Platelet-derived miR-103b as a novel biomarker for the early diagnosis of type 2 diabetes

Acta Diabetologica

Volumn 52, Issue 5, 2015, Pages 943-949

  Luo, Mao ^a   Li, Rong ^a   Deng, Xin ^a   Ren, Meiping ^a   Chen, Ni ^a   Zeng, Min ^a   Yan, Kai ^a   Xia, Jiyi ^a   Liu, Fei ^b   Ma, Weizhong ^a   Yang, Yan ^c   Wan, Qin ^b   Wu, Jianbo ^a,c  

^a SOUTHWEST MEDICAL UNIVERSITY   (China)

^b THE AFFILIATED HOSPITAL OF SOUTHWEST MEDICAL UNIVERSITY   (China)

^c University of Missouri   (United States)

Author keywords

Diabetes mellitus; MicroRNA; Platelet; Secreted frizzled related protein 4

Indexed keywords

ACETYLSALICYLIC ACID; BIOLOGICAL MARKER; MESSENGER RNA; MICRORNA 103B; SECRETED FRIZZLED RELATED PROTEIN 4; UNCLASSIFIED DRUG; 3' UNTRANSLATED REGION; MICRORNA; MIRN103 MICRORNA, HUMAN; ONCOPROTEIN; SFRP4 PROTEIN, HUMAN;

3' UNTRANSLATED REGION; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; EARLY DIAGNOSIS; GENE EXPRESSION; HUMAN; HUMAN CELL; IMPAIRED GLUCOSE TOLERANCE; ISCHEMIC HEART DISEASE; MEGAKARYOCYTE; NON INSULIN DEPENDENT DIABETES MELLITUS; PRIORITY JOURNAL; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SECRETED FRIZZLED RELATED PROTEIN 4 GENE; THROMBOCYTE; ADULT; AGED; BLOOD; CELL LINE; CHEMISTRY; COMPLICATION; CORONARY ARTERY DISEASE; DIABETES MELLITUS, TYPE 2; FEMALE; GENE SILENCING; GENETICS; MALE; MIDDLE AGED;

3' UNTRANSLATED REGIONS; ADULT; AGED; BIOMARKERS; BLOOD PLATELETS; CELL LINE; CORONARY DISEASE; DIABETES MELLITUS, TYPE 2; EARLY DIAGNOSIS; FEMALE; GENE KNOCKDOWN TECHNIQUES; HUMANS; MALE; MICRORNAS; MIDDLE AGED; PROTO-ONCOGENE PROTEINS;

EID: 84941939630     PISSN: 09405429     EISSN: 14325233     Source Type: Journal    
DOI: 10.1007/s00592-015-0733-0     Document Type: Article

References (19)

1. Liddy CE, Cullen-Arseneau P, Merizzi S, Blazhko V (2013) An ounce of prevention: a primary care based prevention program for pre-diabetic population. Can J Diabetes 37:12–17
2. Nazaribadie M, Asgari K, Amini M, Ahmadpanah M, Nazaribadie M, Jamlipaghale S (2013) Cognitive processes and functions in patients with type 2 diabetes in comparison to pre-diabetic patients. J Res Health Sci 13:208–213
3. Mahdi T, Hanzelmann S, Salehi A, Muhammed SJ, Reinbothe TM, Tang Y, Axelsson AS, Zhou Y, Jing X, Almgren P, Krus U, Taneera J, Blom AM, Lyssenko V, Esguerra JL, Hansson O, Eliasson L, Derry J, Zhang E, Wollheim CB, Groop L, Renström E, Rosengren AH (2012) Secreted frizzled-related protein 4 reduces insulin secretion and is overexpressed in type 2 diabetes. Cell Metab 16:625–633
4. Yang Z, Chen H, Si H, Li X, Ding X, Sheng Q, Chen P, Zhang H (2014) Serum miR-23a, a potential biomarker for diagnosis of pre-diabetes and type 2 diabetes. Acta Diabetol 51:823–831
5. Ha TY (2011) MicroRNAs in Human Diseases: from cancer to cardiovascular disease. Immune Netw 11:135–154
6. Creemers EE, Tijsen AJ, Pinto YM (2012) Circulating microRNAs: novel biomarkers and extracellular communicators in cardiovascular disease? Circ Res 110:483–495
7. Bronze-da-Rocha E (2014) MicroRNAs expression profiles in cardiovascular diseases. Biomed Res Int 2014:985408
8. Landry P, Plante I, Ouellet DL, Perron MP, Rousseau G, Provost P (2009) Existence of a microRNA pathway in anucleate platelets. Nat Struct Mol Biol 16:961–966
9. Edelstein LC, Bray PF (2011) MicroRNAs in platelet production and activation. Blood 117:5289–5296
10. Ple H, Landry P, Benham A, Coarfa C, Gunaratne PH, Provost P (2012) The repertoire and features of human platelet microRNAs. PLoS One 7:e50746
11. Willeit P, Zampetaki A, Dudek K, Kaudewitz D, King A, Kirkby NS, Crosby-Nwaobi R, Prokopi M, Drozdov I, Langley SR, Sivaprasad S, Markus HS, Mitchell JA, Warner TD, Kiechl S, Mayr M (2013) Circulating microRNAs as novel biomarkers for platelet activation. Circ Res 112:595–600
12. Trajkovski M, Hausser J, Soutschek J, Bhat B, Akin A, Zavolan M, Heim MH, Stoffel M (2011) MicroRNAs 103 and 107 regulate insulin sensitivity. Nature 474:649–653
13. Lewis BP, Burge CB, Bartel DP (2005) Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 120:15–20
14. John B, Enright AJ, Aravin A, Tuschl T, Sander C, Marks DS (2004) Human MicroRNA targets. PLoS Biol 2:e363
15. Wang X (2008) miRDB: a microRNA target prediction and functional annotation database with a wiki interface. RNA 14:1012–1017
16. Dweep H, Sticht C, Pandey P, Gretz N (2011) miRWalk–database: prediction of possible miRNA binding sites by “walking” the genes of three genomes. J Biomed Inform 44:839–847
17. Nagalla S, Shaw C, Kong X, Kondkar AA, Edelstein LC, Ma L, Chen J, McKnight GS, López JA, Yang L, Jin Y, Bray MS, Leal SM, Dong JF, Bray PF (2011) Platelet microRNA-mRNA coexpression profiles correlate with platelet reactivity. Blood 117:5189–5197
18. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25:402–408
19. Markham NR, Zuker M (2008) UNAFold: software for nucleic acid folding and hybridization. Methods Mol Biol 453:3–31