Mechanisms Of Diabetic Retinopathy Research Articles

Current concepts regarding developmental mechanisms in diabetic retinopathy in Taiwan

Current concepts regarding developmental mechanisms in diabetic retinopathy in Taiwan

GLCCI1 alleviates GRP78-initiated endoplasmic reticulum stress-induced apoptosis of retinal ganglion cells in diabetic retinopathy by upregulating and interacting with HSP90AB1

Retinal ganglion cells (RGCs) are among the first neurons to undergo apoptosis in diabetic retinopathy (DR), with their relationship to endoplasmic reticulum stress (ERS)-induced apoptosis still unclear. While glucocorticoid-induced transcript 1 (GLCCI1) has been shown to inhibit apoptosis, its role in ERS-induced apoptosis and its mechanisms in DR remain unclarified. Our findings indicated that GLCCI1 is predominantly localized in the ganglion cell layer and is downregulated in DR. GLCCI1 overexpression mitigated the apoptosis of RGCs and the swelling of endoplasmic reticulum and mitochondria under hyperglycemia, and downregulated ERS-induced apoptosis related markers (GRP78, CHOP and cleaved CASP3), whereas GLCCI1 knockdown has the opposite effect. In vivo, GLCCI1 overexpression not only prevents structural lesions but also protects against microvascular dysfunctions in the retinas of DR mice. We found that GLCCI1 directly interacts with HSP90AB1, which in turn interacts with GRP78. Additionally, GLCCI1 is an upstream regulator of HSP90AB1, which regulates GRP78. Thus, the impact of GLCCI1 on the ERS-induced apoptosis is mainly through the regulation of HSP90AB1, and subsequently inhibiting GRP78-initiated ERS-induced apoptosis. These findings offer a promising avenue for further treatment of DR.

Investigating the relationship between blood metabolites and diabetic retinopathy using two-sample mendelian randomization and in vivo validation

We addressed fundamental questions about the influence of metabolites on the development of Diabetic retinopathy (DR), and explored the related pathological mechanism. Genome-wide association study (GWAS) database data for metabolites and DR were used to perform Mendelian randomization (MR) studies. The inverse variance weighting (IVW) was chosen as the primary analysis method. Sensitivity analysis was conducted using MR-PRESSO, leave-one-out and Cochran’s Q test. Confounding factors were eliminated to ensure robustness. We also conducted metabolic pathway analysis. In vivo experimental validation was conducted using Sprague Dawley rats. The serum metabolites of the DR group rats and normal group rats were examined to evaluate the MR results. The screen identified eighteen metabolites associated with DR risk, twelve of which were known components. Seven metabolites were positively correlated with DR risk, while five could reduce it. Eight metabolites associated with proliferative DR (PDR) risk were identified, four of which are known components. Three of these were positively associated with PDR risk and one metabolite reduced PDR risk. Additionally, two possible metabolic pathways involved in the biological mechanism of DR were identified. The ELISA results showed that the serum levels of isoleucine and 4-HPA were significantly increased in DR rats, while the level of inosine was decreased. This study offers novel insights into the biological mechanisms underlying DR. Metabolites that are causally linked to DR may serve as promising biomarkers and therapeutic targets.

Sex-based differences in the associations between abdominal obesity and diabetic retinopathy in diabetic patients with normal weight

