1,114 findings · Metabolic adaptation
- Metabolic adaptationStrong
Initiation of protease inhibitor (PI) therapy in HIV-infected patients leads to significant increases in glucose (+9+/-3 mg/dl; p = .0136), insulin (+12.2+/-4.9 U/ml; p = .023), triglycerides (+53+/-17 mg/dl; p = .0069), and total and LDL cholesterol (+32+/-11 and +18+/-5 mg/dl; p = .0082 and .0026, respectively).
Healthcare providers should monitor glucose and lipid levels in HIV patients starting PI therapy due to potential metabolic changes.
Supports 2000 - Metabolic adaptationStrong
Changes in glucose and lipid metabolism induced by PI therapy occur without significant changes in weight or fat distribution.
Clinicians should be aware that metabolic changes can occur in HIV patients on PI therapy without changes in weight.
Supports 2000 - Metabolic adaptationStrong
Predisposing risk factors for antipsychotic-induced weight gain (AIWG) include lack of prior AP exposure, sex, and age.
Clinicians should consider these risk factors when prescribing antipsychotics.
Supports 2023 - Metabolic adaptationStrong
A comprehensive redefinition of obesity in Asian Indians is needed beyond BMI criteria.
Practitioners should consider factors beyond BMI when diagnosing obesity in Asian Indians.
Supports 2025New - Metabolic adaptationStrong
The refined framework aims to enhance precision in identifying obesity and its health risks.
Practitioners can use this framework to better assess obesity-related health risks.
Supports 2025New - Metabolic adaptationStrong
Patients with incident heart failure had 5.6% higher serum branched-chain amino acids (BCAAs) than those without heart failure (median 639.3 vs 605.2 μmol/L; P = .01).
Higher levels of BCAAs may indicate an increased risk of heart failure in patients with type 2 diabetes.
Supports 2020 - Metabolic adaptationStrong
Serum BCAAs had a positive linear association with incident heart failure (hazard ratio [HR] 1.22 per-SD increase).
Monitoring BCAA levels may help assess heart failure risk in type 2 diabetes patients.
Supports 2020 - Metabolic adaptationStrong
Circulating levels of BCAAs are independently associated with incident heart failure in patients with type 2 diabetes.
Understanding BCAA levels could be crucial for managing heart failure risk in type 2 diabetes patients.
Supports 2020 - Metabolic adaptationStrong
Short term dietary trials are highly susceptible to bias due to physiological adaptation to major changes in nutrients.
Practitioners should be aware that results from short-term dietary trials may be influenced by the time it takes for physiological changes to occur.
Supports 2025New - Metabolic adaptationStrong
The method used to calculate AUC can lead to a different interpretation of the effects of training on post-exercise oxygen consumption.
Practitioners should be cautious in interpreting post-exercise oxygen consumption changes based on the AUC method used.
Supports 2005 - Metabolic adaptationStrong
Consumption of diets rich in carbohydrates promotes elevations in circulating lipids.
Practitioners should consider the impact of carbohydrate-rich diets on lipid levels.
Supports 2019 - Metabolic adaptationStrong
Computer tools combine multiple components in lipid nutrition and predict balance of energy and n-3:n-6 HUFA.
These tools can enhance clinical nutrition monitoring and dietary planning.
Supports 2021 - Metabolic adaptationStrong
GIPR agonism enhances the insulin-sensitizing effect of the thiazolidinedione rosiglitazone.
Incorporating GIPR agonists could enhance the effectiveness of insulin-sensitizing medications.
Supports 2023 - Metabolic adaptationStrong
Anaerobic exercise decreases systemic pH and increases metabolic acidosis in athletes.
Athletes should be aware that anaerobic exercise can lead to increased metabolic acidosis.
Supports 2024 - Metabolic adaptationStrong
Obese class III (OCIII) insulin users incur the greatest annual healthcare expenditures among the studied population.
Targeted interventions may be beneficial for OCIII insulin users to manage healthcare costs.
Supports 2019 - Metabolic adaptationStrong
Psychotropic medications, especially antipsychotics, cause weight gain in individuals with severe mental illness (SMI).
Practitioners should be aware of the weight gain side effects of antipsychotic medications in SMI patients.
Supports 2023 - Metabolic adaptationStrong
Metformin and topiramate are commonly prescribed for weight gain in individuals with SMI, but their weight loss potential is modest.
Practitioners should consider the limited effectiveness of metformin and topiramate for weight management in SMI patients.
Qualifies 2023 - Metabolic adaptationStrong
The positive effects of the training program disappeared after 6 years.
Long-term benefits of short exercise programs may require ongoing engagement.
Refutes 2018 - Metabolic adaptationStrong
Current research has focused more on muscle mass than on skeletal muscle lipid metabolism.
Researchers should shift focus to skeletal muscle lipid metabolism in future studies.
Supports 2025New - Metabolic adaptationStrong
The WIG score demonstrated good reproducibility.
The reproducibility of the WIG score allows for consistent application in clinical practice.
Supports 2016 - Metabolic adaptationStrong
Nearly half of all patients listed for kidney transplant have obesity, which is associated with increased rates of perioperative complications and graft loss.
Healthcare providers should be aware of the high prevalence of obesity in kidney transplant candidates and its implications for surgery.
Supports 2026New - Metabolic adaptationStrong
Patients with cardiovascular diseases often show better survival rates with overweight and mild obesity compared to normal body weight.
Healthcare providers should consider the implications of body weight on survival in cardiovascular patients.
Supports 2021 - Metabolic adaptationStrong
Protein ingestion during hemodialysis does not attenuate hemodialysis efficacy.
Protein intake can be safely incorporated into hemodialysis routines.
Supports 2023 - Metabolic adaptationStrong
Higher carbohydrate intake was associated with an increased risk of total mortality (HR 1.28).
Reducing carbohydrate intake may be beneficial for longevity.
Supports 2018