{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T06:00:11Z","timestamp":1790661611609,"version":"4.1.0"},"reference-count":139,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Funct Integr Genomics"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s10142-025-01621-1","type":"journal-article","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T20:41:57Z","timestamp":1748378517000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Zebrafish metabolomics: a comprehensive approach to understanding health and disease"],"prefix":"10.1007","volume":"25","author":[{"given":"A","family":"Vivekaa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jayshree","family":"Nellore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Swetha","family":"Sunkar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,28]]},"reference":[{"key":"1621_CR1","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.tips.2006.10.005","volume":"27","author":"V Adam-Vizi","year":"2006","unstructured":"Adam-Vizi V, Chinopoulos C (2006) Bioenergetics and the formation of mitochondrial reactive oxygen species. Trends Pharmacol Sci 27:639\u2013645. https:\/\/doi.org\/10.1016\/j.tips.2006.10.005","journal-title":"Trends Pharmacol Sci"},{"key":"1621_CR2","doi-asserted-by":"publisher","first-page":"G833","DOI":"10.1152\/ajpgi.90245.2008","volume":"295","author":"JM Ajmo","year":"2008","unstructured":"Ajmo JM, Liang X, Rogers CQ, Pennock B, You M (2008) Resveratrol alleviates alcoholic fatty liver in mice. Am J Physiol Gastrointest Liver Physiol 295:G833\u2013G842. https:\/\/doi.org\/10.1152\/ajpgi.90245.2008","journal-title":"Am J Physiol Gastrointest Liver Physiol"},{"key":"1621_CR3","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1038\/nrneurol.2016.182","volume":"13","author":"A Al-Chalabi","year":"2017","unstructured":"Al-Chalabi A, van den Berg LH, Veldink J (2017) Gene discovery in amyotrophic lateral sclerosis: implications for clinical management. Nat Rev Neurol 13:96\u2013104. https:\/\/doi.org\/10.1038\/nrneurol.2016.182","journal-title":"Nat Rev Neurol"},{"key":"1621_CR4","doi-asserted-by":"publisher","first-page":"231","DOI":"10.3390\/metabo10060231","volume":"10","author":"J Aldana","year":"2020","unstructured":"Aldana J, Romero-Otero A, Cala MP (2020) Exploring the lipidome: current lipid extraction techniques for mass spectrometry analysis. Metabolites 10:231. https:\/\/doi.org\/10.3390\/metabo10060231","journal-title":"Metabolites"},{"key":"1621_CR5","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s12551-018-0494-7","volume":"11","author":"M Ali","year":"2019","unstructured":"Ali M, Aittokallio T (2019) Machine learning and feature selection for drug response prediction in precision oncology applications. Biophys Rev 11:31\u201339. https:\/\/doi.org\/10.1007\/s12551-018-0494-7","journal-title":"Biophys Rev"},{"key":"1621_CR6","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1124\/pr.108.000547","volume":"60","author":"N Anderson","year":"2008","unstructured":"Anderson N, Borlak J (2008) Molecular mechanisms and therapeutic targets in steatosis and steatohepatitis. Pharmacol Rev 60:311\u2013357. https:\/\/doi.org\/10.1124\/pr.108.000547","journal-title":"Pharmacol Rev"},{"key":"1621_CR7","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/B978-0-12-387036-0.00006-0","volume":"101","author":"JL Anderson","year":"2011","unstructured":"Anderson JL, Carten JD, Farber SA (2011) Zebrafish lipid metabolism: From mediating early patterning to the metabolism of dietary fat and cholesterol. Methods Cell Biol 101:111\u2013141. https:\/\/doi.org\/10.1016\/B978-0-12-387036-0.00006-0","journal-title":"Methods Cell Biol"},{"key":"1621_CR8","doi-asserted-by":"publisher","first-page":"693","DOI":"10.3390\/biomedicines12030693","volume":"12","author":"RS Angom","year":"2024","unstructured":"Angom RS, Nakka NMR (2024) Zebrafish as a model for cardiovascular and metabolic disease: The future of precision medicine. Biomedicines 12:693. https:\/\/doi.org\/10.3390\/biomedicines12030693","journal-title":"Biomedicines"},{"key":"1621_CR9","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1038\/s41467-020-14815-x","volume":"11","author":"K Asakawa","year":"2020","unstructured":"Asakawa K, Handa H, Kawakami K (2020) Optogenetic modulation of TDP-43 oligomerization accelerates ALS-related pathologies in the spinal motor neurons. Nat Commun 11:1004. https:\/\/doi.org\/10.1038\/s41467-020-14815-x","journal-title":"Nat Commun"},{"key":"1621_CR10","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/bs.ctdb.2017.03.005","volume":"124","author":"K Bambino","year":"2017","unstructured":"Bambino K, Chu J (2017) Zebrafish in toxicology and environmental health. Curr Top Dev Biol 124:331\u2013367. https:\/\/doi.org\/10.1016\/bs.ctdb.2017.03.005","journal-title":"Curr Top Dev Biol"},{"key":"1621_CR11","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1002\/cphy.c110041","volume":"2","author":"DP Basile","year":"2012","unstructured":"Basile DP, Anderson MD, Sutton TA (2012) Pathophysiology of acute kidney injury. Compr Physiol 2:1303\u20131353. https:\/\/doi.org\/10.1002\/cphy.c110041","journal-title":"Compr Physiol"},{"key":"1621_CR12","doi-asserted-by":"publisher","first-page":"13417","DOI":"10.3390\/ijms222413417","volume":"22","author":"B Bauer","year":"2021","unstructured":"Bauer B, Mally A, Liedtke D (2021) Zebrafish embryos and larvae as alternative animal models for toxicity testing. Int J Mol Sci 22:13417. https:\/\/doi.org\/10.3390\/ijms222413417","journal-title":"Int J Mol Sci"},{"key":"1621_CR13","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/j.molmed.2012.10.008","volume":"18","author":"RD Berg","year":"2012","unstructured":"Berg RD, Ramakrishnan L (2012) Insights into tuberculosis from the zebrafish model. Trends Mol Med 18:689\u2013690. https:\/\/doi.org\/10.1016\/j.molmed.2012.10.008","journal-title":"Trends Mol Med"},{"key":"1621_CR14","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.neuropharm.2016.06.025","volume":"109","author":"G Bergamini","year":"2016","unstructured":"Bergamini G, Sigrist H, Ferger B, Singewald N, Seifritz E, Pryce CR (2016) Depletion of nucleus accumbens dopamine leads to impaired reward and aversion processing in mice: Relevance to motivation pathologies. Neuropharmacology 109:306\u2013319. https:\/\/doi.org\/10.1016\/j.neuropharm.2016.06.025","journal-title":"Neuropharmacology"},{"key":"1621_CR15","doi-asserted-by":"publisher","first-page":"e3000585","DOI":"10.1371\/journal.pbio.3000585","volume":"18","author":"P Bhattarai","year":"2020","unstructured":"Bhattarai P, Cosacak MI, Mashkaryan V, Demir S, Popova SD, Govindarajan N et al (2020) Neuron-glia interaction through Serotonin-BDNF-NGFR axis enables regenerative neurogenesis in Alzheimer\u2019s model of adult zebrafish brain. PLoS Biol 18:e3000585. https:\/\/doi.org\/10.1371\/journal.pbio.3000585","journal-title":"PLoS Biol"},{"key":"1621_CR16","doi-asserted-by":"publisher","first-page":"730829","DOI":"10.3389\/fphys.2021.7308292","volume":"12","author":"JC Bozelli Jr","year":"2021","unstructured":"Bozelli JC Jr, Azher S, Epand RM (2021) Plasmalogens and chronic inflammatory diseases. Front Physiol 12:730829. https:\/\/doi.org\/10.3389\/fphys.2021.7308292","journal-title":"Front Physiol"},{"key":"1621_CR17","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1056\/NEJMra1603471","volume":"377","author":"RH Brown","year":"2017","unstructured":"Brown RH, Al-Chalabi