{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T23:13:39Z","timestamp":1788909219217,"version":"build-2803163510"},"reference-count":86,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82472057, 81971597"],"award-info":[{"award-number":["82472057, 81971597"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Projects in Guangzhou"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"DOI":"10.1038\/s41398-024-03207-0","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T14:46:09Z","timestamp":1734533169000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Disruption of the gut microbiota-inflammation-brain axis in unmedicated bipolar disorder II depression"],"prefix":"10.1038","volume":"14","author":[{"given":"Zixuan","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanmao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuming","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shilin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6418-1985","authenticated-orcid":false,"given":"Hengwen","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanbin","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6524-8777","authenticated-orcid":false,"given":"Zhinan","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0388-4177","authenticated-orcid":false,"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,18]]},"reference":[{"key":"3207_CR1","doi-asserted-by":"publisher","first-page":"e8508","DOI":"10.1136\/bmj.e8508","volume":"345","author":"IM Anderson","year":"2012","unstructured":"Anderson IM, Haddad PM, Scott J. Bipolar disorder. BMJ. 2012;345:e8508 https:\/\/doi.org\/10.1136\/bmj.e8508","journal-title":"BMJ"},{"key":"3207_CR2","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1001\/jama.2023.18588","volume":"330","author":"AA Nierenberg","year":"2023","unstructured":"Nierenberg AA, Agustini B, Kohler-Forsberg O, Cusin C, Katz D, Sylvia LG, et al. Diagnosis and Treatment of Bipolar Disorder: A Review. JAMA. 2023;330:1370\u201380. https:\/\/doi.org\/10.1001\/jama.2023.18588","journal-title":"JAMA"},{"key":"3207_CR3","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/j.jad.2011.03.009","volume":"132","author":"D Sasayama","year":"2011","unstructured":"Sasayama D, Hori H, Teraishi T, Hattori K, Ota M, Matsuo J, et al. Difference in Temperament and Character Inventory scores between depressed patients with bipolar II and unipolar major depressive disorders. J Affect Disord. 2011;132:319\u201324. https:\/\/doi.org\/10.1016\/j.jad.2011.03.009","journal-title":"J Affect Disord"},{"key":"3207_CR4","doi-asserted-by":"publisher","first-page":"1614","DOI":"10.1007\/s11682-022-00636-7","volume":"16","author":"J Gong","year":"2022","unstructured":"Gong J, Chen G, Chen F, Zhong S, Chen P, Zhong H, et al. Association between resting-state functional connectivity of amygdala subregions and peripheral pro-inflammation cytokines levels in bipolar disorder. Brain imaging Behav. 2022;16:1614\u201326. https:\/\/doi.org\/10.1007\/s11682-022-00636-7","journal-title":"Brain imaging Behav"},{"key":"3207_CR5","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1017\/S0033291722002392","volume":"52","author":"G Chen","year":"2022","unstructured":"Chen G, Wang J, Gong J, Qi Z, Fu S, Tang G, et al. Functional and structural brain differences in bipolar disorder: a multimodal meta-analysis of neuroimaging studies. Psychol Med. 2022;52:2861\u201373. https:\/\/doi.org\/10.1017\/S0033291722002392","journal-title":"Psychol Med"},{"key":"3207_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1399-5618.2011.00893.x","volume":"13","author":"CH Chen","year":"2011","unstructured":"Chen CH, Suckling J, Lennox BR, Ooi C, Bullmore ET. A quantitative meta-analysis of fMRI studies in bipolar disorder. Bipolar Disord. 2011;13:1\u201315. https:\/\/doi.org\/10.1111\/j.1399-5618.2011.00893.x","journal-title":"Bipolar Disord"},{"key":"3207_CR7","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1016\/j.neuroimage.2009.09.037","volume":"49","author":"XN Zuo","year":"2010","unstructured":"Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF, et al. The oscillating brain: complex and reliable. NeuroImage. 2010;49:1432\u201345. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.09.037","journal-title":"NeuroImage"},{"key":"3207_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2024.102240","volume":"95","author":"X Tang","year":"2024","unstructured":"Tang X, Guo Z, Chen G, Sun S, Xiao S, Chen P, et al. A Multimodal Meta-Analytical Evidence of Functional and Structural Brain Abnormalities Across Alzheimer\u2019s Disease Spectrum. Ageing Res Rev. 2024;95:102240. https:\/\/doi.org\/10.1016\/j.arr.2024.102240","journal-title":"Ageing Res Rev"},{"key":"3207_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118466","volume":"242","author":"J Zhang","year":"2021","unstructured":"Zhang J, Kucyi A, Raya J, Nielsen AN, Nomi JS, Damoiseaux JS, et al. What have we really learned from functional connectivity in clinical populations? NeuroImage. 