{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T21:54:51Z","timestamp":1792446891814,"version":"4.5.0"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFC1710302"],"award-info":[{"award-number":["2019YFC1710302"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Province Science and Technology Support Program","doi-asserted-by":"publisher","award":["2023NSFSC1824"],"award-info":[{"award-number":["2023NSFSC1824"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82305363"],"award-info":[{"award-number":["82305363"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Affective Disorders"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.jad.2023.12.045","type":"journal-article","created":{"date-parts":[[2023,12,30]],"date-time":"2023-12-30T16:09:39Z","timestamp":1703952579000},"page":"738-745","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Genetic evidence suggests a genetic association between major depressive disorder and reduced cortical gray matter volume: A Mendelian randomization study and mediation analysis"],"prefix":"10.1016","volume":"351","author":[{"given":"Jixi","family":"Cai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaobo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaling","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongling","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhong","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongjiang","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2023.12.045_bb0005","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/j.bbi.2019.07.020","article-title":"Inflammatory biomarkers and brain health indicators in children with overweight and obesity: the ActiveBrains project","volume":"81","author":"Adelantado-Renau","year":"2019","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.jad.2023.12.045_bb0010","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1002\/jrsm.1346","article-title":"Meta-analysis and Mendelian randomization: a review","volume":"10","author":"Bowden","year":"2019","journal-title":"Res. Synth. Methods"},{"key":"10.1016\/j.jad.2023.12.045_bb0015","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1093\/aje\/kwu283","article-title":"Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects","volume":"181","author":"Burgess","year":"2015","journal-title":"Am. J. Epidemiol."},{"key":"10.1016\/j.jad.2023.12.045_bb0020","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1093\/ije\/dyr036","article-title":"Avoiding bias from weak instruments in Mendelian randomization studies","volume":"40","author":"Burgess","year":"2011","journal-title":"Int. J. Epidemiol."},{"key":"10.1016\/j.jad.2023.12.045_bb0025","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s10654-015-0011-z","article-title":"Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors","volume":"30","author":"Burgess","year":"2015","journal-title":"Eur. J. Epidemiol."},{"key":"10.1016\/j.jad.2023.12.045_bb0030","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1177\/0962280215597579","article-title":"A review of instrumental variable estimators for Mendelian randomization","volume":"26","author":"Burgess","year":"2017","journal-title":"Stat. Methods Med. Res."},{"key":"10.1016\/j.jad.2023.12.045_bb0035","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.bbi.2018.11.007","article-title":"Longitudinal association between inflammatory markers and specific symptoms of depression in a prospective birth cohort","volume":"76","author":"Chu","year":"2019","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.jad.2023.12.045_bb0040","article-title":"Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians","volume":"362","author":"Davies","year":"2018","journal-title":"BMJ"},{"key":"10.1016\/j.jad.2023.12.045_bb0045","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1038\/s41586-018-0571-7","article-title":"Genome-wide association studies of brain imaging phenotypes in UK Biobank","volume":"562","author":"Elliott","year":"2018","journal-title":"Nature"},{"key":"10.1016\/j.jad.2023.12.045_bb0050","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1038\/s42255-020-00287-2","article-title":"Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals","volume":"2","author":"Folkersen","year":"2020","journal-title":"Nat. Metab."},{"key":"10.1016\/j.jad.2023.12.045_bb0055","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1176\/appi.ajp.2019.19050560","article-title":"Multimodal abnormalities of brain structure and function in major depressive disorder: a meta-analysis of neuroimaging studies","volume":"177","author":"Gray","year":"2020","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.jad.2023.12.045_bb0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2023.103403","article-title":"Altered gray matter volumes and plasma IL-6 level in major depressive disorder patients with suicidal ideation","volume":"38","author":"Guo","year":"2023","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.jad.2023.12.045_bb0065","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1001\/jamapsychiatry.2017.4602","article-title":"Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States","volume":"75","author":"Hasin","year":"2018","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.jad.2023.12.045_bb0070","doi-asserted-by":"crossref","first-page":"2692","DOI":"10.1161\/STROKEAHA.118.022317","article-title":"C-reactive protein, plasma amyloid-\u03b2 levels, and their interaction with magnetic resonance imaging