Evidence map›Paper›PMID 29360415›Full record

ArticleMetabolic syndrome and related disorders2018

Relationship of Circulating miRNAs with Insulin Sensitivity and Associated Metabolic Risk Factors in Humans.

Elizabeth Ma, Yuchang Fu, W Timothy Garvey

Open access · greenAbstract read
In one paragraph

Article in Metabolic syndrome and related disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  17. Nutritional genomics, inflammation and obesity.Archives of endocrinology and metabolism
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Elizabeth Ma1 Department of Nutrition Sciences, University of Alabama at Birmingham , Birmingham, Alabama.
Yuchang Fu1 Department of Nutrition Sciences, University of Alabama at Birmingham , Birmingham, Alabama.
W Timothy Garvey1 Department of Nutrition Sciences, University of Alabama at Birmingham , Birmingham, Alabama.
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008361 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YACOUBIAN, TALENE ALENE · 1992 to 2024
$16.8M
UAB Pre-Doctoral Training Program in Obesity-Related ResearchT32HL105349 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2010 to 2026
$5.7M
MECHANISMS OF HUMAN INSULIN RESISTANCER01DK038765 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 1993 to 2010
$4.0M
NHLBI NIH HHS T32 HL105349NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK038765NIGMS NIH HHS T32 GM008361
6 · The paper itself

Abstract

backgroundInsulin resistance disrupts metabolic processes and leads to various chronic disease states such as diabetes and metabolic syndrome (MetS). However, the mechanism linking insulin resistance with cardiometabolic disease pathophysiology is still unclear. One possibility may be through circulating microRNAs (c-miRs), which can alter gene expression in target tissues. Our goal was to assess the relationship of c-miRs with insulin sensitivity, as measured by the gold standard, hyperinsulinemic-euglycemic clamp technique.

methodsEighty-one nondiabetic, sedentary, and weight-stable patients across a wide range of insulin sensitivities were studied. Measurements were taken for blood pressure, anthropometric data, fasting glucose and lipids, and insulin sensitivity measured by clamp. After an initial screening array to identify candidate miRs in plasma, all samples were assessed for relationships between these c-miRs and insulin sensitivity, as well as associated metabolic factors.

resultsmiR-16 and miR-107 were positively associated with insulin sensitivity (R

conclusionsOur results show that relative levels of circulating miR-16, -107, -33, -150, and -222 are associated with insulin sensitivity and metabolic risk factors, and suggest that multiple miRs may act in concert to produce insulin resistance and the clustering of associated traits that comprise the MetS. Therefore, miRs may have potential as novel therapeutic targets or agents in cardiometabolic disease.

Indexed as

AdultBlood GlucoseBlood PressureBody Mass IndexFemaleHumansInsulin ResistanceMaleMetabolic SyndromeMicroRNAsMiddle AgedRisk FactorsBlood GlucoseMicroRNAsMIRN107 microRNA, humanMIRN16 microRNA, humancirculatinginsulin resistanceinsulin sensitivitymetabolismmicroRNAplasma

Identifiers

PMID29360415
PMCPMC5833250
OpenAlexW2787898318

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.