Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study
Abstract Acute pancreatitis (AP) is an inflammatory pancreatic disorder associated with significant morbidity. While gut microbiome dysbiosis has been implicated in AP pathogenesis, prior studies have predominantly focused on descriptive compositional changes rather than linking specific microbial s...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11042-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849344987170340864 |
|---|---|
| author | Yuanyuan Gou Long Yao Wenli Yang Qian Chen Yuetao Wen Jie Cao |
| author_facet | Yuanyuan Gou Long Yao Wenli Yang Qian Chen Yuetao Wen Jie Cao |
| author_sort | Yuanyuan Gou |
| collection | DOAJ |
| description | Abstract Acute pancreatitis (AP) is an inflammatory pancreatic disorder associated with significant morbidity. While gut microbiome dysbiosis has been implicated in AP pathogenesis, prior studies have predominantly focused on descriptive compositional changes rather than linking specific microbial signatures to clinical inflammatory markers. This study aims to bridge this gap by identifying gut microbiome biomarkers correlated with systemic inflammation in AP. Fecal samples were collected from 34 patients with AP (diagnosed within 48 h of onset) and 20 age-/gender-matched healthy controls (HC). High-throughput 16S rRNA sequencing analyzed taxonomic profiles, while a random forest algorithm was employed to construct a diagnostic model based on differentially abundant species. Spearman correlation analysis assessed associations between key microbial taxa and inflammatory indicators (e.g., white blood cell count, procalcitonin). Patients with AP exhibited reduced gut microbiome diversity (Shannon index: 4.28 ± 1.02 vs. 4.93 ± 0.99, p = 0.027) and distinct taxonomic shifts, including enrichment of Fusobacterium periodonticum, Fusobacterium mortiferum, and Veillonella parvula (all p < 0.05), alongside depletion of Bacteroides plebeius and Faecalibacterium prausnitzii. A three-species diagnostic model (Veillonella parvula, Bacteroides plebeius, and Fusobacterium periodonticum) achieved an area under the ROC curve (AUC) of 0.94 (95% CI 0.88–1.00), with 88.2% sensitivity and 95.0% specificity. Notably, Veillonella parvula and Fusobacterium periodonticum abundances correlated positively with white blood cell count (r = 0.40, p = 0.018) and procalcitonin (r = 0.41, p = 0.015). Functional prediction revealed elevated microbial pathways linked to cell membrane transport and infectious disease risk in AP. This study confirms compositional and functional gut microbiome alterations in AP, with specific taxa strongly associated with inflammatory biomarkers. The validated three-species model demonstrates potential as a non-invasive diagnostic tool, advancing translational applications of microbiome profiling in AP management. |
| format | Article |
| id | doaj-art-2afeb8fca86b4531b43730043b7d9568 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-2afeb8fca86b4531b43730043b7d95682025-08-20T03:42:33ZengNature PortfolioScientific Reports2045-23222025-07-0115111110.1038/s41598-025-11042-6Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional studyYuanyuan Gou0Long Yao1Wenli Yang2Qian Chen3Yuetao Wen4Jie Cao5Department of Gastroenterology, Chongqing University Jiangjin Hospital/Chongqing Jiangjin District Central HospitalDepartment of Emergency, Chongqing University Jiangjin Hospital/Chongqing Jiangjin District Central HospitalDepartment of Gastroenterology, Chongqing University Jiangjin Hospital/Chongqing Jiangjin District Central HospitalDepartment of Gastroenterology, Chongqing University Jiangjin Hospital/Chongqing Jiangjin District Central HospitalDepartment of Neurosurgery, Chongqing University Jiangjin Hospital/Chongqing Jiangjin District Central HospitalDepartment of Gastroenterology, Bishan Hospital of Chongqing Medical University/Bishan Hospital of ChongqingAbstract Acute pancreatitis (AP) is an inflammatory pancreatic disorder associated with significant morbidity. While gut microbiome dysbiosis has been implicated in AP pathogenesis, prior studies have predominantly focused on descriptive compositional changes rather than linking specific microbial signatures to clinical inflammatory markers. This study aims to bridge this gap by identifying gut microbiome biomarkers correlated with systemic inflammation in AP. Fecal samples were collected from 34 patients with AP (diagnosed within 48 h of onset) and 20 age-/gender-matched healthy controls (HC). High-throughput 16S rRNA sequencing analyzed taxonomic profiles, while a random forest algorithm was employed to construct a diagnostic model based on differentially abundant species. Spearman correlation analysis assessed associations between key microbial taxa and inflammatory indicators (e.g., white blood cell count, procalcitonin). Patients with AP exhibited reduced gut microbiome diversity (Shannon index: 4.28 ± 1.02 vs. 4.93 ± 0.99, p = 0.027) and distinct taxonomic shifts, including enrichment of Fusobacterium periodonticum, Fusobacterium mortiferum, and Veillonella parvula (all p < 0.05), alongside depletion of Bacteroides plebeius and Faecalibacterium prausnitzii. A three-species diagnostic model (Veillonella parvula, Bacteroides plebeius, and Fusobacterium periodonticum) achieved an area under the ROC curve (AUC) of 0.94 (95% CI 0.88–1.00), with 88.2% sensitivity and 95.0% specificity. Notably, Veillonella parvula and Fusobacterium periodonticum abundances correlated positively with white blood cell count (r = 0.40, p = 0.018) and procalcitonin (r = 0.41, p = 0.015). Functional prediction revealed elevated microbial pathways linked to cell membrane transport and infectious disease risk in AP. This study confirms compositional and functional gut microbiome alterations in AP, with specific taxa strongly associated with inflammatory biomarkers. The validated three-species model demonstrates potential as a non-invasive diagnostic tool, advancing translational applications of microbiome profiling in AP management.https://doi.org/10.1038/s41598-025-11042-6Acute pancreatitisGut microbiotaBiomarkerInflammation |
| spellingShingle | Yuanyuan Gou Long Yao Wenli Yang Qian Chen Yuetao Wen Jie Cao Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study Scientific Reports Acute pancreatitis Gut microbiota Biomarker Inflammation |
| title | Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study |
| title_full | Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study |
| title_fullStr | Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study |
| title_full_unstemmed | Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study |
| title_short | Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study |
| title_sort | development of a three species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation a prospective cross sectional study |
| topic | Acute pancreatitis Gut microbiota Biomarker Inflammation |
| url | https://doi.org/10.1038/s41598-025-11042-6 |
| work_keys_str_mv | AT yuanyuangou developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy AT longyao developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy AT wenliyang developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy AT qianchen developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy AT yuetaowen developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy AT jiecao developmentofathreespeciesgutmicrobiomediagnosticmodelforacutepancreatitisanditsassociationwithsystemicinflammationaprospectivecrosssectionalstudy |