Evidence map›Paper›PMID 36517846›Full record

ArticleProteome science2022

TMT-based quantitative proteomics analysis of the effects of Jiawei Danshen decoction myocardial ischemia-reperfusion injury.

Xiang-Mei Zhu, Yang Tan, Yu-He Shi, Qing Li, Jue Zhu, Xiang-Dan Liu, Qiao-Zhen Tong

Open access · goldAbstract read
In one paragraph

Article in Proteome science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Salvia miltiorrhiza: insights on the protective effect and mechanism of myocardial ischemia-reperfusion injury.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 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

7 authors at 1 institution in 1 country.

Xiang-Mei ZhuPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Yang TanPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Yu-He ShiPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Qing LiPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Jue ZhuPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Xiang-Dan LiuPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China.
Qiao-Zhen TongPharmacy of College, Hunan University of Chinese Medicine, Xueshi Road, Number 300, Changsha, Hunan 410208, People's Republic of China. qztong88@126.com.
Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvery year, approximately 17 million people worldwide die due to coronary heart disease, with China ranking second in terms of the death toll. Myocardial ischemia-reperfusion injury (MIRI) significantly influences cardiac function and prognosis in cardiac surgery patients. Jiawei Danshen Decoction (JWDSD) is a traditional Chinese herbal prescription that has been used clinically for many years in China to treat MIRI. The underlying molecular mechanisms, however, remain unknown. To investigate the proteomic changes in myocardial tissue of rats given JWDSD for MIRI therapy-based proteomics.

methodsMIRI rat model was created by ligating/releasing the left anterior descending coronary artery. For seven days, the drugs were administered twice daily. The model was created following the last drug administration. JWDSD's efficacy in improving MIRI was evaluated using biochemical markers and cardiac histology. Tandem mass tag-based quantitative proteomics (TMT) technology was also used to detect proteins in the extracted heart tissue. To analyze differentially expressed proteins (DEPs), bioinformatics analysis, including gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathways, were employed. Furthermore, western blotting confirmed the potential targets regulated by JWDSD.

resultsThe histopathologic characteristics and biochemical data showed JWDSD's protective effects on MIRI rats. A total of 4549 proteins were identified with FDR (false discovery rate) ≤1%. Twenty overlapping were identified (162 DEPs and 45 DEPs in Model/Control or JWDSD/Model group, respectively). Of these DEPs, 16 were regulated by JWDSD. GO analysis provided a summary of the deregulated protein expression in the categories of biological process (BP), cell component (CC), and molecular function (MF). KEGG enrichment analysis revealed that the signaling pathways of neutrophil extracellular trap formation, RNA polymerase, serotonergic synapse, and linoleic acid metabolism are all closely related to JWDSD effects in MIRI rats. Furthermore, T-cell lymphoma invasion and metastasis 1 (TIAM1) was validated using western blotting, and the results were consistent with proteomics data.

conclusionsOur study suggests that JWDSD may exert therapeutic effects through multi-pathways regulation in MIRI treatment. This work may provide proteomics clues for continuing research on JWDSD in treating MIRI.

Indexed as

Jiawei Danshen decoction (JWDSD)Myocardial ischemia-reperfusion injury (MIRI)ProteomicTandem mass tag (TMT)Traditional Chinese medicine (TCM)

Identifiers

PMID36517846
PMCPMC9749149
OpenAlexW4311496668

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.