Evidence map›Paper›PMID 42004177›Full record

Trial reportVascular health and risk management2026

Taoren Honghua Jian Regulate NLRP3 Inflammasome of Coronary Artery Disease Patients: A Multi-Center, Double-Blind, Randomized Controlled Trial.

Min Du, Xiaoteng Feng, Na Zhang, Meijiao Mao, Leyi Du, Ying Yang, Yifan Zhang, Sijin Li, Jiarou Wang, Xindi Chang and 4 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Vascular health and risk management, 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

14 authors.

Min DuDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Xiaoteng FengDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Na ZhangDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Meijiao MaoDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Leyi DuDepartment of Traditional Chinese Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, People's Republic of China.
Ying YangDepartment of Traditional Chinese Medicine, Shanggang Community Health Service Center of Shanghai Pudong New Area, Shanghai, People's Republic of China.
Yifan ZhangDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Sijin LiDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Jiarou WangDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Xindi ChangDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Jie DingDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Ping LiuDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Yiyi ZhangIntensive Care Unit, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Yiru WangDependent of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.ORCID 0000-0002-2691-8050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This multicenter, double-blind, randomized controlled trial sought to assess the clinical efficacy of Taoren Honghua Jian (THJ) in patients with coronary artery disease (CAD) exhibiting Qi stagnation and blood stasis syndrome, and investigated its effect on NLRP3 inflammasome expression in peripheral blood mononuclear cells (PBMCs). Methods: One hundred and twenty eligible CAD patients from three Shanghai hospitals were randomized to receive either the THJ granule (18.3 g, twice daily) or placebo for four weeks, with a four-week follow-up. Traditional Chinese Medicine Syndrome Score (TCMSS), Seattle Angina Questionnaire (SAQ), and lipid levels were measured before and after treatments. NLRP3 inflammasome components were examined in PBMCs using quantitative PCR, whereas plasma inflammatory cytokines were detected using ELISA. Results: A total of 120 participants participated in the trial. The THJ group showed reduced TCMSS compared to the placebo group ( Conclusion: THJ reduces angina symptoms and improves quality of life in CAD patients, which suggests that it suppresses NLRP3-related transcriptional activity and hence reduces pro-inflammatory cytokine production. These data suggest that THJ might be an effective adjuvant treatment for inflammation-driven coronary atherosclerosis.

Indexed as

Anti-Inflammatory AgentsCoronary Artery DiseaseDrugs, Chinese HerbalInflammasomesLeukocytes, MononuclearNLR Family, Pyrin Domain-Containing 3 ProteinAgedBiomarkersChinaCytokinesDouble-Blind MethodFemaleHumansInflammation MediatorsMaleMiddle AgedAnti-Inflammatory AgentsBiomarkersCytokinesDrugs, Chinese HerbalInflammasomesInflammation MediatorsNLR Family, Pyrin Domain-Containing 3 ProteinNLRP3 protein, humancoronary artery diseaseNLRP3Qi stagnation and blood stasisrandomized controlled trialTaoren Honghua Jian

Identifiers

PMID42004177
PMCPMC13091629

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Registered trials

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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.