Evidence map›Paper›PMID 37561730›Full record

ArticlePloS one2023

Development of a human peripheral blood ex vivo model for rapid protein biomarker detection and applications to radiation biodosimetry.

Leah Nemzow, Thomas Boehringer, Bezalel Bacon, Helen C Turner

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Microfluidic Isolation of Aptamers for Intracellular Measurement of Radio-Responsive Proteins.Radiation (Multidisciplinary Digital Publishing Institute) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

4 authors.

Leah NemzowCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America.ORCID 0000-0002-3561-0920
Thomas BoehringerCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America.
Bezalel BaconCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America.ORCID 0000-0001-7571-2764
Helen C TurnerCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York, United States of America.

Funding

Development of FAST-DOSE assay system for the rapid assessment of acute radiation exposure, individual radiosensitivity and injury in victims for a large-scale radiological incidentU01AI148309 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TURNER, HELEN C · 2020 to 2024
$3.2M
NIAID NIH HHS U01 AI148309
6 · The paper itself

Abstract

In the event of a widespread radiological incident, thousands of people may be exposed to a wide range of ionizing radiation. In this unfortunate scenario, there will be a need to quickly screen a large number of people to assess the amount of radiation exposure and triage for medical treatment. In our earlier work, we previously identified and validated a panel of radiosensitive protein biomarkers in blood leukocytes, using the humanized-mouse and non-human primate (NHP) models. The objective of this work was to develop a high-throughput imaging flow-cytometry (IFC) based assay for the rapid measurement of protein biomarker expression in human peripheral blood samples irradiated ex vivo. In this assay design, peripheral human blood samples from healthy adult donors were exposed to 0-5 Gy X-irradiation ex vivo and cultured for up to 2 days. Samples were stained with a cocktail of surface antigens (CD66b, CD20, and CD3), fixed and permeabilized, and intracellularly stained for BAX (Bcl-2-associated X) protein, used here as a representative biomarker. Samples were interrogated by IFC, and a uniform analysis template was created to measure biomarker expression in heterogeneous and specific leukocyte subtype populations at each time point. In this human blood ex vivo model, we show that within gated populations of leukocyte subtypes, B-cells are highly radiosensitive with the smallest surviving fraction, followed by T-cells and granulocytes. Dose-dependent biomarker responses were measured in the lymphocytes, B-, and T-cell populations, but not in the granulocytes, with dose-response curves showing increasing fold changes in BAX protein expression up to Day 2 in lymphocyte populations. We present here the successful use of this ex vivo model for the development of radiation dose-response curves of a candidate protein biomarker towards future applications of dose reconstruction and biodosimetry.

Indexed as

LymphocytesPrimatesAdultAnimalsBiomarkersDose-Response Relationship, RadiationHumansMiceRadiation DosageRadiometryBiomarkers

Identifiers

PMID37561730
PMCPMC10414586

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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 OpenQuestion graph.