1
|
Ong SS, Peavey JJ, Hiatt KD, Whitlow CT, Sappington RM, Thompson AC, Lockhart SN, Chen H, Craft S, Rapp SR, Fitzpatrick AL, Heckbert SR, Luchsinger JA, Klein BEK, Meuer SM, Cotch MF, Wong TY, Hughes TM. Association of fractal dimension and other retinal vascular network parameters with cognitive performance and neuroimaging biomarkers: The Multi-Ethnic Study of Atherosclerosis (MESA). Alzheimers Dement 2024; 20:941-953. [PMID: 37828734 PMCID: PMC10916935 DOI: 10.1002/alz.13498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/16/2023] [Accepted: 09/09/2023] [Indexed: 10/14/2023]
Abstract
INTRODUCTION Retinal vascular network changes may reflect the integrity of the cerebral microcirculation, and may be associated with cognitive impairment. METHODS Associations of retinal vascular measures with cognitive function and MRI biomarkers were examined amongst Multi-Ethnic Study of Atherosclerosis (MESA) participants in North Carolina who had gradable retinal photographs at Exams 2 (2002 to 2004, n = 313) and 5 (2010 to 2012, n = 306), and detailed cognitive testing and MRI at Exam 6 (2016 to 2018). RESULTS After adjustment for covariates and multiple comparisons, greater arteriolar fractal dimension (FD) at Exam 2 was associated with less isotropic free water of gray matter regions (β = -0.0005, SE = 0.0024, p = 0.01) at Exam 6, while greater arteriolar FD at Exam 5 was associated with greater gray matter cortical volume (in mm3 , β = 5458, SE = 20.17, p = 0.04) at Exam 6. CONCLUSION Greater arteriolar FD, reflecting greater complexity of the branching pattern of the retinal arteries, is associated with MRI biomarkers indicative of less neuroinflammation and neurodegeneration.
Collapse
Affiliation(s)
- Sally S. Ong
- Department of OphthalmologyWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Jeremy J. Peavey
- Department of Internal MedicineWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Kevin D. Hiatt
- Department of RadiologyWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Christopher T. Whitlow
- Department of RadiologyWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Rebecca M. Sappington
- Department of OphthalmologyWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
- Department of BiochemistryWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Atalie C. Thompson
- Department of OphthalmologyWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Samuel N. Lockhart
- Department of Internal MedicineWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Haiying Chen
- Department of Psychiatry and Behavioral MedicineWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Suzanne Craft
- Department of Internal MedicineWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Stephen R. Rapp
- Biostatistics and Data ScienceWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Annette L. Fitzpatrick
- Department of EpidemiologySchool of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - Susan R. Heckbert
- Department of EpidemiologySchool of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - José A. Luchsinger
- Departments of Medicine and EpidemiologyColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Barbara E. K. Klein
- Department of Ophthalmology and Visual SciencesUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Stacy M Meuer
- Department of Ophthalmology and Visual SciencesUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | | | - Tien Y. Wong
- Singapore Eye Research InstituteSingapore National Eye CenterOphthalmology and Visual Sciences Academic Clinical ProgramDuke‐NUS Medical SchoolSingapore
- Tsinghua MedicineTsinghua UniversityBeijingChina
| | - Timothy M. Hughes
- Department of Internal MedicineWake Forest University School of MedicineWinston‐SalemNorth CarolinaUSA
| |
Collapse
|
2
|
Doney ASF, Nar A, Huang Y, Trucco E, MacGillivray T, Connelly P, Leese GP, McKay GJ. Retinal vascular measures from diabetes retinal screening photographs and risk of incident dementia in type 2 diabetes: A GoDARTS study. Front Digit Health 2022; 4:945276. [PMID: 36120710 PMCID: PMC9470757 DOI: 10.3389/fdgth.2022.945276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/10/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivePatients with diabetes have an increased risk of dementia. Improved prediction of dementia is an important goal in developing future prevention strategies. Diabetic retinopathy screening (DRS) photographs may be a convenient source of imaging biomarkers of brain health. We therefore investigated the association of retinal vascular measures (RVMs) from DRS photographs in patients with type 2 diabetes with dementia risk.Research Design and MethodsRVMs were obtained from 6,111 patients in the GoDARTS bioresource (635 incident cases) using VAMPIRE software. Their association, independent of Apo E4 genotype and clinical parameters, was determined for incident all cause dementia (ACD) and separately Alzheimer's disease (AD) and vascular dementia (VD). We used Cox’s proportional hazards with competing risk of death without dementia. The potential value of RVMs to increase the accuracy of risk prediction was evaluated.ResultsIncreased retinal arteriolar fractal dimension associated with increased risk of ACD (csHR 1.17; 1.08–1.26) and AD (HR 1.33; 1.16–1.52), whereas increased venular fractal dimension (FDV) was associated with reduced risk of AD (csHR 0.85; 0.74–0.96). Conversely, FDV was associated with increased risk of VD (csHR 1.22; 1.07–1.40). Wider arteriolar calibre was associated with a reduced risk of ACD (csHR 0.9; 0.83–0.98) and wider venular calibre was associated with a reduced risk of AD (csHR 0.87; 0.78–0.97). Accounting for competing risk did not substantially alter these findings. RVMs significantly increased the accuracy of prediction.ConclusionsConventional DRS photographs could enhance stratifying patients with diabetes at increased risk of dementia facilitating the development of future prevention strategies.
