Suppr超能文献

与 2 型糖尿病患者糖尿病视网膜病变相关的代谢组学特征。

Metabolomics profiles associated with diabetic retinopathy in type 2 diabetes patients.

机构信息

Division of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.

College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea.

出版信息

PLoS One. 2020 Oct 29;15(10):e0241365. doi: 10.1371/journal.pone.0241365. eCollection 2020.

Abstract

Diabetic retinopathy (DR) is a common complication of diabetes, and it is the consequence of microvascular retinal changes due to high glucose levels over a long time. Metabolomics profiling is a rapidly evolving method used to identify the metabolites in biological fluids and investigate disease progression. In this study, we used a targeted metabolomics approach to quantify the serum metabolites in type 2 diabetes (T2D) patients. Diabetes patients were divided into three groups based on the status of their complications: non-DR (NDR, n = 143), non-proliferative DR (NPDR, n = 123), and proliferative DR (PDR, n = 51) groups. Multiple logistic regression analysis and multiple testing corrections were performed to identify the significant differences in the metabolomics profiles of the different analysis groups. The concentrations of 62 metabolites of the NDR versus DR group, 53 metabolites of the NDR versus NPDR group, and 30 metabolites of the NDR versus PDR group were found to be significantly different. Finally, sixteen metabolites were selected as specific metabolites common to NPDR and PDR. Among them, three metabolites including total DMA, tryptophan, and kynurenine were potential makers of DR progression in T2D patients. Additionally, several metabolites such as carnitines, several amino acids, and phosphatidylcholines also showed a marker potential. The metabolite signatures identified in this study will provide insight into the mechanisms underlying DR development and progression in T2D patients in future studies.

摘要

糖尿病性视网膜病变(DR)是糖尿病的常见并发症,是由于长期高血糖引起的微血管视网膜变化的结果。代谢组学分析是一种快速发展的方法,用于鉴定生物体液中的代谢物并研究疾病的进展。在这项研究中,我们使用靶向代谢组学方法来定量 2 型糖尿病(T2D)患者的血清代谢物。根据并发症的情况,将糖尿病患者分为三组:无糖尿病视网膜病变(NDR,n=143)、非增殖性糖尿病视网膜病变(NPDR,n=123)和增殖性糖尿病视网膜病变(PDR,n=51)组。进行了多变量逻辑回归分析和多重检验校正,以确定不同分析组代谢组学图谱的显著差异。与 DR 组相比,NDR 组的 62 种代谢物浓度、NDR 组与 NPDR 组相比的 53 种代谢物浓度以及 NDR 组与 PDR 组相比的 30 种代谢物浓度差异显著。最后,选择了 16 种代谢物作为 NPDR 和 PDR 共有的特异性代谢物。其中,包括总 DMA、色氨酸和犬尿氨酸在内的三种代谢物可能是 T2D 患者 DR 进展的潜在标志物。此外,肉碱、几种氨基酸和磷脂酰胆碱等几种代谢物也显示出标志物的潜力。本研究中确定的代谢特征将为进一步研究 T2D 患者 DR 发展和进展的机制提供深入的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd5f/7595280/17fb116d7f57/pone.0241365.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验