Metabolomics-based Study of Potential Biomarkers of Sepsis

Overview

Journal Sci Rep

Specialty Science

Date 2023 Jan 11

PMID 36631483

Authors

Yang Li

Chenglin Wang

Muhu Chen

Affiliations

Soon will be listed here.

Abstract

The purpose of our study was to explore potential characteristic biomarkers in patients with sepsis. Peripheral blood specimens from sepsis patients and normal human volunteers were processed by liquid chromatography-mass spectrometry-based analysis. Outlier data were excluded by principal component analysis and orthogonal partial least squares-discriminant analysis using the metabolomics R software package metaX and MetaboAnalyst 5.0 ( https://www.metaboanalyst.ca/home.xhtml ) online analysis software, and differential metabolite counts were identified by using volcano and heatmaps. The obtained differential metabolites were combined with KEGG (Kyoto Gene and Kyoto Encyclopedia) analysis to screen out potential core differential metabolites, and ROC curves were drawn to analyze the changes in serum metabolites in sepsis patients and to explore the potential value of the metabolites in the diagnosis of sepsis patients. By metabolomic analysis, nine differential metabolites were screened for their significance in guiding the diagnosis and differential diagnosis of sepsis namely: 3-phenyl lactic acid, N-phenylacetylglutamine, phenylethylamine, traumatin, xanthine, methyl jasmonate, indole, l-tryptophan and 1107116. In this study, nine metabolites were finally screened based on metabolomic analysis and used as potential characteristic biomarkers for the diagnosis of sepsis.

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References

Pammi M, Flores A, Versalovic J, Leeflang M . Molecular assays for the diagnosis of sepsis in neonates. Cochrane Database Syst Rev. 2017; 2:CD011926. PMC: 6464551. DOI: 10.1002/14651858.CD011926.pub2. View

Tan Y, Gao Y, Teo G, Koh H, Tai E, Khoo C . Plasma Metabolome and Lipidome Associations with Type 2 Diabetes and Diabetic Nephropathy. Metabolites. 2021; 11(4). PMC: 8069978. DOI: 10.3390/metabo11040228. View

Sharma D, Farahbakhsh N, Shastri S, Sharma P . Biomarkers for diagnosis of neonatal sepsis: a literature review. J Matern Fetal Neonatal Med. 2017; 31(12):1646-1659. DOI: 10.1080/14767058.2017.1322060. View

Li C, Li Y, Sui L, Wang J, Li F . Phenyllactic acid promotes cell migration and invasion in cervical cancer via IKK/NF-κB-mediated MMP-9 activation. Cancer Cell Int. 2019; 19:241. PMC: 6757389. DOI: 10.1186/s12935-019-0965-0. View

Vincent J . The Clinical Challenge of Sepsis Identification and Monitoring. PLoS Med. 2016; 13(5):e1002022. PMC: 4871479. DOI: 10.1371/journal.pmed.1002022. View

Prescott H, Angus D . Enhancing Recovery From Sepsis: A Review. JAMA. 2018; 319(1):62-75. PMC: 5839473. DOI: 10.1001/jama.2017.17687. View

Klompas M, Calandra T, Singer M . Antibiotics for Sepsis-Finding the Equilibrium. JAMA. 2018; 320(14):1433-1434. DOI: 10.1001/jama.2018.12179. View

Patti G, Yanes O, Siuzdak G . Innovation: Metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol. 2012; 13(4):263-9. PMC: 3682684. DOI: 10.1038/nrm3314. View

Rello J, van Engelen T, Alp E, Calandra T, Cattoir V, Kern W . Towards precision medicine in sepsis: a position paper from the European Society of Clinical Microbiology and Infectious Diseases. Clin Microbiol Infect. 2018; 24(12):1264-1272. DOI: 10.1016/j.cmi.2018.03.011. View

10.

Knudsen C, Neyrinck A, Leyrolle Q, Baldin P, Leclercq S, Rodriguez J . Hepatoprotective Effects of Indole, a Gut Microbial Metabolite, in Leptin-Deficient Obese Mice. J Nutr. 2021; 151(6):1507-1516. PMC: 8169809. DOI: 10.1093/jn/nxab032. View

11.

Zeitler L, Fiore A, Meyer C, Russier M, Zanella G, Suppmann S . Anti-ferroptotic mechanism of IL4i1-mediated amino acid metabolism. Elife. 2021; 10. PMC: 7946422. DOI: 10.7554/eLife.64806. View

12.

Jaurila H, Koivukangas V, Koskela M, Gaddnas F, Myllymaa S, Kullaa A . H NMR Based Metabolomics in Human Sepsis and Healthy Serum. Metabolites. 2020; 10(2). PMC: 7074315. DOI: 10.3390/metabo10020070. View

13.

Wu F, Chi L, Ru H, Parvez F, Slavkovich V, Eunus M . Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults. Environ Health Perspect. 2018; 126(1):017005. PMC: 6014710. DOI: 10.1289/EHP1992. View

14.

Raveendran A, Kumar A, Gangadharan S . Biomarkers and newer laboratory investigations in the diagnosis of sepsis. J R Coll Physicians Edinb. 2019; 49(3):207-216. DOI: 10.4997/JRCPE.2019.308. View

15.

Kanehisa M, Goto S . KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999; 28(1):27-30. PMC: 102409. DOI: 10.1093/nar/28.1.27. View

16.

Serkova N, Standiford T, Stringer K . The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses. Am J Respir Crit Care Med. 2011; 184(6):647-55. PMC: 3208597. DOI: 10.1164/rccm.201103-0474CI. View

17.

Su L, Li H, Xie A, Liu D, Rao W, Lan L . Dynamic changes in amino acid concentration profiles in patients with sepsis. PLoS One. 2015; 10(4):e0121933. PMC: 4388841. DOI: 10.1371/journal.pone.0121933. View

18.

Guijas C, Montenegro-Burke J, Warth B, Spilker M, Siuzdak G . Metabolomics activity screening for identifying metabolites that modulate phenotype. Nat Biotechnol. 2018; 36(4):316-320. PMC: 5937131. DOI: 10.1038/nbt.4101. View

19.

Jordan J, Durso M . Real-time polymerase chain reaction for detecting bacterial DNA directly from blood of neonates being evaluated for sepsis. J Mol Diagn. 2005; 7(5):575-81. PMC: 1867550. DOI: 10.1016/S1525-1578(10)60590-9. View

20.

Xie Y, Zou X, Han J, Zhang Z, Feng Z, Ouyang Q . Indole-3-propionic acid alleviates ischemic brain injury in a mouse middle cerebral artery occlusion model. Exp Neurol. 2022; 353:114081. DOI: 10.1016/j.expneurol.2022.114081. View