Evaluating liver type fatty acid binding protein as a diagnostic and prognostic biomarker in metabolic dysfunction-associated steatotic liver disease in pediatric patients
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), is a common liver disorder, predicted to increase globally. Currently, non-invasive methods are proposed for the assessment of (MASLD). This study aimed to investigate the use of serum Liver Type Fatty Acid Binding Protein (L-FABP) concentration as a diagnostic and prognostic biomarker in pediatric MASLD patients and to evaluate its relationship with steatosis and fibrosis. METHODS: An observational, cross-sectional study on paediatric MASLD patients. Serum levels of L-FABP and hepatic biochemical markers were measured and analyzed. Statistical analyses evaluated the association between L-FABP and other markers, while logistic regression and ROC curves assessed its diagnostic accuracy. RESULTS: Serum L-FABP levels showed a significant difference between the MASLD and control groups (P < 0.0001). The results of logistic regression revealed that each one-unit elevation of L-FABP level was associated with 144.5% higher odds of being MASLD (95% CI: 129.3% - 167.8%). A receiver operating characteristics (ROC) curve was constructed to assess the diagnostic accuracy of L-FABP. The resulted area under the ROC curve (AUC) was 0.885. The cutoff value was 5.7 ng/ mL, with sensitivity of 72.73%, and a specificity of 93.62%. The results also showed that the odds ratio of progressing from stage F2 to F3 increases by 108.9% (95% CI: 87.2% - 141.4%) for each one-unit increase in serum L-FABP level. CONCLUSION: L-FABP shows promise as a non-invasive biomarker for diagnosing and monitoring MASLD in pediatric patients. Its association with disease stages suggests its utility in assessing disease progression, particularly in advanced stages.
Source: PLoS ONE
Authors: Nadia Al Mazrouei, Mostafa Mohsen ElGharbawy, Mahitab Gamal, Shaimaa Emad, Amal Ahmed Mohamed, Osama Mohamed Ibrahim, Asim Ahmed Elnour, Marafi Jammaa Ahmed, Semira Abdi Beshir, Vineetha Menon, Sami Fatehi Abdalla, Ali Awadallah Saeed, Heba Ali ElRamly
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,382
Funder: Gulf Medical University
OpenAlex ID: W4414645725
