Evidence map›Paper›PMID 32687239›Full record

ArticleDiabetes, obesity & metabolism2020

Rationale, design and baseline characteristics of the Microbiome and Insulin Longitudinal Evaluation Study (MILES).

Elizabeth T Jensen, Alain G Bertoni, Osa L Crago, Kristi L Hoffman, Alexis C Wood, Zorayr Arzumanyan, Lok-Sze Kelvin Lam, Kathryn Roll, Kevin Sandow, Martin Wu and 5 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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  12. Advances in integrative African genomics.Trends in genetics : TIG · 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

15 authors at 6 institutions in 1 country.

Elizabeth T JensenDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Alain G BertoniDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Osa L CragoDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Kristi L HoffmanDepartment of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.
Alexis C WoodUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA.
Zorayr ArzumanyanDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Lok-Sze Kelvin LamDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Kathryn RollDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Kevin SandowDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Martin WuDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Jerome I RotterDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Yii-Der I ChenDepartment of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.
Joseph F PetrosinoDepartment of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0001-6364-5103
UCLA Medical Center · USWake Forest University · USBaylor College of Medicine · USUniversity of Virginia · USCedars-Sinai Medical Center · USChildren's Nutrition Research Center at Baylor College of Medicine · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Impact of the gut microbiome and diet on change in insulin homeostasis and cardiometabolic riskR01DK109588 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI GOODARZI, MARK, PETROSINO, JOSEPH FRANK · 2017 to 2021
$3.1M
NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK109588USDA/ARS 58-3092-5-001
6 · The paper itself

Abstract

aimTo investigate the role of the gut microbiome in regulating key insulin homeostasis traits (insulin sensitivity, insulin secretion and insulin clearance) whose dysfunction leads to type 2 diabetes (T2D). MATERIALS AND

methodsThe Microbiome and Insulin Longitudinal Evaluation Study (MILES) focuses on African American and non-Hispanic white participants aged 40-80 years without diabetes. Three study visits are planned (at baseline, 15 and 30 months). Baseline measurements include assessment of the stool microbiome and administration of an oral glucose tolerance test, which will yield indexes of insulin sensitivity, insulin secretion and insulin clearance. The gut microbiome profile (composition and function) will be determined using whole metagenome shotgun sequencing along with analyses of plasma short chain fatty acids. Additional data collected include dietary history, sociodemographic factors, health habits, anthropometry, medical history, medications and family history. Most assessments are repeated 15 and 30 months following baseline.

resultsAfter screening 875 individuals, 129 African American and 224 non-Hispanic white participants were enrolled. At baseline, African American participants have higher blood pressure, weight, body mass index, waist and hip circumferences but similar waist-hip ratio compared with the non-Hispanic white participants. On average, African American participants are less insulin-sensitive and have higher acute insulin secretion and lower insulin clearance.

conclusionsThe longitudinal design and robust characterization of potential mediators will allow for the assessment of glucose and insulin homeostasis and gut microbiota as they change over time, improving our ability to discern causal relationships between the microbiome and the insulin homeostasis traits whose deterioration determines T2D, setting the stage for future microbiome-directed therapies to prevent and treat T2D.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeInsulin ResistanceBlood GlucoseGlucose Tolerance TestHumansInsulinBlood GlucoseInsulininsulin resistanceinsulin secretiontype 2 diabetes

Identifiers

PMID32687239
PMCPMC8444996
OpenAlexW3043728306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.