BACKGROUND AND OBJECTIVES

The global pandemic caused by Coronavirus Disease 2019 (COVID-19) has affected millions, with growing evidence of the potential role of ocular tissues in viral transmission. At the time of writing, local data regarding the phenomenon was limited. This study investigated external ocular manifestations in patients with COVID-19 at a referral center in the Philippines, examined correlations between demographics, systemic manifestations, and laboratory results with ocular manifestations, and determined their timing relative to systemic symptoms.

METHODS

This single-center, descriptive cross-sectional study was carried out from December 8 to 18, 2020 at the adult COVID-19 wards of the Philippine General Hospital involving 72 participants. Data collection involved relevant clinical history taking and performing gross eye examination. The prevalence of ocular manifestations was described with 95% confidence intervals. Correlations between ocular manifestations and quantitative variables were analyzed with point-biserial correlation, and associations with qualitative variables were tested using chi-square or Fisher’s exact tests.

RESULTS

Among participants, 31.9% presented with ocular manifestations with foreign body sensation as the most prevalent ocular symptom (11.1%) and conjunctival hyperemia as the most prevalent ocular finding (19.4%). The median age of patients with ocular manifestations was 41 years old with a higher prevalence in the male population (73.9%, CI=95%, p=0.001). No significant correlation was observed between presence of external ocular manifestations and the different systemic and ocular co-morbidities as well as with COVID-19 clinical classification. Among those who experienced symptoms, majority (29.2%) of the patients experienced systemic symptoms prior to the onset of ocular symptoms. Ocular complaints may present as the sole manifestation (13.9%). Several laboratory parameters were measured and only temperature and AST levels showed a low positive correlation with the presence of ocular manifestations. 

CONCLUSION

Ocular manifestations occur in roughly one third of patients with COVID-19 based on this study population. With some individuals presenting with ocular signs or symptoms as the initial and sole manifestation, healthcare practitioners must exercise caution and remain vigilant in managing patients who present as such. At the time of writing, this is the first local study investigating the different external ocular manifestations in patients with COVID-19. There is a need to pursue more robust studies and conduct more local investigations which will guide both ophthalmologists and other practitioners in strengthening existing guidelines regarding precautionary practices, clinical diagnosis, and management of COVID-19 patients.

Human ; Sars-cov-2 ; Covid-19 ; Philippines ; Adult ; Association ; Classification ; Collection ; Confidence Intervals ; Coronavirus ; Cross-sectional Studies ; Data Collection ; Demography ; Diagnosis ; Disease ; Exercise ; Eye ; Foreign Bodies ; History ; Hospitals ; Hospitals, General ; Hyperemia ; Laboratories ; Male ; Morbidity ; Ophthalmologists ; Pandemics ; Patients ; Population ; Prevalence ; Referral And Consultation ; Role ; Sensation ; Temperature ; Time ; Tissues ; Volition ; World Health Organization ; Writing

OBJECTIVE

To describe in detail the research agenda-setting process of the Department of Health National Specialty Center for Eye Care with the guidance of the National Institute of Health (NIH) - Department of Clinical Epidemiology.

METHODS

A research agenda technical working group (TWG) was organized to spearhead the research agenda setting, in collaboration and guidance of the NIH. After identifying relevant internal and external stakeholders, the TWG drafted a contextual map that served as an overarching framework. Research topics were obtained from the stakeholders and the TWG collated, reviewed and summarized prior to ranking them systematically. Each topic was prioritized through a weighted ranking system evaluating its feasibility, public health benefit, and resource/cost requirements. A final en banc session including the stakeholders was held to formalize the approval of the research agenda. An infographic was developed to serve as a visual guide for consultants and trainees in initiating research.

RESULTS

The TWG tallied 85 unique research topics from both the internal and external stakeholders. These topics encompassed a broad range of areas, including epidemiology, surgical, and medical management, health systems research, economic evaluations of interventions, and occupational/environmental factors.

