Objective To analyze the correlation between tongue image features and the risk levels of disease in patients with idiopathic membranous nephropathy(IMN).Methods Based on IMN clinical research electronic data acquisition system,a cross-sectional study method was used to analyze the clinical diagnosis and treatment data of 135 IMN patients from Guangdong Provincial Hospital of Chinese Medicine.The patients were grouped according to the risk levels of disease,and then the correlation between the risk levels of disease and tongue image features was analyzed.During the description of tongue image features,TB is for tongue body,TC is for tongue coating,L is for luminance,a is for red-green axis,G is for the value of green,B is for the value of blue,and AUT is for the value of autocorrelation.Results The comparison of tongue image feature indicators of patients with different risk levels of IMN showed that:(1)the higher the level of disease risk of IMN patients,the greater the values of TB-L,TB-G and TB-B(P<0.05 or P<0.01).The values of tongue image indicator TB-a and TC-a of the patients with different risk levels of IMN were shown in decreasing sequence:low-risk group>high-risk group>middle-risk group>extremely-high-risk group(P<0.05).(2)Linear regression analysis showed that TB-L,TB-G,and TB-B were significantly increased in the high-risk group compared with those in the middle-and low-risk groups(P<0.05 or P<0.01),whereas there were no significant differences between the middle-risk group and low-risk group(P>0.05).(3)The results of correlation analysis showed that there was a positive correlation among most of the tongue image feature indicators(including TB-L,TB-G,TB-B,TB-AUT,TC-L,TC-G,and TC-B,etc.)and the risk level of disease,while TB-a was negatively correlated with the risk level of disease,and the differences were all statistically significant(P<0.05 or P<0.01).(4)All patients were treated with Chinese medicine and/or Chinese patent medicine,and 46.7%of patients were given hormones and immunosuppressants,and there was no statistically significant difference in the the use of hormones and immunosuppressants among various groups(P=0.637).Conclusion There is a correlation between the tongue image features of IMN patients and the risk level of disease,and the results will provide an objective reference for the assessment of illness state and traditional Chinese medicine(TCM)syndrome differentiation of IMN patients.With reference to the changes in the tongue image features,the illness state can be precisely identified,which is more accurate than the inspection of four diagnostic methods of TCM.

Objective To construct a model combining with traditional Chinese medicine(TCM)syndrome for predicting the risk of disease progression in patients with idiopathic membranous nephropathy(IMN)by machine learning methods,thus to quantitatively evaluating the value of TCM syndrome in the prediction of the risk of disease progression in IMN.Methods Monofactor analysis,recursive feature elimination(RFE)and multivariate binary Logistic regression analysis were used to screen the independent related factors affecting the risk of disease progression of IMN,and then a risk prediction model was constructed.A total of 102 patients with IMN were randomly assigned to the training set and the test set in a ratio of 65∶35,and then the comparison was conducted in the performance indicators of accuracy,sensitivity,specificity,F1 value,and area under the receiver operating characteristic(ROC)area under the curve(AUC)of the risk prediction model with or without the inclusion of the TCM syndrome information.Results Before the inclusion of TCM syndrome information,12 clinical characteristic variables for patients with MN were obtained after monofactor analysis combined with RFE screening,and they were age,hemoglobin quantification,urinary occult blood,24-hour urine protein quantification,urine protein-creatinine ratio,estimated glomerular filtration rate(eGFR),creatinine,uric acid,alanine transaminase,anti-phospholipase A2 receptor antibody(PLA2R-Ab),total cholesterol,and low-density lipoprotein cholesterd.A risk cholesterol prediction model containing the above variables was constructed.The multivariate binary Logistic regression analysis showed that the differences of the clinical variables mentioned above between the training-set group and test-set group were statistically significant,and the risk prediction model presented good sensitivity and predictability.Monofactor analysis combined with RFE screening was performed again after the inclusion of TCM syndrome information,and then 14 variables were obtained,which included blood stasis syndrome and dampness obstruction syndrome.The sensitivity and specificity of the model with the inclusion of the TCM syndrome information were significantly improved when compared with those without the inclusion of TCM syndrome information.Conclusion The results of the study initially indicate that TCM syndrome can be used as an important supplementary variable for predicting the risk of disease progression in IMN,and will provide a reference for intelligent diagnosis through the integration of traditional Chinese and western medicine information,and will supply the guidance for the treatment of IMN with TCM.

Chronic pancreatitis(CP)is a progressive fibroinflammatory disease characterized by destruction of pancreatic aci-nar cells,infiltration of inflammatory cells,activation of pancreatic stellate cell(PSC),and pancreatic fibrosis.Autophagy partici-pates in the maintenance of cell homeostasis.Recent studies have shown that autophagy closely related to the occurrence and develop-ment of CP.However,several autophagy types in the pancreatic microenvironment play different roles in the progression of CP.The autophagy of acinar cells has a"double-edged sword"effect.PSC autophagy is positively correlated with its activation,while the role of autophagy of inflammatory cells is still unclear.This study focused on some key cells in the CP microenvironment and explored the role and mechanism of autophagy in the progression of CP.

