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Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats.

ABSTRACT: Acute-on-chronic liver failure (ACLF) is clinical syndrome with high mortality rate. This study aimed to perform detailed transcriptomic analysis in liver cirrhosis-based ACLF rats to elucidate ACLF pathogenesis. ACLF was induced by combined porcine serum with D-galactosamine and lipopolysaccharide. Gene expression profile of liver tissues from ACLF rats was generated by transcriptome sequencing to reveal the molecular mechanism. ACLF rats successfully developed with typical characteristics. Total of 2,354/3,576 differentially expressed genes were identified when ACLF was compared to liver cirrhosis and normal control, separately. The functional synergy analysis revealed prominent immune dysregulation at ACLF stage, whereas metabolic disruption was significantly down-regulated. Relative proportions of innate immune-related cells showed significant elevation of monocytes and macrophages, whereas adaptive immune-related cells were reduced. The seven differentially expressed genes underlying the ACLF molecular mechanisms were externally validated, among them THBS1, IL-10, and NR4A3 expressions were confirmed in rats, patient transcriptomics, and liver biopsies, verifying their potential value in the ACLF pathogenesis. This study indicates immune-metabolism disorder in ACLF rats, which may provide clinicians new targets for improving intervention strategies.

SUBMITTER: Hassan HM

PROVIDER: S-EPMC8645333 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats.

Hassan Hozeifa M HM Cai Qun Q Liang Xi X Xin Jiaojiao J Ren Keke K Jiang Jing J Shi Dongyan D Lu Yingyan Y Li Tan T Shang Yuxin Y He Lulu L Chen Xi X Sun Suwan S Li Peng P Guo Beibei B Chen Jiaxian J Yang Hui H Hu Wen W Chen Xin X Li Jun J

Life science alliance 20211201 3

Acute-on-chronic liver failure (ACLF) is clinical syndrome with high mortality rate. This study aimed to perform detailed transcriptomic analysis in liver cirrhosis-based ACLF rats to elucidate ACLF pathogenesis. ACLF was induced by combined porcine serum with D-galactosamine and lipopolysaccharide. Gene expression profile of liver tissues from ACLF rats was generated by transcriptome sequencing to reveal the molecular mechanism. ACLF rats successfully developed with typical characteristics. Tot ...[more]

PMID: 34853163

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Project description:Background & aimsHBV-related acute-on-chronic liver failure (HBV-ACLF) is a complex syndrome associated with high short-term mortality. This study aims to reveal the molecular basis and identify novel HBV-ACLF biomarkers.MethodsSeventy patients with HBV-ACLF and different short-term (28 days) outcomes underwent transcriptome sequencing using peripheral blood mononuclear cells. Candidate biomarkers were confirmed in two external cohorts using ELISA.ResultsCellular composition analysis with peripheral blood mononuclear cell transcriptomics showed that the proportions of monocytes, T cells and natural killer cells were significantly correlated with 28-day mortality. Significant metabolic dysregulation of carbohydrate, energy and amino acid metabolism was observed in ACLF non-survivors. V-set and immunoglobulin domain-containing 4 (VSIG4) was the most robust predictor of patient survival (adjusted p = 1.74 × 10-16; variable importance in the projection = 1.21; AUROC = 0.89) and was significantly correlated with pathways involved in the progression of ACLF, including inflammation, oxidative phosphorylation, tricarboxylic acid cycle and T-cell activation/differentiation. Plasma VSIG4 analysis externally validated its diagnostic value in ACLF (compared with chronic liver disease and healthy groups, AUROC = 0.983). The prognostic performance for 28-/90-day mortality (AUROCs = 0.769/0.767) was comparable to that of three commonly used scores (COSSH-ACLFs, 0.867/0.884; CLIF-C ACLFs, 0.840/0.835; MELD-Na, 0.710/0.737). Plasma VSIG4 level, as an independent predictor, could be used to improve the prognostic performance of clinical scores. Risk stratification based on VSIG4 expression levels (>122 μg/ml) identified patients with ACLF at a high risk of death. The generality of VSIG4 in other etiologies was validated.ConclusionsThis study reveals that immune-metabolism disorder underlies poor ACLF outcomes. VSIG4 may be helpful as a diagnostic and prognostic biomarker in clinical practice.Impact and implicationsAcute-on-chronic liver failure (ACLF) is a lethal clinical syndrome associated with high mortality. We found significant immune cell alterations and metabolic dysregulation that were linked to high mortality in patients with HBV-ACLF based on transcriptomics using peripheral blood mononuclear cells. We identified VSIG4 (V-set and immunoglobulin domain-containing 4) as a diagnostic and prognostic biomarker in ACLF, which could specifically identify patients with ACLF at a high risk of death.

Dataset Information

Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats.

Publications

Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in rats.

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