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Constable PA, Kapoor G. Is white the right light for the clinical electrooculogram? Doc Ophthalmol 2021; 143:297-304. [PMID: 34160736 DOI: 10.1007/s10633-021-09845-9] [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: 04/13/2021] [Accepted: 06/14/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To investigate if a lower luminance monochromatic LED stimulus could be used as an alternative to a high luminance white light for the clinical electrooculogram. METHODS Clinical electrooculograms were recorded in color normal participants (N = 23) aged 22.6 ± 1.2 years, 7 male and 16 female using the standard 100 cd.m-2 white illuminant and four monochromatic LEDs with peak wavelengths of 448, 534, 596 and 634 nm at 30 cd.m-2. Pupils were dilated and there was a 30 cd.m-2pre-adaptation to white light for 2 min followed by 15 min dark adaptation and 20 min recording in the light stimulus using a Ganzfeld stimulator. RESULTS The normalized LP:DTratio for the short wavelength LED (448 nm) was equivalent in amplitude and timing to the ISCEV standard EOG (p = .99). The LP:DTratio for the white (100 cd.m-2) and 448 nm (30 cd.m-2) were (median ± SEM): 2.49 ± .11 and 2.47 ± .11. The time to light-rise peak was also equivalent being 9.0 ± .2 and 8.0 ± .4 min (p = .54). CONCLUSIONS Consideration may be given to using a short wavelength monochromatic stimulus that is more comfortable for the subject than the current 100 cd.m-2 illuminant.
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Affiliation(s)
- Paul A Constable
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, PO Box 2100, Adelaide, SA, 5001, Australia.
| | - Garima Kapoor
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
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Böhm V, Lietz G, Olmedilla-Alonso B, Phelan D, Reboul E, Bánati D, Borel P, Corte-Real J, de Lera AR, Desmarchelier C, Dulinska-Litewka J, Landrier JF, Milisav I, Nolan J, Porrini M, Riso P, Roob JM, Valanou E, Wawrzyniak A, Winklhofer-Roob BM, Rühl R, Bohn T. From carotenoid intake to carotenoid blood and tissue concentrations - implications for dietary intake recommendations. Nutr Rev 2021; 79:544-573. [PMID: 32766681 PMCID: PMC8025354 DOI: 10.1093/nutrit/nuaa008] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
There is uncertainty regarding carotenoid intake recommendations, because positive and negative health effects have been found or are correlated with carotenoid intake and tissue levels (including blood, adipose tissue, and the macula), depending on the type of study (epidemiological vs intervention), the dose (physiological vs supraphysiological) and the matrix (foods vs supplements, isolated or used in combination). All these factors, combined with interindividual response variations (eg, depending on age, sex, disease state, genetic makeup), make the relationship between carotenoid intake and their blood/tissue concentrations often unclear and highly variable. Although blood total carotenoid concentrations <1000 nmol/L have been related to increased chronic disease risk, no dietary reference intakes (DRIs) exist. Although high total plasma/serum carotenoid concentrations of up to 7500 nmol/L are achievable after supplementation, a plateauing effect for higher doses and prolonged intake is apparent. In this review and position paper, the current knowledge on carotenoids in serum/plasma and tissues and their relationship to dietary intake and health status is summarized with the aim of proposing suggestions for a "normal," safe, and desirable range of concentrations that presumably are beneficial for health. Existing recommendations are likewise evaluated and practical dietary suggestions are included.
