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PXD019296

PXD019296 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleQuantitative proteomics uncovers the regulation of energy metabolism by Shexiang Baoxin Pill in myocardial infarction model rats
DescriptionEthnopharmacological relevance: Shexiang Baoxin Pill (SBP) is a traditional formulation of a Chinese patent medicine, which has been commonly used for the treatment of cardiovascular disease (CVD) in China since the 1980s. Previous clinical studies have shown that SBP is safe and effective in patients with CVD, but the mechanism of the therapeutic effect is still poorly understood and requires further research. Aim of the study: This study aims to comprehensively understand the effects and the underlying mechanisms of SBP for CVD treatment by analyzing the whole proteome of myocardial infarction (MI) model rats with or without SBP treatment. Materials and methods: We evaluated the therapeutic effects of SBP on myocardial infarction model (MI) rats by performing the echocardiography analyses after 15-day treatment. And the label-free quantitative proteomic approach was utilized to investigate the whole proteome of the rat heart tissues from MI group (MI rats, n=3), SBP group (MI rats treated with SBP, n=3) and SOG group (sham operated rats, n=3) on the operation day (Day 0) and 15 days after operation (Day 15), respectively. The differentially expressed proteins were subsequently analyzed with bioinformatical methods such as KEGG pathway enrichment analysis, gene ontology (GO)-annotation analysis and protein-protein interaction (PPI) network analysis. Finally, the expression levels of two promising proteins were validated by immunoblotting. Results: The echocardiography analyses show SBP significantly improved the left ventricular fractional shortening (LVFS) and left ventricular ejection fraction (LVEF) of MI rats. Additionally, 134 proteins were differentially expressed both between SBP/MI and SOG/MI, and 15 proteins were found closely related to CVD. The pathway enrichment and GO-annotation analysis of these differentially expressed proteins revealed that the proteins involved in cellular mitochondrial energy metabolism processes, such as fatty acid beta-oxidation and aerobic respiration, were significantly regulated under SBP treatments, of which fatty acid-binding protein 3 (FABP3) and myoglobin (MB) was significantly down-regulated in MI model group compared with SOG group and was returned to the basal level by SBP treatment. Expression levels of these two proteins were confirmed by immunoblotting experiments. Conclusions: These results we obtained in current study probably demonstrated that the cardio-protective effects of Shexiang Baoxin Pill might be achieved through the regulation of energy metabolism homeostasis in cardiac tissue.
HostingRepositoryPRIDE
AnnounceDate2020-12-14
AnnouncementXMLSubmission_2020-12-14_00:02:31.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYue Yu
SpeciesList scientific name: Rattus norvegicus (Rat); NCBI TaxID: 10116;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-05-19 05:05:08ID requested
12020-12-14 00:02:31announced
Publication List
Yu F, Yu Y, Tian S, Zhou Y, Chen X, Ye J, Liu Q, Xu X, Zhou H, Zhang W, Quantitative proteomics reveals Shexiang Baoxin Pill exerts cardioprotective effects by preserving energy metabolism in a rat model of myocardial infarction. J Ethnopharmacol, 266():113460(2021) [pubmed]
Keyword List
submitter keyword: Shexiang Baoxin Pill
Cardiovascular disease
LC-MS/MS
Quantitative proteomics
Energy metabolism
Contact List
Hu Zhou
contact affiliationDepartment of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
contact emailzhouhu@simm.ac.cn
lab head
Yue Yu
contact affiliationShanghai Institute of Materia Medica, Chinese Academy of Sciences
contact emails19-yuyue@simm.ac.cn
dataset submitter
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