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Developmental hematopoietic stem cell variation explains clonal hematopoiesis later in life.
Kreger, Jesse; Mooney, Jazlyn A; Shibata, Darryl; MacLean, Adam L.
Afiliação
  • Kreger J; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Mooney JA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Shibata D; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • MacLean AL; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
bioRxiv ; 2024 Mar 05.
Article em En | MEDLINE | ID: mdl-38496542
ABSTRACT
Clonal hematopoiesis becomes increasingly common with age, but its cause is enigmatic because driver mutations are often absent. Serial observations infer weak selection indicating variants are acquired much earlier in life with unexplained initial growth spurts. Here we use fluctuating CpG methylation as a lineage marker to track stem cell clonal dynamics of hematopoiesis. We show, via the shared prenatal circulation of monozygotic twins, that weak selection conferred by stem cell variation created before birth can reliably yield clonal hematopoiesis later in life. Theory indicates weak selection will lead to dominance given enough time and large enough population sizes. Human hematopoiesis satisfies both these conditions. Stochastic loss of weakly selected variants is naturally prevented by the expansion of stem cell lineages during development. The dominance of stem cell clones created before birth is supported by blood fluctuating CpG methylation patterns that exhibit low correlation between unrelated individuals but are highly correlated between many elderly monozygotic twins. Therefore, clonal hematopoiesis driven by weak selection in later life appears to reflect variation created before birth.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article