Search

Sulforaphane (SFN) is an organosulfur compound categorized as an isothiocyanate (ITC), primarily extracted from cruciferous vegetables like broccoli and cabbage. The molecular formula of sulforaphane (SFN) is C6H11NOS2. SFN is generated by the hydrolysis of glucoraphanin (GRP) through the enzyme myrosinase, showing notable properties including anti‐diabetic, anti‐inflammatory, antimicrobial, anti‐angiogenic, and anticancer attributes. Ongoing clinical trials are investigating its potential in diseases such as cancer, neurodegenerative diseases, diabetes‐related complications, chronic kidney disease, cardiovascular disease, and liver diseases. Several animal carcinogenesis models and cell culture models have shown it to be a very effective chemopreventive agent, and the protective effects of SFN in ophthalmic diseases have been linked to multiple mechanisms. In murine models of diabetic retinopathy and age‐related macular degeneration, SFN delays retinal photoreceptor cell degeneration through the Nrf2 antioxidative pathway, NF‐κB pathway, AMPK pathway, and Txnip/mTOR pathway. In rabbit models of keratoconus and cataract, SFN has been shown to protect corneal and lens epithelial cells from oxidative stress injury by activating the Keap1‐Nrf2‐ARE pathway and the Nrf‐2/HO‐1 antioxidant pathway. Oral delivery or intraperitoneal injection at varying concentrations are the primary strategies for SFN intake in current preclinical studies. Challenges remain in the application of SFN in eye disorders due to its weak solubility in water and limited bioavailability because of the presence of blood–ocular barrier systems. This review comprehensively outlines recent research on SFN, elucidates its mechanisms of action, and discusses potential therapeutic benefits for eye disorders such as age‐related macular degeneration (AMD), diabetic retinopathy (DR), cataracts, and other ophthalmic diseases, while also indicating directions for future clinical research to achieve efficient SFN treatment for ophthalmic diseases. [ABSTRACT FROM AUTHOR]

Abstract Sulforaphane (SFN) is an organosulfur compound categorized as an isothiocyanate (ITC), primarily extracted from cruciferous vegetables like broccoli and cabbage. The molecular formula of sulforaphane (SFN) is C6H11NOS2. SFN is generated by the hydrolysis of glucoraphanin (GRP) through the enzyme myrosinase, showing notable properties including anti‐diabetic, anti‐inflammatory, antimicrobial, anti‐angiogenic, and anticancer attributes. Ongoing clinical trials are investigating its potential in diseases such as cancer, neurodegenerative diseases, diabetes‐related complications, chronic kidney disease, cardiovascular disease, and liver diseases. Several animal carcinogenesis models and cell culture models have shown it to be a very effective chemopreventive agent, and the protective effects of SFN in ophthalmic diseases have been linked to multiple mechanisms. In murine models of diabetic retinopathy and age‐related macular degeneration, SFN delays retinal photoreceptor cell degeneration through the Nrf2 antioxidative pathway, NF‐κB pathway, AMPK pathway, and Txnip/mTOR pathway. In rabbit models of keratoconus and cataract, SFN has been shown to protect corneal and lens epithelial cells from oxidative stress injury by activating the Keap1‐Nrf2‐ARE pathway and the Nrf‐2/HO‐1 antioxidant pathway. Oral delivery or intraperitoneal injection at varying concentrations are the primary strategies for SFN intake in current preclinical studies. Challenges remain in the application of SFN in eye disorders due to its weak solubility in water and limited bioavailability because of the presence of blood–ocular barrier systems. This review comprehensively outlines recent research on SFN, elucidates its mechanisms of action, and discusses potential therapeutic benefits for eye disorders such as age‐related macular degeneration (AMD), diabetic retinopathy (DR), cataracts, and other ophthalmic diseases, while also indicating directions for future clinical research to achieve efficient SFN treatment for ophthalmic diseases.

