscle ROS production with metabolic reprogramming and systemic energy homeostasis in mice, Nat Commun, 6, 10.1038\u002Fncomms8415\nLiong, 2016, Endoplasmic reticulum stress regulates inflammation and insulin resistance in skeletal muscle from pregnant women, Mol Cell Endocrinol, 425, 11, 10.1016\u002Fj.mce.2016.02.016\nSaktiawati, 2016, Impact of food on the pharmacokinetics of first-line anti-TB drugs in treatment-naive TB patients: a randomized cross-over trial, J Antimicrob Chemother, 71, 703, 10.1093\u002Fjac\u002Fdkv394\nKoh, 2013, Tribbles 3 mediates endoplasmic reticulum stress-induced insulin resistance in skeletal muscle, Nat Commun, 4, 10.1038\u002Fncomms2851\nCui, 2019, Iron overload by transferrin receptor protein 1 regulation plays an important role in palmitate-induced insulin resistance in human skeletal muscle cells, FASEB J, 33, 1771, 10.1096\u002Ffj.201800448R\nMehdad, 2015, Iron deprivation may enhance insulin receptor and Glut4 transcription in skeletal muscle of adult rats, J Nutr Health Aging, 19, 846, 10.1007\u002Fs12603-015-0541-9\nQin, 2012, A metagenome-wide association study of gut microbiota in type 2 diabetes, Nature, 490, 55, 10.1038\u002Fnature11450\nChoi, 2015, Gut microbe-derived extracellular vesicles induce insulin resistance, thereby impairing glucose metabolism in skeletal muscle, Sci Rep, 5, 10.1038\u002Fsrep15878\nYounossi, 2018, Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention, Nat Rev Gastroenterol Hepatol, 15, 11, 10.1038\u002Fnrgastro.2017.109\nZeb, 2016, Nonalcoholic fatty liver disease and incident cardiac events: the multi-ethnic study of atherosclerosis, J Am Coll Cardiol, 67, 1965, 10.1016\u002Fj.jacc.2016.01.070\nDel Ben, 2012, Non-alcoholic fatty liver disease and cardiovascular disease: epidemiological, clinical and pathophysiological evidences, Intern Emerg Med, 7, S291, 10.1007\u002Fs11739-012-0819-4\nBuzzetti, 2016, The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD), Metabolism, 65, 1038, 10.1016\u002Fj.metabol.2015.12.012\nFlannery, 2012, Skeletal muscle insulin resistance promotes increased hepatic de novo lipogenesis, hyperlipidemia, and hepatic steatosis in the elderly, Diabetes, 61, 2711, 10.2337\u002Fdb12-0206\nSchwarz, 2003, Hepatic de novo lipogenesis in normoinsulinemic and hyperinsulinemic subjects consuming high-fat, low-carbohydrate and low-fat, high-carbohydrate isoenergetic diets, Am J Clin Nutr, 77, 43, 10.1093\u002Fajcn\u002F77.1.43\nMatsumoto, 2018, The NOX1 isoform of NADPH oxidase is involved in dysfunction of liver sinusoids in nonalcoholic fatty liver disease, Free Radic Biol Med, 115, 412, 10.1016\u002Fj.freeradbiomed.2017.12.019\nGarcia-Ruiz, 2016, NADPH oxidase is implicated in the pathogenesis of oxidative phosphorylation dysfunction in mice fed a high-fat diet, Sci Rep, 6, 10.1038\u002Fsrep23664\nChatterjee, 2013, Leptin is key to peroxynitrite-mediated oxidative stress and Kupffer cell activation in experimental non-alcoholic steatohepatitis, J Hepatol, 58, 778, 10.1016\u002Fj.jhep.2012.11.035\nDas, 2015, NADPH oxidase-derived peroxynitrite drives inflammation in mice and human nonalcoholic steatohepatitis via TLR4-lipid raft recruitment, Am J Pathol, 185, 1944, 10.1016\u002Fj.ajpath.2015.03.024\nWang, 2017, Involvement of xanthine oxidase and paraoxonase 1 in the process of oxidative stress in nonalcoholic fatty liver disease, Mol Med Rep, 15, 387, 10.3892\u002Fmmr.2016.6025\nNakatsu, 2015, The xanthine oxidase inhibitor febuxostat suppresses development of nonalcoholic steatohepatitis in a rodent model, Am J Physiol Gastrointest Liver Physiol, 309, G42, 10.1152\u002Fajpgi.00443.2014\nLoffredo, 2016, Effects of dark chocolate on NOX-2-generated oxidative stress in patients with non-alcoholic steatohepatitis, Aliment Pharmacol Ther, 44, 279, 10.1111\u002Fapt.13687\nDing, 2017, Emerging roles of SIRT1 in fatty liver diseases, Int J Biol Sci, 13, 852, 10.7150\u002Fijbs.19370\nLi, 2018, Therapeutic effect of Sirtuin 3 on ameliorating nonalcoholic fatty liver disease: the role of the ERK-CREB pathway and Bnip3-mediated