Human blood PIG-A mutation and micronucleated reticulocyte flow cytometric assays: Method optimization and evaluation of intra- and inter-subject variation |
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Authors: | Dorothea K. Torous Svetlana L. Avlasevich Mona G. Khattab Ayesha Baig Lawrence J. Saubermann Yuhchyau Chen Jeffrey C. Bemis David P. Lovell Vernon E. Walker James T. MacGregor Stephen D. Dertinger |
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Affiliation: | 1. Litron Laboratories, Rochester, New York, USA;2. Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA;3. Department of Pediatrics, University of Rochester Medical Center, Rochester, New York, USA;4. Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA;5. St. George's, University of London, London, UK;6. Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA;7. Toxicology Consulting Services, Bonita Springs, Florida, USA |
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Abstract: | We previously described flow cytometry-based methods for scoring the incidence of micronucleated reticulocytes (MN-RET) and PIG-A mutant phenotype reticulocytes (MUT RET) in rodent and human blood samples. The current report describes important methodological improvements for human blood analyses, including immunomagnetic enrichment of CD71-positive reticulocytes prior to MN-RET scoring, and procedures for storing frozen blood for later PIG-A analysis. Technical replicate variability in MN-RET and MUT RET frequencies based on blood specimens from 14 subjects, intra-subject variability based on serial blood draws from 6 subjects, and inter-subject variation based on up to 344 subjects age 0 to 73 years were quantified. Inter-subject variation explained most of the variability observed for both endpoints (≥77%), with much lower intra-subject and technical replicate variability. The relatively large degree of inter-subject variation is apparent from mean and standard deviation values for MN-RET (0.15 ± 0.10%) and MUT RET (4.7 ± 5.0 per million, after omission of two extreme outliers). The influences of age and sex on inter-subject variation were investigated, and neither factor affected MN-RET whereas both influenced MUT RET frequency. The lowest MUT RET values were observed for subjects <11 years old, and males had moderately higher frequencies than females. These results indicate that MN-RET and MUT RET are automation-compatible biomarkers of genotoxicity that bridge species of toxicological interest to include human populations. These data will be useful for appropriately designing future human studies that include these biomarkers of genotoxicity, and highlight the need for additional work aimed at identifying the sources of inter-individual variability reported herein. |
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Keywords: | biomonitoring chromosomal damage flow cytometry genotoxicity mutation |
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