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Ramesh J, Selvarajan S, Krishnamurthy S, Kopula Sathyamoorthy S, Senthil Kumar D. Evaluation of 13 Formulae for Calculated LDL-C Using Direct Homogenous Assay in a South Indian Population. J Appl Lab Med 2024:jfae048. [PMID: 38809754 DOI: 10.1093/jalm/jfae048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/17/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND LDL cholesterol (LDL-C) is regarded as a significant therapeutic target and a known risk factor for atherosclerosis. It can be calculated using the results of the other lipid tests or tested directly. Despite its shortcomings, the Friedewald formula is most frequently utilized since it is simple and practical. Until now, several formulae have been proposed for calculating LDL-C; however, their accuracy has not been evaluated across different populations. We sought to evaluate the validity of calculated LDL-C by comparing the findings with values acquired by the direct homogeneous technique, utilizing 13 distinct formulae from the literature. METHODS This study was a retrospective observational study conducted for a year at SRIHER, Chennai, Tamil Nadu, India. From the total 25 043 patients who had their serum lipid profile tested, 16 314 participants had their fasting blood sugar and fasting lipid profile measured simultaneously, and they were chosen for the research. RESULTS The de Cordova, Chen, Martin/Hopkins (initial), and Teerakanchana equations correlated well with the direct LDL-C assay. When the dataset was stratified according to triglycerides, the Chen and Martin/Hopkins initial equations had the better measurement of agreement compared to other equations. The Martin/Hopkins initial equation outperformed all the other equations when the whole dataset irrespective of the triglyceride population was considered. CONCLUSIONS Our study suggests that the Martin/Hopkins initial equation outperformed all the other equations and can be used as an alternative to direct LDL-C measurement in a South Indian population.
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Affiliation(s)
- Janani Ramesh
- ESIC Medical College and Hospital, Chennai, Tamil Nadu, India
| | - Sathya Selvarajan
- Department of Laboratory Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Sowmya Krishnamurthy
- Department of Biochemistry, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Sridharan Kopula Sathyamoorthy
- Department of Laboratory Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Dhivya Senthil Kumar
- Department of Laboratory Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
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Natale F, Franzese R, Marotta L, Mollo N, Solimene A, Luisi E, Gentile C, Loffredo FS, Golino P, Cimmino G. Evolving Concepts of the SCORE System: Subtracting Cholesterol from Risk Estimation: A Way for a Healthy Longevity? Life (Basel) 2024; 14:679. [PMID: 38929662 PMCID: PMC11204887 DOI: 10.3390/life14060679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
The role of cholesterol, mainly low-density lipoproteins (LDL-C), as a causal risk factor for atherosclerotic cardiovascular disease (ASCVD) is now established and accepted by the international scientific community. Based on this evidence, the European and American guidelines recommend early risk stratification and "rapid" achievement of the suggested target according to the risk estimation to reduce the number of major cardiovascular events. Prolonged exposure over the years to high levels of LDL-C is one of the determining factors in the development and progression of atherosclerotic plaque, on which the action of conventional risk factors (cigarette smoking, excess weight, sedentary lifestyle, arterial hypertension, diabetes mellitus) as well as non-conventional risk factors (gut microbiota, hyperuricemia, inflammation), alone or in combination, favors the destabilization of the atherosclerotic lesion with rupture/fissuration/ulceration and consequent formation of intravascular thrombosis, which leads to the acute clinical manifestations of acute coronary syndromes. In the current clinical practice, there is a growing number of cases that, although extremely common, are emblematic of the concept of long-term exposure to the risk factor (LDL hypercholesterolemia), which, not adequately controlled and in combination with other risk factors, has favored the onset of major cardiovascular events. The triple concept of "go lower, start earlier and keep longer!" should be applied in current clinical practice at any level of prevention. In the present manuscript, we will review the current evidence and documents supporting the causal role of LDL-C in determining ASCVD and whether it is time to remove it from any score.
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Affiliation(s)
- Francesco Natale
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
| | - Rosa Franzese
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Luigi Marotta
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Noemi Mollo
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Achille Solimene
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Ettore Luisi
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Carmine Gentile
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Francesco S. Loffredo
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Paolo Golino
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy; (F.N.); (R.F.); (L.M.); (N.M.); (A.S.); (E.L.); (C.G.); (F.S.L.); (P.G.)
