Evidence map›Paper›PMID 42022531›Full record

ArticleFrontiers in cardiovascular medicine2026

Ya Wang, Jinyi Fu, Jingyi Zhan, Yuanbin Liang, Ruofan Chen, Linjing Su, Qingbing Zhou, Ying Zhang, Weihong Cong, Fengqin Xu

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ya Wang *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jinyi Fu *Institute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jingyi ZhanInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yuanbin LiangInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ruofan ChenInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Linjing SuInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qingbing ZhouInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ying ZhangInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Weihong CongCardiovascular Laboratory, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Fengqin XuInstitute of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atherosclerosis (AS) is a central pathological driver underlying most cardiovascular diseases. Gut microbiota and related metabolites participate in regulating atherosclerosis. Methods: Fifty C57BL/6J ApoE Results: Atherosclerotic plaques accumulated in the aorta and aortic sinus after HFD, while statin and high-dose GP alleviated this burden. TC, TG, LDL-C, MCP-1, MCP-3 and IL-2 showed significant increase after HFD, while statin and GP decreased LDL-C, MCP-1 and MCP-3. The goblet cells, ZO-1 and Occludin decreased after HFD, while statin and GP increased them, indicating that the intestinal barrier integrity was improved. Additionally, the composition of gut microbiota was modulated by GP. Some candidate taxa were identified, such as Conclusion: This study suggests that GP is beneficial for alleviating atherosclerosis in HFD-induced ApoE

Indexed as

atherosclerosisgut microbiotametabolitemetagenomicstraditional medicine

Identifiers

PMID42022531
PMCPMC13095641

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.