Relationship between Lipoprotein Lipase Derived from Subcutaneous Adipose Tissue and Cardio-Ankle Vascular Index in Japanese Patients with Severe Obesity.

INTRODUCTION: Cardio-ankle vascular index (CAVI) is an arterial stiffness index that correlates inversely with body mass index (BMI) and subcutaneous fat area. Lipoprotein lipase (LPL) that catalyzes the hydrolysis of serum triglycerides is produced mainly in adipocytes. Serum LPL mass reflects LPL expression in adipose tissue, and its changes correlate inversely with changes in CAVI. We hypothesized that LPL derived from subcutaneous adipose tissue (SAT) suppresses the progression of arteriosclerosis and examined the relationship of LPL gene expression in different adipose tissues and serum LPL mass with CAVI in Japanese patients with severe obesity undergoing laparoscopic sleeve gastrectomy (LSG). METHODS: This study was a single-center retrospective database analysis. Fifty Japanese patients who underwent LSG and had 1-year postoperative follow-up data were enrolled (mean age 47.5 years, baseline BMI 46.6 kg/m2, baseline HbA1c 6.7%). SAT and visceral adipose tissue (VAT) samples were obtained during LSG surgery. LPL gene expression was analyzed by real-time PCR. Serum LPL mass was measured by ELISA using a specific monoclonal antibody against LPL. RESULTS: At baseline, LPL mRNA expression in SAT correlated positively with serum LPL mass, but LPL mRNA expression in VAT did not. LPL mRNA expression in SAT was correlated, and serum LPL mass tended to correlate inversely with the number of metabolic syndrome symptoms, but LPL mRNA expression in VAT did not. LPL mRNA expression in SAT and CAVI tended to correlate inversely in the group with visceral-to-subcutaneous fat ratio of 0.4 or higher, which is considered metabolically severe. Serum LPL mass increased 1 year after LSG. Change in serum LPL mass at 1 year after LSG tended to be an independent factor inversely associated with change in CAVI. CONCLUSIONS: Serum LPL mass reflected LPL mRNA expression in SAT in Japanese patients with severe obesity, and LPL mRNA expression in SAT was associated with CAVI in patients with visceral obesity. The change in serum LPL mass after LSG tended to independently contribute inversely to the change in CAVI. This study suggests that LPL derived from SAT may suppress the progression of arteriosclerosis.

Once-weekly semaglutide administered after laparoscopic sleeve gastrectomy: Effects on body weight, glycemic control, and measured nutritional metrics in Japanese patients having both obesity and type 2 diabetes.

Background: Glucagon-like peptide (GLP)-1 analogue may be useful for controlling weight recurrence and diabetes relapse after bariatric surgery, but may also adversely affect the measured nutritional metrics. This study aimed to investigate the effect of treatment with once-weekly semaglutide after laparoscopic sleeve gastrectomy (LSG) in patients with type 2 diabetes (T2D). We also examined the effects of combined use with a low-energy, high-protein formula diet (FD). Methods: This study was a single-center retrospective database analysis. We enrolled 29 Japanese patients with T2D who underwent LSG, and more than 12 months later received semaglutide. The patients were divided retrospectively into a FD group (=6) and a conventional diet (CD) group (n = 23). Results: BMI and HbA1c decreased significantly by 10.7 kg/m2 and 1.1 %, respectively, 12 months after LSG, and decreased by an additional 1.6 kg/m2 and 0.6 % after 12-months of treatment with semaglutide. Decreases in serum albumin, vitamin B12 and zinc were observed only after semaglutide administration. A ratio of energy from protein, fat and carbohydrates changed from 13:31:56 before to 19:30:50 after LSG, and from 17:32:51 before to 15:29:56 after semaglutide. Skeletal muscle ratio, which is the ratio of skeletal muscle mass to body weight, increased after LSG, but did not change after semaglutide. FD group showed a significant increase in skeletal muscle mass per 1 % body weight compared to CD group during semaglutide treatment. Conclusion: Semaglutide after LSG in patients with obesity and T2D resulted in additional weight reduction and improved glycemic control, but worsened measured nutritional metrics. Administration of a low-energy, high protein formula diet may ameliorate adverse nutritional effects of semaglutide in patients with T2D after LSG. (Ethics Committee of Toho University Sakura Medical Center approval number S18061).

Preoperative Plasma Aldosterone Predicts Complete Remission of Type 2 Diabetes after Bariatric Surgery.