2021;242:118466. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118466","journal-title":"NeuroImage"},{"key":"3207_CR10","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1148\/radiol.2016151641","volume":"280","author":"Y Wang","year":"2016","unstructured":"Wang Y, Zhong S, Jia Y, Sun Y, Wang B, Liu T, et al. Disrupted Resting-State Functional Connectivity in Nonmedicated Bipolar Disorder. Radiology. 2016;280:529\u201336. https:\/\/doi.org\/10.1148\/radiol.2016151641","journal-title":"Radiology"},{"key":"3207_CR11","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.jad.2018.09.076","volume":"243","author":"G Chen","year":"2019","unstructured":"Chen G, Zhao L, Jia Y, Zhong S, Chen F, Luo X, et al. Abnormal cerebellum-DMN regions connectivity in unmedicated bipolar II disorder. J Affect Disord. 2019;243:441\u20137. https:\/\/doi.org\/10.1016\/j.jad.2018.09.076","journal-title":"J Affect Disord"},{"key":"3207_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neubiorev.2019.06.008","volume":"103","author":"M Lupo","year":"2019","unstructured":"Lupo M, Siciliano L, Leggio M. From cerebellar alterations to mood disorders: A systematic review. Neurosci Biobehav Rev. 2019;103:21\u201328. https:\/\/doi.org\/10.1016\/j.neubiorev.2019.06.008","journal-title":"Neurosci Biobehav Rev"},{"key":"3207_CR13","doi-asserted-by":"publisher","DOI":"10.1017\/S2045796020000803","volume":"29","author":"N Zovetti","year":"2020","unstructured":"Zovetti N, Rossetti MG, Perlini C, Maggioni E, Bontempi P, Bellani M, et al. Default mode network activity in bipolar disorder. Epidemiol Psychiatr Sci. 2020;29:e166. https:\/\/doi.org\/10.1017\/S2045796020000803","journal-title":"Epidemiol Psychiatr Sci"},{"key":"3207_CR14","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1186\/s13195-022-01066-9","volume":"14","author":"Q Wang","year":"2022","unstructured":"Wang Q, Chen B, Zhong X, Hou L, Zhang M, Yang M, et al. Static and dynamic functional connectivity variability of the anterior-posterior hippocampus with subjective cognitive decline. Alzheimer\u2019s Res Ther. 2022;14:122. https:\/\/doi.org\/10.1186\/s13195-022-01066-9","journal-title":"Alzheimer\u2019s Res Ther"},{"key":"3207_CR15","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1002\/hbm.24591","volume":"40","author":"Z Fu","year":"2019","unstructured":"Fu Z, Caprihan A, Chen J, Du Y, Adair JC, Sui J, et al. Altered static and dynamic functional network connectivity in Alzheimer\u2019s disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities. Hum Brain Mapp. 2019;40:3203\u201321. https:\/\/doi.org\/10.1002\/hbm.24591","journal-title":"Hum Brain Mapp"},{"key":"3207_CR16","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.jad.2019.04.103","volume":"253","author":"J Wang","year":"2019","unstructured":"Wang J, Wang Y, Huang H, Jia Y, Zheng S, Zhong S, et al. Abnormal intrinsic brain functional network dynamics in unmedicated depressed bipolar II disorder. J Affect Disord. 2019;253:402\u20139. https:\/\/doi.org\/10.1016\/j.jad.2019.04.103","journal-title":"J Affect Disord"},{"key":"3207_CR17","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.jad.2020.11.012","volume":"280","author":"Z Luo","year":"2021","unstructured":"Luo Z, Chen G, Jia Y, Zhong S, Gong J, Chen F, et al. Shared and specific dynamics of brain segregation and integration in bipolar disorder and major depressive disorder: A resting-state functional magnetic resonance imaging study. J Affect Disord. 2021;280:279\u201386. https:\/\/doi.org\/10.1016\/j.jad.2020.11.012","journal-title":"J Affect Disord"},{"key":"3207_CR18","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1017\/S003329171900028X","volume":"50","author":"J Wang","year":"2020","unstructured":"Wang J, Wang Y, Huang H, Jia Y, Zheng S, Zhong S, et al. Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model. Psychol. Med. 2020;50:465\u201374. https:\/\/doi.org\/10.1017\/S003329171900028X","journal-title":"Psychol. Med"},{"key":"3207_CR19","doi-asserted-by":"publisher","unstructured":"Lucidi L, Pettorruso M, Vellante F, Di Carlo F, Ceci F, Santovito MC, et al. Gut Microbiota and Bipolar Disorder: An Overview on a Novel Biomarker for Diagnosis and Treatment. Int J Mol Sci. 2021;22. https:\/\/doi.org\/10.3390\/ijms22073723.","DOI":"10.3390\/ijms22073723"},{"key":"3207_CR20","doi-asserted-by":"publisher","DOI":"10.1002\/advs.201900752","volume":"6","author":"S Hu","year":"2019","unstructured":"Hu S, Li A, Huang T, Lai J, Li J, Sublette ME, et al. Gut Microbiota Changes in Patients with Bipolar Depression. Adv Sci (Weinh). 