Association of antihypertensive drugs with fracture and bone mineral density: A comprehensive drug-target Mendelian randomization study

Background Observational studies have investigated the associations between antihypertensive drugs and fracture risk as well as bone mineral density (BMD), but yielding controversial results. Methods In this study, a comprehensive drug-target Mendelian randomization (MR) analysis was conducted to systematically examine the associations between genetic proxies for eight common antihypertensive drugs and three bone health-related traits (fracture, total body BMD [TB-BMD], and estimated heel BMD [eBMD]). The main analysis used the inverse-variance weighted (IVW) method to estimate the causal effect. Multiple MR methods were also employed to test the robustness of the results. Results The genetic proxies for angiotensin receptor blockers (ARBs) were associated with a reduced risk of fracture (odds ratio [OR] = 0.67, 95% confidence interval [CI]: 0.54 to 0.84; P = 4.42 × 10-4; P-adjusted = 0.004), higher TB-BMD (β = 0.36, 95% CI: 0.11 to 0.61; P = 0.005; P-adjusted = 0.022), and higher eBMD (β = 0.30, 95% CI: 0.21 to 0.38; P = 3.59 × 10-12; P-adjusted = 6.55 × 10-11). Meanwhile, genetic proxies for calcium channel blockers (CCBs) were associated with an increased risk of fracture (OR = 1.07, 95% CI: 1.03 to 1.12; P = 0.002; P-adjusted = 0.013). Genetic proxies for potassium sparing diuretics (PSDs) showed negative associations with TB-BMD (β = -0.61, 95% CI: -0.88 to -0.33; P = 1.55 × 10-5; P-adjusted = 1.86 × 10-4). Genetic proxies for thiazide diuretics had positive associations with eBMD (β = 0.11, 95% CI: 0.03 to 0.18; P = 0.006; P-adjusted = 0.022). No significant heterogeneity or pleiotropy was identified. The results were consistent across different MR methods. Conclusions These findings suggest that genetic proxies for ARBs and thiazide diuretics may have a protective effect on bone health, while genetic proxies for CCBs and PSDs may have a negative effect.

[1]  J. Ji,et al.  Association of lipid-lowering drugs with COVID-19 outcomes from a Mendelian randomization study , 2021, eLife.

[2]  N. Timpson,et al.  Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement. , 2021, JAMA.

[3]  Fang-Yuan Teng,et al.  Angiotensin Receptor Blocker is Associated with a Lower Fracture Risk: An Updated Systematic Review and Meta-Analysis , 2021, International journal of clinical practice.

[4]  G. Kerkhoffs,et al.  Antihypertensive drugs demonstrate varying levels of hip fracture risk: A systematic review and meta-analysis. , 2021, Injury.

[5]  E. E. Vincent,et al.  Genetically-proxied therapeutic inhibition of antihypertensive drug targets and risk of common cancers , 2021, medRxiv.

[6]  P. Zeng,et al.  Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization. , 2021, American journal of human genetics.

[7]  Yawen Liu,et al.  Thiazide Use and Fracture Risk: An updated Bayesian Meta-Analysis , 2019, Scientific Reports.

[8]  Shiyun Ma,et al.  Thiazide Diuretics and the Incidence of Osteoporotic Fracture: A Systematic Review and Meta-Analysis of Cohort Studies , 2019, Front. Pharmacol..

[9]  P. Elliott,et al.  Use of Genetic Variants Related to Antihypertensive Drugs to Inform on Efficacy and Side Effects , 2019, Circulation.

[10]  Stephen Burgess,et al.  PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations , 2019, Bioinform..

[11]  R. Prentice,et al.  The renin-angiotensin aldosterone system and osteoporosis: findings from the Women’s Health Initiative , 2019, Osteoporosis International.

[12]  Stephen Burgess,et al.  A comparison of robust Mendelian randomization methods using summary data , 2019, bioRxiv.

[13]  David M. Evans,et al.  An atlas of genetic influences on osteoporosis in humans and mice , 2018, Nature Genetics.