Collapse
Affiliation(s)
- Alexander S. F. Doney
- Population Health and Genomics, University of Dundee, Dundee, United Kingdom
- Correspondence: Alexander S.F. Doney
| | - Aditya Nar
- Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Yu Huang
- Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Emanuele Trucco
- VAMPIRE project, Computing, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Tom MacGillivray
- VAMPIRE project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter Connelly
- NHS Tayside; NHS Research Scotland Neuroprogressive Disorders and Dementia Research Network, Ninewells Hospital Dundee; University of Dundee, Dundee, Scotland
| | - Graham P. Leese
- Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Gareth J. McKay
- Centre for Public Health, Queen’s University Belfast, Belfast, NIR, United Kingdom
| | | |
Collapse
|
3
|
Mordi IR, Trucco E, Syed MG, MacGillivray T, Nar A, Huang Y, George G, Hogg S, Radha V, Prathiba V, Anjana RM, Mohan V, Palmer CNA, Pearson ER, Lang CC, Doney ASF. Prediction of Major Adverse Cardiovascular Events From Retinal, Clinical, and Genomic Data in Individuals With Type 2 Diabetes: A Population Cohort Study. Diabetes Care 2022; 45:710-716. [PMID: 35043139 DOI: 10.2337/dc21-1124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/20/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Improved identification of individuals with type 2 diabetes at high cardiovascular (CV) risk could help in selection of newer CV risk-reducing therapies. The aim of this study was to determine whether retinal vascular parameters, derived from retinal screening photographs, alone and in combination with a genome-wide polygenic risk score for coronary heart disease (CHD PRS) would have independent prognostic value over traditional CV risk assessment in patients without prior CV disease. RESEARCH DESIGN AND METHODS Patients in the Genetics of Diabetes Audit and Research Tayside Scotland (GoDARTS) study were linked to retinal photographs, prescriptions, and outcomes. Retinal photographs were analyzed using VAMPIRE (Vascular Assessment and Measurement Platform for Images of the Retina) software, a semiautomated artificial intelligence platform, to compute arterial and venous fractal dimension, tortuosity, and diameter. CHD PRS was derived from previously published data. Multivariable Cox regression was used to evaluate the association between retinal vascular parameters and major adverse CV events (MACE) at 10 years compared with the pooled cohort equations (PCE) risk score. RESULTS Among 5,152 individuals included in the study, a MACE occurred in 1,017 individuals. Reduced arterial fractal dimension and diameter and increased venous tortuosity each independently predicted MACE. A risk score combining these parameters significantly predicted MACE after adjustment for age, sex, PCE, and the CHD PRS (hazard ratio 1.11 per SD increase, 95% CI 1.04-1.18, P = 0.002) with similar accuracy to PCE (area under the curve [AUC] 0.663 vs. 0.658, P = 0.33). A model incorporating retinal parameters and PRS improved MACE prediction compared with PCE (AUC 0.686 vs. 0.658, P < 0.001). CONCLUSIONS Retinal parameters alone and in combination with genome-wide CHD PRS have independent and incremental prognostic value compared with traditional CV risk assessment in type 2 diabetes.