AIM: To summarize the application of deep learning in detecting ophthalmic disease with ultrawide-field fundus images and analyze the advantages, limitations, and possible solutions common to all tasks. METHODS: We searched three academic databases, including PubMed, Web of Science, and Ovid, with the date of August 2022. We matched and screened according to the target keywords and publication year and retrieved a total of 4358 research papers according to the keywords, of which 23 studies were retrieved on applying deep learning in diagnosing ophthalmic disease with ultrawide-field images. RESULTS: Deep learning in ultrawide-field images can detect various ophthalmic diseases and achieve great performance, including diabetic retinopathy, glaucoma, age-related macular degeneration, retinal vein occlusions, retinal detachment, and other peripheral retinal diseases. Compared to fundus images, the ultrawide-field fundus scanning laser ophthalmoscopy enables the capture of the ocular fundus up to 200° in a single exposure, which can observe more areas of the retina. CONCLUSION: The combination of ultrawide-field fundus images and artificial intelligence will achieve great performance in diagnosing multiple ophthalmic diseases in the future.

With the rising prevalence of retinal diseases, identifying eye diseases at an early stage is crucial for effective treatment and prevention of irreversible blindness. But Ophthalmologists face challenges in detecting subtle symptoms that may indicate the presence of a disease before it progresses to an advanced stage Among these challenges, eye diseases can present with a wide range of symptoms, and some conditions may share similar signs. To solve these difficulties, in the research proposed YOLOV8(You Only Look Once) Lightweight Self-Attention model to classify seven different retinal diseases. In this regard, the dataset that have been used in this study contains 5787 images from three different sources (Roboflow, Kaggle and Medical Clinics) were included in the seven classes of Glaucoma, Age-related Macular Degeneration (AMD), Cataract, Diabetic retinopathy (DR), and Retinal Vein Occlusion, which comprises of Branch Retinal Vein Occlusion (BRVO) and Central Retinal Occlusion (CRVO) and normal. As a results, the model has proven excellent performance in its classification ability. Boasting an average classification accuracy of 94% across the seven disease with precsition 96.2%, recall 96.6%and f1 score was 96.3% At the time of training it was 0.6 Houres(H). When compaired with Resnet50, VGG16 results underscore the model's superior performance in precision and computational efficiency compared. The algorithm's evaluation reveals its superiority when compared to earlier pertinent research, making it a trustworthy method for classifying retinal illnesses. [ABSTRACT FROM AUTHOR]

IgG4-related disease (IgG4-RD) is an immune-mediated systemic fibroinflammatory condition characterized by serum IgG4 elevation and IgG4-positive plasma cell infiltration into various organs. It generally occurs in elderly males. Pediatric cases have been reported, albeit rarely, accordingly lack of recognition of such cases could delay therapeutic intervention leading to poorer outcomes. The present review is a descriptive review of all published case reports, cohort studies, and reviews of pediatric IgG4-RD listed in PubMed. Characteristics of pediatric IgG4-RD were clarified, including sex, organ involvement, serological and histological findings, and treatment. We assessed how many published cases met current classification and comprehensive diagnostic criteria. The characteristics of pediatricIgG4-RD differed from adult IgG4-RD in terms of sex and involved organs. There was no clear male dominance in numbers of cases, and surface organ involvement such as ophthalmic diseases were more common in the pediatric IgG4-RD. Organ involvement tended to be indolent and unilateral, causing difficulty in definitively diagnosing pediatric IgG4-RD. Only about 20% of published cases met IgG4-RD classification or comprehensive diagnostic criteria. Physicians should be careful in diagnosing pediatric IgG4-RD after excluding mimickers. International collaboration toward high-quality evidence to support diagnosis and treatment of pediatric IgG4-RD is advised. [ABSTRACT FROM AUTHOR]