2019;6:1900752. https:\/\/doi.org\/10.1002\/advs.201900752","journal-title":"Adv Sci (Weinh)"},{"key":"3207_CR21","doi-asserted-by":"publisher","unstructured":"Knuesel T, Mohajeri MH. The Role of the Gut Microbiota in the Development and Progression of Major Depressive and Bipolar Disorder. Nutrients. 2021;14. https:\/\/doi.org\/10.3390\/nu14010037.","DOI":"10.3390\/nu14010037"},{"key":"3207_CR22","doi-asserted-by":"publisher","first-page":"4123","DOI":"10.1038\/s41380-022-01569-9","volume":"27","author":"Z Li","year":"2022","unstructured":"Li Z, Lai J, Zhang P, Ding J, Jiang J, Liu C, et al. Multi-omics analyses of serum metabolome, gut microbiome and brain function reveal dysregulated microbiota-gut-brain axis in bipolar depression. Mol Psychiatry. 2022;27:4123\u201335. https:\/\/doi.org\/10.1038\/s41380-022-01569-9","journal-title":"Mol Psychiatry"},{"key":"3207_CR23","doi-asserted-by":"publisher","first-page":"2645","DOI":"10.1038\/s41380-023-01964-w","volume":"28","author":"MA Ortega","year":"2023","unstructured":"Ortega MA, Alvarez-Mon MA, Garcia-Montero C, Fraile-Martinez O, Monserrat J, Martinez-Rozas L, et al. Microbiota-gut-brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities. Mol Psychiatry. 2023;28:2645\u201373. https:\/\/doi.org\/10.1038\/s41380-023-01964-w","journal-title":"Mol Psychiatry"},{"key":"3207_CR24","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1038\/nrmicro2876","volume":"10","author":"SM Collins","year":"2012","unstructured":"Collins SM, Surette M, Bercik P. The interplay between the intestinal microbiota and the brain. Nat Rev Microbiol. 2012;10:735\u201342. https:\/\/doi.org\/10.1038\/nrmicro2876","journal-title":"Nat Rev Microbiol"},{"key":"3207_CR25","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1038\/nrmicro.2017.9","volume":"15","author":"S Starling","year":"2017","unstructured":"Starling S. Bacterial Pathogenesis: Microbial manipulation of the gut-brain axis. Nat Rev Microbiol. 2017;15:131. https:\/\/doi.org\/10.1038\/nrmicro.2017.9","journal-title":"Nat Rev Microbiol"},{"key":"3207_CR26","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1038\/nrn3346","volume":"13","author":"JF Cryan","year":"2012","unstructured":"Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci. 2012;13:701\u201312. https:\/\/doi.org\/10.1038\/nrn3346","journal-title":"Nat Rev Neurosci"},{"key":"3207_CR27","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1038\/s41579-020-00460-0","volume":"19","author":"LH Morais","year":"2021","unstructured":"Morais LH, Schreiber HLT, Mazmanian SK. The gut microbiota-brain axis in behaviour and brain disorders. Nat Rev Microbiol. 2021;19:241\u201355. https:\/\/doi.org\/10.1038\/s41579-020-00460-0","journal-title":"Nat Rev Microbiol"},{"key":"3207_CR28","doi-asserted-by":"publisher","first-page":"3047","DOI":"10.1073\/pnas.1010529108","volume":"108","author":"R Diaz Heijtz","year":"2011","unstructured":"Diaz Heijtz R, Wang S, Anuar F, Qian Y, Bjorkholm B, Samuelsson A, et al. Normal gut microbiota modulates brain development and behavior. Proc Natl Acad Sci USA. 2011;108:3047\u201352. https:\/\/doi.org\/10.1073\/pnas.1010529108","journal-title":"Proc Natl Acad Sci USA"},{"key":"3207_CR29","doi-asserted-by":"publisher","first-page":"114326","DOI":"10.1016\/j.psychres.2021.114326","volume":"307","author":"J Lai","year":"2022","unstructured":"Lai J, Li A, Jiang J, Yuan X, Zhang P, Xi C, et al. Metagenomic analysis reveals gut bacterial signatures for diagnosis and treatment outcome prediction in bipolar depression. Psychiatry Res. 2022;307:114326. https:\/\/doi.org\/10.1016\/j.psychres.2021.114326","journal-title":"Psychiatry Res"},{"key":"3207_CR30","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.jad.2022.11.026","volume":"323","author":"C Xi","year":"2023","unstructured":"Xi C, Li A, Lai J, Huang X, Zhang P, Yan S, et al. Brain-gut microbiota multimodal predictive model in patients with bipolar depression. J Affect Disord. 2023;323:140\u201352. https:\/\/doi.org\/10.1016\/j.jad.2022.11.026","journal-title":"J Affect Disord"},{"key":"3207_CR31","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.schres.2019.08.026","volume":"234","author":"TT Nguyen","year":"2021","unstructured":"Nguyen TT, Hathaway H, Kosciolek T, Knight R, Jeste DV. Gut microbiome in serious mental illnesses: A systematic review and critical evaluation. Schizophr Res. 2021;234:24\u201340. https:\/\/doi.org\/10.1016\/j.schres.2019.08.026","journal-title":"Schizophr Res"},{"key":"3207_CR32","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1038\/s41380-022-01456-3","volume":"27","author":"AJ McGuinness","year":"2022","unstructured":"McGuinness AJ, Davis JA, Dawson SL, Loughman A, Collier F, O\u2019Hely M, et al. A systematic review of gut microbiota composition in observational studies of major depressive disorder, bipolar disorder and schizophrenia. Mol Psychiatry. 