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Metabolomics Coupled with Transcriptomics Approach Deciphering Age Relevance in Sepsis
Dingqiao Xu1, Shanting Liao1, Pei Li1
11Jiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China.
Aging and Disease
|August 24, 2019
Summary
Elderly sepsis presents unique diagnostic challenges. This study identifies specific blood metabolites, like lactate and arginine, as key biomarkers for early sepsis detection in older adults.
Area of Science:
- Gerontology
- Molecular Biology
- Biochemistry
Background:
- Sepsis is a life-threatening condition with high mortality in elderly patients.
- Aging impairs immune function, leading to atypical sepsis presentation and diagnostic difficulties.
- Effective treatment and management are hindered by complex pathogenesis in older adults.
Purpose of the Study:
- To investigate the age-specific effects on sepsis pathogenesis and identify biomarkers.
- To explore molecular and metabolic changes associated with sepsis in the elderly population.
- To develop potential diagnostic and therapeutic strategies for elderly sepsis.
Main Methods:
- Transcriptomics (RNA-seq) and metabolomics (NMR, GC-MS) on plasma samples from elderly septic patients and controls.
- Protein-protein interaction (PPI) analysis for data integration.
- Cecal ligation and puncture (CLP) rat model for mechanistic studies, including western blot validation.
Main Results:
- Multi-omics analysis revealed dysregulated pathways in elderly sepsis.
- Specific metabolites (lactate, arginine, histamine, tyrosine, glutamate, glucose) distinguished septic patients from controls.
- Increased arginine, trimethylamine N-oxide, and allantoin were characteristic of sepsis in elderly patients.
Conclusions:
- Comprehensive omics data provide insights into elderly sepsis mechanisms.
- Identified metabolites show promise as sensitive and specific biomarkers for elderly sepsis.
- Further validation is needed for clinical diagnostics and precise treatment strategies.
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