Relationship between diabetes diet-related quality of life and dietary fiber intake among people with type 2 diabetes: a cross-sectional study.

Diet therapy is one of the most important treatments for people with type 2 diabetes (T2D). However, dietary restrictions due to diet therapy may reduce quality of life (QOL). This cross-sectional study aimed to investigate the association between diabetes diet-related QOL and dietary fiber intake in 238 people with T2D. The Diabetes Diet-related Quality of Life-Revised version (DDRQOL-9-R) and the brief-type self-administered diet history questionnaire were used to evaluate diabetes diet-related QOL and nutritional intake, respectively. Higher scores of each DDRQOL-9-R subscale means greater satisfaction with diet, perceived merits of diet therapy, and lower burden of diet therapy, which indicates good QOL. The median scores for perceived merits of diet therapy, satisfaction with diet, and burden of diet therapy were 58.3 [41.7-75.0], 75.0 [66.7-91.7], and 66.7 [50.0-75.0] points, respectively. HbA1c levels in people with high perceived merits of diet therapy (7.3 [6.7-7.8] vs. 7.5 [7.1-8.2] %, p = 0.007) and people with high satisfaction with diet (7.3 [6.8-7.8] vs. 7.5 [7.1-8.4] %, p = 0.010) were lower than those without. Dietary fiber intake was higher in people with high perceived merits of diet therapy (11.6 [8.8-16.7] vs. 10.0 [7.9-13.8] g/day, p = 0.010), high satisfaction with diet (11.4 [8.8-16.1] vs. 9.7 [7.8-13.2] g/day, p = 0.007), and low burden of diet therapy (11.8 [8.7-16.5] vs. 9.7 [7.8-12.6] g/day, p = 0.004) than in those without. Dietary fiber intake was related to perceived merits of diet therapy (Odds ratio [OR]1.07 [95%CI: 1.00-1.15], p = 0.049), burden of diet therapy (OR 0.90 [95%CI: 0.82-0.98], p = 0.022), and satisfaction with diet (OR 1.18 [95%CI: 1.09-1.27], p < 0.001) after adjusting for covariates. Dietary fiber intake is associated with diabetes diet-related QOL in people with T2D.

Associations between thyroid hormones and appendicular skeletal muscle index, and hand grip strength in people with diabetes: The KAMOGAWA-A study.

AIM: To assess the effects of thyroid hormones on appendicular skeletal muscle index (SMI) and hand grip strength (HGS) in people with diabetes. METHODS: This cross-sectional cohort included 1,135 participants with diabetes admitted to 3 hospitals in Japan. Multiple regression analysis was performed to determine the associations among thyroid hormone levels, SMI, and HGS. RESULTS: Of the 1,135 participants, 480 were female. Their median (interquartile range) age, body mass index, durations of diabetes, and glycated haemoglobin levels were 68 years, 24.3 kg/m2, 10 years, and 7.6 %, respectively. The median (interquartile range) SMI (kg/m2) and hand grip strength of the cohort were 7.1 kg/m2 and 28.2 kg, respectively. Positive correlations between FT3 and the FT3/FT4 ratio with SMI and HGS was observed after adjusting for covariates in males. A negative correlation was found between the FT3/FT4 ratio and sarcopenia as a result of low SMI and low HGS in the male participants but not in females (p for interaction = 0.02). CONCLUSIONS: FT3/FT4 ratios may impact skeletal muscles in people with diabetes-particularly in males. Assessments of FT3/FT4 ratios may represent key indicators of muscle mass and strength in males.

Reasons for Discontinuing Treatment with Sodium-Glucose Cotransporter 2 Inhibitors in Patients with Diabetes in Real-World Settings: The KAMOGAWA-A Study.

