Abstract
Objective
Few studies have investigated the impact of basal metabolic rate (BMR) on the development of urolithiasis, and the causal relationship is yet to be established. In this study, a two-sample Mendelian randomization (MR) analysis was utilized to identify the causal relationship between BMR and risk of urolithiasis.
Method
Genetic instruments for BMR were drawn from a public genome-wide association study (GWAS). Summary dates on BMR and urolithiasis were obtained from a GWAS meta-analysis with sample sizes of 454,874 and 212,453, respectively. The inverse-variance weighted (IVW) method was provided as the main approach to estimate the causal relationship. The weighted-median method and the MR-Egger method were used as supplements to the IVW method. In addition, we conducted sensitivity analyses, including heterogeneity tests, pleiotropy tests and leave-one-out analysis, to assess the robustness of the outcomes. Furthermore, the funnel plot asymmetry was visually inspected to evaluate possible bias.
Results
The inverse-variance weighted data revealed that genetically predicted BMR significantly decreased the risk of urolithiasis [beta coefficient (beta): − 0.2366, odds ratio (OR): 0.7893, 95% confidence interval (CI) 0.6504–0.9579, p = 0.0166].
Conclusions
BMR has causal effects on urolithiasis in an MR study, and the risk of urolithiasis in patients with lower levels of BMR is higher.
Similar content being viewed by others
Data availability
The data for this study is sourced from the public database: ieu open gwas project (https://gwas.mrcieu.ac.uk/).
References
Desai M, Sun Y, Buchholz N, Fuller A, Matsuda T, Matlaga B, Miller N, Bolton D, Alomar M, Ganpule A (2017) Treatment selection for urolithiasis: percutaneous nephrolithomy, ureteroscopy, shock wave lithotripsy, and active monitoring. World J Urol 35(9):1395–1399
Romero V, Akpinar H, Assimos DG (2010) Kidney stones: a global picture of prevalence, incidence, and associated risk factors. Rev Urol 12(2–3):e86-96
Li S, Huang X, Liu J, Yue S, Hou X, Hu L, Wu J (2022) Trends in the incidence and DALYs of urolithiasis from 1990 to 2019: results from the global burden of disease study 2019. Front Public Health 10:825541
Besiroglu H, Otunctemur A, Ozbek E (2015) The metabolic syndrome and urolithiasis: a systematic review and meta-analysis. Ren Fail 37(1):1–6
Traxer O, Safar H, Daudon M, Haymann JP (2006) Metabolic syndrome, obesity and urolithiasis. Prog Urol 16(4):418–420
Kohjimoto Y, Sasaki Y, Iguchi M, Matsumura N, Inagaki T, Hara I (2013) Association of metabolic syndrome traits and severity of kidney stones: results from a nationwide survey on urolithiasis in Japan. Am J Kidney Dis 61(6):923–929
Wong Y, Cook P, Roderick P, Somani BK (2016) Metabolic syndrome and kidney stone disease: a systematic review of literature. J Endourol 30(3):246–253
Khan SR, Pearle MS, Robertson WG, Gambaro G, Canales BK, Doizi S, Traxer O, Tiselius HG (2016) Kidney stones. Nat Rev Dis Prim 2:16008
Aune D, Mahamat-Saleh Y, Norat T, Riboli E (2018) Body fatness, diabetes, physical activity and risk of kidney stones: a systematic review and meta-analysis of cohort studies. Eur J Epidemiol 33(11):1033–1047
Ferraro PM, Taylor EN, Gambaro G, Curhan GC (2017) Dietary and lifestyle risk factors associated with incident kidney stones in men and women. J Urol 198(4):858–863
Ping H, Lu N, Wang M, Lu J, Liu Y, Qiao L, Wang Y, Jiang L, Zhang X (2019) New-onset metabolic risk factors and the incidence of kidney stones: a prospective cohort study. BJU Int 124(6):1028–1033
