Back

The extent of myeloid skewing in blood is a biomarker of biological aging in mice and humans

Niemann, J.; Stahl, S.; Sakk, V.; Perez-Correa, J.-F.; Wagner, W.; Jaensch, A.; Rothenbacher, D.; Zheng, Y.; Mulaw, M. A.; Geiger, H.; Vogel, M.

2026-01-22 cell biology
10.64898/2026.01.20.700344 bioRxiv
Show abstract

Myeloid skewing is a central and therefore often cited hallmark of hematopoietic aging. Myeloid skewing refers to an elevated myeloid-to-lymphoid cell ratio in aged compared to young mice. Interestingly, whether the extent of myeloid skewing might be in itself a quantitative biological marker of aging has not been addressed yet, nor whether this parameter has also relevance for the extent of aging in humans. Aged mice with high level of myeloid skewing (>50% myeloid cells in blood) showed accelerated hematopoietic aging compared to mice with a low level of myeloid skewing (<30% of myeloid cells in blood), as well as an increased level of inflammatory cytokines and elevated levels of diseases. Hematopoietic stem cells (HSCs) from mice with high myeloid skewing showed an impaired repopulation capacity. Epigenetic clock analyses demonstrated that mice with a high level of myeloid skewing present with a biological age that is older than their chronological age. In humans, a high degree of myeloid skewing was associated with elevated levels of inflammatory markers, reduced mobility, a greater burden of comorbidities, and an increased mortality hazard ratio. The data support that, besides overall myeloid skewing being a central hallmark of aging in mice, the extent of the frequency of myeloid cells in blood might serve as a biological marker of aging and disease in both mice and humans. Key PointsThe extent of myeloid skewing in aged mice correlates to an increased hematological and epigenetic age and increased disease burden. The extent of myeloid skewing in older adults is associated with an increased hazard ratio of mortality and correlates with higher frailty and inflammatory markers.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.