Evidence map›Paper›PMID 29546329›Full record

ArticleThe Journal of clinical endocrinology and metabolism2018

Metabolomics Identifies Distinctive Metabolite Signatures for Measures of Glucose Homeostasis: The Insulin Resistance Atherosclerosis Family Study (IRAS-FS).

Nicholette D Palmer, Hayrettin Okut, Fang-Chi Hsu, Maggie C Y Ng, Yii-Der Ida Chen, Mark O Goodarzi, Kent D Taylor, Jill M Norris, Carlos Lorenzo, Jerome I Rotter and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Metabolomic profiles are reflective of hypoxia-induced insulin resistance during exercise in healthy young adult males.American journal of physiology. Regulatory, integrative and comparative physiology · 2021
    Trial
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  5. Methods for estimating insulin resistance from untargeted metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2023
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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 8 institutions in 1 country.

Nicholette D PalmerDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Hayrettin OkutCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Maggie C Y NgDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Yii-Der Ida ChenInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles Medical Center, Torrance, California.
Mark O GoodarziDivision of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California.
Kent D TaylorInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles Medical Center, Torrance, California.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado.
Carlos LorenzoDepartment of Medicine, University of Texas Health Science Center, San Antonio, Texas.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-University of California Los Angeles Medical Center, Torrance, California.
Richard N BergmanDepartment of Physiology and Biophysics, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Carl D LangefeldDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Lynne E WagenknechtDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Donald W BowdenDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Wake Forest University · USCedars-Sinai Medical Center · USLos Angeles Medical Center · USThe Lundquist Institute · USThe University of Texas Health Science Center at San Antonio · USUniversity of California, Los Angeles · USUniversity of Colorado Denver · USUniversity of Southern California · US

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genetic & Epidemiologic Predictors of Glucose Homeostasis Measures in HispanicsR01DK085175 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E, WATANABE, RICHARD M · 2010 to 2013
$6.9M
IRAS FAMILY STUDY--GENETICS OF INSULIN RESISTANCER01HL060944 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 1999 to 2009
$5.5M
Exome Sequencing to Identify CVD Risk Variants in Hispanics & African AmericansR01HG007112 · NHGRI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W, LANGEFELD, CARL D · 2012 to 2016
$4.8M
IRAS FAMILY STUDY: GENETICS OF INSULIN RESISTANCER01HL060919 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LORENZO, CARLOS · 1999 to 2008
$2.7M
IRAS FAMILY STUDY--GENETICS OF INSULIN RESISTANCER01HL061019 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI NORRIS, JILL M · 1999 to 2009
$2.6M
NHGRI NIH HHS R01 HG007112NHLBI NIH HHS R01 HL060919NHLBI NIH HHS R01 HL060944NHLBI NIH HHS R01 HL061019NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK085175
6 · The paper itself

Abstract

Context: Metabolomics provides a biochemical fingerprint that, when coupled with clinical phenotypes, can provide insight into physiological processes. Objective: Survey metabolites associated with dynamic and basal measures of glucose homeostasis. Design: Analysis of 733 plasma metabolites from the Insulin Resistance Atherosclerosis Family Study. Setting: Community based. Participants: One thousand one hundred eleven Mexican Americans. Main Outcome: Dynamic measures were obtained from the frequently sampled intravenous glucose tolerance test and included insulin sensitivity and acute insulin response to glucose. Basal measures included homeostatic model assessment of insulin resistance and β-cell function. Results: Insulin sensitivity was associated with 99 metabolites (P < 6.82 × 10-5) explaining 28% of the variance (R2adj) beyond 28% by body mass index. Beyond branched chain amino acids (BCAAs; P = 1.85 × 10-18 to 1.70 × 10-5, R2adj = 8.1%) and phospholipids (P = 3.51 × 10-17 to 3.00 × 10-5, R2adj = 14%), novel signatures of long-chain fatty acids (LCFAs; P = 4.49 × 10-23 to 4.14 × 10-7, R2adj = 11%) were observed. Conditional analysis suggested that BCAA and LCFA signatures were independent. LCFAs were not associated with homeostatic model assessment of insulin resistance (P > 0.024). Acute insulin response to glucose was associated with six metabolites; glucose had the strongest association (P = 5.68 × 10-16). Homeostatic model assessment of β-cell function had significant signatures from the urea cycle (P = 9.64 × 10-14 to 7.27 × 10-6, R2adj = 11%). Novel associations of polyunsaturated fatty acids (P = 2.58 × 10-13 to 6.70 × 10-5, R2adj = 10%) and LCFAs (P = 9.06 × 10-15 to 3.93 × 10-7, R2adj = 10%) were observed with glucose effectiveness. Assessment of the hyperbolic relationship between insulin sensitivity and secretion through the disposition index revealed a distinctive signature of polyunsaturated fatty acids (P = 1.55 × 10-12 to 5.81 × 10-6; R2adj = 3.8%) beyond that of its component measures. Conclusions: Metabolomics reveals distinct signatures that differentiate dynamic and basal measures of glucose homeostasis and further identifies new metabolite classes associated with dynamic measures, providing expanded insight into the metabolic basis of insulin resistance.

Indexed as

Insulin ResistanceMetabolomeAdultAtherosclerosisBlood GlucoseCohort StudiesEnergy MetabolismFamilyFemaleGlucoseHomeostasisHumansMaleMetabolomicsMexican AmericansMiddle AgedBlood GlucoseGlucose

Identifiers

PMID29546329
PMCPMC6456957
OpenAlexW2794236039

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.