title: Synchrony of telomere length among hematopoietic cells.
abstract: OBJECTIVE
  Little is known about the relationship of telomere length among leukocyte subsets and cells up the hematopoietic hierarchy. This information is relevant because telomere dynamics in granulocytes were postulated to mirror those of hematopoietic stem cells (HSCs).
  
  
  METHODS
  In newborn umbilical cord blood (UCB), we examined the relationships of telomere length in hematopoietic progenitor cells (HPCs) (CD34(+)CD45(-)) with those in T lymphocytes and granulocytes. In addition, we correlated telomere length in granulocytes with those in whole leukocyte samples of individuals ranging in age from birth to 100 years.
  
  
  RESULTS
  In the UCB, we found strong correlations of telomere length in HPCs with telomere length in T lymphocytes (r ranging from 0.882 to 0.935; p ranging from 0.0038 to 0.0007) and in granulocytes (r = 0.930; p = 0.0072). At birth, strong correlations were also observed between telomere length in granulocytes and those in all leukocytes (r = 0.979; p = 0.0003). Throughout the human lifespan, the relationship between telomere length in granulocytes and that in all leukocytes was r > 0.980 and p < 0.0001.
  
  
  CONCLUSIONS
  Robust synchrony exists among leukocyte subsets throughout the human lifespan; individuals with relatively long (or short) telomeres in one leukocyte subset have long (or short) telomeres in other leukocyte subsets. Moreover, telomere length in leukocytes reflects its length in cells up the hematopoietic hierarchy, i.e., HPCs and, by inference, HSCs. Strong links have been found by many studies between leukocyte telomere length and a host of aging-related diseases. Our findings suggest, therefore, that these links might be traced to telomere dynamics in HSCs.
authors.affiliation: The Center of Human Development and Aging, University of Medicine and Dentistry of New Jersey, New Jersey Medical School, Newark, NJ 07103 , USA.
authors.forename: Masayuki
authors.initials: M
authors.lastname: Kimura
authors.forename: Yair
authors.initials: Y
authors.lastname: Gazitt
authors.forename: Xiaojian
authors.initials: X
authors.lastname: Cao
authors.forename: Xiangru
authors.initials: X
authors.lastname: Zhao
authors.forename: Peter M
authors.initials: PM
authors.lastname: Lansdorp
authors.forename: Abraham
authors.initials: A
authors.lastname: Aviv
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D018952:Antigens, CD34 / Q000097:blood; D002648:Child; D002675:Child, Preschool; D005260:Female; D005312:Fetal Blood / Q000166:cytology / Q000378:metabolism; D005434:Flow Cytometry; D005455:Fluorescent Antibody Technique; D006098:Granulocytes / Q000378:metabolism; D006412:Hematopoietic Stem Cells / Q000378:metabolism*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007962:Leukocytes / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D013601:T-Lymphocytes / Q000378:metabolism; D016615:Telomere / Q000235:genetics*; D055815:Young Adult
chemical_list: D018952:Antigens, CD34