INTRODUCTION: Bariatric surgery (BS) has beneficial effects on body weight and type 2 diabetes. However, 44-52%, 20-40%, and 19-25% of patients with type 2 diabetes who undergo sleeve gastrectomy, sleeve gastrectomy with duodenal-jejunal bypass, and Roux-en-Y gastric bypass, respectively, show insufficient improvement 1 year after BS. It is thus important to predict the improvement in type 2 diabetes before BS. Many hormones are related to hyperglycemia. However, the relationship between hormones and improvement in type 2 diabetes after BS has not been studied. We aimed to evaluate the relationship between the improvement in type 2 diabetes and hormones in patients with obesity and type 2 diabetes who underwent BS. METHODS: We retrospectively reviewed 79 patients with obesity and type 2 diabetes who underwent BS, with a follow-up period of 12 months. We analyzed the relationship between some clinical parameters and complete remission (CR) of type 2 diabetes after BS. Patients were divided into two groups (type 2 diabetes CR and non-CR). Multiple regression analysis was performed to determine the parameters associated with type 2 diabetes resolution after BS. RESULTS: BS significantly improved body weight and glucose metabolism. Preoperative liver function, glycated hemoglobin (HbA1c), insulin secretion (homeostatic model assessment [HOMA]2-%B), renin activity, plasma aldosterone level, and duration of type 2 diabetes were significantly different between the CR and non-CR groups. Multiple regression analysis showed that preoperative HbA1c, HOMA2-%B, aldosterone concentration, and duration of type 2 diabetes were predictors of CR of type 2 diabetes after BS. Plasma aldosterone was the strongest predictor. DISCUSSION/CONCLUSION: Preoperative plasma aldosterone levels were related to the CR of type 2 diabetes after BS. Measuring plasma aldosterone levels preoperatively is useful for predicting the CR of type 2 diabetes after BS.

Rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) therapy increases carotid intima-media thickness and plaque score with von Willebrand factor activity elevation in patients with malignant lymphoma.

An increased risk for atherosclerosis has been noted in cancer survivors; however, studies that focus on the risk of atherosclerosis in patients treated with chemotherapy are scarce. Therefore, we evaluated 32 patients who received rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone (R-CHOP) therapy for B-cell malignant lymphoma by analysing the changes in atherosclerosis. Just before each treatment course, plasma levels of von Willebrand Factor (vWF) activity were evaluated, and carotid ultrasonography was performed at baseline and after the final treatment. Throughout the follow-up period, plasma vWF levels showed significantly transient increased by approximately 20%-40%. Both mean carotid intima-media thickness (IMT) and plaque score (PS) significantly increased during the 36.6 ± 26.0 weeks of observation (mean IMT: 0.724 ± 0.118 to 0.767 ± 0.129 mm; PS: 4.31 ± 3.53 to 4.87 ± 3.88, P < 0.001). Our study suggests that R-CHOP therapy promotes atherosclerosis.

The Relationship between Serum Insulin-Like Growth Factor-1 Levels and Body Composition Changes after Sleeve Gastrectomy.

INTRODUCTION: We previously reported that preoperative serum insulin-like growth factor-1 (IGF-1) is a predictor of total weight loss percentage (%TWL) after laparoscopic sleeve gastrectomy (LSG). IGF-1 may suppress muscle loss after surgery. IGF-1 almost accurately reflects the growth hormone (GH) secretion status, and GH has lipolytic effects. Therefore, IGF-1 may influence both the maintenance of skeletal muscle and the reduction of adipose tissue after LSG. The identification of the relationship between preoperative serum IGF-1 and body composition changes after LSG can help in understanding the pathophysiology of obesity. METHODS: We retrospectively reviewed 72 patients with obesity who underwent LSG and were followed up for 12 months. We analyzed the relationship between preoperative serum IGF-1 levels and body composition changes after LSG. A multiple regression model was used. RESULTS: LSG led to a significant reduction in body weight. Both body fat mass and skeletal muscle mass decreased after LSG. Preoperative serum IGF-1 levels significantly correlated with %TWL, changes in skeletal muscle mass, and body fat mass after LSG. The multiple regression model showed that preoperative serum IGF-1 levels were related to decreased body fat mass and maintaining skeletal muscle mass after LSG. DISCUSSION/CONCLUSION: Preoperative IGF-1 measurement helps predict not only successful weight loss but also decreases body fat mass and maintains skeletal muscle mass after LSG.

Effect of Conventional Medical Therapy or Laparoscopic Sleeve Gastrectomy on Urinary Albumin in Japanese Subjects with Severe Obesity: An Observational Study.

INTRODUCTION: In patients with severe obesity, albuminuria can be improved by both conventional medical therapy and bariatric surgery. The purpose of this study was to compare the impact of weight loss achieved through conventional medical therapy or laparoscopic sleeve gastrectomy (LSG) on albuminuria in Japanese subjects with severe obesity and identify the factors involved. METHODS: We retrospectively evaluated the clinical characteristics including the urinary albumin/creatinine ratio (UACR) of 340 consecutive subjects with a body mass index ≥35 who received LSG (n = 242) or medical therapy (n = 98) between 2010 and 2018 and were followed for at least 12 months. RESULTS: The baseline of the UACR was not different between the 2 groups. At the 12-month follow-up, total weight loss (TWL) and decreases in glycosylated hemoglobin (HbA1c) and loge UACR were greater in the LSG group than in the medical therapy group (body weight; -35.7 kg vs. -8.0 kg, p < 0.001, HbA1c; -1.4% vs. -0.7%, p < 0.001, loge UACR; -0.3 vs. 0.9, p < 0.001). The rate of complete remission of diabetes was significantly higher in the LSG group than in the medical therapy group. At 12 and 36 months (n = 111 in the medical therapy group, n = 56 in the LSG group at 36 months), loge UACR increased in the medical therapy group, while it remained unchanged or decreased in the LSG group. In subjects with microalbuminuria and macroalbuminuria, changes in the loge UACR correlated with percent total body weight loss (%TWL) in both groups at 12 months. Percent TWL contributed independently to the change in the loge UACR, irrespective of whether LSG was performed. In receiver-operating characteristic analysis, a weight loss of 7.8% predicted a decrease in the UACR (∆UACR <0 at 12 months). CONCLUSION: Our analysis suggests that albuminuria may increase over time if only medical therapy is continued. To improve albuminuria, weight loss may be more important than whether LSG is performed.