PurposeTo investigate sex-specific differences in associations of abdominal obesity indexes, systemic factors, and diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) subjects with normal body mass index (BMI). MethodsThis cross-sectional study comprised 653 T2DM subjects (402 women and 251 men) with normal BMI (18.5 kg/m2<BMI<24.0 kg/m2). All participants completed a standard questionnaire and underwent comprehensive ocular and systemic examinations. Anthropometric parameters were measured and recorded, including weight, height, waist circumference (WC), hip circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Sex-specific associated factors for DR were assessed using logistic regression models. ResultsIn the multivariate logistic regressions, the presence of any DR was associated with a longer duration of T2DM (OR = 1.07, p = 0.007) and higher HbA1c (OR = 1.40, p = 0.001) in women, while any DR was associated with younger age at T2DM diagnosis (OR = 0.94, p = 0.020) and higher HbA1c (OR = 1.29, p = 0.011) in men. For women, we identified a positive association between WC (OR = 1.07, p = 0.011), WHR (OR = 1.67, p = 0.002), and WHtR (OR = 1.57, p = 0.004) with any DR after adjusting for confounders, and the third tertiles of WC (OR = 2.29, p = 0.028), WHR (OR = 3.03, p = 0.003), and WHtR (OR = 2.84, p = 0.007) were at high risk of any DR. For men, there were no associations between abdominal obesity indexes and any DR in either continuous variables or categorical variables (all p > 0.05). Main conclusionsThere were sex differences in the relationships between WC, WHR, WHtR, and DR in this T2DM population with normal BMI. Our findings provide new insight into a sex-specific mechanism of DR and management of the condition.

Identification of Key Efferocytosis-Related Genes and Mechanisms in Diabetic Retinopathy.

This study aimed to explore the key efferocytosis-related genes in diabetic retinopathy (DR) and their regulatory mechanisms. Public DR-related gene expression datasets, GSE160306 (training) and GSE60436 (validation), were downloaded. Differentially expressed efferocytosis-related genes (DEERGs) were analyzed using differential expression analysis and weighted gene co-expression network analysis. Functional enrichment analysis was conducted. Moreover, efferocytosis-related signature genes were identified using machine learning analysis, and their expression levels and diagnostic value were analyzed. Furthermore, nomograms were constructed; immune cell infiltration was analyzed; and gene set enrichment analysis, transcriptional regulation analysis, and small-molecule drug (SMD) prediction of efferocytosis-related signature genes were performed. In total, 36 DEERGs were identified in DR, and were markedly enriched in multiple functions, such as visual system development. Through further machine learning analysis, two efferocytosis-related signature genes, Ferritin Light Chain (FTL) and Fc Gamma Binding Protein (FCGBP), were identified, and were found to be upregulated in DR samples and showed high diagnostic performance for DR. A nomogram constructed using FTL and FCGBP accurately predicted the risk of DR. Moreover, the level of infiltration of immature B cells was positively correlated with FTL and FCGBP expression levels. Multiple transcription factors (TFs), such as CCCTC-Binding Factor (CTCF) and KLF Transcription Factor 9 (KLF9), were found to interact with both FTL and FCGBP. In addition, FTL can be targeted by miRNAs, such as miR-22-3p, and FCGBP can be targeted by miR-7973. In addition, both FTL and FCGBP can be targeted by SMDs, such as bisphenol A. Key efferocytosis-related genes, such as FTL and FCGBP, may promote DR development. Detecting or targeting FTL and FCGBP may aid in the prevention, diagnosis, and treatment of DR.

NR2E3 inhibits the inflammation and apoptosis in diabetic retinopathy by regulating the AHR/IL-17A signaling pathway.

Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes mellitus, and it is the primary cause of blindness in the working-age population worldwide. Nevertheless, the pathogenic molecular mechanisms of DR remain elusive. Hub genes were identified through bioinformatics analysis in the GSE102485 and GSE60436 datasets. The DR mouse model was induced using streptozotocin (STZ, 150mg/kg), and pathological changes in retinal tissue were assessed via HE staining. Apoptosis in retinal tissue cells was evaluated by the TUNEL assay. RT-qPCR and ELISA assays were employed to measure hub genes and inflammatory factor levels, respectively. The aryl hydrocarbon receptor (AHR)/interleukin (IL)-17A (AHR/IL-17A) pathway-associated proteins were detected by western blot. In the high glucose (HG)-induced ARPE-19 cells, CCK-8 and flow cytometry were used to perform cell function studies. Six hub genes associated with DR were screened. The expression levels of RHO, PRPH2, CRX, RCVRN, and NR2E3 were reduced, while the COL1A2 was elevated. NR2E3 overexpression reduced inflammatory factor (TNF-α, IL-1β, and IL-6) and cell apoptosis levels in DR. Furthermore, NR2E3 overexpression promoted HG-induced ARPE-19 cell proliferation. Mechanistically, NR2E3 overexpression facilitated the protein expression of AHR, while suppressing the IL-17 and ACT1 expressions. The introduction of Kyn-101, an AHR inhibitor, notably reversed the inhibitory effects of NR2E3 overexpression on inflammation and apoptosis, which were validated both in vivo and in vitro. NR2E3 inhibits the inflammation and apoptosis by regulating the AHR/IL-17A pathway, providing new insights into the DR treatment.