CONCLUSION

The 2024-2027 research agenda of the Department of Health National Specialty Center for Eye Care was crafted, with the guidance of the NIH Department of Clinical Epidemiology. The goal was to improve the center's research output by aligning it with stakeholders thereby serving as a research benchmarking tool for the local ophthalmology community

Human ; Epidemiology ; Eye ; Health ; Research

Transcranial temporal interference stimulation (tTIS) is a novel non-invasive neuromodulation technique with the potential to precisely target deep brain structures. This study explores the neural and behavioral effects of tTIS on the superior colliculus (SC), a region involved in eye movement control, in mice. Computational modeling revealed that tTIS delivers more focused stimulation to the SC than traditional transcranial alternating current stimulation. In vivo experiments, including Ca²⁺ signal recordings and eye movement tracking, showed that tTIS effectively modulates SC neural activity and induces eye movements. A significant correlation was found between stimulation frequency and saccade frequency, suggesting direct tTIS-induced modulation of SC activity. These results demonstrate the precision of tTIS in targeting deep brain regions and regulating eye movements, highlighting its potential for neuroscientific research and therapeutic applications.
Animals ; Superior Colliculi/physiology* ; Transcranial Direct Current Stimulation/methods* ; Eye Movements/physiology* ; Male ; Mice ; Mice, Inbred C57BL

To explore the common irritant components in different base sources of Polygonati Rhizoma(PR). A rabbit eye irritation experiment was conducted to compare the irritant effects of raw products of Polygonatum kingianum, P. officinale, and P. multiflorum. The irritant effects of different solvent extraction parts and needle crystals of PR were compared, and the irritant components were screened. The morphology and structure of the purified needle crystal of PR were observed by microscope and scanning electron microscope and characterized by X-ray diffraction. Rabbit eye irritation and mouse abdominal inflammation model were used to evaluate rabbit eye irritation scores, inflammatory mediators, inflammatory factors levels in the peritoneal exudate of mice, with the peritoneal pathological section used as indicators. The inflammatory effect of needle crystals of PR was studied, and the content of calcium oxalate in three kinds of PR was determined by HPLC. The common protein in three kinds of PR was screened and compared by double enzymatic hydrolysis in solution combined with mass spectrometry. The results showed that three kinds of PR raw products had certain irritant effects on rabbit eyes, among which P. kingianum had the strongest irritant effect. There were no obvious irritant effects in the different solvent extraction parts of P. kingianum. Compared with the blank group, the needle crystal of PR had a significant irritant effect on rabbit eyes, and the inflammatory mediators and inflammatory factors in the peritoneal exudate were significantly increased(P<0.05) in a dose-dependent manner. Meanwhile, the peritoneal tissue of mice was damaged with significant inflammatory cell infiltration after intraperitoneal injection of needle crystal, indicating that needle crystal had an inflammatory effect. Microscope and scanning electron microscope observations showed that the needle crystals of PR were slender, with a length of about 100-200 μm and sharp ends. X-ray diffraction analysis showed that the needle crystals of PR were calcium oxalate monohydrate crystals. The results of HPLC showed that the content of calcium oxalate in P. kingianum was the highest among the three kinds of PR. It was speculated that the content of needle crystal in P. kingianum was higher than that in P. officinale and P. multiflorum, which was consistent with the results of the rabbit eye irritation experiment. The results of mass spectrometry showed that ribosome inactivating protein and mannose/sialic acid binding lectin were related to inflammation and cell metabolism in all three kinds of PR. There was no obvious irritant effect in different solvent extracts of PR. The calcium oxalate needle crystal contained was the main irritant component of PR, and three kinds of PR contained common ribosome inactivating protein and mannose/sialic acid binding lectin, which may be related to the inflammatory irritant effect of PR.
Animals ; Rabbits ; Mice ; Polygonatum/chemistry* ; Drugs, Chinese Herbal/toxicity* ; Rhizome/chemistry* ; Male ; Eye/drug effects* ; Female ; Humans

