MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study
Objective To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis. Background There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional p...
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| Veröffentlicht in: | Journal of periodontal research 2022-10, Vol.57 (5), p.1043-1055 |
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| container_title | Journal of periodontal research |
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| creator | Zhang, Hongming Yuan, Yun Xue, Hanxiao Yu, Runping Huang, Hui |
| description | Objective
To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis.
Background
There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional patterns of these diseases, as well as the molecular mechanisms, is beneficial for the development of management strategies.
Materials and methods
Rat models of periodontitis (PD, n = 6) and peri‐implantitis (PI, n = 5) were established by ligation. Implantation without ligation (PIC, n = 5) and normal rats (PDC, n = 6) were used as controls. Micro‐CT was used to confirm the successful establishment of the model. Gingiva was harvested for miRNA transcriptome sequencing, and the results were confirmed by qRT–PCR. miRNA target genes were predicted with miRTarBase. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed.
Results
Sixty‐nine miRNAs were differentially expressed in PI vs. PD, 105 were differentially expressed in PI vs. PIC, and 70 were differentially expressed in PD vs. PDC (log2FC ≥1 and padj |
| doi_str_mv | 10.1111/jre.13045 |
| format | Article |
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To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis.
Background
There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional patterns of these diseases, as well as the molecular mechanisms, is beneficial for the development of management strategies.
Materials and methods
Rat models of periodontitis (PD, n = 6) and peri‐implantitis (PI, n = 5) were established by ligation. Implantation without ligation (PIC, n = 5) and normal rats (PDC, n = 6) were used as controls. Micro‐CT was used to confirm the successful establishment of the model. Gingiva was harvested for miRNA transcriptome sequencing, and the results were confirmed by qRT–PCR. miRNA target genes were predicted with miRTarBase. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed.
Results
Sixty‐nine miRNAs were differentially expressed in PI vs. PD, 105 were differentially expressed in PI vs. PIC, and 70 were differentially expressed in PD vs. PDC (log2FC ≥1 and padj <0.05). The upregulated genes in all three comparisons were mostly involved in the biological process response to stimulus, whereas most of the downregulated genes were involved in nervous system development (p < .01). The upregulated genes in PI vs. PD and PI vs. PIC were involved in Toll‐like receptor signaling and RIG‐I‐like signaling. The upregulated genes in PI vs. PD were involved in T‐ and B‐cell receptor signaling, apoptosis, and osteoclast differentiation. Focal adhesion was downregulated in all three comparisons, and adherens junction was downregulated in PI vs. PD and PD vs. PDC (p < .1).
Conclusion
This study showed differences in the miRNA expression profiles between peri‐implantitis and periodontitis and annotated the possible target genes and molecular mechanisms; this study could lay a foundation for the development of management strategies.</description><identifier>ISSN: 0022-3484</identifier><identifier>EISSN: 1600-0765</identifier><identifier>DOI: 10.1111/jre.13045</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Animal models ; Apoptosis ; Cell differentiation ; Genomes ; Gum disease ; MicroRNAs ; miRNA ; Molecular modelling ; Nervous system ; Osteoclastogenesis ; Periodontitis ; peri‐implantitis ; Transcriptomes</subject><ispartof>Journal of periodontal research, 2022-10, Vol.57 (5), p.1043-1055</ispartof><rights>2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2022 John Wiley & Sons A/S</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3305-e89f52fb583aedd05859100eda60a31d285848ac802baf589476cf540c9f3a543</citedby><cites>FETCH-LOGICAL-c3305-e89f52fb583aedd05859100eda60a31d285848ac802baf589476cf540c9f3a543</cites><orcidid>0000-0001-5936-7008 ; 0000-0001-7843-0228 ; 0000-0003-0710-1157</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjre.13045$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjre.13045$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Zhang, Hongming</creatorcontrib><creatorcontrib>Yuan, Yun</creatorcontrib><creatorcontrib>Xue, Hanxiao</creatorcontrib><creatorcontrib>Yu, Runping</creatorcontrib><creatorcontrib>Huang, Hui</creatorcontrib><title>MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study</title><title>Journal of periodontal research</title><description>Objective
To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis.
Background
There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional patterns of these diseases, as well as the molecular mechanisms, is beneficial for the development of management strategies.
Materials and methods
Rat models of periodontitis (PD, n = 6) and peri‐implantitis (PI, n = 5) were established by ligation. Implantation without ligation (PIC, n = 5) and normal rats (PDC, n = 6) were used as controls. Micro‐CT was used to confirm the successful establishment of the model. Gingiva was harvested for miRNA transcriptome sequencing, and the results were confirmed by qRT–PCR. miRNA target genes were predicted with miRTarBase. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed.
Results
Sixty‐nine miRNAs were differentially expressed in PI vs. PD, 105 were differentially expressed in PI vs. PIC, and 70 were differentially expressed in PD vs. PDC (log2FC ≥1 and padj <0.05). The upregulated genes in all three comparisons were mostly involved in the biological process response to stimulus, whereas most of the downregulated genes were involved in nervous system development (p < .01). The upregulated genes in PI vs. PD and PI vs. PIC were involved in Toll‐like receptor signaling and RIG‐I‐like signaling. The upregulated genes in PI vs. PD were involved in T‐ and B‐cell receptor signaling, apoptosis, and osteoclast differentiation. Focal adhesion was downregulated in all three comparisons, and adherens junction was downregulated in PI vs. PD and PD vs. PDC (p < .1).