A (2017) Amyotrophic lateral sclerosis. N Engl J Med 377:162\u2013172. https:\/\/doi.org\/10.1056\/NEJMra1603471","journal-title":"N Engl J Med"},{"key":"1621_CR18","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1021\/acs.analchem.7b04733","volume":"90","author":"AR Buchberger","year":"2018","unstructured":"Buchberger AR, DeLaney K, Johnson J, Li L (2018) Mass spectrometry imaging: a review of emerging advancements and future insights. Anal Chem 90:240\u2013265. https:\/\/doi.org\/10.1021\/acs.analchem.7b04733","journal-title":"Anal Chem"},{"key":"1621_CR19","doi-asserted-by":"publisher","first-page":"100072","DOI":"10.1016\/j.mcpro.2021.100072","volume":"20","author":"P Chang","year":"2021","unstructured":"Chang P, Niu Y, Zhang X, Zhang J, Wang X, Shen X, Chen B, Yu J (2021) Integrative proteomic and metabolomic analysis reveals metabolic phenotype in mice with cardiac-specific deletion of natriuretic peptide receptor A. Mol Cell Proteomics 20:100072. https:\/\/doi.org\/10.1016\/j.mcpro.2021.100072","journal-title":"Mol Cell Proteomics"},{"key":"1621_CR20","doi-asserted-by":"publisher","first-page":"109100","DOI":"10.1016\/j.cbpc.2021.109100","volume":"249","author":"C Feng","year":"2021","unstructured":"Feng C, Sarigaiqiqige LW, Chen H, Dong W, Yang J (2021) Effect of dark environment on intestinal flora and expression of genes related to liver metabolism in zebrafish (Danio rerio). Comp Biochem Physiol C Toxicol Pharmacol 249:109100. https:\/\/doi.org\/10.1016\/j.cbpc.2021.109100","journal-title":"Comp Biochem Physiol C Toxicol Pharmacol"},{"key":"1621_CR21","doi-asserted-by":"publisher","first-page":"117852","DOI":"10.1016\/j.trac.2024.117852","volume":"178","author":"J Chi","year":"2024","unstructured":"Chi J et al (2024) Artificial intelligence in metabolomics: a current review. TrAC Trends Anal Chem 178:117852. https:\/\/doi.org\/10.1016\/j.trac.2024.117852","journal-title":"TrAC Trends Anal Chem"},{"key":"1621_CR22","doi-asserted-by":"publisher","first-page":"940484","DOI":"10.3389\/fnmol.2022.940484","volume":"15","author":"K Chia","year":"2022","unstructured":"Chia K, Klingseisen A, Sieger D, Priller J (2022) Zebrafish as a model organism for neurodegenerative disease. Front Mol Neurosci 15:940484. https:\/\/doi.org\/10.3389\/fnmol.2022.940484","journal-title":"Front Mol Neurosci"},{"key":"1621_CR23","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1038\/s12276-021-00591-6","volume":"53","author":"TY Choi","year":"2021","unstructured":"Choi TY, Choi TI, Lee YR, Lee J, Park JC, Jeong SY et al (2021) Zebrafish as an animal model for biomedical research. Exp Mol Med 53:310\u2013317. https:\/\/doi.org\/10.1038\/s12276-021-00591-6","journal-title":"Exp Mol Med"},{"key":"1621_CR24","doi-asserted-by":"publisher","first-page":"703","DOI":"10.3389\/fphar.2018.00703","volume":"9","author":"C Cornet","year":"2018","unstructured":"Cornet C, Di Donato V, Terriente J (2018) Combining zebrafish and CRISPR\/Cas9: Toward a more efficient drug discovery pipeline. Front Pharmacol 9:703. https:\/\/doi.org\/10.3389\/fphar.2018.00703","journal-title":"Front Pharmacol"},{"key":"1621_CR25","doi-asserted-by":"publisher","first-page":"12959","DOI":"10.1038\/s41598-017-13311-5","volume":"7","author":"MI Cosacak","year":"2017","unstructured":"Cosacak MI, Bhattarai P, Bocova L, Dzewas T, Mashkaryan V, Papadimitriou C et al (2017) Human TAUP301L overexpression results in TAU hyperphosphorylation without neurofibrillary tangles in adult zebrafish brain. Sci Rep 7:12959. https:\/\/doi.org\/10.1038\/s41598-017-13311-5","journal-title":"Sci Rep"},{"issue":"Suppl 3","key":"1621_CR26","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1111\/j.1440-1746.2006.04599.x","volume":"21","author":"DW Crabb","year":"2006","unstructured":"Crabb DW, Liangpunsakul S (2006) Alcohol and lipid metabolism. J Gastroenterol Hepatol 21(Suppl 3):11\u201315. https:\/\/doi.org\/10.1111\/j.1440-1746.2006.04599.x","journal-title":"J Gastroenterol Hepatol"},{"key":"1621_CR27","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1242\/dmm.016089","volume":"7","author":"MR Cronan","year":"2014","unstructured":"Cronan MR, Tobin DM (2014) Fit for consumption: zebrafish as a model for tuberculosis. Dis Model Mech 7:777\u2013784. https:\/\/doi.org\/10.1242\/dmm.016089","journal-title":"Dis Model Mech"},{"key":"1621_CR28","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.neuroscience.2017.10.018","volume":"367","author":"A Cronin","year":"2017","unstructured":"Cronin A, Grealy M (2017) Neuroprotective and neuro-restorative effects of minocycline and rasagiline in a zebrafish 6-hydroxydopamine model of Parkinson\u2019s disease. Neuroscience 367:34\u201346. https:\/\/doi.org\/10.1016\/j.neuroscience.2017.10.018","journal-title":"Neuroscience"},{"key":"1621_CR29","doi-asserted-by":"publisher","first-page":"13356","DOI":"10.3390\/ijms222413356","volume":"22","author":"L Crouzier","year":"2021","unstructured":"Crouzier L, Richard EM, Sourbron J, Lagae L, Maurice T, Delprat B (2021) Use of zebrafish models to boost research in rare genetic diseases. Int J Mol Sci 22:13356. https:\/\/doi.org\/10.3390\/ijms222413356","journal-title":"Int J Mol Sci"},{"key":"1621_CR30","doi-asserted-by":"publisher","first-page":"635","DOI":"10.3390\/metabo11090635","volume":"11","author":"KM da Silva","year":"2021","unstructured":"da Silva KM, Iturrospe E, Bars C, Knapen D, Van Cruchten S, Covaci A, van Nuijs ALN (2021) Mass spectrometry-based zebrafish toxicometabolomics: a review of analytical and data quality challenges. Metabolites 11:635. https:\/\/doi.org\/10.3390\/metabo11090635","journal-title":"Metabolites"},{"key":"1621_CR31","doi-asserted-by":"publisher","first-page":"C1270","DOI":"10.1152\/ajpcell.2000.279.4.C1270","volume":"279","author":"PC Dagher","year":"2000","unstructured":"Dagher PC (2000) Modeling ischemia in vitro: Selective depletion of adenine and guanine nucleotide pools. Am J Physiol Cell Physiol 279:C1270\u2013C1278. https:\/\/doi.org\/10.1152\/ajpcell.2000.279.4.C1270","journal-title":"Am J Physiol Cell Physiol"},{"key":"1621_CR32","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.ymben.2017.01.008","volume":"43","author":"Z Dai","year":"2017","unstructured":"Dai Z, Locasale JW (2017) Understanding metabolism with flux analysis: from theory to application. Metab Eng 43:94\u2013102. https:\/\/doi.org\/10.1016\/j.ymben.2017.01.008","journal-title":"Metab Eng"},{"key":"1621_CR33","doi-asserted-by":"publisher","first-page":"dmm049147","DOI":"10.1242\/dmm.049147","volume":"15","author":"NJ Dal Knudsen","year":"2022","unstructured":"Dal Knudsen NJ, Speth M, Johann K, Barz M, Beauvineau C, Wohlmann J, Fenaroli F, Gicquel B, Griffiths G, Alonso-Rodriguez N (2022) The zebrafish embryo as an in vivo model for screening nanoparticle-formulated lipophilic anti-tuberculosis compounds. Dis Model Mech 15:dmm049147. https:\/\/doi.org\/10.1242\/dmm.049147","journal-title":"Dis Model Mech"},{"key":"1621_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ynstr.2021.100405","volume":"15","author":"MS de Abreu","year":"2021","unstructured":"de Abreu MS, Demin KA, Giacomini ACVV, Amstislavskaya TG, Strekalova T, Maslov GO et al (2021) Understanding how stress responses and stress-related behaviors have evolved in zebrafish and mammals. Neurobiol Stress 15:100405. https:\/\/doi.org\/10.1016\/j.ynstr.2021.100405","journal-title":"Neurobiol