scholarly journals Changes in the Gut Microbiota are Associated with Hypertension, Hyperlipidemia, and Type 2 Diabetes Mellitus in Japanese Subjects

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2996
Author(s):  
Tomohisa Takagi ◽  
Yuji Naito ◽  
Saori Kashiwagi ◽  
Kazuhiko Uchiyama ◽  
Katsura Mizushima ◽  
...  

The human gut microbiota is involved in host health and disease development. Therefore, lifestyle-related diseases such as hypertension (HT), hyperlipidemia (HL), and type 2 diabetes mellitus (T2D) may alter the composition of gut microbiota. Here, we investigated gut microbiota changes related to these diseases and their coexistence. This study involved 239 Japanese subjects, including healthy controls (HC). The fecal microbiota was analyzed through the isolation of bacterial genomic DNA obtained from fecal samples. Although there were no significant differences in the microbial structure between groups, there was a significant difference in the α-diversity between HC and the patients in whom two diseases coexisted. Moreover, Actinobacteria levels were significantly increased, whereas Bacteroidetes levels were significantly decreased in all disease groups. At the genus level, Bifidobacterium levels were significantly increased in the HL and T2D groups, as were those of Collinsella in all disease groups. In contrast, Alistipes levels were significantly lower in the HL group. Furthermore, metabolic enzyme families were significantly increased in all disease groups. Interestingly, the structure and function of the gut microbiota showed similar profiles in all the studied diseases. In conclusion, several changes in the structure of the gut microbiota are associated with T2D, HT, and HL in Japanese subjects.

2019 ◽  
Vol 64 (3) ◽  
pp. 231-238 ◽  
Author(s):  
Kazunori Adachi ◽  
Tomoya Sugiyama ◽  
Yoshiharu Yamaguchi ◽  
Yasuhiro Tamura ◽  
Shinya Izawa ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lili Zhang ◽  
Jinjin Chu ◽  
Wenhao Hao ◽  
Jiaojiao Zhang ◽  
Haibo Li ◽  
...  

Gut microbiota has attracted widespread attention due to its crucial role in disease pathophysiology, including type 2 diabetes mellitus (T2DM). Metabolites and bacterial components of gut microbiota affect the initiation and progression of T2DM by regulating inflammation, immunity, and metabolism. Short-chain fatty acids, secondary bile acid, imidazole propionate, branched-chain amino acids, and lipopolysaccharide are the main molecules related to T2DM. Many studies have investigated the role of gut microbiota in T2DM, particularly those butyrate-producing bacteria. Increasing evidence has demonstrated that fecal microbiota transplantation and probiotic capsules are useful strategies in preventing diabetes. In this review, we aim to elucidate the complex association between gut microbiota and T2DM inflammation, metabolism, and immune disorders, the underlying mechanisms, and translational applications of gut microbiota. This review will provide novel insight into developing individualized therapy for T2DM patients based on gut microbiota immunometabolism.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yonghuan Bian ◽  
Changhao Liu ◽  
Zhaojiang Fu

Abstract Background Our study attempted to observe the value of periodontal curettage combined with root planing on moderate-to-severe chronic periodontitis in patients with type 2 diabetes. Methods There involved 72 patients with type 2 diabetes mellitus complicated with moderate-to-severe chronic periodontitis who were diagnosed and treated in our hospital from January 2019 to December 2019. The patients enrolled were randomly divided into four groups using a computer-generated table: root planing and periodontal curettage combined group (n = 18), root planning group (n = 18), periodontal curettage group (n = 18) and cleansing group (n = 18). Blood glucose, plaque index (PI), gingival index (GI), probing depth (PD), attachment loss (AL), serum levels of inflammatory factors (Tumor Necrosis Factor Alpha [TNF- α] and hypersensitive C-reactive protein [hs-CRP]) were observed before and after treatment. The collecting dates were analyzed by the chi-square χ 2 test, repeated measurement analysis of variance, or t-test according to different data types and research objectives. Results Before treatment, there was no significant difference in PI, GI, PD and AL among the four groups (P> 0.05), while after 3-month treatment, the levels of PI, GI, PD and AL in the combined group were lower than those in the root planing group, periodontal curettage group and cleansing group, with both root planing group and periodontal curettage group significantly lower than cleansing group (P< 0.05). The fasting blood glucose, 2-h postprandial blood glucose and glycosylated hemoglobin in the combined group, root planing group, periodontal curettage group and cleansing group were significantly lower than those before treatment (P < 0.05). Before treatment, there was no significant difference in TNF- α and hs-CRP among the four groups (P> 0.05), but the levels of TNF- α and hs-CRP in the four groups decreased significantly after 3-month treatment (P< 0.05). The levels of TNF- α and hs-CRP in the combined group were lower than those in the root planing group, periodontal curettage group and cleansing group, and those in the root planing group and periodontal curettage group were significantly lower than those in the cleansing group (P< 0.05). Conclusion The combination therapy of periodontal curettage and root planing exerted beneficial effects on moderate-to-severe chronic periodontitis in patients with type 2 diabetes mellitus, which holds the potential to maintain the level of blood glucose and improve the quality of life of the patients.


