The relationship between inflammatory biomarkers and macular pigment optical density in hypertensive patients: a cross-sectional study

[1] Al-Zamil WM, Yassin SA. Recent developments in age-related macular degeneration: a review. Clin Interv Aging. 2017; 12:1313–30. Al-ZamilWM YassinSA Recent developments in age-related macular degeneration: a review Clin Interv Aging 2017 12 1313 30 Search in Google Scholar

[2] Chandrasekera A, Jayarathne V, Fonseka D. Relationship between macula pigment optical density and visual performances in patients with dry age related macular degeneration accompanied with macula drusens. Int J Ophthal. 2016; 1:5. ChandrasekeraA JayarathneV FonsekaD Relationship between macula pigment optical density and visual performances in patients with dry age related macular degeneration accompanied with macula drusens Int J Ophthal 2016 1 5 Search in Google Scholar

[3] Bernstein PS, Delori FC, Richer S, van Kuijk FJ, Wenzel AJ. The value of measurement of macular carotenoid pigment optical densities and distributions in age-related macular degeneration and other retinal disorders. Vision Res. 2010; 50:716–28. BernsteinPS DeloriFC RicherS van KuijkFJ WenzelAJ The value of measurement of macular carotenoid pigment optical densities and distributions in age-related macular degeneration and other retinal disorders Vision Res 2010 50 716 28 Search in Google Scholar

[4] Davey PG, Alvarez SD, Lee JY. Macular pigment optical density: repeatability, intereye correlation, and effect of ocular dominance. Clin Ophthalmol. 2016; 10:1671–8. DaveyPG AlvarezSD LeeJY Macular pigment optical density: repeatability, intereye correlation, and effect of ocular dominance Clin Ophthalmol 2016 10 1671 8 Search in Google Scholar

[5] Pauletto P, Rattazzi M. Inflammation and hypertension: the search for a link. Nephrol Dial Transplant. 2006; 21:850–3. PaulettoP RattazziM Inflammation and hypertension: the search for a link Nephrol Dial Transplant 2006 21 850 3 Search in Google Scholar

[6] Ansar W, Ghosh S. Inflammation and inflammatory diseases, markers, and mediators: role of CRP in some inflammatory diseases. Biology of C Reactive Protein in Health and Disease. 2016:67–107. doi: 10.1007/978-81-322-2680-2_4. AnsarW GhoshS Inflammation and inflammatory diseases, markers, and mediators: role of CRP in some inflammatory diseases Biology of C Reactive Protein in Health and Disease 2016 67 107 10.1007/978-81-322-2680-2_4 Open DOISearch in Google Scholar

[7] Ridker PM, Silvertown JD. Inflammation, C-reactive protein, and atherothrombosis. J Periodontol. 2008; 79:1544–51. RidkerPM SilvertownJD Inflammation, C-reactive protein, and atherothrombosis J Periodontol 2008 79 1544 51 Search in Google Scholar

[8] Razi SM, Manish G, Keshav GK, Sukriti K, Gupta A. Site or size of waist circumference, which one is more important in metabolic syndrome? Int J Med Public Health. 2016; 6:69–72. RaziSM ManishG KeshavGK SukritiK GuptaA Site or size of waist circumference, which one is more important in metabolic syndrome? Int J Med Public Health 2016 6 69 72 Search in Google Scholar

[9] Ackermann D, Jones J, Barona J, Calle MC, Kim JE, LaPia B, et al. Waist circumference is positively correlated with markers of inflammation and negatively with adiponectin in women with metabolic syndrome. Nutr Res. 2011; 31:197–204. AckermannD JonesJ BaronaJ CalleMC KimJE LaPiaB Waist circumference is positively correlated with markers of inflammation and negatively with adiponectin in women with metabolic syndrome Nutr Res 2011 31 197 204 Search in Google Scholar

[10] Lim JU, Lee JH, Kim JS, Hwang YI, Kim TH, Lim SY, et al. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. Int J Chron Obstruct Pulmon Dis. 2017; 12:2465–75. LimJU LeeJH KimJS HwangYI KimTH LimSY Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients Int J Chron Obstruct Pulmon Dis 2017 12 2465 75 Search in Google Scholar