The continuous pandemic coronavirus disease 2019(COVID-19)caused by severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)is a serious threat to human life and health because of high infectious pathogenicity, and it also has posed a new challenge to the current medical model. Many literatures have shown that these changes range from the more common ocular surface diseases such as inflammation of the cornea, conjunctiva, and sclera, to the relatively rare paracentral acute middle maculopathy and acute macular neuroretinopathy. For patients with ocular symptoms as the first or accompanying symptoms of SARS-CoV-2 infection, how to identify the correlation between ocular manifestations and SARS-CoV-2 infection is undoubtedly a serious challenge for ophthalmologists. In this review, the ocular pathology caused by both SARS-CoV-2 infection and vaccination was discussed, covering pathological changes in the ocular surface, uvea, retina and macula, and cranial nerves.

Copyright of Chinese Medical Equipment Journal is the property of Chinese Medical Equipment Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background : Anecdotally, the COVID-19 pandemic has resulted in more severe cases of eye disease, decreased medication compliance/availability, and decreased treatment volume due to the lockdown. Aims: We aim to quantify and bring together a variety of international perspectives from ophthalmologists of different subspecialties to characterize the global impact of COVID-19 on managing various ophthalmic disease. Methods: An online survey of 10 questions was conducted among ophthalmologists using a specialized survey program. Results: Fifty-two ophthalmologists were successfully contacted. Survey respondents include ophthalmologists from USA, Canada, Korea, Mexico, and New Zealand. Based on the results of our survey, 1 year after the pandemic, ophthalmic disease severity has worsened as well as a decrease in examination and medication compliance. Conclusions: Ophthalmologists across the world have reported a general increase in disease severity and decrease in medication and examination compliance 1 year after the beginning of COVID-19. [ABSTRACT FROM AUTHOR]

The paper describes the design and technical parameters of a medical thermoelectric device developed for diagnosing and monitoring the ophthalmic diseases. The main elements of the device are a specially designed thermoelectric heat flux sensor and a thermocouple temperature sensor connected to a data acquisition unit. The sensor is a thermoelectric micro-module that converts the heat flux into an electric voltage, which is recorded by the measuring channel of the data acquisition unit. The device allows high-precision measurements of both heat flux and temperature from the ocular surface. The paper contains examples of clinical piloting of the device.

Circular RNA(circRNA)is a single-stranded covalently closed RNA molecule produced by reverse splicing, which is an evolutionarily conserved and stable transcript, and widely exists in various eukaryotic cells. CircRNA is more stable and conserved than linear transcripts because of the absence of 5'cap and 3'polyadenylation tail in circRNA. A variety of bioactive processes are regulated by circRNA, such as cell differentiation, proliferation, angiogenesis and cell apoptosis. CircRNAs were shown to be key regulators of various diseases, especially cancers, neurodegenerative and cardiovascular. Recently, with the rapid development of RNA high-throughput sequencing technology, accumulating evidence shows that there are multiple differentially expressed circRNAs in ocular tissues and they play important roles in initiation, progression, and prognosis of diverse ocular diseases, such as glaucoma, cataract, retinopathy, ocular tumors and ocular immunologic diseases. In this article, the research on the relationship between circRNA and ophthalmic diseases in the recent years is briefly reviewed, and the purpose is to provide reference for its clinical treatment and prognosis.

With the rapid development of molecular biology technologies such as whole-genome testing in the past decade, non-coding RNA has been deeply explored. Circular RNA(circRNA)gradually becomes a hot topic in recent years, which plays an important role in the occurrence and development of a variety of diseases, and relevant studies have been carried out in ophthalmological diseases. This article will review the mechanism, basic research, and clinical findings of circRNA in various ophthalmic diseases, and briefly discuss the potential clinical significance of circRNA in ophthalmic diseases.

