Relation among hypertriglyceridaemia, cardiometabolic disease, and hereditary factors-design and rationale of the Stockholm hyperTRIglyceridaemia REGister study.

Aims: Hypertriglyceridaemia (hTG) is associated with atherosclerotic cardiovascular disease, pancreatitis, and non-alcoholic fatty liver disease (NAFLD) in large population-based studies. The understanding of the impact of hereditary hTG and cardiometabolic disease status on the development of hTG and its associated cardiometabolic outcomes is more limited. We aimed to establish a multigenerational cohort to enable studies of the relationship between hTG, cardiometabolic disease and hereditary factors. Methods and results: The population-based observational Stockholm hyperTRIglyceridaemia REGister (STRIREG) study includes 1 460 184 index individuals who have measured plasma triglycerides in the clinical routine in Region Stockholm, Sweden, between 1 January 2000 and 31 December 2021. The laboratory measurements also included basic haematology, blood lipid panel, liver function tests, and HbA1c. Using the Swedish Multi-Generation register, 2 147 635 parents and siblings to the indexes were identified to form the complete study cohort. Laboratory data from participants were combined with data from several national registers that provided information on the cause of death, medical diagnoses, dispensed medicines, and socioeconomic factors including country of birth, education level, and marital status. Conclusion: The multi-generational longitudinal STRIREG cohort provides a unique opportunity to investigate different aspects of hTG as well as heredity for other metabolic diseases. Important outcome measures include mortality, cardiovascular mortality, major cardiovascular events, development of incident diabetes, and NAFLD. The STRIREG study will provide a deeper understanding of the impact of hereditary factors and associated cardiometabolic complications.

Metabolic Impact of Body Fat Percentage Independent of Body Mass Index in Women with Obesity Remission After Gastric Bypass.

BACKGROUND/OBJECTIVE: Body mass index (BMI) is central when evaluating treatment effect after gastric bypass. The metabolic impact of BMI-independent differences in body fat percentage (BF%) after gastric bypass is not fully understood. We compared metabolic and adipose tissue characteristics in women with high versus low BF% independent of BMI after obesity remission following gastric bypass. SUBJECTS/METHODS: A cohort of 215 women was included at baseline. A total of 166 women were re-examined 2 years after gastric bypass, whereof 130 had obesity remission (BMI < 30 kg/m2). Anthropometric parameters, blood pressure, and lipids were measured. Total and regional body fat mass was determined by dual-energy X-ray absorptiometry. Insulin sensitivity was assessed by homeostasis model assessment of insulin resistance (HOMA-IR) and hyperinsulinemic euglycemic clamp (M value). Adipocyte size and number were determined. RESULTS: Of the 130 women with obesity remission, 64 had BF% ≥ 35 and 65 < 35. Independent of BMI, high BF% were associated with higher HOMA-IR (P = 0.021), lower M value (P = 0.0046), higher triglycerides (P = 0.013), higher visceral/total and android/gynoid fat mass ratios (P = 0.0032 and 0.0003 respectively), and larger subcutaneous fat cell volume (P < 0.0001) 2 years after gastric bypass. No differences in anthropometric measures, glucose, blood pressure, or fat cell number were observed. CONCLUSIONS: Independent of BMI, patients with higher BF% displayed lower insulin sensitivity, higher triglyceride levels, central fat distribution, and larger subcutaneous adipocytes 2 years after gastric bypass. Thus, determination of BF% provides additional information of metabolic characteristics at follow-up of non-obese patients after gastric bypass.

Body fat mass and distribution as predictors of metabolic outcome and weight loss after Roux-en-Y gastric bypass.

BACKGROUND: Bariatric surgery such as Roux-en-Y gastric bypass (RYGB) remains the most effective treatment of obesity and associated co-morbidities. Body fat distribution associates with metabolic function. OBJECTIVE: To investigate if preoperative body fat mass and distribution measured by dual-energy x-ray absorptiometry (DXA) predict weight loss and metabolic outcome after RYGB, and to compare predictive value of DXA with simple anthropometric measures. SETTING: Four Swedish hospitals within the Stockholm area. METHODS: Two hundred fifteen women scheduled for RYGB were included. Evaluations before and 2 years after RYGB included determination of insulin sensitivity by the homeostatic model assessment of insulin resistance, blood pressure, plasma lipids, and anthropometric measures, such as waist-to-hip-ratio and fat percentage estimated by formula. Body fat mass and distribution were determined by DXA. RESULTS: Follow-up rate was 77.2% (n = 166). All clinical, anthropometric, and DXA measures were improved/reduced postsurgery (all P<.0001). Android/gynoid fat mass ratio and waist-to-hip-ratio predicted improved homeostatic model assessment of insulin resistance (P = .0028 and .0014), independently of body mass index and age. Body fat percentage, measured by DXA or estimated by formula, predicted percent weight loss (P<.0001 and .0083). Body mass index predicted percent weight loss and percent excess body mass index lost (P = .0022 and<.0001). DXA and anthropometric measures performed equally as predictors, except for DXA measured fat percentage that was slightly better than formula estimated. CONCLUSION: DXA provided predictive values similar to those by basic anthropometric measures, suggesting a limited additional value of preoperative DXA to predict metabolic improvement and weight loss after RYGB in women.

