Editorial: New Insights Into Uveitis: Immunity, Genes, and Microbes

Revealing Academic Evolution and Frontier Pattern in the Field of Uveitis Using Bibliometric Analysis, Natural Language Processing, and Machine Learning

PURPOSE

Numerous uveitis articles were published in this century, underneath which hides valuable intelligence. We aimed to characterize the evolution and patterns in this field.

METHODS

We divided the 15,994 uveitis papers into four consecutive time periods for bibliometric analysis, and applied latent Dirichlet allocation topic modeling and machine learning techniques to the latest period. .

RESULTS

The yearly publication pattern fitted the curve: 1.21335x2 - 4,848.95282x + 4,844,935.58876 (R2 = 0.98311). The USA, the most productive country/region, focused on topics like ankylosing spondylitis and biologic therapy, whereas China (mainland) focused on topics like OCT and Behcet disease. The logistic regression showed the highest accuracy (71.6%) in the test set.

CONCLUSION

In this century, a growing number of countries/regions/authors/journals are involved in the uveitis study, promoting the scientific output and thematic evolution. Our pioneering study uncovers the evolving academic trends and frontier patterns in this field using bibliometric analysis and AI algorithms.

IL-8 Triggers Neutrophil Extracellular Trap Formation Through an Nicotinamide Adenine Dinucleotide Phosphate Oxidase- and Mitogen-Activated Protein Kinase Pathway-Dependent Mechanism in Uveitis

Purpose

To explore the mechanism underlying IL-8-induced neutrophil extracellular trap (NET) formation in patients with ocular-active Behçet's disease (BD) and the effect of inhibiting NET formation on the severity of inflammation in experimental autoimmune uveitis (EAU) mice.

Methods

The serum extracellular DNA and neutrophil elastase (NE) and IL-8 levels in patients with ocular-active BD, the expression of myeloperoxidase, NE, and histone H3Cit in IL-8-induced neutrophils isolated from healthy controls, and the effects of NETs on HMC3 cells were detected. Female C57BL/6J mice were immunized with IRBP651-670 to induce EAU and EAU mice received intravitreal injection of the CXCR2 (IL-8 receptor) antagonist SB225002 or PBS. The serum levels of extracellular DNA, NE, and keratinocyte-derived chemokine (the mouse ortholog of human IL-8) and expression of myeloperoxidase, NE, and histone H3Cit in mouse retinas were detected. Disease severity was evaluated by clinical and histopathological scores.

Results

Serum keratinocyte-derived chemokine expression levels in EAU mice and IL-8 expression levels in patients with ocular-active BD increased. IL-8 notably increased NET formation in a dose-dependent manner through an nicotinamide adenine dinucleotide phosphate oxidase and mitogen-activated protein kinase pathway dependent mechanism. IL-8-induced NET formation damaged HMC3 cells in vitro. Pretreatment with SB225002 notably ameliorated the production of NETs in EAU mice.

Conclusions

Our data confirm that NET formation is induced by IL-8. IL-8-induced NET formation was found to be related to mitogen-activated protein kinase and nicotinamide adenine dinucleotide phosphate pathways. Pretreatment with the CXCR2 antagonist SB225002 alleviated neutrophil infiltration and suppressed NET formation in EAU mice.

Vogt-Koyanagi-Harada disease in pediatric, adult and elderly: clinical characteristics and visual outcomes

PURPOSE

To depict a whole spectrum of clinical feartures and visual prognosis among pediatric, adult, and elderly Vogt-Koyanagi-Harada disease (VKH) patients.

METHODS

Retrospective chart review was conducted in 2571 VKH patients diagnosed from April 2008 to January 2022. Based on age of disease onset, patients were divided into pediatric (age ≤ 16 years), adult (16 < age < 65 years), and elderly (age ≥ 65 years) VKH group. Ocular and extraocular manifestations were compared among these patients. Visual outcomes and complications were evaluated using logistic regression models and restricted cubic splines analysis.

RESULTS

The median follow-up time was 48 (IQR, 12-60) months. Pediatric, adult and elderly VKH were found in 106 (4.1%), 2355 (91.6%), and 110 (4.3%) patients, respectively. All of the patients showed similar ocular manifestations in the context of disease phasing. The proportion of neurological and auditory manifestations in pediatric (42.3% and 7.5%) VKH patients was significantly lower than that in adults (66.5% and 47.9%) and elderly (68.2% and 50%) (both p < 0.0001). An increased risk of macular abnormalities was seen in adults (OR, 3.43; 95% CI, 1.62-7.29) compared with elderly VKH. An inverted-U-shaped pattern was observed between disease onset age and a poor visual outcome (visual acuity 6/18 or worse) according to OR value in VKH patients. The highest risk of BCVA ≤ 6/18 was observed in 32 years at disease onset (OR, 1.51; 95% CI, 1.18-1.94). A higher risk of visual loss was observed in adult VKH patients (OR, 9.06; 95% CI, 2.18-37.6) compared with elderly VKH patients. And stratified by macular abnormalities, the interaction test was not significant (P = 0.634).

