Metabolomic profiling reveals distinct and shared biology in COPD and IPF.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Aldric Rosario, Nicole Prince, Shariq Madha-Krause, Sharon M Lutz, Julian E Hecker, Jeong H Yun, Michael H Cho, Arda Halu, George R Washko, Frank C Sciurba, Lucas Barwick, Andrew H Limper, Kevin R Flaherty, Gerard J Criner, Kevin K Brown, Robert Wise, Fernando J Martinez, Russell P Bowler, Robert E Gerszten, Clary B Clish, Edwin K Silverman, Rachel S Kelly
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引用次数: 0

Abstract

Introduction: Chronic Obstructive Pulmonary disease (COPD) and Idiopathic Pulmonary Fibrosis (IPF) are chronic pulmonary disorders with distinct pathologies but shared risk factors. Metabolomics may provide insights into mechanisms.

Objectives: To identify metabolites associated with COPD and IPF, and to characterize shared and disease-specific signatures.

Methods: Plasma metabolomic profiling was conducted in the Lung Tissue Research Consortium (LTRC). Logistic regression identified metabolites associated with COPD and IPF, and results were replicated in an external cohort, COPDGene. We applied Weighted Gene Co-expression Network Analysis (WGCNA) to explore disease-associated metabolite modules. We further evaluated relationships between significant metabolites and risk genes of interest.

Results: Of 1131 metabolites in LTRC, 246 (21.8%) differed between COPD and controls, and 136 (12.0%) between IPF and controls (FDR < 0.05). Among 80 shared significant metabolites in COPD and IPF, 77 showed concordant directions of effect. Shared metabolomic changes included reduced levels of steroids, triglycerides, diglycerides, phosphatidylcholines, and increased levels of carnitines. In contrast, polyunsaturated fatty acids, nicotine, and thyroxine metabolites differed between COPD and IPF; these findings were further explored by the WGCNA. External replication was performed for 120 metabolites measured in both cohorts, of which 49 (40.8%) replicated in COPD vs. control. In exploratory analyses leveraging quantitative imaging abnormalities (QIA) as a surrogate for IPF; only 4 (3.3%) metabolites replicated in the QIA vs. control model, and only 9 (7.5%) for COPD vs. QIA.

Conclusion: Alterations in metabolomic profiles of COPD and IPF suggested shared dysregulation of several lipids. However, some metabolites pointed to disease-specific differences.

代谢组学分析揭示了COPD和IPF的不同和共同的生物学。
慢性阻塞性肺疾病(COPD)和特发性肺纤维化(IPF)是具有不同病理但具有共同危险因素的慢性肺部疾病。代谢组学可能提供有关机制的见解。目的:确定与COPD和IPF相关的代谢物,并表征共享和疾病特异性特征。方法:在肺组织研究联盟(LTRC)进行血浆代谢组学分析。Logistic回归确定了与COPD和IPF相关的代谢物,结果在外部队列COPDGene中得到了重复。我们应用加权基因共表达网络分析(WGCNA)来探索疾病相关的代谢物模块。我们进一步评估了重要代谢物与感兴趣的风险基因之间的关系。结果:在LTRC的1131个代谢物中,246个(21.8%)在COPD和对照组之间存在差异,136个(12.0%)在IPF和对照组之间存在差异(FDR)。结论:COPD和IPF代谢组学谱的改变表明几种脂质共同失调。然而,一些代谢物指出了疾病特异性的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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