Sodium-glucose cotransporter 2 inhibitors (SGLT2is) are a class of antidiabetic agents known to exert cardioprotective, renoprotective, and hypoglycemic effects. However, these agents have been associated with adverse effects, such as genital infection, volume depletion, hypoglycemia, and diabetic ketoacidosis, resulting in drug discontinuation. Herein, we aimed to determine the reasons for discontinuing treatment with SGLT2is among Japanese patients with diabetes. This retrospective cohort study enrolled 766 patients with diabetes who had initiated SGLT2is between January 2014 and September 2021. The follow-up period was 2 years from the initiation of the SGLT2is. Overall, 97 patients (12.7%) discontinued the SGLT2is during the follow-up period. The most common reasons for discontinuing the SGLT2is were frequent urination (19.6%), followed by genital infection (11.3%), improved glycemic control (10.6%), and renal dysfunction (8.2%). A comparison of the characteristics between the continuation and the discontinuation group was conducted, excluding those who discontinued the SGLT2is because of improved glycemic control. The patients in the discontinuation group (68 [55-75] years) were older than those in the continuation group (64 [53-71] years; p = 0.003). Importantly, we found no significant association between diabetes duration, diabetic control, renal function, or complications of diabetes in both groups. This real-world study revealed that frequent urination was the most common reason underlying SGLT2i discontinuation among Japanese patients with diabetes. To avoid discontinuation, precautions against various factors that may cause frequent urination must be implemented.

Favorable Appendicular Skeletal Muscle Mass Changes in Older Patients With Type 2 Diabetes Receiving GLP-1 Receptor Agonist and Basal Insulin Co-Therapy.

Background And Aims: Maintaining appendicular skeletal muscle mass is important for maintaining the quality of life of elderly patients with type 2 diabetes. The possibility of GLP-1 receptor agonists for maintaining appendicular skeletal muscle mass has previously been reported. We investigated changes in appendicular skeletal muscle mass, measured by body impedance analysis, in elderly patients who were hospitalized for diabetes self-management education. Methods: The study design was a retrospective longitudinal analysis of the changes in appendicular skeletal muscle mass in hospitalized patients over the age of 70 years. The study subjects consisted of consequential patients who received GLP-1 receptor agonist and basal insulin co-therapy or received basal insulin therapy. Body impedance analysis was performed on the day after admission and on the ninth day of admission. All patients received standard diet therapy and standard group exercise therapy 3 times per week. Results: The study subjects consisted of 10 patients who received GLP-1 receptor agonist and basal insulin co-therapy (co-therapy group) and 10 patients who received basal insulin (insulin group). The mean change in appendicular skeletal muscle mass was 0.78 ± 0.7 kg in co-therapy group and -0.09 ± 0.8 kg in the insulin group. Conclusions: This retrospective observational study suggests the possibility of favorable effects of GLP-1 receptor agonist and basal insulin co-therapy for maintaining appendicular skeletal muscle mass during hospitalization for diabetes self-management education.

Relative low muscle mass and muscle strength is associated with the prevalence of metabolic syndrome in patients with type 2 diabetes.

This cross-sectional study investigated the association of metabolic syndrome (MetS) with sarcopenia defined by absolute low muscle mass (aLMM) and absolute low muscle strength (aLMS), or sarcopenia defined by relative low muscle mass (rLMM) and relative low muscle strength (rLMS). The cut-off values for men and women were as follows: aLMM, appendicular muscle mass in kg/height|2 was <7.0 kg/m|2 and <5.7 kg/m|2; rLMM, appendicular muscle mass/body weight ×100 was <28.64% and <24.12%; aLMS, handgrip strength was <28 kg and <18 kg; and rLMS, handgrip strength/body weight ×100 was 51.26% and 35.38%. Among 207 men and 164 women, 41.5% men and 57.3% women had MetS, 14.0% men and 6.1% women had sarcopenia as defined by aLMM and aLMS, and 14.0% men and 22.0% women had sarcopenia defined by rLMM and rLMS. Compared with non-sarcopenia, adjusted OR of sarcopenia defined by aLMM and aLMS for the prevalence of MetS was 0.79 (95% CI 0.38-1.67), whereas that of sarcopenia defined by rLMM and rLMS for the prevalence of MetS was 20.6 (95% CI 7.81-54.3). Sarcopenia defined by rLMM and rLMS was associated with the risk of prevalence of MetS, whereas sarcopenia defined by aLMM and aLMS was not.

The Association of Salt Intake and Non-alcoholic Fatty Liver Disease in People With Type 2 Diabetes: A Cross-Sectional Study.

