LIPID DISORDERS / CLINICAL RESEARCH
 
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Lipid metabolism is pivotal in diabetic retinopathy (DR) development. Nevertheless, the relationship between lipid-lowering drugs and the risk of DR remains a topic of debate. This study employed Mendelian randomization (MR) to investigate the potential effects of pharmacological lipid-lowering targets on DR and to clarify the causal association between blood lipid characteristics and DR.

Material and methods:
The data comprised genetic variations related to lipid traits and genetic variations associated with lipid-lowering drug targets obtained from the Global Lipid Consortium. Total DR, non-proliferative DR (NPDR), and proliferative DR (PDR) were sourced from the Finnish R9 database. Lipid-lowering drug targets were tested using inverse variance-weighted MR (IVW-MR) and statistics-based MR (SMR). Colocalization and mediation analysis were conducted to validate the results and explore potential mediating factors.

Results:
A reduced risk of total DR and NPDR was associated with genetically improved 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) (OR = 0.62; 95% CI: 0.46–0.83; p = 1.30 × 10–2; OR = 0.49; 95% CI: 0.34–0.70; p = 9.70 × 10–4). Strong colocalization (PP.H4 = 0.85) was observed between whole blood tissue HMGCR expression and a significant MR relationship with total DR (OR = 0.66; 95% CI: 0.52–0.85; p = 7.31 × 10–4). Furthermore, body mass index (BMI) and glycated hemoglobin (HbA1c) are critical factors that mediate the impact of HMGCR and apolipoprotein B (APOB) on DR risk.

Conclusions:
This Mendelian randomization study suggests that abnormalities in triglyceride (TG) levels serve as a pathogenic element in DR. Of the nine lipid-lowering drug targets assessed, HMGCR and APOB have emerged as potential promising targets for managing NPDR. These findings underscore the importance of controlling both BMI and HbA1c levels to optimize outcomes in diabetic patients at risk for DR. The therapeutic mechanisms of HMGCR and APOB in DR go beyond lipid lowering alone, and a multimodal lipid-lowering strategy should be selected early and comprehensively to address the patient’s medical conditions.
REFERENCES (52)
1.
GBD 2021 Diabetes Collaborators. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402: 203-34.
 
2.
Teo ZL, Tham YC, Yu M, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology 2021; 128: 1580-91.
 
3.
Chong DD, Das N, Singh RP. Diabetic retinopathy: screening, prevention, and treatment. Cleve Clin J Med 2024; 91: 503-10.
 
4.
Antonetti DA, Silva PS, Stitt AW. Current understanding of the molecular and cellular pathology of diabetic retinopathy. Nat Rev Endocrinol 2021; 17: 195-206.
 
5.
Kozioł M, Nowak MS, Koń B, Udziela M, Szaflik JP. Regional analysis of diabetic retinopathy and co-existing social and demographic factors in the overall population of Poland. Arch Med Sci 2022; 18: 320-7.
 
6.
Flaxel CJ, Adelman RA, Bailey ST, et al. Diabetic retinopathy preferred practice pattern®. Ophthalmology 2020; 127: P66-145.
 
7.
Mach F, Baigent C, Catapano AL, et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41: 111-88.
 
8.
Banach M, Surma S, Reiner Z, et al. Personalized management of dyslipidemias in patients with diabetes-it is time for a new approach. Cardiovasc Diabetol 2022; 21: 263.
 
9.
Ferreira-Divino LF, Suvitaival T, Rotbain Curovic V, et al. Circulating metabolites and molecular lipid species are associated with future cardiovascular morbidity and mortality in type 1 diabetes. Cardiovasc Diabetol 2022; 21: 135.
 
10.
U.K. Prospective Diabetes Study 27: Plasma lipids and lipoproteins at diagnosis of NIDDM by age and sex. Diabetes Care 1997; 20: 1683-7.
 
11.
Averna M, Banach M, Bruckert E, et al. Practical guidance for combination lipid-modifying therapy in high- and very-high-risk patients: a statement from a European Atherosclerosis Society Task Force. Atherosclerosis 2021; 325: 99-109.
 
12.
Gaita L, Timar B, Timar R, Fras Z, Gaita D, Banach M. Lipid disorders management strategies (2024) in prediabetic and diabetic patients. Pharmaceuticals 2024; 17: 219.
 
