Journal of Bone Metabolism

"Beom-Jun Kim"

Original Articles

Impact of COVID-19 on the Incidence of Fragility Fracture in South Korea: Seungjin Baek, Ye-Jee Kim, Beom-Jun Kim, Namki Hong; J Bone Metab 2024;31(1):31-39.
Published online February 29, 2024; DOI: https://doi.org/10.11005/jbm.2024.31.1.31

Background
The coronavirus disease 2019 (COVID-19) pandemic and the consequent social distancing period are thought to have influenced the incidence of osteoporotic fracture in various ways, but the exact changes have not yet been well elucidated. The purpose of this study was to investigate the impact of the COVID-19 pandemic on the incidence of osteoporotic fracture using a nationwide cohort.
Methods
The monthly incidence rates of vertebral; hip; and non-vertebral, non-hip fractures were collected from a nationwide database of the Korean National Health Insurance Review and Assessment from July 2016 to June 2021. Segmented regression models were used to assess the change in levels and trends in the monthly incidence of osteoporotic fractures.
Results
There was a step decrease in the incidence of vertebral fractures for both males (6.181 per 100,000, P=0.002) and females (19.299 per 100,000, P=0.006). However, there was a negative trend in the incidence of hip fracture among both males (-0.023 per 100,000 per month, P=0.023) and females (-0.032 per 100,000 per month, P=0.019). No impact of COVID-19-related social distancing was noted.
Conclusions
In conclusion, during the early days of the COVID-19 pandemic, vertebral fracture incidence considerably decreased with the implementation of social distancing measures.

Citations

Citations to this article as recorded by

1. Trends of incidence and 1-year mortality of vertebral fractures in Korea using nationwide claims data
Young-Kyun Lee, Jung-Wee Park, Tae-Young Kim, Jihye Kim, Hoyeon Jang, Jaiyong Kim, Yong-Chan Ha
Archives of Osteoporosis.2025;[Epub] CrossRef
2. Global, regional, and national burden of vertebral fractures among women from 1990 to 2021: a systematic analysis based on the global burden of disease study
Junpeng Liu, Xingchen Yao, Zhiheng Zhao, Xinglin Liu, Sheyang Xu, Bowen Lu, Xianglong Meng
European Spine Journal.2025;[Epub] CrossRef

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Replication of Caucasian Loci Associated with Osteoporosis-related Traits in East Asians: Beom-Jun Kim, Seong Hee Ahn, Hyeon-Mok Kim, Shiro Ikegawa, Tie-Lin Yang, Yan Guo, Hong-Wen Deng, Jung-Min Koh, Seung Hun Lee; J Bone Metab 2016;23(4):233-242.
Published online November 30, 2016; DOI: https://doi.org/10.11005/jbm.2016.23.4.233

Background

Most reported genome-wide association studies (GWAS) seeking to identify the loci of osteoporosis-related traits have involved Caucasian populations. We aimed to identify the single nucleotide polymorphisms (SNPs) of osteoporosis-related traits among East Asian populations from the bone mineral density (BMD)-related loci of an earlier GWAS meta-analysis.

Methods

A total of 95 SNPs, identified at the discovery stage of the largest GWAS meta-analysis of BMD, were tested to determine associations with osteoporosis-related traits (BMD, osteoporosis, or fracture) in Korean subjects (n=1,269). The identified SNPs of osteoporosis-related traits in Korean subjects were included in the replication analysis using Chinese (n=2,327) and Japanese (n=768) cohorts.

Results

A total of 17 SNPs were associated with low BMD in Korean subjects. Specifically, 9, 6, 9, and 5 SNPs were associated with the presence of osteoporosis, non-vertebral fractures, vertebral fractures, and any fracture, respectively. Collectively, 35 of the 95 SNPs (36.8%) were associated with one or more osteoporosis-related trait in Korean subjects. Of the 35 SNPs, 19 SNPs (54.3%) were also associated with one or more osteoporosis-related traits in East Asian populations. Twelve SNPs were associated with low BMD in the Chinese and Japanese cohorts. Specifically, 3, 4, and 2 SNPs were associated with the presence of hip fractures, vertebral fractures, and any fracture, respectively.

Conclusions

Our results identified the common SNPs of osteoporosis-related traits in both Caucasian and East Asian populations. These SNPs should be further investigated to assess whether they are true genetic markers of osteoporosis.

