Experimental acute myocardial ischemia model of dog was established, and the postmortem stability of fibronectin for the diagnosis of mycardial infarction was studied with immunohistochemistry and image analysis technique. The results showed that the positive reaction areas of fibronectin in ischemic myocardial tissues decreased along with the prolongation of postmortem interval, but positive reaction of fibronectin could still be found in ischemic myocardia kept for 4 weeks postmortem. No positive reaction for fibronectin could be found in normal myocardia when kept for different times. So fibronectin is a quite stable marker for the postmortem diagnosis of myocardial infarction, and is of practical value in the forensic practice.

Experimental acute myocardial ischemia model of rat was established, and the changes of C5 complement in the ischemic myocardia were studied with immunohistochemistry and image analysis technique. The results showed that the positive reaction of C5 could be observed in ischemic myocardia at 15 min after ischemia, and the positive reaction area increased along with the prolongation of the ischemic period. It is concluded that the positive reaction of C5 in cardiomyocytes is a quite sensitive marker of early myocardial ischaemia.The immunohistochemical detection of C5 in cardiomyocytes will be a meaningful tool for the postmortem diagnosis of early myocardial ischaemia.

In order to explore the value of fibronectin (Fn) in the postmortem diagnosis of myocardial infarction.The changes of Fn staining in normal, infarcted and other non infarcted myocardial injuries resulted from myocarditis, mechanical asphyxia, electrocution, hemorrhagic shock, cardiac contusion and organophosphate poisoning were studied with immunohistochemistry and image analysis system. The results showed that positive Fn staining could only be observed in groups of myocardial infarction and myocarditis, but could not be found in groups of mechanical asphyxia, electrocution, hemorrhagic shock, cardiac contusion, organophosphate poisoning. It is indicated that positive reaction of Fn could be affected only by myocarditis, so it is quite specific for the diagnosis of myocardial infarction.

The research of central mechanism of internet addiction disorder ( IAD) has become a trend gradually .Mostly the researches are available on the executive function of IAD based on experimental paradigms .This paper is a brief review of the main ex-perimental paradigms of executive function on the research of IAD .

The liposomes were prepared by reverse-phase evaporation technique. The morphology of the liposomes, the entrapment efficiency and the particle size distribution were evaluated. The CT signals of Iohexol liposomes in rabbits were compared with those of Iohexol injection in rabbits. The entrapment efficiency of Iohexol liposomes was 82.35% +/- 1.82%. The liposmes were spherical or ellipsoidal shape in shape. The mean diameter of the Iohexol liposomes was 207 7 nm. The polydispersity index was 0.355. The Zeta potential was--1.83 mV. The drug was highly entrapped into the liposomes with good reproduction and stability. The in vitro release of Iohexol liposomes was significantly slower than that of Iohexol,and was 98.57% at 24 h. Iohexol liposomes may reduce the dosage, prolong the effective time of the developing agent, and could reduce the side effects of Iohexol on the blood vessels and cerebral nerves.
Animals ; Contrast Media ; chemical synthesis ; chemistry ; Drug Carriers ; Drug Delivery Systems ; Iohexol ; chemical synthesis ; chemistry ; Liposomes ; administration & dosage ; chemical synthesis ; Microscopy, Electron, Scanning ; Particle Size ; Rabbits ; Random Allocation

Objective: To compare the effectiveness of qualitative and quantitative fecal immunochemical tests (FIT) in identifying colorectal cancer, so as to provide insights into perfecting screening strategies for colorectal cancer. Methods: Participants in the Colorectal Cancer Screening Program for Key Populations in Zhejiang Province from May 2020 to December 2021 were recruited, and their demographic information, lifestyle and disease history were collected through a questionnaire survey. Qualitative or quantitative FIT along with a questionnaire-based risk assessment were employed as the initial screening tests. Individuals who were positive in any FIT or had high-risk assessment results were required to attend a subsequent colonoscopy examination. The positive rate, detection rate of colorectal cancer, positive predictive value and number of colonoscopies required were compared between qualitative and quantitative FITs, and stratified analyses by gender and age were conducted. Results: Totally 4 099 769 participants were included. The qualitative FIT group included 3 574 917 individuals, yielding a positive rate of 11.35%, a detection rate of 1.19%, a positive predictive value of 0.48% and 83.84 colonoscopies required to detect one cancer case. The quantitative FIT group involved 524 852 individuals, yielding a positive rate of 6.70%, a detection rate of 2.31%, a positive predictive value of 1.01% and 43.23 colonoscopies required to detect one cancer case. The quantitative FIT group showed significantly higher detection rate of colorectal cancer, higher positive predictive value and less number of colonoscopies required compared to the qualitative FIT group (all P<0.05). The same results were obtained after stratification by gender and age. Conclusion Compared to qualitative FIT, quantitative FIT improves the detection of colorectal cancer and reduces the workload of colonoscopy examinations, making it more suitable for colorectal cancer screening in large-scale populations.