Long-Term Improvement in Aortic Pulse Wave Velocity After Weight Loss Can Be Predicted by White Adipose Tissue Factors.

BACKGROUND: Arterial stiffness, measured by pulse wave velocity (PWV), is linked to obesity, cardiovascular disease, and all-cause mortality. Short-term weight loss improves PWV, but the long-term effects are unknown. We investigated the effect of pronounced long-term weight loss on PWV and whether anthropometric/metabolic parameters and/or white adipose tissue (WAT) phenotype could predict this change in PWV. METHODS: Eighty-two obese subjects were examined before and 2 years after Roux-en-Y gastric bypass. Analyses included anthropometrics, routine clinical chemistry, and hyperinsulinemic-euglycemic clamp. Arterial stiffness was measured as aortic PWV (aPWV) using the Arteriograph device. WAT mass and distribution were assessed by dual-X-ray absorptiometry. Baseline visceral and subcutaneous WAT samples were obtained to measure adipocyte cell size. Transcriptomic profiling of subcutaneous WAT was performed in a subset of subjects (n = 30). RESULTS: At the 2-year follow-up, there were significant decreases in body mass index (39.4 ± 3.5 kg/m2 vs. 26.6 ± 3.4 kg/m2; P < 0.0001) and aPWV (7.8 ± 1.5 m/s vs. 7.2 ± 1.4 m/s; P = 0.006). Multiple regression analyses showed that baseline subcutaneous adipocyte volume was associated with a reduction in aPWV (P = 0.014), after adjusting for confounders. Expression analyses of 52 genes implicated in arterial stiffness showed that only one, COL4A1, independently predicted improvements in aPWV after adjusting for confounders (P = 0.006). CONCLUSIONS: Bariatric surgery leads to long-term reduction in aPWV. This improvement can be independently predicted by subcutaneous adipocyte volume and WAT COL4A1 expression, which suggests that subcutaneous WAT has a role in regulating aPWV. CLINICAL TRIALS REGISTRATION: Trial Number NCT01727245 (clinicaltrials.gov).

Omentectomy in Addition to Bariatric Surgery-a 5-Year Follow-up.

AIM: Omentectomy in addition to bariatric surgery has been suggested to improve metabolic outcome but short-term (6-24 months) studies have refuted this notion. We investigated whether there was any long-term impact of omentectomy. METHODS: Forty-nine obese women underwent gastric bypass surgery and were randomly assigned to omentectomy (n = 26) or not (n = 23). They were re-examined after 5 years including dual-energy X-ray absorptiometry for body composition, blood pressure and blood sampling. RESULTS: There were no significant differences between the two groups at baseline (p = 0.07-0.93) or 5 years post-operatively (p = 0.15-0.93) regarding weight, BMI, body composition, HOMA-IR, plasma cholesterol, HDL cholesterol, or triglycerides. CONCLUSION: In agreement with previous shorter studies, removal of the greater omentum in addition to GBP is not associated with metabolic benefits after long-term follow-up.

Long-term Protective Changes in Adipose Tissue After Gastric Bypass.