Collapse
Affiliation(s)
- Ify R Mordi
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, U.K
| | - Emanuele Trucco
- VAMPIRE Project, Computing, School of Science and Engineering, University of Dundee, Dundee, U.K
| | - Mohammad Ghouse Syed
- VAMPIRE Project, Computing, School of Science and Engineering, University of Dundee, Dundee, U.K
| | - Tom MacGillivray
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, U.K
| | - Adi Nar
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Yu Huang
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Gittu George
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Stephen Hogg
- VAMPIRE Project, Computing, School of Science and Engineering, University of Dundee, Dundee, U.K
| | - Venkatesan Radha
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Vijayaraghavan Prathiba
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Colin N A Palmer
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Ewan R Pearson
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| | - Chim C Lang
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, U.K
| | - Alex S F Doney
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, U.K
| |
Collapse
|
4
|
Liew G, Gopinath B, White AJ, Burlutsky G, Yin Wong T, Mitchell P. Retinal Vasculature Fractal and Stroke Mortality. Stroke 2021; 52:1276-1282. [PMID: 33611944 DOI: 10.1161/strokeaha.120.031886] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND AND PURPOSE Fractal analysis is a method of quantifying the branching complexity and density of the retinal vessels. We hypothesized that reduced fractal dimension, signifying a sparser vascular network, is associated with long-term stroke mortality. METHODS We examined the relationship of fractal dimension and stroke mortality in a prospective, population-based cohort of 3143 participants aged 49 years or older. Fractal dimension was measured from digitized fundus photographs using a computer-automated method. Stroke mortality was documented from Australian National Death Index records. We defined reduced fractal dimension as values in the lowest quartile. RESULTS Over 12 years, there were 132 (4.2%) stroke-related deaths. Stroke-related mortality was higher in participants with reduced fractal dimension (lowest quartile) compared with the highest quartile (7.7% versus 1.3%, P<0.01). After controlling for age, gender, smoking, blood pressure, history of stroke, and other factors, participants with reduced fractal dimension had higher stroke mortality (hazard ratio, 2.42 [95% CI, 1.15-5.07], lowest versus highest quartile). When modeled as a continuous variable, reduced fractal dimension was associated with increased stroke mortality (multivariable-adjusted hazard ratio, 1.26 [95% CI, 1.06-1.51], per SD decrease). CONCLUSIONS Reduced retinal vascular fractal dimension is independently associated with 12-year stroke mortality. Reduced fractal dimension may indicate cerebral tissue hypoxia and increased risk of stroke.
Collapse
Affiliation(s)
- Gerald Liew
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.)
| | - Bamini Gopinath
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.)
| | - Andrew J White
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.)
| | - George Burlutsky
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.)
| | - Tien Yin Wong
- Duke-NUS Medical School, National University of Singapore (T.Y.W.).,Singapore Eye Research Institute, Singapore National Eye Center (T.Y.W.)
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.)
| |
Collapse
|
5
|
Kopylova VS, Boronovskiy SE, Nartsissov YR. Application of Fractal Analysis to Evaluate the Rat Brain Arterial System. Biophysics (Nagoya-shi) 2020. [DOI: 10.1134/s0006350920030100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
|
6
|
Nadal J, Deverdun J, Champfleur NM, Carriere I, Creuzot‐Garcher C, Delcourt C, Chiquet C, Kawasaki R, Villain M, Ritchie K, Le Bars E, Daien V. Retinal vascular fractal dimension and cerebral blood flow, a pilot study. Acta Ophthalmol 2020; 98:e63-e71. [PMID: 31545560 DOI: 10.1111/aos.14232] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 08/07/2019] [Indexed: 01/12/2023]
Abstract
PURPOSE Ocular and brain microcirculation share embryological and histological similarities. The retinal vascular fractal dimension (FD) is a marker of retinal vascular complexity of the vascular tree. The purpose of this study was to explore the relationship between cerebral blood flow (CBF), retinal vascular FD and other retinal vascular markers. METHODS Cross-sectional analysis comprising 26 individuals ≥65 years old from the Cognitive REServe and Clinical ENDOphenotype (CRESCENDO) cohort of relative healthy older adults. Retinal vascular FD was measured from fundus photographs by using the semi-automated Singapore Eye Vessel Assessment (SIVA) software. CBF was estimated using a 2D pulsed ASL MRI sequence. Associations between blood flow and retinal parameters were analysed using linear regression models adjusted for age and sex. RESULTS Cerebral blood flow was positively associated with venular FD (R2 = 0.32, p = 0.03). This association was stronger in the anterior versus posterior brain territories (R2 = 0.35 [p = 0.001] versus R2 = 0.16 [p = 0.07], respectively). Global CBF was correlated with arteriolar branching angle (R2 = 0.23, p = 0.01) and tortuosity (R2 = 0.20, p = 0.02). Global CBF was not correlated with other SIVA parameters. CONCLUSIONS Retinal venular complexity summarized by the FD was associated with cerebral blood flow as well as retinal arteriolar tortuosity and branching angle. Larger prospective clinical studies are needed to confirm these results.