Background: Artificial intelligence (AI) has been used in the research of ophthalmic disease diagnosis, and it may have an impact on medical and ophthalmic practice in the future. This study explores the general application and research frontier of artificial intelligence in ophthalmic disease detection. Methods: Citation data were downloaded from the Web of Science Core Collection database to evaluate the extent of the application of Artificial intelligence in ophthalmic disease diagnosis in publications from 1 January 2012, to 31 December 2021. This information was analyzed using CiteSpace.5.8. R3 and Vosviewer. Results: A total of 1,498 publications from 95 areas were examined, of which the United States was determined to be the most influential country in this research field. The largest cluster labeled "Brownian motion" was used prior to the application of AI for ophthalmic diagnosis from 2007 to 2017, and was an active topic during this period. The burst keywords in the period from 2020 to 2021 were system, disease, and model. Conclusion: The focus of artificial intelligence research in ophthalmic disease diagnosis has transitioned from the development of AI algorithms and the analysis of abnormal eye physiological structure to the investigation of more mature ophthalmic disease diagnosis systems. However, there is a need for further studies in ophthalmology and computer engineering. [ABSTRACT FROM AUTHOR]

Ophthalmic diseases are disorders that affect the eyes. Hundreds of causal genes and biological pathways have been reported to be closely correlated with ophthalmic diseases. However, these information are scattered across various resources, which has hindered a thorough and deep understanding of ophthalmic diseases. In the present work, we proposed the Human Ophthalmic Diseases Database (HODD), which currently deposits 730 ophthalmic diseases and 653 related genes and is available at http://bio-bigdata.cn/HODD/. The disease-related information and genes related to ophthalmic diseases were collected from the several well-known databases. To comprehensively understand the ophthalmic diseases, the basic information was provided for each disease, including disease description, related genes, gene location, ocular and extraocular effect of the disease, protein–protein interaction and disease-associated pathways. All these data were reorganized and made accessible through multiple entrances. We hope that HODD will facilitate studies on ophthalmic diseases. The workflow for the construction of the HODD (Human Ophthalmic Diseases Database, http://bio-bigdata.cn/HODD/) database. [ABSTRACT FROM AUTHOR]

Background: Progressive and irreversible vision loss has been shown to place a patient at risk of mental health problems such as anxiety. However, the reported prevalence of anxiety symptoms and disorders among eye disease patients vary across studies. Thus, this study aims to clarify the estimated prevalence of anxiety symptoms and disorders among ophthalmic disease patients. Methods: Relevant studies on the prevalence of anxiety symptoms and disorders among eye disease patients were collected through international databases, PubMed, Scopus, and Web of Science. A random-effects model was used to determine the pooled prevalence of anxiety symptoms and disorders among ophthalmic disease patients. Results: The 95 included studies yielded a pooled prevalence of 31.2% patients with anxiety symptoms and 19.0% with anxiety disorders among subjects with ophthalmic disease. Pediatric patients were more anxious (58.6%) than adults (29%). Anxiety symptoms were most prevalent in uveitis (53.5%), followed by dry eye disease (DED, 37.2%), retinitis pigmentosa (RP, 36.5%), diabetic retinopathy (DR, 31.3%), glaucoma (30.7%), myopia (24.7%), age-related macular degeneration (AMD, 21.6%), and cataract (21.2%) patients. Anxiety disorders were most prevalent in thyroid eye disease (TED, 28.9%), followed by glaucoma (22.2%) and DED (11.4%). When compared with healthy controls, there was a twofold increase on the prevalence of anxiety symptoms (OR = 1.912, 95% CI 1.463–2.5, p < 0.001) and anxiety disorders (OR = 2.281, 95% CI 1.168–4.454, p = 0.016). Conclusion: Anxiety symptoms and disorders are common problems associated with ophthalmic disease patients. Thus, comprehensive and appropriate treatments are necessary for treating anxiety symptoms and disorders among ophthalmic disease patients. [ABSTRACT FROM AUTHOR]

