BiT age: A transcriptome-based aging clock near the theoretical limit of accuracy

Area of Science:

• Gerontology
• Molecular Biology
• Bioinformatics

Background:

• Biological age estimation is crucial for understanding aging mechanisms and interventions.
• Epigenetic clocks, like DNA methylation, have limitations in certain species and their impact on gene expression is unclear.
• Existing transcriptomic aging clocks lack accuracy and are prone to data variation.

Purpose of the Study:

• To develop a novel and highly accurate aging clock using transcriptomic data.
• To investigate the role of specific genes and pathways in regulating the aging process.
• To assess the applicability of the developed clock across different species and conditions.

Main Methods:

• Temporal scaling and binarization of Caenorhabditis elegans transcriptomes.
• Development of a gene set to predict biological age with high accuracy.
• Validation of the clock's predictive power on longevity effects across diverse strains and treatments.

Main Results:

• The binarized transcriptomic aging (BiT age) clock achieved near-theoretical limit accuracy in predicting biological age.
• The model successfully predicted longevity effects of various genetic and environmental factors.
• Identified key genes involved in aging, including transcription factors, innate immunity, and neuronal signaling pathways.

Conclusions:

• The BiT age clock provides a robust and accurate method for biological age estimation, overcoming limitations of previous approaches.
• This clock is applicable to both model organisms like C. elegans and humans.
• The BiT age clock has broad potential applications in studying genetic, nutritional, environmental, and therapeutic interventions impacting aging.