Oxidative stress is an important mechanism of aging, and in turn, aging can also aggravate oxidative stress, which leads to a vicious cycle. In the process of the brain converting light into visual signals, the eye is stimulated by harmful blue‐light radiation directly. Thus, the eye is especially vulnerable to oxidative stress and becomes one of the organs most seriously involved during the aging process. Cataracts, age‐related macular degeneration (AMD), glaucoma, diabetic retinopathy (DR), and dry eye are inextricably linked to the aging process and oxidative stress. Chlorogenic acid (CGA) has been demonstrated to have antioxidant and anti‐inflammatory activities, and its validity has been established experimentally in numerous fields, including cardiovascular disease, metabolic disorders, cancers, and other chronic diseases. There has previously been evidence of CGA's therapeutic effect in the field of ophthalmopathy. Considering that many ophthalmic drugs lead to systemic side effects, CGA may act as a natural exogenous antioxidant for patients to take regularly, controlling their condition while minimizing side effects. In this paper, in vitro and in vivo studies of CGA in the treatment of age‐related eye diseases are reviewed, and the prospects of CGA's antioxidant application for the eye are discussed. The aim of this review is to summarize the relevant knowledge and provide theoretical support for future research.

Dry eye disease (DED), a multifactorial ocular surface disorder characterized by tear film instability, is pathologically linked to oxidative damage. The accumulation of reactive oxygen species (ROS) across ocular tissues not only directly damages nucleic acids, proteins, and lipids, but also functions as an upstream driver of inflammation and tear hyperosmolarity, collectively disrupting cellular homeostasis. This review comprehensively delineates the mechanistic interplay between oxidative stress (OS) and DED pathogenesis, synthesizing evidence on enzymatic/ nonenzymatic antioxidant alterations in samples of corneal, lacrimal, conjunctival, meibomian gland, and tear tissues, alongside quantitative profiling of OS biomarkers, such as 4‐hydroxynonenal (4HNE), malondialdehyde (MDA), 8‐hydroxy‐2′‐deoxyguanosine (8‐OHdG), and 3‐nitrotyrosine (3‐NT). Furthermore, the therapeutic mechanisms of clinically approved and investigational antioxidants, including SKQ1, rebamipide, mitoquinone, elamipretide, lactoferrin, nanozymes, graphene quantum dots, tetrahedral frame of nucleic acids, and Chinese medicine monomers are critically evaluated. With the changes in the modern social environment and lifestyle, the influence of OS on DED is gradually expanding. Antioxidant‐based interventions are poised to become cornerstone components of multimodal DED management strategies.

Thyroid eye disease (TED), an autoimmune inflammatory disorder affecting the orbit, exhibits a range of clinical manifestations. While the disease presentation can vary, cases that adhere to a prototypical pattern typically commence with mild symptoms that subsequently escalate in severity before entering a phase of stabilization. Notably, the metabolic activity of cells implicated in the disease substantially deviates from that of healthy cells, with purine metabolism representing a critical facet of cellular material metabolism by supplying components essential for DNA and RNA synthesis. Nevertheless, the precise involvement of Purine Metabolism Genes (PMGs) in the defensive mechanism against TED remains largely unexplored. The present study employed a bioinformatics approach to identify and validate potential PMGs associated with TED. A curated set of 65 candidate PMGs was utilized to uncover novel PMGs through a combination of differential expression analysis and a PMG dataset. Furthermore, GSEA and GSVA were employed to explore the biological functions and pathways associated with the newly identified PMGs. Subsequently, the Lasso regression and SVM-RFE algorithms were applied to identify hub genes and assess the diagnostic efficacy of the top 10 PMGs in distinguishing TED. Additionally, the relationship between hub PMGs and clinical characteristics was investigated. Finally, the expression levels of the identified ten PMGs were validated using the GSE58331 and GSE105149 datasets. This study revealed ten PMGs related with TED. PRPS2, PFAS, ATIC, NT5C1A, POLR2E, POLR2F, POLR3B, PDE3A, ADSS, and NTPCR are among the PMGs. The biological function investigation revealed their participation in processes such as RNA splicing, purine-containing chemical metabolism, and purine nucleotide metabolism. Furthermore, the diagnostic performance of the 10 PMGs in differentiating TED was encouraging. This study was effective in identifying ten PMGs linked to TED. These findings provide light on potential new biomarkers for TED and open up possibilities for tracking disease development.

