Evidence map›Paper›PMID 32572998›Full record

ArticleEnvironmental and molecular mutagenesis2020

Human blood PIG-A mutation and micronucleated reticulocyte flow cytometric assays: Method optimization and evaluation of intra- and inter-subject variation.

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 and 1 more

Open access · greenAbstract read
In one paragraph

Article in Environmental and molecular mutagenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Erythrocyte-Based Pig-a Gene Mutation Assay.Methods in molecular biology (Clifton, N.J.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Dorothea K TorousLitron Laboratories, Rochester, New York, USA.
Svetlana L AvlasevichLitron Laboratories, Rochester, New York, USA.
Mona G KhattabDepartment of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Ayesha BaigDepartment of Pediatrics, University of Rochester Medical Center, Rochester, New York, USA.
Lawrence J SaubermannDepartment of Pediatrics, University of Rochester Medical Center, Rochester, New York, USA.
Yuhchyau ChenDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Jeffrey C BemisLitron Laboratories, Rochester, New York, USA.
David P LovellSt. George's, University of London, London, UK.
Vernon E WalkerDepartment of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA.
James T MacGregorToxicology Consulting Services, Bonita Springs, Florida, USA.
Stephen D DertingerLitron Laboratories, Rochester, New York, USA.
Litron Laboratories (United States) · USUniversity of Rochester Medical Center · USBiological Consulting Services (United States) · USSt George's, University of London · GBTexas Children's Hospital · USUniversity of Vermont · US

Funding

Validation of Cross-Species Biomarkers of DNA DamageR44ES028163 · NIEHS · LITRON LABORATORIES, LTD. · PI BEMIS, JEFFREY C, DERTINGER, STEPHEN D · 2018 to 2019
$1.4M
NIEHS NIH HHS R44 ES028163
6 · The paper itself

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.

Indexed as

Micronucleus TestsMutationAdultAgedAnimalsFemaleFlow CytometryHumansMaleMembrane ProteinsMiceMiddle AgedReproducibility of ResultsReticulocytesYoung AdultMembrane Proteinsphosphatidylinositol glycan-class A proteinbiomonitoringchromosomal damageflow cytometrygenotoxicitymutation

Identifiers

PMID32572998
PMCPMC8582004
OpenAlexW3037609149

What Socratic holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.