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Proteomics identifies complement protein signatures in patients with alcohol-associated hepatitis.
- Source :
-
JCI insight [JCI Insight] 2024 Apr 04; Vol. 9 (9). Date of Electronic Publication: 2024 Apr 04. - Publication Year :
- 2024
-
Abstract
- Diagnostic challenges continue to impede development of effective therapies for successful management of alcohol-associated hepatitis (AH), creating an unmet need to identify noninvasive biomarkers for AH. In murine models, complement contributes to ethanol-induced liver injury. Therefore, we hypothesized that complement proteins could be rational diagnostic/prognostic biomarkers in AH. Here, we performed a comparative analysis of data derived from human hepatic and serum proteome to identify and characterize complement protein signatures in severe AH (sAH). The quantity of multiple complement proteins was perturbed in liver and serum proteome of patients with sAH. Multiple complement proteins differentiated patients with sAH from those with alcohol cirrhosis (AC) or alcohol use disorder (AUD) and healthy controls (HCs). Serum collectin 11 and C1q binding protein were strongly associated with sAH and exhibited good discriminatory performance among patients with sAH, AC, or AUD and HCs. Furthermore, complement component receptor 1-like protein was negatively associated with pro-inflammatory cytokines. Additionally, lower serum MBL associated serine protease 1 and coagulation factor II independently predicted 90-day mortality. In summary, meta-analysis of proteomic profiles from liver and circulation revealed complement protein signatures of sAH, highlighting a complex perturbation of complement and identifying potential diagnostic and prognostic biomarkers for patients with sAH.
- Subjects :
- Humans
Male
Female
Middle Aged
Adult
Liver metabolism
Liver pathology
Alcoholism blood
Alcoholism complications
Proteome metabolism
Prognosis
Aged
Hepatitis, Alcoholic blood
Hepatitis, Alcoholic mortality
Hepatitis, Alcoholic diagnosis
Proteomics methods
Complement System Proteins metabolism
Biomarkers blood
Subjects
Details
- Language :
- English
- ISSN :
- 2379-3708
- Volume :
- 9
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- JCI insight
- Publication Type :
- Academic Journal
- Accession number :
- 38573776
- Full Text :
- https://doi.org/10.1172/jci.insight.174127