Key result
Bioinformatics analysis identified 17, 19, and 3 protein complexes significantly differentially expressed between normal vs. recurrent, recurrent vs. nonrecurrent, and normal vs. nonrecurrent myocardial infarction groups, respectively.
A bioinformatics approach identified protein complexes potentially involved in the pathogenesis of myocardial infarction, offering possible new therapeutic targets.
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Identifies candidate protein complexes in MI; hypothesis-generating and requires functional validation before any clinical consideration.
Myocardial infarction (MI) is a leading cause of mortality and disability worldwide. Determination of the molecular mechanisms underlying the disease is crucial for identifying possible therapeutic targets and designing effective treatments. On the basis that MI may be caused by dysfunctional protein complexes rather than single genes, the present study aimed to use a bioinformatics approach to identifying complexes that may serve important roles in the development of MI. By investigating the proteins involved in these identified complexes, numerous proteins have been reported that are related to MI, whereas other proteins interacted with MI‑related proteins, which implied that these protein complexes may indeed be related to the development of MI. The protein complexes detected in the present study may aid in our understanding of the molecular mechanisms that underlie MI pathogenesis.
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Jiao et al. (2018) studied Myocardial infarction (n=52). Differentially expressed protein complexes vs. Normal samples was evaluated on Identification of protein complexes significantly different among MI groups (p=<0.01). Bioinformatics analysis identified 17, 19, and 3 protein complexes significantly differentially expressed between normal vs. recurrent, recurrent vs. nonrecurrent, and normal vs. nonrecurrent myocardial infarction groups, respectively.
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