Background: Nonspecific orbital inflammation (NSOI) represents a perplexing and persistent proliferative inflammatory disorder of idiopathic nature, characterized by a heterogeneous lymphoid infiltration within the orbital region. This condition, marked by the aberrant metabolic activities of its cellular constituents, starkly contrasts with the metabolic equilibrium found in healthy cells. Among the myriad pathways integral to cellular metabolism, purine metabolism emerges as a critical player, providing the building blocks for nucleic acid synthesis, such as DNA and RNA. Despite its significance, the contribution of Purine Metabolism Genes (PMGs) to the pathophysiological landscape of NSOI remains a mystery, highlighting a critical gap in our understanding of the disease’s molecular underpinnings.Methods: To bridge this knowledge gap, our study embarked on an exploratory journey to identify and validate PMGs implicated in NSOI, employing a comprehensive bioinformatics strategy. By intersecting differential gene expression analyses with a curated list of 92 known PMGs, we aimed to pinpoint those with potential roles in NSOI. Advanced methodologies, including Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA), facilitated a deep dive into the biological functions and pathways associated with these PMGs. Further refinement through Lasso regression and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) enabled the identification of key hub genes and the evaluation of their diagnostic prowess for NSOI. Additionally, the relationship between these hub PMGs and relevant clinical parameters was thoroughly investigated. To corroborate our findings, we analyzed expression data from datasets GSE58331 and GSE105149, focusing on the seven PMGs identified as potentially crucial to NSOI pathology.Results: Our investigation unveiled seven PMGs (ENTPD1, POLR2K, NPR2, PDE6D, PDE6H, PDE4B, and ALLC) as intimately connected to NSOI. Functional analyses shed light on their involvement in processes such as peroxisome targeting sequence binding, seminiferous tubule development, and ciliary transition zone organization. Importantly, the diagnostic capabilities of these PMGs demonstrated promising efficacy in distinguishing NSOI from non-affected states.Conclusions: Through rigorous bioinformatics analyses, this study unveils seven PMGs as novel biomarker candidates for NSOI, elucidating their potential roles in the disease’s pathogenesis. These discoveries not only enhance our understanding of NSOI at the molecular level but also pave the way for innovative approaches to monitor and study its progression, offering a beacon of hope for individuals afflicted by this enigmatic condition.

QiJu-DiHuang Wan (QJDHW), a frequently employed Chinese herbal formula, is used to treat blurred vision. Even so, it is unclear how it works in treating age-related dry eyes. The aim of this research is to explore the potential mechanisms of QJDHW in treating dry eye using UHPLC-QE-MS, metabolomics, and network pharmacology. Six male SD rats were segregated into control and QJDHW groups. Following intervention, The primary active ingredients in QJDHW-containing serum were identified using UHPLC-QE-MS. Metabolomics and network pharmacology were utilized to investigate potential targets and pathways involved following QJDHW use. Primary lacrimal epithelial cells were used for validation. A total of 425 active ingredients of QJDHW were identified, along with 210 active ingredients in QJDHW-containing serum. A comparison of QJDHW-containing serum and control serum samples revealed 40 metabolic differentiators. A total of 24 metabolites were found in QJDHW and QJDHW-containing serum. Network pharmacology identified 3,144 targets for dry eye disease, and 102 metabolite action targets were found for QJDHW-entering components. KEGG Enrichment Analysis revealed significance of HIF-1, apoptosis, cell cycle and PI3K-Akt, among others. HIF-1 and PI3K-Akt were chosen for verification in the oxidative damage model of lacrimal epithelial cells. The main active ingredients of QJDHW and its containing serum were elucidated by UHPLC-QE-MS demonstrating that QJDHW treats age-associated dry eye by inhibiting HIF1α/NF-κB through ROS inhibition and PI3K/p-AKT activation.