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12/25/2025 6:08:49 AM | Browse: 3 | Download: 0
Publication Name World Journal of Orthopedics
Manuscript ID 115770
Country China
Category Orthopedics
Manuscript Type Meta-Analysis
Article Title Machine learning identifies complement factor I as a shared mediator of periodontitis and ossification of posterior longitudinal ligament
Manuscript Source Unsolicited Manuscript
All Author List Yu-Nan Man, Lu-Yang Zhong, Yue-Liang Wen and Mao-Lin He
Funding Agency and Grant Number
Corresponding Author Mao-Lin He, PhD, Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China. hemaolin@stu.gxmu.edu.cn
Key Words Ossification of the posterior longitudinal ligament; Periodontitis; Complement factor I; Discriminatory biomarker; Machine learning; Transcriptome; Single-cell RNA sequencing
Core Tip By integrating transcriptomics with machine learning across two distinct conditions, we identified complement factor I (CFI) as a candidate molecular mediator linking periodontitis and ossification of the posterior longitudinal ligament. This study provides the first computational evidence implicating a potential immune-endothelial axis, mediated by CFI, in the shared pathophysiology of these conditions.
Citation Man YN, Zhong LY, Wen YL, He ML. Machine learning identifies complement factor I as a shared mediator of periodontitis and ossification of posterior longitudinal ligament. World J Orthop 2025; In press
Received
2025-10-27 08:06
Peer-Review Started
2025-10-27 08:06
First Decision by Editorial Office Director
2025-11-21 09:41
Return for Revision
2025-11-21 09:41
Revised
2025-11-29 19:02
Publication Fee Transferred
Second Decision by Editor
2025-12-25 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-25 06:08
Articles in Press
2025-12-25 06:08
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2218-5836 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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