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Affiliation(s)
- Volker Böhm
- Institute of Nutritional Sciences, Friedrich Schiller University Jena, Jena, Germany
| | - Georg Lietz
- Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Begoña Olmedilla-Alonso
- Institute of Food Science, Technology and Nutrition, Consejo Superior de Investigaciones Científicas, Madrid, Spain
| | - David Phelan
- Nutrition Research Centre Ireland, School of Health Science, Carriganore House, Waterford Institute of Technology, Waterford, Ireland
| | | | | | - Patrick Borel
- C2VN, INRAE, INSERM, Aix Marseille Univ, Marseille, France
| | - Joana Corte-Real
- Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Angel R de Lera
- Departmento de Química Orgánica, Centro De Investigaciones Biomédicas and Instituto de Investigación Biomédica de Vigo, Universidade de Vigo, Vigo, Spain
| | | | | | | | - Irina Milisav
- University of Ljubljana, Ljubljana, Slovenia
- University of Ljubljana, Faculty of Health Sciences, Ljubljana, Slovenia and with University of Ljubljana, Faculty of Medicine, Ljubljana, Slovenia
| | - John Nolan
- Nutrition Research Centre Ireland, School of Health Science, Carriganore House, Waterford Institute of Technology, Waterford, Ireland
| | - Marisa Porrini
- Universitàdegli Studi di Milano, Department of Food, Environmental and Nutritional Sciences, Division of Human Nutrition, Milan, Italy
| | - Patrizia Riso
- Universitàdegli Studi di Milano, Department of Food, Environmental and Nutritional Sciences, Division of Human Nutrition, Milan, Italy
| | - Johannes M Roob
- Research Unit Chronic Inflammation in Nephrology, Clinical Division of Nephrology, Department of Internal Medicine, Medical University, Graz, Austria
| | | | - Agata Wawrzyniak
- Institute of Human Nutrition Sciences, Warsaw University of Life Sciences, Warsaw, Poland
| | - Brigitte M Winklhofer-Roob
- Human Nutrition & Metabolism Research and Training Center, Institute of Molecular Biosciences, Karl-Franzens University, Graz, Austria
| | - Ralph Rühl
- Paprika Bioanalytics BT, Debrecen, Hungary and with CISCAREX UG, Berlin, Germany
| | - Torsten Bohn
- Population Health Department, Luxembourg Institute of Health, Strassen, Luxembourg
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Jorge LPC, Pereira CEG, Jorge E, de Ávila MP. Macular pigment optical density in a Brazilian sample. Int J Retina Vitreous 2018; 4:4. [PMID: 29387455 PMCID: PMC5776767 DOI: 10.1186/s40942-018-0107-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 01/06/2018] [Indexed: 01/21/2023] Open
Abstract
Background To evaluate macular pigment optical density (MPOD) and to identify its determinants in a sample of Brazilian individuals. Methods This was a cross-sectional study. One hundred three healthy individuals had both eyes photographed using a Visucam 500 digital fundus camera (Carl Zeiss Meditec, Jena, Germany) in combination with the MPOD module. Four variables were obtained: maximum MPOD, mean MPOD, MPOD volume, and MPOD area. Demographic data and information on lifestyle habits were also collected.
Results Mean MPOD was 0.14 density unit ± 0.05. MPOD was not influenced by gender, smoking history, or refractive error. MPOD was significantly higher among black individuals than among white and biracial individuals. There was a positive but low correlation between MPOD and age. Conclusion This study found MPOD values to be similar to those found in European samples but lower than other studies performed on Asian and Australian samples. This is the first data regarding MPOD in a South American Population.
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Affiliation(s)
| | | | - Eduardo Jorge
- Instituto Panamericano da Visão, Street T 8 No. 171 Setor Marista, 74150-060 Goiânia, GO Brazil
| | - Marcos Pereira de Ávila
- 2Universidade Federal de Goiás, Av 1 No. 355 Setor Universitário, 74605-020 Goiânia, GO Brazil
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Lima VC, Rosen RB, Farah M. Macular pigment in retinal health and disease. Int J Retina Vitreous 2016; 2:19. [PMID: 27847637 PMCID: PMC5088450 DOI: 10.1186/s40942-016-0044-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 07/21/2016] [Indexed: 12/16/2022] Open
Abstract
Lutein and zeaxanthin, two carotenoid pigments of the xanthophyll subclass, are present in high concentrations in the retina, especially in the macula. They work as a filter protecting the macula from blue light and also as a resident antioxidant and free radical scavenger to reduce oxidative stress-induced damage. Many observational and interventional studies have suggested that lutein and zeaxanthin may reduce the risk of various eye diseases, especially late forms of AMD. In vitro and in vivo studies indicate that they could protect various ocular cells against oxidative damage. Recent research has shown that in addition to traditional mechanisms, lutein and zeaxanthin can influence the viability and function of cells through various signal pathways or transcription factors: for instance, they can affect immune responses and inflammation, and have anti-angiogenic and anti-tumor properties. This review covers the basic aspects and results of recent studies regarding the effects of lutein, zeaxanthin and other carotenoids, such as meso-zeaxanthin, on the eye in different clinical and experimental models and the management of various ocular diseases using these molecules.
