Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment
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) ha...
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BMC
2025-02-01
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| Series: | BMC Gastroenterology |
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| Online Access: | https://doi.org/10.1186/s12876-025-03672-x |
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| author | Shanshan Chu Yingjun Chen Yemin Wang |
| author_facet | Shanshan Chu Yingjun Chen Yemin Wang |
| author_sort | Shanshan Chu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aa228a23f6fc453ea4549aa32b95f806 |
| institution | OA Journals |
| issn | 1471-230X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Gastroenterology |
| spelling | doaj-art-aa228a23f6fc453ea4549aa32b95f8062025-08-20T02:13:06ZengBMCBMC Gastroenterology1471-230X2025-02-0125111010.1186/s12876-025-03672-xEnhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessmentShanshan Chu0Yingjun Chen1Yemin Wang2Department of Infectious Diseases, People’s Hospital of Tiantai CountyDepartment of Infectious Diseases, People’s Hospital of Tiantai CountyDepartment of Infectious Diseases, Traditional Chinese Medical Hospital of Tiantai CountyAbstract 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.https://doi.org/10.1186/s12876-025-03672-xPIGRChronic hepatitis BFibrosis |
| spellingShingle | Shanshan Chu Yingjun Chen Yemin Wang Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment BMC Gastroenterology PIGR Chronic hepatitis B Fibrosis |
| title | Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment |
| title_full | Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment |
| title_fullStr | Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment |
| title_full_unstemmed | Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment |
| title_short | Enhancing liver fibrosis detection: a novel PIGR-utilizing approach in chronic hepatitis B injury assessment |
| title_sort | enhancing liver fibrosis detection a novel pigr utilizing approach in chronic hepatitis b injury assessment |
| topic | PIGR Chronic hepatitis B Fibrosis |
| url | https://doi.org/10.1186/s12876-025-03672-x |
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