mitophagy, Redox Biol, 18, 229, 10.1016\u002Fj.redox.2018.07.011\nGrattagliano, 2012, Role of mitochondria in nonalcoholic fatty liver disease—from origin to propagation, Clin Biochem, 45, 610, 10.1016\u002Fj.clinbiochem.2012.03.024\nUcar, 2013, The relationship between oxidative stress and nonalcoholic fatty liver disease: Its effects on the development of nonalcoholic steatohepatitis, Redox Rep, 18, 127, 10.1179\u002F1351000213Y.0000000050\nHeid, 2013, Mitochondrial reactive oxygen species induces NLRP3-dependent lysosomal damage and inflammasome activation, J Immunol, 191, 5230, 10.4049\u002Fjimmunol.1301490\nMridha, 2017, NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice, J Hepatol, 66, 1037, 10.1016\u002Fj.jhep.2017.01.022\nZhang, 2014, Role of endoplasmic reticulum stress in the pathogenesis of nonalcoholic fatty liver disease, World J Gastroenterol, 20, 1768, 10.3748\u002Fwjg.v20.i7.1768\nKim, 2018, ER stress drives lipogenesis and steatohepatitis via caspase-2 activation of S1P, Cell, 175, 133, 10.1016\u002Fj.cell.2018.08.020\nWang, 2012, IRE1alpha-XBP1s induces PDI expression to increase MTP activity for hepatic VLDL assembly and lipid homeostasis, Cell Metab, 16, 473, 10.1016\u002Fj.cmet.2012.09.003\nXiao, 2013, ATF4 protein deficiency protects against high fructose-induced hypertriglyceridemia in mice, J Biol Chem, 288, 25350, 10.1074\u002Fjbc.M113.470526\nYamamoto, 2010, Induction of liver steatosis and lipid droplet formation in ATF6alpha-knockout mice burdened with pharmacological endoplasmic reticulum stress, Mol Biol Cell, 21, 2975, 10.1091\u002Fmbc.e09-02-0133\nKim, 2017, Activating transcription factor 3 is a target molecule linking hepatic steatosis to impaired glucose homeostasis, J Hepatol, 67, 349, 10.1016\u002Fj.jhep.2017.03.023\nHagstrom, 2016, Elevated serum ferritin is associated with increased mortality in non-alcoholic fatty liver disease after 16 years of follow-up, Liver Int, 36, 1688, 10.1111\u002Fliv.13144\nValenzuela, 2018, Iron-induced pro-oxidant and pro-lipogenic responses in relation to impaired synthesis and accretion of long-chain polyunsaturated fatty acids in rat hepatic and extrahepatic tissues, Nutrition, 45, 49, 10.1016\u002Fj.nut.2017.07.007\nMurali, 2018, Systematic review and meta-analysis to determine the impact of iron depletion in dysmetabolic iron overload syndrome and non-alcoholic fatty liver disease, Hepatol Res, 48, E30, 10.1111\u002Fhepr.12921\nMarra, 2018, Lipotoxicity and the gut-liver axis in NASH pathogenesis, J Hepatol, 68, 280, 10.1016\u002Fj.jhep.2017.11.014\nHenao-Mejia, 2012, Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity, Nature, 482, 179, 10.1038\u002Fnature10809\nZhu, 2013, Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH, Hepatology, 57, 601, 10.1002\u002Fhep.26093\nRodriguez-Carrio, 2017, Free fatty acids profiles are related to gut microbiota signatures and short-chain fatty acids, Front Immunol, 8, 823, 10.3389\u002Ffimmu.2017.00823\nSanyal, 2010, Pioglitazone, vitamin E, or placebo for nonalcoholic steatohepatitis, N Engl J Med, 362, 1675, 10.1056\u002FNEJMoa0907929\nMason, 2016, Ascorbic acid supplementation improves skeletal muscle oxidative stress and insulin sensitivity in people with type 2 diabetes: findings of a randomized controlled study, Free Radic Biol Med, 93, 227, 10.1016\u002Fj.freeradbiomed.2016.01.006\nHonda, 2017, Efficacy of glutathione for the treatment of nonalcoholic fatty liver disease: an open-label, single-arm, multicenter, pilot study, BMC Gastroenterol, 17, 96, 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emerging concepts, Physiol Rev, 98, 419, 10.1152\u002Fphysrev.00043.2016\nPoller, 2018, Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives, Eur Heart J, 39, 2704, 10.1093\u002Feurheartj\u002Fehx165\nNakamura, 2018, Mechanisms of physiological and pathological cardiac hypertrophy, Nat Rev Cardiol, 15, 387, 10.1038\u002Fs41569-018-0007-y\nBernardo, 2010, Molecular distinction between physiological and pathological cardiac hypertrophy: experimental findings and therapeutic strategies, Pharmacol