Objective To observe the amount of endothelial progenitor cells (EPCs) at different stages of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (DM). Methods Sixty patients with type 2 DM were divided into no DR (NDR) group, non-proliferative DR (NPDR)group and proliferative DR (PDR)group according to the examination of fundus and fundus fluorescein angiography, 20 patients in each group. Twenty healthy people were collected as the control group. 6 ml blood samples were taken from all the subjects, and then the EPCs contents in peripheral blood were detected by flow cytometry. Results The EPCs contents in peripheral blood of the control, NDR, NPDR and PDR group were (0.0179plusmn;0.0047)%, (0.0151plusmn;0.0086)%, (0.0123plusmn;0.1137)%, (0.0316plusmn;0.0 294)%. The EPCs contents in peripheral blood of the PDR group was significantly higher than those in others (chi;2=43.780, P＜0.05); the EPCs contents in peripheral blood of the NDR and NPDR group were slightly lower than that in the control group (chi;2=5.244, P=0.73); the EPCs contents in peripheral blood of the NPDR group was lower than that in the NDR group (chi;2=6.016, P=0.12). Conclusion The EPCs contents in peripheral blood decreases in NDR, NPDR patients, while significantly increases in PDR patients.
ObjectiveTo observe and analyze the correlation between macular microvascular parameters and urinary albumin to creatinine ratio (UACR) in patients with type 2 diabetes mellitus (T2DM). MethodsA cross-sectional study. From October 2017 to April 2018, 100 eyes of 100 patients (T2DM) and 27 eyes of 27 healthy controls (the control group) were enrolled in Xuzhou First People’s Hospital. All subjects underwent anterior segment examination via slit-lamp biomicroscopy, dilated fundus examination, 7-field fundus photographs, OCT angiography (OCTA), the fasting glucose test, glycosylated hemoglobin (HbA1c), urinary albumin, urinary creatinine and UACR levels determination. Height and weight measurement were taken for calculating body mass index (BMI). Diabetic retinopathy was ruled out by fundoscopic examinations and 7-field fundus photographs in T2DM patients. According to the UACR, patients in the T2DM group were subdivided into A1 group (UACR< 30 mg/g), A2 group (UACR 30-300 mg/g), and A3 group (UACR>300 mg/g), with 38 cases and 38 eyes respectively , 40 cases with 40 eyes, 22 cases with 22 eyes. A 6 mm×6 mm scanning area centered on the macular fovea were scanned for right eye using a frequency domain OCTA instrument, which were divided into three concentric circles centered on the macular fovea by the software automatically. The foveal zone was defined as a circular area measuring 1 mm in diameter, the parafoveal zone was described as a middle circle area measuring 1-3 mm in diameter, and the perifoveal zone was an outer circle area measuring 3-6 mm in diameter. The vessel density of superficial capillary plexus (SCP) and deep capillary plexus (DCP), foveal avascular area (FAZ) and perimeter (PERIM), non-circularity index (AI) were measured. The correlation between the macular vessel density, FAZ and UACR was analyzed by Spearman correlation analysis. ResultsA1 group, A2 group, A3 group, and normal control group. The macular area SCP and DCP (F=13.722, 5.644), foveal area (F=4.607, 4.719), parafoveal area (H=23.142, F=2.904), the blood flow density of the area around the fovea (F=12.292, H=10.946), the difference was statistically significant (P＜0.05); with the increase of UACR, the blood flow density of each area of SCP and DCP showed a downward trend. The results of correlation analysis showed that the blood flow density of the whole SCP, parafoveal area, and surrounding area of T2DM patients was negatively correlated with UACR (r=－0.376, －0.240, －0.364, －0.347, P＜0.05). There were no correlation among fasting plasma glucose, HbAlc and UACR (r=0.179, 0.085, P＞0.05). There were no correlation among blood flow density in BMI, SCP foveal area, DCP and UACR (|r|＜0.3, P＞0.05). ConclusionThe whole, parafovea and perifovea vessel density values of SCP in T2DM eyes without DR are negatively correlated with UACR.
