Objective To investigate the association of vitamin D receptor gene (Apa1,Bsm1,Taq1) polymorphisms with autoimmune liver diseases risk.Metiods Case control test documents were retrieved through Pubmed,Ovid,Medline,and Web of science databases,according to the inclusion and exclusion criteria included in this study.The design of experiments,the characteristics of the object of study,research results was excerpted,STATA version 12.0 software were used.The correlation intensity was demonstrated with odds ratio (OR) and 95％ confidence interval (CI).Results A total of 6 publications containing 9 studies (7 studies about primary biliary cirrhosis,2 studies about autoimmune hepatitis) published from January 2000 to February 2012 were identified and 844 cases and 1 522 controls were included.The combined results based on all studies showed that there was a statistically significant link between Apa 1 and autoimmune liver diseases (OR =0.85,95％ CI 0.74-0.96,P =0.058,for a vs.A; OR =0.75,95％ CI 0.58-0.97,P =0.212,for aa vs.AA;OR =0.78,95％ CI 0.63-0.98,P =0.235,for Aa vs.AA; OR =0.77,95％ CI 0.63-0.94,P =0.231,for Aa/aa vs.AA),while the Bsm 1 and Taq 1 didn' t show the association with autoimmune liver diseases.Conclusion The current meta-analysis shows that Apal may be a low-penetrant risk factor for autoimmune liver diseases.Bsm1 and Taq1 don't show the association with autoimmune liver diseases.

Objective To investigate the application value of MRS in temporal lobe epilepsy (TLE) without hippocampal sclerosis.Methods A retrospective study was conducted in 23 unilateral TLE patients (TLE group) with absence of hippocampal sclerosis and 20 age-matched normal control subjects (control group).All of them underwent conventional MRI and MRS.N-acetyl aspartate (NAA)/creatine (Cr),choline (Cho)/Cr ratios of bilateral hippocampus in 2 groups were analyzed.Eleven of 23 patients underwent surgical treatment,pathological findings and surgical outcomes were evaluated.Results The NAA/Cr ratios of ipsilateral hippocampus significantly decreased compared with that in the contralateral hippocampus (t=-7.97,P＜0.001) and the control group (t=-9.96,P＜0.001).There was no significant difference between the contralateral hippocampus in patients and the control group (t=-1.21,P=0.12).The Cho/Cr ratios of ipsilateral hippocampus in TLE had no significant difference compared with contralateral hippocampus (t=0.50,P=0.31) and the control group (t=-0.59,P=0.28).The pathological findings of the 11 patients who underwent temporal lobe resection indicated small amounts of neuronal loss and unobvious gliosis.Conclusion MRS is helpful in clinical practice to lateralize and localize the epileptogenic foci in the absence of hippocampal sclerosis in patients with TLE.

Objective: To investigate the neural connections between Shenmen (HT7)-heart and the brain by observing the tracing viruses co-labeled brain nuclear groups after injection of the pseudorabies viruses (PRV), the reverse transsynaptic virus tracer carrying different fluorescent protein genes, into the myocardium and Shenmen (HT7) point, respectively.Methods: Pseudorabies virus 531 (PRV531) carrying the green fluorescent protein gene and pseudorabies virus 724 (PRV724) carrying the red fluorescent protein gene were injected into the left ventricular wall and Shenmen (HT7) point area of the left forelimb of six C57BL/6 mice, respectively. After 120 h, whole brain tissue was extracted under 4％ paraformaldehyde perfusion to prepare brain sections. Neuronal co-labeling with the tracing viruses was observed under fluorescence microscopy. Results: Co-labeled signals from the mouse ventricular wall and Shenmen (HT7) point region were found at all levels of the mouse central nervous areas, such as the cerebral cortex, hypothalamus, midbrain, pons, and medulla oblongata. The number of co-labeled neurons was higher in the primary motor area, the hypothalamic paraventricular nucleus, the subceruleus nucleus, and the paramedian reticular nucleus. Conclusion: There is a neural connection between Shenmen (HT7), the heart, and the brain, which may be most closely related to the autonomic nervous system.

Objective:To analyze the levels of T lymphocyte subsets (CD3, CD4, CD8 and CD4/CD8) in patients with paraquat poisoning, and to explore the relationship between the changes of T lymphocyte subsets and the prognosis of pulmonary fibrosis.Methods:In October 2019, a total of 47 patients with oral 20% paraquat low water solvent poisoning in Guangzhou 12th people's Hospital from June 2018 to June 2019 were selected as the research objects. Patients were divided into early death group (16 cases died within 2 weeks) and non early death group (31 cases survived more than 2 weeks) . The non early death group was divided into pulmonary fibrosis group (23 cases) and normal lung group (8 cases) . 20 healthy people in the same period were randomly selected as the control group. The neutrophils (N) , C reaction protein (CRP) , alanine aminotransferase (ALT) , creatinine (Cr) , amylase (aAMY) , creatine kinase isoenzyme (CKMB) , pH, HCO 3-, blood oxygen saturation (SO 2) and lactic acid (Lac) of patients poisoned within 3 d were examined every day. Independent sample t-test was used for inter group comparison, and paired sample t-test was used for intra group comparison. Results:Compared with non early death group, the levels of N, CRP, ALT, Cr, aAMY, CKMB and Lac in early death group increased ( P<0.05) , while pH and HCO 3- decreased ( P<0.05) . Compared with the control group, the levels of CD3, CD4 and CD4/CD8 were decreased on the first day in the early death group and non early death group ( P<0.05) , and the levels of CD3, CD4 and CD4/CD8 were decreased on the 15th day in the pulmonary fibrosis group ( P<0.05) . Compared with the normal lung group, the levels of CD3, CD4 and CD4/CD8 in the pulmonary fibrosis group decreased on the 15th day ( P<0.05) . Conclusion:The persistent low cellular immune function in patients with paraquat poisoning is related to the progress of pulmonary fibrosis, which is an important factor affecting the prognosis of patients with pulmonary fibrosis.

Objective:To analyze the levels of T lymphocyte subsets (CD3, CD4, CD8 and CD4/CD8) in patients with paraquat poisoning, and to explore the relationship between the changes of T lymphocyte subsets and the prognosis of pulmonary fibrosis.Methods:In October 2019, a total of 47 patients with oral 20% paraquat low water solvent poisoning in Guangzhou 12th people's Hospital from June 2018 to June 2019 were selected as the research objects. Patients were divided into early death group (16 cases died within 2 weeks) and non early death group (31 cases survived more than 2 weeks) . The non early death group was divided into pulmonary fibrosis group (23 cases) and normal lung group (8 cases) . 20 healthy people in the same period were randomly selected as the control group. The neutrophils (N) , C reaction protein (CRP) , alanine aminotransferase (ALT) , creatinine (Cr) , amylase (aAMY) , creatine kinase isoenzyme (CKMB) , pH, HCO 3-, blood oxygen saturation (SO 2) and lactic acid (Lac) of patients poisoned within 3 d were examined every day. Independent sample t-test was used for inter group comparison, and paired sample t-test was used for intra group comparison. Results:Compared with non early death group, the levels of N, CRP, ALT, Cr, aAMY, CKMB and Lac in early death group increased ( P<0.05) , while pH and HCO 3- decreased ( P<0.05) . Compared with the control group, the levels of CD3, CD4 and CD4/CD8 were decreased on the first day in the early death group and non early death group ( P<0.05) , and the levels of CD3, CD4 and CD4/CD8 were decreased on the 15th day in the pulmonary fibrosis group ( P<0.05) . Compared with the normal lung group, the levels of CD3, CD4 and CD4/CD8 in the pulmonary fibrosis group decreased on the 15th day ( P<0.05) . Conclusion:The persistent low cellular immune function in patients with paraquat poisoning is related to the progress of pulmonary fibrosis, which is an important factor affecting the prognosis of patients with pulmonary fibrosis.

Artificial intelligence (AI) has important significance and great promise in the pathological diagnosis,imaging diagnosis,prognosis prediction,and molecular subtyping of prostate cancer (PCa). This review focuses on the progress of AI for the diagnosis and molecular classification of PCa,and briefly introduces the application of AI in the pathological diagnosis of needle biopsy and Gleason grading,pathological diagnosis and grading after prostatectomy,and prognosis prediction of PCa patients based on pathological sections. For the pathological diagnosis of needle biopsy and Gleason grading,AI has already comparable to general pathologists;for the pathological diagnosis and grading after prostatectomy,AI can accurately grade and classify tumors;and for the prognosis prediction of PCa patients,AI can directly extract relevant prognostic information from pathological tissue sections for prognosis prediction. In addition,AI can also predict gene mutations in PCa patients and suggest the probability of gene mutation by analyzing the pathological sections.

