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Jin Q, Ren F, Song P. The association between ACE inhibitors and psoriasis based on the drug-targeted Mendelian randomization and real-world pharmacovigilance analyses. Expert Rev Clin Pharmacol 2024; 17:93-100. [PMID: 38078460 DOI: 10.1080/17512433.2023.2292605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/03/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Although a growing number of observational studies suggest that angiotensin-converting enzyme inhibitors (ACEIs) intake may be a risk factor for psoriasis, evidence is still insufficient to draw definitive conclusions. RESEARCH DESIGN AND METHODS Drug-targeted Mendelian randomization (DTMR) was used to analyze the causality between genetic proxied ACEIs and psoriasis. Furthermore, we performed a disproportionality analysis based on the FDA adverse event reporting system (FAERS) database to identify more suspicious subclasses of ACEIs. RESULTS Using two kinds of genetic proxy instruments, the present DTMR research identified genetic proxied ACEIs as risk factors for psoriasis. Furthermore, our disproportionality analysis revealed that ramipril, trandolapril, perindopril, lisinopril, and enalapril were associated with the risk of psoriasis, which validates and refines the findings of the DTMR. CONCLUSIONS Our integrative study verified that ACEIs, especially ramipril, trandolapril, perindopril, lisinopril, and enalapril, tended to increase the risk of psoriasis statistically.
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Affiliation(s)
- Qiubai Jin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Feihong Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate school, Beijing University of Chinese Medicine, Beijing, China
| | - Ping Song
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Huang X, Zhang T, Guo P, Gong W, Zhu H, Zhao M, Yuan Z. Association of antihypertensive drugs with fracture and bone mineral density: A comprehensive drug-target Mendelian randomization study. Front Endocrinol (Lausanne) 2023; 14:1164387. [PMID: 37056679 PMCID: PMC10086430 DOI: 10.3389/fendo.2023.1164387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
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.
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Affiliation(s)
- Xin Huang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, Shandong, China
| | - Tianxin Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, Shandong, China
| | - Ping Guo
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, Shandong, China
| | - Weiming Gong
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, Shandong, China
| | - Hengchao Zhu
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, United States
| | - Meng Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Zhongshang Yuan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Shandong University, Jinan, Shandong, China
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Harlow CE, Gandawijaya J, Bamford RA, Martin ER, Wood AR, van der Most PJ, Tanaka T, Leonard HL, Etheridge AS, Innocenti F, Beaumont RN, Tyrrell J, Nalls MA, Simonsick EM, Garimella PS, Shiroma EJ, Verweij N, van der Meer P, Gansevoort RT, Snieder H, Gallins PJ, Jima DD, Wright F, Zhou YH, Ferrucci L, Bandinelli S, Hernandez DG, van der Harst P, Patel VV, Waterworth DM, Chu AY, Oguro-Ando A, Frayling TM. Identification and single-base gene-editing functional validation of a cis-EPO variant as a genetic predictor for EPO-increasing therapies. Am J Hum Genet 2022; 109:1638-1652. [PMID: 36055212 PMCID: PMC9502050 DOI: 10.1016/j.ajhg.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/03/2022] [Indexed: 11/30/2022] Open
Abstract
Hypoxia-inducible factor prolyl hydroxylase inhibitors (HIF-PHIs) are currently under clinical development for treating anemia in chronic kidney disease (CKD), but it is important to monitor their cardiovascular safety. Genetic variants can be used as predictors to help inform the potential risk of adverse effects associated with drug treatments. We therefore aimed to use human genetics to help assess the risk of adverse cardiovascular events associated with therapeutically altered EPO levels to help inform clinical trials studying the safety of HIF-PHIs. By performing a genome-wide association meta-analysis of EPO (n = 6,127), we identified a cis-EPO variant (rs1617640) lying in the EPO promoter region. We validated this variant as most likely causal in controlling EPO levels by using genetic and functional approaches, including single-base gene editing. Using this variant as a partial predictor for therapeutic modulation of EPO and large genome-wide association data in Mendelian randomization tests, we found no evidence (at p < 0.05) that genetically predicted long-term rises in endogenous EPO, equivalent to a 2.2-unit increase, increased risk of coronary artery disease (CAD, OR [95% CI] = 1.01 [0.93, 1.07]), myocardial infarction (MI, OR [95% CI] = 0.99 [0.87, 1.15]), or stroke (OR [95% CI] = 0.97 [0.87, 1.07]). We could exclude increased odds of 1.15 for cardiovascular disease for a 2.2-unit EPO increase. A combination of genetic and functional studies provides a powerful approach to investigate the potential therapeutic profile of EPO-increasing therapies for treating anemia in CKD.
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Affiliation(s)
- Charli E Harlow
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Josan Gandawijaya
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Rosemary A Bamford
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Emily-Rose Martin
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Andrew R Wood
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Peter J van der Most
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen 9713, the Netherlands
| | - Toshiko Tanaka
- Longitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Hampton L Leonard
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA; Data Tecnica International, Glen Echo, MD 20812, USA; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD 20892, USA
| | - Amy S Etheridge
- Eshelman School of Pharmacy and Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, 120 Mason Farm Road, Chapel Hill, NC 27599, USA
| | | | - Robin N Beaumont
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Jessica Tyrrell
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA; Data Tecnica International, Glen Echo, MD 20812, USA; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD 20892, USA
| | - Eleanor M Simonsick
- Longitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Pranav S Garimella
- Division of Nephrology-Hypertension, University of California San Diego, San Diego, CA, USA
| | - Eric J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD 20892, USA
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713, the Netherlands
| | - Peter van der Meer
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen 9713, the Netherlands
| | - Ron T Gansevoort
- University of Groningen, University Medical Center Groningen, Department of Nephrology, Groningen 9713, the Netherlands
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen 9713, the Netherlands
| | - Paul J Gallins
- Bioinformatics Research Center, North Carolina State University, 1 Lampe Drive, Raleigh, NC 27695, USA
| | - Dereje D Jima
- Bioinformatics Research Center, North Carolina State University, 1 Lampe Drive, Raleigh, NC 27695, USA; Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27606, USA
| | - Fred Wright
- Bioinformatics Research Center, North Carolina State University, 1 Lampe Drive, Raleigh, NC 27695, USA
| | - Yi-Hui Zhou
- Bioinformatics Research Center, North Carolina State University, 1 Lampe Drive, Raleigh, NC 27695, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | | | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Utrecht, Utrecht 3584, the Netherlands
| | | | | | | | - Asami Oguro-Ando
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK.
| | - Timothy M Frayling
- University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter EX2 5DW, UK.
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