ObjectiveTo predict as well as bioinformatically analyze the target genes of has-miR-451. MethodsmiRBase, miRanda, TargetScan and PicTar were used to predict the target genes of hsa-miRNA-451. The functions of the target genes were demonstrated by Gene Ontology and pathway enrichment analysis. P < 0.05 was set as statistically significant. Results18 target spots of hsa-miRNA-451 were predicted by 3 databases or prediction software at least. The functions of the target genes were enriched in proliferation and development of epithelial cells and regulation of kinase activity (P < 0.05). Pathway analysis showed that transforming growth factor-beta signaling pathway, mitogen-activated protein kinase signaling pathway, epidermal growth factor signaling pathway, Wnt signaling pathway and mammalian target of rapamycin signaling pathway were significantly enriched (P < 0.05). Conclusionhsa-miRNA-451 might be involved in various signaling pathways related to proliferation and development of epithelial cells.
ObjectiveTo screen compounds or drugs can affect the hypoxia induced-gene expression of retinal vascular endothelial cell based on gene expression microarrays and connectivity map (CMAP) technology. MethodsTotally 326 up-regulated and down-regulated genes of hypoxic human embryonic retinal microvascular endothelial cells minduced by cobalt chloride in the previous study were converted into query signature format documents. Gene profile of the disease characteristics was then compared with that of control in CMAP website database, positive and negative compounds related to retinopathy of prematurity (ROP) were finally screened out. Results44 and 18 compounds or drugs have positive and negative relationship with ROP respectively by searching CMAP database with differentially expressed genes. Ciclopirox, cobalt chloride, gossypol and withaferin A have positive relationship with ROP. Cyclic adenosine monophosphate, harmalol, naringin and probenecid have a negative effect on ROP. ConclusionsCiclopirox, cobalt chloride, gossypol and withaferin A have a positive effect on ROP. However, cyclic adenosine monophosphate, harmalol, naringin and probenecid have a negative effect.
Objective To establish a risk prediction model of diabetic retinopathy (DR) for type 2 diabetic patients (T2DM). Methods A total of 315 T2DM patients (600 eyes) were enrolled in the study. There were 132 males (264 eyes) and 183 females (366 eyes). The mean age was (67.28±12.17) years and the mean diabetes duration was (10.86±7.81) years. The subjects were randomly assigned to model group and check group, each had 252 patients (504 eyes) and 63 patients (126 eyes) respectively. Some basic information including gender, age, education degree and diabetes duration were collected. The probable risk factors of DR including height, weight, blood pressure, fasting glucose, glycosylated hemoglobin (HbA1c), blood urea, serum creatinine, uric acid, triglyceride, total cholesterol, high-density lipoprotein, low density lipoprotein cholesterol and urinary protein. The fundus photograph and the axial length were measured. Multivariate logistic regression was used to analyze the correlative factors of DR and establish the regression equation (risk model). Receiver operating characteristic (ROC) curves were used to determine the cut-off point for the score. The maximum Youden Index was used to determine the threshold of the equation. The check group was used to check the feasibility of the predictive model. Results Among 504 eyes in the model group, 170 eyes were DR and 334 eyes were not. Among 126 eyes in the check group, 45 eyes were DR and 81 eyes were not. Multivariate logistic regression analysis revealed that axial length [β=–0.196, odds ratio (OR)=0.822,P＜0.001], age (β=-0.079,OR=0.924,P＜0.001), diabetes duration (β=0.048,OR=1.049,P=0.001), HbA1c (β=0.184,OR=1.202,P=0.020), urinary protein (β=1.298,OR=3.661,P＜0.001) were correlated with DR significantly and the simplified calculation of the score of DR were as follows:P=7.018–0.196X1–0.079X2+0.048X3+0.148X4+1.298X5 (X1= axial length, X2=age, X3=diabetes duration, X4=glycosylated hemoglobin, X5= urinary protein). The area under the ROC curve for the score DR was 0.800 and the cut-off point of the score was -1.485. The elements of the check group were substituted into the equation to calculate the scores and the scores were compared with the diagnostic threshold to ensure the patients in high-risk of DR. The result of the score showed 84% sensitivity and 59% specificity. ROC curve for the score to predict DR was 0.756. Conclusion Axial length, age, diabetes duration, HbA1c and urinary protein have significant correlation with DR. The sensitivity and specificity of the risk model to predict DR are 84.0% and 59.0% respectively. The area under the ROC curve was 0.756.