Conclusion
This study showed differences in the miRNA expression profiles between peri‐implantitis and periodontitis and annotated the possible target genes and molecular mechanisms; this study could lay a foundation for the development of management strategies.</description><subject>Animal models</subject><subject>Apoptosis</subject><subject>Cell differentiation</subject><subject>Genomes</subject><subject>Gum disease</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Molecular modelling</subject><subject>Nervous system</subject><subject>Osteoclastogenesis</subject><subject>Periodontitis</subject><subject>peri‐implantitis</subject><subject>Transcriptomes</subject><issn>0022-3484</issn><issn>1600-0765</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kM9KxDAQxoMouK4efIOCFz10nTZJm3pblvUfq8Ki55hNE8jSbWrSIr35CD6jT2JqPQnOJczHb2byfQidJjBLQl1unZolGAjdQ5MkA4ghz-g-mgCkaYwJI4foyPsthD7Liwl6fTDS2fXjPPLqrVO1VJGoy0h3tWyNrUMjqt4bH5k6apQzXx-fZtdUom5NG9SBHWRb2lG5iubDkNmJKvJtV_bH6ECLyquT33eKXq6Xz4vbePV0c7eYr2KJMdBYsULTVG8ow0KVJVBGiwRAlSIDgZMyZZQRJiSDdCM0ZQXJM6kpAVloLCjBU3Q-7m2cDUZ8y3fGS1WFryrbeZ7mABkJt9KAnv1Bt7ZzwehAhRBZQXMaqIuRCvl475TmjQu2XM8T4EPWPGTNf7IO7OXIvptK9f-D_H69HCe-AXnKgN0</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Zhang, Hongming</creator><creator>Yuan, Yun</creator><creator>Xue, Hanxiao</creator><creator>Yu, Runping</creator><creator>Huang, Hui</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5936-7008</orcidid><orcidid>https://orcid.org/0000-0001-7843-0228</orcidid><orcidid>https://orcid.org/0000-0003-0710-1157</orcidid></search><sort><creationdate>202210</creationdate><title>MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study</title><author>Zhang, Hongming ; Yuan, Yun ; Xue, Hanxiao ; Yu, Runping ; Huang, Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3305-e89f52fb583aedd05859100eda60a31d285848ac802baf589476cf540c9f3a543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animal models</topic><topic>Apoptosis</topic><topic>Cell differentiation</topic><topic>Genomes</topic><topic>Gum disease</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Molecular modelling</topic><topic>Nervous system</topic><topic>Osteoclastogenesis</topic><topic>Periodontitis</topic><topic>peri‐implantitis</topic><topic>Transcriptomes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Hongming</creatorcontrib><creatorcontrib>Yuan, Yun</creatorcontrib><creatorcontrib>Xue, Hanxiao</creatorcontrib><creatorcontrib>Yu, Runping</creatorcontrib><creatorcontrib>Huang, Hui</creatorcontrib><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of periodontal research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Hongming</au><au>Yuan, Yun</au><au>Xue, Hanxiao</au><au>Yu, Runping</au><au>Huang, Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study</atitle><jtitle>Journal of periodontal research</jtitle><date>2022-10</date><risdate>2022</risdate><volume>57</volume><issue>5</issue><spage>1043</spage><epage>1055</epage><pages>1043-1055</pages><issn>0022-3484</issn><eissn>1600-0765</eissn><abstract>Objective
To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis.
Background
There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional patterns of these diseases, as well as the molecular mechanisms, is beneficial for the development of management strategies.
Materials and methods
Rat models of periodontitis (PD, n = 6) and peri‐implantitis (PI, n = 5) were established by ligation. Implantation without ligation (PIC, n = 5) and normal rats (PDC, n = 6) were used as controls. Micro‐CT was used to confirm the successful establishment of the model. Gingiva was harvested for miRNA transcriptome sequencing, and the results were confirmed by qRT–PCR. miRNA target genes were predicted with miRTarBase. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed.
Results
Sixty‐nine miRNAs were differentially expressed in PI vs. PD, 105 were differentially expressed in PI vs. PIC, and 70 were differentially expressed in PD vs. PDC (log2FC ≥1 and padj <0.05). The upregulated genes in all three comparisons were mostly involved in the biological process response to stimulus, whereas most of the downregulated genes were involved in nervous system development (p < .01). The upregulated genes in PI vs. PD and PI vs. PIC were involved in Toll‐like receptor signaling and RIG‐I‐like signaling. The upregulated genes in PI vs. PD were involved in T‐ and B‐cell receptor signaling, apoptosis, and osteoclast differentiation. Focal adhesion was downregulated in all three comparisons, and adherens junction was downregulated in PI vs. PD and PD vs. PDC (p < .1).
Conclusion
This study showed differences in the miRNA expression profiles between peri‐implantitis and periodontitis and annotated the possible target genes and molecular mechanisms; this study could lay a foundation for the development of management strategies.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/jre.13045</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-5936-7008</orcidid><orcidid>https://orcid.org/0000-0001-7843-0228</orcidid><orcidid>https://orcid.org/0000-0003-0710-1157</orcidid></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Animal models Apoptosis Cell differentiation Genomes Gum disease MicroRNAs miRNA Molecular modelling Nervous system Osteoclastogenesis Periodontitis peri‐implantitis Transcriptomes |
| title | MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study |
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