1. Identifying risk factors for sarcopenia using machine learning : insights from multimodal dataFelicita Urzi, Domen Šoberl, Ornella Caputo, Marco Vincenzo Narici, 2025, izvirni znanstveni članek Opis: Purpose This study aims to identify key risk factors for sarcopenia using machine learning models, leveraging anthropomet- ric, biochemical, functional, nutritional, and genetic data. By developing predictive models, the research seeks to improve early detection, enhance diagnostic accuracy, and facilitate personalized interventions for individuals at risk of sarcopenia. Methods We analysed multimodal data from 484 older adults. Two scenarios: Set-a (including SARC–CalF, excluding SARC-F) and Set-b (including SARC-F, excluding SARC–CalF) were applied in a three-stage modeling process with progressively reduced features and optimized predictive performance using machine learning models. Key predictors were ranked using SHAP values, and model performance was evaluated using AUC, accuracy, sensitivity, and specificity. Internal validation and DeLong’s test were applied to assess robustness and statistical differences. Results The most predictive risk factors included functional measures (chair stand, gait speed), nutritional indicators (pro- tein, folate, copper, vitamin B7), clinical conditions (diabetes, comorbidities, low-density lipoprotein (LDL)), and anthro- pometric markers (body mass index (BMI), calf circumference). Genetic features also contributed to risk stratification. The best-performing model Set-b (with screening test SARC-F) achieved an AUC of 0.951 and an accuracy of 93.62%. While SARC–CalF showed higher individual feature importance, the model achieved an AUC of 0.945 and accuracy of 92.2%. Conclusions This study highlights that traditional sarcopenia screening can be enhanced by capturing complex interplay of functional, nutritional, clinical, and genetic factors, offering clinicians a more accurate and tailored tool for early detec- tion and risk stratification. Future research should focus on validating these models in larger, independent, and longitudinal cohorts to assess their predictive utility across diverse populations and over time.
Ključne besede: genetics, nutrition, risk factors, sarcopenia
Objavljeno v RUP: 23.07.2025; Ogledov: 577; Prenosov: 12
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2. Maximal explosive power of the lower limbs before and after 35 days of bed rest under different diet energy intakeEnrico Rejc, Pietro Enrico Di Prampero, Stefano Lazzer, Bruno Grassi, Boštjan Šimunič, Rado Pišot, Guglielmo Antonutto, Marco Vincenzo Narici, 2015, izvirni znanstveni članek Ključne besede: maximal explosive power, bed rest, diet, lower limbs, nutritional countermeasures
Objavljeno v RUP: 08.08.2016; Ogledov: 4597; Prenosov: 201
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3. Greater loss in muscle mass and function but smaller metabolic alterations in older compared to younger men following two weeks of bed rest and recoveryRado Pišot, Uroš Marušič, Gianni Biolo, Sara Mazzucco, Stefano Lazzer, Bruno Grassi, Carlo Reggiani, Luana Toniolo, Pietro Enrico Di Prampero, Angelina Passaro, Marco Vincenzo Narici, Shahid Mohammed, Joern Rittweger, Mladen Gasparini, Mojca Gabrijelčič Blenkuš, Boštjan Šimunič, 2016, izvirni znanstveni članek Ključne besede: ageing, prolonged physical inactivity, functional decline, reconditioning
Objavljeno v RUP: 08.08.2016; Ogledov: 5825; Prenosov: 203
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4. A 35-day bed rest does not alter the bilateral deficit of the lower limbs during explosive effortsEnrico Rejc, Pietro Enrico Di Prampero, Stefano Lazzer, Bruno Grassi, Boštjan Šimunič, Rado Pišot, Guglielmo Antonutto, Marco Vincenzo Narici, 2015, izvirni znanstveni članek Ključne besede: bed rest, maximal explosive power, lower limbs, EMG, bilateral deficit
Objavljeno v RUP: 08.08.2016; Ogledov: 4899; Prenosov: 299
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5. Single muscle fibre contractile properties differ between body-builders, power athletes and control subjectsJ. P. Meijer, R. T. Jaspers, Joern Rittweger, Olivier Seynnes, S. Kamandulis, M. Brazaitis, A. Skurvydas, Rado Pišot, Boštjan Šimunič, Marco Vincenzo Narici, Hans Degens, 2015, izvirni znanstveni članek Ključne besede: skeletal muscles, muscle fibers, contractile properties, body-builders, power athletes
Objavljeno v RUP: 08.08.2016; Ogledov: 6161; Prenosov: 211
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6. Noninvasive estimation of myosin heavy chain composition in human skeletal muscleBoštjan Šimunič, Hans Degens, Joern Rittweger, Marco Vincenzo Narici, Igor B. Mekjavić, Rado Pišot, 2011, izvirni znanstveni članek Ključne besede: Tensiomyography, fiber type, myosin heavy chain, mechanomyography
Objavljeno v RUP: 15.10.2013; Ogledov: 5576; Prenosov: 196
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7. Costamere remodeling with muscle loading and unloading in healthy young menRuowei Li, Marco Vincenzo Narici, Robert M. Erskine, Olivier Seynnes, Joern Rittweger, Rado Pišot, Boštjan Šimunič, M. Flück, 2013, izvirni znanstveni članek Ključne besede: costamere, atrophy, focal adhesion kinase, hypertrophy, physical inactivity, bed rest, skeletal muscle, myofibril, vinculin
Objavljeno v RUP: 15.10.2013; Ogledov: 5552; Prenosov: 161
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