Exploring Causal Relationships between Leukocyte Telomere Length, Sex Hormone-Binding Globulin Levels, and Osteoporosis Using Univariable and Multivariable Mendelian Randomization
Kaibo Sun, Mengying Li, Yongtao Wu, Yuangang Wu, Yi Zeng, Shengliang Zhou, Linbo Peng, Bin Shen
Exploring Causal Relationships between Leukocyte Telomere Length, Sex Hormone-Binding Globulin Levels, and Osteoporosis Using Univariable and Multivariable Mendelian Randomization
Objective:: Recent evidence supports that leukocyte telomere length (LTL) may be positively associated with healthy living and inversely correlated with the risk of age-related diseases, including osteoporosis. Furthermore, it is important to note that sex hormone-binding globulin (SHBG) levels play a crucial role in the regulation of osteoporosis by influencing the availability of sex hormones. Hence, this study holds significant importance as it aims to unravel the roles of LTL and SHBG levels and determine which one acts as a predominant intermediary factor in influencing osteoporosis. Using Mendelian randomization (MR), we can gain valuable insights into the intricate relationships between aging, sex hormones, and bone health.
Methods:: Univariable and multivariable and MR analyses were employed in this study. First, we used genetic variants associated with both LTL, as determined from a study involving 472,174 European participants by Codd et al., and SHBG levels, as identified in a study conducted by Ruth et al. with 370,125 participants, as instrumental variables (IVs). Then we aimed to establish a causal relationship between LTL and SHBG levels and their potential impact on osteoporosis using univariable MR. Finally, we conducted multivariable MR to provide insights into the independent and combined effects of LTL, SHBG levels on osteoporosis risk. We used various MR methods, with the primary analysis employing the inverse-variance weighted (IVW) model.
Results:: Univariable MR analysis reveals a potential causal effect of longer LTL on reduced risk of osteoporosis [odds ratio (OR): 0.85; 95% confidence interval (CI): 0.73–0.99; p = 0.03]. Conversely, higher genetically determined SHBG levels affect the risk of osteoporosis positively. (OR: 1.38; 95% CI: 1.09–1.75; p < 0.01). We observed a negative causal effect for LTL on the occurrence of SHBG (OR: 0.96; 95% CI 0.94–0.98, p < 0.01). After adjustment of using multivariable MR, the causal effect of LTL on osteoporosis (OR: 0.92; 95% CI: 0.84–1.03; p = 0.14), and the effect of SHBG on osteoporosis (OR: 1.43; 95% CI: 1.16–1.75; p < 0.01) were observed.
Conclusion:: Longer LTL may confer a protective effect against osteoporosis. Additionally, the levels of SHBG appear to play a crucial role in mediating the relationship between LTL and osteoporosis. By understanding the interplay between these factors, we can gain valuable insights into the mechanisms underlying bone health and aging and potentially identify new avenues for prevention and intervention strategies.
Leukocyte telomere length / Mendelian randomization / Osteoporosis / Sex hormone-binding globulin
[1] |
Smith EM, Pendlebury DF, Nandakumar J. Structural biology of telomeres and telomerase. Cell Mol Life Sci. 2020;77(1):61–79.
|
[2] |
Wang C, Gu Y, Zhou J, Zang J, Ling X, Li H, et al. Leukocyte telomere length in children born following blastocyst-stage embryo transfer. Nat Med. 2022;28(12):2646–2653.
|
[3] |
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194–1217.
|
[4] |
Schneider CV, Schneider KM, Teumer A, Rudolph KL, Hartmann D, Rader DJ, et al. Association of Telomere Length with Risk of disease and mortality. JAMA Intern Med. 2022;182(3):291–300.
|
[5] |
Gampawar P, Schmidt R, Schmidt H. Telomere length and brain aging: a systematic review and meta-analysis. Ageing Res Rev. 2022;80:101679.
|
[6] |
Farr JN, Fraser DG, Wang H, Jaehn K, Ogrodnik MB, Weivoda MM, et al. Identification of senescent cells in the bone microenvironment. J Bone Miner Res. 2016;31(11):1920–1929.
|
[7] |
Tao L, Huang Q, Yang R, Dai Y, Zeng Y, Li C, et al. The age modification to leukocyte telomere length effect on bone mineral density and osteoporosis among Chinese elderly women. J Bone Miner Metab. 2019;37(6):1004–1012.
