What if we could look at a human tissue image🔬and quantify its biological age?🧬 And how could we get the same insights without collecting the tissue sample? In our new @biorxivpreprint, we create "tissue clocks" ⏳to do just that! www.biorxiv.org/content/10.1... 📝 #aging #tissue thread below⬇️ - ThreadSky

afrendeiro.bsky.social • 124 days ago

What if we could look at a human tissue image🔬and quantify its biological age?🧬 And how could we get the same insights without collecting the tissue sample? In our new @biorxivpreprint, we create "tissue clocks" ⏳to do just that! https://www.biorxiv.org/content/10.1101/2024.11.14.618081v1 📝 #aging #tissue thread below⬇️

Comments

afrendeiro.bsky.social•124 days ago

For many human tissues it is not known how molecular and cellular aging changes lead to the decline of physiological function. This work is a step towards the systematic quantification of the aging process in human tissues at scale.

afrendeiro.bsky.social•124 days ago

The GTEx project, with over 25,000 images of healthy tissue from almost 1000 individuals provides a phenomenal resource to address these questions https://www.nature.com/articles/ng.2653

afrendeiro.bsky.social•124 days ago

We fine-tune #deeplearning models on healthy human tissue images, which enables us to augment them with super rich features highlighting and quantifying various aspects of tissue biology across scales in a systematic manner.

afrendeiro.bsky.social•124 days ago

From these deep tissue features, we build biological age clocks with mean prediction error of 4.9 years, which are associated with telomere length, subclinical pathologies, and comorbidities. Tissue structure tell us more about biological age than chronological age!

afrendeiro.bsky.social•124 days ago

But not all tissues, organs or individuals age in the same way. Tissue-specific clocks allowed us to identify waves of accelerated aging, classify individuals by their most aged organs, and demographic, lifestyle and clinical associations with specific acceleration of organs.

afrendeiro.bsky.social•124 days ago

As rich as these insights are, many tissues are not accessible in the real world. We combined the image-based age predictions with blood gene expression data, resulting in new blood biological age predictors that are tissue-specific! These were higher in individuals with disease

mirellasalvatore.bsky.social•123 days ago

greay work!

Comments

Posting Rules

Reply