Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Chronic Hepatitis B (CHB) is a leading cause of liver fibrosis and cirrhosis worldwide. The early detection of liver fibrosis remains challenging due to the lack of specific symptoms and noninvasive biomarkers with high sensitivity. The polymeric immunoglobulin receptor (PIGR) has recently emerged as a potential biomarker for liver fibrosis. This study aims to evaluate the utility of PIGR in CHB patients as a biomarker for liver fibrosis. METHODS: This retrospective study analyzed 150 CHB patients from 2018 to 2023. Based on liver biopsy results, 34 patients were classified as having liver fibrosis, while 116 were categorized as non-fibrosis. Clinical data were compared to assess the relationship between PIGR expression levels and serum fibrosis indices. Logistic regression was performed to identify factors influencing liver fibrosis, and the predictive value of PIGR was evaluated using a receiver operating characteristic (ROC) curve. RESULTS: Significant differences were observed in collagen type IV (CIV), procollagen type III N-terminal peptide (PCIIINP), and hyaluronic acid (HA) levels between the fibrosis and non-fibrosis groups (P < 0.05). PIGR levels were significantly higher in the fibrosis group (P < 0.05) and positively correlated with HA, laminin (LN), PCIII, and CIV levels (P < 0.05). Logistic regression identified HA, LN, PCIIINP, and CIV as risk factors, with PIGR being an independent predictor (P < 0.05). At a cutoff value of 0.35, PIGR showed an area under the curve (AUC) of 0.839, with 81.90% sensitivity, 79.41% specificity, and a Youden's index of 0.613. PIGR also provided a higher net benefit than APRI. CONCLUSION: PIGR levels are significantly elevated in CHB-related liver fibrosis and correlate closely with established fibrosis markers. As an independent predictor, PIGR demonstrates high diagnostic accuracy and holds promise as a non-invasive biomarker for detecting liver fibrosis in CHB patients, with significant potential for clinical application.
Source: BMC Gastroenterology
Authors: Shanshan Chu, Yingjun Chen, Yemin Wang
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W4407595503
