| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Basic Study |
| Article Title |
Single-cell and bulk transcriptomics with machine learning decode B cell hub genes and diagnostic biomarkers in anal fistula
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ting-Ting Li, Jia-Nan Li, Han-Wen Yang, Xin-Yu Dou, Li Jiang, Li-Xia Lai, Qiang Yu, Xiao-Yu Chen, Yue Wang, Xue-Cheng Zhang, Huang-Fu Ma and Xin-Bo Song |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Elite Medical Professionals Initiative of the China-Japan Friendship Hospital |
ZRJY2025-QM11 |
| National High Level Hospital Clinical Research Funding |
2023-NHLHCRF-YYPPLC-ZR-03 |
| National High Level Hospital Clinical Research Funding |
2025-NHLHCRF-DLYJ-PY-08 |
|
| Corresponding Author |
Jia-Nan Li, Department of Proctology, China-Japan Friendship Hospital, No. 2 Yingyuan Garden East Street, Chaoyang District, Beijing 100029, China. wuqu3@163.com |
| Key Words |
Anal fistula; Single-cell RNA sequencing; Bulk RNA sequencing; Machine learning; Immune microenvironment |
| Core Tip |
This study is the first to combine single-cell RNA sequencing (RNA-seq) with bulk RNA-seq and machine learning to systematically characterize B-cell-associated immune networks in anal fistula (AF). Three hub genes, LINC-PINT, LRBA, and SYK, were identified as central signaling nodes linking inflammatory amplification, angiogenesis, and fibrosis within the AF microenvironment. A predictive model incorporating these genes achieved robust diagnostic accuracy, offering promising biomarker candidates for precision diagnosis and targeted therapeutic intervention in AF. |
| Publish Date |
2026-09-07 02:26 |
| Citation |
Li TT, Li JN, Yang HW, Dou XY, Jiang L, Lai LX, Yu Q, Chen XY, Wang Y, Zhang XC, Ma HF, Song XB. Single-cell and bulk transcriptomics with machine learning decode B cell hub genes and diagnostic biomarkers in anal fistula. World J Gastroenterol 2026; 32(38): 121425
|
| URL |
https://www.wjgnet.com/1007-9327/full/v32/i38/121425.htm |
| DOI |
https://doi.org/10.3748/wjg.121425 |
