2020
DOI: 10.1038/s41598-020-61507-z
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Disparate miRNA expression in serum and plasma of patients with acute myocardial infarction: a systematic and paired comparative analysis

Abstract: Despite the promising value of miRnAs in the diagnostic and prognostic of cardiovascular disease (CVD), recent meta-analyses did not support their potential. Methodological variances in studies may interfere with miRNA profile and affect their results. This study determines if the blood starting material is a source of variance in miRNA profile by performing a paired comparison in plasma and serum of the expression of primary miRNAs associated with CVD. Circulating miRNA yield was similar in both plasma and se… Show more

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Cited by 72 publications
(63 citation statements)
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“…A literature review pointed out miR-16, miR-93, miR-106-5p and miR-484 as putative normalizers in plasma samples [ 24 , 25 , 26 , 27 ]. These four normalizers were tested in all samples of the present study, and the best panel was determined using geNorm algorithm [ 28 ].…”
Section: Methodsmentioning
confidence: 99%
“…A literature review pointed out miR-16, miR-93, miR-106-5p and miR-484 as putative normalizers in plasma samples [ 24 , 25 , 26 , 27 ]. These four normalizers were tested in all samples of the present study, and the best panel was determined using geNorm algorithm [ 28 ].…”
Section: Methodsmentioning
confidence: 99%
“…The 90% of the human genome is transcribed in non-coding RNAs, which are classified according to their length in microRNAs (miRNA) and long non-coding RNAs (lncRNA) [ 32 ]. Both of them have recently been identified as contributors to HF development [ 32 , 33 , 34 ].…”
Section: Non-coding Rnasmentioning
confidence: 99%
“…Nowadays, it is widely accepted that circulating miRNA expression profiles can provide new insights in predicting HF among asymptomatic patients. MiRNAs are short, single-stranded, non-coding RNA molecules, packaged into membranous vesicles such as exosomes, microvesicles, and apoptotic bodies, playing a major role in negative post-transcriptional regulation of gene expression [ 33 , 34 ]. Given their presence and high stability in human fluids such as plasma and serum, they are attractive candidates for disease identification and monitoring [ 33 , 35 ].…”
Section: Non-coding Rnasmentioning
confidence: 99%
“…Inconsistencies and variations in results between studies can mostly be attributed to pre-analytical variation arising from different protocols as well as different normalization strategies. The use of plasma or serum, the purification technique, batch effects, the anticoagulant used, leukocyte and platelet contamination, hemolysis, sample storage time, quantification technique are important factors that influence miRNA plasma level variability observed between studies [117][118][119][120] . In addition, in order to obtain enough statistical power, cohorts have to be well calculated to obtain consistent and reproducible results.…”
Section: Accepted Manuscriptmentioning
confidence: 99%