Photoacoustic imaging has many advantages in ophthalmic application including high-resolution, requirement of no exogenous contrast agent, and noninvasive acquisition of both morphologic and functional information. However, due to the limited depth of focus of the imaging method and large curvature of the eye, it remains a challenge to obtain high quality vascular image of entire anterior segment. Here, we proposed a new method to achieve high quality imaging of anterior segment. The new method applied a curvature imaging strategy based on only one time scanning, and hence is time efficient and more suitable for ophthalmic imaging compared to previously reported methods using similar strategy. A custom-built photoacoustic imaging system was adapted for ophthalmic application and a customized image processing method was developed to quantitatively analyze both morphologic and functional information in vasculature of the anterior segment. The results showed that the new method improved the image quality of anterior segment significantly compared to that of conventional high resolution photoacoustic imaging. More importantly, we applied the new method to study ophthalmic disease in an in vivo mouse model for the first time. The results verified the suitability and advantages of the new method for imaging the entire anterior segment and the numerous potentials of applying it in ophthalmic imaging in future.

Background: Artificial intelligence (AI) has been used in the research of ophthalmic disease diagnosis, and it may have an impact on medical and ophthalmic practice in the future. This study explores the general application and research frontier of artificial intelligence in ophthalmic disease detection.Methods: Citation data were downloaded from the Web of Science Core Collection database to evaluate the extent of the application of Artificial intelligence in ophthalmic disease diagnosis in publications from 1 January 2012, to 31 December 2021. This information was analyzed using CiteSpace.5.8. R3 and Vosviewer.Results: A total of 1,498 publications from 95 areas were examined, of which the United States was determined to be the most influential country in this research field. The largest cluster labeled “Brownian motion” was used prior to the application of AI for ophthalmic diagnosis from 2007 to 2017, and was an active topic during this period. The burst keywords in the period from 2020 to 2021 were system, disease, and model.Conclusion: The focus of artificial intelligence research in ophthalmic disease diagnosis has transitioned from the development of AI algorithms and the analysis of abnormal eye physiological structure to the investigation of more mature ophthalmic disease diagnosis systems. However, there is a need for further studies in ophthalmology and computer engineering.

Injectable hydrogels based on biopolymers, fabricated utilizing diverse chemical and physical methodologies, exhibit exceptional physical, chemical, and biological properties. They have multifaceted applications encompassing wound healing, tissue regeneration, and across diverse scientific realms. This review critically evaluates their largely uncharted potential in ophthalmology, elucidating their diverse applications across an array of ocular diseases. These conditions include glaucoma, cataracts, corneal disorders (spanning from age-related degeneration to trauma, infections, and underlying chronic illnesses), retina-associated ailments (such as diabetic retinopathy, retinitis pigmentosa, and age-related macular degeneration (AMD)), eyelid abnormalities, and uveal melanoma (UM). This study provides a thorough analysis of applications of injectable hydrogels based on biopolymers across these ocular disorders. Injectable hydrogels based on biopolymers can be customized to have specific physical, chemical, and biological properties that make them suitable as drug delivery vehicles, tissue scaffolds, and sealants in the eye. For example, they can be engineered to have optimum viscosity to be injected intravitreally and sustain drug release to treat retinal diseases. Their porous structure and biocompatibility promote cellular infiltration to regenerate diseased corneal tissue. By accentuating their indispensable role in ocular disease treatment, this review strives to present innovative and targeted approaches in this domain, thereby advancing ocular therapeutics. [Display omitted] [ABSTRACT FROM AUTHOR]

Introduction: Nepal is a developing country where most of the population does not have access to proper health care services and on top of that eye care services do not reach the entire population. This study aimed to determine the pattern of ocular morbidity in patients attending the ophthalmic OPD of Rapti Academy of Health Sciences. Materials and Methods: This was a prospective cross-sectional study conducted in the Department of Ophthalmology of Rapti Academy of Health Science, Dang. The study period was Poush 2077 to Chaitra 2077. All the patients visiting the OPD of the Ophthalmology department with an ocular problem were included in the study. Results: A total of 1000 patients were examined during the study period. The patient's ages below 1 year were excluded so a total of 970 samples was selected. In which 625 (64.4%) were female and 345 (35.6%) were male. Most patients 92.9% were from Dang followed by Rolpa 4.1%, Rukum 1.4%, Pyuthan 0.9%, and Salyan 0.6%. Patients were examined from all age groups except for 1 year which was excluded. Out of the total patients, a maximum number of patients were female and the maximum number of patients were in the age group of 21- 30 years and followed by more than or equal to 60 years age group. Conclusions: This study will help in obtaining epidemiology of Ocular disease for proper planning and management in the hospital.