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Giovanni Cimmino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
- Cardiology Unit, AOU Luigi Vanvitelli, 80138 Naples, Italy
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Boccara F, Sabouret P, Boileau C, Georges JL, Leclercq C, Lesnik P, Bruckert E. Establishing a multi-specialty consensus in the clinical need for hypercholesterolemia management and its implication for patients access to innovative therapies. Panminerva Med 2024; 66:18-26. [PMID: 37851332 DOI: 10.23736/s0031-0808.23.04999-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
BACKGROUND Increased level of blood LDL-C has a causal and cumulative effect on advancing atherosclerotic cardiovascular diseases (ASCVD). European guidelines for treating high LDL-C levels have been recently updated. However, in France, several challenges (e.g., physician and patient awareness, healthcare management) limit the application of management guidelines. The aim of this study was to understand the current opinions and perceived unmet clinical needs in recognising and managing hypercholesterolemia as an ASCVD risk factor, and to explore consensus around factors that support the effective management of elevated LDL-C. METHODS An expert group of cardiologists, endocrinologists, biology/genetics researchers, and a health technology assessments expert, from France was convened. The current management of hypercholesterolemia and barriers to achieving LDL-C goals in France were discussed and 44 statements were developed. Wider consensus was assessed by sending the statements as a 4-point Likert Scale questionnaire to cardiologists and endocrinologists across France. The consensus threshold was defined as ≥75%. RESULTS A total of 101 responses were received. Consensus was very high (>90%) in 25 (57%) statements, high (≥75%) in 18 (41%) statements and was not achieved (<75%) only in 1 (2%) of statements. Overall, 43 statements achieved consensus. CONCLUSIONS Based on consensus levels, key recommendations for improving current guidelines and approaches to care have been developed. Implementation of these recommendations will lead to better concordance with international treatment guidelines and increase levels of education for healthcare practitioners and patients. In turn, this will improve the available treatment pathways for cardiovascular diseases, potentially creating improved patient outcomes in the future.
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Affiliation(s)
- Franck Boccara
- Department of Cardiology, Saint-Antoine Research Center, Institut National de la Santé et de la Recherche Médicale (INSERM) UMR S938, Saint-Antoine Hospital, Hôpitaux de l'Est Parisien, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne University, Paris, France -
| | - Pierre Sabouret
- Service of Cardiology, Institute of Cardiology, Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
| | - Catherine Boileau
- Department of Genetics, LVTS - Institut National de la Santé et de la Recherche Médicale (INSERM) U1148, Bichat-Claude Bernard Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France
| | - Jean-Louis Georges
- Service of Cardiology, Center Hospitalier de Versailles, Le Chesnay, France
- Annales de Cardiologie et Angéiologie, Elsevier Masson SAS, Issy les Moulineaux, France
| | - Christophe Leclercq
- Service of Cardiology, Rennes University Hospital, University of Rennes, Rennes, France
| | - Philippe Lesnik
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR_S 1166, Pitié-Salpêtrière University Hospital, Sorbonne University, Paris, France
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Kwok MK, Schooling CM. Unraveling Potential Sex-Specific Effects of Cardiovascular Medications on Longevity Using Mendelian Randomization. J Am Heart Assoc 2023; 12:e030943. [PMID: 38108247 PMCID: PMC10863757 DOI: 10.1161/jaha.123.030943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 10/18/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Establishing the sex-specific efficacy of cardiovascular medications is pivotal to evidence-based clinical practice, potentially closing the gender gap in longevity. Trials large enough to establish sex differences are unavailable. This study evaluated sex-specific effects of commonly prescribed cardiovascular medications on lifespan. METHODS AND RESULTS In a two-sample Mendelian randomization study, established genetic variants mimicking effects of lipid-lowering drugs, antihypertensives, and diabetes drugs were applied to genetic associations with lifespan proxied by UK Biobank maternal (n=412 937) and paternal (n=415 311) attained age. Estimates were obtained using inverse variance weighting, with sensitivity analyses where possible. For lipid-lowering drugs, genetically mimicked PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors were associated with longer lifespan, particularly in men (2.39 years per SD low-density lipoprotein cholesterol reduction [95% CI, 0.42-4.36], P for interaction=0.14). Genetically mimicked treatments targeting APOC3, LPL, or possibly LDLR were associated with longer lifespan in both sexes. For antihypertensives, genetically mimicked β-blockers and calcium channel blockers were associated with longer lifespan, particularly in men (P for interaction=0.17 for β-blockers and 0.31 for calcium channel blockers). For diabetes drugs, genetically mimicked metformin was associated with longer lifespan in both sexes. No associations were found for genetically mimicked statins, ezetimibe, or angiotensin-converting enzyme inhibitors. CONCLUSIONS PCSK9 inhibitors, β-blockers, and calcium channel blockers may prolong lifespan in the general population, particularly men. Treatments targeting APOC3, LPL, or LDLR and metformin may be relevant to both sexes. Whether other null findings are attributable to lack of efficacy requires investigation. Further investigation of repurposing should be conducted.
