Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain.

Matthew T Buckley, Eric D Sun, Benson M George, Ling Liu, Nicholas Schaum, Lucy Xu, Jaime M Reyes, Margaret A Goodell, Irving L Weissman, Tony Wyss-Coray, Thomas A Rando, Anne Brunet

January 2023 Nat Aging

Synopsis of Social media discussions

The discussions surrounding the publication emphasize its innovative approach to quantifying aging by analyzing how specific brain cells age and rejuvenate. Phrases like 'game changer' and descriptions of the techniques as 'cutting-edge' contribute to an enthusiastic tone, indicating users believe this research could significantly influence neuroscience and therapeutic strategies.

A
Agreement
 Moderate agreement

Many posts indicate a supportive stance towards the publication's findings, highlighting excitement about the implications of aging clocks.

I
Interest
 High level of interest

The posts reflect a high degree of curiosity about aging research and its applications, suggesting that the topic resonates with others.

E
Engagement
 Moderate level of engagement

The majority of posts are primarily supportive or informative rather than deeply analytical, indicating moderate engagement.

I
Impact
 High level of impact

Several users express belief in the substantial influence this research may have on future studies and health interventions.

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Total Likes

325

Extended Reach

527,388

Social Features

103

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    Referencias científicas Buckley MT, et al. Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain. Nat Aging. 2023 Jan;3(1):121-137. doi: 10.1038/s43587-022-00335-4. Epub 2022 Dec 19. PMID: 37118510; PMCID: PMC10154228. Wu Z, Qu J,
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    Cell type-specific aging clocks to quantify aging and rejuvenation in regenerative regions of the brain.More time to hold #Bitcoin.
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    In @NatureAging, @BrunetLab @Stanford developed cell-type-specific aging clocks to quantify #aging and rejuvenation in a neurogenic region of the mouse brain.
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    ✨Online now! scRNAseq data from a neurogenic mouse brain region used to build aging clocks for specific neural cell types and their application to quantify transcriptomic rejuvenation. @EricDSun @MatttBuckley @BrunetLab @StanfordBrain https://t.co/bKNcswTjDA
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Abstract Synopsis

  • Researchers created aging clocks using single-cell transcriptomics to measure aging and rejuvenation in specific brain cell types, particularly in the neurogenic regions.
  • They analyzed brain samples from 28 mice of different ages to develop models that predict both chronological and biological age, showing these models can apply to other mice, brain regions, and even different species.
  • The study found that interventions like heterochronic parabiosis and exercise can reverse transcriptomic aging in neurogenic regions, although they do so through different mechanisms.