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Rong K, Lang Y, Zhou Y, Ni L, Wang L, Wang L, Zhang Y, Wen F, Wang Z, Chen P. Risk Genetic Variants ( IL-10) for Osteoporosis in Han Population from Northwest China. J Inflamm Res 2023; 16:1091-1102. [PMID: 36941985 PMCID: PMC10024466 DOI: 10.2147/jir.s396914] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/04/2023] [Indexed: 03/14/2023] Open
Abstract
Background Osteoporosis (OP) is a common metabolic bone disease characterized by loss of bone mass. IL-10 is considered to be a powerful immune and inflammatory suppressor. This study aimed to assess association between genetic loci in IL-10 and susceptibility to OP. Methods Association analysis between IL-10 genetic loci and OP risk through SNPStats online software. FPRP analysis (false-positive report probability) verified whether the positive results were noteworthy findings. Linkage disequilibrium (LD) and haplotype analysis were completed by Haploview 4.2 and SNPStats. Multi-factor dimensionality reduction (MDR) was used to assess interaction of SNP-SNP in susceptibility to OP. Results Allele "G" of IL-10-rs1554286 (OR = 1.21, p = 0.013), allele "C" of IL-10-rs1518111 (OR = 1.22, p = 0.011), allele "C" of IL-10-rs3024490 (OR = 1.20, p = 0.018), and allele "G" of IL-10-rs1800871 (OR = 1.21, p = 0.015) were risk factors for OP. In females, smoking, drinking, or aging ≤60 years old participants, the above genetic loci are also significantly associated with the increased risk of OP. FPRP analysis showed that all positive results are noteworthy findings. There are significant differences in serum levels of uric acid, mean hemoglobin concentration, or mean hemoglobin among different genotypes of IL-10 gene loci. MDR showed that four loci model composed rs1554286, rs1518111, rs3021094, and rs1800871 is the best model for predicting OP risk. Conclusion IL-10-rs1554286, -rs1518111, -rs3021094, and -rs1800871 are risk factors for susceptibility to OP.
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Affiliation(s)
- Kai Rong
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Yi Lang
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Yubo Zhou
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Liangtao Ni
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Lei Wang
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Long Wang
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Yaowu Zhang
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Fengli Wen
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Zhan Wang
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
| | - Pingbo Chen
- Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Wulumuqi, Xinjiang, People’s Republic of China
- Correspondence: Pingbo Chen, Department of Traumatology, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, No. 116, Huanghe Street, Wulumuqi, Xinjiang, People’s Republic of China, Tel/Fax +86-13899907800, Email
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Brodzikowska A, Górski B. Polymorphisms in Genes Involved in Inflammation and Periodontitis: A Narrative Review. Biomolecules 2022; 12:552. [PMID: 35454140 PMCID: PMC9030004 DOI: 10.3390/biom12040552] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/02/2022] [Accepted: 04/05/2022] [Indexed: 12/14/2022] Open
Abstract
Current evidence pinpoints that the variability in periodontitis traits in humans may be attributable to genetic factors. Different allelic variants can result in alterations in tissue structure, antibody responses and inflammatory mediators. Consequently, genetic variations may act as protective or risk factors for periodontal diseases. A number of features of the inflammatory and immune response that seem to play a role in the development of periodontitis have a clearly established genetic basis. Identifying genes that contribute to the pathogenesis of periodontitis may be utilized for risk assessment in both aggressive and chronic periodontitis. The aim of this narrative review is to summarize the role of polymorphisms in genes involved in inflammation and periodontitis, including cellular receptors, tissue compatibility antigens, antibodies and cytokines.
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Affiliation(s)
- Aniela Brodzikowska
- Department of Conservative Dentistry, Medical University of Warsaw, 02097 Warsaw, Poland
| | - Bartłomiej Górski
- Department of Periodontology and Oral Mucosa Diseases, Medical University of Warsaw, 02097 Warsaw, Poland;
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