CSORDAS, Attila, Botond SIPOS, Terézia KURUCOVÁ, Andrea VOLFOVA, Frantisek ZAMOLA, Boris TICHÝ and Damien G HICKS. Cell Tree Rings: the structure of somatic evolution as a human aging timer. GEROSCIENCE. DORDRECHT: SPRINGER, 2024, vol. 2024, Jan, p. 1-15. ISSN 2509-2715. Available from: https://dx.doi.org/10.1007/s11357-023-01053-4.
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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 (703 Slovakia, belonging to the institution), Andrea VOLFOVA, Frantisek ZAMOLA, Boris TICHÝ (203 Czech Republic, belonging to the institution) and Damien G HICKS.
Edition GEROSCIENCE, DORDRECHT, SPRINGER, 2024, 2509-2715.
Other information
Original 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
WWW URL
Impact factor Impact factor: 5.600 in 2022
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1007/s11357-023-01053-4
UT WoS 001135619600001
Keywords in English Cell Tree Rings; Geroprotective trials; Biological age
Tags CF GEN, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Dubská, učo 77638. Changed: 8/4/2024 09:59.
Abstract
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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90267, large research infrastructuresName: NCMG III
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