[14]  Y. Goh,et al.  A comprehensive overview on osteoporosis and its risk factors , 2018, Therapeutics and clinical risk management.

[15]  Christian Gieger,et al.  Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits , 2018, Nature Genetics.

[16]  G. Lip,et al.  2018 ESC/ESH Guidelines for the management of arterial hypertension. , 2018, European heart journal.

[17]  P. Elliott,et al.  Blood pressure-lowering drugs and secondary prevention of cardiovascular disease: systematic review and meta-analysis , 2018, Journal of hypertension.

[18]  B. Neale,et al.  Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases , 2018, Nature Genetics.

[19]  Dylan S. Small,et al.  Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score , 2018, The Annals of Statistics.

[20]  David M. Evans,et al.  Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects. , 2018, American journal of human genetics.

[21]  Pim van der Harst,et al.  Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease , 2017, Circulation research.

[22]  David S. Wishart,et al.  DrugBank 5.0: a major update to the DrugBank database for 2018 , 2017, Nucleic Acids Res..

[23]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[24]  G. Davey Smith,et al.  Orienting the causal relationship between imprecisely measured traits using GWAS summary data , 2017, PLoS genetics.

[25]  G. Landman,et al.  Is orthostatic hypotension related to falling? A meta-analysis of individual patient data of prospective observational studies , 2017, Age and ageing.

[26]  G. Smith,et al.  Mendelian randomization in cardiometabolic disease: challenges in evaluating causality , 2017, Nature Reviews Cardiology.

[27]  Olena O Yavorska,et al.  MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data , 2017, International journal of epidemiology.

[28]  Neil M Davies,et al.  Mendelian randomization: a novel approach for the prediction of adverse drug events and drug repurposing opportunities , 2017, bioRxiv.

[29]  Szilard Voros,et al.  Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes. , 2016, The New England journal of medicine.

[30]  E. Barrett-Connor,et al.  ARB users exhibit a lower fracture incidence than ACE inhibitor users among older hypertensive men , 2016, Age and ageing.

[31]  B. Wettermark,et al.  [PP.LB01.10] PREFERRED DRUG CLASSES TO INITIATE ANTIHYPERTENSIVE TREATMENT IN SWEDISH PRIMARY CARE: RESULTS FROM THE SWEDISH PRIMARY CARE CARDIOVASCULAR DATABASE , 2016 .

[32]  Stephen Burgess,et al.  PhenoScanner: a database of human genotype–phenotype associations , 2016, Bioinform..

[33]  G. Davey Smith,et al.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.

[34]  L. Engesæter,et al.  Risk of hip fracture among older people using antihypertensive drugs: a nationwide cohort study , 2015, BMC Geriatrics.

[35]  G. Davey Smith,et al.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression , 2015, International journal of epidemiology.

[36]  R. Zhu,et al.  Local renin-angiotensin system is associated with bone mineral density of glucocorticoid-induced osteoporosis patients , 2015, Osteoporosis International.

[37]  D. Nickerson,et al.  A Multivariate Genome-Wide Association Analysis of 10 LDL Subfractions, and Their Response to Statin Treatment, in 1868 Caucasians , 2014, bioRxiv.

[38]  L. Lix,et al.  Risk of Osteoporotic Fractures With Angiotensin II Receptor Blockers Versus Angiotensin‐Converting Enzyme Inhibitors in Hypertensive Community‐Dwelling Elderly , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[39]  M. Tinetti,et al.  Antihypertensive medications and serious fall injuries in a nationally representative sample of older adults. , 2014, JAMA internal medicine.

[40]  S. Majumdar,et al.  Antihypertensive medications, bone mineral density, and fractures: a review of old cardiac drugs that provides new insights into osteoporosis , 2014, Endocrine.

[41]  G. Nagel,et al.  Blood pressure and falls in community-dwelling people aged 60 years and older in the VHM&PP cohort , 2013, BMC Geriatrics.

[42]  S. Yano,et al.  Fracture risk is increased by the complication of hypertension and treatment with calcium channel blockers in postmenopausal women with type 2 diabetes , 2013, Journal of Bone and Mineral Metabolism.