Ther, 128, 191, 10.1016\u002Fj.pharmthera.2010.04.005\nWang, 2021, Targets identified from exercised heart: killing multiple birds with one stone, NPJ Regen Med, 6, 10.1038\u002Fs41536-021-00128-0\nBostrom, 2010, C\u002FEBPbeta controls exercise-induced cardiac growth and protects against pathological cardiac remodeling, Cell, 143, 1072, 10.1016\u002Fj.cell.2010.11.036\nBezzerides, 2016, CITED4 induces physiologic hypertrophy and promotes functional recovery after ischemic injury, JCI Insight, 1, 10.1172\u002Fjci.insight.85904\nLerchenmuller, 2020, CITED4 protects against adverse remodeling in response to physiological and pathological stress, Circ Res, 127, 631\nLiu, 2015, miR-222 is necessary for exercise-induced cardiac growth and protects against pathological cardiac remodeling, Cell Metab, 21, 584, 10.1016\u002Fj.cmet.2015.02.014\nShi, 2017, miR-17-3p contributes to exercise-induced cardiac growth and protects against myocardial ischemia-reperfusion injury, Theranostics, 7, 664, 10.7150\u002Fthno.15162\nGao, 2021, Long noncoding RNA cardiac physiological hypertrophy-associated regulator induces cardiac physiological hypertrophy and promotes functional recovery after myocardial ischemia-reperfusion injury, Circulation, 144, 303, 10.1161\u002FCIRCULATIONAHA.120.050446\nLi, 2022, lncExACT1 and DCHS2 regulate physiological and pathological cardiac growth, Circulation, 145, 1218, 10.1161\u002FCIRCULATIONAHA.121.056850\nFernandes, 2011, Aerobic exercise training-induced left ventricular hypertrophy involves regulatory MicroRNAs, decreased angiotensin-converting enzyme-angiotensin II, and synergistic regulation of angiotensin-converting enzyme 2-angiotensin (1-7), Hypertension, 58, 182, 10.1161\u002FHYPERTENSIONAHA.110.168252\nMartinelli, 2014, An analysis of the global expression of microRNAs in an experimental model of physiological left ventricular hypertrophy, PLoS One, 9, 10.1371\u002Fjournal.pone.0093271\nRamasamy, 2015, MiRNAs with apoptosis regulating potential are differentially expressed in chronic exercise-induced physiologically hypertrophied hearts, PLoS One, 10, 10.1371\u002Fjournal.pone.0121401\nMa, 2013, Swimming exercise training-induced left ventricular hypertrophy involves microRNAs and synergistic regulation of the PI3K\u002FAKT\u002FmTOR signaling pathway, Eur J Appl Physiol, 113, 2473, 10.1007\u002Fs00421-013-2685-9\nCare, 2007, MicroRNA-133 controls cardiac hypertrophy, Nat Med, 13, 613, 10.1038\u002Fnm1582\nYang, 2016, Overexpression of miR-223 tips the balance of pro- and anti-hypertrophic signaling cascades toward physiologic cardiac hypertrophy, J Biol Chem, 291, 15700, 10.1074\u002Fjbc.M116.715805\nLi, 2016, miR-199-sponge transgenic mice develop physiological cardiac hypertrophy, Cardiovasc Res, 110, 258, 10.1093\u002Fcvr\u002Fcvw052\nQi, 2020, Downregulation of miR-26b-5p, miR-204-5p, and miR-497-3p expression facilitates exercise-induced physiological cardiac hypertrophy by augmenting autophagy in rats, Front Genet, 11, 10.3389\u002Ffgene.2020.00078\nVujic, 2018, Exercise induces new cardiomyocyte generation in the adult mammalian heart, Nat Commun, 9, 10.1038\u002Fs41467-018-04083-1\nZhou, 2021, Exercise downregulates HIPK2 and HIPK2 inhibition protects against myocardial infarction, EbioMedicine, 74, 10.1016\u002Fj.ebiom.2021.103713\nLu, 2018, Anti-microRNA-222 (anti-miR-222) and -181B suppresses growth of tamoxifen-resistant xenografts in mouse by targeting TIMP3 protein and modulating mitogenic signal, J Biol Chem, 293, 10.1074\u002Fjbc.W118.002430\nLin, 2021, Antihypertrophic memory after regression of exercise-induced physiological myocardial hypertrophy is mediated by the long noncoding RNA Mhrt779, Circulation, 143, 2277, 10.1161\u002FCIRCULATIONAHA.120.047000\nWang, 2020, Exercise-mediated regulation of autophagy in the cardiovascular system, J Sport Health Sci, 9, 203, 10.1016\u002Fj.jshs.2019.10.001\nFiuza-Luces, 2018, Exercise benefits in cardiovascular disease: beyond attenuation of traditional risk factors, Nat Rev Cardiol, 15, 731, 10.1038\u002Fs41569-018-0065-1\nOtaka, 