A5042003426- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Ophthalmology and Visual Impairment Studies
- Retinal Development and Disorders
- Retinal and Macular Surgery
- Ocular Diseases and Behçet’s Syndrome
- Nutritional Studies and Diet
- Corneal surgery and disorders
- Connexins and lens biology
- Intraocular Surgery and Lenses
- Neurological Disease Mechanisms and Treatments
- Renal and Vascular Pathologies
- Neuroscience and Neural Engineering
- Chronic Kidney Disease and Diabetes
- Retinopathy of Prematurity Studies
- Dementia and Cognitive Impairment Research
- Acute Ischemic Stroke Management
- Diet and metabolism studies
- Cerebral Venous Sinus Thrombosis
- Health, Environment, Cognitive Aging
- Cerebrovascular and Carotid Artery Diseases
- Flavonoids in Medical Research
- Metabolomics and Mass Spectrometry Studies
Key Laboratory of Guangdong Province
2023-2025
Guangdong Academy of Medical Sciences
2018-2025
Southern Medical University
2020-2025
Guangdong Provincial People's Hospital
2019-2025
South China University of Technology
2019-2025
Sun Yat-sen University
2011-2022
Huizhou Central People's Hospital
2022
Jiangxi University of Traditional Chinese Medicine
2022
Dalian University of Technology
2020-2021
Massachusetts Eye and Ear Infirmary
2007-2020
Glaucoma is the most prevalent neurodegenerative disease and a leading cause of blindness worldwide. The mechanisms causing glaucomatous neurodegeneration are not fully understood. Here we show, using mice deficient in T and/or B cells adoptive cell transfer, that transient elevation intraocular pressure (IOP) sufficient to induce T-cell infiltration into retina. This leads prolonged phase retinal ganglion degeneration persists after IOP returns normal level. Heat shock proteins (HSP)...
Aim To develop a deep learning (DL) model that predicts age from fundus images (retinal age) and to investigate the association between retinal gap predicted by DL minus chronological mortality risk. Methods A total of 80 169 taken 46 969 participants in UK Biobank with reasonable quality were included this study. Of these, 19 200 11 052 without prior medical history at baseline examination used train validate for prediction using fivefold cross-validation. 35 913 remaining 917 had available...
Aims To investigate the function and corresponding neurovascular structures in patients with diabetes without clinically detectable retinopathy. Methods Sixty-six type 2 retinopathy (NDR) 62 healthy controls were recruited. The 16 32 Tds flicker electroretinography (ERG) was performed using a mydriasis-free, full-field ERG recording device (RETeval). vessel density (VD) of superficial capillary plexus (SCP) deep (DCP), FD300 ganglion cell complex (GCC) thickness macula quantified optical...
Diabetic retinopathy is the leading cause of blindness in working age individuals developed countries. However, role inflammation pathogenesis DR not completely understood. This an observational clinical research enrolling 80 type II diabetic patients who had undergone cataract surgeries either with or without DR. All cases were further categorized by proliferative stages retinal neovascularization and lengths history. The levels inflammatory cytokines including IL-1 β , IL-6, IL-8, IL-17,...
retinal age derived from fundus images using deep learning has been verified as a novel biomarker of ageing. We aim to investigate the association between gap (retinal age-chronological age) and incident Parkinson's disease (PD).a (DL) model trained on 19,200 11,052 chronic disease-free participants was used predict age. Retinal generated by DL for remaining 35,834 free PD at baseline assessment. Cox proportional hazards regression models were utilised PD. Multivariable logistic applied...
Plasma metabolomic profile is disturbed in dementia patients, but previous studies have discordant conclusions.
Abstract Background The aim of this study is to investigate the association retinal age gap with risk incident stroke and its predictive value for stroke. Methods A total 80,169 fundus images from 46,969 participants in UK Biobank cohort met image quality standard. deep learning model was constructed based on 19,200 11,052 disease-free at baseline prediction. Retinal (retinal predicted minus chronological age) generated remaining 35,917 participants. Stroke events were determined by data...
BackgroundThe aim of the present study was to estimate incidence, years lived with disability (YLDs), and cause eye injury at global, regional, national levels by age sex based on Global Burden Diseases, Injuries, Risk Factors Study (GBD) 2019.MethodsThis is a retrospective demographic analysis aggregated data. GBD 2019 included burden worldwide its temporal spatial characteristics in past three decades. The Bayesian meta-regression tool DisMod-MR 2.1 were used analyse estimates linear...