Stress"},{"key":"1621_CR35","doi-asserted-by":"publisher","first-page":"e0213665","DOI":"10.1371\/journal.pone.0213665","volume":"14","author":"SS Dhillon","year":"2019","unstructured":"Dhillon SS, Torell F, Donten M, Lundstedt-Enkel K, Bennett K, R\u00e4nnar S et al (2019) Metabolic profiling of zebrafish embryo development from blastula period to early larval stages. PLoS ONE 14:e0213665. https:\/\/doi.org\/10.1371\/journal.pone.0213665","journal-title":"PLoS ONE"},{"key":"1621_CR36","doi-asserted-by":"publisher","first-page":"116985","DOI":"10.1016\/j.trac.2023.116985","volume":"160","author":"Yu Di","year":"2023","unstructured":"Di Yu, Zhou L, Liu X, Xu G (2023) Stable isotope-resolved metabolomics based on mass spectrometry: Methods and their applications. TrAC Trends Anal Chem 160:116985. https:\/\/doi.org\/10.1016\/j.trac.2023.116985","journal-title":"TrAC Trends Anal Chem"},{"key":"1621_CR37","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fcell.2019.00015","volume":"7","author":"T Dickmeis","year":"2019","unstructured":"Dickmeis T, Feng Y, Mione MC, Ninov N, Santoro M, Spaink HP et al (2019) Nano-sampling and reporter tools to study metabolic regulation in zebrafish. Front Cell Dev Biol 7:15. https:\/\/doi.org\/10.3389\/fcell.2019.00015","journal-title":"Front Cell Dev Biol"},{"key":"1621_CR38","doi-asserted-by":"publisher","first-page":"11635","DOI":"10.1038\/s41598-020-68408-6","volume":"10","author":"Y Ding","year":"2020","unstructured":"Ding Y, Raterink RJ, Mar\u00edn-Juez R, Veneman WJ, Egbers K, van den Eeden S et al (2020) Tuberculosis causes highly conserved metabolic changes in human patients, Mycobacteria-infected mice, and zebrafish larvae. Sci Rep 10:11635. https:\/\/doi.org\/10.1038\/s41598-020-68408-6","journal-title":"Sci Rep"},{"key":"1621_CR39","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1186\/s13578-021-00642-015","volume":"11","author":"Y Ding","year":"2021","unstructured":"Ding Y, Haks MC, Forn-Cun\u00ed G, He J, Nowik N, Harms AC et al (2021) Metabolomic and transcriptomic profiling of adult mice and larval zebrafish leptin mutants reveal a common pattern of changes in metabolites and signaling pathways. Cell Biosci 11:126. https:\/\/doi.org\/10.1186\/s13578-021-00642-015","journal-title":"Cell Biosci"},{"key":"1621_CR40","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-030-57328-8_9","volume":"1336","author":"N Drouin","year":"2021","unstructured":"Drouin N, Ramautar R (2021) Capillary electrophoresis-mass spectrometry for metabolomics: possibilities and perspectives. Adv Exp Med Biol 1336:159\u2013178. https:\/\/doi.org\/10.1007\/978-3-030-57328-8_9","journal-title":"Adv Exp Med Biol"},{"key":"1621_CR41","doi-asserted-by":"publisher","first-page":"202","DOI":"10.3390\/metabo10050202","volume":"10","author":"T Eicher","year":"2020","unstructured":"Eicher T, Kinnebrew G, Patt A, Spencer K, Ying K, Ma Q, Machiraju R, Math\u00e9 EA (2020) Metabolomics and multi-omics integration: A survey of computational methods and resources. Metabolites 10:202. https:\/\/doi.org\/10.3390\/metabo10050202","journal-title":"Metabolites"},{"key":"1621_CR42","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-023-03094-4","author":"YL Fan","year":"2023","unstructured":"Fan YL, Hsu F, Wang Y, Liao LD (2023) Unlocking the potential of zebrafish research with artificial intelligence: Advancements in tracking, processing, and visualization. Med Biol Eng Comput. https:\/\/doi.org\/10.1007\/s11517-023-03094-4","journal-title":"Med Biol Eng Comput"},{"key":"1621_CR43","doi-asserted-by":"publisher","first-page":"3641","DOI":"10.1039\/d3fo00464a","volume":"14","author":"J Feng","year":"2023","unstructured":"Feng J, Chen X, Wang S, Zhang J, Wang Q, Guo S et al (2023) Transcriptomics integrated with metabolomics reveals the ameliorating effect of mussel-derived plasmalogens on high-fat diet-induced hyperlipidemia in zebrafish. Food Funct 14:3641\u20133658. https:\/\/doi.org\/10.1039\/d3fo00464a","journal-title":"Food Funct"},{"key":"1621_CR44","doi-asserted-by":"publisher","first-page":"4643","DOI":"10.3390\/ijms22094643","volume":"22","author":"R Franco","year":"2021","unstructured":"Franco R, Rivas-Santisteban R, Navarro G, Pinna A, Reyes-Resina I (2021) Genes implicated in familial Parkinson\u2019s disease provide a dual picture of nigral dopaminergic neurodegeneration with mitochondria taking center stage. Int J Mol Sci 22:4643. https:\/\/doi.org\/10.3390\/ijms22094643","journal-title":"Int J Mol Sci"},{"key":"1621_CR45","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1038\/nrneurol.2009.215","volume":"6","author":"GB Frisoni","year":"2010","unstructured":"Frisoni GB, Fox NC, Jack CR, Scheltens P, Thompson PM (2010) The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol 6:67\u201377. https:\/\/doi.org\/10.1038\/nrneurol.2009.215","journal-title":"Nat Rev Neurol"},{"key":"1621_CR46","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1085\/jgp.201110708","volume":"139","author":"CA Galloway","year":"2012","unstructured":"Galloway CA, Yoon Y (2012) Perspectives on: SGP Symposium on Mitochondrial Physiology and Medicine: What comes first? Misshape or dysfunction? The view from metabolic excess. J Gen Physiol 139:455\u2013463. https:\/\/doi.org\/10.1085\/jgp.201110708","journal-title":"J Gen Physiol"},{"key":"1621_CR47","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/s00204-017-2055-2","volume":"92","author":"R Gorgulho","year":"2018","unstructured":"Gorgulho R, Jacinto R, Lopes SS, Pereira SA, Tranfield EM, Martins GG et al (2018) Usefulness of zebrafish larvae to evaluate drug-induced functional and morphological renal tubular alterations. Arch Toxicol 92:411\u2013423. https:\/\/doi.org\/10.1007\/s00204-017-2055-2","journal-title":"Arch Toxicol"},{"key":"1621_CR48","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1152\/physrev.00024.2016","volume":"97","author":"P Gut","year":"2017","unstructured":"Gut P, Reischauer S, Stainier DYR, Arnaout R (2017) Little fish, big data: Zebrafish as a model for cardiovascular and metabolic disease. Physiol Rev 97:889\u2013938. https:\/\/doi.org\/10.1152\/physrev.00024.2016","journal-title":"Physiol Rev"},{"key":"1621_CR50","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1038\/nature12111","volume":"496","author":"K Howe","year":"2013","unstructured":"Howe K, Clark MD, Torroja CF, Torrance J, Berthelot C, Muffato M et al (2013) The zebrafish reference genome sequence and its relationship to the human genome. Nature 496:498\u2013503. https:\/\/doi.org\/10.1038\/nature12111","journal-title":"Nature"},{"key":"1621_CR51","doi-asserted-by":"publisher","first-page":"D758","DOI":"10.1093\/nar\/gkw1116","volume":"45","author":"DG Howe","year":"2017","unstructured":"Howe DG, Bradford YM, Eagle A, Fashena D, Frazer K, Kalita P, Mani P, Martin R, Moxon ST, Paddock H, Pich C, Ramachandran S, Ruzicka L, Schaper K, Shao X, Singer A, Toro S, Van Slyke C, Westerfield M (2017) The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Res 45:D758\u2013D768. https:\/\/doi.org\/10.1093\/nar\/gkw1116","journal-title":"Nucleic Acids Res"},{"key":"1621_CR52","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/978-1-61779-027-0_29","volume":"719","author":"ZZ Hu","year":"2011","unstructured":"Hu ZZ, Huang H, Wu CH, Jung M, Dritschilo A, Riegel AT, Wellstein A (2011) Omics-based molecular target and biomarker identification. Methods Mol Biol 719:547\u2013571. https:\/\/doi.org\/10.1007\/978-1-61779-027-0_29","journal-title":"Methods Mol