2022;27:1920\u201335. https:\/\/doi.org\/10.1038\/s41380-022-01456-3","journal-title":"Mol Psychiatry"},{"key":"3207_CR33","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1001\/jamapsychiatry.2021.2573","volume":"78","author":"VL Nikolova","year":"2021","unstructured":"Nikolova VL, Smith MRB, Hall LJ, Cleare AJ, Stone JM, Young AH. Perturbations in Gut Microbiota Composition in Psychiatric Disorders: A Review and Meta-analysis. JAMA psychiatry. 2021;78:1343\u201354. https:\/\/doi.org\/10.1001\/jamapsychiatry.2021.2573","journal-title":"JAMA psychiatry"},{"key":"3207_CR34","doi-asserted-by":"publisher","first-page":"5127157","DOI":"10.1155\/2023\/5127157","volume":"2023","author":"Y Zang","year":"2023","unstructured":"Zang Y, Lai X, Li C, Ding D, Wang Y, Zhu Y. The Role of Gut Microbiota in Various Neurological and Psychiatric Disorders-An Evidence Mapping Based on Quantified Evidence. Mediators Inflamm. 2023;2023:5127157. https:\/\/doi.org\/10.1155\/2023\/5127157","journal-title":"Mediators Inflamm"},{"key":"3207_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.phrs.2020.104856","volume":"157","author":"A Pascale","year":"2020","unstructured":"Pascale A, Marchesi N, Govoni S, Barbieri A. Targeting the microbiota in pharmacology of psychiatric disorders. Pharm Res. 2020;157:104856. https:\/\/doi.org\/10.1016\/j.phrs.2020.104856","journal-title":"Pharm Res"},{"key":"3207_CR36","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1007\/s13238-018-0547-2","volume":"9","author":"M Doestzada","year":"2018","unstructured":"Doestzada M, Vila AV, Zhernakova A, Koonen DPY, Weersma RK, Touw DJ, et al. Pharmacomicrobiomics: a novel route towards personalized medicine? Protein Cell. 2018;9:432\u201345. https:\/\/doi.org\/10.1007\/s13238-018-0547-2","journal-title":"Protein Cell"},{"key":"3207_CR37","doi-asserted-by":"publisher","unstructured":"Sakrajda K, Szczepankiewicz A. Inflammation-Related Changes in Mood Disorders and the Immunomodulatory Role of Lithium. Int J Mol Sci. 2021;22. https:\/\/doi.org\/10.3390\/ijms22041532.","DOI":"10.3390\/ijms22041532"},{"key":"3207_CR38","doi-asserted-by":"publisher","first-page":"1696","DOI":"10.1038\/mp.2016.3","volume":"21","author":"DR Goldsmith","year":"2016","unstructured":"Goldsmith DR, Rapaport MH, Miller BJ. A meta-analysis of blood cytokine network alterations in psychiatric patients: comparisons between schizophrenia, bipolar disorder and depression. Mol Psychiatry. 2016;21:1696\u2013709. https:\/\/doi.org\/10.1038\/mp.2016.3","journal-title":"Mol Psychiatry"},{"key":"3207_CR39","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1016\/j.biopsych.2008.11.029","volume":"65","author":"AH Miller","year":"2009","unstructured":"Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65:732\u201341. https:\/\/doi.org\/10.1016\/j.biopsych.2008.11.029","journal-title":"Biol Psychiatry"},{"key":"3207_CR40","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1038\/nri.2015.5","volume":"16","author":"AH Miller","year":"2016","unstructured":"Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. 2016;16:22\u201334. https:\/\/doi.org\/10.1038\/nri.2015.5","journal-title":"Nat Rev Immunol"},{"key":"3207_CR41","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.bbi.2021.07.014","volume":"97","author":"M Solmi","year":"2021","unstructured":"Solmi M, Suresh Sharma M, Osimo EF, Fornaro M, Bortolato B, Croatto G, et al. Peripheral levels of C-reactive protein, tumor necrosis factor-alpha, interleukin-6, and interleukin-1beta across the mood spectrum in bipolar disorder: A meta-analysis of mean differences and variability. Brain, Behav, Immun. 2021;97:193\u2013203. https:\/\/doi.org\/10.1016\/j.bbi.2021.07.014","journal-title":"Brain, Behav, Immun"},{"key":"3207_CR42","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.biopsych.2013.01.007","volume":"74","author":"A Modabbernia","year":"2013","unstructured":"Modabbernia A, Taslimi S, Brietzke E, Ashrafi M. Cytokine alterations in bipolar disorder: a meta-analysis of 30 studies. Biol Psychiatry. 2013;74:15\u201325. https:\/\/doi.org\/10.1016\/j.biopsych.2013.01.007","journal-title":"Biol Psychiatry"},{"key":"3207_CR43","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1192\/bjp.2018.144","volume":"213","author":"T Rowland","year":"2018","unstructured":"Rowland T, Perry BI, Upthegrove R, Barnes N, Chatterjee J, Gallacher D, et al. Neurotrophins, cytokines, oxidative stress mediators and mood state in bipolar disorder: systematic review and meta-analyses. Br J psychiatry: J Ment Sci. 2018;213:514\u201325. https:\/\/doi.org\/10.1192\/bjp.2018.144","journal-title":"Br J psychiatry: J Ment Sci"},{"key":"3207_CR44","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1111\/acps.13508","volume":"147","author":"MH Huang","year":"2023","unstructured":"Huang MH, Chan YE, Chen MH, Hsu JW, Huang KL, Li CT, et al. A longitudinal study of the association between pro-inflammatory cytokines and mood symptoms in bipolar disorder. Acta Psychiatr Scand. 