Objective To explore the characteristic changes in white matter microstructure in Parkinson's disease(PD)patients via automated fiber quantification(AFQ)technology,providing a basis for the identification and diagnosis of PD,and to analyze the feasibility of combining the AFQ method with support vector machine(SVM)in the diagnosis of PD.Methods Forty patients with primary PD(PD group)and 20 healthy controls(HC)(HC group)were prospectively selected.The AFQ technology was applied for white matter fiber tract analysis.Statistical analyses were performed using FSL(v6.0)software and SPSS 27.0 software.Independent-sample t-tests were conducted for comparisons between groups in AFQ analysis.The AFQ method was used to analyze the relationship between diffusion tensor imaging(DTI)parameters and Montreal Cognitive Assessment(MoCA)scores.Results(1)The results of AFQ analysis revealed that compared with the HC group,the PD group exhibited significantly lower fractional anisotropy(FA)values in the right cingulum bundle,left cingulum bundle hippocampus,and left uncinate fasciculus,with no differences in the FA values of the remaining 17 fiber tracts.Moreover,PD group demonstrated higher mean diffusivity(MD)values in the left cingulum bundle,left cingulum bundle hippocampus,left inferior frontal occipital fasciculus,left inferior longitudinal fasciculus,left superior longitudinal fasciculus,and left uncinate fasciculus.These differences were statistically significant(P<0.05),while no significant differences were found in the MD values of the remaining 14 fiber tracts.Furthermore,the MD values of the left inferior frontal occipital fasciculus,and left inferior longitudinal fasciculus were negatively correlated with the MoCA scores.(2)The classification results of SVM showed that the best results were achieved when combining the differential nodes of FA and MD as classification features,with an area under the curve(AUC)of 0.922,an accuracy of 84.81%,a sensitivity of 87.50%,and a specificity of 82.05%.Conclusion The DTI parameters in PD patients can serve as potential biomarkers for diagnosis.The AFQ methods provides an effective approach for detecting alterations white matter tract integrity,offering important insights for the identification and diagnosis of PD.The best results are achieved when combining the differential nodes of FA and MD as classification features.

Objective To explore the characteristic changes in white matter microstructure in Parkinson's disease(PD)patients via automated fiber quantification(AFQ)technology,providing a basis for the identification and diagnosis of PD,and to analyze the feasibility of combining the AFQ method with support vector machine(SVM)in the diagnosis of PD.Methods Forty patients with primary PD(PD group)and 20 healthy controls(HC)(HC group)were prospectively selected.The AFQ technology was applied for white matter fiber tract analysis.Statistical analyses were performed using FSL(v6.0)software and SPSS 27.0 software.Independent-sample t-tests were conducted for comparisons between groups in AFQ analysis.The AFQ method was used to analyze the relationship between diffusion tensor imaging(DTI)parameters and Montreal Cognitive Assessment(MoCA)scores.Results(1)The results of AFQ analysis revealed that compared with the HC group,the PD group exhibited significantly lower fractional anisotropy(FA)values in the right cingulum bundle,left cingulum bundle hippocampus,and left uncinate fasciculus,with no differences in the FA values of the remaining 17 fiber tracts.Moreover,PD group demonstrated higher mean diffusivity(MD)values in the left cingulum bundle,left cingulum bundle hippocampus,left inferior frontal occipital fasciculus,left inferior longitudinal fasciculus,left superior longitudinal fasciculus,and left uncinate fasciculus.These differences were statistically significant(P<0.05),while no significant differences were found in the MD values of the remaining 14 fiber tracts.Furthermore,the MD values of the left inferior frontal occipital fasciculus,and left inferior longitudinal fasciculus were negatively correlated with the MoCA scores.(2)The classification results of SVM showed that the best results were achieved when combining the differential nodes of FA and MD as classification features,with an area under the curve(AUC)of 0.922,an accuracy of 84.81%,a sensitivity of 87.50%,and a specificity of 82.05%.Conclusion The DTI parameters in PD patients can serve as potential biomarkers for diagnosis.The AFQ methods provides an effective approach for detecting alterations white matter tract integrity,offering important insights for the identification and diagnosis of PD.The best results are achieved when combining the differential nodes of FA and MD as classification features.

Objective:To evaluate the effects of different doses of sivelestat sodium on perioperative acute lung injury (ALI) in the patients undergoing emergency surgery for acute Stanford type A aortic dissection (AAAD).Methods:A total of 120 patients of both sexes, aged 30-64 yr, with body mass index of 18.5-24.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅲ or Ⅳ, scheduled for emergency AAAD surgery, were divided into 3 groups using a random number table method: low-dose sivelestat sodium group (SL group), medium-dose sivelestat sodium group (SM group)and high-dose sivelestat sodium group (SH group), with 40 patients in each group. Sivelestat sodium 4.8, 6.0 and 7.2 mg/kg were intravenously infused starting from 10 min before anesthesia until 24 h after surgery in SL, SM and SH groups, respectively. Blood samples from the radial artery were collected for blood gas analysis after anesthesia induction and before skin incision (T 1), immediately after the end of surgery (T 2), at 24 h after surgery (T 3), and 72 h after surgery (T 4), the alveolar-arterial oxygen tension difference (PA-aDO 2), oxygenation index (OI)and respiratory index (RI) were calculated. The duration of postoperative mechanical ventilation, length of stay in the intensive care unit (ICU) and length of postoperative hospital stay were recorded. Central venous blood samples were collected at T 1-T 4 to measure serum concentrations of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6)and IL-8. Peripheral venous blood samples were collected on preoperative day 1 and postoperative days 1 and 3 to measure white blood cell (WBC) count, neutrophil (NEUT) count, neutrophil percentage (NEUT%), and C-reactive protein (CRP) concentration. The occurrence of postoperative pulmonary complications (PPCs)and 90-day all-cause mortality were recorded. Results:Compared with the baseline at T 1, PA-aDO 2 and RI were significantly increased, OI was decreased, and the serum concentrations of TNF-α, IL-6 and IL-8 were increased at T 2-T 4 in all the three groups ( P<0.05). WBC, NEUT, NEUT% and concentrations of CRP were significantly higher on postoperative days 1 and 3 than on 1 day before surgery in the three groups ( P<0.05). Compared with SL and SM groups, PA-aDO 2 and RI were significantly decreased, OI was increased, and the serum concentrations of TNF-α, IL-6 and IL-8 were decreased, the WBC count, NEUT count, NEUT% and concentrations of CRP were decreased, the incidence of postoperative hypercapnia, hypoxemia, emerging lung rales and bronchospasm was decreased, and the duration of postoperative mechanical ventilation and length of intensive care unit stay were shortened( P<0.05), and no significant change was found in the postoperative length of hospital stay and 90-day all-cause mortality rate in SH group ( P>0.05). Conclusions:Sivelestat sodium 7.2 mg/kg can significantly inhibit the inflammatory responses, alleviate perioperative ALI, and improve early prognosis in the patients undergoing AAAD surgery.

Objective:To investigate the association of abdominal fat distribution with glycolipid metabolism and diabetic complications in patients with T2DM.Methods:Totally 357 inpatients with T2DM were collected from the Endocrinology Department of our hospital. All patients received quantitative computed tomography to measure the visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT), and were divided into three groups depending on the tertile of VAT value: T1 group (VAT<162.0 cm 2), T2 group (162.0≤VAT<221.1 cm 2), T3 group (VAT≥221.1 cm 2). The incidences of diabetic kidney disease, diabetic retinopathy, diabetic peripheral neuropathy, peripheral atherosclerosis, and cardia-cerebrovascular disease were examined in all patients. Results:HbA 1C level in T1 group was higher than that in T3 group( P<0.05). High density lipoprotein-cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) in T1 group were higher compared with those in T2 and T3 groups ( P<0.05). Male proportion, age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), 24h urinary albumin, diabetic kidney disease and peripheral atherosclerosis in T2 and T3 groups were higher than those in T1 group ( P<0.05). Fasting C- peptide (FCP) and modified homeostasis model assessment for insulin resistance (HOMA-IR) in T3 group were higher than those in T1 and T2 group ( P<0.01). VAT and SAT were positively correlated with BMI, FCP, and HOMA-IR (p<0.01). VAT was positively correlated with age, SBP, DBP, TG, 24h urinary albumin, diabetic kidney disease, peripheral atherosclerosis, and cardia-cerebrovascular disease ( P<0.05), while inversely correlated with HbA 1C, HDL-C, and eGFR ( P<0.05). SAT was positively correlated with total cholesterol and low density lipoprotein-cholesterol ( P<0.01), while negatively correlated with peripheral atherosclerosis ( P<0.01). Multivariate logistic regression analysis showed that VAT was still a risk factor for diabetic kidney disease after adjusted by age, BMI, SBP and fasting plasma glucose( P=0.013). Conclusion:VAT and SAT are associated with blood lipids and insulin resistance, while VAT seems to be a risk factor for diabetic kidney disease.

Objective To investigate the multidrug-resistance reversal action and mechanism of dihydroartemisin (DHA) on human colon cancer cell line HCT8/ADR. Methods The cytotoxicity of dihydroartemisin combined with doxorubicin(DOX) was determined by methyl thiazolyl tetrazolium(MTT) assay and cell apoptosis was observed by flow cytometry. Western blot assay was used to measure the autophagy. Results The combined treatment with dihydroartemisin and doxorubicin significantly enhanced the cytotoxicity in HCT8/ADR cells and effectively increased the apoptotic level. Autophagy was also induced by the combined treatment , which maybe played a crucial role in the regulation of doxorubicin-sensitization of HCT8/ADR cells. Conclusion The results indicated that dihydroartemisin can reverse multidrug resistance through increasing the doxorubicin-sensitivity of HCT8/ADR cells.

Objective To investigate the anti-tumor activities of cell-penetrating peptide ( CPP) - mediated trichosanthin ( TCS) , which is a recombinant protein obtained from Radix Trichosanthis. Methods Cysteine residue was introduced to the C-terminus of TCS by protein recombinant technique, and then with the newly-formed terminal as the modification site, TCS was coupled with CPP. As a target protein, CPP-mediated TCS was isolated and purified by affinity chromatography. The expression of the target protein and its responsiveness to reducing substances were detected by using the sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The cellular uptake rate of CPP-mediated TCS was determined by using cell uptake test, and its anti-tumor activity was measured by using methyl thiazolyl tetrazolium (MTT) assay. Results The TCS-CPP compound had been successfully developed in this study, and showed certain reducing responsiveness. After modified with CPP, TCS had higher cellular uptake rate and stronger anti-tumor effect on HeLa and MCF-7 cells. Conclusion TCS modified by CPP can enhance the anti-tumor activities of TCS.