[43]  P. Živný,et al.  Protective Effect of Amlodipine on Rat Bone Tissue after Orchidectomy , 2012, Pharmacology.

[44]  A. Egberts,et al.  Pharmacogenetics in randomized controlled trials: considerations for trial design. , 2011, Pharmacogenomics.

[45]  L. Corrêa,et al.  Adverse effects of the amlodipine on bone healing of the mandibular fracture: an experimental study in rats , 2011, Oral and Maxillofacial Surgery.

[46]  Hitoshi Ando,et al.  Protective effect of amlodipine against osteoporosis in stroke-prone spontaneously hypertensive rats. , 2010, European journal of pharmacology.

[47]  M. Menger,et al.  Inhibition of angiotensin‐converting enzyme stimulates fracture healing and periosteal callus formation – role of a local renin‐angiotensin system , 2010, British journal of pharmacology.

[48]  M. Noda,et al.  Dsl1p, an Essential Component of the Golgi-Endoplasmic Reticulum Retrieval System in Yeast, Uses the Same Sequence Motif to Interact with Different Subunits of the COPI Vesicle Coat* , 2003, Journal of Biological Chemistry.

[49]  T. Ogihara,et al.  Angiotensin II accelerates osteoporosis by activating osteoclasts , 2008, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[50]  G. Gamba,et al.  Thiazide diuretics directly induce osteoblast differentiation and mineralized nodule formation by interacting with a sodium chloride co-transporter in bone. , 2007, Journal of the American Society of Nephrology.

[51]  Thomas W Wilson,et al.  Antihypertensive medications and blood sugar: theories and implications. , 2006, The Canadian journal of cardiology.

[52]  Peter Vestergaard,et al.  Treatment with beta-blockers, ACE inhibitors, and calcium-channel blockers is associated with a reduced fracture risk: a nationwide case–control study , 2006, Journal of hypertension.

[53]  A. Sanabria,et al.  Randomized controlled trial. , 2005, World journal of surgery.

[54]  A. LaCroix,et al.  Low-Dose Hydrochlorothiazide and Preservation of Bone Mineral Density in Older Adults , 2000, Annals of Internal Medicine.

[55]  I. Reid,et al.  Hydrochlorothiazide reduces loss of cortical bone in normal postmenopausal women: a randomized controlled trial. , 2000, The American journal of medicine.

[56]  J. A. Franci,et al.  Antireproductive effect of the calcium channel blocker amlodipine in male rats. , 2000, Experimental and toxicologic pathology : official journal of the Gesellschaft fur Toxikologische Pathologie.

[57]  J. Aloia,et al.  Effects of growth hormone and testosterone on cortical bone formation and bone density in aged orchiectomized rats. , 1999, Bone.

[58]  L. Niskanen,et al.  Effect of angiotensin-converting-enzyme inhibition compared with conventional therapy on cardiovascular morbidity and mortality in hypertension: the Captopril Prevention Project (CAPPP) randomised trial , 1999, The Lancet.

[59]  T. Arnett,et al.  Modulation of the resorptive activity of rat osteoclasts by small changes in extracellular pH near the physiological range. , 1996, Bone.

[60]  T. Meyer,et al.  Intracellular calcium regulates insulin-like growth factor-I messenger ribonucleic acid levels. , 1993, Endocrinology.

[61]  D. Mellström,et al.  Antihypertensive drug classes and the risk of hip fracture: results from the Swedish primary care cardiovascular database. , 2019, Journal of hypertension.

[62]  V. Musini,et al.  First-line drugs for hypertension. , 2018, The Cochrane database of systematic reviews.

[63]  N. Kosaka,et al.  A Potent 1,4-Dihydropyridine L-type Calcium Channel Blocker, Benidipine, Promotes Osteoblast Differentiation , 2001, Calcified Tissue International.

[64]  T. Chambers,et al.  Angiotensin II is generated from angiotensin I by bone cells and stimulates osteoclastic bone resorption in vitro. , 1997, The Journal of endocrinology.