| Literature DB >> 28567337 |
Marco G Alves1,2, Ângela Moreira1,3, Marta Guimarães4, Mário Nora4, Mario Sousa1,2,5, Pedro F Oliveira1,2,6, Mariana P Monteiro1,3,7.
Abstract
Adipose tissue (AT) is involved in dysmetabolism pathogenesis. Regional fat distribution and functioning may contribute to obesity-related metabolic disorders and adverse health outcomes. Specific fat depots are suggested to possess unique biological properties, but specific metabolic profiles of subcutaneous (SAT) and visceral adipose tissue (VAT) remain unknown. We aimed to characterize VAT and SAT glucose metabolism, and their correlation with body mass index (BMI). AT samples from patients (n = 12; F:M, 9:3) with a mean age of 46 years (26-83 years) and an average BMI of 29.6 kg/m2 (18-37 kg/m2) were used. VAT and SAT explants were obtained during elective laparoscopy, either cholecystectomy for uncomplicated cholelithiasis or gastric bypass for severe obesity. Explants were placed in insulin-free cell culture media and their metabolic profile was established by proton nuclear magnetic resonance. AT explants display a glucose and pyruvate consumption and acetate production that is region-dependent according to the patients BMI. In VAT, glucose consumption was positively correlated with BMI, while alanine and lactate production were negatively correlated with BMI, whereas in SAT the patients BMI did not affect AT secretome suggesting that increased BMI promotes a metabolic reprogramming of VAT towards de novo lipogenesis. This region-dependent metabolic reprogramming of AT associated with BMI was autonomous of insulin. This data, although preliminary, suggests that there is a BMI-related remodeling of glucose metabolism in VAT. Targeting this BMI-induced metabolic shift may represent a potential target to counteract unwanted consequences derived from visceral adiposity.Entities:
Keywords: 1H NMR, proton nuclear magnetic resonance; AT, adipose tissue; BMI, body mass index; Body mass index; De novo lipogenesis; FBS, fetal bovine serum; Insulin; Metabolism; SAT, subcutaneous adipose tissue; Subcutaneous adipose tissue; VAT, visceral adipose tissue; Visceral adipose tissue
Year: 2017 PMID: 28567337 PMCID: PMC5440253 DOI: 10.1016/j.bbacli.2017.05.001
Source DB: PubMed Journal: BBA Clin ISSN: 2214-6474
Serum biochemical profile of the subjects included in this study.
| Mean ± SEM | Min | Max | |
|---|---|---|---|
| Glycaemia | 100 ± 6 | 78 | 147 |
| Insulin | 10.0 ± 1.3 | 6.4 | 14.7 |
| Hb1AC | 5.6 ± 0.3 | 4.9 | 6.8 |
| HOMA-IR | 2.6 ± 0.5 | 1.6 | 4.9 |
| HOMA-β | 100 ± 16 | 58 | 171 |
| Total cholesterol | 199 ± 18 | 115 | 247 |
| HDL | 44 ± 4 | 31 | 59 |
| LDL | 133 ± 13 | 70 | 158 |
| VLDL | 27 ± 3 | 15 | 41 |
| Triglycerides | 123 ± 12 | 77 | 158 |
Legend: Min – minimum; Max – maximum. SEM – Standard Error of the Mean (n = 12).
Metabolite consumption (C) and production (P) by human adipose tissue explants of visceral and subcutaneous fat.
| Metabolites | Visceral | Subcutaneous |
|---|---|---|
| Glucose (C) | 246 ± 77 | 254 ± 63 |
| Pyruvate (C) | 12 ± 3 | 15 ± 3 |
| Alanine (P) | 5 ± 1 | 8 ± 2 |
| Acetate (P) | 19 ± 7 | 24 ± 7 |
| Lactate (P) | 59 ± 11 | 86 ± 13 |
Legend: (C) – consumption; (P) – production. Results are expressed as mean ± Standard Error of the Mean (n = 12 for each condition).
Correlation between glucose and pyruvate consumption (C) with the production (P) of alanine, acetate and lactate by human adipose tissue explants of visceral and subcutaneous fat.
| Visceral adipose tissue | Subcutaneous adipose tissue | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alanine (P) | Acetate (P) | Lactate (P) | Alanine (P) | Acetate (P) | Lactate (P) | |||||||
| R | P | R | P | R | P | R | P | R | P | R | P | |
| Glucose (C) | ↓ | NS | 0.639 | * | ↓ | NS | ↓ | NS | ↓ | NS | ↓ | NS |
| Pyruvate (C) | ↓ | NS | 0.948 | *** | ↓ | NS | ↓ | NS | 0.804 | ** | ↓ | NS |
Legend: R values are Pearson's correlation coefficient for: * P < 0.05; ** P < 0.005; *** P < 0.001. (C) – metabolite consumption; (P) – metabolite production; NS – non-significant.
Fig. 1Substrate consumption by cultured visceral (VAT) and subcutaneous (SAT) adipose tissue. The figure shows glucose and pyruvate consumption by VAT (panel A, C) and SAT (panel B, D) of patients (n = 12, F:M, 9:3) with an average age of 46.8 years (range 26–83 years, mean) and different body mass index (BMI). The association between metabolite consumption and BMI was evaluated by computing Pearson correlation coefficients (r) assuming Gaussian distribution and a confidence interval of 95%. All P values < 0.05 were considered statistically significant.
Fig. 2Substrate production by cultured visceral (VAT) and subcutaneous (SAT) adipose tissue. The figure shows acetate, alanine and lactate production by VAT (panels A, C, E) and SAT (panels B, D, F) of patients (n = 12, F:M, 9:3) with an average age of 46.8 years (range 26–83 years, mean) and different body mass index (BMI). The association between metabolite production and BMI was evaluated by computing Pearson correlation coefficients (r) assuming Gaussian distribution and a confidence interval of 95%. All P values < 0.05 were considered statistically significant.
Fig. 3Schematic representation of the studied metabolic pathways in adipose tissue explants, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). We focused on glucose metabolism independent from insulin stimuli. Our results show that tissue explants of VAT from subjects with higher BMI consumed more glucose and produced less metabolites directly derived from pyruvate (e.g. lactate and alanine) and maintained the same production of acetate. Thus, we suggest that with the increase of BMI, VAT reprograms glucose metabolism towards de novo lipogenesis. Thus, our results provide a preliminary evidence that increased BMI promotes an insulin-independent metabolic reprogramming of glucose metabolism in VAT that may be associated with increased de novo lipogenesis. (AATs-Aminoacid transporters; Ins-Dep GLUTs-Insulin dependent glucose transporters; Ins-Ind GLUTs-Insulin independent glucose transporters; MCTs-Monocarboxylic acid transporters; IR-Insulin receptors).