International journal of ophthalmology最新文献

Aim: To compare the short-term effectiveness of intelligent navigated laser photocoagulation and 577-nm subthreshold micropulse laser (SML) treatment in patients with chronic central serous chorioretinopathy (cCSC).

Methods: This observational retrospective cohort study included 60 consecutive patients who underwent intelligent navigated laser photocoagulation (n=30) or 577-nm SML treatment (n=30) for cCSC between Jan. 2021 and Oct. 2022. During 3mo follow-up, all patients underwent assessments of best correct visual acuity (BCVA) and optical coherence tomography (OCT).

Results: The operation of laser treatment was successful in all cases. At 1mo, BCVA improved significantly more in the intelligent navigated laser photocoagulation group compared to the SML group (P<0.05). The change was not significantly different at 3mo (P>0.05). Central macular thickness (CMT) in the intelligent navigated laser photocoagulation group was lower than in the SML group at 1mo (P<0.05). The subfoveal choroidal thickness (SFCT) in two groups were all significantly improved at 3mo (all P<0.05). The change between two groups was not significantly different at 1mo or at 3mo (P>0.05).

Conclusion: Intelligent navigated laser photocoagulation is superior to SML for treating cCSC, leading to better improvements in vision and CMT for short term.

Aim: To investigate the proliferation regulatory effect of cone-rod homeobox (CRX) in retinal pigment epithelium (RPE) and retinoblastoma (RB) cells to explore the potential application and side effect (oncogenic potential) of CRX-based gene therapy in RPE-based retinopathies.

Methods: Adult human retinal pigment epithelial (ARPE)-19 and human retinal pigment epithelial (RPE)-1 cells and Y79 RB cell were used in the study. Genetic manipulation was performed by lentivirus-based technology. The cell proliferation was determined by a CellTiter-Glo Reagent. The mRNA and protein levels were determined by quantitative real-time polymerase chain reaction (qPCR) and Western blot assay. The transcriptional activity of the promoter was determined by luciferase reporter gene assay. The bindings between CRX and transcription factor 7 (TCF7) promoter as well as TCF7 and the promoters of TCF7 target genes were examined by chromatin immunoprecipitation (ChIP) assay. The transcription of the TCF7 was determined by a modified nuclear run-on assay.

Results: CRX overexpression and knockdown significantly increased (n=3, P<0.05 in all the cells) and decreased (n=3, P<0.01 in all the cells) the proliferation of RPE and RB cells. CRX overexpression and knockdown significantly increased and deceased the mRNA levels of Wnt signaling target genes [including MYC proto-oncogene (MYC), JUN, FOS like 1 (FOSL1), CCND1, cyclin D2 (CCND2), cyclin D3 (CCND3), cellular communication network factor 4 (CCN4), peroxisome proliferator activated receptor delta (PPARD), and matrix metallopeptidase 7 (MMP7)] and the luciferase activity driven by the Wnt signaling transcription factor (TCF7). TCF7 overexpression and knockdown significantly increased and decreased the proliferation of RPE and RB cells and depletion of TCF7 significantly abolished the stimulatory effect of CRX on the proliferation of RPE and RB cells. CRX overexpression and knockdown significantly increased and decreased the mRNA level of TCF7 and the promoter of TCF7 was significantly immunoprecipitated by CRX antibody.

Conclusion: CRX transcriptionally activates TCF7 to promote the proliferation of RPE and RB cells in vitro. CRX is a potential target for RPE-based regenerative medicine. The potential risk of this strategy, tumorigenic potential, should be considered.

Aim: To observe the changes in corneal subepithelial nerve fibers (CNFs) and Langerhans cells (LCs) in patients with type 2 diabetes using corneal laser confocal microscopy (CLCM).