RAAS in diabetic retinopathy: mechanisms and therapies.

Diabetic retinopathy (DR) is a complication of diabetes with a complex pathophysiology and multiple factors involved. Recently, it has been found that the upregulation of the renin-angiotensin-aldosterone system (RAAS) leads to overexpression of angiotensin II (Ang II), which induces oxidative stress, inflammation, and angiogenesis in the retina. Therefore, RAAS may be a promising therapeutic target in DR. Notably, RAAS inhibitors are often used in the treatment of hypertension. Still, the potential role and mechanism of DR must be further studied. In this review, we discuss and summarize the pathology and potential therapeutic goals of RAAS in DR.

Identification of PDGFA as a Neutrophil-related Biomarker Linked to the Advancement of Diabetic Retinopathy through Integrated Bioinformatics Analysis.

The dysregulation of the innate immune system plays a crucial role in the development of Diabetic Retinopathy (DR). To gain an insight into the underlying mechanism of DR, it is essential to identify specific biomarkers associated with immune cell infiltration. In this study, we retrieved the GSE94019 and GSE60436 datasets from the Gene Expression Omnibus (GEO) database. By utilizing CIBERSORT, MCPcounter, and xCell algorithms, we conducted a comprehensive analysis of the immune cell infiltration landscape in DR. The limma package was employed to identify Differentially Expressed Necroptosis-related Genes (DENRGs). Subsequently, enrichment analysis was performed to investigate the potential functions of the DENRGs. To identify the core DENRGs, the CytoHubba plug-in in Cytoscape software was utilized. The expression levels of these core DENRGs were verified in an independent dataset. Our analysis identified 213 DENRGs, and among them, Platelet-derived Growth Factor subunit A (PDGFA) was identified as a core DENRG. Notably, the expression of PDGFA was found to be upregulated in DR, and this finding was further validated in the GSE102485 dataset. Additionally, the results of GSVA and GSEA revealed that in the high PDGFA group, there was activation of pathways related to inflammation and the immune system. Moreover, analysis of immune infiltration demonstrated a significant association between PDGFA gene expression and the infiltration levels of specific immune cells, including basophils, macrophages M1, macrophages, neutrophils, monocytes, NK cells, and B cells. The involvement of neutrophils in the development and progression of DR is suggested. PDGFA has emerged as a potential marker and is linked to the infiltration of immune cells in DR. These findings shed new light on the underlying mechanisms of DR.

Network Pharmacology and Molecular Docking to Explore the Mechanism of Compound Qilian Tablets in Treating Diabetic Retinopathy

Background: Diabetic Retinopathy (DR) is one of the common chronic complications of diabetes mellitus, which has developed into the leading cause of irreversible visual impairment in adults worldwide. The Compound Qilian Tablets (CQLT) were developed in China for the treatment and prevention of DR, but their mechanism of action is still unclear. Objective: In the present study, network pharmacology, molecular docking, and in vivo validation experiments were used to investigate the active components and molecular mechanisms of CQLT against DR. Methods: The active components and targets of CQLT were collected through the TCSMP database, and the targets of DR were obtained from GeneCards, OMIM, and Drugbank databases. We established a protein-protein interaction network using the STRING database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using the Metascape database. Molecular docking using AutoDock Vina was performed to investigate the interactions between components of CQLT and core targets. Moreover, we selected ZDF rats to establish a DR model for the experimental studies. Results: 39 active components and 448 targets in CQLT were screened, among which 90 targets were shared with DR. KEGG pathway enrichment analysis identified 181 pathways. The molecular docking results demonstrated that the main active components had strong binding ability to the core targets. The results from animal experiments indicate that the mechanism of CQLT against DR is associated with inhibiting the retinal mTOR/HIF-1α/VEGF signaling pathway, alleviating the inflammatory response, suppressing retinal neovascularization, and protecting the function and morphology of the retina. Conclusion: The present study preliminarily explored the mechanism of CQLT in treating DR and demonstrated that CQLT exerts anti-DR effects through multiple components, multiple targets, and multiple pathways. These findings suggest that CQLT shows promise as a potential therapeutic agent for DR and could contribute to developing novel treatments.