Objectives: Non-alcoholic fatty liver disease (NAFLD), which has a close relationship with type 2 diabetes (T2D), is related to salt intake in the general population. In contrast, the relationship between salt intake and the presence of NAFLD in patients with T2D has not been clarified. Methods: Salt intake (g/day) was assessed using urinary sodium excretion, and a high salt intake was defined as an intake greater than the median amount of 9.5 g/day. Hepatic steatosis index (HSI) ≥ 36 points was used to diagnosed NAFLD. Odds ratios of high salt intake to the presence of NAFLD were evaluated by logistic regression analysis. Results: The frequency of NAFLD was 36.5% in 310 patients with T2D (66.7 ± 10.7 years old and 148 men). The patients with high salt intake had a higher body mass index (25.0 ± 4.0 vs. 23.4 ± 3.8 kg/m2, p < 0.001) than those with low salt intake. HSI in patients with high salt intake was higher than that in patients with low salt intake (36.2 ± 6.2 vs. 34.3 ± 5.5 points, p = 0.005). In addition, the presence of NALFD in patients with high salt intake was higher than that in patients with low salt intake (44.5% vs. 28.4%, p = 0.005). High salt intake was associated with the prevalence of NAFLD [adjusted odds ratio, 1.76 (95% confidence interval: 1.02-3.03), p = 0.043]. Conclusion: This cross-sectional study revealed that salt intake is related to the prevalence of NAFLD in patients with T2D.

Impact of Eating Speed on Muscle Mass in Older Patients With Type 2 Diabetes: A Prospective Study of KAMOGAWA-DM Cohort.

Background and Aims: Maintenance of muscle mass is important for sarcopenia prevention. However, the effect of eating speed, especially fast, normal, or slow speed, on muscle mass changes remains unclear. Therefore, the purpose of this prospective study was to investigate the effect of eating speed on muscle mass changes in patients with type 2 diabetes (T2DM). Methods: This study included 284 patients with T2DM. Based on a self-reported questionnaire, participants were classified into three groups: fast-, normal-, and slow-speed eating. Muscle mass was assessed using a multifrequency impedance body composition analyzer, and skeletal muscle mass (SMI) decrease (kg/m2/year) was defined as [baseline SMI (kg/m2)-follow-up SMI (kg/m2)] ÷ follow-up duration (year). The rate of SMI decrease (%) was defined as [SMI decrease (kg/m2/year) ÷ baseline SMI (kg/m2)] × 100. Results: The proportions of patients with fast-, normal-, and slow-speed eating were, respectively, 50.5%, 42.9%, and 6.6% among those aged <65 years and 40.4%, 38.3%, and 21.3% among those aged ≥65 years. In patients aged ≥65 years, the rate of SMI decrease in the normal (0.85 [95% confidence interval, CI: -0.66 to 2.35]) and slow (0.93 [95% CI -0.61 to 2.46]) speed eating groups was higher than that in the fast speed eating group (-1.08 [95% CI -2.52 to 0.36]). On the contrary, there was no difference in the rate of SMI decrease among the groups in patients aged <65 years. Compared with slow speed eating, the adjusted odds ratios of incident muscle loss [defined as rate of SMI decrease (%) ≥0.5%] due to fast- and normal-speed eating were 0.42 (95% CI 0.18 to 0.98) and 0.82 (95% CI 0.36 to 2.03), respectively. Conclusion: Slow-speed eating is associated with a higher risk of muscle mass loss in older patients with T2DM.

Relationship between serum creatinine to cystatin C ratio and subclinical atherosclerosis in patients with type 2 diabetes.

