Analysis of the microRNA Profile of Coal-Burning Endemic Fluorosis Using Deep Sequencing and Bioinformatic Approaches

  • Fei Wang
  • Chen Li
  • Yu Qin
  • Xue Han
  • Jiayu Gao
  • Aihua Zhang
  • Peng LuoEmail author
  • Xueli PanEmail author


MicroRNAs (miRNAs) differentially expressed in plasma were identified using microRNA sequencing (miRNA-seq), and five miRNAs were selected for validation. Potential target genes of these five miRNAs were predicted using the miRWalk3.0 database, and the overlapping portions were analyzed using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Comparison of the cases and controls revealed 127 known differentially expressed miRNAs. A total of 44 and 83 miRNAs were upregulated and downregulated, respectively. Through target gene prediction of five miRNAs, we obtained 1360 target genes. GO enrichment analysis showed that the target genes of these dysregulated miRNAs were related with secretion, protein binding, and cell growth. The KEGG pathway analysis showed that pathways in cancer, calcium signaling, and rat sarcoma (Ras) signaling, etc. were likely regulated by these five miRNAs. These findings highlight the distinct expression patterns of miRNAs in coal-burning endemic fluorosis.


MicroRNA-sequencing miRNAs Fluorosis GO KEGG 



This work was supported by grants from the National Natural Science Foundation of China (No. 81660524) and the First-Class Discipline Construction Project in Guizhou Province - Public Health and Preventive Medicine (No. 2017[85]).

Supplementary material

128_2019_2660_MOESM1_ESM.docx (74 kb)
Supplementary file1 (DOCX 74 kb)
128_2019_2660_MOESM2_ESM.xlsx (10 kb)
Supplementary file3 (XLSX 10 kb)


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Authors and Affiliations

  1. 1.Department of Toxicology, School of Public HealthGuizhou Medical UniversityGuiyangChina
  2. 2.Guizhou Orthopedics HospitalGuiyangChina
  3. 3.Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of EducationGuizhou Medical UniversityGuiyangChina

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