Evidence map›Paper›PMID 29875472›Full record

ArticleScientific reports2018

Glucose challenge metabolomics implicates medium-chain acylcarnitines in insulin resistance.

Christoph Nowak, Susanne Hetty, Samira Salihovic, Casimiro Castillejo-Lopez, Andrea Ganna, Naomi L Cook, Corey D Broeckling, Jessica E Prenni, Xia Shen, Vilmantas Giedraitis and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 66 citations in OpenAlex.

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  6. Biomarkers of Cardiac Metabolic Flexibility in Health, HFrEF and HFpEF.International journal of molecular sciences · 2026
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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

16 authors at 6 institutions in 3 countries.

Christoph NowakDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Susanne HettyDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Samira SalihovicDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Casimiro Castillejo-LopezDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Andrea GannaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, United States of America.
Naomi L CookDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-1830-2432
Corey D BroecklingProteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, United States of America.
Jessica E PrenniProteomics and Metabolomics Facility, Colorado State University, Fort Collins, CO, United States of America.
Xia ShenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Vilmantas GiedraitisDepartment of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-3423-2021
Johan ÄrnlövDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Lars LindDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden.
Christian BerneDepartment of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, Uppsala, Sweden.
Johan SundströmDepartment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden.
Tove FallDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2071-5866
Erik IngelssonDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. eriking@stanford.edu.
Uppsala University · SEColorado State University · USBroad Institute · USCardiovascular Institute of the South · USDalarna University · SEKarolinska Institutet · SE

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Beyond GWAS of insulin resistance: An integrated approach to translate genetic association to functionR01DK106236 · NIDDK · STANFORD UNIVERSITY · PI KNOWLES, JOSHUA WILEY · 2016 to 2020
$2.4M
NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK106236
6 · The paper itself

Abstract

Insulin resistance (IR) predisposes to type 2 diabetes and cardiovascular disease but its causes are incompletely understood. Metabolic challenges like the oral glucose tolerance test (OGTT) can reveal pathogenic mechanisms. We aimed to discover associations of IR with metabolite trajectories during OGTT. In 470 non-diabetic men (age 70.6 ± 0.6 years), plasma samples obtained at 0, 30 and 120 minutes during an OGTT were analyzed by untargeted liquid chromatography-mass spectrometry metabolomics. IR was assessed with the hyperinsulinemic-euglycemic clamp method. We applied age-adjusted linear regression to identify metabolites whose concentration change was related to IR. Nine trajectories, including monounsaturated fatty acids, lysophosphatidylethanolamines and a bile acid, were significantly associated with IR, with the strongest associations observed for medium-chain acylcarnitines C10 and C12, and no associations with L-carnitine or C2-, C8-, C14- or C16-carnitine. Concentrations of C10- and C12-carnitine decreased during OGTT with a blunted decline in participants with worse insulin resistance. Associations persisted after adjustment for obesity, fasting insulin and fasting glucose. In mouse 3T3-L1 adipocytes exposed to different acylcarnitines, we observed blunted insulin-stimulated glucose uptake after treatment with C10- or C12-carnitine. In conclusion, our results identify medium-chain acylcarnitines as possible contributors to IR.

Indexed as

Insulin Resistance3T3-L1 CellsAgedAnimalsCarnitineDiabetes Mellitus, Type 2GlucoseGlucose Tolerance TestHumansLipolysisMaleMetabolomicsMiceacylcarnitineCarnitineGlucose

Identifiers

PMID29875472
PMCPMC5989236
OpenAlexW2806298067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.