INTRODUCTION: Sarcopenia index (SI), calculated by (serum creatinine/cystatin C)×100, is reported to be associated with sarcopenia. Few studies reported the association between SI and subclinical atherosclerosis. We evaluated the association between SI and subclinical atherosclerosis, assessed by brachial-ankle pulse wave velocity (baPWV). RESEARCH DESIGN AND METHODS: One hundred seventy-four patients with type 2 diabetes were included in this cross-sectional study. The relationship between SI and baPWV was assessed by Pearson's correlation coefficient. To calculate area under the receiver operator characteristic (ROC) curve (AUC) of SI for the presence of subclinical atherosclerosis, which was defined as baPWV >1800 cm/s, ROC analysis was performed. Logistic regression analyses were performed to assess the effect of SI on the prevalence of subclinical atherosclerosis adjusting for covariates. RESULTS: Mean age, duration of diabetes, baPWV, and SI were 66.9 (10.1) years, 17.7 (11.6) years, 1802 (372) cm/s, and 77.6 (15.8), respectively. There was an association between SI and baPWV (men; r=-0.25, p=0.001, and women; r=-0.37, p=0.015). The optimal cut-off point of SI for the presence of subclinical atherosclerosis was 77.4 (sensitivity=0.72, specificity=0.58, p<0.001, AUC 0.66 (95% CI: 0.57 to 0.74)). In addition, SI was associated with the prevalence of subclinical atherosclerosis (adjusted OR 0.95, 95% CI: 0.91 to 0.99, p=0.015). CONCLUSIONS: SI is associated with the prevalence of subclinical atherosclerosis in patients with type 2 diabetes.

Dietary Fiber Intake Is Related to Skeletal Muscle Mass, Body Fat Mass, and Muscle-to-Fat Ratio Among People With Type 2 Diabetes: A Cross-Sectional Study.

Objectives: To investigate the relationship between dietary fiber intake and skeletal muscle mass, body fat mass, and muscle-to-fat ratio (MFR) among men and women with type 2 diabetes (T2D). Methods: This cross-sectional study involved 260 men and 200 women with T2D. Percent skeletal muscle mass (%) or percent body fat mass (%) was calculated as (appendicular muscle mass [kg] or body fat mass [kg]/body weight [kg]) × 100. MFR was calculated as appendicular muscle mass divided by body fat mass. Information about dietary fiber intake (g/day) was obtained from a brief-type self-administered diet history questionnaire. Results: Dietary fiber intake was correlated with percent body fat mass (r = -0.163, p = 0.021), percent skeletal muscle mass (r = 0.176, p = 0.013), and MFR (r = 0.157, p = 0.026) in women. However, dietary fiber intake was not correlated with percent body fat mass (r = -0.100, p = 0.108), percent skeletal muscle mass (r = 0.055, p = 0.376), and MFR (r = 0.065, p = 0.295) in men. After adjusting for covariates, dietary fiber intake was correlated with percent body fat mass (ß = 0.229, p = 0.009), percent skeletal muscle mass (ß = 0.364, p < 0.001), and MFR (ß = 0.245, p = 0.006) in women. Further, dietary fiber intake was related to percent skeletal muscle mass (ß = 0.221, p = 0.008) and tended to be correlated with percent body fat mass (ß = 0.148, p = 0.071) in men. Conclusion: Dietary fiber intake was correlated with skeletal muscle mass, body fat mass, and MFR among women with T2D.

Effect of Teriparatide on Bone Mineral Density and Trabecular Bone Score in Type 2 Diabetic Patients with Osteoporosis: A Retrospective Cohort Study.

The BMDs of the lumbar spine, whole femur, and femoral neck and TBS were measured. Change in BMD or TBS was defined as the BMD or TBS at follow-up, performed 1 year after baseline, minus baseline BMD or TBS. Results: This retrospective cohort study included 93 patients, of whom 52 received no medication, 26 received bisphosphonates, and 15 received weekly teriparatide. BMD of the lumbar spine increased in all three groups. There was no change in BMD of the whole femur and femoral neck in the no medication and bisphosphonates groups, whereas the BMD of the whole femur (from 0.73 (0.15) to 0.74 (0.15) g/cm2, p = 0.011) and femoral neck (from 0.59 (0.16) to 0.60 (0.16) g/cm2, p = 0.011) in the teriparatide group increased. The change in BMD of the femoral neck (no medication; -0.002 (0.034) g/cm2, bisphosphonates; -0.0001 (0.024) g/cm2, and teriparatide; 0.017 (0.022) g/cm2, p = 0.091) or TBS (no medication; -0.007 (0.051), bisphosphonates; -0.058 (0.258), and teriparatide; 0.021 (0.044), p = 0.191) in the teriparatide group tended to be higher than that in the other groups, although there was no statistically significant difference. Conclusions: Teriparatide increased the BMD of the femoral neck and TBS in osteoporosis patients with type 2 diabetes mellitus, compared to bisphosphonates and no medication.