|
[8] |
Valdes AM, Richards JB, Gardner JP, Swaminathan R, Kimura M, Xiaobin L, et al. Telomere length in leukocytes correlates with bone mineral density and is shorter in women with osteoporosis. Osteoporos Int. 2007;18(9):1203–1210.
|
[9] |
Lane NE. Epidemiology, etiology, and diagnosis of osteoporosis. Am J Obstet Gynecol. 2006;194(2 Suppl):S3–S11.
|
[10] |
Bekaert S, van Pottelbergh I, de Meyer T, Zmierczak H, Kaufman JM, van Oostveldt P, et al. Telomere length versus hormonal and bone mineral status in healthy elderly men. Mech Ageing Dev. 2005;126(10):1115–1122.
|
[11] |
Nielsen BR, Linneberg A, Bendix L, Harboe M, Christensen K, Schwarz P. Association between leukocyte telomere length and bone mineral density in women 25-93 years of age. Exp Gerontol. 2015;66:25–31.
|
[12] |
Kalyan S, Pick N, Mai A, Murray M, Kidson K, Chu J, et al. Premature spinal bone loss in women living with HIV is associated with shorter leukocyte telomere length. Int J Environ Res Public Health. 2018;15(5):1018.
|
[13] |
Herrmann M, Pusceddu I, März W, Herrmann W. Telomere biology and age-related diseases. Clin Chem Lab Med. 2018;56(8):1210–1222.
|
[14] |
Schneider HP. Androgens and antiandrogens. Ann N Y Acad Sci. 2003;997:292–306.
|
[15] |
Compston JE. Sex steroids and bone. Physiol Rev. 2001;81(1):419–447.
|
[16] |
Venken K, Callewaert F, Boonen S, Vanderschueren D. Sex hormones, their receptors and bone health. Osteoporos Int. 2008;19(11):1517–1525.
|
[17] |
Aribas E, Kavousi M, Laven JSE, Ikram MA, Roeters van Lennep JE. Aging, cardiovascular risk, and SHBG levels in men and women from the general population. J Clin Endocrinol Metab. 2021;106(10):2890–2900.
|
[18] |
Marriott RJ, Murray K, Budgeon CA, Codd V, Hui J, Arscott GM, et al. Serum testosterone and sex hormone-binding globulin are inversely associated with leucocyte telomere length in men: a cross-sectional analysis of the UK biobank study. Eur J Endocrinol. 2023;188(2):236–247.
|
[19] |
Yeap BB, Hui J, Knuiman MW, Handelsman DJ, Flicker L, Divitini ML, et al. Cross-sectional associations of sex hormones with leucocyte telomere length, a marker of biological age, in a community-based cohort of older men. Clin Endocrinol (Oxf). 2019;90(4):562–569.
|
[20] |
Hoppé E, Bouvard B, Royer M, Audran M, Legrand E. Sex hormone-binding globulin in osteoporosis. Joint Bone Spine. 2010;77(4):306–312.
|
[21] |
Cawthon PM, Schousboe JT, Harrison SL, Ensrud KE, Black D, Cauley JA, et al. Sex hormones, sex hormone binding globulin, and vertebral fractures in older men. Bone. 2016;84:271–278.
|
[22] |
Davies NM, Holmes MV, Davey Smith G. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ. 2018;362:k601.
|
[23] |
Huang D, Lin S, He J, Wang Q, Zhan Y. Association between COVID-19 and telomere length: a bidirectional Mendelian randomization study. J Med Virol. 2022;94(11):5345–5353.
|
[24] |
Emdin CA, Khera AV, Kathiresan S. Mendelian randomization. JAMA. 2017;318(19):1925–1926.
|
[25] |
Sun K, Ming Y, Wu Y, Zeng Y, Xu J, Wu L, et al. The genetic causal association between educational attainment and risk of 12 common musculoskeletal disorders: a two-sample Mendelian randomization. Orthop Surg. 2023;15(11):2814–2821.
|
[26] |
Evans DM, Davey Smith G. Mendelian randomization: new applications in the coming age of hypothesis-free causality. Annu Rev Genomics Hum Genet. 2015;16:327–350.