This study investigated the therapeutic effects of Yiguanjian on dry eye in rats and its mechanisms involving the T helper cell 17(Th17)/regulatory T cell(Treg) balance. The rat model of dry eye was established by administrating 0.2% benzalkonium chloride solution in eye drops. After successful modeling, the rats were treated with Yiguanjian for 4 consecutive weeks. The Schirmer test was carried out to assess the lacrimal gland function, corneal fluorescence staining to detect corneal injury, hematoxylin-eosin staining to observe corneal histopathology, enzyme-linked immunosorbent assay to measure serum levels of interleukin(IL)-6, IL-8, IL-17A, IL-21, and tumor necrosis factor-α(TNF-α), RT-qPCR to analyze mRNA levels of retinoic acid receptor-related orphan receptor gamma t(RORγt) and forkhead box protein p3(Foxp3) in the corneal tissue, immunofluorescence double staining to evaluate RORγt and Foxp3 expression in the lacrimal gland tissue, and Western blot to quantify the protein levels of signal transducer and activator of transcription 3(STAT3), phosphorylated STAT3(p-STAT3), Janus kinase 2(Jak2), phosphorylated Jak2(p-Jak2), RORγt, and Foxp3 in the corneal tissue. The results demonstrated that Yiguanjian increased tear secretion(P<0.01), alleviated corneal damage and pathological changes, and lowered the serum levels of IL-6, IL-8, IL-17A, IL-21, and TNF-α(P<0.05) in model rats. Additionally, Yiguanjian decreased the ratio of RORγt to Foxp3 in the corneal and lacrimal gland tissue(P<0.01), downregulated the protein levels of STAT3, Jak2, and RORγt(P<0.05), upregulated the protein level of Foxp3(P<0.05), and inhibited phosphorylation of STAT3 and Jak2(P<0.01). These findings indicate that Yiguanjian ameliorates ocular surface dysfunction in dry eye rats by restoring Th17/Treg balance in the corneal and lacrimal gland tissue and suppressing systemic inflammatory cytokine release, thus mitigating ocular surface inflammation.
Animals ; Rats ; T-Lymphocytes, Regulatory/immunology* ; Drugs, Chinese Herbal/administration & dosage* ; Th17 Cells/immunology* ; Male ; Rats, Sprague-Dawley ; Dry Eye Syndromes/genetics* ; Nuclear Receptor Subfamily 1, Group F, Member 3/immunology* ; Lacrimal Apparatus/immunology* ; Humans ; STAT3 Transcription Factor/immunology*

Existing emotion recognition research is typically limited to static laboratory settings and has not fully handle the changes in emotional states in dynamic scenarios. To address this problem, this paper proposes a method for dynamic continuous emotion recognition based on electroencephalography (EEG) and eye movement signals. Firstly, an experimental paradigm was designed to cover six dynamic emotion transition scenarios including happy to calm, calm to happy, sad to calm, calm to sad, nervous to calm, and calm to nervous. EEG and eye movement data were collected simultaneously from 20 subjects to fill the gap in current multimodal dynamic continuous emotion datasets. In the valence-arousal two-dimensional space, emotion ratings for stimulus videos were performed every five seconds on a scale of 1 to 9, and dynamic continuous emotion labels were normalized. Subsequently, frequency band features were extracted from the preprocessed EEG and eye movement data. A cascade feature fusion approach was used to effectively combine EEG and eye movement features, generating an information-rich multimodal feature vector. This feature vector was input into four regression models including support vector regression with radial basis function kernel, decision tree, random forest, and K-nearest neighbors, to develop the dynamic continuous emotion recognition model. The results showed that the proposed method achieved the lowest mean square error for valence and arousal across the six dynamic continuous emotions. This approach can accurately recognize various emotion transitions in dynamic situations, offering higher accuracy and robustness compared to using either EEG or eye movement signals alone, making it well-suited for practical applications.
Humans ; Electroencephalography/methods* ; Emotions/physiology* ; Eye Movements/physiology* ; Signal Processing, Computer-Assisted ; Support Vector Machine ; Algorithms

Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.
Humans ; Emotions/physiology* ; Electroencephalography ; Neural Networks, Computer ; Eye Movements ; Perception

Macrophages are the crucial immune cells integral to host defense and the regulation of homeostasis, exhibiting remarkable plasticity across various tissues. Upon exposure to different stimuli, they can polarize into functional subsets. The reorganization process of cellular metabolism, known as metabolic reprogramming, involves the comprehensive adjustment of intracellular metabolites, enzymes, and metabolic pathways. Recent studies have revealed the critical role of metabolic reprogramming in shaping the phenotypes and functions of macrophages. Metabolism drives and regulates macrophages by generating bioenergy and biosynthetic precursors and by altering metabolites that affect gene expression and signal transduction. This review focuses on the immunomodulatory roles of key enzymes and specific products in major metabolic pathways, such as glucose metabolism, lipid metabolism and amino acid metabolism, in macrophages. Additionally, it will highlight recent advancements in targeting metabolic regulation of macrophages in the context of ocular diseases.
Humans ; Macrophages/immunology* ; Animals ; Eye Diseases/immunology* ; Lipid Metabolism ; Glucose/metabolism* ; Metabolic Networks and Pathways ; Signal Transduction ; Metabolic Reprogramming

OBJECTIVE

This study compared the proportion of dry eye disease (DED) diagnosed using the Philippine criteria with that diagnosed using the Asia Dry Eye Society (ADES) criteria among participants, and characterized DED features using clinical tests and the OCULUS Keratograph® 5M (K5M; OCULUS Optikgeräte GmbH, Wetzlar, Germany).