[11] Zampieri FG, Jacob V, Barbeiro HV, Pinheiro da Silva F, de Souza HP. Influence of body mass index on inflammatory profile at admission in critically Ill septic patients. Int J Inflam. 2015; 2015:734857. doi: 10.1155/2015/734857 ZampieriFG JacobV BarbeiroHV Pinheiro da SilvaF de SouzaHP Influence of body mass index on inflammatory profile at admission in critically Ill septic patients Int J Inflam 2015 2015 734857 10.1155/2015/734857 Open DOISearch in Google Scholar

[12] Calling S, Johansson S-E, Wolff M, Sundquist J, Sundquist K. The ratio of total Cholesterol to high density lipoprotein cholesterol and myocardial infarction in Women's health in the Lund area (WHILA): a 17–year follow–up cohort study. BMC Cardiovasc Disord. 2019; 19:239. doi: 10.1186/s12872-019-1228-7 CallingS JohanssonS-E WolffM SundquistJ SundquistK The ratio of total Cholesterol to high density lipoprotein cholesterol and myocardial infarction in Women's health in the Lund area (WHILA): a 17–year follow–up cohort study BMC Cardiovasc Disord 2019 19 239 10.1186/s12872-019-1228-7 Open DOISearch in Google Scholar

[13] McLaughlin T, Abbasi F, Cheal K, Chu J, Lamendola C, Reaven G. Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern Med. 2003; 139:802–9. McLaughlinT AbbasiF ChealK ChuJ LamendolaC ReavenG Use of metabolic markers to identify overweight individuals who are insulin resistant Ann Intern Med 2003 139 802 9 Search in Google Scholar

[14] Hulley SB, Cummings SR, Browner WS, Grady D, Newman TB. Designing clinical research: an epidemiologic approach. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2013. Appendix 6C, p. 79. HulleySB CummingsSR BrownerWS GradyD NewmanTB Designing clinical research: an epidemiologic approach 4th ed. Philadelphia, PA Lippincott Williams & Wilkins 2013 Appendix 6C, 79 Search in Google Scholar

[15] Hong IH, Jung WH, Lee JH, Chang IB. Macular Pigment Optical Density in the Korean population: a cross sectional study. J Korean Med Sci. 2020; 35:e30. HongIH JungWH LeeJH ChangIB Macular Pigment Optical Density in the Korean population: a cross sectional study J Korean Med Sci 2020 35 e30 Search in Google Scholar

[16] Knight ML. The application of high-sensitivity c-reactive protein in clinical practice: a 2015 update. U. S. Pharmacist. 2015; 40:50–3. KnightML The application of high-sensitivity c-reactive protein in clinical practice: a 2015 update U. S. Pharmacist 2015 40 50 3 Search in Google Scholar

[17] de Heredia FP, Gómez-Martínez S, Marcos A. Obesity, inflammation and the immune system. Proc Nutr Soc. 2012; 71:332–8. de HerediaFP Gómez-MartínezS MarcosA Obesity, inflammation and the immune system Proc Nutr Soc 2012 71 332 8 Search in Google Scholar

[18] Lee HN, Ismail F, Sudarno R, Pei AL, Subrayan V. Correlations among macular pigment optical density, central macular thickness, and body mass index. Int Eye Res. 2020;246–50. LeeHN IsmailF SudarnoR PeiAL SubrayanV Correlations among macular pigment optical density, central macular thickness, and body mass index Int Eye Res 2020 246 50 Search in Google Scholar

[19] Yang Y, Wang B, Yuan H, Li X. Triglycerides to high-density lipoprotein cholesterol ratio is the best surrogate marker for insulin resistance in nonobese middle-aged and elderly population: a cross-sectional study. Int J Endocrinol. 2021; 2021:6676569. doi: 10.1155/2021/6676569 YangY WangB YuanH LiX Triglycerides to high-density lipoprotein cholesterol ratio is the best surrogate marker for insulin resistance in nonobese middle-aged and elderly population: a cross-sectional study Int J Endocrinol 2021 2021 6676569 10.1155/2021/6676569 Open DOISearch in Google Scholar