Objective To explore the related risk factors for diabetic retinopathy (DR) in type 2 diabetes. Methods The clinical data of 412 type 2 diabetes patients, diagnosed between 2003 and 2010, were analyzed retrospectively. The diagnosis of DR and proliferative diabetic retinopathy (PDR) was confirmed by ophthalmoloscopy and fundus fluorescein angiography. Glycated hemoglobin A1c, glucose, insulin, and Cpeptide of fasting plasma, and 1, 2 and 3 hours postprandial plasma were measured. According to the abovementioned data, get the fluctuation of glucose, insulin and C-peptide of 1, 2 and 3 hour postprandial plasma. Results The morbidity of DR and PDR increased following the longer disease duration. Age, diabetic duration，body mass index (BMI), hypertension grade, HbA1C, fasting plasma insulin and C-peptide, 2 and 3 hours postprandial plasma glucose, 1 and 2 hours postprandial plasma insulin, 1, 2 and 3 hour postprandial plasma C-peptide, 1, 2 and 3 hours postprandial plasma glucose, insulin and C-peptide fluctuation are different statistically among non-DR group, non-PDR group and PDR group (P＜0.05). 3 hours postprandial plasma glucose and fasting plasma insulin were risk factors of DR (P＜0.05). Conclusions Postprandial plasma glucose and fasting plasma insulin were risk factors of DR. Nevertheless, postprandial insulin, fasting and postprandial C-peptide, postprandial plasma glucose, insulin and C-peptide fluctuation were useful for DR diagnosis.
ObjectiveTo observe the changes in the structure and function of the retina in diabetic patients, and preliminarily explore the changes in the characteristics of neuropathy and microvascular damage in different degrees of diabetic retinopathy (DR). MethodsA prospective controlled study. From May to December 2020, 63 eyes of 63 patients with type 2 diabetes who were recruited from the Department of Ophthalmology of Shandong Provincial Hospital and 40 healthy volunteers with age and sex matching in the same period (control group) were included in the study. All subjects underwent optical coherence tomography angiography (OCTA) and portable non-mydriatic visual electrophysiological diagnosis system RETeval. OCTA was used to measure the thickness of the retinal nerve fiber layer (pRNFL) around the optic disc, the blood flow density of theradial peripapillary capillary (RPC) around the optic disc, and the thickness of the macular ganglion cell complex (GCC). The "DR evaluation plan" mode of the RETeval device was used to perform flash electroretinogram examination, and the "DR evaluation score" measured by the system was recorded. According to the DR grading standard established in the early treatment of DR research, DR was classified. Diabetic patients were divided into non-DR (non-DR) group, mild to moderate non-proliferative DR (mNPDR) group, and severe non-proliferative DR (sNPDR) group , Proliferative DR (PDR) group, with 12, 16, 18, and 17 eyes respectively. The comparison of pRNFL thickness, GCC thickness, RPC blood flow density and "DR assessment score" between groups was performed by one-way analysis of variance; the correlation between pRNFL thickness and RPC blood flow density was analyzed by Pearson correlation analysis. ResultsCompared with the control group, the overall, upper and lower thickness of the macular GCC of the affected eyes in different degrees of DR groups were significantly thinner, and the difference was statistically significant (F=13.560, 15.840, 5.480; P<0.05). Compared with the control group, the overall pRNFL (F=6.120), upper part (F=6.310), lower part (F=5.330), upper nose (F=7.350), lower nose (F=2.690), the upper nasal side (F=4.780), the upper temporal side (F=3.710), and the lower temporal side (F=3.750) became thinner, the difference was statistically significant (P<0.05). Correlation analysis results showed that the whole optic disc, upper part, lower part, upper nose, upper nasal side, lower nasal side, and lower temporal RPC blood flow density were positively correlated with pRNFL thickness (r=0.260, 0.256, 0.275, 0.489, 0.444, 0.542, 0.261; P<0.01). The "DR evaluation scores" of the eyes in the control group, non-DR group, mNPDR group, sNPDR group, and PDR group were 12.71±5.62, 22.18±3.77, 24.68±2.41, 24.98±2.78, 29.17±7.98 points; the DR lesions were more severe, the evaluation score were higher, and the difference was statistically significant (F=1.535, P<0.01). ConclusionCompared with the control group, the macular GCC, pRNFL thickness and RPC blood flow density of diabetic patients are significantly reduced; the "DR evaluation score" is increased, and it is related to the severity of DR.