Citations

Citations to this article as recorded by

1. AXIN1 Polymorphisms Potentially Modulate Parkinson’s Disease Susceptibility: A Cross-Sectional Study in Northern Han Chinese and White Populations
Zhen Kong, Ran Yu, Chengqian Li, Qiqing He, Yuting Zhou, Xue Zhang, Yaqing Li, Anmu Xie, Binghui Hou
Neurology and Therapy.2026; 15(1): 325. CrossRef
2. Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations
Qing Wu, Jingyuan Dai, Jianing Liu, Lang Wu
Current Osteoporosis Reports.2025;[Epub] CrossRef
3. Skeletal abnormalities, pediatric-onset severe osteoporosis, and multiple fragility fractures in a patient with a novel CTNNB1 de novo variant
Olga Lesnyak, Francesca Marini, Polina Sokolnikova, Margarita Sorokina, Kseniya Sukhareva, Irina Artamonova, Vladimir Kenis, Olga Tkach, Anna Kostareva, Maria Luisa Brandi
Bone Reports.2024; 21: 101777. CrossRef
4. Anaphase-Promoting Complex Subunit 1 Associates with Bone Mineral Density in Human Osteoporotic Bone
Petra Malavašič, Sara Polajžer, Nika Lovšin
International Journal of Molecular Sciences.2023; 24(16): 12895. CrossRef
5. Association between AXIN1 gene polymorphism (rs9921222) of WNT signaling pathway and susceptibility to osteoporosis in Egyptian patients: a case-control study
Eman Saad Nassar, Rehab Elnemr, Ahmed Shaaban, Asmaa Abd Elhameed, Raghda Saad Zaghloul Taleb
BMC Musculoskeletal Disorders.2023;[Epub] CrossRef
6. GATA4 and estrogen receptor alpha bind at SNPs rs9921222 and rs10794639 to regulate AXIN1 expression in osteoblasts
Sarocha Suthon, Rachel S. Perkins, Jianjian Lin, John R. Crockarell, Gustavo A. Miranda-Carboni, Susan A. Krum
Human Genetics.2022; 141(12): 1849. CrossRef
7. Mutation of foxl1 Results in Reduced Cartilage Markers in a Zebrafish Model of Otosclerosis
Alexia Hawkey-Noble, Justin A. Pater, Roshni Kollipara, Meriel Fitzgerald, Alexandre S. Maekawa, Christopher S. Kovacs, Terry-Lynn Young, Curtis R. French
Genes.2022; 13(7): 1107. CrossRef
8. USF3modulates osteoporosis risk by targetingWNT16,RANKL,RUNX2, and two GWAS lead SNPs rs2908007 and rs4531631
Weiyuan Ye, Ya Wang, Sasa Hou, Bing Mei, Xinhong Liu, Han Huang, Qian Zhou, Yajing Niu, Yuanyuan Chen, Manling Zhang, Qingyang Huang
Human Mutation.2021; 42(1): 37. CrossRef
9. Osteoporosis genome‐wide association study variant c.3781 C>A is regulated by a novel anti‐osteogenic factor miR‐345‐5p
Ya Wang, Weiyuan Ye, Yuyong Liu, Bing Mei, Xinhong Liu, Qingyang Huang
Human Mutation.2020; 41(3): 709. CrossRef
10. COL1A1, CCDC170, and ESR1 single nucleotide polymorphisms associated with distal radius fracture in postmenopausal Mexican women
E. Farias-Cisneros, A. Hidalgo-Bravo, A. Miranda-Duarte, L. Casas-Ávila, T. D. Rozental, R. Velázquez-Cruz, M. Valdés-Flores
Climacteric.2020; 23(1): 65. CrossRef
11. LncRNA DANCR and miR-320a suppressed osteogenic differentiation in osteoporosis by directly inhibiting the Wnt/β-catenin signaling pathway
Cheng-Gong Wang, Yi-He Hu, Shi-Long Su, Da Zhong
Experimental & Molecular Medicine.2020; 52(8): 1310. CrossRef
12. LncRNA ZBTB40-IT1 modulated by osteoporosis GWAS risk SNPs suppresses osteogenesis
Bing Mei, Ya Wang, Weiyuan Ye, Han Huang, Qian Zhou, Yuanyuan Chen, Yajing Niu, Manling Zhang, Qingyang Huang
Human Genetics.2019; 138(2): 151. CrossRef

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Association of Bone Marrow Sphingosine 1-phosphate Levels with Osteoporotic Hip Fractures: Seong Hee Ahn, Jung-Min Koh, Eun Jeong Gong, Seongeun Byun, Sun-Young Lee, Beom-Jun Kim, Seung Hun Lee, Jae Suk Chang, Ghi Su Kim; J Bone Metab 2013;20(2):61-65.
Published online November 18, 2013; DOI: https://doi.org/10.11005/jbm.2013.20.2.61

Background

Sphingosine 1-phosphate (S1P) has been discovered to be a critical regulator of bone metabolism. Very recently, we found that higher circulating S1P levels were associated with higher rate of prevalent osteoporotic fracture in human.

