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基于纵向 NMR 的血清代谢组学追踪脓毒性休克潜在的血清生物标志物。

Longitudinal NMR Based Serum Metabolomics to Track the Potential Serum Biomarkers of Septic Shock.

机构信息

Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow, 226014, India.

Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow - 226014, India.

出版信息

Nanotheranostics. 2023 Jan 1;7(2):142-151. doi: 10.7150/ntno.79394. eCollection 2023.

DOI:10.7150/ntno.79394
PMID:36793353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9925348/
Abstract

Septic shock, with a prolonged hospital stay, has the highest mortality rate worldwide. There is a need for better management of the disease, which requires time-dependent analysis of alteration occurring in the disease condition and subsequent planning of treatment strategies to curb mortality. The study aims to identify early metabolic signatures associated with septic shock before treatment and post-treatment. It also entails the progression of patients towards recovery, which clinicians could use to analyze treatment efficacy. The study was performed on 157 serum samples of patients with septic shock. We performed metabolomic, univariate, and multivariate statistics to identify the significant metabolite signature of patients prior to treatment and during treatment by collecting serum samples on the day I, day III, and day V of treatment. We identified metabotypes of patients before treatment and post-treatment. The study showed time-dependent metabolite alteration in ketone bodies, amino acids, choline, and NAG in patients undergoing treatment. This study illustrates the metabolite's journey in septic shock and during treatment, which may be of prospective assistance to clinicians to monitor therapeutics.

摘要

脓毒性休克患者的住院时间较长,其全球死亡率最高。需要更好地管理这种疾病,这需要对疾病状况中发生的变化进行时间依赖性分析,并随后规划治疗策略以降低死亡率。本研究旨在确定治疗前和治疗后与脓毒性休克相关的早期代谢特征。它还需要患者向恢复方向的进展,临床医生可以使用这些进展来分析治疗效果。该研究共纳入了 157 例脓毒性休克患者的血清样本。我们进行了代谢组学、单变量和多变量统计学分析,以确定在治疗开始第 1 天、第 3 天和第 5 天收集血清样本时治疗前和治疗期间患者的显著代谢特征标志物。我们确定了治疗前后患者的代谢类型。该研究表明,在接受治疗的患者中,酮体、氨基酸、胆碱和 NAG 的代谢物随时间发生了变化。本研究说明了脓毒性休克和治疗过程中代谢物的变化过程,这可能有助于临床医生监测治疗效果。

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Front Public Health. 2022 Aug 4;10:923170. doi: 10.3389/fpubh.2022.923170. eCollection 2022.
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Identifying potential biomarkers and therapeutic targets for dogs with sepsis using metabolomics and lipidomics analyses.利用代谢组学和脂质组学分析鉴定脓毒症犬的潜在生物标志物和治疗靶点。
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Metabolomics in pediatric lower respiratory tract infections and sepsis: a literature review.
代谢组学用于子宫内膜异位症生物标志物的鉴定。
Arch Gynecol Obstet. 2024 Dec;310(6):2823-2827. doi: 10.1007/s00404-024-07796-5. Epub 2024 Nov 4.
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Sepsis, Management & Advances in Metabolomics.脓毒症:代谢组学的管理与进展。
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Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response.脓毒症中的患者分层:利用代谢组学检测临床表型、亚表型及治疗反应
Metabolites. 2022 Apr 21;12(5):376. doi: 10.3390/metabo12050376.
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Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis.代谢组学和蛋白质组学的综合分析揭示了脓毒症中氨基酸代谢紊乱。
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Exploring plasma metabolomic changes in sepsis: a clinical matching study based on gas chromatography-mass spectrometry.探索脓毒症患者血浆代谢组学变化:一项基于气相色谱 - 质谱联用技术的临床匹配研究
Ann Transl Med. 2020 Dec;8(23):1568. doi: 10.21037/atm-20-3562.
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