Objective To determine the clinical efficacy of probucol in patients with diabetic macular edema (DME) and elevated serum lipids after focal/grid laser photocoagulation. Methods A prospective randomized controlled study included 48 type 2 diabetic patients with DME and dyslipidemia which were randomly divided into three groups. For patients with bilateral disease only the more severe eye was included. All patients were subjected to strict metabolic and blood pressure control during enrollment. All cases received macular laser photocoagulation. Besides, sixteen patients in group A were treated with probucol, 16 members in group B with atorvastatin and 16 members in group C were not treated with any lipid-lowering therapy for about three months. The outcome measurements were status of macular edema and hard exudates, visual acuity, foveal thickness, serum lipids and urine 8-hydroxydeoxyguanosine (8-OHdG) during the three months. Results The study included 20 men and 28 women with noninsulin dependent diabetes mellitus who could achieve good metabolic and blood pressure control within three months of inclusion in the study. Thirteen of 16 patients in group A, twelve of 16 patients in group B and five of 16 patients in group C showed reduction in hard exudates. Regression of macular edema was seen in twelve patients in group A, 11 in group B and eight in group C (χ2=2.368,P＞0.05). The difference of foveal thickness in group A, B and C was statistically significant (t=4.929, 4.669; P=0.000). Nine patients in group A, eight in group B and six in group C showed improving of visual acuity (χ2=1.169,P＞0.05). Three months after treatment, triglycerides (TG) (t=7.954, 6.832; P＜0.05), total cholesterol (TC) (t=6.643, 5.368; P＜0.05) and low-density lipoprotein cholesterol (LDLC) (t=3.279, 3.835; P＜0.05) decreased in group A and group B but not in group C, and high-density lipoprotein cholesterol showed no significant difference in the three groups. 8-OHdG decreased gradually during the first and third month in group A and group B but not in group C. In the first month post treatment, 8-OHdG showed no difference between group A and group B. In the third month, the 8-OHdG was lower in group A than group B, and the difference was statistically significant (t=2.947,P＜0.05). ConclusionsIn type 2 diabetes patients with DME and dyslipidemia, oral probucol can reduce the severity of hard exudates and macular edema, improve the visual acuity, and inhibit the levels of TG, TC, LDLC and 5-OHdG. The effect of probucol was similar to atorvastatin. Probucol could be an adjunct treatment of those patients.
ObjectiveTo investigate the risk factors for retinopathy in type 2 diabetes patients. MethodsA total of 112 patients with type 2 diabetes treated between December 2009 and December 2012 were divided into two groups. Fifty-two patients had no diabetic retinopathy (NDR group) and 60 had diabetic retinopathy (DR group). Blood pressure, blood lipids, and blood glucose were detected to analyze the correlation of retinopathy with disease course, blood pressure, blood lipid, and blood sugar. ResultsDisease course was longer and blood glucose level was higher in DR group than in NDR group (P<0.05). Logistic regression analysis results showed that the incidence of retinopathy was correlated with blood glucose[OR=1.490, 95% CI (1.123, 1.976), P=0.006] and disease course[OR=2.207, 95% CI (1.579, 3.085), P=0.000]. ConclusionBlood glucose and disease course may be the risk factors for DR. Active control of the blood glucose can be benefit for the prevention and treatment of DR.