Methods: A total of 60 patients (64 eyes), including 40 patients with type 2 diabetes (DM group) and 20 subjects without diabetes (control group) were included with CLCM. Neuron J plugin of Image J software were used for quantitative analysis of CNF length (CNFL), CNF density (CNFD), corneal nerve branch fiber density (CNBD), main branch length density, branch length density, corneal nerve fiber tortuosity (NT) score, and LCs density. An independent samples t-test to analyze the variability between the two groups was performed, and Pearson correlation analysis was used to analyze the relationships between CNF and multiple biochemical indicators in the DM group. The predictive power of CNF for type 2 diabetes was assessed using the receiver operating characteristic (ROC) curve.

Results: There were significant differences in the CNFL, CNFD, and main branch length density between two groups. The results of Pearson correlation analysis showed a significant negative correlation between CNFD and the duration of diabetes as well as triglyceride levels and total cholesterol, and a significant positive correlation between CNFD and serum albumin. In addition, the NT score showed a positive correlation and urea nitrogen, similar to the positive correlation observed between LC density and glycosylated hemoglobin (HbA1c) levels. CNFD showed the highest area under the curve (AUC of ROC) value, followed by main branch length density and CNFL. The AUC of the ROC curve under the logistic regression model also demonstrated good predictive values. The cut-off values of CNFD, CNFL, and main branch length density for diabetes showed 31.25, 18.85, and 12.56, respectively.

Conclusion: In patients with type 2 diabetes, there is a notable reduction in both CNFL and CNFD. These measurements can be influenced by various blood biochemical factors. However, the compromised nerve fibers can serve as valuable indicators for predicting the onset of type 2 diabetes and also as biomarkers for detecting diabetic neuropathy and its related complications.

Aim: To investigate the patterns of short-term intraocular pressure (IOP) fluctuations and identify the contributing factors following intravitreal injection in patients with retinal vascular diseases.

Methods: Totally 81 patients were enrolled in this case control study. Eyes were categorized into 7 groups, including age-related macular degeneration (AMD), polypoidal choroidal vasculopathy (PCV), idiopathic choroidal neovascularization (CNV), proliferative diabetic retinopathy (PDR), diabetic macular edema (DME), macular edema secondary to branch (BVOME) and central (CVOME) retinal vein occlusion. IOP was measured in all patients using rebound tonometer at 7 preset time points perioperatively. Additionally, based on the administered medication, the eyes were classified into three treatment groups, including dexamethasone intravitreal implant (IVO), intravitreal conbercept (IVC), and intravitreal ranibizumab (IVR). To compare IOP values at various time points across groups, we employed one-way ANOVA, independent sample t-test or χ ² test and multivariate logistic regression analysis.

Results: Peak IOP values across all groups were observed at 40s, and 5min after intravitreal injection. Statistical differences in IOP were detected at the 5min among the 7 indication groups (F=2.50, P=0.029). When examing the impact of medications, the IVO group exhibited lower average IOP values at both 40s and 5min compared to the IVC and IVR groups (P<0.001; P=0.007). The IOP values at 40s and 5min were significantly higher in BVOME and CVOME group compared to non-retinal vein occlusion-secondary macular edema (RVOME) group (P<0.001). Multivariate logistic regression analysis further confirmed that IOP measurement at 40s was significantly higher in CVOME group than in non-RVOME group (OR=1.64, 95%CI: 1.09-2.47; P=0.018).

Conclusion: Needle size plays a crucial role in the transient changes of IOP following intravitreal injection. Before administering intravitreal injection to patients with central retinal vein occlusion, it is essential to exclude any underlysing causes of increased IOP.

Aim: To report incidence, indications, and visual outcomes of intraocular lens (IOL) exchange/explantation surgery.

Methods: Retrospective analysis of 60 eyes requiring IOL exchange/explantation surgery between 1^st January 2017 and 31^st December 2022. The overall outcomes as well as comparison between the trainee versus experienced surgeons were analyzed.

