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Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice

Space Sciences

Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice

K. Li, R. Desai, et al.

This groundbreaking study explores how spaceflight triggers muscle atrophy in mice by unraveling the mysteries of calcium dysregulation and SERCA pump malfunction. The innovative use of multi-omics data highlights Acyp1 and Rps7 as pivotal proteins linked to muscle resilience in microgravity. This research, conducted by Kevin Li and colleagues, offers crucial insights for mitigating muscle loss during space travel.

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Playback language: English
Abstract
This study investigates the molecular mechanisms behind muscle atrophy in mice during spaceflight, focusing on the dysregulation of calcium levels and SERCA pump function. Using multi-omics data (transcriptomics, proteomics, and DNA methylation) from mouse soleus and tibialis anterior muscles exposed to microgravity, the researchers employed the QLattice symbolic regression algorithm to build explainable models predicting calcium reuptake. Acyp1 and Rps7 proteins emerged as key predictive biomarkers for tibialis anterior muscle resilience in space. These findings could inform interventions to mitigate muscle atrophy during space travel.
Publisher
npj Microgravity
Published On
Dec 13, 2023
Authors
Kevin Li, Riya Desai, Ryan T. Scott, Joel Ricky Steele, Meera Machado, Samuel Demharter, Adrienne Hoarfrost, Jessica L. Braun, Val A. Fajardo, Lauren M. Sanders, Sylvain V. Costes
Tags
muscle atrophy
spaceflight
calcium levels
SERCA pump
biomarkers
microgravity
multi-omics

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