Issue 2, 2021

Serum metabolic profiles of septic shock patients based upon co-morbidities and other underlying conditions

Abstract

Diagnosis and management of patients with septic shock is still a significant challenge for clinicians with its high mortality amongst hospitalized patients. Septic shock is a heterogeneous condition and is usually accompanied by various underlying disease conditions. Dissecting the specific metabolic changes induced by these underlying disease conditions through metabolomics has shown the potential to improve our understanding of the disease's relevant pathophysiological mechanisms, leading to improved treatment. This study has shown the metabolic alterations caused due to co-morbid conditions like diabetes, hypertension, CAD, and CKD in septic shock. It has also shown the distinct metabolic profiles of septic shock patients with underlying respiratory illnesses and encephalopathy. Metabolic profiling of sera obtained from 50 septic shock patients and 20 healthy controls was performed using high-resolution 1D 1H CPMG and diffusion-edited NMR spectra. Univariate and multivariate statistical analyses were performed to identify the potential molecular biomarkers. Noted dysregulations in amino acids, carbohydrates, and lipid metabolism were observed in septic shock patients. Further stratification within the septic shock patients based on co-morbid conditions and primary diagnosis has shown their role in causing metabolic alterations. Evaluation of these compounds during treatment will help design a personalized treatment protocol for the patients, improving therapeutics.

Graphical abstract: Serum metabolic profiles of septic shock patients based upon co-morbidities and other underlying conditions

Supplementary files

Article information

Article type
Research Article
Submitted
05 Dec 2020
Accepted
11 Dec 2020
First published
12 Dec 2020

Mol. Omics, 2021,17, 260-276

Serum metabolic profiles of septic shock patients based upon co-morbidities and other underlying conditions

S. Pandey, Mohd. Adnan Siddiqui, A. Azim, S. K. Trigun and N. Sinha, Mol. Omics, 2021, 17, 260 DOI: 10.1039/D0MO00177E

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