Evidence map›Paper›PMID 29805511›Full record

ArticleExperimental and therapeutic medicine2018

Key genes and pathways in measles and their interaction with environmental chemicals.

Rongqiang Zhang, Hualin Jiang, Fengying Li, Ning Su, Yi Ding, Xiang Mao, Dan Ren, Jing Wang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 5 institutions in 2 countries.

Rongqiang ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 712046, P.R. China.
Hualin JiangDepartment of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China.
Fengying LiImmunization Department of Center for Disease Control and Prevention of Xianyang, Xianyang, Shaanxi 712046, P.R. China.
Ning SuDepartment of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China.
Yi DingDepartment of Pharmacy, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China.
Xiang MaoGoDaddy Inc, Sunnyvale, CA 95131, USA.
Dan RenDepartment of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China.
Jing WangDepartment of Epidemiology and Health Statistics, School of Public Health, Shaanxi University of Chinese Medicine, Xi'an, Shaanxi 712046, P.R. China.
Shaanxi University of Chinese Medicine · CNXi'an Jiaotong University · CNXijing Hospital · CNGoDaddy (United States) · USMianyang City Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to explore key genes that may have a role in the pathology of measles virus infection and to clarify the interaction networks between environmental factors and differentially expressed genes (DEGs). After screening the database of the Gene Expression Omnibus of the National Center for Biotechnology Information, the dataset GSE5808 was downloaded and analyzed. A global normalization method was performed to minimize data inconsistencies and heterogeneity. DEGs during different stages of measles virus infection were explored using R software (v3.4.0). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the DEGs were performed using Cytoscape 3.4.0 software. A protein-protein interaction (PPI) network of the DEGs was obtained from the STRING database v9.05. A total of 43 DEGs were obtained from four analyzed sample groups, including 10 highly expressed genes and 33 genes with decreased expression. The most enriched pathways based on KEGG analysis were fatty acid elongation, cytokine-cytokine receptor interaction and RNA degradation. The genes mentioned in the PPI network were mainly associated with protein binding and chemokine activity. A total of 219 chemicals were identified that may, jointly or on their own, interact with the 6 DEGs between the control group and patients with measles (at hospital entry), including benzo(a)pyrene (BaP) and tetrachlorodibenzodioxin (TCDD). In conclusion, the present study revealed that chemokines and environmental chemicals, e.g. BaP and TCDD, may affect the development of measles.

Indexed as

and measlesdifferentially expressed genesenvironmental risk factors

Identifiers

PMID29805511
PMCPMC5958750
OpenAlexW2797673690

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.