2023;147:81\u201391. https:\/\/doi.org\/10.1111\/acps.13508","journal-title":"Acta Psychiatr Scand"},{"key":"3207_CR45","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1016\/j.bbi.2020.07.004","volume":"89","author":"P Chen","year":"2020","unstructured":"Chen P, Chen F, Chen G, Zhong S, Gong J, Zhong H, et al. Inflammation is associated with decreased functional connectivity of insula in unmedicated bipolar disorder. Brain, Behav, Immun. 2020;89:615\u201322. https:\/\/doi.org\/10.1016\/j.bbi.2020.07.004","journal-title":"Brain, Behav, Immun"},{"key":"3207_CR46","doi-asserted-by":"publisher","first-page":"8171","DOI":"10.7150\/thno.35387","volume":"9","author":"YF Wang","year":"2019","unstructured":"Wang YF, Zheng LJ, Liu Y, Ye YB, Luo S, Lu GM, et al. The gut microbiota-inflammation-brain axis in end-stage renal disease: perspectives from default mode network. Theranostics. 2019;9:8171\u201381. https:\/\/doi.org\/10.7150\/thno.35387","journal-title":"Theranostics"},{"key":"3207_CR47","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/s0165-0327(02)00324-5","volume":"73","author":"LL Judd","year":"2003","unstructured":"Judd LL, Akiskal HS, Schettler PJ, Coryell W, Maser J, Rice JA, et al. The comparative clinical phenotype and long term longitudinal episode course of bipolar I and II: a clinical spectrum or distinct disorders? J Affect Disord. 2003;73:19\u201332. https:\/\/doi.org\/10.1016\/s0165-0327(02)00324-5","journal-title":"J Affect Disord"},{"key":"3207_CR48","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.jad.2010.11.020","volume":"131","author":"JH Baek","year":"2011","unstructured":"Baek JH, Park DY, Choi J, Kim JS, Choi JS, Ha K, et al. Differences between bipolar I and bipolar II disorders in clinical features, comorbidity, and family history. J Affect Disord. 2011;131:59\u201367. https:\/\/doi.org\/10.1016\/j.jad.2010.11.020","journal-title":"J Affect Disord"},{"key":"3207_CR49","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1001\/jamapsychiatry.2019.4079","volume":"77","author":"KJS Lewis","year":"2020","unstructured":"Lewis KJS, Richards A, Karlsson R, Leonenko G, Jones SE, Jones HJ, et al. Comparison of Genetic Liability for Sleep Traits Among Individuals With Bipolar Disorder I or II and Control Participants. JAMA psychiatry. 2020;77:303\u201310. https:\/\/doi.org\/10.1001\/jamapsychiatry.2019.4079","journal-title":"JAMA psychiatry"},{"key":"3207_CR50","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","volume":"14","author":"CG Yan","year":"2016","unstructured":"Yan CG, Wang XD, Zuo XN, Zang YF. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics. 2016;14:339\u201351. https:\/\/doi.org\/10.1007\/s12021-016-9299-4","journal-title":"Neuroinformatics"},{"key":"3207_CR51","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.braindev.2006.07.002","volume":"29","author":"YF Zang","year":"2007","unstructured":"Zang YF, He Y, Zhu CZ, Cao QJ, Sui MQ, Liang M, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev. 2007;29:83\u201391. https:\/\/doi.org\/10.1016\/j.braindev.2006.07.002","journal-title":"Brain Dev"},{"key":"3207_CR52","doi-asserted-by":"publisher","DOI":"10.1186\/2049-2618-2-6","volume":"2","author":"DW Fadrosh","year":"2014","unstructured":"Fadrosh DW, Ma B, Gajer P, Sengamalay N, Ott S, Brotman RM, et al. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform. Microbiome. 2014;2:6. https:\/\/doi.org\/10.1186\/2049-2618-2-6","journal-title":"Microbiome"},{"key":"3207_CR53","doi-asserted-by":"publisher","first-page":"e0227434","DOI":"10.1371\/journal.pone.0227434","volume":"15","author":"A Prodan","year":"2020","unstructured":"Prodan A, Tremaroli V, Brolin H, Zwinderman AH, Nieuwdorp M, Levin E. Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing. PloS one. 2020;15:e0227434. https:\/\/doi.org\/10.1371\/journal.pone.0227434","journal-title":"PloS one"},{"key":"3207_CR54","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.pscychresns.2012.02.007","volume":"203","author":"CH Liu","year":"2012","unstructured":"Liu CH, Li F, Li SF, Wang YJ, Tie CL, Wu HY, et al. Abnormal baseline brain activity in bipolar depression: a resting state functional magnetic resonance imaging study. Psychiatry Res. 2012;203:175\u20139. https:\/\/doi.org\/10.1016\/j.pscychresns.2012.02.007","journal-title":"Psychiatry Res"},{"key":"3207_CR55","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.jad.2014.10.044","volume":"173","author":"M Li","year":"2015","unstructured":"Li M, Huang C, Deng W, Ma X, Han Y, Wang Q, et al. Contrasting and convergent patterns of amygdala connectivity in mania and depression: a resting-state study. J Affect Disord. 