Abstract Age-related macular degeneration (AMD) is the leading cause of central vision impairment among elderly. Effective and accurate AMD screening tools are urgently needed. Indocyanine green angiography (ICGA) a well-established technique for detecting chorioretinal diseases, but its invasive nature potential risks impede routine clinical application. Here, we innovatively developed deep-learning model capable generating realistic ICGA images from color fundus photography (CF) using...
Background: To assess the burden and change in incidence, death, disability-adjusted life years (DALYs) for all-cause-specific injuries among children adolescents 204 countries territories between 1990 2019. Materials Methods: Data were extracted from Global Burden of Disease, Injury, Risk Factor Study 2019 (GBD 2019). Global, regional, country-level age-standardized rate (per 100,000) incidence (ASRI), mortality (ASRM), DALYs (ASRD) with 95% uncertainty interval (95% UI) estimated by age,...
Background: The asymptomatic onset and extremely high mortality rate of aortic aneurysm (AA) highlight the urgency early detection timely intervention. alteration retinal vascular features (RVFs) can reflect systemic properties, be widely used as biomarker for cardiovascular disease risk prediction. Therefore, we aimed to investigate associations RVFs with AA its progression. Methods: In this prospective population-based cohort study, participants eligible fundus images without a history at...
Importance Whether neural or vascular defects occur first in the early onset of diabetic retinopathy (DR) is undetermined. Background To investigate microcirculation and microstructure differences optic nerve head (ONH) between eyes without clinically evident healthy controls using optical coherence tomography angiography (OCTA). Design Cross‐sectional observational study. Participants Sixty 60 patients with type 2 diabetes age‐matched were included this Methods All participants underwent...
Background and objectives The association of diabetic retinopathy (DR) macular oedema (DME) with renal function in southern Chinese patients diabetes is poorly understood. So we aimed to study the correlation between stage DR DME estimated glomerular filtration rate (eGFR) urine albumin-to-creatinine ratio (UACR), explore systemic risk factors for DME. Design setting This single-centre retrospective observational was conducted from December 2017 November 2018. Participants 413 type 2...
Retinal parameters could reflect systemic vascular changes. With the advances of deep learning technology, we have recently developed an algorithm to predict retinal age based on fundus images, which be a novel biomarker for aging and mortality. Therefore, aim investigate associations gap with arterial stiffness index incident cardiovascular disease (CVD).A model was trained 19 200 images 11 052 participants without any medical history at baseline age. (retinal predicted minus chronological...
<h3>Importance</h3> Retinopathy of prematurity (ROP) is the leading cause childhood blindness worldwide. Prediction ROP before onset holds great promise for reducing risk blindness. <h3>Objective</h3> To develop and validate a deep learning (DL) system to predict occurrence severity 45 weeks' postmenstrual age. <h3>Design, Setting, Participants</h3> This retrospective prognostic study included 7033 retinal photographs 725 infants in training set 763 90 external validation set, along with 46...
<h3>Rationale & Objective</h3> The incidence of kidney failure is known to increase with age. We have previously developed and validated the use retinal age based on fundus images as a biomarker aging. However, association not clear. investigated gap (the difference between chronological age) future risk failure. <h3>Study Design</h3> Prospective cohort study. <h3>Setting Participants</h3> 11,052 UK Biobank study participants without any reported disease for characterizing in deep learning...
It is unclear regarding associations of dietary patterns with a wide range chronic diseases and which score more predictive major diseases. Using the UK Biobank, we examine four individual healthy scores risk 48 Higher Alternate Mediterranean Diet associated lower 32 (all 8 cardiometabolic disorders, 3 out 10 types cancers, 7 psychological/neurological 5 6 digestive 9 14 other diseases). Healthy Eating Index-2010 Healthful Plant-based Index are inversely 29 23 diseases, respectively. A...
It is unclear how metabolomic age associated with the risk of a wide range chronic diseases. Our analysis included 110,692 participants (training: n = 27,673; testing: validating: 55,346) aged 39-71 years at baseline (2006-2010) from UK Biobank. Incident diseases were identified using inpatient records, or death registers until January 2021. Predicted was trained and tested based on 168 metabolomics. Metabolomic linked to 50 in validation dataset. The median follow-up duration for individual...