Effects of probiotic Bifidobacterium bifidum G9-1 on the gastrointestinal symptoms of patients with type 2 diabetes mellitus treated with metformin: An open-label, single-arm, exploratory research trial.

AIMS/INTRODUCTION: Metformin is associated with the risk of gastrointestinal complications, and probiotic Bifidobacterium bifidum G9-1 (BBG9-1) can improve the symptoms of diarrhea. This study aimed to clarify the effects of probiotic BBG9-1 on the gastrointestinal symptoms of type 2 diabetes mellitus patients using metformin. MATERIALS AND METHODS: In this open-label single-arm exploratory study, 40 patients (mean age 64.0 ± 9.4 years) were given probiotic BBG9-1 for 10 weeks. Changes in the gastrointestinal symptom rating scale total score, which was the primary end-point, gastrointestinal symptom rating scale subscale scores, glycated hemoglobin levels and gut microbiota after the administration of probiotic BBG9-1 were evaluated by the Student's t-test. RESULTS: The gastrointestinal symptom rating scale total score significantly improved (from 2.02 ± 0.51 to 1.59 ± 0.43, change, -0.43 ± 0.49, P < 0.001). Furthermore, all gastrointestinal symptom rating scale subscale scores, including diarrhea (from 2.32 ± 1.14 to 1.89 ± 0.99, change, -0.42 ± 0.95, P = 0.007) and constipation (from 3.00 ± 1.16 to 2.20 ± 1.07, change, -0.80 ± 1.19, P < 0.001), scores also significantly improved. However, the glycated hemoglobin levels did not change (from 7.0 ± 0.7 to 7.0 ± 0.6%, change, 0.0 ± 0.4, P = 0.91). The relative abundance of the genus Sutterella decreased by the use of probiotic BBG9-1 (from 0.011 ± 0.009 to 0.008 ± 0.006, change, -0.003 ± 0.006, P = 0.002). CONCLUSIONS: Type 2 diabetes mellitus patients treated with metformin showed significant improvement in all gastrointestinal symptom rating scores after using probiotic BBG9-1 without changing the glucose control. This study showed the potential usefulness of probiotic BBG9-1 for improving gastrointestinal symptoms, including constipation and diarrhea, in type 2 diabetes mellitus patients treated with metformin.

Development of application to automatically calculate mean amplitude of glycaemic excursions using intermittently scanned continuous glucose monitoring data.

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.

Effect of coronavirus disease 2019 pandemic on the lifestyle and glycemic control in patients with type 2 diabetes: a cross-section and retrospective cohort study.

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 <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels.

Asymptomatic postprandial hypotension in patients with diabetes: The KAMOGAWA-HBP study.

AIMS/INTRODUCTION: Postprandial hypotension (PPH) refers to a decrease in systolic blood pressure by ≥20 or to <90 mmHg from baseline ≥100 mmHg within 2 h of a meal. Previous studies have reported an association between diabetes and PPH; however, the characteristics of PPH in patients with diabetes remain unclear. MATERIALS AND METHODS: We recruited patients with diabetes who regularly attended the diabetes outpatient clinic. Participants were instructed to carry out three sets of blood pressure measurements at six time points: just before and right after, and 30, 60, 90 and 120 min after their main meal of the day. Data on PPH symptoms were collected during an interview. To investigate the relationships between explanatory variables, PPH and associated symptoms, we carried out multiple logistic regression analyses. RESULTS: We analyzed data from 300 participants. There were 150 (50.0%) participants with PPH. Systolic blood pressure before a meal was significantly associated with PPH (odds ratio [OR] 1.56, 95% confidence interval [CI] 1.30-1.86, P < 0.001), after adjusting for covariates. Furthermore, age (OR 1.08, 95% CI 1.01-1.16, P = 0.027), hemoglobin A1c level (OR 2.39, 95% CI 1.01-5.64, P = 0.030) and coefficients of variation of R-R intervals (OR 0.79, 95% CI 0.65-0.97, P = 0.032) were significantly associated with asymptomatic PPH. CONCLUSIONS: Half of the present study outpatients with diabetes had PPH. High systolic blood pressure before a meal was significantly associated with the risk of PPH. Older adults and patients with higher levels of hemoglobin A1c or an autonomic dysfunction might have difficulties recognizing symptoms of PPH.

