ProMENDA: an updated resource for proteomic and metabolomic characterization in depression

作者全名：Pu, Juncai; Yu, Yue; Liu, Yiyun; Wang, Dongfang; Gui, Siwen; Zhong, Xiaogang; Chen, Weiyi; Chen, Xiaopeng; Chen, Yue; Chen, Xiang; Qiao, Renjie; Jiang, Yanyi; Zhang, Hanping; Fan, Li; Ren, Yi; Chen, Xiangyu; Wang, Haiyang; Xie, Peng

作者地址：[Pu, Juncai; Chen, Weiyi; Chen, Xiaopeng; Chen, Yue; Chen, Xiang; Qiao, Renjie; Jiang, Yanyi; Zhang, Hanping; Fan, Li; Ren, Yi; Chen, Xiangyu; Xie, Peng] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing 400016, Peoples R China; [Pu, Juncai; Liu, Yiyun; Wang, Dongfang; Gui, Siwen; Zhong, Xiaogang; Chen, Weiyi; Chen, Xiaopeng; Chen, Yue; Chen, Xiang; Qiao, Renjie; Jiang, Yanyi; Zhang, Hanping; Fan, Li; Ren, Yi; Chen, Xiangyu; Wang, Haiyang; Xie, Peng] Chongqing Med Univ, Affiliated Hosp 1, NHC Key Lab Diag & Treatment Brain Funct Dis, Chongqing 400016, Peoples R China; [Yu, Yue] Mayo Clin, Dept Hlth Sci Res, Rochester, MN 55901 USA; [Xie, Peng] Jinfeng Lab, Chongqing 401336, Peoples R China; [Xie, Peng] Chongqing Inst Brain & Intelligence, Chongqing 400072, Peoples R China

通信作者：Xie, P (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing 400016, Peoples R China.; Xie, P (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, NHC Key Lab Diag & Treatment Brain Funct Dis, Chongqing 400016, Peoples R China.; Xie, P (通讯作者)，Jinfeng Lab, Chongqing 401336, Peoples R China.; Xie, P (通讯作者)，Chongqing Inst Brain & Intelligence, Chongqing 400072, Peoples R China.

来源：TRANSLATIONAL PSYCHIATRY

ESI学科分类：PSYCHIATRY/PSYCHOLOGY

WOS号：WOS:001235603700004

JCR分区：Q1

影响因子：5.8

年份：2024

卷号：14

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要：Depression is a prevalent mental disorder with a complex biological mechanism. Following the rapid development of systems biology technology, a growing number of studies have applied proteomics and metabolomics to explore the molecular profiles of depression. However, a standardized resource facilitating the identification and annotation of the available knowledge from these scattered studies associated with depression is currently lacking. This study presents ProMENDA, an upgraded resource that provides a platform for manual annotation of candidate proteins and metabolites linked to depression. Following the establishment of the protein dataset and the update of the metabolite dataset, the ProMENDA database was developed as a major extension of its initial release. A multi-faceted annotation scheme was employed to provide comprehensive knowledge of the molecules and studies. A new web interface was also developed to improve the user experience. The ProMENDA database now contains 43,366 molecular entries, comprising 20,847 protein entries and 22,519 metabolite entries, which were manually curated from 1370 human, rat, mouse, and non-human primate studies. This represents a significant increase (more than 7-fold) in molecular entries compared to the initial release. To demonstrate the usage of ProMENDA, a case study identifying consistently reported proteins and metabolites in the brains of animal models of depression was presented. Overall, ProMENDA is a comprehensive resource that offers a panoramic view of proteomic and metabolomic knowledge in depression. ProMENDA is freely available at https://menda.cqmu.edu.cn.

基金机构：the Joint project of Chongqing Municipal Science and Technology Bureau and Chongqing Health Commission (2023CCXM003), the Natural Science Foundation Project of China (81820108015), the National Key Research and Development Program of China (2017YFA0505700) [82101596, 82371526, 81820108015]; Natural Science Foundation Project of China [2023CCXM003]; Joint project of Chongqing Municipal Science and Technology Bureau and Chongqing Health Commission [2017YFA0505700]; National Key Research and Development Program of China [2021QNRC001]; Young Elite Scientists Sponsorship Program by CAST [2022MD723735]; China Postdoctoral Science Foundation [cstc2022ycjh-bgzxm0033]; Natural Science Foundation of Chongqing [2022NSCQ-BHX1283]; Chongqing Postdoctoral Science Foundation

基金资助正文：This work was supported by the Natural Science Foundation Project of China (Grant no. 82101596, 82371526, and 81820108015), the Joint project of Chongqing Municipal Science and Technology Bureau and Chongqing Health Commission (Grant no. 2023CCXM003), the National Key Research and Development Program of China (Grant no. 2017YFA0505700), the Young Elite Scientists Sponsorship Program by CAST (Grant no. 2021QNRC001), the China Postdoctoral Science Foundation (Grant no. 2022MD723735), the Natural Science Foundation of Chongqing (Grant no. cstc2022ycjh-bgzxm0033), and the Chongqing Postdoctoral Science Foundation (Grant no. 2022NSCQ-BHX1283). We thank Home for Researchers editorial team (www.home-for-researchers.com) for language editing service.