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Details	EV-TRACK ID	Experiment nr.	Species	Sample type	Separation protocol	First author	Year	EV-METRIC
	EV120138	1/1	Homo sapiens	Serum	ExoQuick	Karolina DS	2012	0%
Study summary Full title Circulating miRNA profiles in patients with metabolic syndrome All authors Karolina DS, Tavintharan S, Armugam A, Sepramaniam S, Pek SL, Wong MT, Lim SC, Sum CF, Jeyaseelan K Journal J Clin Endocrinol Metab Abstract CONTEXT: Coordinated interplay of dysregulated microRNAs in isolated metabolic disorder is implicate (show more...)CONTEXT: Coordinated interplay of dysregulated microRNAs in isolated metabolic disorder is implicated in the pathogenesis of metabolic syndrome. OBJECTIVE: The objective of the study was to characterize microRNA expression in the blood and exosomes of individuals with metabolic syndrome and compare them with those manifesting one of the metabolic vascular risk factors (type 2 diabetes, hypercholesterolemia, or hypertension). RESEARCH DESIGN/SETTING/PARTICIPANTS: A total of 265 participants were recruited in a health screening and characterized into distinct groups as follows: 1) healthy controls (n = 46); 2) metabolic syndrome (n = 50); 3) type 2 diabetes (n = 50); 4) hypercholesterolemia (n = 89); and 5) hypertension (n = 30). Total RNA was subjected to microRNA profiling, and a panel of significantly dysregulated microRNAs was validated using quantitative PCR. MAIN OUTCOME MEASURES: Analysis of profiling data characterized unique pools of miRNAs that could categorize the different risk factors of metabolic syndrome. RESULTS: We have identified miR-197, miR-23a, and miR-509-5p as potential contributors of dyslipidemia in metabolic syndrome (correlation with body mass index; P = 0.029, 0.021, and 0.042, respectively) and miR-130a and miR-195 as contributors of hypertension (correlation with blood pressure; P = 0.019 and 0.045, respectively). A plausible association of miR-27a and miR-320a with metabolic syndrome and type 2 diabetes patients has also been found because these miRNAs remained dysregulated in both cases (correlation with fasting glucose; P = 0.010 and 0.016, respectively). CONCLUSIONS: Significant dysregulation of seven candidate microRNAs has been found to be associated with risks involved in the manifestation of metabolic syndrome. (hide) EV-METRIC 0% (median: 13% of all experiments on the same sample type) Reported Not reported Not applicable EV-enriched proteins Protein analysis: analysis of three or more EV-enriched proteins non EV-enriched protein Protein analysis: assessment of a non-EV-enriched protein qualitative and quantitative analysis Particle analysis: implementation of both qualitative and quantitative methods. For the quantitative method, the reporting of measured EV concentration is expected. electron microscopy images Particle analysis: inclusion of a widefield and close-up electron microscopy image density gradient Separation method: density gradient, at least as validation of results attributed to EVs EV density Separation method: reporting of obtained EV density ultracentrifugation specifics Separation method: reporting of g-forces, duration and rotor type of ultracentrifugation steps antibody specifics Protein analysis: antibody clone/reference number and dilution lysate preparation Protein analysis: lysis buffer composition Study data Sample type Serum Sample origin NAY Focus vesicles Separation protocol Separation protocol Gives a short, non-chronological overview of the different steps of the separation protocol. dUC = (Differential) (ultra)centrifugation DG = density gradient UF = ultrafiltration SEC = size-exclusion chromatography IAF = immuno-affinity capture ExoQuick Protein markers EV: non-EV: Proteomics no Show all info Study aim Biomarker Sample Species Homo sapiens Sample Type Serum Separation Method Commercial kit ExoQuick Other Name other separation method ExoQuick

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EV-TRACK ID	EV120138
species	Homo sapiens
sample type	Serum
condition	NAY
separation protocol	ExoQuick
Exp. nr.	1
EV-METRIC %	0