Methods

This was a cross-sectional study of 16 patients who underwent hip replacement surgeries. Bone marrow fluids were obtained during hip surgeries, and the S1P levels were measured using a competitive enzyme-linked immunosorbent assay (ELISA) assay. Bone mineral densities (BMDs) at various skeletal sites were obtained using dual energy X-ray absorptiometry.

Results

Among 16 patients, 4 patients were undergone operations due to hip fractures, and the others were done by any other causes. Bone marrow S1P levels were significantly lower in patients with hip fractures than in those without, before and after adjusting for confounding factors (P=0.047 and 0.025, respectively). We failed to demonstrate significant associations between bone marrow S1P levels and any BMD values (γ=0.026-0.482, P=0.171-0.944).

Conclusions

In conjunction with our previous findings, these suggest that the effects of gradient between peripheral blood and bone marrow, but not S1P itself, may be the most critical on bone metabolism.

Citations

Citations to this article as recorded by

1. Sphingolipid-Induced Bone Regulation and Its Emerging Role in Dysfunction Due to Disease and Infection
Anouska Seal, Megan Hughes, Fei Wei, Abinaya S. Pugazhendhi, Christopher Ngo, Jonathan Ruiz, Jonathan D. Schwartzman, Melanie J. Coathup
International Journal of Molecular Sciences.2024; 25(5): 3024. CrossRef
2. Sphingosine-1-phosphate promotes osteogenesis by stimulating osteoblast growth and neovascularization in a vascular endothelial growth factor–dependent manner
Annalena Wille, Sarah Weske, Karin von Wnuck Lipinski, Philipp Wollnitzke, Nathalie H Schröder, Nadine Thomas, Melissa K Nowak, Jennifer Deister-Jonas, Björn Behr, Petra Keul, Bodo Levkau
Journal of Bone and Mineral Research.2024; 39(3): 357. CrossRef
3. New insight into primary hyperparathyroidism using untargeted metabolomics
Marta Wielogórska-Partyka, Joanna Godzien, Beata Podgórska-Golubiewska, Julia Sieminska, Maricruz Mamani-Huanca, Karolina Mocarska, Marta Stępniewska, Jakub Supronik, Bartosz Pomichter, Angeles Lopez-Gonzalvez, Gabryela Kozłowska, Angelika Buczyńska, Anna
Scientific Reports.2024;[Epub] CrossRef
4. The Ying and Yang of Sphingosine-1-Phosphate Signalling within the Bone
Kathryn Frost, Amy J. Naylor, Helen M. McGettrick
International Journal of Molecular Sciences.2023; 24(8): 6935. CrossRef
5. The role of sphingosine-1-phosphate in bone remodeling and osteoporosis
Justus M. Grewe, Paul-Richard Knapstein, Antonia Donat, Shan Jiang, Daniel J. Smit, Weixin Xie, Johannes Keller
Bone Research.2022;[Epub] CrossRef
6. Association of Circulating Levels of Total and Protein-Bound Sphingosine 1-Phosphate with Osteoporotic Fracture
Ha Eun Song, Seung Hun Lee, Su Jung Kim, Beom-Jun Kim, Hyun Ju Yoo, Jung-Min Koh
Journal of Investigative Medicine.2020; 68(7): 1295. CrossRef
7. The role of sphingosine 1-phosphate metabolism in bone and joint pathologies and ectopic calcification
Alaeddine El Jamal, Carole Bougault, Saida Mebarek, David Magne, Olivier Cuvillier, Leyre Brizuela
Bone.2020; 130: 115087. CrossRef
8. Interleukin-32 Gamma Stimulates Bone Formation by Increasing miR-29a in Osteoblastic Cells and Prevents the Development of Osteoporosis
Eun-Jin Lee, Sang-Min Kim, Bongkun Choi, Eun-Young Kim, Yeon-Ho Chung, Eun-Ju Lee, Bin Yoo, Chang-Keun Lee, Seokchan Hong, Beom-Jun Kim, Jung-Min Koh, Soo-Hyun Kim, Yong-Gil Kim, Eun-Ju Chang
Scientific Reports.2017;[Epub] CrossRef
9. The effect of sphingosine-1-phosphate on bone metabolism in humans depends on its plasma/bone marrow gradient
B.-J. Kim, K.-O. Shin, H. Kim, S. H. Ahn, S. H. Lee, C.-H. Seo, S.-E. Byun, J. S. Chang, J.-M. Koh, Y.-M. Lee
Journal of Endocrinological Investigation.2016; 39(3): 297. CrossRef
10. Bone disease in cystic fibrosis: new pathogenic insights opening novel therapies
J. Jacquot, M. Delion, S. Gangloff, J. Braux, F. Velard
Osteoporosis International.2016; 27(4): 1401. CrossRef
11. Understanding the local actions of lipids in bone physiology
Alexandrine During, Guillaume Penel, Pierre Hardouin
Progress in Lipid Research.2015; 59: 126. CrossRef