Abufaraj M, Xu T, Cao C, Waldhoer T, Seitz C, D’Andrea D, Siyam A, Tarawneh R, Fajkovic H, Schernhammer E et al (2021) Prevalence and trends in kidney stone among adults in the USA: analyses of national health and nutrition examination survey 2007–2018 data. Eur Urol Focus 7(6):1468–1475
Kang HW, Seo SP, Lee HY, Kim K, Ha YS, Kim WT, Kim YJ, Yun SJ, Kim WJ, Lee SC (2021) A high basal metabolic rate is an independent predictor of stone recurrence in obese patients. Investig Clin Urol 62(2):195–200
Boehm FJ, Zhou X (2022) Statistical methods for Mendelian randomization in genome-wide association studies: a review. Comput Struct Biotechnol J 20:2338–2351
Yuan S, Larsson SC (2022) Coffee and caffeine consumption and risk of kidney stones: a Mendelian randomization study. Am J Kidney Dis 79(1):9-14.e11
Burgess S, Davey Smith G, Davies NM, Dudbridge F, Gill D, Glymour MM, Hartwig FP, Holmes MV, Minelli C, Relton CL et al (2019) Guidelines for performing Mendelian randomization investigations. Wellcome Open Res 4:186
Greco MF, Minelli C, Sheehan NA, Thompson JR (2015) Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat Med 34(21):2926–2940
Burgess S, Butterworth A, Thompson SG (2013) Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol 37(7):658–665
Jin ZC, Zhou XH, He J (2015) Statistical methods for dealing with publication bias in meta-analysis. Stat Med 34(2):343–360
Chambers J, Coppack F, Deverall P, Jackson G, Sowton E (1991) The continuity equation tested in a bileaflet aortic prosthesis. Int J Cardiol 31(2):149–154
Kliemann N, Murphy N, Viallon V, Freisling H, Tsilidis KK, Rinaldi S, Mancini FR, Fagherazzi G, Boutron-Ruault MC, Boeing H et al (2020) Predicted basal metabolic rate and cancer risk in the European Prospective Investigation into Cancer and Nutrition. Int J Cancer 147(3):648–661
Kim SY, Yoo DM, Bang WJ, Choi HG (2022) Obesity is positively associated and alcohol intake is negatively associated with nephrolithiasis. Nutrients 14(19):4122
Sari R, Balci MK, Altunbas H, Karayalcin U (2003) The effect of body weight and weight loss on thyroid volume and function in obese women. Clin Endocrinol 59(2):258–262
Ayala-Moreno MR, Guerrero-Hernández J, Vergara-Castañeda A, Salazar-Aceves G, Cruz-Mercado DE (2018) Thyroid function in pediatric population with different nutritional status. Boletin medico del Hospital Infantil de Mexico 75(5):279–286
Wang Y, Dong X, Fu C, Su M, Jiang F, Xu D, Li R, Qian J, Wang N, Chen Y et al (2020) Thyroid stimulating hormone (TSH) is associated with general and abdominal obesity: a cohort study in school-aged girls during puberty in East China. Front Endocrinol 11:620
Dursun F, Atasoy Öztürk T, Seymen Karabulut G, Kırmızıbekmez H (2019) Obesity-related thyroiditis in childhood: relationship with insulin resistance. J Pediatr Endocrinol Metab JPEM 32(5):471–478
Joshi SR (2018) Thyro-weight: unlocking the link between thyroid disorders and weight. J Assoc Physicians India 66(3):75–78
Liu G, Liang L, Bray GA, Qi L, Hu FB, Rood J, Sacks FM, Sun Q (2017) Thyroid hormones and changes in body weight and metabolic parameters in response to weight loss diets: the POUNDS LOST trial. Int J Obesity (2005) 41(6):878–886
Chen H, Zhang H, Tang W, Xi Q, Liu X, Duan Y, Liu C (2013) Thyroid function and morphology in overweight and obese children and adolescents in a Chinese population. J Pediatr Endocrinol Metab JPEM 26(5–6):489–496
Ghergherehchi R, Hazhir N (2015) Thyroid hormonal status among children with obesity. Ther Adv Endocrinol Metab 6(2):51–55
