Suppr超能文献

一种新方法可用于鉴定精神分裂症和抗结核药物性肝损伤的致病基因。

A new method for identifying causal genes of schizophrenia and anti-tuberculosis drug-induced hepatotoxicity.

机构信息

Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Key Laboratory of Psychotic Disorders (No. 13dz2260500), Shanghai Jiaotong University, Shanghai 200030, China.

Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

出版信息

Sci Rep. 2016 Sep 1;6:32571. doi: 10.1038/srep32571.

Abstract

Schizophrenia (SCZ) may cause tuberculosis, the treatments for which can induce anti-tuberculosis drug-induced hepatotoxicity (ATDH) and SCZ-like disorders. To date, the causal genes of both SCZ and ATDH are unknown. To identify them, we proposed a new network-based method by integrating network random walk with restart algorithm, gene set enrichment analysis, and hypergeometric test; using this method, we identified 500 common causal genes. For gene validation, we created a regularly updated online database ATDH-SCZgenes and conducted a systematic meta-analysis of the association of each gene with either disease. Till now, only GSTM1 and GSTT1 have been well studied with respect to both diseases; and a total of 23 high-quality association studies were collected for the current meta-analysis validation. Finally, the GSTM1 present genotype was confirmed to be significantly associated with both ATDH [Odds Ratio (OR): 0.71, 95% confidence interval (CI): 0.56-0.90, P = 0.005] and SCZ (OR: 0.78, 95% CI: 0.66-0.92, P = 0.004) according to the random-effect model. Furthermore, these significant results were supported by "moderate" evidence according to the Venice criteria. Our findings indicate that GSTM1 may be a causal gene of both ATDH and SCZ, although further validation pertaining to other genes, such as CYP2E1 or DRD2, is necessary.

摘要

精神分裂症 (SCZ) 可能导致结核病,其治疗方法会引起抗结核药物性肝毒性 (ATDH) 和类似精神分裂症的疾病。迄今为止,SCZ 和 ATDH 的致病基因尚不清楚。为了确定这些基因,我们提出了一种新的基于网络的方法,该方法结合了网络随机游走再启动算法、基因集富集分析和超几何检验;使用这种方法,我们确定了 500 个常见的致病基因。为了验证基因,我们创建了一个定期更新的在线数据库 ATDH-SCZgenes,并对每个基因与疾病的相关性进行了系统的荟萃分析。到目前为止,只有 GSTM1 和 GSTT1 这两个基因与这两种疾病都有很好的研究;总共收集了 23 项高质量的关联研究来进行本次荟萃分析验证。最后,发现 GSTM1 现有基因型与 ATDH [比值比 (OR):0.71,95%置信区间 (CI):0.56-0.90,P = 0.005] 和 SCZ [OR:0.78,95% CI:0.66-0.92,P = 0.004] 均显著相关,根据随机效应模型。此外,根据威尼斯标准,这些显著结果得到了“中等”证据的支持。我们的研究结果表明,GSTM1 可能是 ATDH 和 SCZ 的致病基因,尽管需要进一步验证 CYP2E1 或 DRD2 等其他基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e70/5007646/897d7f5af633/srep32571-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验