Decreased Triglyceride and Increased Serum Lipoprotein Lipase Levels Are Correlated to Increased High-Density Lipoprotein-Cholesterol Levels after Laparoscopic Sleeve Gastrectomy.

INTRODUCTION: Laparoscopic sleeve gastrectomy (LSG) significantly increases high-density lipoprotein cholesterol (HDL-C) and lipoprotein lipase (LPL) in pre-heparin serum (pre-heparin LPL levels). LPL is a regulator of serum triglyceride (TG) and HDL-C production; this may be the mechanism for HDL-C increase after LSG. This study aimed to elucidate the mechanism of increase in HDL-C levels by examining the relationship between changes in serum HDL-C levels and LPL after LSG. METHODS: We retrospectively reviewed 104 obese patients, who underwent LSG and were followed up for 12 months. We analyzed the relationship between changes in serum HDL-C levels and various clinical parameters after LSG. RESULTS: A significant decrease was observed in the patients' BMI and serum TG levels after LSG. Conversely, HDL-C levels and pre-heparin LPL levels were significantly increased after LSG. Simple linear regression showed that changes in HDL-C levels were significantly correlated with total weight loss percentage, change in TG levels, abdominal fat areas, and pre-heparin LPL levels. Additionally, the multiple regression model revealed that a decrease in TG levels and an increase in pre-heparin LPL levels were correlated with increased HDL-C levels after LSG. DISCUSSION/CONCLUSION: These results show that a decrease in TG levels and an increase in LPL are mechanisms for increased HDL-C levels after LSG.

Genomic prediction modeling of soybean biomass using UAV-based remote sensing and longitudinal model parameters.

The application of remote sensing in plant breeding can provide rich information about the growth processes of plants, which leads to better understanding concerning crop yield. It has been shown that traits measured by remote sensing were also beneficial for genomic prediction (GP) because the inclusion of remote sensing data in multitrait models improved prediction accuracies of target traits. However, the present multitrait GP model cannot incorporate high-dimensional remote sensing data due to the difficulty in the estimation of a covariance matrix among the traits, which leads to failure in improving its prediction accuracy. In this study, we focused on growth models to express growth patterns using remote sensing data with a few parameters and investigated whether a multitrait GP model using these parameters could derive better prediction accuracy of soybean [Glycine max (L.) Merr.] biomass. A total of 198 genotypes of soybean germplasm were cultivated in experimental fields, and longitudinal changes of their canopy height and area were measured continuously via remote sensing with an unmanned aerial vehicle. Growth parameters were estimated by applying simple growth models and incorporated into the GP of biomass. By evaluating heritability and correlation, we showed that the estimated growth parameters appropriately represented the observed growth curves. Also, the use of these growth parameters in the multitrait GP model contributed to successful biomass prediction. We conclude that the growth models could describe the genetic variation of soybean growth curves based on several growth parameters. These dimension-reduction growth models will be indispensable for extracting useful information from remote sensing data and using this data in GP and plant breeding.

Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.

Profiling elemental contents in wheat grains and clarifying the underlying genetic systems are important for the breeding of biofortified crops. Our objective was to evaluate the genetic potential of 269 Afghan wheat landraces for increasing elemental contents in wheat cultivars. The contents of three major (Mg, K, and P) and three minor (Mn, Fe, and Zn) elements in wheat grains were measured by energy dispersive X-ray fluorescence spectrometry. Large variations in elemental contents were observed among landraces. Marker-based heritability estimates were low to moderate, suggesting that the elemental contents are complex quantitative traits. Genetic correlations between two locations (Japan and Afghanistan) and among the six elements were estimated using a multi-response Bayesian linear mixed model. Low-to-moderate genetic correlations were observed among major elements and among minor elements respectively, but not between major and minor elements. A single-response genome-wide association study detected only one significant marker, which was associated with Zn, suggesting it will be difficult to increase the elemental contents of wheat by conventional marker-assisted selection. Genomic predictions for major elemental contents were moderately or highly accurate, whereas those for minor elements were mostly low or moderate. Our results indicate genomic selection may be useful for the genetic improvement of elemental contents in wheat.