CONCLUSION

Our study identified, for the first time, a whole spectrum of clinical features of VKH based on a large cohort of Chinese patients. Adult VKH patients have an increased risk of poor visual outcomes, possibly due to increased frequency of macular abnormalities.

Identification of the immune-related biomarkers in Behcet's disease by plasma proteomic analysis

BACKGROUND

This study aimed to investigate the expression profile of immune response-related proteins of Behcet's disease (BD) patients and identify potential biomarkers for this disease.

METHODS

Plasma was collected from BD patients and healthy controls (HC). Immune response-related proteins were measured using the Olink Immune Response Panel. Differentially expressed proteins (DEPs) were used to construct prediction models via five machine learning algorithms: naive Bayes, support vector machine, extreme gradient boosting, random forest, and neural network. The prediction performance of the five models was assessed using the area under the curve (AUC) value, recall (sensitivity), specificity, precision, accuracy, F1 score, and residual distribution. Subtype analysis of BD was performed using the consensus clustering method.

RESULTS

Proteomics results showed 43 DEPs between BD patients and HC (P < 0.05). These DEPs were mainly involved in the Toll-like receptor 9 and NF-κB signaling pathways. Five models were constructed using DEPs [interleukin 10 (IL10), Fc receptor like 3 (FCRL3), Mannan-binding lectin serine peptidase 1 (MASP1), NF2, moesin-ezrin-radixin like (MERLIN) tumor suppressor (NF2), FAM3 metabolism regulating signaling molecule B (FAM3B), and O-6-methylguanine-DNA methyltransferase (MGMT)]. Among these models, the neural network model showed the best performance (AUC = 0.856, recall: 0.692, specificity: 0.857, precision: 0.900, accuracy: 0.750, F1 score: 0.783). BD patients were divided into two subtypes according to the consensus clustering method: one with high disease activity in association with higher expression of tripartite motif-containing 5 (TRIM5), SH2 domain-containing 1A (SH2D1A), phosphoinositide-3-kinase adaptor protein 1 (PIK3AP1), hematopoietic cell-specific Lyn substrate 1 (HCLS1), and DNA fragmentation factor subunit alpha (DFFA) and the other with low disease activity in association with higher expression of C-C motif chemokine ligand 11 (CCL11).

CONCLUSIONS

Our study not only revealed a distinctive immune response-related protein profile for BD but also showed that IL10, FCRL3, MASP1, NF2, FAM3B, and MGMT could serve as potential immune biomarkers for this disease. Additionally, a novel molecular disease classification model was constructed to identify subsets of BD.

Effects of Plasma-Derived Exosomal miRNA-19b-3p on Treg/T Helper 17 Cell Imbalance in Behçet's Uveitis

Purpose

To explore the potential role of plasma-derived exosomal microRNAs (miRNAs) in the development of regulatory T cell (Treg)/T helper 17 (Th17) cell imbalances in Behçet's uveitis (BU).

Methods

The exosome treatment was conducted to evaluate the effects of plasma exosomes from patients with active BU and healthy controls on the Treg/Th17 cell balance. miRNA sequencing analysis of plasma exosomes was conducted to identify differentially expressed miRNAs between patients with active BU and healthy controls. miRTarBase analysis and dual-luciferase reporter assays were conducted to identify the target genes of miR-19b-3p. CD4+T cells were transfected with miR-19b-3p mimic or inhibitor to evaluate its regulation of the Treg/Th17 cell balance. The Treg/Th17 cell balance in CD4+T cells was evaluated by flow cytometry and enzyme-linked immunosorbent assay.

Results

Exosomes from patients with active BU promoted Th17 cell differentiation and inhibited Treg cell differentiation. MiRNA sequencing analysis revealed 177 upregulated and 274 downregulated miRNAs in plasma exosomes of patients with active BU. Among them, miR-19b-3p was significantly elevated, and its target genes were identified as being involved in T-cell differentiation. miR-19b-3p overexpression downregulated CD46 expression and the Treg/Th17 cell ratio in CD4+T cells from healthy controls, whereas miR-19b-3p inhibition reversed these regulatory effects and restored the Treg/Th17 cell balance of CD4+T cells from patients with active BU.

Conclusions

Plasma-derived exosomes from patients with active BU showed a markedly differential miRNA expression in comparison to healthy controls. Highly expressed miRNA-19b-3p could induce a Treg/Th17 cell imbalance, probably by downregulating CD46 expression.