Gut Pathogens ◽  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
A. L. Cunningham ◽  
J. W. Stephens ◽  
D. A. Harris

AbstractA strong and expanding evidence base supports the influence of gut microbiota in human metabolism. Altered glucose homeostasis is associated with altered gut microbiota, and is clearly associated with the development of type 2 diabetes mellitus (T2DM) and associated complications. Understanding the causal association between gut microbiota and metabolic risk has the potential role of identifying susceptible individuals to allow early targeted intervention.


2021 ◽  
Author(s):  
Rocío Mateo-Gallego ◽  
Isabel Moreno-Indias ◽  
Ana M. Bea ◽  
Lidia Sánchez-Alcoholado ◽  
Antonio J. Fumanal ◽  
...  

An alcohol-free beer including the substitution of regular carbohydrates for low doses of isomaltulose and maltodextrin within meals significantly impacts gut microbiota in diabetic subjects with overweight or obesity.


2021 ◽  
Vol 71 (1) ◽  
pp. 24-29
Author(s):  
Rachma Putri Nariswari ◽  
Gwenny Ichsan Prabowo ◽  
Hermina Novida ◽  
Nurina Hasanatuludhhiyah

Introduction: Type 2 diabetes mellitus is caused by decreased tissue sensitivity to insulin. The prevalence of diabetes in the world has almost doubled since 1980, from 4.7% to 8.5% in adult population. Early diagnosis and treatment aimed at normalizing glycemic control are very important. The objective of this study was to evaluate and compare glycemic control of metformin and glimepiride in monotherapy of type 2 diabetes mellitus patients at Islamic Jemursari Hospital Surabaya. Method: This was a retrospective observational study using secondary data (medical record), include glycemic control (RPG) before and two months after receiving therapy of outpatients’ type 2 diabetes mellitus with metformin or glimepiride therapy in 2018. 96 samples were found that fit the inclusion criteria. The data were analyzed by Mann-Whitney test. Result: Most patients were female, aged 50-69 years old, and dosage of metformin therapy 1500 mg/day or glimepiride therapy 2 mg/day. There was no significant difference (p>0.05) of glycemic control (RPG) of metformin compared to glimepiride therapies in type 2 diabetes mellitus patients at Islamic Jemursari Hospital Surabaya in 2018. Conclusion: Metformin and glimepiride were not significantly different in glycemic control (RPG). There were patients with RPG >200 mg/dl after two months of metformin or glimepiride therapy.  


2018 ◽  
Vol 33 (4) ◽  
pp. 175-185 ◽  
Author(s):  
Gerard Marshall Raj ◽  
Jayanthi Mathaiyan ◽  
Mukta Wyawahare ◽  
Rekha Priyadarshini

Abstract Background This work aimed to evaluate the influence of single nucleotide polymorphisms (SNPs) in the SLC47A1 (922-158G>A; rs2289669) and SLC47A2 (−130G>A; rs12943590) genes on the relative change in HbA1c in type 2 diabetes mellitus (T2DM) patients of South India who are taking metformin as monotherapy. It also aims to study the effects of these SNPs on the dose requirement of metformin for glycemic control and the adverse effects of metformin. Methods Diabetes patients on metformin monotherapy were recruited based on the eligibility criteria (n=105). DNA was extracted and genotyping was performed with a real-time PCR system using TaqMan® SNP genotyping assay method. The HbA1c levels were measured using Bio-Rad D-10™ Hemoglobin Analyzer. Results After adjusting for multiple comparisons (Bonferroni correction) the difference found in the glycemic response between the “GG” genotype and “AG/AA” genotype groups of the SLC47A2 gene was not significant (p=0.027; which was greater than the critical value of 0.025). Patients with “GG” genotype showed a 5.5% decrease in HbA1c from baseline compared to those with the “AG/AA” genotype (0.1% increase). The SNP in the SLC47A1 gene also did not influence the glycemic response to metformin (p=0.079). The median dose requirements based on the genotypes of the rs12943590 variant (p=0.357) or rs2289669 variant (p=0.580) were not significantly different. Similarly, there was no significant difference in the occurrence of adverse effects across the genotypes in both the SLC47A1 (p=0.615) and SLC47A2 (p=0.309) genes. Conclusions The clinical response to metformin was not associated with the SNPs in the SLC47A1 and SLC47A2 genes coding for the multidrug and toxin extrusion protein (MATE) transporters. Furthermore, the studied SNPs had no influence on the dose requirement or adverse effects of metformin.


Aging ◽  
2020 ◽  
Vol 12 (17) ◽  
pp. 17480-17502
Author(s):  
Lijing Zhang ◽  
Wen Zhou ◽  
Libin Zhan ◽  
Shenglin Hou ◽  
Chunyan Zhao ◽  
...  

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