MDDOmics: multi-omics resource of major depressive disorder

被引:0
|
作者
Zhao, Yichao [1 ]
Xiang, Ju [2 ]
Shi, Xingyuan [1 ]
Jia, Pengzhen [1 ]
Zhang, Yan [3 ,4 ]
Li, Min [1 ]
机构
[1] Cent South Univ, Sch Comp Sci & Engn, 932 South Lushan Rd, Changsha 410083, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, 45 Chiling Rd, Changsha 410114, Peoples R China
[3] Cent South Univ, Xiangya Hosp 2, Dept Psychiat, 139 Renmin Rd Cent, Changsha 410011, Peoples R China
[4] Cent South Univ, Xiangya Hosp 2, Natl Clin Res Ctr Mental Disorders, 139 Renmin Rd Cent, Changsha 410011, Peoples R China
关键词
GENE-EXPRESSION; DATABASE; REPOSITORY; DISEASE; HEALTH;
D O I
10.1093/database/baae042
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Major depressive disorder (MDD) is a pressing global health issue. Its pathogenesis remains elusive, but numerous studies have revealed its intricate associations with various biological factors. Consequently, there is an urgent need for a comprehensive multi-omics resource to help researchers in conducting multi-omics data analysis for MDD. To address this issue, we constructed the MDDOmics database (Major Depressive Disorder Omics, (https://www.csuligroup.com/MDDOmics/), which integrates an extensive collection of published multi-omics data related to MDD. The database contains 41 222 entries of MDD research results and several original datasets, including Single Nucleotide Polymorphisms, genes, non-coding RNAs, DNA methylations, metabolites and proteins, and offers various interfaces for searching and visualization. We also provide extensive downstream analyses of the collected MDD data, including differential analysis, enrichment analysis and disease-gene prediction. Moreover, the database also incorporates multi-omics data for bipolar disorder, schizophrenia and anxiety disorder, due to the challenge in differentiating MDD from similar psychiatric disorders. In conclusion, by leveraging the rich content and online interfaces from MDDOmics, researchers can conduct more comprehensive analyses of MDD and its similar disorders from various perspectives, thereby gaining a deeper understanding of potential MDD biomarkers and intricate disease pathogenesis.Database URL: https://www.csuligroup.com/MDDOmics/
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Multi-Omics Characterization of Early- and Adult-Onset Major Depressive Disorder
    Grant, Caroline W.
    Barreto, Erin F.
    Kumar, Rakesh
    Kaddurah-Daouk, Rima
    Skime, Michelle
    Mayes, Taryn
    Carmody, Thomas
    Biernacka, Joanna
    Wang, Liewei
    Weinshilboum, Richard
    Trivedi, Madhukar H.
    Bobo, William, V
    Croarkin, Paul E.
    Athreya, Arjun P.
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (03):
  • [2] Multi-omics reveal microbial determinants impacting the treatment outcome of antidepressants in major depressive disorder
    Wang, Yaping
    Zhou, Jingjing
    Ye, Junbin
    Sun, Zuoli
    He, Yi
    Zhao, Yingxin
    Ren, Siyu
    Zhang, Guofu
    Liu, Min
    Zheng, Peng
    Wang, Gang
    Yang, Jian
    MICROBIOME, 2023, 11 (01)
  • [3] Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics data
    Tang, Lili
    Tang, Rui
    Zheng, Junjie
    Zhao, Pengfei
    Zhu, Rongxin
    Tang, Yanqing
    Zhang, Xizhe
    Gong, Xiaohong
    Wang, Fei
    TRANSLATIONAL PSYCHIATRY, 2025, 15 (01):
  • [4] Multi-omics reveal microbial determinants impacting the treatment outcome of antidepressants in major depressive disorder
    Yaping Wang
    Jingjing Zhou
    Junbin Ye
    Zuoli Sun
    Yi He
    Yingxin Zhao
    Siyu Ren
    Guofu Zhang
    Min Liu
    Peng Zheng
    Gang Wang
    Jian Yang
    Microbiome, 11
  • [5] A multi-omics integration framework applied to major depressive disorders
    Mokhtari, Amazigh
    Cohen, David
    Gloaguen, Arnaud
    Derouin, Margot
    Ibrahim, El-Cherif
    Belzeaux, Raoul
    Etain, Bruno
    Marie-Claire, Cynthia
    Lutz, Pierre-Eric
    Delahaye-Duriez, Andree
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2023, 31 : 606 - 606
  • [6] Integrated multi-omics analysis reveals gut microbiota dysbiosis and systemic disturbance in major depressive disorder
    Xie, Zuoquan
    Huang, Jingjing
    Sun, Guangqiang
    He, Shen
    Luo, Zhiyu
    Zhang, Linna
    Li, Liang
    Yao, Min
    Du, Chen
    Yu, Wenjuan
    Feng, Yuan
    Yang, Dabing
    Zhang, Jing
    Ge, Changrong
    Li, Huafang
    Geng, Meiyu
    PSYCHIATRY RESEARCH, 2024, 334
  • [7] Characteristics of gut microbiota and metabolic phenotype in patients with major depressive disorder based on multi-omics analysis
    Zu, Xianpeng
    Xin, Jiayun
    Xie, Haisheng
    Xu, Xike
    Shen, Yunheng
    Wang, Jinxin
    Tian, Saisai
    Wen, Yukun
    Li, Hongxia
    Yang, Jishun
    Fang, Yiqun
    JOURNAL OF AFFECTIVE DISORDERS, 2024, 344 : 563 - 576
  • [8] Multi-Omics Profiling of Human Hippocampus Reveals Increased Inflammation and Transcription Instability in Major Depressive Disorder
    Xiao, Yang
    Mariani, Madeline
    Su, Graham
    Deng, Yanxiang
    Sissoko, Cheick A.
    Li, Tianyu
    Ma, Sai
    Bai, Zhiliang
    Liu, Yang
    Rosoklija, Gorazd
    Wu, Tingting
    Dwork, Andrew J.
    Hen, Rene
    Mann, J. John
    Fan, Rong
    Leong, Kam
    Boldrini, Maura
    BIOLOGICAL PSYCHIATRY, 2024, 95 (10) : S68 - S69
  • [9] Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder
    Athreya, Arjun
    Iyer, Ravishankar
    Neavin, Drew
    Wang, Liewei
    Weinshilboum, Richard
    Kaddurah-Daouk, Rima
    Rush, John
    Frye, Mark
    Bobo, William
    IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2018, 13 (03) : 20 - 31
  • [10] A pilot exploration of multi-omics research of gut microbiome in major depressive disorders
    Zhao, Haoyang
    Jin, Kangyu
    Jiang, Chaonan
    Pan, Fen
    Wu, Jing
    Luan, Honglin
    Zhao, Zhiyong
    Chen, Jingkai
    Mou, Tingting
    Wang, Zheng
    Lu, Jing
    Lu, Shaojia
    Hu, Shaohua
    Xu, Yi
    Huang, Manli
    TRANSLATIONAL PSYCHIATRY, 2022, 12 (01)