Search

Background In this study, we investigated the mechanism by which excessive salt intake aggravates atherosclerosis by evaluating the changes in the gut microbiota, the expression of nutrient transporters in the gut, and the fatty acid composition in atherosclerosis. Results Sixteen-week-old male ApoE-deficient mice were either fed a high-fat, high-sucrose diet (HFHSD) or HFHSD, high-salt diet (HFHSD + 4%NaCl) for 8 weeks. The HFHSD + 4%NaCl group showed progression of atherosclerosis, and gut microbiota analysis revealed that this group had a reduced abundance of Allobaculum spp., Ruminococcaceae family, Lachnospiraceae family, and Alphaproteobacteria class compared to the HFHSD group. Furthermore, Cd36 gene expression levels were increased in the small intestine of the HFHSD + 4%NaCl group compared to those in the HFHSD group. The concentration of saturated fatty acids in serum and atherosclerotic lesions, was remarkably increased in the HFHSD + 4%NaCl group. Conclusions Dysbiosis induced by excessive salt intake increases the expression of long-chain fatty acid transporters in the intestinal tract, which increases the influx of saturated fatty acids into the body.

Aim We aimed to develop an application to calculate mean amplitude of glycaemic excursions (MAGE) automatically and to evaluate its accuracy. Materials and methods We named the application intermittently scanned continuous glucose monitoring (isCGM) calculator KAMOGAWA (Kyoto Auto MAGE Of Glucose cAlcutator With isCGM Application). The isCGM data from 20 patients, 10 with and 10 without diabetes, were used to compare manually calculated MAGE values with those calculated using KAMOGAWA. The rate of agreement for the MAGE values was calculated. Results Comparing the MAGE values calculated manually with those calculated using KAMOGAWA, the total mean rate of agreement was 81.6%. Nonmatching values were checked and it was found that the inconsistencies were all attributable to errors in manual calculations. After correcting errors in the manual calculation, the MAGE values matched to one decimal place for all data in the manual and KAMOGAWA calculations. Conclusions KAMOGAWA can help diabetologists use MAGE in clinical practice, which could contribute to improving glycaemic control in patients who use isCGM.

Metformin is associated with risks of gastrointestinal complications in patients with type 2 diabetes. In contrast, probiotic Bifidobacterium bifidum G9-1 (BBG9-1) could improve the symptoms of diarrhea caused by metformin in animal models. Thus, the primary outcome of this study will be the effect of the probiotic BBG9-1 on gastrointestinal symptoms, including diarrhea, in patients with type 2 diabetes who use metformin. This open-label, single-arm, and exploratory study will examine 40 patients with type 2 diabetes who use metformin and have symptoms of constipation or diarrhea. After the baseline examination (objective 1), patients will be administered probiotic BBG9-1 for 10 ± 2 weeks. Then, examinations will be performed (objective 2). The primary outcome will be changes in the symptoms of constipation or diarrhea from objective 1 to objective 2. Secondary outcomes will include changes in gut microbiota, and correlations between changes in fecal properties and biomarkers, including HbA1c level and body mass index. This is the first study to investigate the effect of probiotic BBG9-1 on the change in the symptom of constipation or diarrhea in patients with type 2 diabetes who use metformin.

Background: The aim of this study was to investigate the effect of the coronavirus disease (COVID-19) pandemic restrictions on the change in muscle mass in older patients with type 2 diabetes (T2D), who were not infected with COVID-19. Methods: In this retrospective cohort study, data were obtained from outpatients who underwent bioelectrical impedance analysis at least twice before April 2020 and at least once thereafter. Skeletal muscle mass index (SMI, kg/m2) was calculated as appendicular muscle mass (kg) divided by height squared (m2). Change in SMI (kg/m2/year) was calculated as (follow-up SMI—baseline SMI/follow-up period). The differences between the changes in SMI before and after the start of the COVID-19 pandemic were evaluated using paired t test. Results: This study recruited 56 patients, with a mean (SD) age of 75.2 (7.1) years. SMI changed from 6.7 (0.9) to 6.8 (0.9) kg/m2 before the COVID-19 pandemic, whereas SMI changed from 6.8 (0.9) to 6.6 (0.9) kg/m2 after the start of the COVID-19 pandemic. SMI decreased after the start of the COVID-19 pandemic compared with before the pandemic (−0.117 (0.240) vs. 0.005 (0.289) kg/m2/year, p = 0.049). This decrease was observed in men (−0.159 (0.257) vs. 0.031 (0.325) kg/m2/year, p = 0.038), patients with poor glycemic control (−0.170 (0.264) vs. 0.031 (0.285) kg/m2/year, p = 0.042), and those with a long diabetes duration (−0.153 (0.229) vs. 0.082 (0.291) kg/m2, p = 0.049). Conclusions: The COVID-19 pandemic restrictions caused muscle mass loss in older patents with T2D. Actions, including recommendation of exercise and adequate diet intake, are needed to prevent loss of muscle mass.

Background To investigate the acute effects of coronavirus disease (COVID-19) on lifestyle and metabolic parameters in patients with type 1 diabetes (T1D). Methods This retrospective cohort study included 34 patients who were admitted to our hospital from April 16 to May 1, 2020. Data on stress levels, sleep duration, exercise, total diet, snacks, and prepared food intake were obtained from the questionnaires. Changes in the values of hemoglobin A1c (HbA1c) and body weight from 3 months before the administration of the questionnaire to the time the study questionnaire was administered (pandemic year), and those from 15 months before to 12 months before the administration of the questionnaire (pre-pandemic year) were evaluated. Results Increased stress levels and decreased exercise volumes were observed in approximately 60% and 50% of participants during the COVID-19 pandemic, respectively. Decreased sleep duration was associated with changes in the body weight for 3 months during pandemic year (r = − 0.40, p = 0.043). Furthermore, compared with changes in HbA1c for 3 months during pre-pandemic year, changes in HbA1c during the pandemic year were worse (0.12% [0.33] % during pandemic year vs. − 0.09 [0.39] % during pre-pandemic year, p = 0.027). Conclusions Many patients experienced stress and exercised less due to the COVID-19 pandemic. Glycemic control in patients with T1D was worse than that in the previous year. Since the pandemic is currently ongoing, more attention should be paid to stress and lifestyle factor management in patients with T1D. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-021-00507-4.

To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = -0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged

Background: To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 1 diabetes mellites (T1DM). Methods: This retrospective cohort study induced 34 patients who received our hospital from April 16 to May 1, 2020. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. To evaluate the pandemic effect on the changes in the body weight or HbA1c levels, we evaluated those differences of the values at the time the questionnaire was administered to those noted 3 months ago and those differences of 12 months ago and 15 months ago using paired t test. Results: Increased stress levels and decreased exercise levels were observed in approximately 60%, and 50% of the participants, during the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.407, p = 0.021). Decreased sleep duration were associated with increased body weight (r = -0.40, p = 0.042). Furthermore, compared with 1 years ago, HbA1c was become worse (this year 0.12 [0.33] % in this year vs.-0.09 [0.39] % in 1 years ago, p = 0.027). Conclusions: Many patients experienced stress and decreased exercise due to the COVID-19 pandemic. The glycemic control of patients with T1DM was worse than last year. Given that the pandemic is ongoing, we should pay more attention to the management of stress and lifestyle factors in patients with T1DM.