Evidence map›Paper›PMID 39583858›Full record

ArticleJournal of inflammation research2024

A Novelly-Spatiotemporal Characterization of the Disease Course in the MNU-Induced Retinitis Pigmentosa Model.

Weiming Yan, Qiurui He, Pan Long, Lei Zhang, Haiyan Wang, Tao Chen

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Weiming Yan *Department of Ophthalmology, Fuzong Clinical Medical College of Fujian Medical University, Dongfang Hospital Affiliated to Xiamen University, Fuzhou, People's Republic of China.
Qiurui He *Department of Cardiovascular Intervention, The Third Hospital of Zhangzhou, Zhangzhou, People's Republic of China.
Pan Long *Department of Ophthalmology, The General Hospital of Western Theatre Command, PLA, Chengdu, People's Republic of China.
Lei ZhangDepartment of Ophthalmology, The Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, People's Republic of China.
Haiyan WangDepartment of Ophthalmology, The Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, People's Republic of China.
Tao ChenCenter of Clinical Aerospace Medicine, Air Force Military Medical University, Xi'an, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: With the aids of ophthalmic imaging techniques for animals, the spatiotemporal characterization of MNU-induced retinitis pigmentosa (RP) rats were performed. Methods: Sprague-Dawley (SD) rats were randomly divided into normal group (N), MNU-low-dose group (L) and MNU-high-dose group (H). Rats in the L and H group were given intraperitoneally injection with 40 and 60 mg/kg of MNU, a kind of alkylating agent, respectively. The body weight, electroretinogram (ERG) and retinal structure were observed on day one (D1), D3, and D7 after MNU administration. FFA, OCT, TUNEL staining, and immunostaining of Iba1 were also performed. Results: After MNU injection, the weight and ERG amplitudes of rats in both L and H groups decreased gradually, compared to those of the normal group ( Conclusion: MNU gradually reduced the ONL thickness and the ERG amplitudes in the MNU-induced RP model revealed by various ophthalmic imaging techniques, along with the increased apoptosis of photoreceptors, the microglia cells activation, which provide indicators for new intervention effect for RP.

Indexed as

animal modelmicrogliaN-methyl-N-nitrosourearetinitis pigmentosa

Identifiers

PMID39583858
PMCPMC11586005

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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.