2015;173:53\u201358. https:\/\/doi.org\/10.1016\/j.jad.2014.10.044","journal-title":"J Affect Disord"},{"key":"3207_CR56","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.jad.2016.01.042","volume":"195","author":"L Zhao","year":"2016","unstructured":"Zhao L, Wang Y, Jia Y, Zhong S, Sun Y, Zhou Z, et al. Cerebellar microstructural abnormalities in bipolar depression and unipolar depression: A diffusion kurtosis and perfusion imaging study. J Affect Disord. 2016;195:21\u201331. https:\/\/doi.org\/10.1016\/j.jad.2016.01.042","journal-title":"J Affect Disord"},{"key":"3207_CR57","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.bbr.2011.10.034","volume":"227","author":"DR Watson","year":"2012","unstructured":"Watson DR, Anderson JM, Bai F, Barrett SL, McGinnity TM, Mulholland CC, et al. A voxel based morphometry study investigating brain structural changes in first episode psychosis. Behav Brain Res. 2012;227:91\u201399. https:\/\/doi.org\/10.1016\/j.bbr.2011.10.034","journal-title":"Behav Brain Res"},{"key":"3207_CR58","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/S0911-6044(00)00011-7","volume":"13","author":"JD Schmahmann","year":"2000","unstructured":"Schmahmann JD. The role of the cerebellum in affect and psychosis. J Neurolinguist. 2000;13:189\u2013214. https:\/\/doi.org\/10.1016\/S0911-6044(00)00011-7","journal-title":"J Neurolinguist"},{"key":"3207_CR59","doi-asserted-by":"publisher","DOI":"10.1186\/s13229-024-00593-6","volume":"15","author":"Z Guo","year":"2024","unstructured":"Guo Z, Tang X, Xiao S, Yan H, Sun S, Yang Z, et al. Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder. Mol autism. 2024;15:16. https:\/\/doi.org\/10.1186\/s13229-024-00593-6","journal-title":"Mol autism"},{"key":"3207_CR60","doi-asserted-by":"publisher","unstructured":"Chaves T, Fazekas CL, Horvath K, Correia P, Szabo A, Torok B, et al. Stress Adaptation and the Brainstem with Focus on Corticotropin-Releasing Hormone. Int J Mol Sci. 2021;22. https:\/\/doi.org\/10.3390\/ijms22169090","DOI":"10.3390\/ijms22169090"},{"key":"3207_CR61","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1038\/s41564-018-0307-3","volume":"4","author":"P Strandwitz","year":"2019","unstructured":"Strandwitz P, Kim KH, Terekhova D, Liu JK, Sharma A, Levering J, et al. GABA-modulating bacteria of the human gut microbiota. Nat Microbiol. 2019;4:396\u2013403. https:\/\/doi.org\/10.1038\/s41564-018-0307-3","journal-title":"Nat Microbiol"},{"key":"3207_CR62","doi-asserted-by":"publisher","first-page":"10164","DOI":"10.1073\/pnas.0703806104","volume":"104","author":"FM Benes","year":"2007","unstructured":"Benes FM, Lim B, Matzilevich D, Walsh JP, Subburaju S, Minns M. Regulation of the GABA cell phenotype in hippocampus of schizophrenics and bipolars. Proc Natl Acad Sci USA. 2007;104:10164\u20139. https:\/\/doi.org\/10.1073\/pnas.0703806104","journal-title":"Proc Natl Acad Sci USA"},{"key":"3207_CR63","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1016\/j.neubiorev.2010.01.002","volume":"34","author":"SY Cherlyn","year":"2010","unstructured":"Cherlyn SY, Woon PS, Liu JJ, Ong WY, Tsai GC, Sim K. Genetic association studies of glutamate, GABA and related genes in schizophrenia and bipolar disorder: a decade of advance. Neurosci Biobehav Rev. 2010;34:958\u201377. https:\/\/doi.org\/10.1016\/j.neubiorev.2010.01.002","journal-title":"Neurosci Biobehav Rev"},{"key":"3207_CR64","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1111\/cns.13401","volume":"26","author":"XJ Li","year":"2020","unstructured":"Li XJ, You XY, Wang CY, Li XL, Sheng YY, Zhuang PW, et al. Bidirectional Brain-gut-microbiota Axis in increased intestinal permeability induced by central nervous system injury. CNS Neurosci Therapeutics. 2020;26:783\u201390. https:\/\/doi.org\/10.1111\/cns.13401","journal-title":"CNS Neurosci Therapeutics"},{"key":"3207_CR65","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.neubiorev.2020.12.031","volume":"122","author":"MJ Rantala","year":"2021","unstructured":"Rantala MJ, Luoto S, Borraz-Leon JI, Krams I. Bipolar disorder: An evolutionary psychoneuroimmunological approach. Neurosci Biobehav Rev. 2021;122:28\u201337. https:\/\/doi.org\/10.1016\/j.neubiorev.2020.12.031","journal-title":"Neurosci Biobehav Rev"},{"key":"3207_CR66","doi-asserted-by":"publisher","DOI":"10.1186\/1742-2094-10-43","volume":"10","author":"S Najjar","year":"2013","unstructured":"Najjar S, Pearlman DM, Alper K, Najjar A, Devinsky O. Neuroinflammation and psychiatric illness. J Neuroinflammation. 2013;10:43. https:\/\/doi.org\/10.1186\/1742-2094-10-43","journal-title":"J Neuroinflammation"},{"key":"3207_CR67","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1146\/annurev-neuro-071013-014030","volume":"38","author":"ME Raichle","year":"2015","unstructured":"Raichle ME. The brain\u2019s default mode network. Annu Rev Neurosci. 