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


Journal

Diabetes, obesity & metabolism
ISSN: 1463-1326
Titre abrégé: Diabetes Obes Metab
Pays: England
ID NLM: 100883645

Informations de publication

Date de publication:
11 2020
Historique:
received: 09 04 2020
revised: 06 07 2020
accepted: 16 07 2020
pubmed: 21 7 2020
medline: 25 6 2021
entrez: 21 7 2020
Statut: ppublish

Résumé

To 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). The 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. After 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. The 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.

Identifiants

pubmed: 32687239
doi: 10.1111/dom.14145
pmc: PMC8444996
mid: NIHMS1695381
doi:

Substances chimiques

Blood Glucose 0
Insulin 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1976-1984

Subventions

Organisme : USDA/ARS
ID : 58-3092-5-001
Pays : International
Organisme : NCATS NIH HHS
ID : UL1 TR001420
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001881
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK063491
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK109588
Pays : United States

Informations de copyright

© 2020 John Wiley & Sons Ltd.

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Auteurs

Elizabeth T Jensen (ET)

Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Alain G Bertoni (AG)

Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Osa L Crago (OL)

Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Kristi L Hoffman (KL)

Department of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.

Alexis C Wood (AC)

USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA.

Zorayr Arzumanyan (Z)

Department 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 Lam (LK)

Department of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.

Kathryn Roll (K)

Department of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.

Kevin Sandow (K)

Department of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation and Harbor-UCLA Medical Center, Torrance, California, USA.

Martin Wu (M)

Department of Biology, University of Virginia, Charlottesville, Virginia, USA.

Stephen S Rich (SS)

Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.

Jerome I Rotter (JI)

Department 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 Chen (YI)

Department 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 Petrosino (JF)

Department of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.

Mark O Goodarzi (MO)

Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

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Classifications MeSH