Adiponectin, an adipocyte-derived circulating protein, accumulates in vasculature, heart, and skeletal muscles through interaction with a unique glycosylphosphatidylinositol-anchored cadherin, T-cadherin. Recent studies have demonstrated that such accumulation is essential for adiponectin-mediated cardiovascular protection. Here, we demonstrate that the adiponectin/T-cadherin system enhances exosome biogenesis and secretion, leading to the decrease of cellular ceramides. Adiponectin accumulated inside multivesicular bodies, the site of exosome generation, in cultured cells and in vivo aorta, and also in exosomes in conditioned media and in blood, together with T-cadherin. The systemic level of exosomes in blood was significantly affected by adiponectin or T-cadherin in vivo. Adiponectin increased exosome biogenesis from the cells, dependently on T-cadherin, but not on AdipoR1 or AdipoR2. Such enhancement of exosome release accompanied the reduction of cellular ceramides through ceramide efflux in exosomes. Consistently, the ceramide reduction by adiponectin was found in aortas of WT mice treated with angiotensin II, but not in T-cadherin–knockout mice. Our findings provide insights into adiponectin/T-cadherin–mediated organ protection through exosome biogenesis and secretion.
Visceral fat plays a central role in the development of metabolic syndrome and atherosclerotic cardiovascular diseases. The association of visceral fat accumulation with cardio-metabolic diseases has been reported, but the impact of visceral fat on the gene expression profile in peripheral blood cells remains to be determined. The aim of this study was to determine the effects of visceral fat area (VFA) and subcutaneous fat area (SFA) on the gene expression profile in peripheral blood cells of obese subjects. All 17 enrolled subjects were hospitalized to receive diet therapy for obesity (defined as body mass index, BMI, greater than 25 kg/m2). VFA and SFA were measured at the umbilical level by computed tomography (CT). Blood samples were subjected to gene expression profile analysis by using SurePrint G3 Human GE Microarray 8 × 60 k ver. 2.0. The correlation between various clinical parameters, including VFA and SFA, and peripheral blood gene expression levels was analyzed. Among the 17 subjects, 12 had normal glucose tolerance or borderline diabetes, and 5 were diagnosed with type 2 diabetes without medications [glycated hemoglobin (HbA1c); 6.3 ± 1.3%]. The mean BMI, VFA, and SFA were 30.0 ± 5.5 kg/m2, 177 ± 67 and 245 ± 131 cm2, respectively. Interestingly, VFA altered the expression of 1354 genes, including up-regulation of 307 and down-regulation of 1047, under the statistical environment that the parametric false discovery rate (FDR) was less than 0.1. However, no significant effects were noted for SFA or BMI. Gene ontology analysis showed higher prevalence of VFA-associated genes than that of SFA-associated genes, among the genes associated with inflammation, oxidative stress, immune response, lipid metabolism, and glucose metabolism. Accumulation of visceral fat, but not subcutaneous fat, has a significant impact on the gene expression profile in peripheral blood cells in obese Japanese subjects.
Background/Objectives: Understanding food preferences is important for weight management. However, methods for assessing food preferences are not well established, especially in Japan. This study aimed to examine detailed food preferences and their associations with actual food intake in non-obese and abdominal-obese subjects using a newly developed questionnaire tailored for the Japanese population. Methods: We developed the Japan Food Preference Questionnaire (JFPQ) to evaluate food preferences across four nutrient groups based on nutritional evidence: carbohydrate, fat, protein, and dietary fiber. A total of 38 non-obese and 30 abdominal-obese participants completed both the JFPQ and the Food Frequency Questionnaire (FFQ). Food preferences for each nutrient were compared between the two groups, and correlations between food preferences (assessed by the JFPQ) and food intake (assessed by the FFQ) were analyzed. Results: Compared with the non-obese group, the abdominal-obese group showed significantly greater preferences for carbohydrates, fat, and protein, with no significant difference in dietary fiber after adjusting for age and sex. Furthermore, in the abdominal-obese group, positive correlations were found between actual intake and preference for high-fat and high-carbohydrate foods. Conclusions: Our findings from this pilot study demonstrated that abdominal-obese individuals had greater preferences for fat and carbohydrates, which were linked to actual fat and carbohydrate intake and possibly contributed to the development of obesity.
Objective This study evaluated the lifestyle changes in patients with diabetes and their independent associations with glycemic and body weight control. In addition, the correlation between changes in mental health and lifestyles was evaluated. Methods This single-center cross-sectional study included 340 patients with diabetes who periodically visited our department. Changes in dietary habits, activities of daily living, and mental health before and during approximately six months after the onset of the coronavirus disease 2019 (COVID-19) pandemic were evaluated using a questionnaire, including the International Physical Activity Questionnaire-Short Form. Results Approximately 20%, 30%, and over 50% of patients had worsened dietary habits, decreased activities of daily living, and deteriorated mental health, respectively. A multiple regression analysis showed that irregular meal timing was significantly associated with change in HbA1c (β=0.328, p=0.001), and decreased walking time was significantly associated with changes in body weight (β=-0.245, p=0.025). The change in fear and anxiety was positively associated with changes in meal timing regularity (r=0.129, p=0.019) and carbohydrate consumption (r=0.127, p=0.021). Subsequently, the change in depressed mood was positively associated with changes in carbohydrate (r=0.142, p=0.010) and alcohol (r=0.161, p=0.037) consumption, and the change in psychological stress was positively associated with changes in carbohydrates (r=0.183, p=0.001) and snack (r=0.151, p=0.008) consumption as well as sedentary time (r=0.158, p=0.004). Conclusions The COVID-19 pandemic has had a considerable medium-term impact on the lifestyle and mental health of patients with diabetes. Lifestyle changes were associated with glycemic and body weight control, and mental health changes were associated with lifestyle changes. These findings may provide important information on diabetes care during the pandemic.
Obesity and type 2 diabetes mellitus (T2DM) are growing global health burdens, with dietary patterns, particularly high intake of carbohydrate- and fat-rich foods, contributing to disease progression. Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), is effective for both lowering blood glucose and reducing weight; however, its effects on food preferences for specific macronutrients remain unclear. In this retrospective observational study, we enrolled 32 obese subjects with T2DM who were hospitalized for glycemic control, including 20 who started semaglutide treatment (the Sema group) and 12 who did not receive GLP-1RA therapy. Eating behaviors were assessed using the Dietary Behavior Questionnaire from the Japan Society for the Study of Obesity (JASSO-DBQ), and food preferences for carbohydrates, fat, protein, and dietary fiber were quantitatively evaluated using the Japan Food Preference Questionnaire (JFPQ). Thirteen subjects in the Sema group and eight in the Non-GLP-1 group completed 6-months of follow-up. The Sema group showed significant decreases in HbA1c levels (–1.1%) and body weight (–5.7 kg), with fat loss exceeding skeletal muscle loss. Significant decreases were observed in eating behavior scores for “Eating Motives,” “Way of Eating,” and “Dietary Content.” Notably, semaglutide significantly reduced preferences for sweet and non-sweet carbohydrates and non-sweet fats, without changing protein or dietary fiber preferences. In particular, significant reductions were observed in preferences for Japanese staple foods (e.g., white rice and udon/soba) and high-fat snacks. The Non-GLP-1 group showed no significant changes in food preferences for any of the nutrient categories. In summary, semaglutide treatment in obese subjects with T2DM facilitated weight loss, in part by altering food preferences, which potentially contributed to its metabolic benefits.