Differential expression profile of microRNAs in the lung tissues of coal workers with pneumoconiosis and patients with silicosis
The purpose of this study was to characterize the microRNA (miRNA) profile of the lung tissues from coal workers’ pneumoconiosis (CWP) and silicosis and to analyze the changes in downstream genes, biological processes, and signaling pathways based on the differently expressed miRNAs. Lung tissues fr...
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| Veröffentlicht in: | Toxicology and industrial health 2023-04, Vol.39 (4), p.204-217 |
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| creator | Tian, Yilin Cui, Xiuqing Guan, Xin Meng, Xiang Zheng, Min Wang, Xin Cheng, Guoping Xia, Ying Ye, Meng |
| description | The purpose of this study was to characterize the microRNA (miRNA) profile of the lung tissues from coal workers’ pneumoconiosis (CWP) and silicosis and to analyze the changes in downstream genes, biological processes, and signaling pathways based on the differently expressed miRNAs. Lung tissues from three CWP patients, eight silicosis patients, and four healthy controls were collected and analyzed for their miRNA profiles using Affymetrix® GeneChip® miRNA Arrays. Differentially expressed miRNAs (DEMs) were identified between the different groups. The miRanda and TargetScan databases were used to predict the putative target genes, and volcano and heat maps were drawn. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were then performed to screen the DEMs-associated biological process and signaling pathways, respectively. Further identification with a comprehensive literature research involving particle exposure, fibrosis, inflammation and lung cancer were used to further screen DEMs of CWP and silicosis. Microarray data showed that 375 and 88 miRNAs were differentially expressed in CWP and silicosis lung tissues compared with healthy lung tissues, while 34 miRNAs were differentially expressed in CWP compared with silicosis lung tissues. The GO and KEGG pathway analyses showed that, the target genes were mainly enriched in the TGF-β, MAPK, p53 and other signal pathways. These results provided insight into the miRNA-related underlying mechanisms of CWP and silicosis, and they provided new clues for miRNAs as biomarkers for the diagnosis and differential diagnosis of these two diseases. |
| doi_str_mv | 10.1177/07482337231156281 |
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Lung tissues from three CWP patients, eight silicosis patients, and four healthy controls were collected and analyzed for their miRNA profiles using Affymetrix® GeneChip® miRNA Arrays. Differentially expressed miRNAs (DEMs) were identified between the different groups. The miRanda and TargetScan databases were used to predict the putative target genes, and volcano and heat maps were drawn. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were then performed to screen the DEMs-associated biological process and signaling pathways, respectively. Further identification with a comprehensive literature research involving particle exposure, fibrosis, inflammation and lung cancer were used to further screen DEMs of CWP and silicosis. Microarray data showed that 375 and 88 miRNAs were differentially expressed in CWP and silicosis lung tissues compared with healthy lung tissues, while 34 miRNAs were differentially expressed in CWP compared with silicosis lung tissues. The GO and KEGG pathway analyses showed that, the target genes were mainly enriched in the TGF-β, MAPK, p53 and other signal pathways. These results provided insight into the miRNA-related underlying mechanisms of CWP and silicosis, and they provided new clues for miRNAs as biomarkers for the diagnosis and differential diagnosis of these two diseases.</description><identifier>ISSN: 0748-2337</identifier><identifier>EISSN: 1477-0393</identifier><identifier>DOI: 10.1177/07482337231156281</identifier><identifier>PMID: 36840710</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Biological activity ; Biomarkers ; Coal ; Diagnosis ; Differential diagnosis ; DNA microarrays ; Encyclopedias ; Fibrosis ; Gene mapping ; Genes ; Genomes ; Humans ; Lung - metabolism ; Lung cancer ; MAP kinase ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; p53 Protein ; Pneumoconiosis ; Pneumoconiosis - genetics ; Ribonucleic acid ; RNA ; Signal transduction ; Signaling ; Silicosis ; Silicosis - genetics ; Tissues ; Transforming growth factor-b ; Volcanoes</subject><ispartof>Toxicology and industrial health, 2023-04, Vol.39 (4), p.204-217</ispartof><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c320t-47b6e889460881875a01dd7f6f0875de6b1cfca051a7fb506e909e7c1e1d9e563</cites><orcidid>0000-0002-2225-2191</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/07482337231156281$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/07482337231156281$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36840710$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tian, Yilin</creatorcontrib><creatorcontrib>Cui, Xiuqing</creatorcontrib><creatorcontrib>Guan, Xin</creatorcontrib><creatorcontrib>Meng, Xiang</creatorcontrib><creatorcontrib>Zheng, Min</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Cheng, Guoping</creatorcontrib><creatorcontrib>Xia, Ying</creatorcontrib><creatorcontrib>Ye, Meng</creatorcontrib><title>Differential expression profile of microRNAs in the lung tissues of coal workers with pneumoconiosis and patients with silicosis</title><title>Toxicology and industrial health</title><addtitle>Toxicol Ind Health</addtitle><description>The purpose of this study was to characterize the microRNA (miRNA) profile of the lung tissues from coal workers’ pneumoconiosis (CWP) and silicosis and to analyze the changes in downstream genes, biological processes, and signaling pathways based on the differently expressed miRNAs. Lung tissues from three CWP patients, eight silicosis patients, and four healthy controls were collected and analyzed for their miRNA profiles using Affymetrix® GeneChip® miRNA Arrays. Differentially expressed miRNAs (DEMs) were identified between the different groups. The miRanda and TargetScan databases were used to predict the putative target genes, and volcano and heat maps were drawn. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were then performed to screen the DEMs-associated biological process and signaling pathways, respectively. Further identification with a comprehensive literature research involving particle exposure, fibrosis, inflammation and lung cancer were used to further screen DEMs of CWP and silicosis. Microarray data showed that 375 and 88 miRNAs were differentially expressed in CWP and silicosis lung tissues compared with healthy lung tissues, while 34 miRNAs were differentially expressed in CWP compared with silicosis lung tissues. The GO and KEGG pathway analyses showed that, the target genes were mainly enriched in the TGF-β, MAPK, p53 and other signal pathways. These results provided insight into the miRNA-related underlying mechanisms of CWP and silicosis, and they provided new clues for miRNAs as biomarkers for the diagnosis and differential diagnosis of these two diseases.</description><subject>Biological activity</subject><subject>Biomarkers</subject><subject>Coal</subject><subject>Diagnosis</subject><subject>Differential diagnosis</subject><subject>DNA microarrays</subject><subject>Encyclopedias</subject><subject>Fibrosis</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genomes</subject><subject>Humans</subject><subject>Lung - metabolism</subject><subject>Lung cancer</subject><subject>MAP kinase</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>p53 Protein</subject><subject>Pneumoconiosis</subject><subject>Pneumoconiosis - genetics</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Silicosis</subject><subject>Silicosis - genetics</subject><subject>Tissues</subject><subject>Transforming growth factor-b</subject><subject>Volcanoes</subject><issn>0748-2337</issn><issn>1477-0393</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kUtv1TAQhS0EopfCD2CDLLFhkzITJ7azrFpeUgUSgnXk64xbl8QOdqLCjp-Oo3sBCcTKsuY7Zx6HsacIZ4hKvQTV6FoIVQvEVtYa77EdNkpVIDpxn-22erUBJ-xRzrcAIGVbP2QnQuoGFMKO_bj0zlGisHgzcvo2J8rZx8DnFJ0fiUfHJ29T_Pj-PHMf-HJDfFzDNV98zivlDbCxaO9i-kIp8zu_3PA50DpFG4OP2WduwsBns_jS5ghkP3q71R6zB86MmZ4c31P2-fWrTxdvq6sPb95dnF9VVtSwVI3aS9K6ayRojVq1BnAYlJMOymcguUfrrIEWjXL7FiR10JGySDh01Epxyl4cfMtiX8vcSz_5bGkcTaC45r5WejsPYlPQ53-ht3FNoUxXqE50gCihUHigynFyTuT6OfnJpO89Qr_F0_8TT9E8Ozqv-4mG34pfeRTg7ABkc01_2v7f8SdM1pj3</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Tian, Yilin</creator><creator>Cui, Xiuqing</creator><creator>Guan, Xin</creator><creator>Meng, Xiang</creator><creator>Zheng, Min</creator><creator>Wang, Xin</creator><creator>Cheng, Guoping</creator><creator>Xia, Ying</creator><creator>Ye, Meng</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U7</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2225-2191</orcidid></search><sort><creationdate>202304</creationdate><title>Differential expression profile of microRNAs in the lung tissues of coal workers with pneumoconiosis and patients with silicosis</title><author>Tian, Yilin ; Cui, Xiuqing ; Guan, Xin ; Meng, Xiang ; Zheng, Min ; Wang, Xin ; Cheng, Guoping ; Xia, Ying ; Ye, Meng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-47b6e889460881875a01dd7f6f0875de6b1cfca051a7fb506e909e7c1e1d9e563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biological activity</topic><topic>Biomarkers</topic><topic>Coal</topic><topic>Diagnosis</topic><topic>Differential diagnosis</topic><topic>DNA microarrays</topic><topic>Encyclopedias</topic><topic>Fibrosis</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genomes</topic><topic>Humans</topic><topic>Lung - metabolism</topic><topic>Lung cancer</topic><topic>MAP kinase</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>p53 Protein</topic><topic>Pneumoconiosis</topic><topic>Pneumoconiosis - genetics</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Silicosis</topic><topic>Silicosis - genetics</topic><topic>Tissues</topic><topic>Transforming growth factor-b</topic><topic>Volcanoes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tian, Yilin</creatorcontrib><creatorcontrib>Cui, Xiuqing</creatorcontrib><creatorcontrib>Guan, Xin</creatorcontrib><creatorcontrib>Meng, Xiang</creatorcontrib><creatorcontrib>Zheng, Min</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Cheng, Guoping</creatorcontrib><creatorcontrib>Xia, Ying</creatorcontrib><creatorcontrib>Ye, Meng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Toxicology and industrial health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Yilin</au><au>Cui, Xiuqing</au><au>Guan, Xin</au><au>Meng, Xiang</au><au>Zheng, Min</au><au>Wang, Xin</au><au>Cheng, Guoping</au><au>Xia, Ying</au><au>Ye, Meng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential expression profile of microRNAs in the lung tissues of coal workers with pneumoconiosis and patients with silicosis</atitle><jtitle>Toxicology and industrial health</jtitle><addtitle>Toxicol Ind Health</addtitle><date>2023-04</date><risdate>2023</risdate><volume>39</volume><issue>4</issue><spage>204</spage><epage>217</epage><pages>204-217</pages><issn>0748-2337</issn><eissn>1477-0393</eissn><abstract>The purpose of this study was to characterize the microRNA (miRNA) profile of the lung tissues from coal workers’ pneumoconiosis (CWP) and silicosis and to analyze the changes in downstream genes, biological processes, and signaling pathways based on the differently expressed miRNAs. Lung tissues from three CWP patients, eight silicosis patients, and four healthy controls were collected and analyzed for their miRNA profiles using Affymetrix® GeneChip® miRNA Arrays. Differentially expressed miRNAs (DEMs) were identified between the different groups. The miRanda and TargetScan databases were used to predict the putative target genes, and volcano and heat maps were drawn. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were then performed to screen the DEMs-associated biological process and signaling pathways, respectively. Further identification with a comprehensive literature research involving particle exposure, fibrosis, inflammation and lung cancer were used to further screen DEMs of CWP and silicosis. Microarray data showed that 375 and 88 miRNAs were differentially expressed in CWP and silicosis lung tissues compared with healthy lung tissues, while 34 miRNAs were differentially expressed in CWP compared with silicosis lung tissues. The GO and KEGG pathway analyses showed that, the target genes were mainly enriched in the TGF-β, MAPK, p53 and other signal pathways. These results provided insight into the miRNA-related underlying mechanisms of CWP and silicosis, and they provided new clues for miRNAs as biomarkers for the diagnosis and differential diagnosis of these two diseases.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>36840710</pmid><doi>10.1177/07482337231156281</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-2225-2191</orcidid></addata></record> |
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| subjects | Biological activity Biomarkers Coal Diagnosis Differential diagnosis DNA microarrays Encyclopedias Fibrosis Gene mapping Genes Genomes Humans Lung - metabolism Lung cancer MAP kinase MicroRNAs MicroRNAs - genetics miRNA p53 Protein Pneumoconiosis Pneumoconiosis - genetics Ribonucleic acid RNA Signal transduction Signaling Silicosis Silicosis - genetics Tissues Transforming growth factor-b Volcanoes |
| title | Differential expression profile of microRNAs in the lung tissues of coal workers with pneumoconiosis and patients with silicosis |
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