Evidence map›Paper›PMID 31779625›Full record

ArticleBMC medicine2019

Insulin resistance and systemic metabolic changes in oral glucose tolerance test in 5340 individuals: an interventional study.

Qin Wang, Jari Jokelainen, Juha Auvinen, Katri Puukka, Sirkka Keinänen-Kiukaanniemi, Marjo-Riitta Järvelin, Johannes Kettunen, Ville-Petteri Mäkinen, Mika Ala-Korpela

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06119035 (Insulin Modelling Based on Plasma Glucose Measures Via a Minimally-Invasive Glucose Sensor), which is not on this map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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.

NCT06119035 nacompletednot on this mapstarted 2023, after this paper: background citation

Insulin Modelling Based on Plasma Glucose Measures Via a Minimally-Invasive Glucose Sensor

TypeinterventionalSponsorSingapore Institute of Food and Biotechnology InnovationRan2023 to 2024Enrolled20ConditionsPreDiabetesArmsSingle dose of 75 grams glucose in 200ml water
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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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

9 authors at 5 institutions in 3 countries.

Qin WangComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland. qin.wang@baker.edu.au.
Jari JokelainenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Juha AuvinenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Katri PuukkaNordLab Oulu, Oulu University Hospital and Department of Clinical Chemistry, University of Oulu, Oulu, Finland.
Sirkka Keinänen-KiukaanniemiCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Marjo-Riitta JärvelinCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.
Johannes KettunenComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
Ville-Petteri MäkinenComputational and Systems Biology Program, Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland. mika.ala-korpela@baker.edu.au.ORCID 0000-0001-5905-1206
Oulu University Hospital · FIBaker Heart and Diabetes Institute · AUFinnish Institute for Health and Welfare · FISouth Australian Health and Medical Research Institute · AUUniversity of Oulu · FI

Funding

Medical Research Council MC_UU_12013/1
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is predictive for type 2 diabetes and associated with various metabolic abnormalities in fasting conditions. However, limited data are available on how IR affects metabolic responses in a non-fasting setting, yet this is the state people are mostly exposed to during waking hours in the modern society. Here, we aim to comprehensively characterise the metabolic changes in response to an oral glucose test (OGTT) and assess the associations of these changes with IR.

methodsBlood samples were obtained at 0 (fasting baseline, right before glucose ingestion), 30, 60, and 120 min during the OGTT. Seventy-eight metabolic measures were analysed at each time point for a discovery cohort of 4745 middle-aged Finnish individuals and a replication cohort of 595 senior Finnish participants. We assessed the metabolic changes in response to glucose ingestion (percentage change in relative to fasting baseline) across the four time points and further compared the response profile between five groups with different levels of IR and glucose intolerance. Further, the differences were tested for covariate adjustment, including gender, body mass index, systolic blood pressure, fasting, and 2-h glucose levels. The groups were defined as insulin sensitive with normal glucose (IS-NGT), insulin resistant with normal glucose (IR-NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and new diabetes (NDM). IS-NGT and IR-NGT were defined as the first and fourth quartile of fasting insulin in NGT individuals.

resultsGlucose ingestion induced multiple metabolic responses, including increased glycolysis intermediates and decreased branched-chain amino acids, ketone bodies, glycerol, and triglycerides. The IR-NGT subgroup showed smaller responses for these measures (mean + 23%, interquartile 9-34% at 120 min) compared to IS-NGT (34%, 23-44%, P < 0.0006 for difference, corrected for multiple testing). Notably, the three groups with glucose abnormality (IFG, IGT, and NDM) showed similar metabolic dysregulations as those of IR-NGT. The difference between the IS-NGT and the other subgroups was largely explained by fasting insulin, but not fasting or 2 h glucose. The findings were consistent after covariate adjustment and between the discovery and replication cohort.

conclusionsInsulin-resistant non-diabetic individuals are exposed to a similar adverse postprandial metabolic milieu, and analogous cardiometabolic risk, as those with type 2 diabetes. The wide range of metabolic abnormalities associated with IR highlights the necessity of diabetes diagnostics and clinical care beyond glucose management.

Indexed as

Glucose Tolerance TestInsulin ResistanceAdministration, OralAdolescentAdultBlood GlucoseBody Mass IndexChildChild, PreschoolCohort StudiesDiabetes Mellitus, Type 2FastingFemaleFollow-Up StudiesGlucoseHumansBlood GlucoseGlucoseInsulinTriglyceridesImpaired fasting glucoseImpaired glucose toleranceInsulin resistanceMetabolic profilingOral glucose tolerance testType 2 diabetes

Identifiers

PMID31779625
PMCPMC6883544
OpenAlexW2989943484

What OpenQuestion holds

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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.