AIM:To investigate the therapeutic effect of enteric-coated sustained-release new dosage form of tadalafil on mice with renal fibrosis caused by unilateral ureteral obstruction(UUO).METHODS:Eight-week-old male C57BL/6J mice were divided into four groups randomly:sham group,UUO group,UUO+new dosage form of tadalafil(1 mg/kg)group and UUO+original patented drug of tadalafil(5 mg/kg)group.Surgery was performed to create a mouse UUO model,and therapeutic drugs were administered intragastrically for 7 d after modeling.A fully automated biochemi-cal analyzer was used to detect serum creatinine(SCr)levels of each group.Through renal histopathological staining(HE staining,Masson trichrome staining,and immunohistochemistry staining)and Western blot,we assessed the therapeutic effect of enteric-coated sustained-release new dosage forms of tadalafil on kidney fibrosis in mice,as well as its effect on the expression and distribution of fibronectin(FN)and α-smooth muscle actin(α-SMA).RESULTS:Compared with sham group,the SCr levels were significantly increased in mice with renal fibrosis,and renal tubules were dilated and in-filtrated with inflammation.Moreover,the expressions of FN and α-SMA were increased significantly(P<0.05).New dosage form and the original patented drug tadalafil both significantly reduced SCr levels in mice with renal fibrosis,im-proved the renal tissue structure on the affected side,reduced collagen fiber deposition,and inhibited FN and α-SMA ex-pression(P<0.05).CONCLUSION:Enteric-coated sustained-release new dosage form of tadalafil reduces the deposit of extracellular matrix in kidney interstitial tissue and attenuates fibrosis and renal function damage caused by ureteral ob-struction.New dosage form of tadalafil has significant advantages over the original patented drug because the low dose and high effectiveness.

Objective:Glioblastoma(GBM)and brain metastases(BMs)are the two most common malignant brain tumors in adults.Magnetic resonance imaging(MRI)is a commonly used method for screening and evaluating the prognosis of brain tumors,but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited.In recent years,deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system.This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases(SBMs),and to further explore the impact of multimodality data fusion on classification tasks. Methods:Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed.First,structural T1-weight,T1C-weight,and T2-weight were selected as 3 inputs to the entire model,regions of interest(ROIs)were manually delineated on the registered three modal MR images,and multimodality radiomics features were obtained,dimensions were reduced using a random forest(RF)-based feature selection method,and the importance of each feature was further analyzed.Secondly,we used the method of contrast disentangled to find the shared features and complementary features between different modal features.Finally,the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. Results:The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs.Furthermore,compared with single-modal data,the multimodal fusion models using machine learning algorithms such as support vector machine(SVM),Logistic regression,RF,adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT)achieved significant improvements,with area under the curve(AUC)values of 0.974,0.978,0.943,0.938,and 0.947,respectively;our comparative disentangled multi-modal MR fusion method performs well,and the results of AUC,accuracy(ACC),sensitivity(SEN)and specificity(SPE)in the test set were 0.985,0.984,0.900,and 0.990,respectively.Compared with other multi-modal fusion methods,AUC,ACC,and SEN in this study all achieved the best performance.In the ablation experiment to verify the effects of each module component in this study,AUC,ACC,and SEN increased by 1.6%,10.9%and 15.0%,respectively after 3 loss functions were used simultaneously. Conclusion:A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Objective:To analyze the epidemiological characteristics of indigenous 2019-nCoV infection in population under 18 years old in 31 provinces of China, and provide evidence for the prevention and control of COVID-19.Method:Demographic and epidemiologic information of children and adolescents with 2019-nCoV infection reported in China between April 29, 2020 and May 31, 2022 were collected from China's Disease Prevention and Control Information System. We analyzed the epidemiological characteristics of the 2019-nCoV infection in children and adolescents and compared the epidemiological characteristics of the cases at different epidemic stages.Result:A total of 63 916 indigenous 2019-nCoV infection cases in children and adolescents were reported in China from April 29, 2020 to May 31, 2022, in which 14 777 (23.12%) were confirmed cases and 49 139 (76.88%) were asymptomatic cases. An obvious incidence peak (40 864 cases) was observed in April, 2022, and two sub-peaks were observed in January, 2020 and January, 2021, respectively. The 2019-nCoV infection cases occurred in 187 cities above prefecture level in 30 provinces, the cases reported in Shanghai (41 562 cases), Changchun (5 753 cases) and Jilin (3 888 cases) accounted for 80.11% of the total cases (51 203/63 916). The proportion of the cases in males was 54.34%. The age of the cases, M ( Q1, Q3) was 10 (5, 14) years, and 57.73% of the cases were 6 - 15 years old. The cases in students accounted for the highest proportion (56.14%). The interval between illness onset and diagnosis of confirmed cases, M ( Q1, Q3) was 1 (0, 2) days. Among the 2019-nCoV infection cases in children and adolescents, 76.88% were asymptomatic, 21.78% were mild ones, 1.32% were moderately severe ones, 0.02% were severe ones, and there were no critical cases and deaths. Compared with other age groups, the proportion of severe or critical cases was higher in children aged <1 year (0.12%). The proportion of asymptomatic infections was highest in Omicron variant epidemic (78.43%). Conclusion:The 2019-nCoV infection cases in children and adolescents aged <18 years in 31 provinces in China were mainly primary and secondary school students aged 6-15 years. Most cases were asymptomatic and mild ones with low clinical severity. It is still necessary to strengthen the surveillance for 2019-nCoV infection in children and adolescents to improve the prevention and control of COVID-19 in school age children.

Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.