Evidence map›Paper›PMID 27846229›Full record

ArticlePloS one2016

MicroRNA Expression for Early Prediction of Late Occurring Hematologic Acute Radiation Syndrome in Baboons.

Matthias Port, Francis Herodin, Marco Valente, Michel Drouet, Reinhard Ullmann, Sven Doucha-Senf, Andreas Lamkowski, Matthäus Majewski, Michael Abend

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    Review
  7. Review
  8. Article
  9. MicroRNA: a novel implication for damage and protection against ionizing radiation.Environmental science and pollution research international · 2021
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Radiation and Thyroid Cancer.International journal of molecular sciences · 2017
    Review
  17. 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

9 authors at 2 institutions in 1 country.

Matthias PortBundeswehr Institute of Radiobiology, Munich, Germany.
Francis HerodinInstitut de Recherche Biomedicale des Armees, Bretigny-sur-Orge, France.
Marco ValenteInstitut de Recherche Biomedicale des Armees, Bretigny-sur-Orge, France.
Michel DrouetInstitut de Recherche Biomedicale des Armees, Bretigny-sur-Orge, France.
Reinhard UllmannBundeswehr Institute of Radiobiology, Munich, Germany.
Sven Doucha-SenfBundeswehr Institute of Radiobiology, Munich, Germany.
Andreas LamkowskiBundeswehr Institute of Radiobiology, Munich, Germany.
Matthäus MajewskiBundeswehr Institute of Radiobiology, Munich, Germany.
Michael AbendBundeswehr Institute of Radiobiology, Munich, Germany.
Bundeswehr Medical Service Academy · DEInstitut für Radiobiologie der Bundeswehr

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For effective medical management of radiation-exposed persons after a radiological/nuclear event, blood-based screening measures in the first few days that could predict hematologic acute radiation syndrome (HARS) are needed. For HARS severity prediction, we used microRNA (miRNA) expression changes measured on days one and two after irradiation in a baboon model. Eighteen baboons underwent different patterns of partial or total body irradiation, corresponding to an equivalent dose of 2.5 or 5 Gy. According to changes in blood cell counts (BCC) the surviving baboons (n = 17) exhibited mild (H1-2, n = 4) or more severe (H2-3, n = 13) HARS. In a two Stage study design we screened 667 miRNAs using a quantitative real-time polymerase chain reaction (qRT-PCR) platform. In Stage II we validated candidates where miRNAs had to show a similar regulation (up- or down-regulated) and a significant 2-fold miRNA expression difference over H0. Seventy-two candidate miRNAs (42 for H1-2 and 30 for H2-3) were forwarded for validation. Forty-two of the H1-2 miRNA candidates from the screening phase entered the validation step and 20 of them showed a statistically significant 2-4 fold up-regulation relative to the unexposed reference (H0). Fifteen of the 30 H2-3 miRNAs were validated in Stage II. All miRNAs appeared 2-3 fold down-regulated over H0 and allowed an almost complete separation of HARS categories; the strongest candidate, miR-342-3p, showed a sustained and 10-fold down-regulation on both days 1 and 2. In summary, our data support the medical decision making of the HARS even within the first two days after exposure where diagnostic tools for early medical decision are required but so far missing. The miRNA species identified and in particular miR-342-3p add to the previously identified mRNAs and complete the portfolio of identified mRNA and miRNA transcripts for HARS prediction and medical management.

Indexed as

Acute Radiation SyndromeAnimalsGene Expression ProfilingMaleMicroRNAsPapioRadiation ExposureReal-Time Polymerase Chain ReactionReproducibility of ResultsRNARNA, MessengerTime FactorsMicroRNAsRNARNA, Messenger

Identifiers

PMID27846229
PMCPMC5113049
OpenAlexW2551668842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.