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Description

We proposed miRNAproteinmetabolite interaction networks along with their intra- and inter-connected proteinprotein, metabolitemetabolite, and proteinmetabolite interaction networks formed by miRNA, protein, and metabolite fingerprints such as hsa-mir-122-5p, hsa-mir-30c-5p, hsa-mir-30d-5p, hsa-mir-22-3p, IL6, GSTM2, GPX3, ACADM, GSTM3, LEP, ADIPOQ, INS, CASP1, NLRP3, HADH, ACAT1, PRDX2, PRDX1, TNF, ELAVL1, SERPINA1, A2M, IGFBP7, PRDX6, APOA1, APCS, NPPA, ADAM9, GDF15, ACADVL, FGL1, ECH1, bilirubin, butyric acid (butyrate), octanoylcarnitine (octanoylcarnit.), isoleucine, leucine, alanine, glutamine, L-valine, cytidine triphosphate (ara-CTP), 7-keto-8-aminopelargonic acid (7-keto-8-amino.), creatinine, decanoylcarnitine (decanoylcarnit.), and hexanoylcarnitine (hexanoylcarnit.) may form the key players and the regulatory networks involved in the pathogenesis of diabetic cardiomyopathy (DCM)

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Neuroimage 21 : 527539

[DOI] [PubMed] [Google Scholar] 5.DOrazio, J., Jarrett, S., Amaro-Ortiz, A

Computational modeling of reactions The variation in k 2 for the acylic disulfides (~10 2 ), and between the acyclic species/6-membered ring structures and the 5-membered rings (~10 4 ), prompted investigation of the possible reasons for this variation