Objective To compare the predicted efficiency of macular hole closure index (MHCI) calculated by 2 different methods for postoperative anatomical outcomes after idiopathic macular hole (MH) surgery. Methods This is a prospective exploratory clinical study. A total of 63 patients (63 eyes) with idiopathic MH, who received vitrectomy, inner limiting membrane peeling and gas tamponade, were enrolled in this study. All the patients received optical coherence tomography (OCT) examination at each visit to measure the MHCI using the formula MHCI=（M+N）/BASE, M and N is the distance from outer limiting membrane break points to the beginning points of detached photoreceptor from retinal pigment epithelium of both side of the hole, respectively. BASE is the length of MH base. MHCI1 was measured by built-in caliper of OCT software, MHCI2 was measured by ImageJ software. The minimum macular diameter (MHD) was measured by built-in caliper of OCT software. Based on the OCT images, the anatomical outcomes were classified grade A (bridge-like shape closure), grade B (complete closure) and grade C (poor closure). Grade A and B are considered as good closure, grade C as poor closure. Patients were followed up at 3, 6 and 12 months after surgery. The closure grades at last visit were the final outcome. The relationship between MHCI1, MHCI2 and closure grades was analyzed. And the predicted efficiency of MHD, MHCI1 and MHCI2 for anatomical outcomes after the surgery was studied. Results The mean MHCI1 was 0.68±0.21 (0.30-1.35), MHCI2 was 0.95±0.26 (0.41-1.55), and MHD was (476.24±210.18) μm (127-956 μm). MHCI1 and MHCI2 were both negative correlated with the closure grades (r=−0.665, −0.691; P＜0.001). The receiver operating characteristic (ROC) curve analysis of MHCI1, MHCI2 and MHD for the prediction of good or poor closure showed that area under the curve (AUC) was 0.928, 0.957 and 0.916 respectively, and 0.505, 0.67 and 559 μm were set as the lower cut-off value. The sensitivity was 96.2%, 92.3% and 90.9% respectively, and specificity was 81.8%, 72.7% and 76.9% respectively. Accordingly, the ROC curve analysis for the prediction of grade A or B closure showed that AUC was 0.840, 0.847 and 0.653 respectively, and 0.705, 0.965 and 364 μm were set as the upper cut-off value. The sensitivity was 80.0%, 82.9%, 63.4% respectively and specificity was 75.0%, 85.7%, 65.9%. Conclusion MHCI1 and MHCI2, measured by built-in caliper of OCT software or ImageJ software, both have good predictive efficiency for the anatomical outcomes of MH surgery.
ObjectiveTo establish an appropriate diabetic retinopathy (DR) risk assessment model for patients with type 2 diabetes mellitus (T2DM).MethodsA retrospective clinical analysis. From January 2016 to December 2017, 753 T2DM patients in the Third Affiliated Hospital of Southern Medical University were analyzed retrospectively. Digital fundus photography was taken in all patients. Fasting plasma glucose (FPG), HbA1c, total bilirubin (TB), blood platelet, total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-c), low density lipoprotein cholesterol (LDL-c), apolipoprotein-A (apoA), apolipoprotein-B (apoB), serum creatinine, blood urea nitrogen (BUN), blood uric acid, fibrinogen (Fg), estimated glomerular filtration (eGFR) were collected. The patients were randomly assigned to model group and testify group, each had 702 patients and 51 patients respectively. Logistic regression was used to screen risk factors of DR and develop an assessment scale that can be used to predict DR. Goodness of fit was examined using the Hosmer-Lemeshow test and the area under the receiver operating characteristic (ROC) curve.ResultsAmong 702 patients in the model group, 483 patients were DR, 219 patients were NDR. The scores for DR risk were duration of diabetes ≥4.5 years, 4 points; total bilirubin ＜6.65 mol/L, 2 points; apoA≥1.18 g/L, 2 points; blood urea≥6.46 mmol/L, 1 points; HbA1c ≥7.75%, 2 points; HDL-c＜1.38 mmol/L, 2 points; diabetic nephropathy, 3 points; fibrinogen, 1 point. The area under the receiver operating characteristic curve was 0.787. The logistic regression analysis showed that the risk factors independently associated with DR were duration