2018, Myonectin is an exercise-induced myokine that protects the heart from ischemia-reperfusion injury, Circ Res, 123, 1326, 10.1161\u002FCIRCRESAHA.118.313777\nMakarewich, 2022, Exercise-induced long noncoding RNAs as new players in cardiac hypertrophy, Circulation, 145, 1234, 10.1161\u002FCIRCULATIONAHA.122.059278\nWu, 2022, ADAR2 increases in exercised 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1968, Structural modulations of plasmalemmal vesicles, J Cell Biol, 37, 633, 10.1083\u002Fjcb.37.3.633\nYamada, 1955, The fine structure of the gall bladder epithelium of the mouse, J Biophys Biochem Cytol, 1, 445, 10.1083\u002Fjcb.1.5.445\nParton, 1994, Regulated internalization of caveolae, J Cell Biol, 127, 1199, 10.1083\u002Fjcb.127.5.1199\nPelkmans, 2001, Caveolar endocytosis of simian virus 40 reveals a new two-step vesicular-transport pathway to the ER, Nat Cell Biol, 3, 473, 10.1038\u002F35074539\nPelkmans, 2002, Local actin polymerization and dynamin recruitment in SV40-induced internalization of caveolae, Science, 296, 535, 10.1126\u002Fscience.1069784\nZhou, 2021, Caveolae-mediated endothelial transcytosis across the blood-brain barrier in acute ischemic stroke, J Clin Med, 10, 3795, 10.3390\u002Fjcm10173795\nIto, 2019, Important roles of endothelial caveolin-1 in endothelium-dependent hyperpolarization and ischemic angiogenesis in mice, Am J Physiol Heart Circ Physiol, 316, H900, 10.1152\u002Fajpheart.00589.2018\nZhou, 2021, Caveolae-mediated Tie2 signaling contributes to CCM pathogenesis in a brain endothelial cell-specific Pdcd10-deficient mouse model, Nat Commun, 12, 1\nMylvaganam, 2022, The spectrin cytoskeleton integrates endothelial mechanoresponses, Nat Cell Biol, 24, 1226, 10.1038\u002Fs41556-022-00953-5\nPandit, 2020, Role for caveolin-mediated transcytosis in facilitating transport of large cargoes into the brain via ultrasound, J Control Release, 327, 667, 10.1016\u002Fj.jconrel.2020.09.015\nZhu, 2022, Glycocalyx is critical for blood-brain barrier integrity by suppressing caveolin1–dependent endothelial transcytosis following ischemic stroke, Brain Pathol, 32, 10.1111\u002Fbpa.13006\nRothberg, 1992, Caveolin, a protein component of caveolae membrane coats, Cell, 68, 673, 10.1016\u002F0092-8674(92)90143-Z\nFujimoto, 2000, Isoforms of caveolin-1 and caveolar structure, J Cell Sci, 113, 3509, 10.1242\u002Fjcs.113.19.3509\nScherer, 1995, Caveolin isoforms differ in their N-terminal protein sequence and subcellular distribution. Identification and epitope mapping of an isoform-specific monoclonal antibody probe, J Biol Chem, 270, 16395, 10.1074\u002Fjbc.270.27.16395\nScherer, 1996, Identification, sequence, and expression of caveolin-2 defines a caveolin gene family, Proc Natl Acad Sci, 93, 131, 10.1073\u002Fpnas.93.1.131\nGalbiati, 2001, Caveolae and caveolin-3 in muscular dystrophy, Trends Mol Med, 7, 435, 10.1016\u002FS1471-4914(01)02105-0\nHill, 2008, PTRF-Cavin, a conserved cytoplasmic protein required for caveola formation and function, Cell, 132, 113, 10.1016\u002Fj.cell.2007.11.042\nLiu, 2008, Deletion of Cavin\u002FPTRF causes global loss of caveolae, dyslipidemia, and glucose intolerance, Cell Metab, 8, 310, 10.1016\u002Fj.cmet.2008.07.008\nSong, 1996, Expression of caveolin-3 in skeletal, cardiac, and smooth muscle cells: caveolin-3 is a component of the sarcolemma and co-fractionates with dystrophin and dystrophin-associated glycoproteins, J Biol Chem, 271, 15160, 10.1074\u002Fjbc.271.25.15160\nStan, 2002, Structure and function of endothelial caveolae, Microsc Res Tech, 57, 350, 10.1002\u002Fjemt.10089\nXu, 2017, Inhibitory effect of caveolin-1 in vascular endothelial cells, pericytes and smooth muscle cells, Oncotarget, 8, 76165, 10.18632\u002Foncotarget.19191\nMusial, 2018, Function of AT1 and AT2 receptors in atrial contractions from spontaneous hypertensive and diabetic-induced streptozotocin rats, Clin Exp Pharmacol Physiol, 45, 1274, 10.1111\u002F1440-1681.13019\nTouyz, 2002, Recent advances in angiotensin II signaling, Braz J Med Biol Res, 35, 1001, 10.1590\u002FS0100-879X2002000900001\nDrab, 