Integrative Transcriptomic and Machine Learning Analysis Identifies Key Senescence‐Associated Secretory Phenotype Genes Associated With Immune Dysregulation in Periodontitis
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| Publikašuvnnas: | Human Mutation vol. 2025, no. 1 (2025) |
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| Váldodahkki: | |
| Eará dahkkit: | , , , , , |
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John Wiley & Sons, Inc.
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| Liŋkkat: | Citation/Abstract Full Text Full Text - PDF |
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|---|---|---|---|
| 001 | 3278173401 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1059-7794 | ||
| 022 | |a 1098-1004 | ||
| 024 | 7 | |a 10.1155/humu/3637248 |2 doi | |
| 035 | |a 3278173401 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 67593 |2 nlm | ||
| 100 | 1 | |a Zeng, Jing |u Department of Stomatology, , The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, , Guiyang City, , Guizhou Province, , China, <url href="http://gzu.edu.cn">gzu.edu.cn</url> | |
| 245 | 1 | |a Integrative Transcriptomic and Machine Learning Analysis Identifies Key Senescence‐Associated Secretory Phenotype Genes Associated With Immune Dysregulation in Periodontitis | |
| 260 | |b John Wiley & Sons, Inc. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Periodontitis (PD) is a chronic inflammatory disorder marked by immune dysregulation and progressive tissue destruction. Cellular senescence and the senescence‐associated secretory phenotype (SASP) have been increasingly recognized as pivotal drivers of chronic inflammation. However, their specific contributions to PD remain insufficiently clarified. In this study, integrative bioinformatic analyses were conducted across transcriptomic datasets, employing least absolute shrinkage and selection operator, support vector machine–recursive feature elimination, and eXtreme gradient boosting algorithms to identify SASP‐related genes of significance. ICAM1, CXCL12, and MMP3 were found to be markedly upregulated in PD and demonstrated strong diagnostic potential through receiver operating characteristic and artificial neural network models. Functional enrichment analysis indicated their involvement in immune cell adhesion, migration, and infection‐associated pathways. Immune infiltration profiling revealed disrupted immune landscapes, with ICAM1 exhibiting a negative correlation with resting mast cells. Experimental validation using real‐time quantitative polymerase chain reaction and immunohistochemistry on clinical samples confirmed elevated expression of these genes at both the mRNA and protein levels. Moreover, dexamethasone was identified via molecular docking as a potential therapeutic compound targeting ICAM1 and CXCL12. Collectively, these findings advance the understanding of SASP associated with immune regulation in PD and suggest potential biomarkers and therapeutic targets for early diagnosis and intervention. | |
| 653 | |a Periodontitis | ||
| 653 | |a Software | ||
| 653 | |a Chemokines | ||
| 653 | |a Datasets | ||
| 653 | |a Immunoregulation | ||
| 653 | |a Therapeutic targets | ||
| 653 | |a Phenotypes | ||
| 653 | |a Cytokines | ||
| 653 | |a Cell migration | ||
| 653 | |a Inflammation | ||
| 653 | |a Transcriptomics | ||
| 653 | |a Gene set enrichment analysis | ||
| 653 | |a CXCL12 protein | ||
| 653 | |a Genotype & phenotype | ||
| 653 | |a Dexamethasone | ||
| 653 | |a Senescence | ||
| 653 | |a Mast cells | ||
| 653 | |a Cell adhesion | ||
| 653 | |a Proteins | ||
| 653 | |a Inflammatory diseases | ||
| 653 | |a Machine learning | ||
| 653 | |a Signal transduction | ||
| 653 | |a Gene expression | ||
| 653 | |a Neural networks | ||
| 653 | |a Immune response | ||
| 653 | |a Support vector machines | ||
| 653 | |a Immunohistochemistry | ||
| 653 | |a Gum disease | ||
| 653 | |a Intercellular adhesion molecule 1 | ||
| 653 | |a Algorithms | ||
| 700 | 1 | |a Huang, Jing |u Department of Stomatology, , The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, , Enshi City, , Hubei Province, , China, <url href="http://enshi.gov.cn">enshi.gov.cn</url> | |
| 700 | 1 | |a He, Juan |u Department of Stomatology, , The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, , Guiyang City, , Guizhou Province, , China, <url href="http://gzu.edu.cn">gzu.edu.cn</url> | |
| 700 | 1 | |a Tan, Jianqin |u Department of Stomatology, , The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, , Guiyang City, , Guizhou Province, , China, <url href="http://gzu.edu.cn">gzu.edu.cn</url> | |
| 700 | 1 | |a Duan, Mianmian |u Department of Stomatology, , The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, , Guiyang City, , Guizhou Province, , China, <url href="http://gzu.edu.cn">gzu.edu.cn</url> | |
| 700 | 1 | |a Song, Yanyan |u Department of Stomatology, , The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, , Guiyang City, , Guizhou Province, , China, <url href="http://gzu.edu.cn">gzu.edu.cn</url> | |
| 700 | 1 | |a Yang, Lin |u Department of Stomatology, , Guiyang Stomatological Hospital, , Guiyang City, , Guizhou Province, , China | |
| 773 | 0 | |t Human Mutation |g vol. 2025, no. 1 (2025) | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3278173401/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3278173401/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3278173401/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |