Evidence map›Paper›PMID 39164366›Full record

ArticleScientific reports2024

BAX and DDB2 as biomarkers for acute radiation exposure in the human blood ex vivo and non-human primate models.

Karthik Kanagaraj, Michelle A Phillippi, Elizabeth H Ober, Igor Shuryak, Norman J Kleiman, John Olson, George Schaaf, J Mark Cline, Helen C Turner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

9 authors.

Karthik KanagarajCenter for Radiological Research, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, 10032, USA. kk3581@cumc.columbia.edu.
Michelle A PhillippiCenter for Radiological Research, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Elizabeth H OberCenter for Radiological Research, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Igor ShuryakCenter for Radiological Research, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Norman J KleimanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA.
John OlsonDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
George SchaafDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
J Mark ClineDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Helen C TurnerCenter for Radiological Research, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, 10032, USA. ht2231@cumc.columbia.edu.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AMUNDSON, SALLY A. · 2005 to 2024
$105.4M
The Wake Forest Nonhuman Primate Radiation Survivor CohortU01AI150578 · NIAID · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI J. MARK CLINE · 2020 to 2026
$23.7M
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
National Institute of Allergy and Infectious Diseases U19-AI06777NIAID NIH HHS U01 AI148309NIAID NIH HHS U01 AI150578NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

There are currently no available FDA-cleared biodosimetry tools for rapid and accurate assessment of absorbed radiation dose following a radiation/nuclear incident. Previously we developed a protein biomarker-based FAST-DOSE bioassay system for biodosimetry. The aim of this study was to integrate an ELISA platform with two high-performing FAST-DOSE biomarkers, BAX and DDB2, and to construct machine learning models that employ a multiparametric biomarker strategy for enhancing the accuracy of exposure classification and radiation dose prediction. The bioassay showed 97.92% and 96% accuracy in classifying samples in human and non-human primate (NHP) blood samples exposed ex vivo to 0-5 Gy X-rays, respectively up to 48 h after exposure, and an adequate correlation between reconstructed and actual dose in the human samples (R

Indexed as

bcl-2-Associated X ProteinBiomarkersDNA-Binding ProteinsAnimalsFemaleHumansMacaca mulattaMachine LearningMaleRadiation DosageRadiation ExposureRadiometryBAX protein, humanbcl-2-Associated X ProteinBiomarkersDDB2 protein, humanDNA-Binding ProteinsBiodosimetryELISAIntracellular proteinsMachine learningProtein biomarkersRadiation

Identifiers

PMID39164366
PMCPMC11336173

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.