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[Michael Lustgarten]

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[albedo]

OK it is N=1 experiment (from an expert: Matt Kaeberlein), but result is definitely not good! Use all these clocks with caution!

 

 min 14:09 on ..https://www.youtube....h?v=hySlWn0f9m8 ...

 

 Screenshot 2025-05-31 212133.png   604.62KB   0 downloads

Edited by albedo, 31 May 2025 - 08:14 PM.

[Michael Lustgarten]

OK it is N=1 (from an expert: Matt Kaeberlein) experiment, but definitely not good! Use all these clocks with caution!

 

 min 14:09 on ..https://www.youtube....h?v=hySlWn0f9m8 ...

 

Screenshot 2025-05-31 212133.png

 

As shown in the video, all epigenetic clocks are not the same for their association with all-cause mortality risk. Some of the clocks that Matt discussed haven't been compared like that

Even with his criticism, I prefer to measure the actual biomarkers underlying the epigenetic clocks, which is discussed in the video, too...
 

[albedo]

As shown in the video, all epigenetic clocks are not the same for their association with all-cause mortality risk. Some of the clocks that Matt discussed haven't been compared like that

Even with his criticism, I prefer to measure the actual biomarkers underlying the epigenetic clocks, which is discussed in the video, too...
 

 

"...prefer to measure the actual biomarkers underlying the epigenetic clocks..." fair point, thank you.

[albedo]

From Gladyschev's team. Still in preprint. I think it is an important way forward technically and might be a tip for one of your next nice videos to consider. I expect you have seen this already, sorry ... ;-)

 

High-dimensional Ageome Representations of Biological Aging across Functional Modules

https://www.biorxiv.....09.17.613599v1

 

"...When applied to human cohorts, Ageome demonstrated het32erogeneity in predictive power for mortality risk, and some modules showed better performance 33 in predicting the onset of age-related diseases, especially cancer, compared to existing clocks..."

 

(BTW, will you happen to be in a coming aging conference when one can meet?)

Edited by albedo, Yesterday, 06:35 AM.

[Michael Lustgarten]

From Gladyschev's team. Still in preprint. I think it is an important way forward technically and might be a tip for one of your next nice videos to consider. I expect you have seen this already, sorry ... ;-)

 

High-dimensional Ageome Representations of Biological Aging across Functional Modules

https://www.biorxiv.....09.17.613599v1

 

"...When applied to human cohorts, Ageome demonstrated het32erogeneity in predictive power for mortality risk, and some modules showed better performance 33 in predicting the onset of age-related diseases, especially cancer, compared to existing clocks..."

 

(BTW, will you happen to be in a coming aging conference when one can meet?)

My take-home message:

"Ageome consistently matched the predictive power of GrimAgeV2 and PhenoAge across the examined disease categories."