Evidence map›Paper›PMID 41399695›Full record

ReviewMechanobiology in medicine2025

Mechanobiology of intervertebral disc degeneration: From pathological mechanisms to therapeutic approaches.

Han Qiao, Kai Zhang, Jie Zhao

Abstract readReview
In one paragraph

Review in Mechanobiology in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Proteomic signature of human annulus fibrosus and cartilage endplate: divergent matrisomal architectures reveal complementary roles in intervertebral disc homeostasis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Han QiaoDepartment of Orthopedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kai ZhangDepartment of Orthopedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie ZhaoDepartment of Orthopedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intervertebral disc degeneration (IVDD) is a complex mechanobiological process driven by abnormal mechanical loading, resulting in structural failure, inflammatory activation, and cellular dysfunction. Understanding these mechanobiological interactions offers novel therapeutic targets to interrupt the degenerative cascade and improve clinical outcomes in IVDD treatment. This review summarizes the fundamental characteristics of the mechanobiological microenvironment in IVDD, detailing mechanosensitive spinal components and providing evidence for mechanobiology-based therapies. By enhancing insight into disc degeneration from a mechanobiological perspective, researchers can develop innovative therapeutic strategies to restore a healthy disc microenvironment and spinal stability clinically, offering a promising outlook for patients with IVDD. However, current studies primarily focus on in vitro models and in vivo animal studies, limiting clinical translation. Therefore, effectively translating these research findings into practical clinical treatments remains a notable future challenge.

Indexed as

Biochemical mechanicsDisc microenvironmentIntervertebral disc degeneration diseaseIntervertebral disc space heightMechanobiology

Identifiers

PMID41399695
PMCPMC12702059

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.