Evidence map›Paper›PMID 27162656›Full record

ArticleJournal of thoracic disease2016

Plasma microRNAs expression profile in female workers occupationally exposed to mercury.

Enmin Ding, Qiuni Zhao, Ying Bai, Ming Xu, Liping Pan, Qingdong Liu, Bosheng Wang, Xianping Song, Jun Wang, Lin Chen and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Enmin Ding1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Qiuni Zhao1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Ying Bai1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Ming Xu1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Liping Pan1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Qingdong Liu1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Bosheng Wang1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Xianping Song1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Jun Wang1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Lin Chen1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Baoli Zhu1 Department of Occupational and Environmental Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China ; 2 Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China ; 3 School of Public Health, Southeast University, Nanjing 210009, China.
Jiangsu Provincial Center for Disease Control and Prevention · CNNanjing Medical University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) have attracted interests as non-invasive biomarkers of physiological and pathological conditions. Several studies have examined the potential effects of mercury exposure on miRNAs expression profiles of general population environmentally exposed to mercury. The objective is to identify mercury-related miRNAs of female workers occupationally exposed to mercury.

methodsIn this case-control study, we used a microarray assay to detect the miRNA expression profiles in pooled plasma samples between (I) chronic mercury poisoning group; (II) mercury absorbing group and (III) control group in the discovery stage. Each group has ten individuals. In addition, we conducted a validation of eight candidate miRNAs in the same 30 workers by quantitative real-time PCR.

resultsIn the discovery stage, eight miRNAs were conformed following our selection criteria. In the validation stage, RT-PCR confirmed up-regulation of miR-92a and miR-486 in the mercury poisoned group (P<0.05) compared to the other two groups. The results were consistent with the microarray analysis.

conclusionsPlasma miR-92a-3p and miR-486-5p might prove to be potential biomarkers to indicate responses to mercury exposure. However, further studies are necessary to prove the causal association between miRNAs changes and mercury exposure, and to determine whether these two miRNAs are clear biomarkers to mercury exposure.

Indexed as

mercury (Hg)MicroRNA (miRNA)plasma

Identifiers

PMID27162656
PMCPMC4842831
OpenAlexW2310358464

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.