Article in Antioxidants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
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.
Yaoxiang LiDepartment of Oncology, Lombardi Comprehensive Cancer Centre, Georgetown University Medical Center, Washington, DC 20057, USA.ORCID 0000-0001-9200-1016
Shivani BansalDepartment of Oncology, Lombardi Comprehensive Cancer Centre, Georgetown University Medical Center, Washington, DC 20057, USA.ORCID 0000-0002-5095-5687
Baldev SinghDepartment of Oncology, Lombardi Comprehensive Cancer Centre, Georgetown University Medical Center, Washington, DC 20057, USA.
Meth M JayatilakeDepartment of Oncology, Lombardi Comprehensive Cancer Centre, Georgetown University Medical Center, Washington, DC 20057, USA.ORCID 0000-0002-5780-9391
William KlotzbierDepartments of Biochemistry, Molecular, and Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA.
Marjan BoermaDivision of Radiation Health, Department of Pharmaceutical Sciences, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-2249-5203
Mi-Heon LeeDepartment of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90024, USA.ORCID 0000-0002-9938-0618
Jacob HackDepartment of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90024, USA.ORCID 0000-0003-2227-3846
Keisuke S IwamotoDepartment of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90024, USA.ORCID 0000-0002-9290-4677
Dörthe SchaueDepartment of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90024, USA.ORCID 0000-0002-5674-678X
Amrita K CheemaDepartment of Oncology, Lombardi Comprehensive Cancer Centre, Georgetown University Medical Center, Washington, DC 20057, USA.ORCID 0000-0003-4877-7583
Funding
Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Robert Damoiseaux · 1985 to 2026
$134.5M
Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
The Role o f Tetrahydrobiopterin (BH4) Bioavailability in Radiation-induced Skin InjuryP20GM109005 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN · 2015 to 2024
$21.1M
The Protein C Pathway in Mitigation of Radiation-Induced Endothelial and Vascular DysfunctionU01AI133561 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, GRIFFIN, JOHN H · 2017 to 2021
$3.3M
Project-002U01AI148308 · NIAID · UNIV OF ARKANSAS FOR MED SCIS · PI BOERMA, MARJAN, CHEEMA, AMRITA KAUR · 2020 to 2024
$2.8M
Acute radiation injury alters microRNA profiles that predict late tissue-specific damageU01AI148322 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAUE, DORTHE · 2020 to 2024
Exposure to ionizing radiation disrupts metabolic pathways and causes oxidative stress, which can lead to organ damage. In this study, urinary metabolites from mice exposed to high-dose and low-dose whole-body irradiation (WBI HDR, WBI LDR) or partial-body irradiation (PBI BM2.5) were analyzed using targeted and untargeted metabolomics approaches. Significant metabolic changes particularly in oxidative stress pathways were observed on Day 2 post-radiation. By Day 30, the WBI HDR group showed persistent metabolic dysregulation, while the WBI LDR and PBI BM2.5 groups were similar to control mice. Machine learning models identified metabolites that were predictive of the type of radiation exposure with high accuracy, highlighting their potential use as biomarkers for radiation damage and oxidative stress.
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.
Distinct Urinary Metabolite Signatures Mirror In Vivo Oxidative Stress-Related Radiation Responses in Mice. · full record | OpenQuestion