| Literature DB >> 32151028 |
Francisco Pino-de la Fuente1, Diego Nocetti2,3, Camila Sacristán1, Paulina Ruiz1, Julia Guerrero4,5, Gonzalo Jorquera6, Ernesto Uribe1, José Luis Bucarey7, Alejandra Espinosa1,7, Luis Puente8.
Abstract
A chronic high-fat diet (HFD) produces obesity, leading to pathological consequences in the liver and skeletal muscle. The fat in the liver leads to accumulation of a large number of intrahepatic lipid droplets (LD), which are susceptible to oxidation. Obesity also affects skeletal muscle, increasing LD and producing insulin signaling impairment. Physalis peruviana L. (PP) (Solanaceae) is rich in peruvioses and has high antioxidant activity. We assessed the ability of PP to enhance insulin-dependent glucose uptake in skeletal muscle and the capacity to prevent both inflammation and lipoperoxidation in the liver of diet-induced obese mice. Male C57BL/6J mice were divided into groups and fed for eight weeks: control diet (C; 10% fat, 20% protein, 70% carbohydrates); C + PP (300 mg/kg/day); HFD (60% fat, 20% protein, 20% carbohydrates); and HFD + PP. Results suggest that PP reduces the intracellular lipoperoxidation level and the size of LD in both isolated hepatocytes and skeletal muscle fibers. PP also promotes insulin-dependent skeletal muscle glucose uptake. In conclusion, daily consumption of 300 mg/kg of fresh pulp of PP could be a novel strategy to prevent the hepatic lipoperoxidation and insulin resistance induced by obesity.Entities:
Keywords: Cape gooseberry; insulin resistance; lipid droplets
Mesh:
Substances:
Year: 2020 PMID: 32151028 PMCID: PMC7146126 DOI: 10.3390/nu12030700
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Effect of dietary Physalis peruviana L. (PP) supplementation on weight and serum biomarkers.
| C (a) | C + PP (b) | HFD (c) | HFD + PP (d) | |
|---|---|---|---|---|
| Total Weight (g) | 22.7 ± 1.1 | 26.8 ± 0.8 | 38.6 ± 1.6 | 35.8 ± 3.4 |
| Visceral Fat Weight (mg) | 147.0 ± 0.5 | 156.0 ± 1.6 | 407.0 ± 7.0 | 214.0 ± 3.1 |
| Fasting glycemia (mg/dL) | 140.6 ± 22.4 | 127.3 ± 3.9 | 190.5 ± 7.2 | 168.1 ± 10.7 |
| Triacylglycerides (mg/dL) | 66.7 ± 8.9 | 46.0 ± 2.4 | 52.2 ± 4.1 | 55.3 ± 2.9 |
| Total cholesterol (mg/dL) | 94.5 ± 3.2 | 89.2 ± 3.8 | 135.2 ± 5.7 | 130.7 ± 9.6 |
| ALT (UI/l) | 53.0 ± 5.3 | 62.0 ± 12.3 | 52.0 ± 6.5 | 67.0 ± 7.4 |
C: control diet (a); C + PP: control diet supplemented with Physalis peruviana (PP) (b); HFD: high-fat diet (c); HFD + PP: high-fat diet supplemented with PP (d). Supplementation consisted in 300 mg/kg/day of PP pulp, over 8 weeks. All measurements were made after 4 h of fasting. Data are presented as mean ± SEM (n = 8 animals per group). ** p < 0.01; *** p < 0.005.
Figure 1Glucose homeostasis in mice treated with Physalis peruviana L. (PP). (A) Intraperitoneal glucose tolerance test (ipGTT) was performed after 4 h fasting by the administration of 2 g/kg glucose. (B) The area under the curve from A. (C) Fasting serum insulin concentration. (D) HOMA-IR was calculated [fasting glucose (mg/dL) × fasting insulin (µU/mL)]/405. Data are presented as mean ± SEM, * p < 0.05; ** p < 0.01; *** p < 0.005, (n = 8 animals per group). C: control diet; C + PP: control diet supplemented with PP; HFD: high-fat diet; HFD + PP: high-fat diet supplemented with PP.
Figure 2Physalis peruviana L. prevents lipid droplet (LD) oxidation in the liver from high-fat fed mice. (A) Liver weight. (B) Liver triacylglyceride content. (C) Number of LDs per hepatocyte. (D) The graph shows the median LDs diameter from isolated hepatocytes of each group. (E) Representative field showing the lipoperoxidation label (LPO) in green and neutral lipid stain (NL) in red for isolated hepatocytes after 60 min incubation with BODIPY C11. Images were acquired by confocal microscopy (600× magnification, scale bar = 50 µm). (F) The graph represents the %LPO after quantification of the fluorescent intensity of each LD using the FIJI program. C: control diet; C + PP: control diet supplemented with PP; HFD: high-fat diet; HFD + PP: high-fat diet supplemented with PP. Data are presented as mean ± SEM (n = 8 animals per group); * = p < 0.05; ** = p < 0.01.
Figure 3Physalis peruviana L. (PP) prevents pro-inflammatory markers expression in liver from mice fed with HFD. (A) Interleukin-1β (IL-1β), (B) Interleukin-6 (IL-6), (C) Tumor necrosis factor-α (TNF-α), and (D) Toll-like receptor 4 (TLR4) mRNA levels in liver samples were analyzed through qPCR. Liver sections obtained from mice fed with the high-fat diet (HFD) showed a high expression of pro-inflammatory markers associated with NAFLD compared to samples obtained from mice fed with the control diet (C) and with the control diet supplemented with PP (C + PP). PP extracts given to high-fat fed mice (HFD + PP) prevented pro-inflammatory marker expression in the liver. Data were normalized to fold change with respect to control conditions. P0 expression was used as housekeeping. Data are presented as mean ± SEM (n = 4 liver per group analyzed). * p < 0.05; ** p < 0.01; *** = p < 0.005.
Figure 4Insulin-dependent glucose uptake and lipoperoxidation levels in the adult skeletal muscle fibers from high-fat fed mice. (A) Representative images from cultured isolated skeletal muscle fiber both in basal condition and 20 min after insulin addition (magnification 400×, scale bar = 200 µm) (B) Quantification of fluorescence intensity of the 2-NBDG probe, (insulin-basal, 10–20 fibers per condition, n = 8 animals per group). (C) A panel of images showing the lipoperoxidation label (LPO) in green and neutral lipid stain (NL) in red from isolated skeletal fibers after 60 min incubation with BODIPY C11. Images were acquired by confocal microscopy (400× magnification). (D) The graph represents the %LPO after the quantification of the fluorescent intensity of whole fiber, using the FIJI program. C: control diet; C + PP: control diet supplemented with PP; HFD: high-fat diet; HFD + PP: high-fat diet supplemented with PP. Data are presented as mean ± SEM. * = p < 0.05; ** = p < 0.01.