Evidence map›Paper›PMID 42261450›Full record

ArticleDrug design, development and therapy2026

Hongqin Wang, Mengkai Lu, Yuan Li, Lei Zhang, Jiaqi Hao, Yuanlong Hu, Zhiyuan Zhang, Yunlun Li, Chao Li

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hongqin WangPost-Doctorate Mobile Station, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0000-0001-7984-3550
Mengkai LuInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0009-0007-6725-2842
Yuan LiInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Lei ZhangDepartment of Cardiovascular, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, People's Republic of China.
Jiaqi HaoInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Yuanlong HuInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0000-0003-1933-7570
Zhiyuan ZhangInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0009-0002-2403-5665
Yunlun LiInnovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.
Chao LiCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, People's Republic of China.ORCID 0000-0003-1568-9704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to elucidate the molecular mechanism underlying the therapeutic effect of AS-IV in combination with Tan IIA in ameliorating cardiac fibrosis by inhibiting excessive collagen cross-linking following myocardial infarction (MI). Methods: MI model mice were administered AS-IV and Tan IIA for a duration of four weeks. After the treatment was completed, serum and cardiac specimens were collected from the mice to assess cardiac collagen fiber deposition, collagen cross-linking, cardiac function, copper homeostasis, lysyl oxidase (LOX) content, and the expression of related molecules. Meanwhile, utilizing an in vitro model of myofibroblasts and employing CTR1 overexpression or siRNA-mediated CTR1 silencing and recombinant LOX, we systematically investigated the effects of AS-IV and Tan IIA on key phenotypic features in myofibroblasts, including cross-linking and copper levels. Results: Our results demonstrate that AS-IV and Tan IIA significantly inhibited excessive collagen cross-linking in infarcted hearts, reduced cardiac collagen deposition, and consequently attenuated adverse cardiac remodeling while preserving cardiac function. Mechanistically, AS-IV and Tan IIA suppress intracellular copper accumulation by downregulating the CTR1/ATOX1 axis in the copper transport pathway within myofibroblasts. This downregulation subsequently reduces both the expression and enzymatic activity of LOX, a copper-dependent enzyme, thereby inhibiting excessive collagen cross-linking in these cells. Moreover, AS-IV and Tan IIA demonstrate potential in restoring abnormal copper homeostasis after myocardial infarction and modulating copper distribution within myofibroblasts. Conclusion: AS-IV and Tan IIA attenuate collagen cross-linking in myofibroblasts by downregulating the CTR1/ATOX1/LOX axis, thereby reducing aberrant collagen cross-linking and deposition in the infarcted heart and ultimately inhibiting cardiac fibrosis.

Indexed as

AbietanesCollagenMyocardial InfarctionMyofibroblastsSaponinsAnimalsCation Transport ProteinsCells, CulturedCopper Transporter 1Disease Models, AnimalExtracellular Matrix ProteinsFibrosisMaleMiceMice, Inbred C57BLProtein-Lysine 6-OxidaseAbietanesCation Transport ProteinsCollagenCopper Transporter 1Extracellular Matrix ProteinsLox protein, mouseProtein-Lysine 6-OxidaseSaponinstanshinonecopper ion transportcross-linkinglysyl oxidasemyocardial fibrosis

Identifiers

PMID42261450
PMCPMC13242781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.