2001, Loss of caveolae, vascular dysfunction, and pulmonary defects in caveolin-1 gene-disrupted mice, Science, 293, 2449, 10.1126\u002Fscience.1062688\nPorta, 2022, Molecular architecture of the human caveolin-1 complex, Sci Adv, 8, 10.1126\u002Fsciadv.abn7232\nHan, 2022, Design principles of caveolins across metazoa and beyond, bioRxiv\nWong, 2021, Single molecule network analysis identifies structural changes to caveolae and scaffolds due to mutation of the caveolin-1 scaffolding domain, Sci Rep, 11, 1, 10.1038\u002Fs41598-021-86770-6\nCouet, 1997, Identification of peptide and protein ligands for the caveolin-scaffolding domain: implications for the interaction of caveolin with caveolae-associated proteins, J Biol Chem, 272, 6525, 10.1074\u002Fjbc.272.10.6525\nShin, 2019, Fine control of endothelial VEGFR-2 activation: caveolae as fluid shear stress shelters for membrane receptors, Biomech Model Mechanobiol, 18, 5, 10.1007\u002Fs10237-018-1063-2\nSinha, 2011, Cells respond to mechanical stress by rapid disassembly of caveolae, Cell, 144, 402, 10.1016\u002Fj.cell.2010.12.031\nYu, 2006, Direct evidence for the role of caveolin-1 and caveolae in mechanotransduction and remodeling of blood vessels, J Clin Investig, 116, 1284, 10.1172\u002FJCI27100\nTorrino, 2018, EHD2 is a mechanotransducer connecting caveolae dynamics with gene transcription, J Cell Biol, 217, 4092, 10.1083\u002Fjcb.201801122\nMichell, 2021, High intraluminal pressure promotes vascular inflammation via caveolin-1, Sci Rep, 11, 1, 10.1038\u002Fs41598-021-85476-z\nLiu, 2022, Low shear stress inhibits endothelial mitophagy via caveolin-1\u002FmiR-7-5p\u002FSQSTM1 signaling pathway, Atherosclerosis, 356, 9, 10.1016\u002Fj.atherosclerosis.2022.07.014\nLeo, 2020, Cellular microdomains for nitric oxide signaling in endothelium and red blood cells, Nitric Oxide, 96, 44, 10.1016\u002Fj.niox.2020.01.002\nLu, 2017, Role of the endothelial caveolae microdomain in shear stress–mediated coronary vasorelaxation, J Biol Chem, 292, 19013, 10.1074\u002Fjbc.M117.786152\nHashimoto, 2019, Stimulation of caveolin-1 signaling improves arteriovenous fistula patency, Arterioscler, Thromb, Vasc Biol, 39, 754, 10.1161\u002FATVBAHA.119.312417\nBucci, 2000, In vivo delivery of the caveolin-1 scaffolding domain inhibits nitric oxide synthesis and reduces inflammation, Nat Med, 6, 1362, 10.1038\u002F82176\nKhater, 2018, Super resolution network analysis defines the molecular architecture of caveolae and caveolin-1 scaffolds, Sci Rep, 8, 1, 10.1038\u002Fs41598-018-27216-4\nMartens, 2004, Targeting of ion channels to membrane microdomains: localization of KV channels to lipid rafts, Trends Pharmacol Sci, 25, 16, 10.1016\u002Fj.tips.2003.11.007\nMorris, 2006, α1-Adrenergic receptor signaling is localized to caveolae in neonatal rat cardiomyocytes, J Mol Cell Cardiol, 41, 17, 10.1016\u002Fj.yjmcc.2006.03.011\nBalijepalli, 2006, Localization of cardiac L-type Ca2+ channels to a caveolar macromolecular signaling complex is required for β2-adrenergic regulation, Proc Natl Acad Sci, 103, 7500, 10.1073\u002Fpnas.0503465103\nDeLalio, 2018, Interaction between pannexin 1 and caveolin-1 in smooth muscle can regulate blood pressure, Arterioscler, Thromb, Vasc Biol, 38, 2065, 10.1161\u002FATVBAHA.118.311290\nDaneva, 2021, Endothelial pannexin 1–TRPV4 channel signaling lowers pulmonary arterial pressure in mice, eLife, 10, 10.7554\u002FeLife.67777\nDaneva, 2021, Caveolar peroxynitrite formation impairs endothelial TRPV4 channels and elevates pulmonary arterial pressure in pulmonary hypertension, Proc Natl Acad Sci, 118, 10.1073\u002Fpnas.2023130118\nGarcía-Cardeña, 1996, Endothelial nitric oxide synthase is regulated by tyrosine phosphorylation and interacts with caveolin-1, J Biol Chem, 271, 27237, 10.1074\u002Fjbc.271.44.27237\nChidlow, 2010, Caveolae, caveolins, and cavins: complex control of cellular signalling and inflammation, Cardiovasc Res, 86, 219, 10.1093\u002Fcvr\u002Fcvq075\nShu, 2015, Endothelial nitric oxide synthase in the microcirculation, Cell Mol Life Sci, 72, 