The outbreak of COVID-19 was followed by a rapid spread leading to its declaration as a pandemic in a short time. The transmission through aerosols and direct contact with infected individuals forced the application of strict safety protocols and rearrangements in the activities of different healthcare systems around the world. Ophthalmology healthcare workers are highly exposed to viral infection and therefore adjustments were made to ensure the safety of patients and health providers by performing only urgent treatments. The suspension and delay in regular follow-up visits and the lower number of patients recorded during the lockdown period due to restrictions and patient anxiety led to severe consequences in the clinical and anatomical outcome affecting the overall prognosis. The current review aims to summarize the effect of the lockdown policies in the number and profile of patients that attended the ophthalmology clinics from different countries and analyze the effect of the pandemic in terms of vision and patient functionality. The effects of the pandemic included a reduction in the number of appointments, cancellations of non-emergency conditions and delays of surgical interventions. These had a negative effect in terms of visual outcomes.

To assess the prevalence of retinopathy and its association with systemic morbidity and laboratory indices of coagulation and inflammatory dysfunction in severe COVID-19. Retrospective, observational cohort study. Adult patients hospitalized with severe COVID-19 who underwent ophthalmic examination from April to July 2020 were reviewed. Retinopathy was defined as one of the following: 1) Retinal hemorrhage; 2) Cotton wool spots; 3) Retinal vascular occlusion. We analyzed medical comorbidities, sequential organ failure assessment (SOFA) scores, clinical outcomes, and laboratory values for their association with retinopathy. Thirty-seven patients with severe COVID-19 were reviewed, the majority of whom were female (n = 23, 62%), Black (n = 26, 69%), and admitted to the intensive care unit (n = 35, 95%). Fourteen patients had retinopathy (38%) with retinal hemorrhage in 7 (19%), cotton wool spots in 8 (22%), and a branch retinal artery occlusion in 1 (3%) patient. Patients with retinopathy had higher SOFA scores than those without retinopathy (8.0 vs. 5.3, p =.03), higher rates of respiratory failure requiring invasive mechanical ventilation and shock requiring vasopressors (p <.01). Peak D-dimer levels were 28,971 ng/mL in patients with retinopathy compared to 12,575 ng/mL in those without retinopathy (p =.03). Peak CRP was higher in patients with cotton wool spots versus those without cotton wool spots (354 mg/dL vs. 268 mg/dL, p =.03). Multivariate logistic regression modeling showed an increased risk of retinopathy with higher peak D-dimers (aOR 1.32, 95% CI 1.01–1.73, p =.04) and male sex (aOR 9.6, 95% CI 1.2–75.5, p =.04). Retinopathy in severe COVID-19 was associated with greater systemic disease morbidity involving multiple organs. Given its association with coagulopathy and inflammation, retinopathy may offer insight into disease pathogenesis in patients with severe COVID-19. [ABSTRACT FROM AUTHOR]

Long non-coding RNAs(LncRNAs)refer to RNAs that are longer than 200 nucleotides and cannot encode a protein. With the application of next-generation sequencing technology, whole-genome analysis shows that LncRNAs can regulate gene expression in immune response, epigenetic, gene transcription and post-transcriptional levels, thereby participating in the maintenance of cell proliferation and apoptosis, tissue homeostasis and other physiological processes. LncRNAs have been shown to involve in initiation and development of a variety of human diseases in recent years. This article reviews the research progress of LncRNAs in common diseases of ophthalmology, in order to early diagnosis and treatment of related ophthalmic diseases.

