2024
Cell Tree Rings: the structure of somatic evolution as a human aging timer
CSORDAS, Attila; Botond SIPOS; Terézia KURUCOVÁ; Andrea VOLFOVA; Frantisek ZAMOLA et. al.Basic information
Original name
Cell Tree Rings: the structure of somatic evolution as a human aging timer
Authors
CSORDAS, Attila (guarantor); Botond SIPOS; Terézia KURUCOVÁ ORCID (703 Slovakia, belonging to the institution); Andrea VOLFOVA; Frantisek ZAMOLA; Boris TICHÝ ORCID (203 Czech Republic, belonging to the institution) and Damien G HICKS
Edition
GEROSCIENCE, DORDRECHT, SPRINGER, 2024, 2509-2715
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
10605 Developmental biology
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 5.400
RIV identification code
RIV/00216224:14740/24:00135516
Organization unit
Central European Institute of Technology
UT WoS
001135619600001
EID Scopus
2-s2.0-85181475590
Keywords in English
Cell Tree Rings; Geroprotective trials; Biological age
Tags
International impact, Reviewed
Changed: 4/4/2025 16:01, Mgr. Eva Dubská
Abstract
In the original language
Biological age is typically estimated using biomarkers whose states have been observed to correlate with chronological age. A persistent limitation of such aging clocks is that it is difficult to establish how the biomarker states are related to the mechanisms of aging. Somatic mutations could potentially form the basis for a more fundamental aging clock since the mutations are both markers and drivers of aging and have a natural timescale. Cell lineage trees inferred from these mutations reflect the somatic evolutionary process, and thus, it has been conjectured, the aging status of the body. Such a timer has been impractical thus far, however, because detection of somatic variants in single cells presents a significant technological challenge. Here, we show that somatic mutations detected using single-cell RNA sequencing (scRNA-seq) from thousands of cells can be used to construct a cell lineage tree whose structure correlates with chronological age. De novo single-nucleotide variants (SNVs) are detected in human peripheral blood mononuclear cells using a modified protocol. A default model based on penalized multiple regression of chronological age on 31 metrics characterizing the phylogenetic tree gives a Pearson correlation of 0.81 and a median absolute error of similar to 4 years between predicted and chronological ages. Testing of the model on a public scRNA-seq dataset yields a Pearson correlation of 0.85. In addition, cell tree age predictions are found to be better predictors of certain clinical biomarkers than chronological age alone, for instance glucose, albumin levels, and leukocyte count. The geometry of the cell lineage tree records the structure of somatic evolution in the individual and represents a new modality of aging timer. In addition to providing a numerical estimate of "cell tree age," it unveils a temporal history of the aging process, revealing how clonal structure evolves over life span. Cell Tree Rings complements existing aging clocks and may help reduce the current uncertainty in the assessment of geroprotective trials.
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