13.
Keech AC, Mitchell P, Summanen PA, et al. Effect of fenofibrate on the need for laser treatment for diabetic retinopathy (FIELD study): a randomised controlled trial. Lancet 2007; 370: 1687-97.
 
14.
Mozetic V, Pacheco RL, Latorraca COC, Riera R. Statins and/or fibrates for diabetic retinopathy: a systematic review and meta-analysis. Diabetol Metabol Syndr 2019; 11: 92.
 
15.
Zhang J, McGwin G Jr. Association of statin use with the risk of developing diabetic retinopathy. Arch Ophthalmol 2007; 125: 1096-9.
 
16.
Vail D, Callaway NF, Ludwig CA, Saroj N, Moshfeghi DM. Lipid-lowering medications are associated with lower risk of retinopathy and ophthalmic interventions among united states patients with diabetes. Am J Ophthalmol 2019; 207: 378-84.
 
17.
Kang EY, Chen TH, Garg SJ, et al. Association of statin therapy with prevention of vision-threatening diabetic retinopathy. JAMA Ophthalmol 2019; 137: 363-71.
 
18.
Chen C, Zhang H, Lan Y, et al. Statins as a risk factor for diabetic retinopathy: a Mendelian randomization and cross-sectional observational study. J Transl Med 2024; 22: 298.
 
19.
Davies NM, Howe LJ, Brumpton B, Havdahl A, Evans DM, Davey Smith G. Within family Mendelian randomization studies. Hum Mol Genet 2019; 28: R170-9.
 
20.
Carss KJ, Deaton AM, Del Rio-Espinola A, et al. Using human genetics to improve safety assessment of therapeutics. Nat Rev Drug Discov 2023; 22: 145-62.
 
21.
Skrivankova VW, Richmond RC, Woolf BAR, et al. Strengthening the reporting of observational studies in epidemiology using mendelian randomization: the STROBE-MR Statement. JAMA 2021; 326: 1614-21.
 
22.
Graham SE, Clarke SL, Wu KH, et al. The power of genetic diversity in genome-wide association studies of lipids. Nature 2021; 600: 675-9.
 
23.
Tuuminen R, Loukovaara S. Statin medication in patients with epiretinal membrane is associated with low intravitreal EPO, TGF-beta-1, and VEGF levels. Clin Ophthalmol 2016; 10: 921-8.
 
24.
Ridker PM. LDL cholesterol: controversies and future therapeutic directions. Lancet 2014; 384: 607-17.
 
25.
Borén J, Taskinen MR, Björnson E, Packard CJ. Metabolism of triglyceride-rich lipoproteins in health and dyslipidaemia. Nat Rev Cardiol 2022; 19: 577-92.
 
26.
Katsiki N, Nikolic D, Montalto G, Banach M, Mikhailidis DP, Rizzo M. The role of fibrate treatment in dyslipidemia: an overview. Curr Pharm Design 2013; 19: 3124-31.
 
27.
Sahebkar A, Simental-Mendía LE, Katsiki N, et al. Effect of fenofibrate on plasma apolipoprotein C-III levels: a systematic review and meta-analysis of randomised placebo-controlled trials. BMJ Open 2019; 8: e021508.
 
28.
Rosoff DB, Bell AS, Jung J, Wagner J, Mavromatis LA, Lohoff FW. Mendelian randomization study of PCSK9 and HMG-CoA reductase inhibition and cognitive function. J Am Coll Cardiol 2022; 80: 653-62.
 
29.
Giambartolomei C, Vukcevic D, Schadt EE, et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet 2014; 10: e1004383.
 
30.
Burgess S, Thompson SG. Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol 2011; 40: 755-64.
 
31.
Diabetes Atorvastin Lipid Intervention (DALI) Study Group. The effect of aggressive versus standard lipid lowering by atorvastatin on diabetic dyslipidemia: the DALI study: a double-blind, randomized, placebo-controlled trial in patients with type 2 diabetes and diabetic dyslipidemia. Diabetes Care 2001; 24: 1335-41.
 
32.
Zuber V, Grinberg NF, Gill D, et al. Combining evidence from Mendelian randomization and colocalization: review and comparison of approaches. Am J Human Genet 2022; 109: 767-82.
 