Effect of probiotics, Bifidobacterium bifidum G9-1, on gastrointestinal symptoms in patients with type 2 diabetes mellitus: study protocol for open-label, single-arm, exploratory research trial (Big STAR study).

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.

Liver Stiffness Is Associated With Progression of Albuminuria in Adults With Type 2 Diabetes: Nonalcoholic Fatty Disease Cohort Study.

OBJECTIVES: Previous studies have shown the association between liver fibrosis and albuminuria. However, the effect of liver fibrosis on change in albuminuria is unclear. Thus, we investigated the effect of liver fibrosis on change in albuminuria in patients with type 2 diabetes. METHODS: In this retrospective cohort study, we assessed 105 patients with type 2 diabetes concomitant with nonalcoholic fatty disease. A change in urinary albumin excretion (UAE) was defined as follows: change in UAE=(logarithm [UAE+1] at follow-up examination minus logarithm [UAE+1] at baseline examination) / follow-up duration (1 year in this study). Elastography was performed to assess controlled attenuation parameter (dB/m) and liver stiffness measurement (LSM; kPa) values. RESULTS: Mean (standard deviation) data were as follows: age, 63.3 (12.1) years; body mass index, 25.4 (4.3) kg/m2; controlled attenuation parameter, 273.1 (53.0) dB/m; and LSM, 6.2 (3.4) kPa. Median UAE value (interquartile range) was 16 (6 to 43) mg/g creatinine. LSM was associated with changes in UAE (r=0.27, p=0.005). Multiple regression analysis demonstrated that LSM was associated with change in UAE (ß=0.28, p=0.015) after adjusting for sex, age, duration of diabetes, smoking status, exercise habits, glycated hemoglobin, body mass index, estimated glomerular filtration rate, systolic blood pressure, logarithm (UAE+1) at baseline examination, use of renin‒angiotensin system inhibitors, new use of sodium glucose cotransporter-2 inhibitors and glucagon-like peptide-1 and controlled attenuation parameter. CONCLUSIONS: Liver stiffness is an independent risk factor for the progression of albuminuria in patients with type 2 diabetes.

Reduced dietary omega-3 fatty acids intake is associated with sarcopenia in elderly patients with type 2 diabetes: a cross-sectional study of KAMOGAWA-DM cohort study.

Omega-3 fatty acids intake is important to maintain muscle mass. However, the relationship between omega-3 fatty acids intake and sarcopenia in elderly patients with type 2 diabetes has been unclear. We used the brief-type self-administered diet history questionnaire for the assessment of habitual food and nutrient intake. Body composition of patients was evaluated using bioimpedance analysis. To investigate the effect of energy intake on the presence of sarcopenia, we performed logistic regression analyses. Among the patients, 45 patients (13.2%) were diagnosed as sarcopenia. Patients with sarcopenia were aged [74.2 (5.7) vs 71.4 (5.9) years, p = 0.003] and lower body mass index [21.2 (3.5) vs 24.3 (4.6) kg/m2, p<0.001] than those without. In addition, omega-3 fatty acids intake of patients with sarcopenia was lower than that without [2.6 (1.0) vs 3.0 (1.2) kcal/day, p = 0.046]. Omega-3 fatty acids intake was negatively associated with the presence of sarcopenia (odds ratio: 0.29, 95% confidence interval: 0.14-0.60, p<0.001) after adjusting for age, sex, exercise, smoking status, diabetes duration, hemoglobin A1c, energy intake, protein intake, fat intake and omega-3 fatty acids intake. Omega-3 fatty acids intake was negatively associated with the presence of sarcopenia in elderly patients with type 2 diabetes.

Intake of sucrose affects gut dysbiosis in patients with type 2 diabetes.

