Haidong Zou’s research while affiliated with Tongji University and other places

The aim of this study is to examine the association between insufficient sleep and astigmatism, as well as its related refractive components, in preschool children. Preschool children aged 3 to 6 from two kindergartens in Shanghai participated in this study. Non-cycloplegic refraction was assessed using an auto-refractor (Topcon KR-800, Tokyo, Japan), and biometric parameters were measured with the IOL Master 700 (Carl Zeiss, Jena, Germany). Sleep duration and lifestyle information were collected via questionnaires. Total Astigmatism (TA), Anterior Corneal Astigmatism (ACA), Internal Astigmatism (IA), and Compensation Factor (CF) were calculated from vector components J0 and J45. A total of 451 preschool children (55% males, mean age 5.20 ± 0.84 years) were included, with 5.8% experiencing astigmatism. Insufficient sleep was associated with higher astigmatism prevalence (OR = 2.932, 95% CI: 1.121 to 7.669) and increased cylinder power (β = 0.155, 95% CI: 0.024 to 0.286). Total sleep duration showed an inverse association with cylinder power (β = -0.049, 95% CI: -0.092 to -0.007). Insufficient sleep correlated significantly with J0t (β = 0.123, 95% CI: 0.032—0.215) and J0i (β = 0.170, 95% CI: 0.072—0.269), and CF0 (Adjusted OR = 1.731, 95% CI: 1.005 – 2.981). Sleep duration was also significantly associated with J0t, J0i and CF0. Insufficient sleep is significantly associated with astigmatism in preschool children, primarily through internal astigmatism. These findings emphasize the need for vision screening in children with insufficient sleep to identify and address refractive issues early. What is Known: • Refractive errors, including astigmatism, are common in preschool children and influenced by both environmental and genetic factors. • Insufficient sleep is significantly associated with refractive errors, particularly myopia, and is known to affect visual health and ocular conditions. What is New: • Insufficient sleep is significantly associated with astigmatism in preschool children. • This association may primarily stem from internal compensation mechanisms.

Purpose To explore the longitudinal changes in retinal and choroidal thickness and their relation with the onset of type 1 diabetes mellitus (T1DM) in children. Methods Thirty‐eight children with T1DM and 71 healthy controls were included in this 3‐year longitudinal study. Ophthalmic and systemic examinations were conducted on each participant. Retinal and choroidal thickness were measured by optical coherence tomography. Baseline values and changes in retinal and choroidal thickness were compared with DR onset, diabetics without DR and healthy controls. Logistic regression was used to explore the association with DR development. Results Six children developed DR during the follow‐up period (15.79%) and five of them developed microaneurysms in the parapapillary temporal quadrant. During follow‐up, greater retinal thickening occurred in subjects with DR compared with diabetic participants without DR (p = 0.03) and healthy controls (p = 0.02) in the parapapillary outer temporal section. Compared with the control group, greater retinal thickening was observed in DR subjects in the averaged parapapillary outer ring (p = 0.01), the macular inner temporal section (p = 0.03) and several macular sections (all p < 0.05). Additionally, greater retinal thickening was observed in several parapapillary regions in non‐DR T1DM participants compared with healthy controls (all p < 0.05). The thickness change in the outer temporal parapapillary section was independently associated with DR onset (OR = 1.33, 95% CI 1.01–1.73, p = 0.04). Conclusion Children with T1DM showed a significant or a trend of increasing retinal and choroidal thickness compared with normal controls over a 3‐year period. The change of retinal thickness in the parapapillary outer temporal section was associated with the development of DR in children with T1DM, suggesting that it could serve as a biomarker for predicting and screening DR in these individuals.

Diabetic retinopathy (DR) is a leading cause of blindness worldwide and a common complication of diabetes. As two different imaging tools for DR grading, color fundus photography (CFP) and infrared fundus photography (IFP) are highly-correlated and complementary in clinical applications. To the best of our knowledge, this is the first study that explores a novel multi-modal deep learning framework to fuse the information from CFP and IFP towards more accurate DR grading. Specifically, we construct a dual-stream architecture Cross-Fundus Transformer (CFT) to fuse the ViT-based features of two fundus image modalities. In particular, a meticulously engineered Cross-Fundus Attention (CFA) module is introduced to capture the correspondence between CFP and IFP images. Moreover, we adopt both the single-modality and multi-modality supervisions to maximize the overall performance for DR grading. Extensive experiments on a clinical dataset consisting of 1,713 pairs of multi-modal fundus images demonstrate the superiority of our proposed method. Our code will be released for public access.