Collapse
Affiliation(s)
- Jeremy Nadal
- Department of Ophthalmology Nîmes University Hospital Nîmes Cedex 9 France
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Jeremy Deverdun
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Nicolas Menjot Champfleur
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Department of Neuroradiology Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Laboratoire Charles Coulomb University of Montpellier Montpellier France
- Department of Medical Imaging Caremeau University Hospital Center Nimes France
| | - Isabelle Carriere
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
| | - Catherine Creuzot‐Garcher
- Department of Ophthalmology Dijon University Hospital Dijon France
- Eye and Nutrition Research Group CSGA UMR 1324 INRA 6265 CNRS Burgundy University Dijon France
| | - Cécile Delcourt
- Bordeaux Population Health Research Center Team LEHA Inserm UMR 1219 Univ. Bordeaux Bordeaux France
| | - Christophe Chiquet
- Grenoble Alpes University Grenoble France
- Department of Ophthalmology University Hospital Grenoble France
| | - Ryo Kawasaki
- Department of Public Health Faculty of Medicine Yamagata University Yamagata Japan
- Osaka University Graduate School of Medicine Osaka Japan
| | - Max Villain
- Department of Ophthalmology Gui De Chauliac Hospital Montpellier France
| | - Karen Ritchie
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
- Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Emmanuelle Le Bars
- I2FH Institut d'Imagerie Fonctionnelle Humaine Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
- Department of Neuroradiology Montpellier University Hospital Center Gui de Chauliac Hospital Montpellier France
| | - Vincent Daien
- Neuropsychiatry: Epidemiological and Clinical Research INSERM Université de Montpellier Montpellier France
- Department of Ophthalmology Gui De Chauliac Hospital Montpellier France
- The Save Sight Institute Sydney Medical School The University of Sydney Sydney NSW Australia
| |
Collapse
|
7
|
Wang R, Li P, Pan Q, Li JKJ, Kuebler WM, Pries AR, Ning G. Investigation into the diversity in the fractal dimensions of arterioles and venules in a microvascular network – A quantitative analysis. Microvasc Res 2019; 125:103882. [DOI: 10.1016/j.mvr.2019.103882] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 03/19/2019] [Accepted: 05/05/2019] [Indexed: 01/14/2023]
|
8
|
Csincsik L, MacGillivray TJ, Flynn E, Pellegrini E, Papanastasiou G, Barzegar-Befroei N, Csutak A, Bird AC, Ritchie CW, Peto T, Lengyel I. Peripheral Retinal Imaging Biomarkers for Alzheimer's Disease: A Pilot Study. Ophthalmic Res 2018; 59:182-192. [PMID: 29621759 DOI: 10.1159/000487053] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 01/19/2018] [Indexed: 12/16/2022]
Abstract
PURPOSE To examine whether ultra-widefield (UWF) retinal imaging can identify biomarkers for Alzheimer's disease (AD) and its progression. METHODS Images were taken using a UWF scanning laser ophthalmoscope (Optos P200C AF) to determine phenotypic variations in 59 patients with AD and 48 healthy controls at baseline (BL). All living participants were invited for a follow-up (FU) after 2 years and imaged again (if still able to participate). All participants had blood taken for genotyping at BL. Images were graded for the prevalence of age-related macular degeneration-like pathologies and retinal vascular parameters. Comparison between AD patients and controls was made using the Student t test and the χ2 test. RESULTS Analysis at BL revealed a significantly higher prevalence of a hard drusen phenotype in the periphery of AD patients (14/55; 25.4%) compared to controls (2/48; 4.2%) [χ2 = 9.9, df = 4, p = 0.04]. A markedly increased drusen number was observed at the 2-year FU in patients with AD compared to controls. There was a significant increase in venular width gradient at BL (zone C: 8.425 × 10-3 ± 2.865 × 10-3 vs. 6.375 × 10-3 ± 1.532 × 10-3, p = 0.008; entire image: 8.235 × 10-3 ± 2.839 × 10-3 vs. 6.050 × 10-3 ± 1.414 × 10-3, p = 0.004) and a significant decrease in arterial fractal dimension in AD at BL (entire image: 1.250 ± 0.086 vs. 1.304 ± 0.089, p = 0.049) with a trend for both at FU. CONCLUSIONS UWF retinal imaging revealed a significant association between AD and peripheral hard drusen formation and changes to the vasculature beyond the posterior pole, at BL and after clinical progression over 2 years, suggesting that monitoring pathological changes in the peripheral retina might become a valuable tool in AD monitoring.