Biol"},{"key":"1621_CR53","doi-asserted-by":"publisher","first-page":"1372","DOI":"10.1039\/c3mb25521a","volume":"9","author":"SM Huang","year":"2013","unstructured":"Huang SM, Xu F, Lam SH, Gong Z, Ong CN (2013a) Metabolomics of developing zebrafish embryos using gas chromatography- and liquid chromatography-mass spectrometry. Mol Biosyst 9:1372\u20131380. https:\/\/doi.org\/10.1039\/c3mb25521a","journal-title":"Mol Biosyst"},{"key":"1621_CR54","doi-asserted-by":"crossref","unstructured":"Huang SM, Xu F, Lam SH, Gong Z, Ong CN (2013b) Metabolomics of developing zebrafish embryos using gas chromatography- and liquid chromatography-mass spectrometry. Mol Biosyst 9: 1372\u20131380. https:\/\/pubmed.ncbi.nlm.nih.gov\/23475132","DOI":"10.1039\/c3mb25450j"},{"key":"1621_CR55","doi-asserted-by":"publisher","first-page":"21902","DOI":"10.1038\/s41598-024-72863-5","volume":"14","author":"S Jacob","year":"2024","unstructured":"Jacob S, Abuarja T, Shaath R, Hasan W, Balayya S, Abdelrahman D, Almana K, Afreen H, Hani A, Nomikos M, Fakhro K, Elrayess MA, Da\u2019as SI (2024) Deciphering metabolomics and lipidomics landscape in zebrafish hypertrophic cardiomyopathy model. Sci Rep 14:21902. https:\/\/doi.org\/10.1038\/s41598-024-72863-5","journal-title":"Sci Rep"},{"key":"1621_CR56","doi-asserted-by":"publisher","first-page":"2001","DOI":"10.1039\/c2mb25161a","volume":"8","author":"ZH Jang","year":"2012","unstructured":"Jang ZH, Chung HC, Ahn YG, Kwon Y, Kim JS, Ryu JH et al (2012) Metabolic profiling of an alcoholic fatty liver in zebrafish (Danio rerio). Mol Biosyst 8:2001\u20132009. https:\/\/doi.org\/10.1039\/c2mb25161a","journal-title":"Mol Biosyst"},{"key":"1621_CR57","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1016\/j.cell.2018.03.055","volume":"173","author":"C Jang","year":"2018","unstructured":"Jang C, Chen L, Rabinowitz JD (2018) Metabolomics and isotope tracing. Cell 173:822\u2013837. https:\/\/doi.org\/10.1016\/j.cell.2018.03.055","journal-title":"Cell"},{"key":"1621_CR58","doi-asserted-by":"publisher","first-page":"5415","DOI":"10.1073\/pnas.79.17.5415","volume":"79","author":"S Ji","year":"1982","unstructured":"Ji S, Lemasters JJ, Christenson V, Thurman RG (1982) Periportal and pericentral pyridine nucleotide fluorescence from the surface of the perfused liver: Evaluation of the hypothesis that chronic treatment with ethanol produces pericentral hypoxia. Proc Natl Acad Sci USA 79:5415\u20135419. https:\/\/doi.org\/10.1073\/pnas.79.17.5415","journal-title":"Proc Natl Acad Sci USA"},{"key":"1621_CR59","doi-asserted-by":"publisher","first-page":"3204","DOI":"10.3390\/ani14223204","volume":"14","author":"R Jia","year":"2024","unstructured":"Jia R, Hou Y, Zhou L, Zhang L, Li B, Zhu J (2024) Comparative transcriptome analysis reveals the impact of a high-fat diet on hepatic metabolic function in Tilapia (Oreochromis niloticus). Animals 14:3204. https:\/\/doi.org\/10.3390\/ani14223204","journal-title":"Animals"},{"key":"1621_CR60","doi-asserted-by":"publisher","first-page":"e2994","DOI":"10.7717\/peerj.2994","volume":"5","author":"A Johnson","year":"2017","unstructured":"Johnson A, Hamilton TJ (2017) Modafinil decreases anxiety-like behaviour in zebrafish. PeerJ 5:e2994. https:\/\/doi.org\/10.7717\/peerj.2994","journal-title":"PeerJ"},{"key":"1621_CR61","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.pbb.2017.01.001","volume":"157","author":"V Kacprzak","year":"2017","unstructured":"Kacprzak V, Patel NA, Riley E, Yu L, Yeh JJ, Zhdanova IV (2017) Dopaminergic control of anxiety in young and aged zebrafish. Pharmacol Biochem Behav 157:1\u20138. https:\/\/doi.org\/10.1016\/j.pbb.2017.01.001","journal-title":"Pharmacol Biochem Behav"},{"key":"1621_CR62","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.tips.2013.12.002","volume":"35","author":"AV Kalueff","year":"2014","unstructured":"Kalueff AV, Stewart AM, Gerlai R (2014) Zebrafish as an emerging model for studying complex brain disorders. Trends Pharmacol Sci 35:63\u201375. https:\/\/doi.org\/10.1016\/j.tips.2013.12.002","journal-title":"Trends Pharmacol Sci"},{"key":"1621_CR63","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.neuint.2018.02.002","volume":"115","author":"D Koehler","year":"2018","unstructured":"Koehler D, Shah ZA, Hensley K, Williams FE (2018) Lanthionine ketimine-5-ethyl ester provides neuroprotection in a zebrafish model of okadaic acid-induced Alzheimer\u2019s disease. Neurochem Int 115:61\u201368. https:\/\/doi.org\/10.1016\/j.neuint.2018.02.002","journal-title":"Neurochem Int"},{"key":"1621_CR64","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s11306-011-0293-5","volume":"7","author":"MM Koek","year":"2011","unstructured":"Koek MM, Jellema RH, van der Greef J (2011) Quantitative metabolomics based on gas chromatography mass spectrometry: Status and perspectives. Metabolomics 7:307\u2013328. https:\/\/doi.org\/10.1007\/s11306-011-0293-5","journal-title":"Metabolomics"},{"key":"1621_CR65","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1074\/mcp.M111.015594","volume":"12","author":"A Konzer","year":"2013","unstructured":"Konzer A, Ruhs A, Braun H, Jungblut B, Braun T, Kr\u00fcger M (2013) Stable isotope labeling in zebrafish allows in vivo monitoring of cardiac morphogenesis. Mol Cell Proteomics 12:1502\u20131512. https:\/\/doi.org\/10.1074\/mcp.M111.015594","journal-title":"Mol Cell Proteomics"},{"key":"1621_CR66","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1242\/jeb.091603","volume":"217","author":"RWM Kwong","year":"2014","unstructured":"Kwong RWM, Kumai Y, Perry SF (2014) The physiology of fish at low pH: the zebrafish as a model system. J Exp Biol 217:651\u2013662. https:\/\/doi.org\/10.1242\/jeb.091603","journal-title":"J Exp Biol"},{"key":"1621_CR67","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1002\/ajmg.b.30992","volume":"153","author":"DR Langbehn","year":"2010","unstructured":"Langbehn DR, Hayden MR, Paulsen JS (2010) CAG-repeat length and the age of onset in Huntington disease (HD): a review and validation study of statistical approaches. Am J Med Genet B Neuropsychiatr Genet 153:397\u2013408. https:\/\/doi.org\/10.1002\/ajmg.b.30992","journal-title":"Am J Med Genet B Neuropsychiatr Genet"},{"key":"1621_CR68","doi-asserted-by":"publisher","first-page":"106802","DOI":"10.1016\/j.envint.2021.106802","volume":"157","author":"H Lee","year":"2021","unstructured":"Lee H, Sung EJ, Seo S, Min EK, Lee JY, Shim I, Kim P, Kim TY, Lee S, Kim KT (2021) Integrated multi-omics analysis reveals the underlying molecular mechanism for developmental neurotoxicity of perfluorooctanesulfonic acid in zebrafish. Environ Int 157:106802. https:\/\/doi.org\/10.1016\/j.envint.2021.106802","journal-title":"Environ Int"},{"key":"1621_CR69","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1021\/ac061577n","volume":"79","author":"Y Li","year":"2007","unstructured":"Li Y, Shrestha B, Vertes A (2007) Atmospheric pressure molecular imaging by infrared MALDI mass spectrometry. Anal Chem 79:523\u2013532. https:\/\/doi.org\/10.1021\/ac061577n","journal-title":"Anal Chem"},{"key":"1621_CR70","doi-asserted-by":"publisher","first-page":"121745","DOI":"10.1016\/j.envpol.2023.121745","volume":"330","author":"Y Li","year":"2023","unstructured":"Li Y, Zhang Z, Wang J, Shan Y, Tian H, Cui P, Ru S (2023a) Zebrafish (Danio rerio) TR\u03b2- and TTR-based electrochemical biosensors: Construction and application for the evaluation of thyroid-disrupting activity of