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Affiliation(s)
- Verônica Castro Lima
- Retina Service, Hospital Humberto Castro Lima (IBOPC), Salvador, Bahia Brazil ; Retina Service, Department of Ophthalmology, Federal University of São Paulo, São Paulo, Brazil
| | - Richard B Rosen
- Icahn School of Medicine at Mount Sinai, New York, NY USA ; Retina Service, Department of Ophthalmology, The New York Eye and Ear Infirmary of Mount Sinai, 310 East 14th Street, New York, NY 10003 USA
| | - Michel Farah
- Retina Service, Department of Ophthalmology, Federal University of São Paulo, São Paulo, Brazil
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Macular Pigment Optical Density in Chinese Primary Open Angle Glaucoma Using the One-Wavelength Reflectometry Method. J Ophthalmol 2016; 2016:2792103. [PMID: 27144013 PMCID: PMC4842072 DOI: 10.1155/2016/2792103] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Revised: 03/14/2016] [Accepted: 03/23/2016] [Indexed: 01/08/2023] Open
Abstract
Purpose. To investigate macular pigment optical density (MPOD) and its relationship with retinal thickness in primary open angle glaucoma (POAG) patients using the one-wavelength reflectometry method. Methods. A total of 30 eyes from 30 POAG patients (18 males and 12 females, mean age 47.27 ± 16.93) and 52 eyes from 52 controls (27 males and 25 females, mean age 49.54 ± 19.15) were included in this prospective, observational, case-control study. MPOD was measured in a 7-degree area using one-wavelength reflectometry method. Two parameters, max and mean optical density (OD), were used for analyses. Spectral-domain-optical coherence tomography was used to measure retinal thickness, including central retinal thickness (CRT), the macular ganglion cell complex (GCC), and the circumpapillary retinal nerve fiber layer (RNFL). Results. Both maxOD and meanOD were significantly reduced in POAG patients compared with normal subjects (P < 0.001). GCC, CRT, and RNFL thicknesses were also significantly reduced in POAG patients (P < 0.001). GCC thickness had a positive relationship with MPOD. Conclusions. MPOD within the 7-degree area was significantly lower in Chinese POAG patients than in control subjects, and GCC thickness was significantly and positively associated with MPOD. Whether the observed lower MPOD in POAG contributes to the disease process or is secondary to pathological changes caused by the disease (such as loss of ganglion cells) warrants further and longitudinal study.
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Ji Y, Zhang X, Wu K, Su Y, Zuo C, Chen H, Li M, Wen F. Macular pigment optical density in a healthy Chinese population. Acta Ophthalmol 2015; 93:e550-5. [PMID: 25588897 DOI: 10.1111/aos.12645] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 11/24/2014] [Indexed: 01/19/2023]
Abstract
PURPOSE To measure the macular pigment optical density (MPOD) values in a healthy Chinese population using the one-wavelength reflectometry method and to investigate the relationships of MPOD with age, sex, body mass index (BMI), smoking and lens opacities. METHODS A total of 441 healthy participants, aged 3-81 years old (242 male and 199 female subjects), were enrolled in this study. Demographic and lifestyle data were recorded based on physical examinations and questionnaires. Lens opacities were measured according to the Lens Opacities Classification System III (LOCS III). MPOD values were measured at 7° of eccentricity, using the one-wavelength reflectometry method (Visucam 200; Carl Zeiss Meditec). MPOD values were reported in parameters including 'max' and 'mean' optical density (OD). The original MPOD values without automated correction were used for analysis. RESULTS The average values were 0.303 ± 0.097 d.u. (initials of density units) for the max OD and 0.109 ± 0.031 d.u. for the mean OD. A significant inverse relationship was found between age and MPOD (for max OD, β = -0.716, p < 0.001; for mean OD, β = -0.669, p < 0.001). Participants with no lens opacities had higher MPOD values than those with moderate lens opacities (p < 0.001). The MPOD values were not associated with sex, BMI or smoking status. CONCLUSION MPOD within 7° of eccentricity, as measured by one-wavelength reflectometry, was found to decrease with increasing age in a healthy Chinese population, and lens opacities had an impact on these measurements. These results provide a reference value for future studies in the Chinese population.
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Affiliation(s)
- Yuying Ji
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Xiongze Zhang
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Kunfang Wu
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Yu Su
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Chengguo Zuo
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Hui Chen
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Meng Li
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
| | - Feng Wen
- State Key Laboratory of Ophthalmology; Zhongshan Ophthalmic Center; Sun Yat-sen University; Guangzhou China
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