AIMS/INTRODUCTION: Gut dysbiosis is generally associated with type 2 diabetes mellitus. However, the effect of habitual dietary intake on gut dysbiosis in Japanese patients with type 2 diabetes mellitus has not yet been explicated. This study investigated whether alteration of the gut microbiota was influenced by dietary intake of sucrose in Japanese patients with type 2 diabetes mellitus. MATERIALS AND METHODS: In this cross-sectional study, 97 patients with type 2 diabetes mellitus and 97 healthy individuals were matched by age and sex, and then, fecal samples were obtained. Next-generation sequencing of the 16S ribosomal ribonucleic acid gene was carried out, and functional profiles for the gut microbiota were analyzed. We selected the top 30 gut microbial genera and top 20 functional profiles for the gut microbiota specified by the weighted average difference method. The association between gut microbial genera or functional profiles and habitual dietary intake was investigated by Spearman's rank correlation coefficient, and then, clustering analysis was carried out to clarify the impact of habitual dietary intake. RESULTS: The Actinobacteria phylum was highly abundant in patients with type 2 diabetes mellitus, whereas the Bacteroidetes phylum was less abundant. Diabetic-type gut microbes, specifically Bacteroides and Bifidobacterium, were altered by sucrose intake at the genus level. Furthermore, sucrose intake was associated with glycolysis/gluconeogenesis in the diabetic-type functional profiles of the gut microbiota. CONCLUSIONS: The gut microbiota and functional profiles for the gut microbiota in patients with type 2 diabetes mellitus were significantly different from those in healthy individuals. Furthermore, we showed that sucrose intake was closely associated with these differences.

A Pilot Study on the Effect of Anti-Thrombopoietin Antibody on Platelet Count in Patients with Type 2 Diabetes.

Thrombopoietin (THPO) is a circulatory cytokine that plays an important role in platelet production. The presence of anti-THPO antibody relates to thrombocytopenia and is rarely seen in hematopoietic and autoimmune diseases. To date, there had been no reports that focused on the anti-THPO antibody in patients with type 2 diabetes mellitus (T2DM). To evaluate prevalence of the anti-THPO antibody in patients with T2DM and the relationship between anti-THPO antibody and platelet count, a cross-sectional study was performed on 82 patients with T2DM. The anti-THPO antibody was measured by ELISA using preserved sera and detected in 13 patients. The average platelet count was significantly lower in patients with the anti-THPO antibody than in those without the anti-THPO antibody. Multivariate linear regression analyses showed a significant relationship between the anti-THPO antibody and platelet count, after adjusting for other variables. To our best knowledge, this was the first report on the effect of the anti-THPO antibody on platelet count in patients with T2DM. Further investigation is needed to validate the prevalence and pathological significance of the anti-THPO antibody in patients with T2DM.

Creatinine/(cystatin C × body weight) ratio is associated with skeletal muscle mass index.

We have previously reported that the creatinine (Cre) to cystatin C (CysC) ratio is associated with height-adjusted skeletal muscle mass index (SMI). However, weight-adjusted SMI is reported to be a more useful marker of insulin sensitivity than height-adjusted SMI. Thus, we hypothesized that the creatinine to (cystatin C × body weight [BW]) relationship (Cre/[CysC × BW]) might be associated with weight-adjusted SMI. In this cross-sectional study of 169 males and 132 females, a body composition analyzer was used and the weight-adjusted SMI was calculated as (absolute muscle mass [kg]/BW [kg]) × 100. The cut-off of low muscle mass was defined as weight-adjusted SMI <37.0% for males and <28.0% for females. The Cre/(CysC × BW) was correlated with weight-adjusted SMI in both males (r = 0.484, p < 0.001) and females (r = 0.538, p < 0.001). In addition, Cre/(CysC × BW) was associated with weight-adjusted SMI in both males (standardized ß = 0.493, p < 0.001) and females (standardized ß = 0.570, p < 0.001) after adjusting for covariates. According to the receiver operator characteristic (ROC) curve analysis, the optimal cut-off point of Cre/(CysC × BW) for low muscle mass was 0.0145 (area under the ROC curve [AUC] 0.756 [95% confidence interval {95% CI} 0.644-0.842], sensitivity = 0.96, specificity = 0.47, p < 0.001) in males and 0.0090 (AUC 0.976 [95% CI 0.894-0.995], sensitivity = 1.00, specificity = 0.93, p < 0.001) in females. There is a correlation between Cre/(CysC × BW) and weight-adjusted SMI. The Cre/(CysC × BW) could be a practical screening marker for low muscle mass.