OBJECTIVE: Although long-term weight regain may occur after bariatric surgery, many patients are protected against relapse or development of type 2 diabetes. The study objective was to investigate whether this involves beneficial changes in adipose function. RESEARCH DESIGN AND METHODS: Forty-nine obese women were investigated before and 2 and 5 years after Roux-en-Y gastric bypass (RYGB). At the 5-year follow-up, 30 subjects were pairwise matched for BMI and age to 30 control women. Clinical parameters and fine-needle biopsies from subcutaneous abdominal adipose tissue were obtained; fat cell size and number, lipolysis, adiponectin, and proinflammatory protein secretion were determined. RESULTS: After 2 years, BMI decreased from 43 to 29 kg/m2, which was accompanied by improvements in insulin sensitivity (HOMA of insulin resistance [HOMA-IR]), increased circulating and adipose secreted adiponectin, and decreased adipose lipolysis and fat cell size but no change in adipocyte number. Between 2 and 5 years after surgery, BMI had increased to 31 kg/m2. This was associated with slightly increased HOMA-IR and unaltered circulating or adipose secreted adiponectin but higher secretion of tumor necrosis factor-α and increased lipolysis and number of fat cells but no change in adipocyte size. All these parameters, except lipolysis, were significantly more favorable compared with those in matched control subjects. Furthermore, the relationship between HOMA-IR and circulating adiponectin was less steep than in control subjects. CONCLUSIONS: RYGB improves long-term insulin sensitivity and adipose phenotypes beyond the control state despite weight regain. Postoperative beneficial alterations in adipose function may be involved in the diabetes-protective effect of bariatric surgery.

Adipose and Circulating CCL18 Levels Associate With Metabolic Risk Factors in Women.

CONTEXT: Cardiometabolic complications in obesity may be linked to white adipose tissue (WAT) dysfunction. Transcriptomic studies of Sc WAT have reported that CCL18, encoding the CC chemokine ligand 18 (CCL18), is increased in obesity/insulin resistance but its functional role is unknown. OBJECTIVE: Our objectives were to determine if CCL18 is secreted from Sc WAT and if secreted and/or serum levels associate with metabolic phenotypes. We also planned to define the primary cellular source and if CCL18 exerts effects on adipocytes. DESIGN: This is a cohort study. SETTING: The study took place in an outpatient academic clinic. PARTICIPANTS: A total of 130 obese women scheduled for bariatric surgery and 35 nonobese controls were included. METHODS: Insulin sensitivity was assessed by hyperinsulinemic euglycemic clamp or homeostasis model assessment. CCL18 was analyzed in serum/WAT incubates by ELISA. Effects of recombinant CCL18 was determined in cultures of primary human adipocytes and the monocyte cell line THP-1 differentiated into M0/M1/M2 macrophages. MAIN OUTCOME MEASURE: Association with metabolic risk factors was measured. RESULTS: CCL18 was secreted from WAT and the levels correlated positively with insulin resistance, Adult Treatment Panel III risk score and plasma triglycerides, independent of body mass index and better than other established adipocytokines. In 80 obese women, S-CCL18 levels were significantly higher in insulin resistant compared with insulin sensitive subjects. In WAT CCL18 mRNA was expressed in macrophages and correlated positively with immune-related genes, particularly those enriched in M2 macrophages. While CCL18 increased cyto-/chemokine expression in M0/M2-THP-1 cells, human adipocytes showed no responses in vitro. CONCLUSIONS: Circulating and WAT-secreted CCL18 correlates with insulin resistance and metabolic risk score. Because CCL18 is macrophage-specific and associates with adipose immune gene expression, it may constitute a marker of WAT inflammation.

Changes in subcutaneous fat cell volume and insulin sensitivity after weight loss.

OBJECTIVE: Large subcutaneous fat cells associate with insulin resistance and high risk of developing type 2 diabetes. We investigated if changes in fat cell volume and fat mass correlate with improvements in the metabolic risk profile after bariatric surgery in obese patients. RESEARCH DESIGN AND METHODS: Fat cell volume and number were measured in abdominal subcutaneous adipose tissue in 62 obese women before and 2 years after Roux-en-Y gastric bypass (RYGB). Regional body fat mass by dual-energy X-ray absorptiometry; insulin sensitivity by hyperinsulinemic-euglycemic clamp; and plasma glucose, insulin, and lipid profile were assessed. RESULTS: RYGB decreased body weight by 33%, which was accompanied by decreased adipocyte volume but not number. Fat mass in the measured regions decreased and all metabolic parameters were improved after RYGB (P < 0.0001). Whereas reduced subcutaneous fat cell size correlated strongly with improved insulin sensitivity (P = 0.0057), regional changes in fat mass did not, except for a weak correlation between changes in visceral fat mass and insulin sensitivity and triglycerides. The curve-linear relationship between fat cell size and fat mass was altered after weight loss (P = 0.03). CONCLUSIONS: After bariatric surgery in obese women, a reduction in subcutaneous fat cell volume associates more strongly with improvement of insulin sensitivity than fat mass reduction per se. An altered relationship between adipocyte size and fat mass may be important for improving insulin sensitivity after weight loss. Fat cell size reduction could constitute a target to improve insulin sensitivity.