METHODS

This multicenter, cross-sectional study included participants with and without DED. Participants completed the Ocular Surface Disease Index (OSDI) questionnaire and underwent fluorescein tear breakup time (FTBUT) measurement, fluorescein staining of the cornea, lissamine green staining of the conjunctiva, Schirmer 1 test without anesthesia, and basal tear secretion test (BST). The OCULUS K5M was used to measure noninvasive tear breakup time (NIKBUT) and tear meniscus height (TMH), and to perform meibography.

RESULTS

The analysis included 344 eyes from 172 patients with DED and 44 eyes from 22 normal participants. Patients with DED were mostly female (66.3%). Compared to normal participants, patients with DED were older (42.7 ± 14.6 years) and had higher OSDI scores (28.6 ± 21.0). Among those diagnosed with DED using the Philippine criteria, 53.2% met the ADES criteria. Evaporative DED was the predominant type (53.2%). DED eyes had lower FTBUT (5.0 ± 3.3 seconds) and NIKBUT (12.3 ± 5.9 seconds) than controls (p < 0.001). The correlation between FTBUT and NIKBUT was weak in the overall sample (r = 0.27, p < 0.001). The DED group also had a lower BST value (12.7 ± 9.8 mm) than the control group (p < 0.001), while TMH (0.29 ± 0.15 mm) of the DED group did not differ from that of the control group (p = 0.421). BST and TMH also showed weak correlation (r = 0.21, p < 0.001).

CONCLUSION

There were disparities between the Philippine and ADES criteria for DED diagnosis and differences in tear measurements using clinical tests and the OCULUS Keratograph, indicating the need to harmonize diagnostic standards.

Human ; Dry Eye Disease ; Dry Eye Syndromes

OBJECTIVE: To construct a prediction model for the clinical effect of eye acupuncture combined with rehabilitation therapy on ischemic stroke based on interpretable machine learning. METHODS: From January 1st, 2020 to October 1st, 2024, the clinical data of 470 patients with ischemic stroke were collected in the the Second Department of Encephalopathy Rehabilitation of the Affiliated Hospital of Liaoning University of TCM. The modified Barthel index (MBI) score before and after treatment was used to divide the patients into an effect group (291 cases) and a non-effect group (179 cases). Random forest and recursive feature elimination with cross-validation were combined to screen the predictors of the therapeutic effect of patients. Seven representative machine learning models with different principles were established according to the screening results. The predictive effect of the best model was evaluated by receiver operating characteristics (ROC), calibration, and clinical decision-making (DCA) curves. Finally, the Shapley additive explanation (SHAP) framework was used to interpret the prediction results of the best model. RESULT: ①All the machine learning models presented the area under curve (AUC) to be above 85%. Of these models, the random forest model showed the best prediction ability, with AUC of 0.96 and the precision of 0.87. ②The prediction probability of calibration curve and the actual probability showed a good prediction consistency. ③The net benefit rate of DCA curve in the range of 0.1 to 1.0 was higher than the risk threshold, indicating a good effect of model. ④SHAP explained the characteristic values of variables that affected the prediction effect of the model, meaning, more days of treatment, lower MBI score before treatment, lower level of fibrinogen, shorter days of onset and younger age. These values demonstrated the better effect of eye acupuncture rehabilitation therapy. CONCLUSION The rehabilitation effect prediction model constructed in this study presents a good performance, which is conductive to assisting doctors in formulating targeted personalized rehabilitation programs, and identifying the benefit groups of eye acupuncture combined with rehabilitation therapy and finding the advantageous groups with clinical effect. It provides more ideas for the treatment of ischemic stroke with eye acupuncture combined with rehabilitation therapy.
Humans ; Acupuncture Therapy ; Machine Learning ; Male ; Female ; Middle Aged ; Ischemic Stroke/rehabilitation* ; Aged ; Stroke Rehabilitation ; Adult ; Eye