Evidence map›Paper›PMID 40383530›Full record

ArticleRadiation research2025

Sex Differences in Urinary Metabolite Profiles between Survivors and Non-Survivors of Radiation-induced Lung Injury in the C57L/J Murine Model.

Evan L Pannkuk, Evagelia C Laiakis, Guy Y Garty, Igor Shuryak, Kamendra Kumar, Shubhankar Suman, Shanaz A Ghandhi, Yuewen Tan, Brian Ponnaiya, Xuefeng Wu and 3 more

Abstract read
In one paragraph

Article in Radiation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. Review
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

13 authors.

Evan L PannkukDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
Evagelia C LaiakisDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
Guy Y GartyRadiological Research Accelerator Facility, Columbia University, Irvington, New York.
Igor ShuryakCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
Kamendra KumarDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
Shubhankar SumanDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
Shanaz A GhandhiCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
Yuewen TanCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
Brian PonnaiyaRadiological Research Accelerator Facility, Columbia University, Irvington, New York.
Xuefeng WuCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
Sally A AmundsonCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
David J BrennerCenter for Radiological Research, Columbia University Irving Medical Center, New York, New York.
Albert J FornaceDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.

Funding

Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AMUNDSON, SALLY A. · 2005 to 2024
$105.4M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
NCI NIH HHS P30 CA051008NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

Novel biodosimetry assays are needed to categorize both acute ionizing radiation injury and delayed effects of radiation exposure, such as radiation-induced lung injury (RILI) -associated mortality. In this study, we utilized the C57L/J mouse model, a well-established system for replicating the clinical pathology of RILI. Lung injury was induced using a combination of neutron total-body irradiation (TBI) (30% of total dose +7% of total dose concomitant gamma rays) and whole-thoracic X-irradiation (WTI) boost for the balance of the required dose at total doses of 9, 9.5, 10 and 10.5 Gy. The animals were monitored for a period of 180 days postirradiation to evaluate the progression of injury. Both male and female mice were included in the study, with cohorts exposed to either sham dose (0 Gy) or 100% X-ray WTI at 11.35 Gy (LD50/180 dose) to serve as controls. Tissue injury was characterized using whole-body plethysmography, histopathology, and targeted lipidomics. Urinary metabolites were detected using untargeted metabolomic profiling to determine if they could serve as early predictors of RILI survival. A survival rate of 40-45% was observed at 180 days postirradiation consistent with the established LD50/180 value for WTI (11.35 Gy), except at 10.5 Gy, where survival dropped to 20%. Irradiated mice exhibited increased pulmonary immune infiltration and collagen deposition, reduced alveolar spaces, thickened bronchiolar walls, and dose-independent alterations in lipid profiles that were not sex-specific. We developed a multiplex urinary metabolite panel that was associated with RILI and radiation exposure. Some compounds were statistically different between sham-irradiated male and female mice, with sex specific differences at 120 days were observed for homocitrulline, xanthosine, acetyl-arginine, methylhistidine, niacinamide, xanthurenic acid, cyclic adenosine monophosphate, taurine, and prolyl-proline urinary metabolite levels. Baseline differences in sham-irradiated C57L/J mice show sex needs to be considered as a variable when developing biomarker panels for long-term RILI effects. However, urinary metabolite panels can provide excellent to very good sensitivity and specificity at predicting survival from RILI.

Indexed as

Lung InjuryMetabolomeRadiation Injuries, ExperimentalSex CharacteristicsAnimalsDisease Models, AnimalFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID40383530
PMCPMC12343175

What OpenQuestion holds

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Registered trials

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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.