Evidence map›Paper›PMID 39570918›Full record

ArticlePloS one2024

Cross-species conserved miRNA as biomarker of radiation injury over a wide dose range using nonhuman primate model.

Nabarun Chakraborty, George Dimitrov, Swapna Kanan, Alexander Lawrence, Candance Moyler, Aarti Gautam, Oluseyi O Fatanmi, Stephen Y Wise, Alana D Carpenter, Rasha Hammamieh and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Nabarun ChakrabortyMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
George DimitrovMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Swapna KananMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Alexander LawrenceMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Candance MoylerMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Aarti GautamMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Oluseyi O FatanmiDivision of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America.
Stephen Y WiseDivision of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America.
Alana D CarpenterDivision of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America.
Rasha HammamiehMedical Readiness Systems Biology, CMPN, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Vijay K SinghDivision of Radioprotectants, Department of Pharmacology and Molecular Therapeutics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States of America.ORCID 0000-0002-6631-3849

Funding

NIAID NIH HHS VKS AAI12044‐001‐07000NIAID NIH HHS VKS AFR-B4-10978
6 · The paper itself

Abstract

Multiple accidents in nuclear power plants and the growing concerns about the misuse of radiation exposure in warfare have called for the rapid determination of absorbed radiation doses (RDs). The latest findings about circulating microRNA (miRNAs) using several animal models revealed considerable promises, although translating this knowledge to clinics remains a major challenge. To address this issue, we randomly divided 36 nonhuman primates (NHPs) into six groups and exposed these groups to six different radiation doses ranging from 6.0-8.5 Gy in increments of 0.5 Gy. Serum samples were collected pre-irradiation as well as three post-irradiation timepoints, namely 1, 2 and 6 days post-total body irradiation (TBI). Generated from a deep sequencing platform, the miRNA reads were multi-variate analyzed to find the differentially expressed putative biomarkers that were linked to RDs, time since irradiation (TSI) and sex. To increase these biomarkers' translational potential, we aligned the NHP-miRNAs' sequences and their functional responses to humans following an in-silico routine. Those miRNAs, which were sequentially and functionally conserved between NHPs and humans, were down selected for further analysis. A linear regression model identified miRNA markers that were consistently regulated with increasing RD but independent TSI. Likewise, a set of potential TSI-markers were identified that consistently shifted with increasing TSI, but independent of RD. Additional molecular analysis found a considerable gender bias in the low-ranges of doses when the risk to radiation-induced fatality was low. Bionetworks linked to cell quantity and cell invasion were significantly altered between the survivors and decedents. Using these biomarkers, an assay could be developed to retrospectively determine the RD and TSI with high translational potential. Ultimately, this knowledge can lead to precise and personalized medicine.

Indexed as

BiomarkersMicroRNAsAnimalsDose-Response Relationship, RadiationFemaleHumansMacaca mulattaMalePrimatesRadiation InjuriesSpecies SpecificityWhole-Body IrradiationBiomarkersMicroRNAs

Identifiers

PMID39570918
PMCPMC11581275

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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.