markers","volume":"49","author":"Hilal","year":"2018","journal-title":"Stroke"},{"key":"10.1016\/j.jad.2023.12.045_bb0075","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1038\/mp.2016.167","article-title":"Antidepressant activity of anti-cytokine treatment: a systematic review and meta-analysis of clinical trials of chronic inflammatory conditions","volume":"23","author":"Kappelmann","year":"2018","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.12.045_bb0080","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1001\/jamapsychiatry.2020.3436","article-title":"Dissecting the association between inflammation, metabolic dysregulation, and specific depressive symptoms: a genetic correlation and 2-sample Mendelian randomization Study","volume":"78","author":"Kappelmann","year":"2021","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.jad.2023.12.045_bb0085","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.pscychresns.2014.12.004","article-title":"Comparison of grey matter volume and thickness for analysing cortical changes in chronic schizophrenia: a matter of surface area, grey\/white matter intensity contrast, and curvature","volume":"231","author":"Kong","year":"2015","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.jad.2023.12.045_bb0090","doi-asserted-by":"crossref","first-page":"3719","DOI":"10.1002\/hbm.20801","article-title":"Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies","volume":"30","author":"Koolschijn","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.12.045_bb0095","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.pscychresns.2012.06.006","article-title":"Gray matter volume in major depressive disorder: a meta-analysis of voxel-based morphometry studies","volume":"211","author":"Lai","year":"2013","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.jad.2023.12.045_bb0100","doi-asserted-by":"crossref","first-page":"2597","DOI":"10.1016\/j.celrep.2017.11.028","article-title":"Large-scale cognitive GWAS meta-analysis reveals tissue-specific neural expression and potential nootropic drug targets","volume":"21","author":"Lam","year":"2017","journal-title":"Cell Rep."},{"key":"10.1016\/j.jad.2023.12.045_bb0105","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.ajhg.2018.09.009","article-title":"Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders","volume":"103","author":"Ligthart","year":"2018","journal-title":"Am. J. Hum. Genet."},{"key":"10.1016\/j.jad.2023.12.045_bb0110","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1038\/s42003-019-0361-2","article-title":"Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease","volume":"2","author":"Marouli","year":"2019","journal-title":"Commun. Biol."},{"key":"10.1016\/j.jad.2023.12.045_bb0115","article-title":"Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration","volume":"375","author":"Skrivankova","year":"2021","journal-title":"BMJ"},{"key":"10.1016\/j.jad.2023.12.045_bb0120","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1038\/ng.3869","article-title":"Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence","volume":"49","author":"Sniekers","year":"2017","journal-title":"Nat. Genet."},{"key":"10.1016\/j.jad.2023.12.045_bb0125","article-title":"Interleukin 6 associates with reduced grey matter volume and resting-state connectivity in the anterior cingulate cortex in bipolar patients","volume":"26","author":"Vai","year":"2022","journal-title":"Brain Behav. Immun. Health"},{"key":"10.1016\/j.jad.2023.12.045_bb0130","article-title":"Brain structural abnormalities in adult major depressive disorder revealed by voxel- and source-based morphometry: evidence from the REST-meta-MDD consortium","volume":"1\u201311","author":"Wang","year":"2022","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2023.12.045_bb0135","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1038\/s41380-019-0471-8","article-title":"Effects of immunomodulatory drugs on depressive symptoms: a mega-analysis of randomized, placebo-controlled clinical trials in inflammatory disorders","volume":"25","author":"Wittenberg","year":"2020","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.12.045_bb0140","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1038\/s41588-018-0090-3","article-title":"Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression","volume":"50","author":"Wray","year":"2018","journal-title":"Nat. Genet."},{"key":"10.1016\/j.jad.2023.12.045_bb0145","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1111\/cns.12835","article-title":"Brain structure alterations in depression: psychoradiological evidence","volume":"24","author":"Zhang","year":"2018","journal-title":"CNS Neurosci. Ther."}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723015136?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723015136?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T02:48:16Z","timestamp":1720061296000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032723015136"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":29,"alternative-id":["S0165032723015136"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2023.12.045","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Genetic evidence suggests a genetic association between major depressive disorder and reduced cortical gray matter volume: A Mendelian randomization study and mediation analysis","name":"articletitle","label":"Article Title"},{"value":"Journal of Affective Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jad.2023.12.045","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}