An altered microbiota pattern precedes Type 2 diabetes mellitus development: From the CORDIOPREV study

被引：30

作者：

Vals-Delgado, Cristina ^{[1
,2
,3
]}

Alcala-Diaz, Juan F. ^{[1
,2
,3
]}

Molina-Abril, Helena ^{[4
]}

Roncero-Ramos, Irene ^{[1
,2
,3
]}

Caspers, Martien P. M. ^{[5
]}

Schuren, Frank H. J. ^{[5
]}

Van den Broek, Tim J. ^{[5
]}

Luque, Raul ^{[6
]}

Perez-Martinez, Pablo ^{[1
,2
,3
]}

Katsiki, Niki ^{[7
]}

Delgado-Lista, Javier ^{[1
,2
,3
]}

Ordovas, Jose M. ^{[8
,9
]}

van Ommen, Ben ^{[5
]}

Camargo, Antonio ^{[1
,2
,3
]}

Lopez-Miranda, Jose ^{[1
,2
,3
]}

机构：

[1] Reina Sofia Univ Hosp, Lipids & Atherosclerosis Unit, Internal Med Unit, Cordoba 14004, Spain

[2] Univ Cordoba, Maimonides Biomed Res Inst Cordoba IMIBIC, Reina Sofia Univ Hosp, Cordoba 14004, Spain

[3] Inst Salud Carlos III, CIBER Fisiopatol Obesidad & Nutr CIBEROBN, Madrid 28029, Spain

[4] Univ Seville, Dept Appl Math 1, Seville 41012, Spain

[5] Netherlands Inst Appl Sci TNO, Res Grp Microbiol & Syst Biol, NL-3704 HE Zeist, Netherlands

[6] Univ Cordoba, Dept Cell Biol Physiol & Immunol, Cordoba 14004, Spain

[7] Ahepa Univ Hosp, Diabet Ctr, Dept Internal Med 1, Div Endocrinol Metab, Thessaloniki 54621, Greece

[8] Tufts Univ, Nutr & Genom Lab, Human Nutr Res Ctr Aging, JM US Dept Agr, Boston, MA 02111 USA

[9] IMDEA Alimentac, Madrid, Spain

来源：

JOURNAL OF ADVANCED RESEARCH | 2022年 / 35卷

关键词：

Intestinal microbiota; Type 2 diabetes mellitus; Predictive model; Coronary heart disease; CORDIOPREV; GUT MICROBIOTA; INSULIN-RESISTANCE; INTESTINAL MICROBIOTA; SP-NOV; DIET; QUESTIONNAIRE; INTERVENTION; INDIVIDUALS; POPULATION; MECHANISMS;

D O I：

10.1016/j.jare.2021.05.001

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Introduction: A distinctive gut microbiome have been linked to type 2 diabetes mellitus (T2DM). Objectives: We aimed to evaluate whether gut microbiota composition, in addition to clinical biomarkers, could improve the prediction of new incident cases of diabetes in patients with coronary heart disease. Methods: All the patients from the CORDIOPREV (Clinical Trials.gov.Identifier: NCT00924937) study without T2DM at baseline were included (n = 462). Overall, 107 patients developed it after a median of 60 months. The gut microbiota composition was determined by 16S rRNA gene sequencing and predictive models were created using hold-out method. Results: A gut microbiota profile associated with T2DM development was determined through a microbiome-based predictive model. The addition of microbiome data to clinical parameters (variables included in FINDRISC risk score and the diabetes risk score of the American Diabetes Association, HDL, triglycerides and HbA1c) improved the prediction increasing the area under the curve from 0.632 to 0.946. Furthermore, a microbiome-based risk score including the ten most discriminant genera, was associated with the probability of develop T2DM. Conclusion: These results suggest that a microbiota profile is associated to the T2DM development. An integrate predictive model of microbiome and clinical data that can improve the prediction of T2DM is also proposed, if is validated in independent populations to prevent this disease. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of Cairo University.

引用

页码：99 / 108

页数：10