Evidence map›Paper›PMID 28916729›Full record

ArticleBioscience reports2017

Identification of differential plasma miRNA profiles in Chinese workers with occupational lead exposure.

Ming Xu, Zhengmin Yu, Feifei Hu, Hongbing Zhang, Lixin Zhong, Lei Han, Yan An, Baoli Zhu, Hengdong Zhang

Abstract read
In one paragraph

Article in Bioscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Epigenetics in Lead Toxicity: New Avenues for Future Research.Indian journal of clinical biochemistry : IJCB · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Novel Direction in Mechanisms Underlying Lead Toxicity: Evidence and Prospective.Indian journal of clinical biochemistry : IJCB · 2019
    Article
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.

Ming XuDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China hdzhangjscdc@yeah.net sosolou@126.com.
Zhengmin YuDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Feifei HuChangzhou Center for Disease Control and Prevention, Changzhou 213022, China.
Hongbing ZhangDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Lixin ZhongDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Lei HanDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Yan AnDepartment of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou 215123, China.
Baoli ZhuDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Hengdong ZhangDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China hdzhangjscdc@yeah.net sosolou@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated lead absorptions are hazardous factors in lead-related workers. Previous studies have found its toxic impacts on nervous, circulatory, and metabolic systems. We hypothesized that alteration of miRNAs profile in plasma was closely associated with lead exposure. We analyzed to identify lead-related miRNAs in workers occupationally exposed to lead. Microarray assay was performed to detect plasma miRNA between workers with high and minimal lead exposure in the discovery stage. The following prediction of miRNAs' candidate target genes was carried out by using miRecords, STRING, and KEGG databases. We finally identified four miRNAs significantly associated with high level of blood lead.

Indexed as

AdultAsian PeopleBiomarkersChinaDatabases, Nucleic AcidFemaleGene Expression ProfilingHumansLead PoisoningMaleMicroRNAsMiddle AgedOccupational DiseasesBiomarkersMicroRNAsMIRN148 microRNA, humanMIRN211 microRNA, humanMIRN520 microRNA, humanMIRN-572 microRNA, humanblood lead levelchronic lead exposurediagnosismicroRNA

Identifiers

PMID28916729
PMCPMC5662923

What OpenQuestion holds

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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.