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Zmuda, J. M.

Publications and source records attributed to Zmuda, J. M..

2 recordsLinked to original sources

Erythrocyte Count and the Human Natural Lifespan Limit: Evidence from the Long Life Family Study

Erythropoiesis is the most replication-intensive process in the body. Its lifelong replicative demands may erode hematopoietic cells replicative capacity, leading to a decline in erythrocyte count (EC) in older adults and limiting their lifespan. We examined the relationship between EC and mortality among 1,620 participants aged [≥]70 years in the Long Life Family Study and found that lower EC further augmented the exponential, age-dependent rise in mortality. We identified an EC threshold (ECT) (3.8x1012/L) below which mortality was amplified (p=9.3x10-6). As EC declined with age (p=8.2x10-18), it fell below this threshold in many participants, sharply increasing their mortality risk. This mortality-based ECT emerged from modeling, independent of the World Health Organization anemia definition, which is based on statistical thresholds (5th centiles) of hemoglobin distribution in populations [≤] 65 years. Thus, declining EC may be one of the biological factors imposing a natural lifespan limit on many older adults.

physiology↗

A Novel Gene ARHGAP44 for Longitudinal Changes in Glycated Hemoglobin (HbA1c) in Subjects without Type 2 Diabetes: Evidence from the Long Life Family Study (LLFS) and the Framingham Offspring Study (FOS)

Glycated hemoglobin (HbA1c) indicates average glucose levels over three months and is associated with insulin resistance and type 2 diabetes (T2D). Longitudinal changes in HbA1c ({Delta}HbA1c) are also associated with aging processes, cognitive performance, and mortality. We analyzed {Delta}HbA1c in 1,886 non-diabetic Europeans from the Long Life Family Study to uncover gene variants influencing {Delta}HbA1c. Using growth curve modeling adjusted for multiple covariates, we derived {Delta}HbA1c and conducted linkage-guided sequence analysis. Our genome-wide linkage scan identified a significant locus on 17p12. In-depth analysis of this locus revealed a variant rs56340929 (explaining 27% of the linkage peak) in the ARHGAP44 gene that was significantly associated with {Delta}HbA1c. RNA transcription of ARHGAP44 was associated with {Delta}HbA1c. The Framingham Offspring Study data further supported these findings on the gene level. Together, we found a novel gene ARHGAP44 for {Delta}HbA1c in family members without T2D. Follow-up studies using longitudinal omics data in large independent cohorts are warranted.

genetics↗