2015;38:433\u201347. https:\/\/doi.org\/10.1146\/annurev-neuro-071013-014030","journal-title":"Annu Rev Neurosci"},{"key":"3207_CR68","doi-asserted-by":"publisher","first-page":"12049","DOI":"10.1523\/JNEUROSCI.1776-14.2014","volume":"34","author":"MA Halko","year":"2014","unstructured":"Halko MA, Farzan F, Eldaief MC, Schmahmann JD, Pascual-Leone A. Intermittent theta-burst stimulation of the lateral cerebellum increases functional connectivity of the default network. J Neurosci : Off J Soc Neurosci. 2014;34:12049\u201356. https:\/\/doi.org\/10.1523\/JNEUROSCI.1776-14.2014","journal-title":"J Neurosci : Off J Soc Neurosci"},{"key":"3207_CR69","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.jad.2023.01.088","volume":"326","author":"C Xue","year":"2023","unstructured":"Xue C, Zhang X, Cao P, Yuan Q, Liang X, Zhang D, et al. Evidence of functional abnormalities in the default mode network in bipolar depression: A coordinate-based activation likelihood estimation meta-analysis. J Affect Disord. 2023;326:96\u2013104. https:\/\/doi.org\/10.1016\/j.jad.2023.01.088","journal-title":"J Affect Disord"},{"key":"3207_CR70","doi-asserted-by":"publisher","first-page":"2826","DOI":"10.1038\/s41380-023-01974-8","volume":"28","author":"MC Schumer","year":"2023","unstructured":"Schumer MC, Chase HW, Rozovsky R, Eickhoff SB, Phillips ML. Prefrontal, parietal, and limbic condition-dependent differences in bipolar disorder: a large-scale meta-analysis of functional neuroimaging studies. Mol Psychiatry. 2023;28:2826\u201338. https:\/\/doi.org\/10.1038\/s41380-023-01974-8","journal-title":"Mol Psychiatry"},{"key":"3207_CR71","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117522","volume":"225","author":"S Moguilner","year":"2021","unstructured":"Moguilner S, Garcia AM, Perl YS, Tagliazucchi E, Piguet O, Kumfor F, et al. Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study. NeuroImage. 2021;225:117522. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117522","journal-title":"NeuroImage"},{"key":"3207_CR72","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.jad.2021.10.109","volume":"298","author":"Q Tang","year":"2022","unstructured":"Tang Q, Cui Q, Chen Y, Deng J, Sheng W, Yang Y, et al. Shared and distinct changes in local dynamic functional connectivity patterns in major depressive and bipolar depressive disorders. J Affect Disord. 2022;298:43\u201350. https:\/\/doi.org\/10.1016\/j.jad.2021.10.109","journal-title":"J Affect Disord"},{"key":"3207_CR73","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1037\/neu0000317","volume":"31","author":"TT Nguyen","year":"2017","unstructured":"Nguyen TT, Kovacevic S, Dev SI, Lu K, Liu TT, Eyler LT. Dynamic functional connectivity in bipolar disorder is associated with executive function and processing speed: A preliminary study. Neuropsychology. 2017;31:73\u201383. https:\/\/doi.org\/10.1037\/neu0000317","journal-title":"Neuropsychology"},{"key":"3207_CR74","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2020.537981","volume":"11","author":"Y Liang","year":"2020","unstructured":"Liang Y, Jiang X, Zhu W, Shen Y, Xue F, Li Y, et al. Disturbances of Dynamic Function in Patients With Bipolar Disorder I and Its Relationship With Executive-Function Deficit. Front psychiatry. 2020;11:537981. https:\/\/doi.org\/10.3389\/fpsyt.2020.537981","journal-title":"Front psychiatry"},{"key":"3207_CR75","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neubiorev.2017.10.001","volume":"83","author":"JV Pinto","year":"2017","unstructured":"Pinto JV, Moulin TC, Amaral OB. On the transdiagnostic nature of peripheral biomarkers in major psychiatric disorders: A systematic review. Neurosci Biobehav Rev. 2017;83:97\u2013108. https:\/\/doi.org\/10.1016\/j.neubiorev.2017.10.001","journal-title":"Neurosci Biobehav Rev"},{"key":"3207_CR76","doi-asserted-by":"publisher","unstructured":"Hiippala K, Jouhten H, Ronkainen A, Hartikainen A, Kainulainen V, Jalanka J, et al. The Potential of Gut Commensals in Reinforcing Intestinal Barrier Function and Alleviating Inflammation. Nutrients. 2018;10. https:\/\/doi.org\/10.3390\/nu10080988.","DOI":"10.3390\/nu10080988"},{"key":"3207_CR77","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1038\/mp.2010.120","volume":"16","author":"B Luscher","year":"2011","unstructured":"Luscher B, Shen Q, Sahir N. The GABAergic deficit hypothesis of major depressive disorder. Mol Psychiatry. 2011;16:383\u2013406. https:\/\/doi.org\/10.1038\/mp.2010.120","journal-title":"Mol Psychiatry"},{"key":"3207_CR78","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/19490976.2020.1848158","volume":"13","author":"H Zafar","year":"2021","unstructured":"Zafar H, Saier MH Jr. Gut Bacteroides species in health and disease. Gut Microbes. 