Objective:To investigate the feasibility of classifying imaging patterns of dermatomyositis/polymyositis-related interstitial lung disease (DM/PM-ILD) into subtypes based on chest CT radiomics features and a model was constructed by machine learning algorithms.Methods:From November 2011 to November 2020, 107 patients diagnosed with PM/DM-ILD at the First Affiliated Hospital of Xi′an Jiaotong University were retrospectively analyzed. A total of 315 cases with chest CT were collected. Doctors pre-classified image patterns, including 105 cases with non-specific interstitial pneumonia (NSIP), 90 cases with organizing pneumonia (OP), and 66 cases with non-specific interstitial pneumonia combined with organizing pneumonia (NSIP+OP), 35 cases with common interstitial pneumonia (UIP), and 19 cases with diffuse alveolar damage (DAD), ANOVA was used to test the difference of baseline clinical information among the imaging classification groups. All images were divided into the training set and the est set by stratified random sampling at a ratio of 4∶1. In each CT scan, 3D slicer was used to segment each lung lobe, and then reconstructed into 3 mm 3 of voxels, and Pyradiomics library was used to extract the radiomic features of the whole lung and each lobe. The multi-classification goal was achieved by constructing random forest base classifiers for each of the five groups and then voting as the final model. In the process of constructing the base classifier, firstly, the balance between sample groups was achieved by SMOTETomek comprehensive sampling, and the optimal feature set was selected by independent sample t test and L1 regularized least absolute shrinkage and selection operator (LASSO) regression. In this study, the Radiomics model was constructed based on chest CT radiomics features, and the Radiomics + model was constructed by introducing gender and age information. The base classifier and the integration model use the mean accuracy and the area under the receiver operator characteristics analysis curve (AUC) to evaluate the performance, respectively. Results:There was a statistically significant difference ( P<0.05) between the ages of the NSIP, OP, NSIP+OP, UIP, and DAD groups [(57±13),(53±8),(54±10),(44±11), and (46±8)years old, respectively], F=11.82, P<0.001. In the Radiomics model, for each group of NSIP, OP, NSIP+OP, UIP, and DAD, the AUCs of the training set were 0.87, 0.91, 0.91, 0.96, and 0.99, respectively, and the AUC of the test set were 0.81, 0.82, 0.79, 0.93, 0.89. In the final Radiomics + model, for each group of NSIP, OP, NSIP+OP, UIP, and DAD, the AUCs of the training set were 0.89, 0.91, 0.92, 0.97, and 0.99, respectively, and the AUCs of the test set were 0.84, 0.82, 0.78, 0.94, 0.90. Conclusion:Based on chest CT radiomics features and key clinical features (sex, age), the Radiomics + model constructed by machine learning has good classification performance for the imaging patterns of PM/DM-LD.

Sepsis is one of the common severe diseases caused by the dysregulated host response to infection， which seriously threatens the life and health of human beings all over the world. The incidence and mortality of the disease are extremely high， and it has always been an urgent problem to be solved in the field of acute and critical diseases. At present， anti-infection， fluid resuscitation， mechanical ventilation and other programs are most used in clinic to treat sepsis， but their poor prognosis and high cost and other issues remain to be resolved. Therefore， it is necessary to explore a new， efficient， safe and inexpensive drug and treatment model at this stage. The treatment of traditional Chinese medicine （TCM） is based on syndrome differentiation and holistic concept. It can effectively regulate the progression of sepsis， maintain the homeostasis of the body， and has fewer adverse reactions. It has achieved good clinical results. In recent years， a large number of studies have shown that TCM can reduce the inflammatory response by regulating the Toll-like receptor 4（TLR4） signaling pathway， thereby reducing the severity and mortality of sepsis patients. However， there is still a lack of systematic exposition of TCM regulating TLR4 signaling pathway in the treatment of sepsis. Therefore， this article summarizes the relationship between TLR4 signaling pathway and sepsis and the mechanism of TCM in the disease by searching and consulting relevant literature in recent years. It is found that some Chinese medicine monomers and active ingredients， Chinese medicine compounds and Chinese medicine preparations can effectively reduce systemic inflammatory response， repair organ damage and improve the prognosis of sepsis by inhibiting the activation of TLR4 signaling pathway. However， due to various limitations， some studies have directly focused on the differential expression and function of TLR4， ignoring the downstream molecular expression and phenotypic effects of TLR4. The alternative mechanism， relationship and specific molecular mechanism of the pathway are still unclear. There are problems such as unclear pharmacokinetics and unclear mechanism in the pro- and anti-inflammatory balance， which need to be further studied and explored in order to provide new ideas for the potential treatment and drug development for sepsis.