2023
Regulatory T cells shield muscle mitochondria from interferon-γ–mediated damage to promote the beneficial effects of exercise
Langston P, Sun Y, Ryback B, Mueller A, Spiegelman B, Benoist C, Mathis D. Regulatory T cells shield muscle mitochondria from interferon-γ–mediated damage to promote the beneficial effects of exercise. Science Immunology 2023, 8: eadi5377. PMID: 37922340, PMCID: PMC10860652, DOI: 10.1126/sciimmunol.adi5377.Peer-Reviewed Original ResearchConceptsHealth activitiesPerformance-enhancing effectsEffects of exercise trainingEffects of exerciseResponse to exerciseChronic exercise modelsExercise trainingPhysical performanceExercise modelType 2 diabetesExerciseCD4<sup>+</sup> regulatory T cellsCardiovascular diseaseFoxp3<sup>+</sup>CD4<sup>+</sup> regulatory T cellsRegulatory T cellsSkeletal muscleT cellsInterferon-gMuscle mitochondriaEffector mechanismsMuscleInflammatory responseTherapeutic potentialDementiaMetabolic disruption
2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Yang S, Li F, Thomas L, Li F. Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials 2021, 18: 570-581. PMID: 34269087, DOI: 10.1177/17407745211028588.Peer-Reviewed Original ResearchConceptsPropensity score weighting estimatorChance imbalanceAnalysis of randomized clinical trialsAnalysis of covariance estimatorSubgroup analyses of randomized clinical trialsCovariate adjustmentWeight estimationControlled Trial Investigating Outcomes of Exercise Training trialPropensity score weighting methodologyHeterogeneous treatment effectsRandomized clinical trialsCovariance estimationPropensity score modelPropensity modelAnalysis of covariancePropensity score weightingSubgroup sample sizeSubgroup analysisEffects of exercise trainingExercise training trialsOutcome modelScore weightingEvidence of heterogeneous treatment effectsCovariatesUnadjusted estimates
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