Evidence map›Paper›PMID 33874942›Full record

ArticleBMC medical genomics2021

Gene network analyses unveil possible molecular basis underlying drug-induced glaucoma.

Ruo-Fan Ding, Qian Yu, Ke Liu, Juan Du, Hua-Jun Yin, Zhi-Liang Ji

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. 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
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Ruo-Fan Ding *State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China.
Qian Yu *State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China.
Ke LiuState Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China.
Juan DuState Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China.
Hua-Jun YinState Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China.
Zhi-Liang JiState Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, Fujian, People's Republic of China. appo@xmu.edu.cn.
Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-induced glaucoma (DIG) is a kind of serious adverse drug reaction that can cause irreversible blindness. Up-to-date, the molecular mechanism of DIG largely remains unclear yet due to the medical complexity of glaucoma onset.

methodsIn this study, we conducted data mining of tremendous historical adverse drug events and genome-wide drug-regulated gene signatures to identify glaucoma-associated drugs. Upon these drugs, we carried out serial network analyses, including the weighted gene co-expression network analysis (WGCNA), to illustrate the gene interaction network underlying DIG. Furthermore, we applied pathogenic risk assessment to discover potential biomarker genes for DIG.

resultsAs the results, we discovered 13 highly glaucoma-associated drugs, a glaucoma-related gene network, and 55 glaucoma-susceptible genes. These genes likely played central roles in triggering DIGs via an integrative mechanism of phototransduction dysfunction, intracellular calcium homeostasis disruption, and retinal ganglion cell death. Further pathogenic risk analysis manifested that a panel of nine genes, particularly OTOF gene, could serve as potential biomarkers for early-onset DIG prognosis.

conclusionsThis study elucidates the possible molecular basis underlying DIGs systematically for the first time. It also provides prognosis clues for early-onset glaucoma and thus assists in designing better therapeutic regimens.

Indexed as

Gene Regulatory NetworksGlaucomaBiomarkersDrug-Related Side Effects and Adverse ReactionsGene Expression ProfilingHumansBiomarkersAdverse drug reactionDrug-induced glaucomaGlaucoma biomarkersThe weighted gene co-expression network analysis

Identifiers

PMID33874942
PMCPMC8056654
OpenAlexW3156138631

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Registered trials

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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.