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Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans

Ineke Dhondt (UGent) , Clara Verschuuren (UGent) , Aleksandra Zečić, Tim Loier (UGent) , Bart Braeckman (UGent) and Winnok H. De Vos
(2021) DISEASE MODELS & MECHANISMS. 14(11).
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Abstract
Sarcopenia encompasses a progressive decline in muscle quantity and quality. Given its close association with ageing, it may represent a valuable healthspan marker. The commonalities with human muscle structure and facile visualization possibilities make Caenorhabditis elegans an attractive model for studying the relationship between sarcopenia and healthspan. However, classical visual assessment of muscle architecture is subjective and has low throughput. To resolve this, we have developed an image analysis pipeline for the quantification of muscle integrity in confocal microscopy images from a cohort of ageing myosin::GFP reporter worms. We extracted a variety of morphological descriptors and found a subset to scale linearly with age. This allowed establishing a linear model that predicts biological age from a morphological muscle signature. To validate the model, we evaluated muscle architecture in long-lived worms that are known to experience delayed sarcopenia by targeted knockdown of the daf-2 gene. We conclude that quantitativ e microscopy allows for staging sarcopenia in C . elegans and may foster the development of image-based screens in this model organism to identif y modulators that mitigate age-related muscle frailty and thus improve healthspan.
Keywords
General Biochemistry, Genetics and Molecular Biology, Immunology and Microbiology (miscellaneous), Medicine (miscellaneous), Neuroscience (miscellaneous), Sarcopenia, C, elegans, Ageing, Healthspan, Image analysis, Phenotype prediction, HEALTHSPAN, TURNOVER, PROTEINS, SLOWS

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MLA
Dhondt, Ineke, et al. “Prediction of Biological Age by Morphological Staging of Sarcopenia in Caenorhabditis Elegans.” DISEASE MODELS & MECHANISMS, vol. 14, no. 11, 2021, doi:10.1242/dmm.049169.
APA
Dhondt, I., Verschuuren, C., Zečić, A., Loier, T., Braeckman, B., & De Vos, W. H. (2021). Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans. DISEASE MODELS & MECHANISMS, 14(11). https://doi.org/10.1242/dmm.049169
Chicago author-date
Dhondt, Ineke, Clara Verschuuren, Aleksandra Zečić, Tim Loier, Bart Braeckman, and Winnok H. De Vos. 2021. “Prediction of Biological Age by Morphological Staging of Sarcopenia in Caenorhabditis Elegans.” DISEASE MODELS & MECHANISMS 14 (11). https://doi.org/10.1242/dmm.049169.
Chicago author-date (all authors)
Dhondt, Ineke, Clara Verschuuren, Aleksandra Zečić, Tim Loier, Bart Braeckman, and Winnok H. De Vos. 2021. “Prediction of Biological Age by Morphological Staging of Sarcopenia in Caenorhabditis Elegans.” DISEASE MODELS & MECHANISMS 14 (11). doi:10.1242/dmm.049169.
Vancouver
1.
Dhondt I, Verschuuren C, Zečić A, Loier T, Braeckman B, De Vos WH. Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans. DISEASE MODELS & MECHANISMS. 2021;14(11).
IEEE
[1]
I. Dhondt, C. Verschuuren, A. Zečić, T. Loier, B. Braeckman, and W. H. De Vos, “Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans,” DISEASE MODELS & MECHANISMS, vol. 14, no. 11, 2021.
@article{8746158,
  abstract     = {{Sarcopenia encompasses a progressive decline in muscle quantity and quality. Given its close association with ageing, it may represent a valuable healthspan marker. The commonalities with human muscle structure and facile visualization possibilities make Caenorhabditis elegans an attractive model for studying the relationship between sarcopenia and healthspan. However, classical visual assessment of muscle architecture is subjective and has low throughput. To resolve this, we have developed an image analysis pipeline for the quantification of muscle integrity in confocal microscopy images from a cohort of ageing myosin::GFP reporter worms. We extracted a variety of morphological descriptors and found a subset to scale linearly with age. This allowed establishing a linear model that predicts biological age from a morphological muscle signature. To validate the model, we evaluated muscle architecture in long-lived worms that are known to experience delayed sarcopenia by targeted knockdown of the daf-2 gene. We conclude that quantitativ e microscopy allows for staging sarcopenia in C . elegans and may foster the development of image-based screens in this model organism to identif y modulators that mitigate age-related muscle frailty and thus improve healthspan.}},
  articleno    = {{dmm049169}},
  author       = {{Dhondt, Ineke and Verschuuren, Clara and Zečić, Aleksandra and Loier, Tim and Braeckman, Bart and De Vos, Winnok H.}},
  issn         = {{1754-8403}},
  journal      = {{DISEASE MODELS & MECHANISMS}},
  keywords     = {{General Biochemistry,Genetics and Molecular Biology,Immunology and Microbiology (miscellaneous),Medicine (miscellaneous),Neuroscience (miscellaneous),Sarcopenia,C,elegans,Ageing,Healthspan,Image analysis,Phenotype prediction,HEALTHSPAN,TURNOVER,PROTEINS,SLOWS}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{8}},
  title        = {{Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans}},
  url          = {{http://doi.org/10.1242/dmm.049169}},
  volume       = {{14}},
  year         = {{2021}},
}
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