ArticleLife science alliance2021
Serum proteomics reveals disorder of lipoprotein metabolism in sepsis.
Article in Life science alliance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Plasma proteomic profiling of septic shock and acute pancreatitis identifies shared signatures and disease-specific pathways.Scientific reports · 2026Article
- 7-day longitudinal proteomics of critically ill patients: a pilot study.Scientific reports · 2026Observational
- Integrative metabolite-protein interaction networks reveal potential pathways and biomarkers in sepsis.BMC infectious diseases · 2026Article
- Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome.PloS one · 2026Observational
- Plasma pancreatic stone protein is a promising biomarker for prognosis and severity outcome in sepsis patients with COVID-19.Scientific reports · 2025Article
- Plasma proteomics identifies molecular subtypes in sepsis.Critical care (London, England) · 2025Article
- Plasma proteomics in septic shock and alcohol-related pancreatitis: a hyaluronan-centered approach.Clinical proteomics · 2025Article
- Plasma proteomics in pediatric patients with sepsis- hopes and challenges.Clinical proteomics · 2025Review
- Metabolomic and proteomic profiling of a burn-hemorrhagic shock swine model reveals a metabolomic signature associated with fatal outcomes.European journal of medical research · 2025Article
- Orexin-A Attenuates the Inflammatory Response in Sepsis-Associated Encephalopathy by Modulating Oxidative Stress and Inhibiting the ERK/NF-κB Signaling Pathway in Microglia and Astrocytes.CNS neuroscience & therapeutics · 2024Article
- Impact of the triglyceride-glucose index on 28-day mortality in non-diabetic critically Ill patients with sepsis: a retrospective cohort analysis.BMC infectious diseases · 2024Article
- Cuproptosis-Related Biomarkers and Characterization of Immune Infiltration in Sepsis.Journal of inflammation research · 2024Article
- U-shaped association between serum triglyceride levels and mortality among septic patients: An analysis based on the MIMIC-IV database.PloS one · 2023Article
- Sepsis-Induced Brain Dysfunction: Pathogenesis, Diagnosis, and Treatment.Oxidative medicine and cellular longevity · 2022Review
Corrections and comments
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is defined as an organ dysfunction syndrome and it has high mortality worldwide. This study analysed the proteome of serum from patients with sepsis to characterize the pathological mechanism and pathways involved in sepsis. A total of 59 patients with sepsis were enrolled for quantitative proteomic analysis. Weighted gene co-expression network analysis (WGCNA) was performed to construct a co-expression network specific to sepsis. Key regulatory modules that were detected were highly correlated with sepsis patients and related to multiple functional groups, including plasma lipoprotein particle remodeling, inflammatory response, and wound healing. Complement activation was significantly associated with sepsis-associated encephalopathy. Triglyceride/cholesterol homeostasis was found to be related to sepsis-associated acute kidney injury. Twelve hub proteins were identified, which might be predictive biomarkers of sepsis. External validation of the hub proteins showed their significantly differential expression in sepsis patients. This study identified that plasma lipoprotein processes played a crucial role in sepsis patients, that complement activation contributed to sepsis-associated encephalopathy, and that triglyceride/cholesterol homeostasis was associated with sepsis-associated acute kidney injury.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.