Evidence map›Paper›PMID 37707836›Full record

ArticleInvestigative ophthalmology & visual science2023

Exploring Early-Stage Retinal Neurodegeneration in Murine Pigmentary Glaucoma: Insights From Gene Networks and miRNA Regulation Analyses.

Qingqing Gu, Aman Kumar, Michael Hook, Fuyi Xu, Akhilesh Kumar Bajpai, Athena Starlard-Davenport, Junming Yue, Monica M Jablonski, Lu Lu

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2023. 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. Article
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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

9 authors.

Qingqing GuDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Aman KumarDepartment of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Michael HookDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Fuyi XuDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Akhilesh Kumar BajpaiDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Athena Starlard-DavenportDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Junming YueDepartment of Pathology, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Monica M JablonskiDepartment of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center, Memphis, Tennessee, United States.
Lu LuDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States.

Funding

Genetic Modulators of GlaucomaR01EY021200 · NEI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JABLONSKI, MONICA M · 2011 to 2022
$3.2M
NEI NIH HHS R01 EY021200
6 · The paper itself

Abstract

Purpose: Glaucoma is a group of heterogeneous optic neuropathies characterized by the progressive degeneration of retinal ganglion cells. However, the underlying mechanisms have not been understood completely. We aimed to elucidate the genetic network associated with the development of pigmentary glaucoma with DBA/2J (D2) mouse model of glaucoma and corresponding genetic control D2-Gpnmb (D2G) mice carrying the wild type (WT) Gpnmb allele. Methods: Retinas isolated from 13 D2 and 12 D2G mice were subdivided into 2 age groups: pre-onset (1-6 months: samples were collected at approximately 1-2, 2-4, and 5-6 months) and post-onset (7-15 months: samples were collected at approximately 7-9, 10-12, and 13-15 months) glaucoma were compared. Differential gene expression (DEG) analysis and gene-set enrichment analyses were performed. To identify micro-RNAs (miRNAs) that target Gpnmb, miRNA expression levels were correlated with time point matched mRNA expression levels. A weighted gene co-expression network analysis (WGCNA) was performed using the reference BXD mouse population. Quantitative real-time PCR (qRT-PCR) was used to validate Gpnmb and miRNA expression levels. Results: A total of 314 and 86 DEGs were identified in the pre-onset and post-onset glaucoma groups, respectively. DEGs in the pre-onset glaucoma group were associated with the crystallin gene family, whereas those in the post-onset group were related to innate immune system response. Of 1329 miRNAs predicted to target Gpnmb, 3 miRNAs (miR-125a-3p, miR-3076-5p, and miR-214-5p) were selected. A total of 47 genes demonstrated overlapping with the identified DEGs between D2 and D2G, segregated into their time-relevant stages. Gpnmb was significantly downregulated, whereas 2 out of 3 miRNAs were significantly upregulated (P < 0.05) in D2 mice at both 3-and 10-month time points. Conclusions: These findings suggest distinct gene-sets involved in pre-and post-glaucoma in the D2 mouse. We identified three miRNAs regulating Gpnmb in the development of murine pigmentary glaucoma.

Indexed as

GlaucomaGlaucoma, Open-AngleMicroRNAsAnimalsGene Regulatory NetworksMiceMice, Inbred DBATranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID37707836
PMCPMC10506683

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LicenceCC BY-NC-ND
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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.