MECHANISMS OF DEVELOPMENT AND MODERN DIRECTIONS OF TREATMENT OF DIABETIC RETINOPATHY (literature review)

Background. Despite the significant achievements in understanding the mechanisms of diabetic retinopathy (DR), the active search for new approaches and testing directions for its treatment continues today.&#x0D; Aim: To determine the current state of understanding of the mechanisms of development and directions of treatment of diabetic retinopathy.&#x0D; Materials and methods. An information search for the results of scientific research was conducted in the online databases PubMed, Web of Science, Scopus, and Google Scholar using keywords. The search depth is 10 years. The search was performed by two independent authors. 178 sources were selected for analysis, of which 53 that met the search criteria were used.&#x0D; Results. From a pathophysiological point of view, DR is a complex of progressive changes in the microcirculatory channel, which lead to ischemia, neovascularization, increased permeability of the hematoretinal barrier, and macular edema. At the same time, the predominantly inflammatory nature of the damage with a sluggish chronic course and damage to retinal neurons and microvascular disorders was established. The universal mechanism of DR can be considered oxidative stress, which connects all biochemical and molecular pathways induced by hyperglycemia. Important mechanisms are loss of pericytes, changes in gene expression, activation of signaling cascades Ras/Raf-1/MEK/ERK, p38-MAPK, endothelial dysfunction and recruitment of leukocytes and monocytes, activation of NF-κB, HIF-1 and VEGF pathways, activation of apoptosis and pyroptosis. Existing methods of DR treating require significant expansion with the use of targeted therapy aimed at specific pathogenetic pathways.&#x0D; Conclusion. The discovery of new mechanisms of DR and the search for new directions of targeted therapy is an urgent task of modern ophthalmology.

Identification of biomarkers associated with immune scores in diabetic retinopathy.

Diabetic retinopathy (DR) causes irreversible visual impairment in diabetes mellitus (DM) patients. Immunity played a crucial role in DR. Nevertheless, the triggering mechanism of DR was not yet thorough enough. Herein, we aim to identify the immune-associated genes as biomarkers associated with immune scores that can distinguish early DR from DM without DR. In this study, total RNA of peripheral blood mononuclear cell (PBMC) samples from 15 non-proliferative DR patients and 15 DM patients without DR were collected and the transcriptome sequencing data were extracted. Firstly, the target genes were obtained by intersecting the differentially expressed genes (DEGs), which were screened by "limma", and the module genes (related to immune scores), which were screened by "WGCNA". In order to screen for the crucial genes, three machine learning algorithms were implemented, and a receiver operating characteristic (ROC) curve was used to obtain the diagnostic genes. Moreover, the gene set enrichment analysis (GSEA) was performed to understand the function of diagnostic genes, and analysis of the proportions of immune cells and their association with diagnostic genes was performed to analyze the pathogenesis of DR. Furthermore, the regulatory network of TF-mRNA-miRNA was built to reveal the possible regulation of diagnostic genes. Finally, the quantitative real-time polymerase chain reaction (qRT-PCR) was performed to verify the mRNA level of diagnostic genes. A total of three immune-associated diagnostic genes, namely, FAM209B, POM121L1P, and PTGES, were obtained, and their expression was increased in PBMC samples of DR, and qRT-PCR results confirmed these results. Moreover, the functions of these genes were associated with immune response. The expression of POM121L1P and PTGES was significantly negatively associated with naive B cells, and the expression of FAM209B was significantly negatively associated with immature dendritic cells. Moreover, ESR1 could regulate both FAM209B and PTGES. This study identified three immune-associated diagnostic genes, FAM209B, POM121L1P, and PTGES, as biomarkers associated with immune scores in DR for the first time. This finding might proffer a novel perspective of the triggering mechanism of DR, and help to understand the role of immune-associated genes in the molecular mechanism of DR more deeply.