bisphenols. Environ Pollut 330:121745. https:\/\/doi.org\/10.1016\/j.envpol.2023.121745","journal-title":"Environ Pollut"},{"key":"1621_CR71","doi-asserted-by":"publisher","first-page":"106744","DOI":"10.1016\/j.isci.2023.106744","volume":"26","author":"Y Li","year":"2023","unstructured":"Li Y, Zhang L, Mao M, He L, Wang T, Pan Y, Zhao X, Li Z, Mu X, Qian Y, Qiu J (2023b) Multi-omics analysis of a drug-induced model of bipolar disorder in zebrafish. iScience 26:106744. https:\/\/doi.org\/10.1016\/j.isci.2023.106744","journal-title":"iScience"},{"key":"1621_CR72","doi-asserted-by":"publisher","first-page":"123599","DOI":"10.1016\/j.watres.2025.123599","volume":"280","author":"J Li","year":"2025","unstructured":"Li J, Li L, Liang W, Li L, Wang R, Wang Z, Ma C (2025) Spatial multi-omics analysis of metabolic heterogeneity in zebrafish exposed to microcystin-LR and its disinfection byproducts. Water Res 280:123599. https:\/\/doi.org\/10.1016\/j.watres.2025.123599","journal-title":"Water Res"},{"key":"1621_CR73","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/S0009-8981(96)06447-3","volume":"257","author":"CS Lieber","year":"1997","unstructured":"Lieber CS (1997) Ethanol metabolism, cirrhosis, and alcoholism. Clin Chim Acta 257:59\u201384. https:\/\/doi.org\/10.1016\/S0009-8981(96)06447-3","journal-title":"Clin Chim Acta"},{"key":"1621_CR74","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1002\/dneu.22193","volume":"74","author":"BW Lindsey","year":"2014","unstructured":"Lindsey BW, Tropepe V (2014) Changes in the social environment induce neurogenic plasticity predominantly in niches residing in sensory structures of the zebrafish brain independently of cortisol levels. Dev Neurobiol 74:1053\u20131077. https:\/\/doi.org\/10.1002\/dneu.22193","journal-title":"Dev Neurobiol"},{"key":"1621_CR75","doi-asserted-by":"publisher","first-page":"2603","DOI":"10.1007\/s10571-023-01339-3","volume":"43","author":"Y Liu","year":"2023","unstructured":"Liu Y (2023) Zebrafish as a model organism for studying pathologic mechanisms of neurodegenerative diseases and other neural disorders. Cell Mol Neurobiol 43:2603\u20132620. https:\/\/doi.org\/10.1007\/s10571-023-01339-3","journal-title":"Cell Mol Neurobiol"},{"key":"1621_CR76","doi-asserted-by":"publisher","first-page":"3311","DOI":"10.3390\/molecules26113311","volume":"26","author":"R Liu","year":"2021","unstructured":"Liu R, Bao ZX, Zhao PJ, Li GH (2021) Advances in the study of metabolomics and metabolites in some species interactions. Molecules 26:3311. https:\/\/doi.org\/10.3390\/molecules26113311","journal-title":"Molecules"},{"key":"1621_CR77","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1093\/brain\/awx005","volume":"140","author":"A Lopez","year":"2017","unstructured":"Lopez A, Lee SE, Wojta K, Ramos EM, Klein E, Chen J et al (2017) A152T tau allele causes neurodegeneration that can be ameliorated in a zebrafish model by autophagy induction. Brain 140:1128\u20131146. https:\/\/doi.org\/10.1093\/brain\/awx005","journal-title":"Brain"},{"key":"1621_CR78","doi-asserted-by":"publisher","first-page":"e75052","DOI":"10.1371\/journal.pone.0075052","volume":"8","author":"S Luna","year":"2013","unstructured":"Luna S, Cameron DJ, Ethell DW (2013) Amyloid-\u03b2 and app deficiencies cause severe cerebrovascular defects: important work for an old villain. PLoS ONE 8:e75052. https:\/\/doi.org\/10.1371\/journal.pone.0075052","journal-title":"PLoS ONE"},{"key":"1621_CR79","doi-asserted-by":"publisher","first-page":"126839","DOI":"10.1016\/j.jhazmat.2021.126839","volume":"422","author":"W Ma","year":"2022","unstructured":"Ma W, Li J, Li X, Liu H (2022) Enrichment of diamide insecticides from environmental water samples using metal-organic frameworks as adsorbents for determination by liquid chromatography tandem mass spectrometry. J Hazard Mater 422:126839. https:\/\/doi.org\/10.1016\/j.jhazmat.2021.126839","journal-title":"J Hazard Mater"},{"key":"1621_CR80","doi-asserted-by":"publisher","first-page":"15735","DOI":"10.3390\/ijms242115735","volume":"24","author":"E Maffioli","year":"2023","unstructured":"Maffioli E, Nonnis S, Grassi Scalvini F, Negri A, Tedeschi G, Toni M (2023) The neurotoxic effect of environmental temperature variation in adult zebrafish (Danio rerio). Int J Mol Sci 24:15735. https:\/\/doi.org\/10.3390\/ijms242115735","journal-title":"Int J Mol Sci"},{"key":"1621_CR81","doi-asserted-by":"publisher","first-page":"4971","DOI":"10.1073\/pnas.1913904117","volume":"117","author":"AL Mahul-Mellier","year":"2020","unstructured":"Mahul-Mellier AL, Burtscher J, Maharjan N, Weerens L, Croisier M, Kuttler F et al (2020) The process of Lewy body formation, rather than simply \u03b1-synuclein fibrillization, is one of the major drivers of neurodegeneration. Proc Natl Acad Sci USA 117:4971\u20134982. https:\/\/doi.org\/10.1073\/pnas.1913904117","journal-title":"Proc Natl Acad Sci USA"},{"key":"1621_CR82","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1136\/emj.2005.029660","volume":"23","author":"LC McGuire","year":"2006","unstructured":"McGuire LC, Cruickshank AM, Munro PT (2006) Alcoholic ketoacidosis. Emerg Med J 23:417\u2013420. https:\/\/doi.org\/10.1136\/emj.2005.029660","journal-title":"Emerg Med J"},{"key":"1621_CR83","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.1111\/j.1523-1755.2004.00927.x","volume":"66","author":"RL Mehta","year":"2004","unstructured":"Mehta RL, Pascual MT, Soroko S, Savage BR, Himmelfarb J, Ikizler TA et al (2004) Program to Improve Care in Acute Renal Disease. Spectrum of acute renal failure in the intensive care unit: The PICARD experience. Kidney Int 66:1613\u20131621. https:\/\/doi.org\/10.1111\/j.1523-1755.2004.00927.x","journal-title":"Kidney Int"},{"key":"1621_CR84","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s00281-015-0522-4","volume":"38","author":"AH Meijer","year":"2016","unstructured":"Meijer AH (2016) Protection and pathology in TB: learning from the zebrafish model. Semin Immunopathol 38:261\u2013273. https:\/\/doi.org\/10.1007\/s00281-015-0522-4","journal-title":"Semin Immunopathol"},{"key":"1621_CR85","doi-asserted-by":"publisher","first-page":"1496","DOI":"10.3390\/biomedicines12071496","volume":"12","author":"AE Mohr","year":"2024","unstructured":"Mohr AE, Ortega-Santos CP, Whisner CM, Klein-Seetharaman J, Jasbi P (2024) Navigating challenges and opportunities in multi-omics integration for personalized healthcare. Biomedicines 12:1496. https:\/\/doi.org\/10.3390\/biomedicines12071496","journal-title":"Biomedicines"},{"key":"1621_CR86","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.3389\/fphar.2018.01193","volume":"9","author":"J Morello","year":"2018","unstructured":"Morello J, Derks RJE, Lopes SS, Steenvoorden E, Monteiro EC, Mayboroda OA et al (2018) Zebrafish larvae are a suitable model to investigate the metabolic phenotype of drug-induced renal tubular injury. Front Pharmacol 9:1193. https:\/\/doi.org\/10.3389\/fphar.2018.01193","journal-title":"Front Pharmacol"},{"key":"1621_CR87","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/S0079-6123(09)17907-7","volume":"179","author":"JA Morris","year":"2009","unstructured":"Morris JA (2009) Zebrafish: a model system to examine the neurodevelopmental basis of schizophrenia. Prog Brain Res 179:97\u2013106. https:\/\/doi.org\/10.1016\/S0079-6123(09)17907-7","journal-title":"Prog Brain Res"},{"key":"1621_CR88","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1111\/nph.12385","volume":"200","author":"T