Evidence map›Paper›PMID 36947602›Full record

ArticleInternational journal of radiation biology2023

Combined radiation injury and its impacts on radiation countermeasures and biodosimetry.

Juliann G Kiang, William F Blakely

Abstract read
In one paragraph

Article in International journal of radiation biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. DAMPs and radiation injury.Frontiers in immunology · 2024
    Review
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Juliann G KiangRadiation Combined Injury Program, Scientific Research Department, Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.ORCID 0000-0002-3904-2350
William F BlakelyBiodosimetry Program, Scientific Research Department, Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.ORCID 0000-0001-8969-3330
Uniformed Services University of the Health Sciences · US

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AMUNDSON, SALLY A. · 2005 to 2024
$105.4M
Ciprofloxacin enhances DNA repair capacity after radiation combined injuryR33AI080553 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI KIANG, JULIANN GONG · 2010 to 2012
$1.1M
Ciprofloxacin enhances DNA repair capacity after radiation combined injuryR21AI080553 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI KIANG, JULIANN GONG · 2008 to 2009
$378k
NIAID NIH HHS R21 AI080553NIAID NIH HHS R33 AI080553NIAID NIH HHS U19 AI067773NIAID NIH HHS Y01 AI005045
6 · The paper itself

Abstract

purposePreparedness for medical responses to major radiation accidents and the increasing threat of nuclear warfare worldwide necessitates an understanding of the complexity of combined radiation injury (CI) and identifying drugs to treat CI is inevitably critical. The vital sign and survival after CI were presented. The molecular mechanisms, such as microRNA pathways, NF-κB-iNOS-IL-18 pathway, C3 production, the AKT-MAPK cross-talk, and TLR/MMP increases, underlying CI in relation to organ injury and mortality were analyzed. At present, no FDA-approved drug to protect, mitigate, or treat CI is available. The development of CI-specific medical countermeasures was reviewed. Because of the worsened acute radiation syndrome resulting from CI, diagnostic triage can be problematic. Therefore, biodosimetry and CI are bundled together with the need to establish effective triage methods with CI.

conclusionsCI mouse model studies at AFRRI are reviewed addressing molecular responses, findings from medical countermeasures, and a proposed plasma proteomic biodosimetry approach based on a panel of radiation-responsive biomarkers (i.e., CD27, Flt-3L, GM-CSF, CD45, IL-12, TPO) negligibly influenced by wounding in an algorithm used for dose predictions is described.

Indexed as

Acute Radiation SyndromeMicroRNAsRadioactive Hazard ReleaseAnimalsMiceProteomicsTriageMicroRNAsacute radiation syndromebiodosimetryCombined radiation injurymechanismsmedical countermeasureswounding

Identifiers

PMID36947602
PMCPMC10947598
OpenAlexW4353040698

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.