Evidence map›Paper›PMID 28627690›Full record

ArticleMolecular medicine reports2017

Data mining and pathway analysis of glucose-6-phosphate dehydrogenase with natural language processing.

Long Chen, Chunhua Zhang, Yanling Wang, Yuqian Li, Qiaoqiao Han, Huixin Yang, Yuechun Zhu

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. 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
1.2field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  3. Review
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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

7 authors at 1 institution in 1 country.

Long ChenDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Chunhua ZhangDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Yanling WangDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Yuqian LiDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Qiaoqiao HanDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Huixin YangDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Yuechun ZhuDepartment of Biochemistry and Molecular Biology of Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human glucose-6-phosphate dehydrogenase (G6PD) is a crucial enzyme in the pentose phosphate pathway, and serves an important role in biosynthesis and the redox balance. G6PD deficiency is a major cause of neonatal jaundice and acute hemolyticanemia, and recently, G6PD has been associated with diseases including inflammation and cancer. The aim of the present study was to conduct a search of the National Center for Biotechnology Information PubMed library for articles discussing G6PD. Genes that were identified to be associated with G6PD were recorded, and the frequency at which each gene appeared was calculated. Gene ontology (GO), pathway and network analyses were then performed. A total of 98 G6PD‑associated genes and 33 microRNAs (miRNAs) that potentially regulate G6PD were identified. The 98 G6PD‑associated genes were then sub‑classified into three functional groups by GO analysis, followed by analysis of function, pathway, network, and disease association. Out of the 47 signaling pathways identified, seven were significantly correlated with G6PD‑associated genes. At least two out of four independent programs identified the 33 miRNAs that were predicted to target G6PD. miR‑1207‑5P, miR‑1 and miR‑125a‑5p were predicted by all four software programs to target G6PD. The results of the present study revealed that dysregulation of G6PD was associated with cancer, autoimmune diseases, and oxidative stress‑induced disorders. These results revealed the potential roles of G6PD‑regulated signaling and metabolic pathways in the etiology of these diseases.

Indexed as

Data MiningNatural Language ProcessingGene OntologyGene Regulatory NetworksGlucosephosphate DehydrogenaseGlucosephosphate Dehydrogenase DeficiencyHumansMetabolic Networks and PathwaysMicroRNAsSignal TransductionGlucosephosphate DehydrogenaseMicroRNAs

Identifiers

PMID28627690
PMCPMC5562079
OpenAlexW2624745442

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.