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PERSPECTIVE article

Front. Vet. Sci.

Sec. Veterinary Clinical, Anatomical, and Comparative Pathology

This article is part of the Research TopicInnovative Approaches in Veterinary Pathology: Diagnostics, Therapeutics, and Zoonotic Threats - volume IIView all articles

Ligamentum Flavum Hypertrophy Animal Models: Methodological Trade-offs and Future Directions

Provisionally accepted
Long  ChenLong Chen1Wanxia  ZhangWanxia Zhang2*Yu  ZhangYu Zhang3*Qin  GongQin Gong1*
  • 1Foshan Hospital of Traditional Chinese Medicine, Foshan, China
  • 2The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China
  • 3Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou, China

The final, formatted version of the article will be published soon.

Ligamentum flavum hypertrophy (LFH) is a key pathological factor in lumbar spinal stenosis (LSS), characterized by abnormal collagen deposition, reduced elastin fibers, and degenerative changes such as calcification. LFH compresses the spinal cord and nerve roots, causing symptoms like low back pain, numbness, and intermittent claudication, and can lead to central spinal stenosis, significantly affecting quality of life. The pathophysiology of LFH involves extracellular matrix remodeling, inflammatory mediator release, and biomechanical stress, contributing to spinal canal narrowing and nerve root compression. Despite known risk factors like age, obesity, and mechanical load, the exact mechanisms remain unclear. Reliable animal models are essential for understanding LFH and developing therapeutic strategies. This paper compares four major LFH animal models—surgical, biomechanical, chemical induction, and hybrid models—evaluating their clinical relevance, technical feasibility, cost-effectiveness, and limitations. It also discusses recommendations for improving these models to enhance preclinical and clinical application.

Keywords: Ligamentum flavum hypertrophy, Animal Models, surgical modeling, Mechanical Stress, collagen deposition

Received: 11 Sep 2025; Accepted: 06 Nov 2025.

Copyright: © 2025 Chen, Zhang, Zhang and Gong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Wanxia Zhang, zwx18789068092@163.com
Yu Zhang, hpgsek@163.com
Qin Gong, gongqinfzyttk@163.com

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