Moses","year":"2013","unstructured":"Moses T, Pollier J, Thevelein JM, Goossens A (2013) Bioengineering of plant (tri)terpenoids: From metabolic engineering of plants to synthetic biology in vivo and in vitro. New Phytol 200:27\u201343. https:\/\/doi.org\/10.1111\/nph.12385","journal-title":"New Phytol"},{"key":"1621_CR89","doi-asserted-by":"publisher","first-page":"86","DOI":"10.2174\/1871527314666150821105602","volume":"15","author":"SE Nada","year":"2016","unstructured":"Nada SE, Williams FE, Shah ZA (2016) Development of a novel and robust pharmacological model of okadaic acid-induced Alzheimer\u2019s disease in zebrafish. CNS Neurol Disord Drug Targets 15:86\u201394. https:\/\/doi.org\/10.2174\/1871527314666150821105602","journal-title":"CNS Neurol Disord Drug Targets"},{"key":"1621_CR90","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1016\/j.cmet.2021.05.008","volume":"33","author":"FJ Naser","year":"2021","unstructured":"Naser FJ et al (2021) Isotope tracing in adult zebrafish reveals alanine cycling between melanoma and liver. Cell Metab 33:1493-1505.e5. https:\/\/doi.org\/10.1016\/j.cmet.2021.05.008","journal-title":"Cell Metab"},{"key":"1621_CR91","doi-asserted-by":"publisher","first-page":"e105862","DOI":"10.1371\/journal.pone.0105862","volume":"9","author":"LR Nery","year":"2014","unstructured":"Nery LR, Eltz NS, Hackman C, Fonseca R, Altenhofen S, Guerra HN et al (2014) Brain intraventricular injection of amyloid-\u03b2 in zebrafish embryo impairs cognition and increases tau phosphorylation, effects reversed by lithium. PLoS ONE 9:e105862. https:\/\/doi.org\/10.1371\/journal.pone.0105862","journal-title":"PLoS ONE"},{"key":"1621_CR92","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1038\/nature06195","volume":"449","author":"TR Northen","year":"2007","unstructured":"Northen TR, Yanes O, Northen MT, Marrinucci D, Uritboonthai W, Apon J, Golledge SL, Nordstr\u00f6m A, Siuzdak G (2007) Clathrate nanostructures for mass spectrometry. Nature 449:1033\u20131036. https:\/\/doi.org\/10.1038\/nature06195","journal-title":"Nature"},{"key":"1621_CR93","doi-asserted-by":"publisher","unstructured":"OECD (2013) Test No. 236: Fish Embryo Acute Toxicity (FET) Test. OECD Guidelines for the Testing of Chemicals, Section 2. OECD Publishing, Paris. https:\/\/doi.org\/10.1787\/9789264203709-en","DOI":"10.1787\/9789264203709-en"},{"key":"1621_CR94","first-page":"276","volume":"7","author":"L Patrick","year":"2002","unstructured":"Patrick L (2002) Nonalcoholic fatty liver disease: Relationship to insulin sensitivity and oxidative stress. Treatment approaches using vitamin E, magnesium, and betaine. Altern Med Rev 7:276\u2013291","journal-title":"Altern Med Rev"},{"key":"1621_CR95","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1021\/acs.analchem.7b04108","volume":"87","author":"MM P\u00e9rez-Alonso","year":"2018","unstructured":"P\u00e9rez-Alonso MM, Carrasco-Loba V, Pollmann S (2018) Advances in plant metabolomics. Anal Chem 87:557\u2013588. https:\/\/doi.org\/10.1021\/acs.analchem.7b04108","journal-title":"Anal Chem"},{"key":"1621_CR96","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-396508-1.00001-8","author":"P Poltronieri","year":"2013","unstructured":"Poltronieri P, Burbulis N, Fogher C (2013) From plant genomics to plant biotechnology. Elsevier. https:\/\/doi.org\/10.1016\/B978-0-12-396508-1.00001-8","journal-title":"Elsevier"},{"key":"1621_CR97","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41392-023-01344-3","volume":"8","author":"S Qiu","year":"2023","unstructured":"Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A (2023) Small molecule metabolites: Discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 8:132. https:\/\/doi.org\/10.1038\/s41392-023-01344-3","journal-title":"Signal Transduct Target Ther"},{"key":"1621_CR98","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1074\/mcp.M115.053405","volume":"15","author":"S Ren","year":"2016","unstructured":"Ren S, Shao Y, Zhao X, Hong CS, Wang F, Lu X, Li J, Ye G, Yan M, Zhuang Z, Xu C, Xu G, Sun Y (2016) Integration of metabolomics and transcriptomics reveals major metabolic pathways and potential biomarker involved in prostate cancer. Mol Cell Proteomics 15:154\u2013163. https:\/\/doi.org\/10.1074\/mcp.M115.053405","journal-title":"Mol Cell Proteomics"},{"key":"1621_CR99","doi-asserted-by":"publisher","first-page":"488","DOI":"10.3390\/metabo12060488","volume":"12","author":"EP Resurreccion","year":"2022","unstructured":"Resurreccion EP, Fong KW (2022) The integration of metabolomics with other omics: Insights into understanding prostate cancer. Metabolites 12:488. https:\/\/doi.org\/10.3390\/metabo12060488","journal-title":"Metabolites"},{"key":"1621_CR100","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1039\/C9MO00170J","volume":"16","author":"A Ribbenstedt","year":"2020","unstructured":"Ribbenstedt A, Posselt M, Brunius C, Benskin JP (2020) In-plate toxicometabolomics of single zebrafish embryos. Mol Omics 16:185\u2013194. https:\/\/doi.org\/10.1039\/C9MO00170J","journal-title":"Mol Omics"},{"key":"1621_CR101","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/S0006-8993(00)03174-7","volume":"889","author":"E Rink","year":"2001","unstructured":"Rink E, Wullimann MF (2001) The teleostean (zebrafish) dopaminergic system ascending to the subpallium (striatum) is located in the basal diencephalon (posterior tuberculum). Brain Res 889:316\u2013330. https:\/\/doi.org\/10.1016\/S0006-8993(00)03174-7","journal-title":"Brain Res"},{"key":"1621_CR102","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1016\/j.cell.2019.07.022","volume":"178","author":"FJ Roca","year":"2019","unstructured":"Roca FJ, Whitworth LJ, Redmond S, Jones AA, Ramakrishnan L (2019) TNF induces pathogenic programmed macrophage necrosis in tuberculosis through a mitochondrial-lysosomal-endoplasmic reticulum circuit. Cell 178:1344-1361.e11. https:\/\/doi.org\/10.1016\/j.cell.2019.07.022","journal-title":"Cell"},{"key":"1621_CR103","doi-asserted-by":"publisher","first-page":"1951","DOI":"10.1093\/ndt\/gfh322","volume":"19","author":"F Santangelo","year":"2004","unstructured":"Santangelo F, Witko-Sarsat V, Dr\u00fceke T, Descamps-Latscha B (2004) Restoring glutathione as a therapeutic strategy in chronic kidney disease. Nephrol Dial Transplant 19:1951\u20131955. https:\/\/doi.org\/10.1093\/ndt\/gfh322","journal-title":"Nephrol Dial Transplant"},{"key":"1621_CR104","doi-asserted-by":"publisher","first-page":"7489","DOI":"10.1038\/s41598-023-34405-6","volume":"13","author":"P Schippers","year":"2023","unstructured":"Schippers P, Rasheed S, Park YM, Risch T, Wagmann L, Hemmer S, Manier SK, M\u00fcller R, Herrmann J, Meyer MR (2023) Evaluation of extraction methods for untargeted metabolomic studies for future applications in zebrafish larvae infection models. Sci Rep 13:7489. https:\/\/doi.org\/10.1038\/s41598-023-34405-6","journal-title":"Sci Rep"},{"key":"1621_CR105","doi-asserted-by":"publisher","first-page":"2249","DOI":"10.1007\/s00018-015-1866-9","volume":"72","author":"A Schlegel","year":"2015","unstructured":"Schlegel A, Gut P (2015) Metabolic insights from zebrafish genetics, physiology, and chemical biology. Cell Mol Life Sci 72:2249\u20132260. https:\/\/doi.org\/10.1007\/s00018-015-1866-9","journal-title":"Cell Mol Life Sci"},{"key":"1621_CR106","doi-asserted-by":"publisher","first-page":"841278","DOI":"10.3389\/fphys.2022.8412783","volume":"13","author":"YL