Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease.
Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease.
复制标题
DOI：
10.1002/hbm.26235
复制
发表时间：
2023-04-15
影响因子：
4.8
通讯作者：
Kochunov, Peter
中科院分区：
文献类型：
--
作者：
Hatch, Kathryn S.;Gao, Si;Ma, Yizhou;Russo, Alessandro;Jahanshad, Neda;Thompson, Paul M.;Adhikari, Bhim M.;Bruce, Heather;Van Der Vaart, Andrew;Sotiras, Aristeidis;Kvarta, Mark D.;Nichols, Thomas E.;Schmaal, Lianne;Hong, L. Elliot;Kochunov, Peter
代谢性疾病(MET)损害大脑的完整性，是包括严重抑郁障碍(MDD)在内的精神疾病患者的常见共病。我们在英国生物库参与者的大样本中量化了MET对来自3D脑MRI和弥散磁共振成像的标准脑局部形态测量的影响。在非精神性UKBB受试者中，MET的区域效应大小的模式与MDD中最大荟萃分析报告的区域效应的空间分布显著相关，但在双相情感障碍、精神分裂症或阿尔茨海默病中则不相关。我们使用MET的区域脆弱性指数(RVI-MET)来衡量个人大脑与英国生物库样本中MET预期模式的相似性。患有MET的受试者在RVI-MET上显示出比任何单独的大脑测量都要高的效应大小。我们在患有MET和非MET的MDD参与者样本中复制了RVI-MET的升高。在两组中，RVI-MET评分与白质高信号的体积显著相关，白质高信号是MET和年龄的神经学后果。两个样本中较高的RVI-MET与肥胖、吸烟和频繁饮酒有关，但与抗抑郁药的使用无关。总而言之，MET对大脑的影响是区域性的，与MET模式的个体相似性与MET的相关性比任何区域大脑结构指标都更强。MET的影响与已报道的MDD大脑差异重叠，可能是由于MET、吸烟和酗酒在MDD受试者中更高的发生率。代谢性疾病(MET)损害大脑的完整性，是包括严重抑郁障碍在内的精神疾病患者的常见并存疾病。我们提出了一个用于MET的区域易损性指数(RVI-MET)来衡量每个个体的大脑与MET中通过分析大规模元数据发现的预期模式的相似性
Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder (MDD). We quantified effects of MET on standard regional brain morphometric measures from 3D brain MRI as well as diffusion MRI in a large sample of UK BioBank participants. The pattern of regional effect sizes of MET in non‐psychiatric UKBB subjects was significantly correlated with the spatial profile of regional effects reported by the largest meta‐analyses in MDD but not in bipolar disorder, schizophrenia or Alzheimer's disease. We used a regional vulnerability index (RVI) for MET (RVI‐MET) to measure individual's brain similarity to the expected patterns in MET in the UK Biobank sample. Subjects with MET showed a higher effect size for RVI‐MET than for any of the individual brain measures. We replicated elevation of RVI‐MET in a sample of MDD participants with MET versus non‐MET. RVI‐MET scores were significantly correlated with the volume of white matter hyperintensities, a neurological consequence of MET and age, in both groups. Higher RVI‐MET in both samples was associated with obesity, tobacco smoking and frequent alcohol use but was unrelated to antidepressant use. In summary, MET effects on the brain were regionally specific and individual similarity to the pattern was more strongly associated with MET than any regional brain structural metric. Effects of MET overlapped with the reported brain differences in MDD, likely due to higher incidence of MET, smoking and alcohol use in subjects with MDD. Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder. We propose a regional vulnerability index for MET (RVI‐MET) to measure each an individual's brain similarity to the expected patterns in MET found by analysis of large scale meta‐data
登录
查看更多内容
影响因子：
2
作者：
Fu, Wenjing;Ma, Lina;Liu, Huizhen
通讯作者：
Liu, Huizhen
影响因子：
4.8
作者：
Hennekens, CH;Hennekens, AR;Casey, DE
通讯作者：
Casey, DE
影响因子：
11
作者：
Kelly S;Jahanshad N;Zalesky A;Kochunov P;Agartz I;Alloza C;Andreassen OA;Arango C;Banaj N;Bouix S;Bousman CA;Brouwer RM;Bruggemann J;Bustillo J;Cahn W;Calhoun V;Cannon D;Carr V;Catts S;Chen J;Chen JX;Chen X;Chiapponi C;Cho KK;Ciullo V;Corvin AS;Crespo-Facorro B;Cropley V;De Rossi P;Diaz-Caneja CM;Dickie EW;Ehrlich S;Fan FM;Faskowitz J;Fatouros-Bergman H;Flyckt L;Ford JM;Fouche JP;Fukunaga M;Gill M;Glahn DC;Gollub R;Goudzwaard ED;Guo H;Gur RE;Gur RC;Gurholt TP;Hashimoto R;Hatton SN;Henskens FA;Hibar DP;Hickie IB;Hong LE;Horacek J;Howells FM;Hulshoff Pol HE;Hyde CL;Isaev D;Jablensky A;Jansen PR;Janssen J;Jönsson EG;Jung LA;Kahn RS;Kikinis Z;Liu K;Klauser P;Knöchel C;Kubicki M;Lagopoulos J;Langen C;Lawrie S;Lenroot RK;Lim KO;Lopez-Jaramillo C;Lyall A;Magnotta V;Mandl RCW;Mathalon DH;McCarley RW;McCarthy-Jones S;McDonald C;McEwen S;McIntosh A;Melicher T;Mesholam-Gately RI;Michie PT;Mowry B;Mueller BA;Newell DT;O'Donnell P;Oertel-Knöchel V;Oestreich L;Paciga SA;Pantelis C;Pasternak O;Pearlson G;Pellicano GR;Pereira A;Pineda Zapata J;Piras F;Potkin SG;Preda A;Rasser PE;Roalf DR;Roiz R;Roos A;Rotenberg D;Satterthwaite TD;Savadjiev P;Schall U;Scott RJ;Seal ML;Seidman LJ;Shannon Weickert C;Whelan CD;Shenton ME;Kwon JS;Spalletta G;Spaniel F;Sprooten E;Stäblein M;Stein DJ;Sundram S;Tan Y;Tan S;Tang S;Temmingh HS;Westlye LT;Tønnesen S;Tordesillas-Gutierrez D;Doan NT;Vaidya J;van Haren NEM;Vargas CD;Vecchio D;Velakoulis D;Voineskos A;Voyvodic JQ;Wang Z;Wan P;Wei D;Weickert TW;Whalley H;White T;Whitford TJ;Wojcik JD;Xiang H;Xie Z;Yamamori H;Yang F;Yao N;Zhang G;Zhao J;van Erp TGM;Turner J;Thompson PM;Donohoe G
通讯作者：
Donohoe G
影响因子：
17.7
作者：
Andersohn, Frank;Schade, Rene;Garbe, Edeltraut
通讯作者：
Garbe, Edeltraut
DOI：
10.3233/jad-215657
发表时间：
2022
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Du XL;Song L;Schulz PE;Xu H;Chan W
通讯作者：
Chan W