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探讨具有不同致病因素的慢性肾脏病与肠道微生物群-代谢物特征之间的相关性。

Exploring the Relevance between Gut Microbiota-Metabolites Profile and Chronic Kidney Disease with Distinct Pathogenic Factor.

机构信息

Division of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.

Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

出版信息

Microbiol Spectr. 2023 Feb 14;11(1):e0280522. doi: 10.1128/spectrum.02805-22. Epub 2022 Dec 8.

Abstract

The intimate correlation of chronic kidney disease (CKD) with structural alteration in gut microbiota or metabolite profile has been documented in a growing body of studies. Nevertheless, a paucity of demonstrated knowledge regarding the impact and underlying mechanism of gut microbiota or metabolite on occurrence or progression of CKD is unclarified thus far. In this study, a liquid chromatography coupled-mass spectrometry and long-read sequencing were applied to identify gut metabolites and microbiome with statistically-discriminative abundance in diabetic CKD patients (=39), hypertensive CKD patients (=26), or CKD patients without comorbidity (=40) compared to those of healthy participants (=60). The association between CKD-related species and metabolite was evaluated by using zero-inflated negative binomial (ZINB) regression. The predictive utility of identified operational taxonomic units (OTUs), metabolite, or species-metabolite association toward the diagnosis of incident chronic kidney disease with distinct pathogenic factor was assessed using the random forest regression model and the receiver operating characteristic (ROC) curve. The results of statistical analyses indicated alterations in the relative abundances of 26 OTUs and 41 metabolites that were specifically relevant to each CKD-patient group. The random forest regression model with only species, metabolites, or its association differentially distinguished the hypertensive, diabetic CKD patients, or enrolled CKD patients without comorbidity from the healthy participants. Gut dysbiosis-altered metabolite association exhibits specific and convincing utility to differentiate CKD associated with distinct pathogenic factor. These results present the validity of pathogenesis-associated markers across healthy participants and high-risk population toward the early screening, prevention, diagnosis, or personalized treatment of CKD.

摘要

越来越多的研究证明,慢性肾脏病(CKD)与肠道微生物群或代谢物谱的结构改变密切相关。然而,目前对于肠道微生物群或代谢物对 CKD 发生或进展的影响及其潜在机制仍缺乏明确的认识。在这项研究中,我们应用液相色谱-质谱联用和长读测序技术,鉴定了糖尿病 CKD 患者(=39)、高血压 CKD 患者(=26)或无合并症 CKD 患者(=40)与健康参与者(=60)相比具有统计学差异的肠道代谢物和微生物组。我们使用零膨胀负二项式(ZINB)回归评估 CKD 相关物种和代谢物之间的关联。使用随机森林回归模型和接收者操作特征(ROC)曲线评估鉴定的操作分类单元(OTUs)、代谢物或物种-代谢物关联对具有不同致病因素的新发慢性肾脏病的诊断预测效能。统计分析结果表明,26 个 OTUs 和 41 个代谢物的相对丰度发生了改变,这些改变与每个 CKD 患者组都有特定的相关性。仅使用物种、代谢物或其关联的随机森林回归模型可以区分高血压、糖尿病 CKD 患者或纳入的无合并症 CKD 患者与健康参与者。肠道菌群失调改变的代谢物关联具有特定和令人信服的区分 CKD 与不同致病因素的作用。这些结果为健康参与者和高危人群中的发病相关标志物提供了有效性,有助于 CKD 的早期筛查、预防、诊断或个体化治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca3d/9927243/917ecb5c2f6d/spectrum.02805-22-f001.jpg

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