Collapse
Affiliation(s)
- Lajos Csincsik
- School of Medicine, Dentistry and Biomedical Science, Queen's University, Belfast, United Kingdom.,UCL Institute of Ophthalmology, London, United Kingdom
| | - Thomas J MacGillivray
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Erin Flynn
- School of Medicine, Dentistry and Biomedical Science, Queen's University, Belfast, United Kingdom.,The George Washington University, School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Enrico Pellegrini
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,OPTOS plc, Dunfermline, United Kingdom
| | | | | | - Adrienne Csutak
- UCL Institute of Ophthalmology, London, United Kingdom.,Department of Ophthalmology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Alan C Bird
- UCL Institute of Ophthalmology, London, United Kingdom
| | - Craig W Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom
| | - Tunde Peto
- School of Medicine, Dentistry and Biomedical Science, Queen's University, Belfast, United Kingdom.,NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL, London, United Kingdom
| | - Imre Lengyel
- School of Medicine, Dentistry and Biomedical Science, Queen's University, Belfast, United Kingdom.,UCL Institute of Ophthalmology, London, United Kingdom
| |
Collapse
|
9
|
Tai ELM, Kueh YC, Wan Hitam WH, Wong TY, Shatriah I. Comparison of retinal vascular geometry in obese and non-obese children. PLoS One 2018; 13:e0191434. [PMID: 29389952 PMCID: PMC5794084 DOI: 10.1371/journal.pone.0191434] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 01/04/2018] [Indexed: 11/19/2022] Open
Abstract
Purpose Childhood obesity is associated with adult cardiometabolic disease. We postulate that the underlying microvascular dysfunction begins in childhood. We thus aimed to compare retinal vascular parameters between obese and non-obese children. Methods This was a cross-sectional study involving 166 children aged 6 to 12 years old in Malaysia. Ocular examination, biometry, retinal photography, blood pressure and body mass index measurement were performed. Participants were divided into two groups; obese and non-obese. Retinal vascular parameters were measured using validated software. Results Mean age was 9.58 years. Approximately 51.2% were obese. Obese children had significantly narrower retinal arteriolar caliber (F(1,159) = 6.862, p = 0.010), lower arteriovenous ratio (F(1,159) = 17.412, p < 0.001), higher venular fractal dimension (F(1,159) = 4.313, p = 0.039) and higher venular curvature tortuosity (F(1,158) = 5.166, p = 0.024) than non-obese children, after adjustment for age, gender, blood pressure and axial length. Conclusions Obese children have abnormal retinal vascular geometry. These findings suggest that childhood obesity is characterized by early microvascular abnormalities that precede development of overt disease. Further research is warranted to determine if these parameters represent viable biomarkers for risk stratification in obesity.
Collapse
Affiliation(s)
- Evelyn Li Min Tai
- Department of Ophthalmology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- * E-mail: (ELMT); (YCK); (IS)
| | - Yee Cheng Kueh
- Unit of Biostatistics & Research Methodology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- * E-mail: (ELMT); (YCK); (IS)
| | - Wan-Hazabbah Wan Hitam
- Department of Ophthalmology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- DUKE-NUS Medical School, Singapore, Singapore
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Ismail Shatriah
- Department of Ophthalmology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
- * E-mail: (ELMT); (YCK); (IS)
| |
Collapse
|