In recent years, the subthreshold micropulse laser is a kind of laser mode which is characterized by long intermittence. It achieves effective therapeutic effect while minimizes the damage to tissues. At present, it has been used to treat diabetic macular edema. Early studies suggested that the laser selectively acts on retinal pigment epithelial cells to reduce macular edema by regulating the expression of inflammatory biomarkers, growth factors, heat shock proteins and other substances. In recent years, with the development of research, more and more emphasis has been placed on the role of retinal glial cells. Müller cells are also considered as one of the target cells affected by micropulse laser, but there is no evidence of direct or indirect effects of micropulse laser on Müller cells. In the near future, it is expected that we will have more clinical evidence to confirm the target cells of the micropulse laser, which may be further confirmed by in vitro experiments through Müller cells or Müller cells co-cultured with retina pigment epithelium cells, so as to make a more detailed statement on the mechanism of it.
Idiopathic intracranial hypertension (IIH) is a neurological disorder that causes an unexplained increase in intracranial pressure. Its main clinical manifestations include chronic headache, visual impairment, and typical unilateral or bilateral disk edema found on fundus examination. The diagnosis of IIH depends on the exclusion of other diseases that may cause increased intracranial pressure and further confirmation by systemic and neurological imaging. Current treatment strategies for IIH include lifestyle adjustments for weight loss, pharmacological interventions, and surgery if necessary to reduce intracranial pressure and relieve patient-related symptoms. Maximum protection and restoration of visual function. In the future, it is necessary to further improve the IIH diagnostic process and criteria to guide personalized treatment and prognosis judgment. The effective use of artificial intelligence technology for image segmentation and combined image omics analysis is expected to improve the accuracy of IIH intelligent diagnosis, achieve earlier and more accurate disease detection, and provide patients with a more personalized treatment path.
ObjectiveTo analyze the protein expression changes in the retina of non-arteritic anterior ischemic optic neuropathy (NAION) in rats.MethodsThe rat NAION (rNAION) model was established by Rose Bengal and laser. Twenty Sprague-Dawley rats were randomly divided into 4 groups, the normal control group, the laser control group, the RB injection control group, and the rNAION model group, with 5 rats in each group. The right eye was used as the experimental eye. The retina was dissected at the third day after modeling. Enzyme digestion method was used for sample preparation and data collection was performed in a non-dependent collection mode. The data were quantitatively analyzed by SWATH quantitative mass spectrometry, searching for differential proteins and performing function and pathway analysis.ResultsCompared with the other three control groups, a total of 184 differential proteins were detected in the rNAION group (expression fold greater than 1.5 times and P＜0.05), including 99 up-regulated proteins and 85 down-regulated proteins. The expressions of glial fibrillary acidic protein, guanine nucleotide binding protein 4, laminin 1, 14-3-3γ protein YWHAG were increased. Whereas the expressions of Leucine-rich glioma-inactivated protein 1, secretory carrier-associated membrane protein 5, and Clathrin coat assembly protein AP180 were decreased. The differential proteins are mainly involved in biological processes such as nerve growth, energy metabolism, vesicle-mediated transport, the regulation of synaptic plasticity, apoptosis and inflammation. Pathway enrichment analysis showed that PI3K-Akt signaling pathway and complement and thrombin reaction pathway was related to the disease.ConclusionThe protein expressions of energy metabolism, nerve growth, synaptic vesicle transport and PI3K-Akt signaling pathway can regulate the neuronal regeneration and apoptosis in NAION.
Objective To observe the effect of different macular edema on the area of foveal avascular zone (FAZ) and its correlation in eyes with branch retinal vein occlusion (BRVO). Methods A total of 72 patients (75 eyes) diagnosed with BRVO were included in the study. There were 40 patients males (42 eyes) and 32 females (33 eyes), with the mean age of (56.00±9.96) years. All the eyes were examined by BCVA, intraocular pressure, slit lamp microscope combined with preset lens, fundus color photography and optical coherence tomography angiography (OCTA). BRVO patients were divided into two groups according to the degree of macular edema: group M300 that was CRT ≥300 μm (38 patients, 39 eyes) and group L300 that was CRT＜300 μm (34 patients, 36 eyes). The macular angiography scan protocol covered a 3 mm×3 mm area. The parameters of macular were measured by the built-in measurement software of the system: (1) area of FAZ, perimeter of FAZ (PERIM), avascular index of FAZ (AI), vascular density within a width of 300 μm around the FAZ region (FD-300); (2) central retinal thickness (CRT); (3) vascular density (VD): the superficial central fovea vascular density (SFVD), the deep central fovea vascular density (DFVD), the superficial hemi-macular vascular density (SHVD), the deep hemi-macular vascular density (DHVD). Spearman test was used to test the correlation between FAZ area and other parameters in each group. Results The FAZ area in group M300 and L300 were 0.388±0.166 mm2 and 0.596±0.512 mm2, respectively. The results of Spearman test showed that the FAZ area of group M300 was positively correlated with PERIM and AI (r=0.932, 0.591; P=0.000, 0.000), negatively correlated with SFVD, DFVD and SHVD (r=−0.490, −0.429, −0.339; P=0.002, 0.006, 0.035). But there was no significant negative correlation between FAZ area and FD-300, CRT, DHVD in group M300 (r=−0.129, −0.053, −0.400; P=0.435, 0.749, 0.395). The FAZ area in group L300 was positively correlated with PERIM and AI (r=0.887, 0.633; P=0.000, 0.000), negatively correlated with SFVD, DFVD, SHVD and DHVD (r=−0.413, −0.643, −0.630, −0.370, −0.411; P=0.012, 0.000, 0.000, 0.026, 0.013). But there was no significant positive correlation between FAZ area and FD-300 in group L300 (r=0.093, P=0.590). Conclusion FAZ area varies with the degree of macular edema. The degree of macular edema is higher, the FAZ area is smaller. FAZ area is positively correlated with PERIM and AI significantly, and negatively correlated with SFVD, DFVD and SHVD.