Evidence map›Paper›PMID 40873435›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Anti-inflammatory therapy for tendinopathy using

Yuan Zhang, Xu Li, Hao Li, Ruiyang Zhang, Ti Zhang, Talante Juma, Yongfei Zhou, Quanyi Guo, Hui Zhao, Yongping Cao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yuan Zhang *Department of Orthopedics, Peking University First Hospital, Beijing, China.
Xu Li *National Center for Orthopaedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Hao LiBeijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, Institute of Orthopedics, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Ruiyang ZhangBeijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, Institute of Orthopedics, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Ti ZhangDepartment of Orthopedics, Peking University Third Hospital, Beijing, China.
Talante JumaDepartment of Orthopedics, Peking University First Hospital, Beijing, China.
Yongfei ZhouInstitute of Hemu Biotechnology, Beijing Hemu Biotechnology Co., Ltd., Beijing, China.
Quanyi GuoBeijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, Institute of Orthopedics, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Hui ZhaoKey Laboratory for Regenerative Medicine of the Ministry of Education of China, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Yongping CaoDepartment of Orthopedics, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendinopathy treatment is hindered by persistent inflammation and irreversible matrix degradation, with current therapies offering transient symptom relief without addressing disease progression. Here, we developed an mRNA-based anti-inflammatory strategy utilizing SM102 lipid nanoparticles (LNPs) to deliver interleukin-1 receptor antagonist (

Indexed as

anti-inflammatory therapyinterleukin-1 receptor antagonistmRNA therapySM102 lipid nanoparticlestendinopathy

Identifiers

PMID40873435
PMCPMC12378938

What OpenQuestion holds

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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 OpenQuestion graph.