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March 18, 2026Gastroenterology Research and Practice0 citationsOpen Access

Diagnostic and Prognostic Biomarkers for Sepsis‐Associated Liver Injury: Current Status and Future Perspectives

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YCYao-zheng CaiZhejiang Chinese Medical UniversityJCJiangtao ChenZhejiang Chinese Medical UniversityLFLe-Xin FangZhejiang Chinese Medical University

Key Points

  • To identify and evaluate biomarkers for early diagnosis and prognosis of sepsis-associated liver injury (SALI).
  • Summarized traditional biomarkers like ALT, AST, and bilirubin.
  • Reviewed novel biomarkers including microRNAs, DEGs, and HMGB1.
  • Discussed each biomarker's limitations in specificity and sensitivity.
  • Identified ALT, AST, and bilirubin as commonly used but nonspecific biomarkers.
  • Highlighted the potential of microRNAs, DEGs, and HMGB1 for improved diagnosis.
  • Noted limitations of novel biomarkers which hinder their clinical application.

Abstract

Sepsis‐associated liver injury (SALI) is a complication of sepsis that carries a notably poor prognosis in the intensive care unit (ICU). So far, there remains no specific consensus regarding the diagnostic criteria for SALI. The quest for biomarkers associated with SALI continues, as they are essential for both early diagnosis and prognostic assessment. Traditionally utilized biomarkers include alanine aminotransferase (ALT), aspartate aminotransferase (AST), and bilirubin; however, their lack of specificity and sensitivity has hindered the accurate diagnosis of SALI and the prediction of subsequent disease progression. Recently, novel biomarkers such as microRNAs, differentially expressed genes (DEGs), and high mobility group protein B1 (HMGB1) have been explored to enhance the early diagnosis and prognostic prediction of SALI. However, each of these biomarkers presents certain limitations. This review is aimed at summarizing the aforementioned biomarkers with the hope that future researchers will identify the most effective markers for diagnosing SALI.

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Cite This Study

Cai et al. (2026) studied this question.

synapsesocial.com/papers/69ba422e4e9516ffd37a227chttps://doi.org/10.1155/grp/8707150
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