Buddleja officinalis Maxim. (B. officinalis), commonly known as "Menghua" "Yangerduo" is a widely recognized traditional herbal medicine in China, Korea, and Vietnam. For thousands of years, it has been used to treat dry eye disease, conjunctivitis, keratitis, eye ulcers, eye pain, cough, asthma, hemoptysis, and other medical conditions. This review article aims to provide a concise summary of the botany, ethnopharmacology, phytochemistry, pharmacology, medicinal potential, and application of B. officinalis in treating ophthalmic diseases and critically evaluates the existing literature to establish a scientific basis for its reasonable utilization and further investigation. The information reviewed in this study was collected from various electronic resources, including the Web of Science, PubMed, and Google Scholar. To date, 80 structurally diverse compounds have been isolated and characterized from B. officinalis , primarily flavonoids, phenylethanoids, triterpenoids, and monoterpenes. Extracts and compounds derived from B. officinalis have been reported to possess broad pharmacological effects including anti-dry eye disease, anti-inflammation, anti-oxidation, anti-diabetes, anti-obesity, improving osteoporosis and treatment of skin diseases. This review provides a reference for the future studies on of B. officinalis. As a natural medicinal plant, B. officinalis is worthy of further development in botany, ethnopharmacology, phytochemistry, pharmacology, and therapeutic potential for ophthalmic diseases. Although some components have demonstrated multiple pharmacological activities, their mechanisms of action remain unclear. Further studies on the underlying molecular basis and mechanism of action are warranted. [Display omitted] • B. officinalis is a common natural medicinal plant with multiple therapeutic effects. • The phytochemical compositions of B. officinalis have various biological activities. • B. officinalis has great potential to treat dry eye diseases. [ABSTRACT FROM AUTHOR]

Exosomes, small membrane vesicles with a diameter of 30-100 nm, transport lipids, proteins, DNA, and RNA. Exosomes originate from endocytic vessels and are processed and released through exocytosis. They can be taken up by target cells and mediate intercellular communication. Initially, exosomes were thought to be waste products excreted by cells. However, with more research, they have been found to play important roles in physiological and pathological processes. Therefore, they are promising biomarkers for the diagnosis and treatment of a variety of disease conditions, including fundus diseases, ocular surface diseases, retinal diseases, tumors, ocular trauma, and light damage. In this review, we discuss the history, biogenesis, release, isolation, characterization, and biological functions of exosomes, as well as their future application prospects in ophthalmic diseases. [ABSTRACT FROM AUTHOR]

Aim: To summarize the application of deep learning in detecting ophthalmic disease with ultrawide-field fundus images and analyze the advantages, limitations, and possible solutions common to all tasks., Methods: We searched three academic databases, including PubMed, Web of Science, and Ovid, with the date of August 2022. We matched and screened according to the target keywords and publication year and retrieved a total of 4358 research papers according to the keywords, of which 23 studies were retrieved on applying deep learning in diagnosing ophthalmic disease with ultrawide-field images., Results: Deep learning in ultrawide-field images can detect various ophthalmic diseases and achieve great performance, including diabetic retinopathy, glaucoma, age-related macular degeneration, retinal vein occlusions, retinal detachment, and other peripheral retinal diseases. Compared to fundus images, the ultrawide-field fundus scanning laser ophthalmoscopy enables the capture of the ocular fundus up to 200° in a single exposure, which can observe more areas of the retina., Conclusion: The combination of ultrawide-field fundus images and artificial intelligence will achieve great performance in diagnosing multiple ophthalmic diseases in the future., (International Journal of Ophthalmology Press.)