ObjectiveTo observe the serum vascular endothelial growth factor (VEGF), apelin and heme oxygenase-1 (HO-1) levels in patients with type 2 diabetes mellitus (T2DM) and to explore their their relationship with diabetic retinopathy (DR).MethodsA total of 208 patients with T2DM and 50 healthy subjects (control group) from the Central Hospital of Western Hainan during January 2014 and December 2017 were selected in this study. Vision, slit lamp microscope, indirect ophthalmoscope and FFA examinations were performed on all the subjects. According to the results of the examinations combined with the DR clinical staging criteria, the patients were divided into non-DR (NDR) group, non-proliferative DR (NPDR) group, and proliferative DR (PDR) group, with 72, 76 and 60 patients in each, respectively. The clinical data of each group were recorded, and the levels of fasting blood glucose (FPG), HbA1c, total cholesterol (TC), three acylglycerol (TG), high density lipoprotein (HDL-C), low density lipoprotein (LDL-C), VEGF, apelin and HO-1 were detected in each group. The receiver operating characteristic curve (ROC) were used to analyze the value of VEGF, apelin and HO-1 in predicting the occurrence of PDR. Correlation analysis of serum VEGF, Apelin and HO-1 with clinical parameters in PDR patients by Pearson correlation analysis.ResultsThe level of VEGF (56.82±10.16 vs 91.74±22.83, 140.15±36.40, 195.28±42.26 pg/ml) and apelin (2.95±0.53 vs 4.68±0.74, 7.25±1.13, 10.16±1.35 ng/ml) in PDR group were significantly higher than those in NPDR, NDR and control groups (F=17.306, 21.814; P＜0.05). The level of HO-1 (50.37±10.14 vs 43.58±8.16, 30.25±6.28, 22.60±4.72 mmol/L) in PDR group was significantly lower than those in NPDR, NDR and control groups (F=15.827, P＜0.05). The ROC curve analysis showed that the best cut-off values of serum VEGF, apelin and HO-1 were 162.50 pg/ml, 8.30 ng/ml, 27.13 mmol/L, and the three combined to predict PDR of AUC (95%CI) was 0.906 (0.849−0.962), and their sensitivity (90.3%) and specificity (83%) were better. The correlation analysis showed that the VEGF, apelin and HO-1 of PDR patients were correlated with the course of diabetes (r=0.382, 0.416, −0.36; P＜0.05), FPG (r=0.438, 0.460, −0.397; P＜0.05) and HbAlc (r=0.375, 0.478, −0.405; P＜0.05), and the serum VEGF were correlated with apelin and HO-1 (r=0.793, −0.594; P＜0.01).ConclusionElevated serum VEGF and apelin levels and reduced HO-1 levels are associated with the progression of DR, and the three combination helps predict the occurrence of PDR.
Objectives To assess the efficacy and safety of metformin plus rosiglitazone in treating type 2 diabetes mellitus. Methods Based on the principles and methods of Cochrane systematic reviews, we searched the CochraneLibrary (2008, 4 issue), PubMed (1966 to October 19, 2008), Embase (1974 to October 19, 2008), China BiomedicalLiterature Database (1978 to October 12, 2008), China Journal Fulltext Database (1994 to October 12, 2008), ChineseScientific Journals Full text Database (1989 to October 12, 2008). Randomized controlled trials (RCTs) of Metforminplus roziglitazone versus metformin for type 2 diabetes were included. We assessed the quality of the included RCTsaccording to the Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration’s software RevMan 5.0 was used for meta-analysis. Results Twelve RCTs totaling 3020 patients were included. Metaanalysis showed that Glycosylated hemoglobin levels [WMD= – 0.48%, 95%CI (– 0.74, – 0.22), P=0.000 3], fasting plasma glucose levels [WMD= – 1.03mmol/L, 95%CI (– 1.85, – 0.75), Plt;0.000 01], insulin sensitivity, and β-cell function improved significantly with metformin plus rosiglitazone therapy. Compared with the metformin monotherapy group, patients treated with metformin plus rosiglitazone had more edema events [RR= 3.27, 95%CI (1.80, 5.91), Plt;0.000 1] and lower gastro-intestinal events [RR= 0.82, 95%CI (0.71, 0.94), P=0.004]. We found no statistically significant effect on body weight, the percentage of patients with at least one adverse event, and hypoglycemia events. Conclusions Current evidence demonstrates that combination treatment with metformin plus rosiglitazone improves glycemic control, insulin sensitivity, and cells function more effectively than with metformin monotherapy. Side effects of two types of therapy have differences in performance.