Schooneveldt","year":"2022","unstructured":"Schooneveldt YL, Paul S, Calkin AC, Meikle PJ (2022) Ether lipids in obesity: From cells to population studies. Front Physiol 13:841278. https:\/\/doi.org\/10.3389\/fphys.2022.8412783","journal-title":"Front Physiol"},{"key":"1621_CR107","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1016\/j.jhep.2005.09.028","volume":"44","author":"NJ Serkova","year":"2006","unstructured":"Serkova NJ, Jackman M, Brown JL, Liu T, Hirose R, Roberts JP et al (2006) Metabolic profiling of livers and blood from obese Zucker rats. J Hepatol 44:956\u2013962. https:\/\/doi.org\/10.1016\/j.jhep.2005.09.028","journal-title":"J Hepatol"},{"key":"1621_CR108","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1242\/dmm.011346","volume":"6","author":"A Seth","year":"2013","unstructured":"Seth A, Stemple DL, Barroso I (2013) The emerging use of zebrafish to model metabolic disease. Dis Model Mech 6:1080\u20131088. https:\/\/doi.org\/10.1242\/dmm.011346","journal-title":"Dis Model Mech"},{"key":"1621_CR109","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1002\/dev.21579","volume":"60","author":"S Shams","year":"2018","unstructured":"Shams S, Amlani S, Buske C, Chatterjee D, Gerlai R (2018) Developmental social isolation affects adult behavior, social interaction, and dopamine metabolite levels in zebrafish. Dev Psychobiol 60:43\u201356. https:\/\/doi.org\/10.1002\/dev.21579","journal-title":"Dev Psychobiol"},{"key":"1621_CR110","doi-asserted-by":"publisher","first-page":"9707292","DOI":"10.1155\/2016\/9707292","volume":"2016","author":"Y Shang","year":"2016","unstructured":"Shang Y, Siow YL, Isaak CK, Karmin O (2016) Downregulation of glutathione biosynthesis contributes to oxidative stress and liver dysfunction in acute kidney injury. Oxid Med Cell Longev 2016:9707292. https:\/\/doi.org\/10.1155\/2016\/9707292","journal-title":"Oxid Med Cell Longev"},{"key":"1621_CR111","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-981-15-2094-6_1","volume":"10","author":"C Sharanya","year":"2020","unstructured":"Sharanya C, Sabu A, Haridas M (2020) Plant metabolomics: Current status and prospects. Springer Link 10:1\u201322. https:\/\/doi.org\/10.1007\/978-981-15-2094-6_1","journal-title":"Springer Link"},{"key":"1621_CR112","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.77107","author":"K Sharma","year":"2018","unstructured":"Sharma K, Sarma S, Bohra A, Mitra A, Sharma NK, Kumar A (2018) Plant metabolomics: An emerging technology for crop improvement. IntechOpen. https:\/\/doi.org\/10.5772\/intechopen.77107","journal-title":"IntechOpen"},{"key":"1621_CR113","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/s10295-018-2004-x","volume":"45","author":"S Shi","year":"2018","unstructured":"Shi S, Ang EL, Zhao H (2018) In vivo biosensors: mechanisms, development, and applications. J Ind Microbiol Biotechnol 45:491\u2013516. https:\/\/doi.org\/10.1007\/s10295-018-2004-x","journal-title":"J Ind Microbiol Biotechnol"},{"key":"1621_CR114","doi-asserted-by":"publisher","first-page":"14","DOI":"10.5483\/bmbrep.2018.51.1.237","volume":"51","author":"TH Shin","year":"2018","unstructured":"Shin TH, Lee DY, Lee HS, Park HJ, Jin MS, Paik MJ, Manavalan B, Lee G (2018) Integration of metabolomics and transcriptomics in nanotoxicity studies. BMB Rep 51:14\u201320. https:\/\/doi.org\/10.5483\/bmbrep.2018.51.1.237","journal-title":"BMB Rep"},{"key":"1621_CR115","doi-asserted-by":"publisher","first-page":"98","DOI":"10.3390\/metabo14020098","volume":"14","author":"F Sill\u00e9","year":"2024","unstructured":"Sill\u00e9 F, Hartung T (2024) Metabolomics in preclinical drug safety assessment: Current status and future trends. Metabolites 14:98. https:\/\/doi.org\/10.3390\/metabo14020098","journal-title":"Metabolites"},{"key":"1621_CR116","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1523\/JNEUROSCI.1802-12.2013","volume":"33","author":"M Sundvik","year":"2013","unstructured":"Sundvik M, Chen YC, Panula P (2013) Presenilin1 regulates histamine neuron development and behavior in zebrafish, Danio rerio. J Neurosci 33:1589\u20131597. https:\/\/doi.org\/10.1523\/JNEUROSCI.1802-12.2013","journal-title":"J Neurosci"},{"key":"1621_CR117","doi-asserted-by":"publisher","first-page":"e0194982","DOI":"10.1371\/journal.pone.0194982","volume":"13","author":"K Takaki","year":"2018","unstructured":"Takaki K, Ramakrishnan L, Basu S (2018) A zebrafish model for ocular tuberculosis. PLoS ONE 13:e0194982. https:\/\/doi.org\/10.1371\/journal.pone.0194982","journal-title":"PLoS ONE"},{"key":"1621_CR118","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1093\/af\/vfz013","volume":"9","author":"T Teame","year":"2019","unstructured":"Teame T, Zhang Z, Ran C, Zhang H, Yang Y, Ding Q et al (2019) The use of zebrafish (Danio rerio) as biomedical models. Anim Front 9:68\u201377. https:\/\/doi.org\/10.1093\/af\/vfz013","journal-title":"Anim Front"},{"key":"1621_CR119","doi-asserted-by":"publisher","first-page":"1027","DOI":"10.1111\/j.1462-5822.2008.01133.x","volume":"10","author":"DM Tobin","year":"2008","unstructured":"Tobin DM, Ramakrishnan L (2008) Comparative pathogenesis of Mycobacterium marinum and Mycobacterium tuberculosis. Cell Microbiol 10:1027\u20131039. https:\/\/doi.org\/10.1111\/j.1462-5822.2008.01133.x","journal-title":"Cell Microbiol"},{"key":"1621_CR120","doi-asserted-by":"publisher","first-page":"e1002349","DOI":"10.1371\/journal.ppat.1002349","volume":"8","author":"DM Tobin","year":"2012","unstructured":"Tobin DM, May RC, Wheeler RT (2012) Zebrafish: a see-through host and a fluorescent toolbox to probe host-pathogen interaction. PLoS Pathog 8:e1002349. https:\/\/doi.org\/10.1371\/journal.ppat.1002349","journal-title":"PLoS Pathog"},{"key":"1621_CR121","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1002\/jnr.10451","volume":"70","author":"HG Tomasiewicz","year":"2002","unstructured":"Tomasiewicz HG, Flaherty DB, Soria JP, Wood JG (2002) Transgenic zebrafish model of neurodegeneration. J Neurosci Res 70:734\u2013745. https:\/\/doi.org\/10.1002\/jnr.10451","journal-title":"J Neurosci Res"},{"key":"1621_CR122","doi-asserted-by":"publisher","first-page":"19","DOI":"10.3389\/fncel.2020.00019","volume":"14","author":"D Toral-Rios","year":"2020","unstructured":"Toral-Rios D, Pichardo-Rojas PS, Alonso-Vanegas M, Campos-Pe\u00f1a V (2020) GSK3\u03b2 and Tau protein in Alzheimer\u2019s disease and epilepsy. Front Cell Neurosci 14:19. https:\/\/doi.org\/10.3389\/fncel.2020.00019","journal-title":"Front Cell Neurosci"},{"key":"1621_CR123","doi-asserted-by":"publisher","first-page":"a018580","DOI":"10.1101\/cshperspect.a018580","volume":"5","author":"LM van Leeuwen","year":"2014","unstructured":"van Leeuwen LM, van der Sar AM, Bitter W (2014) Animal models of tuberculosis: zebrafish. Cold Spring Harb Perspect Med 5:a018580. https:\/\/doi.org\/10.1101\/cshperspect.a018580","journal-title":"Cold Spring Harb Perspect Med"},{"key":"1621_CR124","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.neuron.2016.03.010","volume":"90","author":"S Veugelen","year":"2016","unstructured":"Veugelen S, Saito T, Saido TC, Ch\u00e1vez-Guti\u00e9rrez L, De Strooper B (2016) Familial Alzheimer\u2019s disease mutations in presenilin generate amyloidogenic A\u03b2 peptide seeds. Neuron 90:410\u2013416. https:\/\/doi.org\/10.1016\/j.neuron.2016.03.010","journal-title":"Neuron"},{"key":"1621_CR125","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.cbpc.2019.05.005","volume":"223","author":"S