Ex Vivo T Cell Cytokine Expression Predicts Survival in Patients with Severe Alcoholic Hepatitis.
Ashwin D DhandaEuan YatesLauren P Schewitz-BowersPhilippa J P LaitRichard W J LeeMatthew E CrampPublished in: Gut and liver (2021)
Alcoholic hepatitis (AH) is an acute inflammatory liver condition with high early mortality rate. Steroids improve short-term survival but nonresponders have the worst outcomes. There is a clinical need to identify these high-risk individuals at the time of presentation. T cells are implicated in AH and steroid responsiveness. We measured ;ex vivo T cell cytokine expression as a candidate biomarker of outcomes in patients with AH. Consecutive patients (bilirubin >80 μmol/L and ratio of aspartate aminotransferase to alanine aminotransferase >1.5 who were heavy alcohol consumers with discriminant function [DF] ≥32), were recruited from University Hospitals Plymouth NHS Trust. T cells were obtained and stimulated ;ex vivo. Cytokine expression levels were determined by flow cytometry and protein multiplex analysis. Twenty-three patients were recruited (10 male; median age 51 years; baseline DF 67; 30% 90-day mortality). Compared to T cells from nonsurvivors at day 90, T cells from survivors had higher baseline baseline intracellular interleukin (IL)-10:IL-17A ratio (0.43 vs 1.20, p=0.02). Multiplex protein analysis identified interferon γ (IFNγ) and tumor necrosis factor-α (TNF-α) as independent predictors of 90-day mortality (p=0.04, p=0.01, respectively). The ratio of IFNγ to TNF-α was predictive of 90-day mortality (1.4 vs 0.2, p=0.03). These data demonstrate the potential utility of T cell cytokine release assays performed on pretreatment blood samples as biomarkers of survival in patients with severe AH. Our key findings were that intracellular IL-10:IL-17A and IFNγ:TNF-α in culture supernatants were predictors of 90-day mortality. This offers the promise of developing T cell-based diagnostic tools for risk stratification.
Keyphrases
- cardiovascular events
- end stage renal disease
- rheumatoid arthritis
- poor prognosis
- risk factors
- newly diagnosed
- ejection fraction
- chronic kidney disease
- dendritic cells
- immune response
- flow cytometry
- peritoneal dialysis
- oxidative stress
- risk assessment
- healthcare
- liver injury
- high throughput
- prognostic factors
- insulin resistance
- drug induced
- cardiovascular disease
- type diabetes
- big data
- reactive oxygen species
- free survival
- case report
- respiratory failure
- patient reported outcomes
- artificial intelligence
- coronary artery disease
- patient reported
- extracorporeal membrane oxygenation
- social media
- deep learning
- mechanical ventilation
- hepatitis b virus
- electronic health record