Vadim Gladyshev at ARDD2025: Quantifying and Targeting Aging

Vadim Gladyshev at ARDD2025: Quantifying and Targeting Aging

by Vadim Gladyshev

Life & Natural Systems Medicine & Health MFKHHuman growth and developmentMFKH3Maturation and ageing
🎙 Vadim Gladyshev 👥 9K 📅 January 21, 2026 ⏱ 20 min 👁 461 📄 original study 🧭 2026-08-16
Available in: English (current) Français

Keywords

biological ageplasma proteomeorgan-specific agingmenopauselongevity interventions

Summary

Vadim Gladyshev presents his lab’s work on quantifying and targeting aging. He introduces plasma proteomic clocks trained on chronological age and mortality, using UK Biobank data, which can predict diseases and organ-specific aging. A 21-protein panel is shown to be nearly as predictive as the full proteome, offering a cost-effective approach. He discusses the concept of ‘diseases as localized aging’, where chronic diseases are manifestations of accelerated aging in specific organs. Focusing on female reproductive aging, he shows that menopause induces a rapid increase in biological age across multiple organs, and his lab developed a plasma proteomic model for menopause that outperforms known markers. He also mentions the Microfaging consortium and tools like BLarn, Clockbase, and MethylGPT. Finally, he presents a platform for identifying longevity interventions, using longevity signatures from known interventions and cross-species comparisons to screen compounds. In mouse studies, several compounds extended lifespan, though the success rate was lower in a second wave. The talk concludes with a Q&A session.

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Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides substantial value by presenting novel data on organ-specific aging clocks and a practical 21-protein panel, which could have significant clinical implications. The argumentation is solid, based on large datasets and rigorous statistical models (C-index, hazard ratios). The speaker acknowledges limitations, such as the unpublished nature of some results and the lower success rate in the second wave of intervention studies, which adds credibility. The concept of ‘diseases as localized aging’ is thought-provoking and well-supported by the predictive models.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, with references to published work (e.g., Tony Wyss-Coray’s Nature 2023 paper) and use of large cohorts like UK Biobank. The speaker clearly distinguishes between published and unpublished data. The title accurately reflects the content, focusing on quantification and targeting of aging. No public comments were provided, so no analysis of audience trends is included.

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Title / Content Match

The title accurately reflects the content: the talk quantifies aging through proteomic clocks and presents interventions targeting aging.

Quality & Reliability

8/10

The talk presents original research from a leading lab, with data from large cohorts (UK Biobank) and multiple validation steps. However, some results are unpublished (preprint) and the speaker discloses a lower success rate in the second wave of intervention studies, indicating ongoing uncertainty.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • Tony Wyss-Coray Nature 2023 paper on organ-specific aging — Referenced as the basis for identifying proteins from different organs in plasma.
  • UK Biobank — Used for training proteomic clocks on 53,000 individuals.
  • Calico model based on 14 proteins — Mentioned for comparison in disease prediction performance.

Concurring Sources

  • Tony Wyss-Coray Nature 2023 paper — The approach for identifying organ-specific proteins in plasma is based on this work.
  • UK Biobank — Large cohort used for training and validation.

Dissenting Sources

  • Second wave of intervention studies — The speaker notes that the second wave of compounds tested did not extend lifespan, contradicting the initial high success rate.

Contribution & Novelties

The talk presents several novel contributions: organ-specific plasma proteomic clocks that predict diseases, a cost-effective 21-protein panel, a plasma proteomic model for menopause, and a platform for identifying longevity interventions using cross-species signatures. The concept of ‘diseases as localized aging’ offers a new paradigm. The speaker also introduces tools like Clockbase and MethylGPT for analyzing biological age.

Pour aller plus loin :

  • Epigenetic clocks — Background on DNA methylation-based age predictors.
  • UK Biobank — The cohort used for training the proteomic clocks.
  • Rapamycin — A known longevity intervention mentioned in the talk.
  • Connectivity Map — The database used for screening compounds.
  • Frailty index — A measure used in the mouse studies.

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Radar Profile

The radar profile shows high scores in information quantity and technical level, reflecting the dense presentation of data and methods. The quality and reliability scores are also high, but slightly lower due to some unpublished results and acknowledged limitations. Overall, the talk is scientifically robust and informative.

Reliability 8/10