Objective Endoplasmic reticulum (ER) stress is involved in the pathogenesis of various ophthalmic diseases, and ER stress-mediated degradation systems play an important role in maintaining ER homeostasis during ER stress. The purpose of this review is to explore the potential relationship between them and to find their equilibrium sites. Design This review illustrates the important role of reasonable regulation of the protein degradation system in ER stress-mediated ophthalmic diseases. There were 128 articles chosen for review in this study, and the keywords used for article research are ER stress, autophagy, UPS, ophthalmic disease, and ocular. Data sources The data are from Web of Science, PubMed, with no language restrictions from inception until 2019 Jul. Results The ubiquitin proteasome system (UPS) and autophagy are important degradation systems in ER stress. They can restore ER homeostasis, but if ER stress cannot be relieved in time, cell death may occur. However, they are not independent of each other, and the relationship between them is complementary. Therefore, we propose that ER stability can be achieved by adjusting the balance between them. Conclusion The degradation system of ER stress, UPS and autophagy are interrelated. Because an imbalance between the UPS and autophagy can cause cell death, regulating that balance may suppress ER stress and protect cells against pathological stress damage.

A series of poly(2-hydroxyethyl methacrylate) (pHEMA) hydrogels containing cross-linked β -cyclodextrin-hyaluronan (β -CD-crHA), with tear protein adsorption resistance and sustained drug delivery, were developed as contact lens materials for eye diseases. β -CD-HA was synthesized from aminated β -CD and HA and then crosslinked within pHEMA hydrogel using polyethylenimine as a crosslinker. The synthesized β -CD-HA was characterized by 1H NMR analysis, and β -CD-crHA immobilized in pHEMA hydrogel was confirmed by FT-IR, SEM, and AFM analyses. The incorporation of β -CD-crHA significantly improved the surface hydrophilicity, water uptake ability, oxygen permeability, and flexibility of pHEMA hydrogel, but did not compromise light transmission. pHEMA/ β -CD-crHA hydrogels not only decreased the tear protein adsorption because of the electrostatically mutual repulsion and the improved hydrophilicity, leading to the reduced adhesion of Staphylococcus aureus on the hydrogel surface, but also enhanced the encapsulation capacity and the sustainable delivery of diclofenac due to the formation of inclusion complexes between β -CD and drugs. All the hydrogels were nontoxic to 3T3 mouse fibroblasts by in vitro cell viability analysis. Among these hydrogels with different β -CD-crHA contents, pHEMA/ β -CD-crHA 10 hydrogel showed the lowest water contact angle of 52 °, the highest water content of 65%, the largest Dk value of 36.4 barrer, and the optimal modulus of 1.8 MPa, as well as a good light transmission of over 90%. The in vivo conjunctivitis treatment of rabbits for 72 h indicated that drug-loaded pHEMA/ β -CD-crHA 10 hydrogel presented a better therapeutic effect than both one dose administration of drug solution per day and drug-loaded pHEMA hydrogel. Thus, pHEMA/ β -CD-crHA 10 hydrogel is a promising contact lens material for ophthalmic diseases. Topical eye drops are currently the most popular treatment for ophthalmic diseases, but frequent dosing is necessary to acquire the desirable clinical effect at the expense of systemic side-effects. Drug-loaded contact lenses, as an alternative of eye drops, possess many good performances and show potential applications. However, the sustained drug delivery and the tear protein adsorption resistance are still challenging for contact lenses. Hence, we developed a novel pHEMA/ β -CD-crHA hydrogel by incorporating β -CD-crHA crosslinked network into pHEMA hydrogel. Besides the improvements in surface hydrophilicity, water uptake ability, oxygen permeability, and flexibility, pHEMA/ β -CD-crHA hydrogel also reduced the adsorption of tear proteins and the adhesion of Staphylococcus aureus , enhanced the drug encapsulation, and prolonged the drug delivery, with better effect in the conjunctivitis treatment of rabbits. Thus, pHEMA/ β -CD-crHA hydrogel is a potential contact lens material for treating ophthalmic diseases. Image, graphical abstract [ABSTRACT FROM AUTHOR]