Roef GL, Rietzschel ER, Van Daele CM, Taes YE, De Buyzere ML, Gillebert TC, Kaufman JM (2014) Triiodothyronine and free thyroxine levels are differentially associated with metabolic profile and adiposity-related cardiovascular risk markers in euthyroid middle-aged subjects. Thyroid 24(2):223–231
Fontenelle LC, Feitosa MM, Severo JS, Freitas TE, Morais JB, Torres-Leal FL, Henriques GS, do Nascimento Marreiro D (2016) Thyroid function in human obesity: underlying mechanisms. Hormone Metab Res 48(12):787–794
Emami E, Heidari-Soureshjani S, Oroojeni Mohammadjavad A, Sherwin CM (2023) Obesity and the risk of developing kidney stones: a systematic review and meta-analysis. Iran J Kidney Dis 1(2):63–72
Shavit L, Ferraro PM, Johri N, Robertson W, Walsh SB, Moochhala S, Unwin R (2015) Effect of being overweight on urinary metabolic risk factors for kidney stone formation. Nephrol Dial Transplant 30(4):607–613
Poore W, Boyd CJ, Singh NP, Wood K, Gower B, Assimos DG (2020) Obesity and its impact on kidney stone formation. Rev Urol 22(1):17–23
Carbone A, Al Salhi Y, Tasca A, Palleschi G, Fuschi A, De Nunzio C, Bozzini G, Mazzaferro S, Pastore AL (2018) Obesity and kidney stone disease: a systematic review. Ital J Urol Nephrol 70(4):393–400
Wang Q, Hu W, Lu Y, Hu H, Zhang J, Wang S (2018) The impact of body mass index on quantitative 24-h urine chemistries in stone forming patients: a systematic review and meta-analysis. Urolithiasis 46(6):523–533
Jones P, Karim Sulaiman S, Gamage KN, Tokas T, Jamnadass E, Somani BK (2021) Do lifestyle factors including smoking, alcohol, and exercise impact your risk of developing kidney stone disease? Outcomes of a systematic review. J Endourol 35(1):1–7
Lin BB, Lin ME, Huang RH, Hong YK, Lin BL, He XJ (2020) Dietary and lifestyle factors for primary prevention of nephrolithiasis: a systematic review and meta-analysis. BMC Nephrol 21(1):267
Ferraro PM, Taylor EN, Curhan GC (2023) Factors associated with sex differences in the risk of kidney stones. Nephrol Dialysi Transplant 38(1):177–183
Takeuchi H, Aoyagi T (2019) Clinical characteristics in urolithiasis formation according to body mass index. Biomed Rep 11(1):38–42
Wang S, Zhang Y, Zhang X, Tang Y, Li J (2020) Upper urinary tract stone compositions: the role of age and gender. Int Braz J Urol 46(1):70–80
Xu JZ, Li C, Xia QD, Lu JL, Wan ZC, Hu L, Lv YM, Lei XM, Guan W, Xun Y et al (2022) Sex disparities and the risk of urolithiasis: a large cross-sectional study. Ann Med 54(1):1627–1635
Funding
The present study was supported by the research start-up fee for the Eighth Affiliated Hospital, Sun Yat-sen University (contract no. zdbykyqdf005).
Author information
Authors and Affiliations
Contributions
ZL: project design, data collection, data analysis, and manuscript writing. YC: project design, data collection, data analysis, and manuscript writing. ZT: data collection, and manuscript writing. JZ: data analysis, and manuscript writing. ZL: data analysis, and manuscript writing. FT: project design and project reviewing. ZH: project design and project reviewing. All authors read and approved the study to be published. All authors agree to be accountable for all aspects of this work.
Corresponding authors
Ethics declarations
Conflict of interest
All authors declare that they do not have any conflicts of interest to state.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Lu, Z., Chen, Y., Tang, Z. et al. Basal metabolic rate and the risk of urolithiasis: a two-sample Mendelian randomization study. World J Urol 42, 235 (2024). https://doi.org/10.1007/s00345-024-04946-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00345-024-04946-x