Wang","year":"2019","unstructured":"Wang S, Duan M, Guan K, Zhou X, Zheng M, Shi X et al (2019) Developmental neurotoxicity of reserpine exposure in zebrafish larvae (Danio rerio). Comp Biochem Physiol C Toxicol Pharmacol 223:115\u2013123. https:\/\/doi.org\/10.1016\/j.cbpc.2019.05.005","journal-title":"Comp Biochem Physiol C Toxicol Pharmacol"},{"key":"1621_CR126","doi-asserted-by":"publisher","first-page":"447","DOI":"10.3390\/metabo10110447","volume":"10","author":"Y Wang","year":"2020","unstructured":"Wang Y, Wondisford FE, Song C, Zhang T, Su X (2020) Metabolic flux analysis-linking isotope labeling and metabolic fluxes. Metabolites 10:447. https:\/\/doi.org\/10.3390\/metabo10110447","journal-title":"Metabolites"},{"key":"1621_CR127","doi-asserted-by":"publisher","first-page":"1037","DOI":"10.1038\/s41589-021-00865-8","volume":"17","author":"JK Weng","year":"2021","unstructured":"Weng JK, Lynch JH, Matos JO, Dudareva N (2021) Adaptive mechanisms of plant specialized metabolism connecting chemistry to function. Nat Chem Biol 17:1037\u20131045. https:\/\/doi.org\/10.1038\/s41589-021-00865-8","journal-title":"Nat Chem Biol"},{"key":"1621_CR128","doi-asserted-by":"publisher","first-page":"D521","DOI":"10.1093\/nar\/gkl923","volume":"35","author":"DS Wishart","year":"2007","unstructured":"Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N et al (2007) HMDB: The Human Metabolome Database. Nucleic Acids Res 35:D521\u2013D526. https:\/\/doi.org\/10.1093\/nar\/gkl923","journal-title":"Nucleic Acids Res"},{"key":"1621_CR129","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1152\/physrev.2000.80.3.1107","volume":"80","author":"M Wyss","year":"2000","unstructured":"Wyss M, Kaddurah-Daouk R (2000) Creatine and creatinine metabolism. Physiol Rev 80:1107\u20131213. https:\/\/doi.org\/10.1152\/physrev.2000.80.3.1107","journal-title":"Physiol Rev"},{"key":"1621_CR130","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1007\/s11910-011-0182-2","volume":"11","author":"Y Xi","year":"2011","unstructured":"Xi Y, Noble S, Ekker M (2011) Modeling neurodegeneration in zebrafish. Curr Neurol Neurosci Rep 11:274\u2013282. https:\/\/doi.org\/10.1007\/s11910-011-0182-2","journal-title":"Curr Neurol Neurosci Rep"},{"key":"1621_CR131","doi-asserted-by":"publisher","first-page":"1397508","DOI":"10.1155\/2023\/1397508","volume":"2023","author":"L Xi","year":"2023","unstructured":"Xi L, Lu Q, Liu Y, Gong Y, Liu H, Jin J, Zhang Z, Yang Y, Zhu X, Han D, Xie S (2023) Study on carbohydrate metabolism in adult zebrafish (Danio rerio). Aquac Nutr 2023:1397508. https:\/\/doi.org\/10.1155\/2023\/1397508","journal-title":"Aquac Nutr"},{"key":"1621_CR132","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1016\/j.trecan.2020.02.007","volume":"6","author":"J Xiao","year":"2020","unstructured":"Xiao J, Glasgow E, Agarwal S (2020) Zebrafish xenografts for drug discovery and personalized medicine. Trends Cancer 6:569\u2013579. https:\/\/doi.org\/10.1016\/j.trecan.2020.02.007","journal-title":"Trends Cancer"},{"key":"1621_CR133","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/978-1-0716-0195-2_14","volume":"2096","author":"W Xiong","year":"2020","unstructured":"Xiong W, Jiang H, Maness P (2020) Dynamic flux analysis: an experimental approach of fluxomics. Methods Mol Biol 2096:179\u2013196. https:\/\/doi.org\/10.1007\/978-1-0716-0195-2_14","journal-title":"Methods Mol Biol"},{"key":"1621_CR134","doi-asserted-by":"publisher","first-page":"1","DOI":"10.6564\/JKMRS.2013.17.1.001","volume":"17","author":"D Yoon","year":"2013","unstructured":"Yoon D, Lee M, Siwon K, Kim K (2013) Applications of NMR spectroscopy based metabolomics: a review. J Korean Magn Reson Soc 17:1\u201310","journal-title":"J Korean Magn Reson Soc"},{"key":"1621_CR135","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1089\/zeb.2020.1976","volume":"18","author":"F Zakaria","year":"2021","unstructured":"Zakaria F, Akhtar MT, Wan Ibrahim WN, Abu Bakar N, Muhamad A, Shohaimi S et al (2021) Perturbations in amino acid metabolism in reserpine-treated zebrafish brain detected by 1H nuclear magnetic resonance-based metabolomics. Zebrafish 18:42\u201354. https:\/\/doi.org\/10.1089\/zeb.2020.1976","journal-title":"Zebrafish"},{"key":"1621_CR136","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.1002\/hep.21903","volume":"46","author":"S Zakhari","year":"2007","unstructured":"Zakhari S, Li TK (2007) Determinants of alcohol use and abuse: Impact of quantity and frequency patterns on liver disease. Hepatology 46:2032\u20132039. https:\/\/doi.org\/10.1002\/hep.21903","journal-title":"Hepatology"},{"key":"1621_CR137","doi-asserted-by":"publisher","first-page":"12187","DOI":"10.1021\/acs.jafc.1c03651","volume":"69","author":"M Zhang","year":"2021","unstructured":"Zhang M, Song G, Wang S, Ge L, Liu F, Zhang M et al (2021) Characterization of metabolites in a zebrafish model of Alzheimer\u2019s disease supplemented with mussel-derived plasmalogens by ultraperformance liquid chromatography Q-Exactive Orbitrap mass spectrometry-based unbiased metabolomics. J Agric Food Chem 69:12187\u201312196. https:\/\/doi.org\/10.1021\/acs.jafc.1c03651","journal-title":"J Agric Food Chem"},{"key":"1621_CR138","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1016\/j.cmet.2015.04.009","volume":"21","author":"Y Zhao","year":"2015","unstructured":"Zhao Y, Hu Q, Cheng F, Su N, Wang A, Zou Y, Hu H, Chen X, Zhou HM, Huang X, Yang K, Zhu Q, Wang X, Yi J, Zhu L, Qian X, Chen L, Tang Y, Loscalzo J, Yang Y (2015) SoNar, a highly responsive NAD+\/NADH sensor, allows high-throughput metabolic screening of anti-tumor agents. Cell Metab 21:777\u2013789. https:\/\/doi.org\/10.1016\/j.cmet.2015.04.009","journal-title":"Cell Metab"},{"key":"1621_CR139","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1039\/c1mb05350g","volume":"8","author":"B Zhou","year":"2012","unstructured":"Zhou B, Xiao JF, Tuli L, Ressom HW (2012) LC-MS-based metabolomics. Mol Biosyst 8:470\u2013481. https:\/\/doi.org\/10.1039\/c1mb05350g","journal-title":"Mol Biosyst"},{"key":"1621_CR140","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.neuropharm.2015.05.007","volume":"106","author":"A Zlomuzica","year":"2016","unstructured":"Zlomuzica A, Dere D, Binder S, Silva MAS, Huston JP, Dere E (2016) Neuronal histamine and cognitive symptoms in Alzheimer\u2019s disease. Neuropharmacology 106:135\u2013145. https:\/\/doi.org\/10.1016\/j.neuropharm.2015.05.007","journal-title":"Neuropharmacology"}],"container-title":["Functional & Integrative Genomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10142-025-01621-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10142-025-01621-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10142-025-01621-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T08:09:31Z","timestamp":1769155771000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10142-025-01621-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,28]]},"references-count":139,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["1621"],"URL":"https:\/\/doi.org\/10.1007\/s10142-025-01621-1","relation":{},"ISSN":["1438-793X","1438-7948"],"issn-type":[{"value":"1438-793X","type":"print"},{"value":"1438-7948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,28]]},"assertion":[{"value":"28 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 May 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"110"}}