|
[27] |
Codd V, Wang Q, Allara E, Musicha C, Kaptoge S, Stoma S, et al. Polygenic basis and biomedical consequences of telomere length variation. Nat Genet. 2021;53(10):1425–1433.
|
[28] |
Ruth KS, Day FR, Tyrrell J, Thompson DJ, Wood AR, Mahajan A, et al. Using human genetics to understand the disease impacts of testosterone in men and women. Nat Med. 2020;26(2):252–258.
|
[29] |
Palmer TM, Lawlor DA, Harbord RM, Sheehan NA, Tobias JH, Timpson NJ, et al. Using multiple genetic variants as instrumental variables for modifiable risk factors. Stat Methods Med Res. 2012;21(3):223–242.
|
[30] |
Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, et al. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023;613(7944):508–518.
|
[31] |
Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013;37(7):658–665.
|
[32] |
Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–314.
|
[33] |
Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through egger regression. Int J Epidemiol. 2015;44(2):512–525.
|
[34] |
Sanderson E. Multivariable Mendelian randomization and mediation. Cold Spring Harb Perspect Med. 2021;11(2):a038984.
|
[35] |
Wu F, Huang Y, Hu J, Shao Z. Mendelian randomization study of inflammatory bowel disease and bone mineral density. BMC Med. 2020;18(1):312.
|
[36] |
Yang J, He X, Qian L, Zhao B, Fan Y, Gao F, et al. Association between plasma proteome and childhood neurodevelopmental disorders: a two-sample Mendelian randomization analysis. EBioMedicine. 2022;78:103948.
|
[37] |
Verbanck M, Chen CY, Neale B, do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018;50(5):693–698.
|
[38] |
Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology. 2017;28(1):30–42.
|
[39] |
Walne AJ, Dokal I. Dyskeratosis Congenita: a historical perspective. Mech Ageing Dev. 2008;129(1–2):48–59.
|
[40] |
Harvey N, Dennison E, Cooper C. Osteoporosis: impact on health and economics. Nat Rev Rheumatol. 2010;6(2):99–105.
|
[41] |
Curtis EM, Codd V, Nelson C, D'Angelo S, Wang Q, Allara E, et al. Telomere length and risk of incident fracture and arthroplasty: findings from UK biobank. J Bone Miner Res. 2022;37(10):1997–2004.
|
[42] |
Arsenis NC, You T, Ogawa EF, Tinsley GM, Zuo L. Physical activity and telomere length: impact of aging and potential mechanisms of action. Oncotarget. 2017;8(27):45008–45019.
|
[43] |
Shiels MS, Rohrmann S, Menke A, Selvin E, Crespo CJ, Rifai N, et al. Association of cigarette smoking, alcohol consumption, and physical activity with sex steroid hormone levels in US men. Cancer Causes Control. 2009;20(6):877–886.
|
[44] |
Varsavsky M, Reyes-García R, García-Martín A, Ramírez RG, Avilés-Perez MD, Muñoz-Torres M. SHBG levels are associated with bone loss and vertebral fractures in patients with prostate cancer. Osteoporos Int. 2013;24(2):713–719.
|
[45] |
Richards JB, Valdes AM, Gardner JP, Paximadas D, Kimura M, Nessa A, et al. Higher serum vitamin D concentrations are associated with longer leukocyte telomere length in women. Am J Clin Nutr. 2007;86(5):1420–1425.
|
[46] |
Chin KY, Ima-Nirwana S, Wan Ngah WZ. Vitamin D is significantly associated with total testosterone and sex hormone-binding globulin in Malaysian men. Aging Male. 2015;18(3):175–179.
|
[47] |
Sanders JL, Cauley JA, Boudreau RM, Zmuda JM, Strotmeyer ES, Opresko PL, et al. Leukocyte telomere length is not associated with BMD, osteoporosis, or fracture in older adults: results from the health, aging and body composition study. J Bone Miner Res. 2009;24(9):1531–1536.
|
[48] |
Coburn SB, Graubard BI, Trabert B, McGlynn KA, Cook MB. Associations between circulating sex steroid hormones and leukocyte telomere length in men in the National Health and nutrition examination survey. Andrology. 2018;6(4):542–546.
|
/
〈 | 〉 |