IntroductionTo evaluate the complications, efficacy of medical and surgical treatment, and outcome in patients with necrotizing scleritis and peripheral ulcerative keratitis associated with Wegener’s granulomatosis.MethodsThe authors reviewed a series of seven patients with Wegener’s granulomatosis treated in the Corneal Department of Zhongshan Ophthalmic Center and the Department of Ophthalmology of Kashgar First People’s Hospital. A detailed chart review was performed to determine demographic characteristics, ocular presentation, biopsy and laboratory testing results, treatment, and final outcome.ResultsWegener’s granulomatosis was indicated by ocular and/or systemic findings; biopsy and immunohistochemistry results supported the diagnosis. Patients with necrotizing scleritis and/or peripheral ulcerative keratitis received cytotoxic immunosuppressive therapy; this, in conjunction with surgical treatment, halted the relentlessly progressive inflammation and preserved the integrity of the globe in 78% of eyes. Best-Corrected Visual Acuity remained stable in four of nine eyes, was improved in two of nine eyes, and decreased in three of nine eyes (secondary to cataract and/or stromal scarring). Although one patient died, treatment with corticosteroids and cytotoxic agents dramatically improved outcomes in these patients.ConclusionNecrotizing scleritis and peripheral ulcerative keratitis often have a poor visual outcome, and may herald an underlying systemic vasculitis. Wegener’s granulomatosis, with the associated necrotizing scleritis and peripheral ulcerative keratitis, should be managed with aggressive immunosuppression to avoid the associated morbidity and mortality. Thus, the ophthalmologist may play a significant role in its early diagnosis and treatment.

Background Coronavirus disease-19 (COVID-19) continues to be a major public health challenge globally. The identification of SARS-CoV-2-derived T cell epitopes is of critical importance for peptide vaccines or diagnostic tools of COVID-19. Methods In this study, a number of SARS-CoV-2-derived HLA-I binding peptides were predicted by NetMHCpan-4.1 and selected by Popcover to achieve pancoverage of the Chinese population. The top 5 ranked peptides derived from each protein of SARS-CoV-2 were then evaluated using PBMCs from unexposed individuals (negative for SARS-CoV-2 IgG). Results Seven epitopes derived from 4 SARS-CoV-2 proteins were identified. Interestingly, most (5 out of 7) of the SARS-CoV-2-derived peptides with predicted affinities for HLA-I molecules were identified as HLA-II-restricted epitopes and induced CD4+ T cell-dependent responses. These results complete missing pieces of pre-existing SARS-CoV-2-specific T cells and suggest that pre-existing T cells targeting all SARS-CoV-2-encoded proteins can be discovered in unexposed populations. Conclusions In summary, in the current study, we present an alternative and effective strategy for the identification of T cell epitopes of SARS-CoV-2 in healthy subjects, which may indicate an important role in the development of peptide vaccines for COVID-19.

Background To investigate the application effect of artificial intelligence (AI)-based fundus screening system in real-world clinical environment. Methods A total of 637 color fundus images were included in the analysis of the application of the AI-based fundus screening system in the clinical environment and 20,355 images were analyzed in the population screening. Results The AI-based fundus screening system demonstrated superior diagnostic effectiveness for diabetic retinopathy (DR), retinal vein occlusion (RVO) and pathological myopia (PM) according to gold standard referral. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of three fundus abnormalities were greater (all > 80%) than those for age-related macular degeneration (ARMD), referable glaucoma and other abnormalities. The percentages of different diagnostic conditions were similar in both the clinical environment and the population screening. Conclusions In a real-world setting, our AI-based fundus screening system could detect 7 conditions, with better performance for DR, RVO and PM. Testing in the clinical environment and through population screening demonstrated the clinical utility of our AI-based fundus screening system in the early detection of ocular fundus abnormalities and the prevention of blindness.

Objective: To provide a normative palpebral database for the Uygur subjects to determine norms that may contribute to the diagnosis and prognosis of eyelid diseases. Method: The cross-sectional study was conducted from March to May 2021 at the First People’s Hospital of Kashi, China, and comprised Uygur subjects of either gender aged 18-70 years. The slant, height and width of the palpebral fissure, vertical brow-upper lid distance, intercanthal distance, pupillary distance, brow height, crease height and levator function were measured. Data was analysed using SPSS 22. Results: Of the 335 subjects having mean age 41.41±14.53 years, 165(49.3%) were males with mean age 41.08±14.23 years and 170(50.7%) were females with mean age 41.74±14.85 years. There were 107(31.9%) subjects aged 18-30 years, 115(34.3%) aged 31-50 years and 113(33.7%) aged 51-70 years. Mean palpebral fissure width and margin reflex distance of the palpebrae were significantly different in terms of gender (p<0.05). Age was also a significant factor on several counts (p<0.05). Conclusions: Anthropometric measurements of eyelid in Uygur subjects indicated certain peculiarities. Key Words: Eyelid, Palpebral morphology, Measurement, Epicanthus, Blepharoplasty.