Borderline Liver Enzyme Patterns and Their Metabolic–Inflammatory Signatures: An Observational Outpatient Study - Report - MDSpire

Borderline Liver Enzyme Patterns and Their Metabolic–Inflammatory Signatures: An Observational Outpatient Study

  • By

  • Özdemir, Erdoğan

  • Yılmaz, Turgay

  • April 30, 2026

  • 0 min

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Clinical Report: Patterns of Borderline Liver Enzyme Elevations

Overview

This study identifies distinct metabolic and inflammatory profiles associated with borderline liver enzyme elevations in outpatient settings. The findings suggest that these elevations can be stratified into hepatocellular and cholestatic patterns, each with unique clinical implications.

Background

Borderline liver enzyme elevations are commonly observed in outpatient practice but are often overlooked as insignificant. Understanding the underlying metabolic and inflammatory profiles associated with these elevations is crucial for effective patient management. This study aims to clarify whether these borderline elevations represent meaningful subphenotypes that can guide clinical decision-making.

Data Highlights

ParameterHepatocellular PatternCholestatic Pattern
FerritinHigherLower
HbA1cLowerHigher
Transferrin Saturation (TSAT)HigherLower
Systemic Immune-Inflammation Index (SII)LowerHigher

Key Findings

  • 211 out of 800 patients exhibited borderline liver enzyme elevations.
  • 49.8% of borderline cases showed a hepatocellular pattern, while 36.5% showed a cholestatic pattern.
  • The hepatocellular pattern was linked to higher ferritin and lower AST/ALT ratios.
  • The cholestatic pattern was associated with higher HbA1c and systemic immune-inflammation index (SII).
  • Ferritin was identified as an independent correlate for the hepatocellular pattern.
  • HbA1c and SII were independent predictors for the cholestatic pattern.

Clinical Implications

Clinicians should consider a pattern-based approach when evaluating borderline liver enzyme elevations, as this may reveal significant underlying metabolic and inflammatory conditions. Identifying these patterns can aid in risk stratification and guide further diagnostic and therapeutic interventions.

Conclusion

The study underscores the importance of recognizing distinct subphenotypes in patients with borderline liver enzyme elevations. This approach may enhance outpatient management and necessitates further longitudinal validation.

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