Evidence mapPaperPMID 37547579Full record

ArticleWorld journal of diabetes2023

Network-pharmacology-based research on protective effects and underlying mechanism of Shuxin decoction against myocardial ischemia/reperfusion injury with diabetes.

Ling Yang, Yang Jian, Zai-Yuan Zhang, Bao-Wen Qi, Yu-Bo Li, Pan Long, Yao Yang, Xue Wang, Shuo Huang, Jing Huang and 5 more

Abstract read
In one paragraph

Article in World journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

15 authors.

Ling YangSchool of Clinical Medicine, Chengdu University of TCM, Chengdu 610072, Sichuan Province, China.
Yang JianDepartment of Clinical Pharmacy, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Zai-Yuan ZhangCollege of Medicine, Southwest Jiaotong University, Chengdu 610031, Sichuan Province, China.
Bao-Wen QiSouth China Hospital of Shenzhen University, Shenzhen 518116, Guangdong Province, China.
Yu-Bo LiSchool of Clinical Medicine, Chengdu University of TCM, Chengdu 610072, Sichuan Province, China.
Pan LongDepartment of Ophthalmology, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Yao YangDepartment of Pharmacy, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Xue WangSchool of Clinical Medicine, Chengdu University of TCM, Chengdu 610072, Sichuan Province, China.
Shuo HuangSchool of Clinical Medicine, Chengdu University of TCM, Chengdu 610072, Sichuan Province, China.
Jing HuangCollege of Medicine, Southwest Jiaotong University, Chengdu 610031, Sichuan Province, China.
Long-Fu ZhouDepartment of Biomedical Engineering, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Jie MaDepartment of Pharmacy, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Chang-Qing JiangDepartment of Pharmacy, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China.
Yong-He HuSchool of Clinical Medicine, Chengdu University of TCM, Chengdu 610072, Sichuan Province, China.
Wen-Jing XiaoDepartment of Pharmacy, The General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China. xwj-4321@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with diabetes mellitus are at higher risk of myocardial ischemia/ reperfusion injury (MI/RI). Shuxin decoction (SXT) is a proven recipe modi-fication from the classic herbal formula "Wu-tou-chi-shi-zhi-wan" according to the traditional Chinese medicine theory. It has been successfully used to alleviate secondary MI/RI in patients with diabetes mellitus in the clinical setting. However, the underlying mechanism is still unclear.

aimTo further determine the mechanism of SXT in attenuating MI/RI associated with diabetes.

methodsThis paper presents an ensemble model combining network pharmacology and biology. The Traditional Chinese Medicine System Pharmacology Database was accessed to select key components and potential targets of the SXT. In parallel, therapeutic targets associated with MI/RI in patients with diabetes were screened from various databases including Gene Expression Omnibus, DisGeNet, Genecards, Drugbank, OMIM, and PharmGKB. The potential targets of SXT and the therapeutic targets related to MI/RI in patients with diabetes were intersected and subjected to bioinformatics analysis using the Database for Annotation, Visualization and Integrated Discovery. The major results of bioinformatics analysis were subsequently validated by animal experiments.

resultsAccording to the hypothesis derived from bioinformatics analysis, SXT could possibly ameliorate lipid metabolism disorders and exert anti-apoptotic effects in MI/RI associated with diabetes by reducing oxidized low density lipoprotein (LDL) and inhibiting the advanced glycation end products (AGE)-receptor for AGE (RAGE) signaling pathway. Subsequent animal experiments confirmed the hypothesis. The treatment with a dose of SXT (2.8 g/kg/d) resulted in a reduction in oxidized LDL, AGEs, and RAGE, and regulated the level of blood lipids. Besides, the expression of apoptosis-related proteins such as Bax and cleaved caspase 3 was down-regulated, whereas Bcl-2 expression was up-regulated. The findings indicated that SXT could inhibit myocardial apoptosis and improve cardiac function in MI/RI in diabetic rats.

conclusionThis study indicated the active components and underlying molecular therapeutic mechanisms of SXT in MI/RI with diabetes. Moreover, animal experiments verified that SXT could regulate the level of blood lipids, alleviate cardiomyocyte apoptosis, and improve cardiac function through the AGE-RAGE signaling pathway.

Indexed as

Chinese herbal drugsDiabetesMyocardial reperfusion injuryNetwork-pharmacologyShuxin decoction

Identifiers

PMID37547579
PMCPMC10401449

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.