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For: Jakubik D, Fitas A, Eyileten C, Jarosz-Popek J, Nowak A, Czajka P, Wicik Z, Sourij H, Siller-Matula JM, De Rosa S, Postula M. MicroRNAs and long non-coding RNAs in the pathophysiological processes of diabetic cardiomyopathy: emerging biomarkers and potential therapeutics. Cardiovasc Diabetol 2021;20:55. [PMID: 33639953 DOI: 10.1186/s12933-021-01245-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Cai H, Zhou L, Liu J, Li Z, Chen S. Independent and combined effects of liraglutide and aerobic interval training on glycemic control and cardiac protection in diabetic cardiomyopathy rats. Biochem Biophys Res Commun 2022;629:112-20. [PMID: 36116373 DOI: 10.1016/j.bbrc.2022.09.018] [Reference Citation Analysis]
2 Wang S, Duan J, Liao J, Wang Y, Xiao X, Li L, Liu Y, Gu H, Yang P, Fu D, Du J, Li X, Shao M. LncRNA H19 inhibits ER stress induced apoptosis and improves diabetic cardiomyopathy by regulating PI3K/AKT/mTOR axis. Aging (Albany NY) 2022;14. [PMID: 36044268 DOI: 10.18632/aging.204256] [Reference Citation Analysis]
3 Zhou W, Wang Z, Tao Y, Chen C, Zhang Q, Liu Z, Li L, Xia P, Ye Z. LncRNA-MEG3 attenuates hyperglycemia-induced damage by enhancing mitochondrial translocation of HSP90A in the primary hippocampal neurons. Exp Cell Res 2022;:113320. [PMID: 35998683 DOI: 10.1016/j.yexcr.2022.113320] [Reference Citation Analysis]
4 Karam RA, Amer MM, Zidan HE. Long Noncoding RNA NEAT1 Expression and Its Target miR-124 in Diabetic Ischemic Stroke Patients. Genet Test Mol Biomarkers 2022;26:398-407. [PMID: 36027040 DOI: 10.1089/gtmb.2021.0301] [Reference Citation Analysis]
5 Wang J, Liu B, Cao J, Zhao L, Wang G. MIR31HG Expression Predicts Poor Prognosis and Promotes Colorectal Cancer Progression. Cancer Manag Res 2022;14:1973-86. [PMID: 35733512 DOI: 10.2147/CMAR.S351928] [Reference Citation Analysis]
6 Zhou J, Ji X, Zhang F, Yan K, Huang P, Huang C. Bioinformatics analysis for identifying micro-RNAs, long noncoding RNAs, transcription factors, and immune genes regulatory networks in diabetic cardiomyopathy using an integrated bioinformatics analysis. Inflamm Res 2022. [PMID: 35438360 DOI: 10.1007/s00011-022-01571-5] [Reference Citation Analysis]
7 Yin Z, Chen C. Biological Functions and Clinical Prospects of Extracellular Non-Coding RNAs in Diabetic Cardiomyopathy: an Updated Review. J Cardiovasc Transl Res 2022. [PMID: 35175553 DOI: 10.1007/s12265-022-10217-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Chatzopoulou F, Kyritsis KA, Papagiannopoulos CI, Galatou E, Mittas N, Theodoroula NF, Papazoglou AS, Karagiannidis E, Chatzidimitriou M, Papa A, Sianos G, Angelis L, Chatzidimitriou D, Vizirianakis IS. Dissecting miRNA–Gene Networks to Map Clinical Utility Roads of Pharmacogenomics-Guided Therapeutic Decisions in Cardiovascular Precision Medicine. Cells 2022;11:607. [DOI: 10.3390/cells11040607] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Lu X, Tan Q, Ma J, Zhang J, Yu P. Emerging Role of LncRNA Regulation for NLRP3 Inflammasome in Diabetes Complications. Front Cell Dev Biol 2021;9:792401. [PMID: 35087834 DOI: 10.3389/fcell.2021.792401] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Eyileten C, Wicik Z, Fitas A, Marszalek M, Simon JE, De Rosa S, Wiecha S, Palatini J, Postula M, Malek LA. Altered Circulating MicroRNA Profiles After Endurance Training: A Cohort Study of Ultramarathon Runners. Front Physiol 2022;12:792931. [DOI: 10.3389/fphys.2021.792931] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
11 De Rosa S, Iaconetti C, Eyileten C, Yasuda M, Albanese M, Polimeni A, Sabatino J, Sorrentino S, Postula M, Indolfi C. Flow-Responsive Noncoding RNAs in the Vascular System: Basic Mechanisms for the Clinician. J Clin Med 2022;11:459. [PMID: 35054151 DOI: 10.3390/jcm11020459] [Reference Citation Analysis]
12 da Silva JS, Gonçalves RGJ, Vasques JF, Rocha BS, Nascimento-Carlos B, Montagnoli TL, Mendez-Otero R, de Sá MPL, Zapata-Sudo G. Mesenchymal Stem Cell Therapy in Diabetic Cardiomyopathy. Cells 2022;11:240. [PMID: 35053356 DOI: 10.3390/cells11020240] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Wang L, Shi H, Zhao C, Li J, Peng J, Shen A, Zhou P, Bian H. Astragaloside IV protects diabetic cardiomyopathy against inflammation and apoptosis via regulating TLR4/MyD88/NF-κB signaling pathway. Journal of Functional Foods 2022;88:104905. [DOI: 10.1016/j.jff.2021.104905] [Reference Citation Analysis]
14 Tuleta I, Frangogiannis NG. Fibrosis of the diabetic heart: Clinical significance, molecular mechanisms, and therapeutic opportunities. Adv Drug Deliv Rev 2021;176:113904. [PMID: 34331987 DOI: 10.1016/j.addr.2021.113904] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
15 Zhao Y, Liu L, Zhao J, Du X, Yu Q, Wu J, Wang B, Ou R. Construction and Verification of a Hypoxia-Related 4-lncRNA Model for Prediction of Breast Cancer. Int J Gen Med 2021;14:4605-17. [PMID: 34429643 DOI: 10.2147/IJGM.S322007] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
16 Eyileten C, Fitas A, Jakubik D, Czajka P, Mróz A, Czajkowska A, Witek K, Bakalarski W, De Rosa S, Postuła M, Małek ŁA. Alterations in Circulating MicroRNAs and the Relation of MicroRNAs to Maximal Oxygen Consumption and Intima-Media Thickness in Ultra-Marathon Runners. Int J Environ Res Public Health 2021;18:7234. [PMID: 34299680 DOI: 10.3390/ijerph18147234] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
17 Czajka P, Fitas A, Jakubik D, Eyileten C, Gasecka A, Wicik Z, Siller-Matula JM, Filipiak KJ, Postula M. MicroRNA as Potential Biomarkers of Platelet Function on Antiplatelet Therapy: A Review. Front Physiol 2021;12:652579. [PMID: 33935804 DOI: 10.3389/fphys.2021.652579] [Cited by in Crossref: 1] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]