Objective:To detect the level of immune related cytokines in the serum of the patient with Parkinson’s Disease (PD) and to explore the influencing factors of the cytokines.Methods:51 patients with PD (PD group) and 35 healthy control (control group) were studied.The two groups were detected the serum concentration of IL-1?,IL-2,IL-6 and TNF-? by the way of radio immunity.Results:The serum level of IL-6 and TNF-? in the PD group is significantly higher than that of the control group (P

Purpose To investigate the value of a radiomics model based on dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)in the differential diagnosis of granulomatous mastitis and breast cancer.Materials and Methods The MRI data of 82 patients with granulomatous mastitis or breast cancer confirmed by pathology in Xiyuan Hospital of China Academy of Chinese Medical Sciences from February 2019 to January 2022 were retrospectively collected.Based on the first phase of DCE-MRI,the regions of interest(ROI)were delineated layer by layer by semi-automatic segmentation method and manual segmentation method,respectively.99 ROI were randomly assigned to 69 in training groups and 30 in test groups.The consistency difference between the two methods was compared.The original data extracted by the semi-automatic segmentation method were screened by correlation analysis and multi-factor Logistic regression.Six kinds of classifiers(Logistic regression,support vector machine,naive Bayes,decision tree,random forest,K nearest neighbor)were used to construct prediction models,and the differences in diagnostic efficiency,accuracy,sensitivity and specificity of each model were evaluated.Results A total of 99 lesions(n=37 cases with granulomatous mastitis and n=62 cases with breast cancer)were segmented from 82 patients.The radiomics data extracted by the two ROI segmentation methods had poor consistency between groups[Intraclass correlation coefficient=0.68(0.51,0.78)].Among the six prediction models constructed from the data extracted by the semi-automatic segmentation method,the diagnostic performance of the Logistic regression model and the support vector machine model was significantly better than those of other models,and the Logistic regression model had the best diagnostic performance and stability(training group:area under the curve 0.928,accuracy rate 0.855,sensitivity 0.837,specificity 0.885;test group:area under the curve 0.933,accuracy 0.833,sensitivity 0.895,specificity 0.727,respectively).Conclusion Radiomics based on DCE-MRI can provide high value for the differential diagnosis of granulomatous mastitis and breast cancer.The semi-automatic segmentation method is more recommended for the segmentation method of ROI.The prediction model constructed by Logistic regression and support vector machine shows better diagnostic efficiency and stability.

In skeletal system, the coupling effect between angiogenesis and osteogenesis can promote bone growth and maintain bone mass balance. Type H vessel is a special capillary subtype in bone with high expression of Endomucin (Emcn) and CD31. The essence of type H vessel is vascular endothelial cells, mainly distributed in the metaphysis, surrounded by bone progenitor cells, which mediates the coupling mechanism of angiogenesis and osteogenesis, involving a variety of cytokines and signaling pathways. Factors including platelet-derived growth factor type BB, slit guidance ligand 3, hypoxia-inducible factor 1-alpha, Notch, and vascular endothelial growth factor are involved in the coupling of angiogenesis and osteogenesis. Type H vessels transmit signals through a variety of cytokines to enhance the connection between angiogenesis and bone formation, thus regulating bone growth and bone homeostasis. In addition, this article discusses the research prospects of improving bone loss by using it as a target, so as to provide reference for clinical bone injury repair and anti-osteoporosis treatment.

Objective:To quantitatively analyze the plaque components of carotid artery through energy spectrum computed tomography angiography(CTA),and to measure the blood flow perfusion in the blood-supply area of carotid artery through CT perfusion(CTP),so as to explore the relationship among plaque component,the degree of luminal stenosis and cerebral blood flow perfusion.Methods:A total of 68 patients with unilateral plaques of carotid artery and severe vascular stenosis who were screened and diagnosed by ultrasound and CTA in Xiyuan Hospital from December 2017 to July 2019 were selected,and all patients underwent CTA examination and CTP examination.North American symptomatic carotid endarterectomy test(NASCET)method was used to measure the degree of carotid stenosis.The GE AW 4.7 post-process workstation was used to conduct analyses of energy spectrum and cerebral perfusion for the plaque component.And then,the slope of energy spectrum curve and the effective atomic number were obtained.At the same time,the cerebral blood volume(CBV),cerebral blood flow(CBF),time to peak(TTP)and mean transit time(MTT)of contrast agent in blood-supplying area of anterior cerebral artery(ACA)and middle cerebral artery(MCA)at the side of lesion were measured.Results:A total of 68 measured plaques of 68 patients met the condition,including 44 vulnerable plaques(including lipid plaques and mixed plaques)and 24 stable plaques(fibrous plaques).The average slopes of the energy spectrum curves of vulnerable plaque and stable plaque were respectively 0.45±0.45 and 1.15±0.39,and the differences were significant(t=2.413,P<0.05).The averagely effective atomic numbers of vulnerable plaques and stable plaques were respectively 7.21±1.06 and 8.01±0.63,and the difference were significant(t=2.548,P<0.05).The average TTP values of the ACA at the side of lesion of vulnerable plaques and stable plaques were respectively(12.20±1.61)S and(13.59±2.79)S,and the difference was significant(t=-2.607,P<0.05).The mean MTT values of the ACA at the side of lesion of vulnerable plaques and stable plaques were respectively(5.07±1.66)S and(6.09±2.19)S,and the difference was significant(t=-2.177,P<0.05).The degree of vascular stenosis at the side of lesion was positively correlated with TTP and MTT in blood-supplying area of middle cerebral artery(MCA)at the side of lesion(r=0.537,0.465,P<0.05),and that was negatively correlated with CBF values in blood-supplying areas of ACA and MCA at the side of lesion(r=-0.281,-0.569,P<0.05),respectively.The slope of the energy spectrum curve of carotid plaque was positively correlated with the TTP values in blood-supplying areas of ACA and MCA at the side of lesion(r=0.242,0.246,P<0.05),respectively.Conclusion:CT spectral imaging can quantitatively analyze the displayed components of carotid atherosclerotic plaque,and the degree of vascular stenosis can affect the blood flow perfusion of cerebral tissue,and the delays of TTP and MTT are more easily caused by vulnerable plaque,and the TTP of them is more sensitivity.