4561, 10.1007\u002Fs00018-015-2021-0\nJu, 1997, Direct interaction of endothelial nitric-oxide synthase and caveolin-1 inhibits synthase activity, J Biol Chem, 272, 18522, 10.1074\u002Fjbc.272.30.18522\nGarcı́a-Cardeña, 1997, Dissecting the interaction between nitric oxide synthase (NOS) and caveolin: functional significance of the NOS caveolin binding domain in vivo, J Biol Chem, 272, 25437, 10.1074\u002Fjbc.272.41.25437\nChen, 2018, Reciprocal regulation of eNOS and caveolin-1 functions in endothelial cells, Mol Biol Cell, 29, 1190, 10.1091\u002Fmbc.E17-01-0049\nTrane, 2015, Caveolin-1 scaffolding domain residue phenylalanine 92 modulates Akt signaling, Eur J Pharmacol, 766, 46, 10.1016\u002Fj.ejphar.2015.09.033\nPiazza, 2016, Structural studies of a complex between endothelial nitric oxide synthase and calmodulin at physiological calcium concentration, Biochemistry, 55, 5962, 10.1021\u002Facs.biochem.6b00821\nChen, 2012, Nitric oxide–dependent Src activation and resultant caveolin-1 phosphorylation promote eNOS\u002Fcaveolin-1 binding and eNOS inhibition, Mol Biol Cell, 23, 1388, 10.1091\u002Fmbc.e11-09-0811\nWang, 2022, mTOR contributes to endothelium-dependent vasorelaxation by promoting eNOS expression and preventing eNOS uncoupling, Commun Biol, 5, 726, 10.1038\u002Fs42003-022-03653-w\nTakaya, 2007, A specific role for eNOS-derived reactive oxygen species in atherosclerosis progression, Arterioscler, Thromb, Vasc Biol, 27, 1632, 10.1161\u002FATVBAHA.107.142182\nSantana, 2018, Resistance exercise mediates remote ischemic preconditioning by limiting cardiac eNOS uncoupling, J Mol Cell Cardiol, 125, 61, 10.1016\u002Fj.yjmcc.2018.10.016\nAoki, 1999, Tyrosine phosphorylation of caveolin-1 in the endothelium, Exp Cell Res, 253, 629, 10.1006\u002Fexcr.1999.4652\nPotje, 2019, Reduced caveolae density in arteries of SHR contributes to endothelial dysfunction and ROS production, Sci Rep, 9, 1, 10.1038\u002Fs41598-019-43193-8\nOliveira, 2017, Inflammation-induced caveolin-1 and BMPRII depletion promotes endothelial dysfunction and TGF-β-driven pulmonary vascular remodeling, Am J Physiol Lung Cell Mol Physiol, 312, L760, 10.1152\u002Fajplung.00484.2016\nGodo, 2016, Disruption of physiological balance between nitric oxide and endothelium-dependent hyperpolarization impairs cardiovascular homeostasis in mice, Arterioscler, Thromb, Vasc Biol, 36, 97, 10.1161\u002FATVBAHA.115.306499\nPetrova, 2020, Biological functions of lymphatic vessels, Science, 369, 10.1126\u002Fscience.aax4063\nTriacca, 2017, Transcellular pathways in lymphatic endothelial cells regulate changes in solute transport by fluid stress, Circ Res, 120, 1440, 10.1161\u002FCIRCRESAHA.116.309828\nBaranwal, 2021, Dichotomous effects on lymphatic transport with loss of caveolae in mice, Acta Physiol, 232, 10.1111\u002Fapha.13656\nFernández-Hernando, 2009, Genetic evidence supporting a critical role of endothelial caveolin-1 during the progression of atherosclerosis, Cell Metab, 10, 48, 10.1016\u002Fj.cmet.2009.06.003\nFernández-Hernando, 2010, Endothelial-specific overexpression of caveolin-1 accelerates atherosclerosis in apolipoprotein E-deficient mice, Am J Pathol, 177, 998, 10.2353\u002Fajpath.2010.091287\nWang, 2011, 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2008, Scleraxis is required for cell lineage differentiation and extracellular matrix remodeling during murine heart valve formation in vivo, Circ Res, 103, 948, 10.1161\u002FCIRCRESAHA.108.177238\nMurchison, 2007, Regulation of tendon differentiation by scleraxis distinguishes force-transmitting tendons from muscle-anchoring tendons, Development, 134, 2697, 10.1242\u002Fdev.001933\nCserjesi, 1995, Scleraxis: a basic helix-loop-helix protein that prefigures skeletal formation during mouse embryogenesis, Development, 121, 1099, 10.1242\u002Fdev.121.4.1099\nMuir, 2008, Integration of CREB and bHLH transcriptional signaling pathways through direct heterodimerization of the proteins: role in muscle and testis development, Mol Reprod Dev, 75, 1637, 10.1002\u002Fmrd.20902\nBagchi, 2012, Synergistic roles