Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters

Database
Country/Region as subject
Language
Publication year range
1.
Nutrients ; 16(8)2024 Apr 09.
Article in English | MEDLINE | ID: mdl-38674796

ABSTRACT

Prediabetes is characterized by abnormal glycemic levels below the type 2 diabetes threshold, and effective control of blood glucose may prevent the progression to type 2 diabetes. While the association between the gut microbiota, glucose metabolism, and insulin resistance in diabetic patients has been established in previous studies, there is a lack of research regarding these aspects in prediabetic patients in Asia. We aim to investigate the composition of the gut microbiota in prediabetic patients and their differences compared to healthy individuals. In total, 57 prediabetic patients and 60 healthy adult individuals aged 18 to 65 years old were included in this study. Biochemistry data, fecal samples, and 3 days of food records were collected. Deoxyribonucleic acid extraction and next-generation sequencing via 16S ribosomal ribonucleic acid metagenomic sequencing were conducted to analyze the relationship between the gut microbiota and dietary habits. Prediabetic patients showed a lower microbial diversity than healthy individuals, with 9 bacterial genera being less abundant and 14 others more abundant. Prediabetic patients who consumed a low-carbohydrate (LC) diet exhibited higher diversity in the gut microbiota than those who consumed a high-carbohydrate diet. A higher abundance of Coprococcus was observed in the prediabetic patients on an LC diet. Compared to healthy individuals, the gut microbiota of prediabetic patients was significantly different, and adopting an LC diet with high dietary fiber consumption may positively impact the gut microbiota. Future studies should aim to understand the relationship between the gut microbiota and glycemic control in the Asian population.


Subject(s)
Feces , Gastrointestinal Microbiome , Prediabetic State , Humans , Prediabetic State/microbiology , Middle Aged , Adult , Male , Female , Feces/microbiology , Aged , Young Adult , Adolescent , RNA, Ribosomal, 16S/genetics , Blood Glucose/metabolism , Diabetes Mellitus, Type 2/microbiology , Bacteria/classification , Bacteria/genetics , Bacteria/isolation & purification , Dietary Fiber/administration & dosage
2.
Nutrients ; 16(12)2024 Jun 20.
Article in English | MEDLINE | ID: mdl-38931324

ABSTRACT

Global increases in metabolic disorders such as type 2 diabetes (T2D), especially within Asian populations, highlight the need for novel approaches to dietary intervention. The Tu Ora study previously evaluated the effects on metabolic health of including a nut product into the diet of a New Zealand cohort of Chinese participants with overweight and normoglycaemia or prediabetes through a 12-week randomised, parallel-group clinical trial. In this current study, we compared the impact of this higher-protein nut bar (HP-NB) versus a higher-carbohydrate cereal bar (HC-CB) on the faecal microbiome by employing both 16S rRNA gene amplicon and shotgun metagenomic sequencing of pre- and post-intervention pairs from 84 participants. Despite the higher fibre, protein, and unsaturated fat content of nuts, there was little difference between dietary groups in gut microbiome composition or functional potential, with the bacterial phylum Firmicutes dominating irrespective of diet. The lack of observed change suggests the dietary impact of the bars may have been insufficient to affect the gut microbiome. Manipulating the interplay between the diet, microbiome, and metabolic health may require a more substantial and/or prolonged dietary perturbation to generate an impactful modification of the gut ecosystem and its functional potential to aid in T2D risk reduction.


Subject(s)
Dietary Carbohydrates , Edible Grain , Gastrointestinal Microbiome , Nuts , Overweight , Prediabetic State , Humans , Prediabetic State/diet therapy , Prediabetic State/microbiology , Male , Overweight/microbiology , Female , Dietary Carbohydrates/administration & dosage , Middle Aged , New Zealand , Adult , Feces/microbiology , Asian People , China , RNA, Ribosomal, 16S/genetics , Diabetes Mellitus, Type 2/microbiology , Diet, High-Protein , Dietary Proteins/administration & dosage , East Asian People
3.
Sci Rep ; 14(1): 9678, 2024 04 27.
Article in English | MEDLINE | ID: mdl-38678119

ABSTRACT

Lifestyle modifications, metformin, and linagliptin reduce the incidence of type 2 diabetes (T2D) in people with prediabetes. The gut microbiota (GM) may enhance such interventions' efficacy. We determined the effect of linagliptin/metformin (LM) vs metformin (M) on GM composition and its relationship to insulin sensitivity (IS) and pancreatic ß-cell function (Pßf) in patients with prediabetes. A cross-sectional study was conducted at different times: basal, six, and twelve months in 167 Mexican adults with prediabetes. These treatments increased the abundance of GM SCFA-producing bacteria M (Fusicatenibacter and Blautia) and LM (Roseburia, Bifidobacterium, and [Eubacterium] hallii group). We performed a mediation analysis with structural equation models (SEM). In conclusion, M and LM therapies improve insulin sensitivity and Pßf in prediabetics. GM is partially associated with these improvements since the SEM models suggest a weak association between specific bacterial genera and improvements in IS and Pßf.


Subject(s)
Gastrointestinal Microbiome , Linagliptin , Metformin , Prediabetic State , Humans , Metformin/pharmacology , Metformin/therapeutic use , Gastrointestinal Microbiome/drug effects , Prediabetic State/drug therapy , Prediabetic State/microbiology , Male , Female , Middle Aged , Cross-Sectional Studies , Linagliptin/therapeutic use , Linagliptin/pharmacology , Hypoglycemic Agents/pharmacology , Hypoglycemic Agents/therapeutic use , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/microbiology , Diabetes Mellitus, Type 2/metabolism , Insulin Resistance , Adult , Insulin-Secreting Cells/drug effects , Insulin-Secreting Cells/metabolism , Aged
SELECTION OF CITATIONS
SEARCH DETAIL