抑郁症跨物种多组织代谢物数据库

既往研究发现抑郁症患者和动物模型的多种样本中存在代谢物改变。然而很少有系统性工作来收集和整合这些具有重要生物学意义的大数据。本项目组通过整合公共数据及课题组自测数据，对采用质谱、核磁共振及磁共振波谱分析等技术进行抑郁及其治疗相关代谢物检测的研究进行整合，通过人工数据采集和数据注释，共获得5675条抑郁发病及其治疗相关的代谢物信息。

Previous studies have reported metabolite alterations in multiple samples from patients with depression and animal models. However, there have been few systematic efforts to collect and integrate these large-scale datasets with critical biological implications. In this project, our team integrated public datasets and in-house data generated by our research group, compiling studies that detected metabolites associated with depression and its treatments using technologies including mass spectrometry, nuclear magnetic resonance (NMR), and magnetic resonance spectroscopy (MRS). Through manual data collection and annotation, we obtained a total of 5,675 entries of metabolite information related to depression onset and its treatment.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于抑郁症研究的代谢物数据库，通过整合公共数据和自测数据，系统性地收集了跨物种和多组织的5675条抑郁发病及治疗相关代谢物信息，采用质谱和核磁共振等技术进行检测，并经过人工数据采集和注释。它旨在为抑郁症的生物学机制研究和治疗提供大规模、高质量的代谢组学数据支持，数据来源于重庆医科大学承担的国家重点研发计划项目。