Evidence map›Paper›PMID 31489455›Full record

ArticleDiabetologia2019

Mechanisms of hyperinsulinaemia in apparently healthy non-obese young adults: role of insulin secretion, clearance and action and associations with plasma amino acids.

Steven Hamley, Danielle Kloosterman, Tamara Duthie, Chiara Dalla Man, Roberto Visentin, Shaun A Mason, Teddy Ang, Ahrathy Selathurai, Gunveen Kaur, Maria G Morales-Scholz and 4 more

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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.

NCT05121844 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications

TypeinterventionalSponsorSignos IncRan2021 to 2027Enrolled31,187ConditionsWeight Loss, Metabolic Syndrome, Pre-diabetes, Central ObesityArmsContinuous Glucose Monitor Device
NCT05874635 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Use of Signos mHealth Platform in Participants With Non-Insulin Dependent Type 2 Diabetes: Weight and Blood Glucose

TypeinterventionalSponsorSignos IncRan2023 to 2029Enrolled20,000ConditionsWeight Loss, Metabolic Syndrome, Diabetes Mellitus, Type 2, Central ObesityArmsContinuous Glucose Monitor Device
NCT06214221 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

A Randomized Controlled Trial Evaluating the Safety and Effectiveness of the Intelligently-Driven Signos System for Personalized Weight Management in Overweight and Obese Adults

TypeinterventionalSponsorSignos IncRan2024 to 2026Enrolled380ConditionsOverweight and Obesity, Metabolic Syndrome, Weight LossArmsSignos System, Standard Lifestyle Education
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 28 citations in OpenAlex.

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  14. Human and mouse muscle transcriptomic analyses identify insulin receptor mRNA downregulation in hyperinsulinemia-associated insulin resistance.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
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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

14 authors at 2 institutions in 2 countries.

Steven HamleyInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Danielle KloostermanInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Tamara DuthieInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Chiara Dalla ManDepartment of Information Engineering, University of Padova, Padova, Italy.
Roberto VisentinDepartment of Information Engineering, University of Padova, Padova, Italy.
Shaun A MasonInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Teddy AngInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Ahrathy SelathuraiInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Gunveen KaurInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Maria G Morales-ScholzInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Kirsten F HowlettInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Greg M KowalskiInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Christopher S ShawInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Clinton R BruceInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia. clinton.bruce@deakin.edu.au.
Deakin University · AUUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThis study aimed to examine the metabolic health of young apparently healthy non-obese adults to better understand mechanisms of hyperinsulinaemia.

methodsNon-obese (BMI < 30 kg/m

resultsThirteen per cent of individuals had impaired fasting glucose (IFG; n = 14) or impaired glucose tolerance (IGT; n = 19), allowing comparisons across the continuum of insulin responses within the spectrum of normoglycaemia and prediabetes. BMI (~24 kg/m CONCLUSIONS/

interpretationHyperinsulinaemia within normoglycaemic young, non-obese adults manifests due to increased insulin secretion and reduced insulin clearance. Individual phenotypic characterisation revealed that the most hyperinsulinaemic were more similar to individuals with IGT than IFG, suggesting that hyperinsulinaemic individuals may be on the continuum toward IGT. Furthermore, plasma branched-chain amino acids may not be an effective biomarker in identifying hyperinsulinaemia and insulin resistance in young non-obese adults.

Indexed as

AdolescentAdultAmino AcidsBlood GlucoseFastingFemaleGlucose Tolerance TestHumansHyperinsulinismInsulinInsulin ResistanceInsulin SecretionLipidsMaleYoung AdultAmino AcidsBlood GlucoseInsulinLipidsHyperinsulinaemiaInsulin secretionInsulin sensitivityMinimal modelPlasma amino acidsPrediabetes

Identifiers

PMID31489455
PMCPMC6861536
OpenAlexW2971625612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.