ArticleEndocrine connections2016
Gut microbiota and diet in patients with different glucose tolerance.
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Article in Endocrine connections, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 5 of them syntheses that pooled it.
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105citing papers in PubMed, 5 pooled it
5.0field-weighted citation impact, top 4% of its field
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Who cites it
105 citing papers in PubMed, 5 syntheses or guidelines pooled it, 186 citations in OpenAlex.
- A systematic review on gut microbiota in type 2 diabetes mellitus.Frontiers in endocrinology · 2024Pooled it
- Characteristics of the gut microbiome in women with gestational diabetes mellitus: A systematic review.PloS one · 2022Pooled it
- Gut Microbiota Composition in Prediabetes and Newly Diagnosed Type 2 Diabetes: A Systematic Review of Observational Studies.Frontiers in cellular and infection microbiology · 2022Pooled it
- Microbiome alterations in women with gestational diabetes mellitus and their offspring: A systematic review.Frontiers in endocrinology · 2022Pooled it
- Role of gut microbiota in type 2 diabetes pathophysiology.EBioMedicine · 2020Pooled it
- Trial
- Trial
- Prospective Study Reveals Host Microbial Determinants of Clinical Response to Fecal Microbiota Transplant Therapy in Type 2 Diabetes Patients.Frontiers in cellular and infection microbiology · 2022Trial
- Exercise Training Modulates Gut Microbiota Profile and Improves Endotoxemia.Medicine and science in sports and exercise · 2020Trial
- Effect of Vitamin D Supplementation on Faecal Microbiota: A Randomised Clinical Trial.Nutrients · 2019Trial
- Effects of Regular Kefir Consumption on Gut Microbiota in Patients with Metabolic Syndrome: A Parallel-Group, Randomized, Controlled Study.Nutrients · 2019Trial
- Assessing diet-microbiome associations with linear models: variability across human studies.Gut microbes · 2026Review
- Intestinal Microbiota in Diabetes-Does the Pathomechanism and Diversity Depend on the Type of Diabetes and Coexisting Metabolic Disorders?Journal of clinical medicine · 2026Review
- Legume intake on gut microbiome and glycemia in type 2 diabetes management: narrative review.Frontiers in nutrition · 2026Review
- pH-sensor GPR68 plays a role in how dietary fibre lowers blood pressure in a preclinical model of hypertension.Clinical science (London, England : 1979) · 2025Article
- Systematic Review on the Importance of Gut Microbiota in the Regulation of Type 2 Diabetes Through Physical Activity and Exercise.Current issues in molecular biology · 2025Review
- In Search of Healthy Ageing: A Microbiome-Based Precision Nutrition Approach for Type 2 Diabetes Prevention.Nutrients · 2025Article
- Role of duodenal mucosal resurfacing in controlling diabetes in rats.World journal of diabetes · 2025Article
- Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.Frontiers in endocrinology · 2025Review
- Mechanisms of acupuncture in the treatment of type 2 diabetes mellitus: insights from the regulation of the gut microecology.Frontiers in immunology · 2025Review
45 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Lilit Egshatyan'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow lilit.egshatyan@yandex.ru.
Daria Kashtanova'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Anna Popenko'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Olga Tkacheva'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Alexander Tyakht'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Dmitry Alexeev'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Natalia Karamnova'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Elena Kostryukova'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow 'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian Fed
Vladislav Babenko'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Maria Vakhitova'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
Sergey Boytsov'Research of Age and Age-Associated Conditions' DepartmentNational Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian FederationLaboratory of BioinformaticsScientific Research Institute for Physical-Chemical Medicine, Building 1a, Malaya Pirogovskaya street, Moscow RF 119435, Russian FederationThe 'Russian Clinical Research Center for Gerontology'16, 1st Leonova Street, Moscow RF 192226, Russian Federation'Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System' DepartmentNational Research Centre for Preventive Medicine, bld. 10, Petroverigskiy Lane, MoscowMoscow Institute of Physics and TechnologyDolgoprudny, Institusky Lane, 9 Moscow, RF, 141700, Russian FederationNational Research Centre for Preventive Medicinebld. 10, Petroverigskiy Lane, Moscow.
National Research Center for Preventive Medicine · RUResearch Institute of Physical Chemical Medicine · RUMoscow Institute of Physics and Technology · RU
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 2 diabetes (T2D) is a serious disease. The gut microbiota (GM) has recently been identified as a new potential risk factor in addition to well-known diabetes risk factors. To investigate the GM composition in association with the dietary patterns in patients with different glucose tolerance, we analyzed 92 patients: with normal glucose tolerance (n=48), prediabetes (preD, n=24), and T2D (n=20). Metagenomic analysis was performed using 16S rRNA sequencing. The diet has been studied by a frequency method with a quantitative evaluation of food intake using a computer program. Microbiota in the samples was predominantly represented by Firmicutes, in a less degree by Bacteroidetes. Blautia was a dominant genus in all samples. The representation of Blautia, Serratia was lower in preD than in T2D patients, and even lower in those with normal glucose tolerance. After the clustering of the samples into groups according to the percentage of protein, fat, carbohydrates in the diet, the representation of the Bacteroides turned to be lower and Prevotella abundance turned to be higher in carbohydrate cluster. There were more patients with insulin resistance, T2D in the fat-protein cluster. Using the Calinski-Harabasz index identified the samples with more similar diets. It was discovered that half of the patients with a high-fat diet had normal tolerance, the others had T2D. The regression analysis showed that these T2D patients also had a higher representation of Blautia. Our study provides the further evidence concerning the structural modulation of the GM in the T2DM pathogenesis depending on the dietary patterns.
Indexed as
16S rRNAdietary patternsgut microbiotaimpaired glucose metabolisminsulin resistancetype 2 diabetes
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