The gut microbiota has emerged as an independent risk factor for diabetes and its complications. This research aimed to delve into the intricate relationship between the gut microbiome and diabetic retinopathy (DR) through a dual approach of cross-sectional and prospective cohort studies. In our cross-sectional study cross-sectional investigation involving ninety-nine individuals with diabetes, distinct microbial signatures associated with DR were identified. Specifically, gut microbiome profiling revealed decreased levels of Butyricicoccus and Ruminococcus torques group, alongside upregulated methanogenesis pathways among DR patients. These individuals concurrently exhibited lower concentrations of short-chain fatty acids in their plasma. Leveraging machine learning models, including random forest classifiers, we constructed a panel of microbial genera and genes that robustly differentiated DR cases. Importantly, these genera also demonstrated significant correlations with dietary patterns and the molecular profiles of peripheral blood mononuclear cells. Building upon these findings, our prospective cohort study followed 62 diabetes patients over a 2-year period to assess the predictive value of these microbial markers. The results underlined the panel’s efficacy in predicting DR incidence. By stratifying patients based on the predictive genera and metabolites identified in the cross-sectional phase, we established significant associations between reduced levels of Butyricicoccus, plasma acetate, and increased susceptibility to DR. This investigation not only deepens our understanding of how gut microbiota influences DR but also underscores the potential of microbial markers as early indicators of disease risk. These insights hold promise for developing targeted interventions aimed at mitigating the impact of diabetic complications. Key points • Microbial signatures are differed in diabetic patients with and without retinopathy • DR-related taxa are linked to dietary habits and transcriptomic profiles • Lower abundances of Butyricicoccus and acetate were prospectively associated with DR

(1) Objective: This study investigated the relationship between long-term particulate matter (PM2.5) exposure and optic disc parameters—vertical cup-to-disc ratio (vCDR), vertical optic disc diameter (vDD), and vertical optic cup diameter (vCD)—in patients with type 2 diabetes mellitus (T2DM). (2) Methods: A cross-sectional analysis was conducted using data from 65,750 T2DM patients in the 2017–2018 Shanghai Cohort Study of Diabetic Eye Disease (SCODE). Optic disc parameters were extracted from fundus images, and PM2.5 exposure was estimated using a random forest model incorporating satellite and meteorological data. Multivariate linear regression models were applied, adjusting for confounders including age, gender, body mass index, blood pressure, glucose, time of T2DM duration, smoking, drinking, and physical exercise. (3) Results: A 10 μg/m³ increase in PM2.5 exposure was associated with significant reductions in vCDR (−0.008), vDD (−42.547 μm), and vCD (−30.517 μm) (all p-values < 0.001). These associations persisted after sensitivity analyses and adjustments for other pollutants like O3 and NO2. (4) Conclusions: Long-term PM2.5 exposure is associated with detrimental changes in optic disc parameters in patients with T2DM, suggesting possible optic nerve atrophy. Considering the close relationship between the optic nerve and the central nervous system, these findings may also reflect broader neurodegenerative processes.

Aim To investigate the associations between insulin use and diabetic retinopathy (DR), and retinal vascular parameters in type 2 diabetes (T2DM). Methods A total of 6,374 T2DM patients, consisting of 2,231 patients receiving insulin alone and 4143 patients without any hypoglycemic medication, were included in cross-sectional analyses. Among those without DR at baseline, 791 patients were followed for three years in longitudinal analyses. Fundus photography was taken to diagnose DR and calculate central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), arteriolar-to-venular ratio (AVR), and vascular tortuosity. Inverse probability treatment-weighted analyses were performed. Results After adjusting for gender, age, body mass index, blood pressure, blood glucose, T2DM duration, smoking, and alcohol use, insulin users showed a higher risk of DR (odds ratio (OR) = 2.27, 95% confidence interval (95%CI) = 2.08–2.48, P < 0.001), larger CRVE (β = 3.92, 95%CI = 2.46–5.37, P < 0.001), smaller AVR (β=-0.0083, 95%CI=-0.0121- -0.0046, P < 0.001), and larger vascular curvature (β = 0.19, 95%CI = 0.05–0.33, P = 0.008). After 3 years, insulin users had a higher risk of developing DR (OR = 1.94; 95% CI = 1.37–2.73, P = 0.002), and greater change in CRVE (β = 3.92, 95%CI = 0.96–6.88, P = 0.009). Conclusions The impact of insulin on the retinal microvasculature provides support for linking insulin to the increased risk of DR, as well as cardiovascular events in T2DM.

12‐hydroxyeicosatetraenoic acid (12‐HETE), a major metabolite of arachidonic acid, is converted by 12/15‐lipoxygenase and implicated in diabetic retinopathy (DR). Our previous study demonstrated a positive correlation between 12‐HETE and the prevalence of DR. However, reasons for the increased production of 12‐HETE are unclear, and the underlying mechanisms through which 12‐HETE promotes DR are unknown. This study aimed to elucidate the correlation between 12‐HETE and DR onset, investigate potential mechanisms through which 12‐HETE promotes DR, and seek explanations for the increased production of 12‐HETE in diabetes. We conducted a prospective cohort study, which revealed that higher serum 12‐HETE levels could induce DR. Additionally, G protein‐coupled receptor 31 (GPR31), a high‐affinity receptor for 12‐HETE, was expressed in human retinal microvascular endothelial cells (HRMECs). 12‐HETE/GPR31‐mediated HRMEC inflammation occurred via the p38 MAPK pathway. 12‐HETE levels were significantly higher in the retina of mice with high‐fat diet (HFD)‐ and streptozotocin (STZ)‐induced diabetes than in those with only STZ‐induced diabetes and healthy controls. They were positively correlated with the levels of inflammatory cytokines in the retina, indicating that HFD could induce increased 12‐HETE synthesis in patients with diabetes in addition to hyperglycemia. Conclusively, 12‐HETE is a potential risk factor for DR. The 12‐HETE/GPR31 axis plays a crucial role in HRMEC dysfunction and could be a novel target for DR prevention and control. Nevertheless, further research is warranted to provide comprehensive insights into the complex underlying mechanisms of 12‐HETE in DR.