UQCR10 + TNNT1 panel

1 paper studies it1 finding

In silico1

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Sarcopenia

upin silico1

1 study

UQCR10 + TNNT1 panel predicts sarcopenia in silico (AUC = 0.738 [95% CI 0.559-0.875]).
“A two-biomarker panel (UQCR10 + TNNT1) achieved superior performance with Random Forest modeling (AUC = 0.738 [95% CI 0.559-0.875], PRAUC = 0.643 [95% CI 0.405-0.832], sensitivity = 0.850, specificity = 0.600) in the validation cohort”
In silicoRandom Forest modeling in validation cohort (GSE111016)skeletal musclen = 40
UQCR10 and TNNT1: novel biomarkers for sarcopenia identified through integrated transcriptomic analysis and machine learning
European journal of medical researchDec 1, 2025

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European Journal of Medical ResearchDec 1

UQCR10 and TNNT1: novel biomarkers for sarcopenia identified through integrated transcriptomic analysis and machine learning

Computational studySarcopenia