of scleraxis and Smads in the regulation of collagen 1alpha2 gene expression, Biochim Biophys Acta, 1823, 1936, 10.1016\u002Fj.bbamcr.2012.07.002\nBerthet, 2013, Smad3 binds scleraxis and mohawk and regulates tendon matrix organization, J Orthop Res, 31, 1475, 10.1002\u002Fjor.22382\nBagchi, 2016, The transcription factor scleraxis is a critical regulator of cardiac fibroblast phenotype, BMC Biol, 14, 21, 10.1186\u002Fs12915-016-0243-8\nSchweitzer, 2001, Analysis of the tendon cell fate using scleraxis, a specific marker for tendons and ligaments, Development, 128, 3855, 10.1242\u002Fdev.128.19.3855\nAsou, 2002, Coordinated expression of scleraxis and Sox9 genes during embryonic development of tendons and cartilage, J Orthop Res, 20, 827, 10.1016\u002FS0736-0266(01)00169-3\nBavin, 2017, Scleraxis is essential for tendon differentiation by equine embryonic stem cells and in equine fetal tenocytes, Stem Cells Dev, 26, 441, 10.1089\u002Fscd.2016.0279\nDyment, 2013, The paratenon contributes to scleraxis-expressing cells during patellar tendon healing, PLOS ONE, 8, e59944, 10.1371\u002Fjournal.pone.0059944\nChen, 2014, Scleraxis-overexpressed human embryonic stem cell-derived mesenchymal stem cells for tendon tissue engineering with knitted silk-collagen scaffold, Tissue Eng Part A, 20, 1583, 10.1089\u002Ften.tea.2012.0656\nHsieh, 2016, Scaffold-free scleraxis-programmed tendon progenitors aid in significantly enhanced repair of full-size Achilles tendon rupture, Nanomedicine (Lond), 11, 1153, 10.2217\u002Fnnm.16.34\nKalluri, 2003, Epithelial-mesenchymal transition and its implications for fibrosis, J Clin Invest, 112, 1776, 10.1172\u002FJCI200320530\nKovacic, 2012, Epithelial-to-mesenchymal and endothelial-to-mesenchymal transition: from cardiovascular development to disease, Circulation, 125, 1795, 10.1161\u002FCIRCULATIONAHA.111.040352\nAcharya, 2012, The bHLH transcription factor Tcf21 is required for lineage-specific EMT of cardiac fibroblast progenitors, Development, 139, 2139, 10.1242\u002Fdev.079970\nKillian, 2016, Scleraxis is required for the development of a functional tendon enthesis, FASEB J, 30, 301, 10.1096\u002Ffj.14-258236\nAlberton, 2012, Conversion of human bone marrow-derived mesenchymal stem cells into tendon progenitor cells by ectopic expression of scleraxis, Stem Cells Dev, 21, 846, 10.1089\u002Fscd.2011.0150\nRoche, 2016, Role of scleraxis in mechanical stretch-mediated regulation of cardiac myofibroblast phenotype, Am J Physiol Cell Physiol, 311, C297, 10.1152\u002Fajpcell.00333.2015\nWilson-Rawls, 2004, Paraxis is a basic helix-loop-helix protein that positively regulates transcription through binding to specific E-box elements, J Biol Chem, 279, 37685, 10.1074\u002Fjbc.M401319200\nBhandari, 2012, SRY induced TCF21 genome-wide targets and cascade of bHLH factors during sertoli cell differentiation and male sex determination in rats, Biol Reprod, 87, 131, 10.1095\u002Fbiolreprod.112.099663\nChen, 2015, Dexamethasone inhibits the differentiation of rat tendon stem cells into tenocytes by targeting the scleraxis gene, J Steroid Biochem Mol Biol, 152, 16, 10.1016\u002Fj.jsbmb.2015.04.010\nSpang, 2016, The tenocyte phenotype of human primary tendon cells in vitro is reduced by glucocorticoids, BMC Musculoskelet Disord, 17, 467, 10.1186\u002Fs12891-016-1328-9\nSpang, 2017, Glutamate signaling through the NMDA receptor reduces the expression of scleraxis in plantaris tendon derived cells, BMC Musculoskelet Disord, 18, 218, 10.1186\u002Fs12891-017-1575-4\nGhebes, 2017, Muscle-secreted factors improve anterior cruciate ligament graft healing: an in vitro and in vivo analysis, Tissue Eng Part A\nLe, 2017, The effect of myostatin (GDF-8) on proliferation and tenocyte differentiation of rat bone marrow-derived mesenchymal stem cells, J Hand Surg Asian Pac Vol, 22, 200, 10.1142\u002FS0218810417500253\nUemura, 2017, Myostatin promotes tenogenic differentiation of C2C12 myoblast cells through Smad3, FEBS Open Biol, 7, 522, 10.1002\u002F2211-5463.12200\nZeglinski, 2016, TGFbeta1 regulates scleraxis expression