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Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 4/2023

30-11-2022 | Septicemia | Research Article

Metabolic fingerprint of patients showing responsiveness to treatment of septic shock in intensive care unit

Authors: Swarnima Pandey, Mohd Adnan Siddiqui, Afzal Azim, Neeraj Sinha

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 4/2023

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Abstract

Objective

An early metabolic signature associated with the responsiveness to treatment can be useful in the better management of septic shock patients. This would help clinicians in designing personalized treatment protocols for patients showing non-responsiveness to treatment.

Methods

We analyzed the serum on Day 1 (n = 60), Day 3 (n = 47), and Day 5 (n = 26) of patients with septic shock under treatment using NMR-based metabolomics. Partial least square discriminant analysis (PLS-DA) was performed to generate the list of metabolites that can be identified as potential disease biomarkers having statistical significance (that is, metabolites that had a VIP score > 1, and p value < 0.05, False discovery rate (FDR) < 0.05).

Results

Common significant metabolites amongst the three time points were obtained that distinguished the patients being responsive (R) and non-responsive (NR) to treatments, namely 3 hydroxybutyrate, lactate, and phenylalanine which were lower, whereas glutamate and choline higher in patients showing responsiveness.

Discussion

The study gave these metabolic signatures identifying patients’ responsiveness to treatment. The results of the study will aid in the development of targeted therapy for ICU patients.
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Literature
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Metadata
Title
Metabolic fingerprint of patients showing responsiveness to treatment of septic shock in intensive care unit
Authors
Swarnima Pandey
Mohd Adnan Siddiqui
Afzal Azim
Neeraj Sinha
Publication date
30-11-2022
Publisher
Springer International Publishing
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 4/2023
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-022-01049-9

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