ObjectiveTo assess the association of hemoglobin (Hb) levels with the prevalence of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional study. From January 2017 to December 2018, 707 patients with T2DM who were hospitalized in the Department of Internal Medicine of Chu Hsien-I Memorial Hospital & Tianjin Medical University, were included in the study. All patients underwent color photography of the fundus of both eyes with dilated pupils. According to DR diagnostic criteria, patients were divided into DR group and non-DR (NDR) group, with 210 and 497 cases, respectively; DR group was further divided into non-proliferative DR group (NPDR) group and proliferative DR (PDR) group, about 186, 24 cases, respectively. Hb level was detected, single factor analysis of its correlation with DR; logistic regression analysis was used to evaluate the relationship between Hb level and DR risk.ResultsThe Hb levels of the patients in the NDR group and the DR group were 140.58±17.26 and 132.35±23.48 g/dl; compared with the NDR group, the Hb level of the DR group was significantly lower, and the difference was statistically significant (t=5.107, P=0.000). In the NDR group, NPDR group, and PDR group, Hb levels of male patients were 149.3±1.01, 142.6±2.35, 132.9±8.44 g/dl, respectively; Hb levels of female patients were 131.7±0.90, 124.0±2.09, 116.8±5.23 g/dl. With the progress of DR, Hb levels of different sexes decreased significantly, and the difference was statistically significant (P＜0.000 1). The results of correlation analysis showed that Hb reduction was an independent risk factor for DR (odds ratio=4.437, 95% confidence interval 2.590-7.603, P＜0.000 1).ConclusionThe reduction of Hb in T2DM patients is positively correlated with the severity of DR.
ObjectiveTo observe and analyze the effect of HbA1c level on macular microcirculation in patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional study. One hundred and twenty-four T2DM patients (124 eyes) without diabetic retinopathy who diagnosed by the examination of fundus color photography in Lixiang Eye Hospital Of Soochow University during September to December 2017 were enrolled in this study. There were 59 males (59 eyes) and 65 females (65 eyes), with the mean age of 65.06±7.99 years old. All patients underwent BCVA, fundus color photography, and OCT angiography (OCTA). The history of diabetes, hypertension and dyslipidemia were recorded in detail. According to the HbA1c level, patients were divided into three groups, HbA1c ideal control group (group A, HbA1c ＜7%, 67 eyes), HbA1c control group (group B, 7%≤HbA1c≤9%, 44 eyes), and HbA1c poor control group (group C, HbA1c＞9%, 13 eyes), respectively. The 3 mm×3 mm range of the macular area was scanned by OCTA instrument. The vascular density (VD) and skeleton density (SD) of nonsegmented retinal layer (NRL), superficial retinal layer (SRL) and deep retinal layer (DRL) in the macular area and foveal avascular zone (FAZ) area, non-circularity index, axial rate (AR) of SRL were measured. The correlation between HbA1c, BCVA and VD, SD of NRL, SRL, DRL was analyzed statistically with Spearman correlation test. The correlation between systemic factors and the above indicators was analyzed statistically with linear regression analysis.ResultsThe results of linear regression analysis showed that HbA1c was significantly correlated with VD (t=−3.237, −3.156, −2.050) and SD (t=−0.3.45, −3.034, −2.248) of NRL, SRL and DRL (P＜0.05); but no correlation with FAZ, non-circularity index and AR (t=1.739, 0.429, 1.155; P＞0.05). The differences of VD (F=6.349, 5.981, 3.709), SD (F=7.275, 6.085, 1.904) and AR (F=0.027) of NRL, SRL and DRL in group A, B and C were statistically significant (P＜0.05); but the differences of FAZ (F=1.904), non-circularity index (F=0.280) was not statistically significant (P＞0.05). Significant differences (P＜0.05) of VD and SD of NRL were found between group A and B (t=1.987, 2.201), group A and C (t=3.365, 3.572), group B and C (t=2.010, 2.076). Significant differences (P＜0.05) of VD and SD of SRL were found between group A and B (t=2.087, 2.168), group A and C (t=3.197, 3.194). There were significant differences (P＜0.05) in SD of DRL between group A and B (t=2.239), group A and C (t=−2.519). There was significant difference in VD of DRL between group A and C (t=2.363). The results of Spearman correlation analysis showed that HbA1c was negatively correlated with VD (r=−0.273, −0.255, −0.222; P=0.002, 0.004, 0.013) and SD (r=−0.275, −0.236, −0.254; P＜0.05) of NRL, SRL, DRL; positively correlated with FAZ and BCVA (r=0.221, 0.183; P＜0.05). BCVA was negatively correlated with VD (r=−0.210, −0.190, −0.245) and SD (r=−0.239, −0.207, −0.296) of NRL, SRL, and DRL (P＜0.05), but not correlated with FAZ (r=0.099, P＞0.05).ConclusionThe decrease of macular perfusion and the morphological change of FAZ accompanied by HbA1c increased.