Results: Out of 39 778 cataract surgeries (with no preexisting ocular co-morbidities) during a six-year period (2017-2022), 60 (0.15%) needed IOL exchange/explantation. Surgeons-under-training performed 36/60 cases (60%) while 24/60 (40%) were by experienced surgeons. The commonest indication was subluxated IOL in 26 (43.3%), followed by dislocated IOL in 20 (33.3%), postoperative refractive surprise in 7 (11.6%), IOL induced uveitis in five and broken haptic in two eyes. Twenty-four (40%) eyes had intraoperative complications during primary surgery. Posterior chamber IOL (PCIOL) was the commonest secondary IOL in 21 (35%) eyes, scleral fixated in 20 (31.6%), anterior chamber IOL (ACIOL) in 13 (21.6%), iris fixated IOL in three (5%) and three eyes (5%) were left aphakic. The mean time between primary and secondary surgery was 168d (168±338.8). Best corrected visual acuity (BCVA) of >20/60 was obtained in 43 eyes (71.66%), 20/80-20/200 in 14 (23.33%), 20/250 in two and hand movements in one. No statistically significant difference in visual outcome was noted at post-op one month between trainees versus experienced surgeons (UCVA 0.45±0.29 vs 0.53±0.32, P=0.20, BCVA 0.34±0.25 vs 0.37±0.26, P=0.69).

Conclusion: IOL subluxation as the commonest indication and posterior capsular rupture is the commonest intraoperative risk factor. This complication can be effectively addressed with selection of the appropriate secondary IOL achieving good visual outcomes in over 70% of patients.

Aim: To determine the smartphone use patterns and effects of smartphone use on accommodation and convergence system of the eyes among Malaysian teenagers.

Methods: A total of 62 participants aged between 13 and 17y were involved. A self-administered questionnaires containing 12 items was used to evaluate the smartphone usage patterns. This was followed by an eye examination, involving a battery of accommodation and convergence assessments before and after the smartphone use. The data analysis comprised descriptive statistics, paired t-test, and correlation coefficients.

Results: The use of smartphones is at a high level and at an optimal distance daily, with more than 6h a day watching video films, games, and completing school projects. Majority of the participants not reported eye strain factors and eye prescription changes with the use of digital devices. The use of a smartphone continuously for 30min was found to significantly decrease amplitude of accommodation, accommodative facility, and positive relative accommodation (P<0.001). Meanwhile, the lag of accommodation parameters and negative relative accommodation increased with the use of smartphones significantly (P<0.001). The near point of convergence (NPC) and distance and near negative fusional vergence decreased significantly (P<0.001). The NPC parameter was found to have a weak negative association with the frequency of smartphone use (R=-0.276, P<0.05).

Conclusion: Frequent and continuous use of smartphones have increased visual stress and resulted in weakness of accommodation and vergence functions. Therefore, frequent break is mandatory when using a smartphone and appropriate visual hygiene, the 20-20-20 rule (every 20min, view something 20 feet away for 20s) are required during smartphone use to maintain visual function.

Aim: To compare the differences of choroidal neovascularization (CNV) measurements between swept-source and spectral-domain optical coherence tomography angiography (SS-OCTA and SD-OCTA) in neovascular age-related macular degeneration (nAMD) and the imaging reliability of the two devices.

Methods: Prospective comparative study. SS-OCTA and SD-OCTA were used to scan the same eye with the modes of 3×3 and 6×6 mm² centered on the neovascularization. Only qualified images were chosen and the border of CNV was manually delineated by two graders independently. The area of CNV (ACNV), vascular perfusion density (PD), and vessel length density (VLD) within the delineation were calculated using Image J. The differences of CNV measurements between the two OCTA devices were compared using Bland-Altman analysis. The agreement between the two graders on the measurements of each device was compared using the intraclass correlation coefficient (ICC).

