Evidence map›Paper›PMID 40144808›Full record

ArticleDose-response : a publication of International Hormesis Society

Unprecedented Approach for Using Misoprostol Alongside Low-Dose Gamma Radiation to Alleviate Paraquat-Induced Pulmonary Injury in Rats.

Ahmed H Youssef, Heba H Mansour, Wafaa Gh Shousha, Shereen M Galal, Sara M Abdo

Abstract read
In one paragraph

Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ahmed H YoussefHealth Radiation Research Department, National Centre for Radiation Research & Technology, Egyptian Atomic Energy Authority, Cairo, Egypt.ORCID https://orcid.org/0000-0002-4747-425X
Heba H MansourHealth Radiation Research Department, National Centre for Radiation Research & Technology, Egyptian Atomic Energy Authority, Cairo, Egypt.ORCID https://orcid.org/0000-0002-6417-7468
Wafaa Gh ShoushaDepartment of Chemistry, Faculty of Science, Helwan University, Cairo, Egypt.
Shereen M GalalHealth Radiation Research Department, National Centre for Radiation Research & Technology, Egyptian Atomic Energy Authority, Cairo, Egypt.
Sara M AbdoDepartment of Chemistry, Faculty of Science, Helwan University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Abrupt inflammation and alveolar epithelial membrane damage, which may cause the alveolar membrane's malfunction, are related to acute lung injury (ALI). This could eventually lead to pulmonary fibrosis. While lung injury can happen in many ways, the current study will concentrate on the changes in lung pathology mediated by paraquat (PQ). Paraquat, a widely used herbicide, targets lung toxicity through inflammation and oxidative stress, which significantly contribute to lung damage. Objective: The current research was to ascertain whether low-dose gamma radiation (R) and misoprostol (MP) could lessen the lung inflammatory cascade started by PQ injection in rats. Methods: The ALI model was induced by I.P. injection of PQ (20 mg/kg once), and then treatment was done by MP and/or R for 14 days, and finally, the biochemical and histological parameters were measured in the lung tissues. Results: Our data suggest that PQ can promote ALI through TGF-β/smad, Notch, NF-κB, and ET-1 signaling pathways, resulting in EMT. These suggestions were supported by increased levels of TGF-β, inflammatory cytokines, α-SMA, NF-κB, ET-1, CTGF protein, and LPA, whereas PPAR-γ decreased. The aforementioned results have been confirmed by lung histopathology. Conclusion: We suggest that the pulmonary inflammatory cascade was hindered and all the previously described gauges improved with R and/or MP therapy.

Indexed as

acute lung injuryepithelial mesenchymal transitiongamma-irradiationmisoprostolparaquat

Identifiers

PMID40144808
PMCPMC11938468

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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.