in primary cardiac myofibroblasts by a Smad-independent mechanism, Am J Physiol Heart Circ Physiol, 310, H239, 10.1152\u002Fajpheart.00584.2015\nLohberger, 2016, Impact of cyclic mechanical stimulation on the expression of extracellular matrix proteins in human primary rotator cuff fibroblasts, Knee Surg Sports Traumatol Arthrosc, 24, 3884, 10.1007\u002Fs00167-015-3790-6\nLiu, 2017, Cystic fibrosis transmembrane conductance regulator mediates tenogenic differentiation of tendon-derived stem cells and tendon repair: accelerating tendon injury healing by intervening in its downstream signaling, FASEB J, 10.1096\u002Ffj.201601181R\nBagchi, 2016, Regulation of scleraxis transcriptional activity by serine phosphorylation, J Mol Cell Cardiol, 92, 140, 10.1016\u002Fj.yjmcc.2016.02.013\nBarnette, 2013, Tgfbeta-Smad and MAPK signaling mediate scleraxis and proteoglycan expression in heart valves, J Mol Cell Cardiol, 65, 137, 10.1016\u002Fj.yjmcc.2013.10.007\nBusch, 2012, Resveratrol modulates interleukin-1beta-induced phosphatidylinositol 3-kinase and nuclear factor kappaB signaling pathways in human tenocytes, J Biol Chem, 287, 38050, 10.1074\u002Fjbc.M112.377028\nLi, 2015, The role of scleraxis in fate determination of mesenchymal stem cells for tenocyte differentiation, Sci Rep, 5, 13149, 10.1038\u002Fsrep13149\nLejard, 2007, Scleraxis and NFATc regulate the expression of the pro-alpha1(I) collagen gene in tendon fibroblasts, J Biol Chem, 282, 17665, 10.1074\u002Fjbc.M610113200\nBagchi, 2016, Regulation of fibronectin gene expression in cardiac fibroblasts by scleraxis, Cell Tissue Res, 366, 381, 10.1007\u002Fs00441-016-2439-1\nEspira, 2009, The basic helix-loop-helix transcription factor scleraxis regulates fibroblast collagen synthesis, J Mol Cell Cardiol, 47, 188, 10.1016\u002Fj.yjmcc.2009.03.024\nAbe, 2012, Scleraxis modulates bone morphogenetic protein 4 (BMP4)-Smad1 protein-smooth muscle alpha-actin (SMA) signal transduction in diabetic nephropathy, J Biol Chem, 287, 20430, 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10.1161\u002FCIRCULATIONAHA.118.036065\nCarrillo-Salinas, 2019, Heart inflammation: immune cell roles and roads to the heart, Am J Pathol, 189, 1482, 10.1016\u002Fj.ajpath.2019.04.009\nLiu, 2019, TLR9 is essential for HMGB1-mediated post-myocardial infarction tissue repair through affecting apoptosis, cardiac healing, and angiogenesis, Cell Death Dis, 10, 480, 10.1038\u002Fs41419-019-1718-7\nRotter Sopasakis, 2019, Toll-like receptor-mediated inflammation markers are strongly induced in heart tissue in patients with cardiac disease under both ischemic and non-ischemic conditions, Int J Cardiol, 293, 238, 10.1016\u002Fj.ijcard.2019.06.033\nZeng, 2020, NLRP3 inflammasome-mediated pyroptosis contributes to the pathogenesis of non-ischemic dilated cardiomyopathy, Redox Biol, 10.1016\u002Fj.redox.2020.101523\nHu, 2020, Cytosolic DNA sensor cGAS plays an essential pathogenetic role in pressure overload-induced heart failure, Am J Physiol Heart Circul Phhysiol, 318, H1525, 10.1152\u002Fajpheart.00097.2020\nTakahashi, 2019, Cardiac nuclear high-mobility group Box 1 ameliorates pathological cardiac hypertrophy by inhibiting DNA damage response, JACC Basic Transl Sci, 4, 234, 10.1016\u002Fj.jacbts.2018.11.011\nPalomer, 2020, SIRT3-mediated inhibition of FOS through histone H3 deacetylation prevents cardiac fibrosis and inflammation, Signal Transduct Targeted Ther, 5, 14, 10.1038\u002Fs41392-020-0114-1\nGhigo, 2014, Myocyte signalling in leucocyte recruitment to the heart, Cardiovasc Res, 102, 270, 10.1093\u002Fcvr\u002Fcvu030\nXiao, 2018, IL-18 cleavage triggers cardiac inflammation and fibrosis upon beta-adrenergic insult, Eur Heart J, 39, 60, 10.1093\u002Feurheartj\u002Fehx261\nAoyagi, 2011, The cardiomyocyte as a source of cytokines in cardiac injury, J Cell Sci Ther, 2012\nZhang, 2019, HMGB1 enhances mechanical stress-induced cardiomyocyte hypertrophy in vitro via the RAGE\u002FERK1\u002F2 signaling pathway, Int J Mol Med, 44, 885\nMarinkovic, 2020, 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