Publications associées à Squelette humain

Investigating the neuromechanical control of healthy gait modulation and pathological gaits observed in cerebral palsy using neuromuscular simulations

Locomotion is based on a sophisticated interaction among the environment, the musculoskeletal system, the spinal cord, and the brain locomotor areas. Quality of life is strongly related to the proper capability of this movement. However, many pathologies, ...

EPFL2023

Understanding motor control and impairment: An upper-limb model for muscular assessment

Tristan Jean Robin Barjavel

The human upper limb is a complex musculoskeletal system that can still perform various tasks with impressive efficacy thanks to the ability of the central nervous system to control and modulate the activation of more than 40 muscles. Stroke is a leading ...

EPFL2023

Inhibition of CERS1 in skeletal muscle exacerbates age-related muscle dysfunction

Johan Auwerx, Olivier Burri, Xiaoxu Li, Tanes Imamura de Lima, Giacomo Vincenzo Giorgio Von Alvensleben, Martin Rainer Wohlwend, Pirkka-Pekka Untamo Laurila, Ludger Jan Elzuë Goeminne, Amélia Lalou, Barbara Moreira Crisol

Age-related muscle wasting and dysfunction render the elderly population vulnerable and incapacitated, while underlying mechanisms are poorly understood. Here, we implicate the CERS1 enzyme of the de novo sphingolipid synthesis pathway in the pathogenesis ...

2023

Premature Vertebral Mineralization in hmx1-Mutant Zebrafish

H6 family homeobox 1 (HMX1) regulates multiple aspects of craniofacial development, and mutations in HMX1 are linked to an ocular defect termed oculoauricular syndrome of Schorderet-Munier-Franceschetti (OAS) (MIM #612109). Recently, additional altered oro ...

2022

The kinectome: A comprehensive kinematic map of human motion in health and disease

Enrico Amico, Antonella Romano, Emahnuel Troisi Lopez

Human voluntary movement stems from the coordinated activations in space and time of many musculoskeletal segments. However, the current methodological approaches to study human movement are still limited to the evaluation of the synergies among a few body ...

WILEY2022

Raman microspectroscopy reveals unsaturation heterogeneity at the lipid droplet level and validates an in vitro model of bone marrow adipocyte subtypes

Olaia Maria Naveiras Torres-Quiroga, Charles Christopher Bataclan, Vasco Ledebur de Antas de Campos, Josefine Catharina Pedersen Tratwal, Daniel Naveed Tavakol

Bone marrow adipocytes (BMAds) constitute the most abundant stromal component of adult human bone marrow. Two subtypes of BMAds have been described, the more labile regulated adipocytes (rBMAds) and the more stable constitutive adipocytes (cBMAds), which d ...

FRONTIERS MEDIA SA2022

Sub-trabecular strain evolution in human trabecular bone

Goran Lovric, Alessandra Patera

To comprehend the most detrimental characteristics behind bone fractures, it is key to understand the material and tissue level strain limits and their relation to failure sites. The aim of this study was to investigate the three-dimensional strain distrib ...

NATURE RESEARCH2020

MicroRNA-204-5p modulates mitochondrial biogenesis in C2C12 myotubes and associates with oxidative capacity in humans

Xu Wang

Using an unbiased high-throughput microRNA (miRNA)-silencing screen combined with functional readouts for mitochondrial oxidative capacity in C2C12 myocytes, we previously identified 19 miRNAs as putative regulators of skeletal muscle mitochondrial metabol ...

2020

Prior exercise in humans redistributes intramuscular GLUT4 and enhances insulin -stimulated sarcolemmal and endosomal GLUT4 translocation

Objective: Exercise is a cornerstone in the management of skeletal muscle insulin-resistance. A well-established benefit of a single bout of exercise is increased insulin sensitivity for hours post-exercise in the previously exercised musculature. Although ...

2020

Learning Trajectory Dependencies for Human Motion Prediction

Mathieu Salzmann, Hongwei Li, Wei Mao

Human motion prediction, i.e., forecasting future body poses given observed pose sequence, has typically been tackled with recurrent neural networks (RNNs). However, as evidenced by prior work, the resulted RNN models suffer from prediction errors accumula ...

IEEE2019