Evidence map›Paper›PMID 39949807›Full record

ArticleChinese herbal medicines2025

Sini decoction alleviates inflammation injury after myocardial infarction through regulating arachidonic acid metabolism.

Cuiping Long, Qian Zhou, Min Xu, Xin Ding, Xingxing Zhang, Ya Zhang, Yuping Tang, Guangguo Tan

Abstract read
In one paragraph

Article in Chinese herbal medicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

8 authors.

Cuiping LongSchool of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Qian ZhouDepartment of Traditional Chinese Medicine, Xijing Hospital, Air Force Medical University, Xi'an 710032, China.
Min XuDepartment of Pharmacy, Air Force Medical University, Xi'an 710032, China.
Xin DingDepartment of Pharmacy, Air Force Medical University, Xi'an 710032, China.
Xingxing ZhangSchool of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Ya ZhangDepartment of Pharmacy, Air Force Medical University, Xi'an 710032, China.
Yuping TangSchool of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang 712046, China.
Guangguo TanDepartment of Pharmacy, Air Force Medical University, Xi'an 710032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Myocardial inflammation during myocardial infarction (MI) could be inhibited by regulating arachidonic acid (AA) metabolism. Recent studies demonstrated that Sini Decoction (SND) was identified to be an effective prescription for treating heart failure (HF) caused by MI. But the anti-inflammatory mechanism of SND remained unclear. The work was designed to investigate the anti-inflammatory mechanism of SND through the AA metabolism pathway Methods: An inflammatory injury model of H9c2 cells was established by lipopolysaccharide (LPS)-stimulated macrophage-conditioned medium (CM). The MI model was built by the ligation of left anterior descending (LAD) branch of coronary artery in rat. Meanwhile, the rats were divided into five groups: sham group, MI group, MI + Celecoxib group, MI + low-dose SND group (SND-L) and MI + high-dose SND group (SND-H). Cardiac function, histopathological changes and serum cytokines were examined four weeks later. Western blot analysis was conducted to verify the key enzymes levels in the AA metabolic pathway, including phospholipase A2 (PLA2), cyclooxygenases (COXs) and lipoxygenases (LOXs). Results: These Conclusion: SND may be a drug candidate for anti-inflammatory treatment during MI by regulating the multiple targets in the AA metabolism pathway.

Indexed as

anti-inflammationarachidonic acid metabolism pathwayconditioned mediummyocardial infarctionSini Decoction

Identifiers

PMID39949807
PMCPMC11814262

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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.