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Mammalian and Invertebrate Models as Complementary Tools for Gaining Mechanistic Insight on Muscle Responses to Spaceflight.

Thomas CahillHenry CopeJoseph J BassEliah G OverbeyRachel GilbertWillian Abraham da SilveiraAmber M PaulTejaswini MishraRaúl HerranzSigrid S ReinschSylvain V CostesGary HardimanNathaniel J SzewczykCandice G T Tahimic
Published in: International journal of molecular sciences (2021)
Bioinformatics approaches have proven useful in understanding biological responses to spaceflight. Spaceflight experiments remain resource intensive and rare. One outstanding issue is how to maximize scientific output from a limited number of omics datasets from traditional animal models including nematodes, fruitfly, and rodents. The utility of omics data from invertebrate models in anticipating mammalian responses to spaceflight has not been fully explored. Hence, we performed comparative analyses of transcriptomes of soleus and extensor digitorum longus (EDL) in mice that underwent 37 days of spaceflight. Results indicate shared stress responses and altered circadian rhythm. EDL showed more robust growth signals and Pde2a downregulation, possibly underlying its resistance to atrophy versus soleus. Spaceflight and hindlimb unloading mice shared differential regulation of proliferation, circadian, and neuronal signaling. Shared gene regulation in muscles of humans on bedrest and space flown rodents suggest targets for mitigating muscle atrophy in space and on Earth. Spaceflight responses of C. elegans were more similar to EDL. Discrete life stages of D. melanogaster have distinct utility in anticipating EDL and soleus responses. In summary, spaceflight leads to shared and discrete molecular responses between muscle types and invertebrate models may augment mechanistic knowledge gained from rodent spaceflight and ground-based studies.
Keyphrases
  • skeletal muscle
  • healthcare
  • single cell
  • cell proliferation
  • signaling pathway
  • adipose tissue
  • type diabetes
  • insulin resistance
  • electronic health record
  • big data
  • artificial intelligence
  • case control
  • wild type