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      Genetic Determinants for Bacterial Osteomyelitis: A Focused Systematic Review of Published Literature

      systematic-review

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          Abstract

          Background: Osteomyelitis is an inflammatory process characterized by progressive bone destruction. Moreover, chronic bacterial osteomyelitis is regarded as a difficult-to-treat clinical entity due to its long-standing course and frequent infection recurrence. However, the role of genetic factors in the occurrence and development of bacterial osteomyelitis is poorly understood.

          Methods: We performed a systematic review to assess the frequency of individual alleles and genotypes of single-nucleotide polymorphisms (SNPs) among patients with bacterial osteomyelitis and healthy people to identify whether the SNPs are associated with the risk of developing bacterial osteomyelitis. Then, gene ontology and Kyoto Encyclopedia of Gene and Genomes analyses were performed to identify the potential biological effects of these genes on the pathogenesis of bacterial osteomyelitis.

          Result: Fourteen eligible studies containing 25 genes were analyzed. In this review, we discovered that the SNPs in IL1B, IL6, IL4, IL10, IL12B, IL1A, IFNG, TNF, PTGS2, CTSG, vitamin D receptor ( VDR), MMP1, PLAT, and BAX increased the risk of bacterial osteomyelitis, whereas those in IL1RN and TLR2 could protect against osteomyelitis. The bioinformatic analysis indicated that these osteomyelitis-related genes were mainly enriched in inflammatory reaction pathways, suggesting that inflammation plays a vital role in the development of bacterial osteomyelitis. Furthermore, functional notation for 25 SNPs in 17 significant genes was performed using the RegulomeDB and NCBI databases. Four SNPs (rs1143627, rs16944, rs2430561, and rs2070874) had smaller scores from regulome analysis, implying significant biological function.

          Conclusion: We systematically summarized several SNPs linked to bacterial osteomyelitis and discovered that these gene polymorphisms could be a genetic factor for bacterial osteomyelitis. Moreover, further large-scale cohort studies are needed to enhance our comprehensive understanding of the development of osteomyelitis to provide earlier individualized preventions and interventions for patients with osteomyelitis in clinical practice.

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          Most cited references53

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

          David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses
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            Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

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              The UK Biobank resource with deep phenotyping and genomic data

              The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                17 June 2021
                2021
                : 12
                : 654792
                Affiliations
                Department of Orthopedics, The First Hospital of Jilin University , Changchun, China
                Author notes

                Edited by: Chien-Chang Lee, National Taiwan University Hospital, Taiwan

                Reviewed by: Wan-Ting Hsu, Harvard University, United States; Zachary McCaw, Google, United States; Mengtse Lee, National Taiwan University Hospital, Taiwan

                *Correspondence: Tiecheng Yu yutc@ 123456jlu.edu.cn

                This article was submitted to Applied Genetic Epidemiology, a section of the journal Frontiers in Genetics

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fgene.2021.654792
                8248359
                34220937
                6fbe7eee-bd65-409a-a45a-30180188e834
                Copyright © 2021 Xie, Li, Gu, Zhang, Su, Wen, Sui, Zhou and Yu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 February 2021
                : 10 May 2021
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 53, Pages: 12, Words: 7884
                Funding
                Funded by: Natural Science Foundation of Jilin Province 10.13039/100007847
                Categories
                Genetics
                Systematic Review

                Genetics
                osteomyelitis,genetic polymorphism,genotype,susceptibility,systematic review
                Genetics
                osteomyelitis, genetic polymorphism, genotype, susceptibility, systematic review

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