AIM: To investigate the association between dyslipidemia and macular hard exudates(HEs)in non-proliferative diabetic retinopathy(NPDR)secondary to type 2 diabetes mellitus(T2DM).METHODS: NPDR patients attending the outpatient ophthalmology clinic from January 2021 to December 2023 were selected and divided into three groups according to the severity of macular HEs. Group A: None or minimal HEs; Group B: Definite HEs; Group C: Prominent HEs. Total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), lipoprotein(a)[Lp(a)] levels and other lipid-related indicators were routinely measured. The correlation between these indicators and HEs was analyzed.RESULTS:Group A(24 eyes)consisted of 9 males and 15 females with the mean age of 54.71±6.15 y, group B(52 eyes)consisted of 20 males and 32 females with the mean age of 55.08±6.27 y, group C(14 eyes)consisted of 9 males and 5 females with the mean age of 53.93±6.08 y. The concentration of TC, TG, LDL-C and Lp(a)was highest in group C, followed by group B and lowest in group A with statistically significant differences(P<0.001). There were no statistically significant differences between the three groups for fasting plasma glucose(FPG), glycated hemoglobin A1c(HbA1c), creatinine(Cr), and HDL-C(P>0.05). The results of multivariate Logistic regression analysis showed that elevated levels of TC, TG, LDL-C, and Lp(a)were associated with the presence of macular HEs. Receiver operating characteristiccurve analysis showed that the area under the curve(AUC)for TC, TG, LDL-C, Lp(a), and their combination in predicting macular HEs in NPDR were 0.785, 0.718, 0.784, 0.742, and 0.911, respectively, with the combined model demonstrating the highest predictive performance.CONCLUSION: Dyslipidemia is closely associated with the development and progression of macular HEs in patients with NPDR and T2DM. The levels of TC, TG, LDL-C, and Lp(a)were correlated with the severity of macular HEs, suggesting that dyslipidemia may be involved in the pathological process of macular HEs formation.

BACKGROUND: Patients with mass-forming pancreatitis (MFP) or pancreatic ductal adenocarcinoma (PDAC) presented similar clinical symptoms, but required different treatment approaches and had different survival outcomes. This meta-analysis aimed to compare the diagnostic performance of contrast-enhanced ultrasound (CEUS) and contrast-enhanced computed tomography (CECT) in differentiating MFP from PDAC. METHODS: A literature search was performed in the PubMed, EMBASE (Ovid), Cochrane Library (CENTRAL), China National Knowledge Infrastructure (CNKI), Weipu (VIP), and WanFang databases to identify original studies published from inception to August 20, 2021. Studies reporting the diagnostic performances of CEUS and CECT for differentiating MFP from PDAC were included. The meta-analysis was performed with Stata 15.0 software. The outcomes included the pooled sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curves of CEUS and CECT. Meta-regression was conducted to investigate heterogeneity. Bayesian network meta-analysis was conducted to indirectly compare the overall diagnostic performance. RESULTS: Twenty-six studies with 2115 pancreatic masses were included. The pooled sensitivity and specificity of CEUS for MFP were 82% (95% confidence interval [CI], 73%-88%; I2  = 0.00%) and 95% (95% CI, 90%-97%; I2  = 63.44%), respectively; the overall +LR, -LR, and DOR values were 15.12 (95% CI, 7.61-30.01), 0.19 (95% CI, 0.13-0.29), and 78.91 (95% CI, 30.94-201.27), respectively; and the area under the SROC curve (AUC) was 0.90 (95% CI, 0.87-92). However, the overall sensitivity and specificity of CECT were 81% (95% CI, 75-85%; I2  = 66.37%) and 94% (95% CI, 90-96%; I2  = 74.87%); the overall +LR, -LR, and DOR values were 12.91 (95% CI, 7.86-21.20), 0.21 (95% CI, 0.16-0.27), and 62.53 (95% CI, 34.45-113.51), respectively; and, the SROC AUC was 0.92 (95% CI, 0.90-0.94). The overall diagnostic accuracy of CEUS was comparable to that of CECT for the differential diagnosis of MFP and PDAC (relative DOR 1.26, 95% CI [0.42-3.83], P  > 0.05). CONCLUSIONS CEUS and CECT have comparable diagnostic performance for differentiating MFP from PDAC, and should be considered as mutually complementary diagnostic tools for suspected focal pancreatic lesions.
Humans ; Contrast Media ; Bayes Theorem ; Tomography, X-Ray Computed/methods* ; Pancreatic Neoplasms/diagnostic imaging* ; Carcinoma, Pancreatic Ductal/diagnostic imaging* ; Sensitivity and Specificity ; Pancreatitis/diagnostic imaging* ; Ultrasonography/methods*

Objective To investigate the relationship between the expression of 06-methyl guanine DNA methyltransferase (MGMT),X-ray repair cross complementation gene 1 (XRCC1) and the incidence of glioma.Methods From February 2015 to September 2017,53 glioma patients (glioma group) in our hospital were enrolled in the study.50 patients with hypertensive intracerebral hemorrhage were selected as control A group,and 106 healthy volunteers as control B group.Immunohistochemical staining was used to detect the expression of MGMT and XRCC1 in brain tissue of glioma group and control A group,and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) were used to detect the polymorphism of MGMT and XRCC1 gene in glioma group and control B group.Results The positive expression rates of MGMT and XRCC1 in the tissues of brain glioma were 47.17％ and 39.62％,respectively,which were significantly higher than those in the control A group (P ＜ 0.05).There was no significant difference in the positive expression rate of MGMT and XRCC1 in patients with grade Ⅰ,,Ⅲ and Ⅳ (P ＞ 0.05);There was no correlation between the expression of MGMT and XRCC1 in glioma tissues (rs =0.162,P ＞ 0.05);The proportion of XRCC1 genotype AG + GG in brain glioma group was 58.49％,which was significantly higher than that of control B group (P ＜ 0.05);The proportion of MGMT genotype LP + PP in brain glioma group was 28.30％,which was significantly higher than that of control B group (P ＜ 0.05).Conclusions MGMT and XRCC1 are increased significantly in glioma brain tissues,but not correlatedwith pathological grades;The polymorphism of MGMT and XRCC1 genes may be related to the susceptibilityof gliomas.