Strength Training Protects High-Fat-Fed Ovariectomized Mice against Insulin Resistance and Hepatic Steatosis.
Jessica D M SantosJosé F T SilvaEster Dos S AlvesAlessandra G CruzAnne R M SantosFelipe N CamargoCarlos H Z TalaricoCarlos A A SilvaJoao Paulo CamporezPublished in: International journal of molecular sciences (2024)
Menopause is characterized by a reduction in sex hormones in women and is associated with metabolic changes, including fatty liver and insulin resistance. Lifestyle changes, including a balanced diet and physical exercise, are necessary to prevent these undesirable changes. Strength training (ST) has been widely used because of the muscle and metabolic benefits it provides. Our study aims to evaluate the effects of ST on hepatic steatosis and insulin resistance in ovariectomized mice fed a high-fat diet (HFD) divided into four groups as follows: simulated sedentary surgery (SHAM-SED), trained simulated surgery (SHAM-EXE), sedentary ovariectomy (OVX-SED), and trained ovariectomy (OVX-EXE). They were fed an HFD for 9 weeks. ST was performed thrice a week. ST efficiently reduced body weight and fat percentage and increased lean mass in OVX mice. Furthermore, ST reduced the accumulation of ectopic hepatic lipids, increased AMPK phosphorylation, and inhibited the de novo lipogenesis pathway. OVX-EXE mice also showed a better glycemic profile, associated with greater insulin sensitivity identified by the euglycemic-hyperinsulinemic clamp, and reduced markers of hepatic oxidative stress compared with sedentary animals. Our data support the idea that ST can be indicated as a non-pharmacological treatment approach to mitigate metabolic changes resulting from menopause.
Keyphrases
- high fat diet
- insulin resistance
- high fat diet induced
- adipose tissue
- physical activity
- skeletal muscle
- polycystic ovary syndrome
- metabolic syndrome
- body weight
- type diabetes
- oxidative stress
- minimally invasive
- coronary artery bypass
- postmenopausal women
- randomized controlled trial
- weight loss
- cardiovascular disease
- wild type
- resistance training
- electronic health record
- machine learning
- glycemic control
- ischemia reperfusion injury
- endoplasmic reticulum stress
- gestational age
- body composition
- percutaneous coronary intervention
- data analysis