33.
Sobrin L, Chong YH, Fan Q, et al. Genetically Determined plasma lipid levels and risk of diabetic retinopathy: a Mendelian randomization study. Diabetes 2017; 66: 3130-41.
 
34.
Zhu Z, Zhang F, Hu H, et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat Genet 2016; 48: 481-7.
 
35.
Bulum T, Tomić M, Duvnjak L. Total serum cholesterol increases risk for development and progression of nonproliferative retinopathy in patients with type 1 diabetes without therapeutic intervention: prospective, observational study. Arch Med Res 2017; 48: 467-71.
 
36.
Sacks FM, Hermans MP, Fioretto P, et al. Association between plasma triglycerides and high-density lipoprotein cholesterol and microvascular kidney disease and retinopathy in type 2 diabetes mellitus: a global case-control study in 13 countries. Circulation 2014; 129: 999-1008.
 
37.
Dornan TL, Carter RD, Bron AJ, Turner RC, Mann JI. Low density lipoprotein cholesterol: an association with the severity of diabetic retinopathy. Diabetologia 1982; 22: 167-70.
 
38.
Romero-Aroca P, Verges R, Pascual-Fontanilles J, et al. Effect of lipids on diabetic retinopathy in a large cohort of diabetic patients after 10 years of follow-up. J Clin Med 2023; 12: 6674.
 
39.
Li Z, Yuan Y, Qi Q, Wang Q, Feng L. Relationship between dyslipidemia and diabetic retinopathy in patients with type 2 diabetes mellitus: a systematic review and meta-analysis. Syst Rev 2023; 12: 148.
 
40.
Li S, Schooling CM. Investigating the effects of statins on ischemic heart disease allowing for effects on body mass index: a Mendelian randomization study. Sci Rep 2022; 12: 3478.
 
41.
Li S, Schooling CM. A phenome-wide association study of genetically mimicked statins. BMC Med 2021; 19: 151.
 
42.
Williams MJ, Alsehli AM, Gartner SN, et al. The statin target hmgcr regulates energy metabolism and food intake through central mechanisms. Cells 2022; 11: 970.
 
43.
Swerdlow DI, Preiss D, Kuchenbaecker KB, et al. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials. Lancet 2015; 385: 351-61.
 
44.
Sasongko MB, Wong TY, Nguyen TT, et al. Serum apolipoproteins are associated with systemic and retinal microvascular function in people with diabetes. Diabetes 2012; 61: 1785-92.
 
45.
Sasongko MB, Wong TY, Nguyen TT, et al. Serum apolipoprotein AI and B are stronger biomarkers of diabetic retinopathy than traditional lipids. Diabetes Care 2011; 34: 474-9.
 
46.
Banach M, Surma S, Dzida G, et al. The prevention opportunities of retinopathy in diabetic patients - the position paper endorsed by the Polish Lipid Association. Arch Med Sci 2024; 20: 1754-69.
 
47.
Tang L, Xu GT, Zhang JF. Inflammation in diabetic retinopathy: possible roles in pathogenesis and potential implications for therapy. Neural Regen Res 2023; 18: 976-82.
 
48.
Uçgun NI, Yildirim Z, Kiliç N, Gürsel E. The importance of serum lipids in exudative diabetic macular edema in type 2 diabetic patients. Ann N Y Acad Sci 2007; 1100: 213-7.
 
49.
Klein R, Sharrett AR, Klein BE, et al. The association of atherosclerosis, vascular risk factors, and retinopathy in adults with diabetes: the atherosclerosis risk in communities study. Ophthalmology 2002; 109: 1225-34.
 
50.
Gupta A, Gupta V, Thapar S, Bhansali A. Lipid-lowering drug atorvastatin as an adjunct in the management of diabetic macular edema. Am J Ophthalmol 2004; 137: 675-82.
 
51.
Jenkins AJ, Grant MB, Busik JV. Lipids, hyperreflective crystalline deposits and diabetic retinopathy: potential systemic and retinal-specific effect of lipid-lowering therapies. Diabetologia 2022; 65: 587-603.
 
52.
Guthrie SM, Curtis LM, Mames RN, Simon GG, Grant MB, Scott EW. The nitric oxide pathway modulates hemangioblast activity of adult hematopoietic stem cells. Blood 2005; 105: 1916-22.
 
eISSN:1896-9151
ISSN:1734-1922
Journals System - logo
Scroll to top