Study of Foveal Avascular Zone Growth in Individuals With Mild Diabetic Retinopathy by Optical Coherence Tomography.

The purpose of this study was to investigate the association between foveal vessels and retinal thickness in individuals with diabetic retinopathy (DR) and control subjects, and to reveal foveal avascular zone (FAZ) growth in early individuals with DR. The regions with a thickness less than 60µm were marked from the intima thickness maps and named FAZThic. The avascular zones extracted from the deep vascular plexus were designated as FAZAngi. The boundary of the two FAZ forms a ring region, which we called FAZRing. The FAZ growth rate was defined as the ratio of the FAZRing area to the FAZThic area. Thirty healthy controls and 30 individuals with mild nonproliferative DR were recruited for this study. The FAZThic area in individuals with mild DR and control subjects showed similar distribution. The FAZAngi area in individuals with mild DR are higher than that in control subjects on the whole, but there was no significant difference (P > 0.05). The FAZRing area in individuals with mild DR was significantly higher than that in control subjects (P < 0.001). However, there is still a small amount of overlap data between the two groups. For the FAZ growth rate, the individuals with mild DR were also significantly larger than the control subjects (P < 0.001). But there were no overlapping data between the two groups. The growth of FAZ in individuals with mild DR can be inferred by comparing FAZAngi with FAZThic. This method minimizes the impact of individual variations and helps researchers to understand the progression mechanism of DR more deeply.

Proteomic analysis of diabetic retinas.

As a metabolic disease, diabetes often leads to health complications such as heart failure, nephropathy, neurological disorders, and vision loss. Diabetic retinopathy (DR) affects as many as 100 million people worldwide. The mechanism of DR is complex and known to impact both neural and vascular components in the retina. While recent advances in the field have identified major cellular signaling contributing to DR pathogenesis, little has been reported on the protein post-translational modifications (PTM) - known to define protein localization, function, and activity - in the diabetic retina overall. Protein glycosylation is the enzymatic addition of carbohydrates to proteins, which can influence many protein attributes including folding, stability, function, and subcellular localization. O-linked glycosylation is the addition of sugars to an oxygen atom in amino acids with a free oxygen atom in their side chain (i.e., threonine, serine). To date, more than 100 congenital disorders of glycosylation have been described. However, no studies have identified the retinal O-linked glycoproteome in health or disease. With a critical need to expedite the discovery of PTMomics in diabetic retinas, we identified both global changes in protein levels and the retinal O-glycoproteome of control and diabetic mice. We used liquid chromatography/mass spectrometry-based proteomics and high throughput screening to identify proteins differentially expressed and proteins differentially O-glycosylated in the retinas of wildtype and diabetic mice. Changes in both global expression levels of proteins and proteins differentially glycosylated in the retinas of wild-type and diabetic mice have been identified. We provide evidence that diabetes shifts both global expression levels and O-glycosylation of metabolic and synaptic proteins in the retina. Here we report changes in the retinal proteome of diabetic mice. We highlight alterations in global proteins involved in metabolic processes, maintaining cellular structure, trafficking, and neuronal processes. We then showed changes in O-linked glycosylation of individual proteins in the diabetic retina.