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Affiliation(s)
- Man Ki Kwok
- School of Nursing and Health Studies, Hong Kong Metropolitan UniversityHong KongChina
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
| | - C. Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong KongHong KongChina
- City University of New York Graduate School of Public Health and Health PolicyNew YorkNY
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Chen H, Zhou X, Hu J, Li S, Wang Z, Zhu T, Cheng H, Zhang G. Genetic insights into the association of statin and newer nonstatin drug target genes with human longevity: a Mendelian randomization analysis. Lipids Health Dis 2023; 22:220. [PMID: 38082436 PMCID: PMC10714481 DOI: 10.1186/s12944-023-01983-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND It remains controversial whether the long-term use of statins or newer nonstatin drugs has a positive effect on human longevity. Therefore, this study aimed to investigate the genetic associations between different lipid-lowering therapeutic gene targets and human longevity. METHODS Two-sample Mendelian randomization analyses were conducted. The exposures comprised genetic variants that proxy nine drug target genes mimicking lipid-lowering effects (LDLR, HMGCR, PCKS9, NPC1L1, APOB, CETP, LPL, APOC3, and ANGPTL3). Two large-scale genome-wide association study (GWAS) summary datasets of human lifespan, including up to 500,193 European individuals, were used as outcomes. The inverse-variance weighting method was applied as the main approach. Sensitivity tests were conducted to evaluate the robustness, heterogeneity, and pleiotropy of the results. Causal effects were further validated using expression quantitative trait locus (eQTL) data. RESULTS Genetically proxied LDLR variants, which mimic the effects of lowering low-density lipoprotein cholesterol (LDL-C), were associated with extended lifespan. This association was replicated in the validation set and was further confirmed in the eQTL summary data of blood and liver tissues. Mediation analysis revealed that the genetic mimicry of LDLR enhancement extended lifespan by reducing the risk of major coronary heart disease, accounting for 22.8% of the mediation effect. The genetically proxied CETP and APOC3 inhibitions also showed causal effects on increased life expectancy in both outcome datasets. The lipid-lowering variants of HMGCR, PCKS9, LPL, and APOB were associated with longer lifespans but did not causally increase extreme longevity. No statistical evidence was detected to support an association between NPC1L1 and lifespan. CONCLUSION This study suggests that LDLR is a promising genetic target for human longevity. Lipid-related gene targets, such as PCSK9, CETP, and APOC3, might potentially regulate human lifespan, thus offering promising prospects for developing newer nonstatin therapies.
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Affiliation(s)
- Han Chen
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China.
- Branch of Health Promotion and Education, Jiangsu Anti-aging Association, Nanjing, People's Republic of China.
| | - Xiaoying Zhou
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China
| | - Jingwen Hu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Shuo Li
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China
| | - Zi Wang
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China
| | - Tong Zhu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Hong Cheng
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Guoxin Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 300# Guangzhou Road, Nanjing, 210029, People's Republic of China.
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Daghlas I, Gill D. Mendelian randomization as a tool to inform drug development using human genetics. CAMBRIDGE PRISMS. PRECISION MEDICINE 2023; 1:e16. [PMID: 38550933 PMCID: PMC10953771 DOI: 10.1017/pcm.2023.5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 01/14/2023] [Accepted: 01/30/2023] [Indexed: 04/11/2024]
Abstract
Drug development is essential to the advancement of human health, however, the process is slow, costly, and at high risk of failure at all stages. A promising strategy for expediting and improving the probability of success in the drug development process is the use of naturally randomized human genetic variation for drug target identification and validation. These data can be harnessed using the Mendelian randomization (MR) analytic paradigm to proxy the lifelong consequences of genetic perturbations of drug targets. In this review, we discuss the myriad applications of the MR paradigm for human drug target identification and validation. We review the methodology and applications of MR, key limitations of MR, and potential future opportunities for research. Throughout the review, we refer to illustrative examples of MR analyses investigating the consequences of genetic inhibition of interleukin 6 signaling which, in some cases, have anticipated results from randomized controlled trials. As human genetic data become more widely available, we predict that MR will serve as a key pillar of support for drug development efforts.
