Evidence map›Paper›PMID 40379733›Full record

ArticleScientific reports2025

FISH unveils a unified method for multi-marker biodose assessment.

Rajesh Kumar Chaurasia, K B Shirsath, U S Mungse, N N Bhat, Arshad Khan, B K Sapra

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Article in Scientific reports, 2025. 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Rajesh Kumar ChaurasiaRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India.ORCID http://orcid.org/0000-0002-7825-2588
K B ShirsathRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India.
U S MungseRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India.
N N BhatRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India.
Arshad KhanRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India.
B K SapraRadiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Mumbai, India. bsapra@barc.gov.in.ORCID http://orcid.org/0000-0002-1666-5635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate dose assessment following radiation disasters or accidents is crucial for informed medical interventions. Cytogenetic biomarkers, such as dicentrics (dic), translocations, and chromosomal fragments, are essential for radiation biodosimetry in various exposure scenarios. However, quantifying these markers via separate staining and detection methods presents challenges in terms of efficiency and consistency. This study aimed to quantify multiple cytogenetic markers, including dic, balanced and unbalanced translocations and acentric fragments, from the same metaphases via fluorescence in situ hybridization (FISH). By enabling multimarker dose estimation from a single sample, this approach minimizes interexperimental variation and improves overall accuracy. Independent calibration curves were generated for each marker, enabling precise dose estimation with smaller class intervals, in accordance with the IAEA and ISO guidelines. The method was validated by estimating doses for five blinded samples via both standard cytogenetic methods and protein biomarkers (γH2AX and 53BP1). The multimarker approach yielded the closest estimates with 2-7% variation from true doses, providing the most accurate results among all cytogenetic techniques. This unified FISH-based approach enhances the precision of dose estimation for both recent and past radiation exposures, offering a more reliable tool for diverse biodosimetry applications.

Indexed as

In Situ Hybridization, FluorescenceBiomarkersChromosome AberrationsHistonesHumansRadiometryTranslocation, GeneticBiomarkersHistonesCytogenetic markersDose-repose-calibration curveFluorescence in situ hybridization (FISH)Human radiation-exposure-dosimetryRetrospective biodosimetry

Identifiers

PMID40379733
PMCPMC12084291

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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.