Comprehensive metabolic profiling of diabetic retinopathy

Diabetic retinopathy (DR) is an important complication of diabetes mellitus and a prevalent blind-causing ophthalmic disease. Despite years of efforts, rapid and accurate diagnosis of DR remains a challenging task. Metabolomics has been used as a diagnostic tool for disease progression and therapy monitoring. In this study, retinal tissues were collected from diabetic mice and age-matched non-diabetic mice. An unbiased metabolic profiling was performed to identify the altered metabolites and metabolic pathways in DR. 311 differential metabolites were identified between diabetic retinas and non-diabetic retinas under the criteria of variable importance in projection (VIP) > 1 and P < 0.05. These differential metabolites were highly enriched in purine metabolism, amino acid metabolism, glycerophospholipid metabolism, and pantaothenate and CoA biosynthesis. We then evaluated the sensitivity and specificity of purine metabolites as the candidate biomarkers for DR through the area under the receiver-operating characteristic curves (AUC-ROCs). Compared with other purine metabolites, adenosine, guanine, and inosine had higher sensitivity, specificity, and accuracy for DR prediction. In conclusion, this study sheds new light on the metabolic mechanism of DR, which can facilitate clinical diagnosis, therapy, and prognosis of DR in the future.

Research progress on the mechanism of ferroptosis and its role in diabetic retinopathy.

Ferroptosis is iron-dependent regulatory cell death (RCD). Morphologically, ferroptosis is manifested as mitochondrial atrophy and increased mitochondrial membrane density. Biochemically, ferroptosis is characterized by the depletion of glutathione (GSH), the inactivation of glutathione peroxidase 4 (GPX4), and an increase in lipid peroxides (LPO)and divalent iron ions. Ferroptosis is associated with various diseases, but the relationship with diabetic retinopathy(DR) is less studied. DR is one of the complications of diabetes mellitus and has a severe impact on visual function. The pathology of DR is complex, and the current treatment is unsatisfactory. Therefore, exploring pathogenesis is helpful for the clinical treatment of DR. This paper reviews the pathological mechanism of ferroptosis and DR in recent years and the involvement of ferroptosis in the pathology of DR. In addition, we propose problems that need to be addressed in this research field. It is expected to provide new ideas for treating DR by analyzing the role of ferroptosis in DR.

Anxiety and Depression in Patients with Diabetic Retinopathy

The blinding eye condition known as diabetic retinopathy (DR) is preventable and manageable. DR is becoming more common right now, and both prevention and therapy are extremely difficult. However, the precise mechanism of the association between DR and anxiety and depression has not yet been fully elucidated. Recent studies have demonstrated that DR is linked to negative psychology, and research on DR accompanied by anxiety and depression has also made some headway. In addition to offering fresh perspectives on the multi-factor regulation mechanism of DR, early detection and prevention, and bolstering diabetes health management, this paper examines the clinical, mechanism, and influencing aspects of DR and anxiety and depression in recent years.

Identification of key genes modules linking diabetic retinopathy and circadian rhythm.

Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. Recent studies highlighted the crucial impact of circadian rhythms (CR) on normal retinopathy in response to the external light cues. However, the role of circadian rhythms in DR pathogenesis and potential investigational drugs remains unclear. To investigate the weather CR affects DR, differential expression analysis was employed to identify differentially expressed genes (DEGs) from the GEO database (GSE160306). Functional enrichment analysis was conducted to identify relevant signaling pathways. LASSO regression was utilized to screen pivotal genes. Weighted gene co-expression network anlaysis (WGCNA) was applied to identify different modules. Additionally, we use the Comparative Toxicogenomics Database (CTD) database to search key genes related to drugs or molecular compounds. The diabetic mouse model received three consecutive intraperitoneal injections of streptozotocin (STZ) during 3 successive days. We initially identified six key genes associated with circadian rhythm in DR, including COL6A3, IGFBP2, IGHG4, KLHDC7A, RPL26P30, and MYL6P4. Compared to normal tissue, the expression levels of COL6A3 and IGFB2 were significantly increased in DR model. Furthermore, we identified several signaling pathways, including death domain binding, insulin-like growth factor I binding, and proteasome binding. We also observed that COL6A3 was positively correlated with macrophages (cor=0.628296895, p=9.96E-08) and Th17 cells (cor=0.665120835, p=9.14E-09), while IGFBP2 showed a negatively correlated with Tgd (cor=-0.459953045, p=0.000247284) and Th2 cells (cor=-0.442269719, p=0.000452875). Finally, we identified four drugs associated with key genes: Resveratrol, Vitamin E, Streptozocin, and Sulindac. Our findings revealed several key genes related to circadian rhythms and several relevant drugs in DR, providing a novel insight into the mechanism of DR and potential implications for future DR treatment. This study contributes to a better understanding of CR in DR and its implications for future therapeutic interventions.

