Evidence map›Paper›PMID 40486838›Full record

ReviewActa pharmaceutica Sinica. B2025

Post-translational modifications of collagen and its related diseases in metabolic pathways.

Linghong Guo, Weiyi Xiang, Zhaoping Pan, He Gu, Xian Jiang

Abstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Backbone and side chainBiomolecular NMR assignments · 2026
    Article
  2. Review
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  11. Collagen-Based Drug Delivery Agents for Glioblastoma Multiforme Treatment.International journal of molecular sciences · 2025
    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

5 authors.

Linghong GuoDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China.
Weiyi XiangDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China.
Zhaoping PanDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China.
He GuDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China.
Xian JiangDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most abundant and essential structural protein in the human body, collagen is ubiquitously present in the interstitium of nearly all solid organs, playing a crucial role in maintaining the structural integrity and functional stability of human tissues and organs. Disorders associated with collagen structure and metabolisms impose a significant burden on society and healthcare systems. Post-translational modifications (PTMs) are essential steps in collagen metabolism, and recent studies have indicated that aberrant regulation of PTMs plays a pivotal role in the pathogenesis and progress of collagen-related disorders, including liver, kidney, heart, lung, and skin fibrosis, as well as keloid. This review provides a comprehensive summary of the regulatory mechanisms of both traditional and novel PTMs in collagen metabolism and collagen-related diseases. Furthermore, we summarize the drugs that modulate PTMs and their effects, with the aim of elucidating the pathophysiology of collagen-related diseases and provide new insights for their diagnosis, prevention, and treatment.

Indexed as

CollagenCollagen metabolismDiseasesEpigenetic modificationEpigeneticsFibrosisPharmacologyPost-translational modifications

Identifiers

PMID40486838
PMCPMC12138068

What OpenQuestion 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 OpenQuestion graph.