Psoas Muscle Index, Systemic Inflammation, and Liver Fibrosis in MAFLD: A Case-Control Study

Lijuan Yu1, Nan Jiang2, Huichun Wu3

  • 1Department of General Practice, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People's Republic of China.

Abstract

Insights

The psoas muscle index (PMI) shows promise as a biomarker for metabolic dysfunction-associated fatty liver disease (MAFLD) and liver fibrosis. Combining PMI with inflammatory markers enhances non-invasive screening for MAFLD and fibrosis.

Area of Science:

  • Hepatology
  • Metabolic Syndrome
  • Biomarker Discovery

Background:

  • Metabolic dysfunction-associated fatty liver disease (MAFLD) is a growing health concern.
  • Identifying reliable biomarkers for MAFLD and its progression, such as hepatic fibrosis, is crucial.
  • The role of muscle mass and metabolism in liver disease is increasingly recognized.

Purpose of the Study:

  • To investigate the psoas muscle index (PMI) as a potential biomarker for MAFLD.
  • To assess the correlation between PMI and systemic inflammatory markers in MAFLD patients.
  • To evaluate the diagnostic performance of PMI for MAFLD and hepatic fibrosis.

Main Methods:

  • A case-control study included 80 MAFLD patients and 80 healthy controls.
  • Abdominal CT scans were used to calculate PMI.
  • Inflammatory markers (PLR, NLR, SII), FIB-4 scores, and ROC/logistic regression analyses were performed.

Main Results:

  • MAFLD patients exhibited higher PMI and inflammatory indicators compared to controls.
  • PMI significantly correlated with systemic inflammation markers (PLR, NLR, SII) and FIB-4 scores.
  • PMI demonstrated diagnostic potential for MAFLD and hepatic fibrosis, particularly when combined with inflammatory markers.

Conclusions:

  • PMI is a significant biomarker correlating with systemic inflammation and hepatic fibrosis in MAFLD.
  • Combining PMI with inflammatory markers improves non-invasive screening for MAFLD and fibrosis.
  • This study highlights the potential of muscle metabolism in MAFLD diagnosis and management.