Evidence map›Paper›PMID 31543975›Full record

Observational studyBMJ open diabetes research & care2019

Risk of diabetes associated with fatty acids in the de novo lipogenesis pathway is independent of insulin sensitivity and response: the Insulin Resistance Atherosclerosis Study (IRAS).

Waqas Qureshi, Ingrid D Santaren, Anthony J Hanley, Steven M Watkins, Carlos Lorenzo, Lynne E Wagenknecht

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open diabetes research & care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors at 4 institutions in 2 countries.

Waqas Qureshi *Department of Internal Medicine, Wake Forest University, Winston Salem, North Carolina, USA.ORCID 0000-0002-5189-4417
Ingrid D Santaren *Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
Anthony J HanleyDepartment of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-6364-2444
Steven M WatkinsDepartment of Lipomics, Metabolon Inc, West Sacramento, North Carolina, USA.
Carlos LorenzoDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.ORCID 0000-0001-7080-765X
Lynne E WagenknechtDepartment of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina, USA.
University of Toronto · CAWake Forest University · USMetabolon (United States) · USThe University of Texas Health Science Center at San Antonio · US

Funding

QUANTITATION OF FACTORS REGULATING GLUCOSE TOLERANCER01DK029867 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MARILYN ADER · 1986 to 2026
$11.0M
CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
Insulin Clearance: Candidate and Positional Genetic DeterminantsR01DK079888 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI GOODARZI, MARK · 2008 to 2012
$1.7M
INSULIN RESISTANCE AND CARDIOVASCULAR DISEASEU01HL047892 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J. · 1991 to 1999
–
INSULIN RESISTANCE AND ATHEROSCLEROSIS STUDY (IRAS)U01HL047902 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SAAD, MOHAMMED F · 1991 to 1999
–
NHLBI NIH HHS T32 HL076132NHLBI NIH HHS U01 HL047892NHLBI NIH HHS U01 HL047902NIDDK NIH HHS R01 DK029867NIDDK NIH HHS R01 DK079888
6 · The paper itself

Abstract

Objective: To examine the associations of fatty acids in the de novo lipogenesis (DNL) pathway, specifically myristic acid (14:0), palmitic acid (16:0), Research design and methods: We evaluated 719 (mean age 55.1±8.5 years, 44.2% men, 42.3% Caucasians) participants from the Insulin Resistance Atherosclerosis Study. Multivariable logistic regression models with and without adjustment of insulin sensitivity were used to assess prospective associations of DNL fatty acids with incident type 2 diabetes. Results: Type 2 diabetes incidence was 20.3% over 5 years. In multivariable regression models, palmitic, palmitoleic, myristic, myristoleic and oleic acids were associated with increased risk of type 2 diabetes (p<0.05). Palmitic acid had the strongest association (OR per standard unit of palmitic acid 1.46; 95% CI 1.23 to 1.76; p<0.001), which remained similar with addition of insulin sensitivity and acute insulin response (AIR) to the model (OR 1.36; 95% CI 1.09 to 1.70, p=0.01). Oleic and palmitoleic acids were also independently associated with incident type 2 diabetes. In multivariable models, ratios of fatty acids corresponding to stearoyl CoA desaturase-1 and Elovl6 enzymatic activity were significantly associated with risk of type 2 diabetes independent of insulin sensitivity and AIR. Conclusions: We observed associations of DNL fatty acids with type 2 diabetes incidence independent of insulin sensitivity.

Indexed as

Insulin ResistanceLipogenesisAtherosclerosisBiomarkersDiabetes Mellitus, Type 2Fatty AcidsFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisSignal TransductionBiomarkersFatty Acidsacute insulin responseDiabetes mellitusethnicityfatty acid metabolisminsulin sensitivity

Identifiers

PMID31543975
PMCPMC6731783
OpenAlexW2972280427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.