2021;13:1\u201320. https:\/\/doi.org\/10.1080\/19490976.2020.1848158","journal-title":"Gut Microbes"},{"key":"3207_CR79","doi-asserted-by":"publisher","first-page":"2247","DOI":"10.1073\/pnas.1322269111","volume":"111","author":"PV Chang","year":"2014","unstructured":"Chang PV, Hao L, Offermanns S, Medzhitov R. The microbial metabolite butyrate regulates intestinal macrophage function via histone deacetylase inhibition. Proc Natl Acad Sci USA. 2014;111:2247\u201352. https:\/\/doi.org\/10.1073\/pnas.1322269111","journal-title":"Proc Natl Acad Sci USA"},{"key":"3207_CR80","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1016\/j.neubiorev.2010.10.001","volume":"35","author":"M Berk","year":"2011","unstructured":"Berk M, Kapczinski F, Andreazza AC, Dean OM, Giorlando F, Maes M, et al. Pathways underlying neuroprogression in bipolar disorder: focus on inflammation, oxidative stress and neurotrophic factors. Neurosci Biobehav Rev. 2011;35:804\u201317. https:\/\/doi.org\/10.1016\/j.neubiorev.2010.10.001","journal-title":"Neurosci Biobehav Rev"},{"key":"3207_CR81","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.bbi.2021.11.020","volume":"100","author":"S Karthikeyan","year":"2022","unstructured":"Karthikeyan S, Dimick MK, Fiksenbaum L, Jeong H, Birmaher B, Kennedy JL, et al. Inflammatory markers, brain-derived neurotrophic factor, and the symptomatic course of adolescent bipolar disorder: A prospective repeated-measures study. Brain, Behav, Immun. 2022;100:278\u201386. https:\/\/doi.org\/10.1016\/j.bbi.2021.11.020","journal-title":"Brain, Behav, Immun"},{"key":"3207_CR82","doi-asserted-by":"publisher","first-page":"E433","DOI":"10.1152\/ajpendo.00074.2003","volume":"285","author":"A Steensberg","year":"2003","unstructured":"Steensberg A, Fischer CP, Keller C, Moller K, Pedersen BK. IL-6 enhances plasma IL-1ra, IL-10, and cortisol in humans. Am J Physiol Endocrinol Metab. 2003;285:E433\u2013437. https:\/\/doi.org\/10.1152\/ajpendo.00074.2003","journal-title":"Am J Physiol Endocrinol Metab"},{"key":"3207_CR83","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1111\/bdi.12164","volume":"16","author":"JW Hsu","year":"2014","unstructured":"Hsu JW, Lirng JF, Wang SJ, Lin CL, Yang KC, Liao MH, et al. Association of thalamic serotonin transporter and interleukin-10 in bipolar I disorder: a SPECT study. Bipolar Disord. 2014;16:241\u20138. https:\/\/doi.org\/10.1111\/bdi.12164","journal-title":"Bipolar Disord"},{"key":"3207_CR84","doi-asserted-by":"publisher","DOI":"10.1186\/s40168-021-01065-2","volume":"9","author":"Y Lei","year":"2021","unstructured":"Lei Y, Tang L, Liu S, Hu S, Wu L, Liu Y, et al. Parabacteroides produces acetate to alleviate heparanase-exacerbated acute pancreatitis through reducing neutrophil infiltration. Microbiome. 2021;9:115. https:\/\/doi.org\/10.1186\/s40168-021-01065-2","journal-title":"Microbiome"},{"key":"3207_CR85","doi-asserted-by":"publisher","DOI":"10.1186\/s12888-020-02886-5","volume":"20","author":"H Li","year":"2020","unstructured":"Li H, Cui L, Cao L, Zhang Y, Liu Y, Deng W, et al. Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques. BMC psychiatry. 2020;20:488. https:\/\/doi.org\/10.1186\/s12888-020-02886-5","journal-title":"BMC psychiatry"},{"key":"3207_CR86","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1177\/0004867419888027","volume":"54","author":"B Wollenhaupt-Aguiar","year":"2020","unstructured":"Wollenhaupt-Aguiar B, Librenza-Garcia D, Bristot G, Przybylski L, Stertz L, Kubiachi Burque R, et al. Differential biomarker signatures in unipolar and bipolar depression: A machine learning approach. Aust N. Z J Psychiatry. 2020;54:393\u2013401. https:\/\/doi.org\/10.1177\/0004867419888027","journal-title":"Aust N. Z J Psychiatry"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-024-03207-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-024-03207-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-024-03207-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T15:06:46Z","timestamp":1734534406000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-024-03207-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,18]]},"references-count":86,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["3207"],"URL":"https:\/\/doi.org\/10.1038\/s41398-024-03207-0","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,18]]},"assertion":[{"value":"22 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 December 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"All samples were collected from for participates whom full written consent in accordance with the World Medical Associations Declaration of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}}],"article-number":"495"}}