of diabetes (β=1.272, OR=3.569, 95%CI 2.283−5.578, P＜0.001), TB (β=0.744, OR=2.104, 95%CI 1.404−3.152, P＜0.001, BUN (β=0.401, OR=1.494, 95%CI 0.996−2.240, P=0.052), HbA1c (β=0.545, OR=1.724, 95%CI 1.165−2.55, P=0.006), HDL-c (β=0.666, OR=1.986, 95%CI 1.149−3.298, P=0.013), diabetic nephropathy (β=1.151, OR=3.162, 95%CI 2.080−4.806, P=0.013), Fg (β=0.333, OR=1.396, 95%CI 0.945−2.061, P=0.094). The risk model was P=1/[1+exp−(−3.799+1.272X1+0.744X2+0.769X3+0.401X4+0.545X5+0.666X6+1.151X7+0.333X8)]. X1= duration of diabetes, X2=TB, X3=apoA, X4=BUN, X5=HbA1c, X6=HDL-c, X7=diabetic nephropathy, X8=Fg. The area under the ROC curve was 0.787 and the Hosmer-Lemeshow test suggested excellent agreement (χ2=10.125, df=8, P=0.256) in model group. The area under the ROC curve was 0.869 and the Hosmer-Lemeshow test suggested excellent agreement (χ2=5.345, df=7, P=0.618) in model group.ConclusionThe area under the ROC curve for DR was 0.787. The duration of diabetes, TB, BUN, HbA1c, HDL-c, diabetic nephropathy, apoA, Fg are the risk factors of DR in T2DM patients.
ObjectiveTo observe the changes in choroidal characteristics of polypoid choroidal vascular disease (PCV) eyes after intravitreal injection of anti-VEGF drugs, and to preliminarily evaluate its predictive effect on the response of PCV anti-VEGF drugs.MethodsA retrospective clinical study. From January 2015 to May 2020, 63 eyes (63 PCV patients) diagnosed in NanJing Medical University Eye Hospital were included in the study. There were 39 eyes (39 males) and 24 eyes (24 females); all were monocular, with the average age of 62.53±6.05 years old. All eyes were treated with intravitreal injection of ranibizumab, and those with poor response after treatment were treated with photodynamic therapy (PDT) combined with anti-VEGF drugs. Among the 63 eyes, 38 eyes did not respond or responded poorly after treatment, and 25 eyes responded well. Based on response results, patients were divided into the poor response group and the good response group. The confocal laser synchronous angiography system (HRA+OCT) enhanced depth scanning technology of Herdelberg (Germany) was used to measure the foveal choroid thickness (SFCT) and the choroidal large vessel thickness (LCVT). The choroidal hyperpermeability (CVH) was judged based on the ICGA inspection results. CVH: In the middle and late stages (10-15 min after indocyanine green injection), the choroid of the posterior pole can be seen with multifocal strong fluorescence with blurred edges. The SFCT and LVCT changes of the two groups of eyes before treatment and 6 months after treatment in the good response group, and 6 months after the treatment of the poor response group combined with PDT were observed. SFCT and LCVT were compared with t test before and after treatment.ResultsBefore treatment, of the 63 eyes, 38 eyes (60.3%) with CVH manifestations, of which 5 eyes (20.0%, 5/25) and 33 eyes (86.8%, 33/ 38). The SFCT and LCVT of the good response group and the poor response group were 244.16±23.74, 152.76±22.70 μm and 367.34±35.21, 271.84±35.42 μm, respectively. The comparison of SFCT and LVCT between the two groups of eyes before treatment showed statistically significant differences (t=7.24, 6.87; P=0.01, 0.01). Six months after treatment, the SFCT and LVCT of the eyes in the good response group were 241.04±32.56 and 150.44±23.45 μm, respectively; compared with those before treatment, the difference was not statistically significant (t=5.35, 8.64; P=0.08, 0.07). Six months after the poor response group combined with PDT treatment, SFCT and LCVT were 311.63±25.36 and 220.11±41.30 μm respectively; compared with those before treatment, the difference was statistically significant (t=6.84, 9.23; P=0.02, 0.01). After treatment, the CVH manifestations of all the eyes did not change significantly, but the eyes of the poor response group were treated with PDT, and the multifocal strong fluorescence was significantly weakened.ConclusionsPCV thick choroid is mostly caused by abnormal thickening of choroidal large vessels. Eyes with thick choroid and CVH have poor response to anti-VEGF drug therapy alone, and combined PDT therapy may be more suitable for this type of patients.