MORPHOLOGICAL ASSESSMENT OF DIABETIC RETINOPATHY

A morphological study of the thickness of the choroid in patients with diabetes using spectral- domain optical coherence tomography was carried out in order to analyze the morphological changes of choroidal vessels and their role in the mechanism of diabetic retinopathy, which was carried out on the eyes of 203 participants with diabetes and on the eyes of 48 we are healthy people. The thickness of the choroid in the area of the foveal lesion was measured using optical coherence tomography with enhanced imaging. Participants were grouped according to the degree of diabetic retinopathy: no diabetic changes, mild or moderate, or severe nonproliferative or proliferative diabetic retinopathy. Study parameters included history, age, axial length, intraocular pressure, central retinal thickness, fasting glucose, and blood pressure. As a result, subfoveal choroidal thickness was smaller in eyes with nonproliferative or proliferative diabetic retinopathy than in normal eyes (p &lt;0.01). However, there was no diff erence between eyes with nonproliferative and proliferative diabetic retinopathy or between eyes without diabetic changes and controls. Eyes with macular edema did not show a signifi cant diff erence in choroidal thickness compared to eyes with normal macular contours. Consequently, the central choroid thins when eyes exhibit diabetic retinal changes. However, the presence of diabetic macular edema or proliferative changes was not associated with more pronounced choroidal thinning.

Research Progress on Mitochondrial Dysfunction in Diabetic Retinopathy

Diabetic Retinopathy (DR) is one of the most important microvascular complications of diabetes mellitus, which can lead to blindness in severe cases. Mitochondria are energy-producing organelles in eukaryotic cells, which participate in metabolism and signal transduction, and regulate cell growth, differentiation, aging, and death. Metabolic changes of retinal cells and epigenetic changes of mitochondria-related genes under high glucose can lead to mitochondrial dysfunction and induce mitochondrial pathway apoptosis. In addition, mitophagy and mitochondrial dynamics also change adaptively. These mechanisms may be related to the occurrence and progression of DR, and also provide valuable clues for the prevention and treatment of DR. This article reviews the mechanism of DR induced by mitochondrial dysfunction, and the prospects for related treatment.

Integrated bioinformatics analysis for novel miRNAs markers and ceRNA network in diabetic retinopathy.

In order to seek a more outstanding diagnosis and treatment of diabetic retinopathy (DR), we predicted the miRNA biomarkers of DR and explored the pathological mechanism of DR through bioinformatics analysis. Method: Based on public omics data and databases, we investigated ncRNA (non-coding RNA) functions based on the ceRNA hypothesis. Result: Among differentially expressed miRNAs (DE-miRNAs), hsa-miR-1179, -4797-3p and -665 may be diagnosis biomarkers of DR. Functional enrichment analysis revealed differentially expressed mRNAs (DE-mRNAs) enriched in mitochondrial transport, cellular respiration and energy derivation. 18 tissue/organ-specific expressed genes, 10 hub genes and gene cluster modules were identified. The ceRNA networks lncRNA FBXL19-AS1/miR-378f/MRPL39 and lncRNA UBL7-AS1/miR-378f/MRPL39 might be potential RNA regulatory pathways in DR. Conclusion: Differentially expressed hsa-miR-1179, -4797-3p and -665 can be used as powerful markers for DR diagnosis, and the ceRNA network: lncRNA FBXL19-AS1/UBL7-AS1-miR-378f-MRPL39 may represent an important regulatory role in DR progression.