Results: A total of 18 patients (22 eyes) with nAMD were included. The measurements of ACNV, PD, and VLD were 7.247±4.586 and 4.901±3.741 mm², 43.202±9.636 and 34.904±10.489, 6.339±1.228 and 5.908±1.741 mm^-1 for SS-OCTA and SD-OCTA, respectively. The differences between the two devices were 2.346±3.030 mm² (Z=-3.782, P<0.0001), 8.298±14.160 (Z=-2.419, P=0.016), and 0.431±2.114 mm^-1 (Z=-0.828, P=0.408) for ACNV, PD and VLD, respectively. The ICC between two graders were 0.893 (P<0.001), 0.902 (P<0.001), 0.885 (P<0.001) for ACNV, PD, VLD in SS-OCTA, and 0.971 (P<0.001), 0.976 (P<0.001), 0.973 (P<0.001) in SD-OCTA, respectively.

Conclusion: Both OCTA devices have high imaging reliability. Compared with SD-OCTA, SS-OCTA has a larger ACNV measurements, but doesn't show better resolution of internal vessels of CNV and well signal strength.

Aim: To evaluate the clinical outcomes after subsequent implantation of a new intrastromal corneal ring segment (ICRS) model followed by an additional short-arc ICRS implant in keratoconus patients.

Methods: This retrospective single-arm cohort study evaluated 25 eyes of 21 keratoconus patients implanted with the new ICRS followed by 140-arch length ICRS (140-ICRS) implantation. Uncorrected distance visual acuity (UDVA, logMAR), corrected distance visual acuity (CDVA, logMAR), sphere, astigmatism, keratometry, spherical equivalent (SE), and asphericity were compared preoperatively and postoperatively after both ICRS implantation.

Results: The average follow-up time after 140-ICRS implantation was 6.40±2.20mo. The mean preoperative UDVA improved from 1.27±0.14 preoperative to 0.52±0.26 after both ICRS implantation (P=0.03). The mean sphere value reduced from -5.34±2.74 preoperatively to -2.06±1.84 postoperatively (P<0.001) after the first ICRS implantation and decreased to -0.59±1.54 postoperatively (P<0.001) after 140-ICRS implantation. The mean preoperative astigmatism was -3.72±1.56 and improved to -2.82±1.08 after the first ICRS implantation, and following the 140-ICRS implantation, the mean astigmatism was -1.37±0.67 (P=0.001). The SE and asphericity changes were statistically significant (P<0.001). The researchers did not find intraoperative or postoperative complications for both procedures.

Conclusion: The combination of 2 different ICRSs can efficiently regularize the cornea, reduce the SE, and improve visual acuity in selected keratoconus patients.

Aim: To understand the molecular connectivity between the intraocular pressure (IOP) and glaucoma which will provide possible clues for biomarker candidates.

Methods: The current study uncovers the important genes connecting IOP with the core functional modules of glaucoma. An integrated analysis was performed using glaucoma and IOP microarray datasets to screen for differentially expressed genes (DEGs) in both conditions. To the selected DEGs, the protein interaction network was constructed and dissected to determine the core functional clusters of glaucoma. For the clusters, the connectivity of IOP DEGs was determined. Further, enrichment analyses were performed to assess the functional annotation and potential pathways of the crucial clusters.

Results: The gene expression analysis of glaucoma and IOP with normal control showed that 408 DEGs (277 glaucoma and 131 IOP genes) were discovered from two GEO datasets. The 290 DEGs of glaucoma were extended to form a network containing 1495 proteins with 9462 edges. Using ClusterONE, the network was dissected to have 12 clusters. Among them, three clusters were linked with three IOP DEGs [N-Myc and STAT Interactor (NMI), POLR3G (RNA Polymerase III Subunit G), and APAF1-interacting protein (APIP)]. In the clusters, ontology analysis revealed that RNA processing and transport, p53 class mediators resulting in cell cycle arrest, cellular response to cytokine stimulus, regulation of phosphorylation, regulation of type I interferon production, DNA deamination, and cellular response to hypoxia were significantly enriched to be implicated in the development of glaucoma. Finally, NMI, POLR3G, and APIP may have roles that were noticed altered in glaucoma and IOP conditions.

Conclusion: Our findings could help to discover new potential biomarkers, elucidate the underlying pathophysiology, and identify new therapeutic targets for glaucoma.