Proteomic Signatures of Sarcopenia and Its Prognosis
Author Information
Author(s): Wu Chenkai, Liao Jinhui, Xu Jianhong
Primary Institution: Duke Kunshan University
Hypothesis
Understanding the proteomic signatures associated with the development and prognosis of sarcopenia is crucial for targeted management.
Conclusion
The study identified specific proteins associated with sarcopenia and mortality, which could help in personalized management strategies.
Supporting Evidence
- 738 proteins were cross-sectionally associated with sarcopenia at baseline.
- 627 proteins were significantly associated with mortality among initially sarcopenic individuals.
- LASSO regression identified 306 proteins associated with sarcopenia status.
- The prediction model with 34 proteins had a C-statistic of 0.81.
Takeaway
This study looked at proteins in people's blood to understand muscle loss in older adults and found some that can help predict health outcomes.
Methodology
Data from the UK Biobank was analyzed using multinomial logistic regression, Cox regression, LASSO regression, and light gradient boosting machine models.
Participant Demographics
Participants were aged 39-70 years.
Statistical Information
P-Value
Bonferroni-corrected p-value < 0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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