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Affiliation(s)
- Iyas Daghlas
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
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Schooling CM, Zhao JV. Insights into Causal Cardiovascular Risk Factors from Mendelian Randomization. Curr Cardiol Rep 2023; 25:67-76. [PMID: 36640254 DOI: 10.1007/s11886-022-01829-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/07/2022] [Indexed: 01/15/2023]
Abstract
PURPOSE OF THE REVIEW This review summarizes major insights into causal risk factors for cardiovascular disease (CVD) by using Mendelian randomization (MR) to obtain unconfounded estimates, contextualized within its strengths and weaknesses. RECENT FINDINGS MR studies have confirmed the role of major CVD risk factors, including alcohol, smoking, adiposity, blood pressure, type 2 diabetes, lipids, and possibly inflammation, but added that the relation with alcohol is likely linear, confirmed the role of diastolic blood pressure, identified apolipoprotein B as the major target lipid, and foreshadowed results of some trials concerning anti-inflammatories. Identifying a healthy diet and the role of early life influences, such as birth weight, has proved more difficult. Use of MR has winnowed empirically driven hypotheses about CVD into a set of genetically validated targets of intervention. Greater inclusion of global diversity in genetic studies and the use of an overarching framework would enable even more informative MR studies.
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Affiliation(s)
- C M Schooling
- School of Public Health and Health Policy, City University of New York, 55 West 125th St, NY, 10027, New York, USA. .,School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
| | - J V Zhao
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Fang S, Yarmolinsky J, Gill D, Bull CJ, Perks CM, Davey Smith G, Gaunt TR, Richardson TG. Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study. PLoS Med 2023; 20:e1003988. [PMID: 36595504 PMCID: PMC9810198 DOI: 10.1371/journal.pmed.1003988] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 11/18/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Prostate cancer (PrCa) is the second most prevalent malignancy in men worldwide. Observational studies have linked the use of low-density lipoprotein cholesterol (LDL-c) lowering therapies with reduced risk of PrCa, which may potentially be attributable to confounding factors. In this study, we performed a drug target Mendelian randomisation (MR) analysis to evaluate the association of genetically proxied inhibition of LDL-c-lowering drug targets on risk of PrCa. METHODS AND FINDINGS Single-nucleotide polymorphisms (SNPs) associated with LDL-c (P < 5 × 10-8) from the Global Lipids Genetics Consortium genome-wide association study (GWAS) (N = 1,320,016) and located in and around the HMGCR, NPC1L1, and PCSK9 genes were used to proxy the therapeutic inhibition of these targets. Summary-level data regarding the risk of total, advanced, and early-onset PrCa were obtained from the PRACTICAL consortium. Validation analyses were performed using genetic instruments from an LDL-c GWAS conducted on male UK Biobank participants of European ancestry (N = 201,678), as well as instruments selected based on liver-derived gene expression and circulation plasma levels of targets. We also investigated whether putative mediators may play a role in findings for traits previously implicated in PrCa risk (i.e., lipoprotein a (Lp(a)), body mass index (BMI), and testosterone). Applying two-sample MR using the inverse-variance weighted approach provided strong evidence supporting an effect of genetically proxied inhibition of PCSK9 (equivalent to a standard deviation (SD) reduction in LDL-c) on lower risk of total PrCa (odds ratio (OR) = 0.85, 95% confidence interval (CI) = 0.76 to 0.96, P = 9.15 × 10-3) and early-onset PrCa (OR = 0.70, 95% CI = 0.52 to 0.95, P = 0.023). Genetically proxied HMGCR inhibition provided a similar central effect estimate on PrCa risk, although with a wider 95% CI (OR = 0.83, 95% CI = 0.62 to 1.13, P = 0.244), whereas genetically proxied NPC1L1 inhibition had an effect on higher PrCa risk with a 95% CI that likewise included the null (OR = 1.34, 95% CI = 0.87 to 2.04, P = 0.180). Analyses using male-stratified instruments provided consistent results. Secondary MR analyses supported a genetically proxied effect of liver-specific PCSK9 expression (OR = 0.90 per SD reduction in PCSK9 expression, 95% CI = 0.86 to 0.95, P = 5.50 × 10-5) and circulating plasma levels of PCSK9 (OR = 0.93 per SD reduction in PCSK9 protein levels, 95% CI = 0.87 to 0.997, P = 0.04) on PrCa risk. Colocalization analyses identified strong evidence (posterior probability (PPA) = 81.3%) of a shared genetic variant (rs553741) between liver-derived PCSK9 expression and PrCa risk, whereas weak evidence was found for HMGCR (PPA = 0.33%) and NPC1L1 expression (PPA = 0.38%). Moreover, genetically proxied PCSK9 inhibition was strongly associated with Lp(a) levels (Beta = -0.08, 95% CI = -0.12 to -0.05, P = 1.00 × 10-5), but not BMI or testosterone, indicating a possible role for Lp(a) in the biological mechanism underlying the association between PCSK9 and PrCa. Notably, we emphasise that our estimates are based on a lifelong exposure that makes direct comparisons with trial results challenging. CONCLUSIONS Our study supports a strong association between genetically proxied inhibition of PCSK9 and a lower risk of total and early-onset PrCa, potentially through an alternative mechanism other than the on-target effect on LDL-c. Further evidence from clinical studies is needed to confirm this finding as well as the putative mediatory role of Lp(a).
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Affiliation(s)
- Si Fang
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
| | - James Yarmolinsky
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
| | - Dipender Gill
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Caroline J. Bull
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
- Bristol Renal, Bristol Heart Institute, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- IGF & Metabolic Endocrinology Group, Translational Health Sciences, Bristol Medical School, Learning & Research Building, Southmead Hospital, Bristol, United Kingdom
| | - Claire M. Perks
- IGF & Metabolic Endocrinology Group, Translational Health Sciences, Bristol Medical School, Learning & Research Building, Southmead Hospital, Bristol, United Kingdom
| | | | - George Davey Smith
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
| | - Tom R. Gaunt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
| | - Tom G. Richardson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Medical Research Council (MRC) Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, United Kingdom
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Association of m.5178C>A variant with serum lipid levels: a systematic review and meta-analysis. Biosci Rep 2021; 41:230366. [PMID: 34859818 PMCID: PMC8685646 DOI: 10.1042/bsr20212246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 01/01/2023] Open
Abstract
Background: Emerging evidence shows that m.5178C>A variant is associated with a lower risk of coronary artery disease (CAD). However, the specific mechanisms remain elusive. Since dyslipidemia is one of the most critical risk factors for CAD and accounts for at least 50% of the population-attributable risk, it is tempting to speculate that the reduced CAD risk caused by the m.5178C>A variant may stem from an improved lipid profile. In order to verify this hypothesis, we conducted the present study to clarify the association of m.5178C>A variant with lipid levels. Methods: By searching ten databases for studies published before 30 June 2021. Thirteen East Asian populations (7587 individuals) were included for the analysis. Results: The present study showed that m.5178C>A variant was associated with higher high-density lipoprotein cholesterol (HDL-C) [standardized mean difference (SMD) = 0.12, 95% confidence interval (CI) = 0.06–0.17, P<0.001] and total cholesterol (TC) (SMD = 0.08, 95% CI = 0.02–0.14, P=0.01) levels. In subgroup analysis, the association of m.5178C>A variant with higher HDL-C levels were observed in Japanese (SMD = 0.09, 95% CI = 0.01–0.17, P=0.03) and Chinese populations (SMD = 0.13, 95% CI = 0.07–0.20, P<0.001). However, the association of m.5178C>A variant with lower low-density lipoprotein cholesterol (LDL-C) levels were only observed in Japanese populations (SMD = −0.11, 95% CI = −0.22 to 0.00, P=0.04). Conclusions: The m.5178C>A variant was associated with higher HDL-C and lower LDL-C levels in Japanese populations, which may contribute to decreased CAD risk and longevity of Japanese.
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