Concurrent chemoradiotherapy (CCRT) refers to the simultaneous treatment of chemotherapy and radiotherapy, and the effect of radiotherapy is enhanced with low-dose chemotherapy, which can reduce tumor recurrence and metastasis and improve clinical prognosis of patients. At present, the main factors for the increase of radiosensitivity of concurrent chemotherapy is that concurrent chemotherapy prevents the repair of tumor cells, and chemotherapy and radiotherapy act on different cell cycles and have synergistic effects. However, even for patients with locally advanced cervical cancer (LACC) who have undergone CCRT, the 5-year survival rate is only 60%, which is still not ideal. In order to improve the efficacy, researchers have conducted a series of exploratory studies, which consist of the combination of targeted drugs and immunodrugs, and neoadjuvant regimens before CCRT, etc. Although targeted or immunologic drugs are effective treatment of LACC, in view of the lack of large-scale evidence-based medical evidence, multi-center prospective and randomized phase III clinical trials and high-level articles are needed to improve the level of evidence-based medicine. This consensus summarizes several key evidence-based medical studies published recently, especially the clinical research progress in targeted and immunological therapies, providing reference for domestic peers.

Purpose: Radiation-induced dermatitis (RD) is a common side-effect of therapeutic ionizing radiation that can severely affect patient quality of life. This study aimed to develop a risk prediction model for the occurrence of RD in patients with cervical carcinoma undergoing chemoradiotherapy using electronic medical records (EMRs). Methods: Using EMRs, the clinical data of patients who underwent simultaneous radiotherapy and chemotherapy at a tertiary cancer hospital between 2017 and 2022 were retrospectively collected, and the patients were divided into two groups: a training group and a validation group. A predictive model was constructed to predict the development of RD in patients who underwent concurrent radiotherapy and chemotherapy for cervical cancer. Finally, the model's efficacy was validated using a receiver operating characteristic curve. Results: The incidence of radiation dermatitis was 89.5% (560/626) in the entire cohort, 88.6% (388/438) in the training group, and 91.5% (172/188) in the experimental group. The nomogram was established based on the following factors: age, the days between the beginning and conclusion of radiotherapy, the serum albumin after chemoradiotherapy, the use of single or multiple drugs for concurrent chemotherapy, and the total dose of afterloading radiotherapy. Internal and external verification indicated that the model had good discriminatory ability. Overall, the model achieved an area under the receiver operating characteristic curve of .66. Conclusions The risk of RD in patients with cervical carcinoma undergoing chemoradiotherapy is high. A risk prediction model can be developed for RD in cervical carcinoma patients undergoing chemoradiotherapy, based on over 5 years of EMR data from a tertiary cancer hospital.

Pancreatic cancer (PC) has the characteristics of insidious onset, rapid progression, and poor prognosis. Up to now, there are no standard clinical regimens for the treatment of PC, and the benefit rate of new targeted therapy remains at a relatively low level, which results in the high mortality rate of PC. Therefore, an understanding of the development and progression mechanisms for PC has become a difficult issue to be solved, and establishment of reliable animal models for PC is the basis for exploring the development, progression, invasion, and metastasis of PC and the optimization of effective therapeutic targets. At present, a large number of studies have established various animal models for PC, and this article compares the commonly used animal models to provide a reference for the selection of animal models in PC research.

Apparently balanced chromosomal structural rearrangements are known to cause male infertility and account for approximately 1% of azoospermia or severe oligospermia. However, the underlying mechanisms of pathogenesis and etiologies are still largely unknown. Herein, we investigated apparently balanced interchromosomal structural rearrangements in six cases with azoospermia/severe oligospermia to comprehensively identify and delineate cryptic structural rearrangements and the related copy number variants. In addition, high read-depth genome sequencing (GS) (30-fold) was performed to investigate point mutations causative of male infertility. Mate-pair GS (4-fold) revealed additional structural rearrangements and/or copy number changes in 5 of 6 cases and detected a total of 48 rearrangements. Overall, the breakpoints caused truncations of 30 RefSeq genes, five of which were associated with spermatogenesis. Furthermore, the breakpoints disrupted 43 topological-associated domains. Direct disruptions or potential dysregulations of genes, which play potential roles in male germ cell development, apoptosis, and spermatogenesis, were found in all cases (n = 6). In addition, high read-depth GS detected dual molecular findings in case MI6, involving a complex rearrangement and two point mutations in the gene DNAH1. Overall, our study provided the molecular characteristics of apparently balanced interchromosomal structural rearrangements in patients with male infertility. We demonstrated the complexity of chromosomal structural rearrangements, potential gene disruptions/dysregulation and single-gene mutations could be the contributing mechanisms underlie male infertility.
Azoospermia/genetics* ; Chromosome Aberrations ; Humans ; Infertility, Male/genetics* ; Male ; Oligospermia/genetics* ; Translocation, Genetic

Objective:To investigate the effects of rituximab on lymphocytes and immunoglobulin in the treatment of focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD).Methods:The subjects were FSGS and MCD patients admitted to Ruijin Hospital affiliated to Shanghai Jiaotong University on July 1, 2014 and July 1, 2019. All the enrolled patients were confirmed by clinical examination and renal biopsy, and received rituximab treatment (4 infusions of 375 mg/m 2 with the interval of 7-14 d). The levels of immunoglobulin IgA, IgG, IgM, and lymphocytes of CD19 +, CD20 +, CD3 +, CD3 +CD4 +, CD3 +CD8 + and natural killer cells (CD56 +CD16 +) were compared between baseline and the third month, the sixth month, the ninth month and the twelfth month after treatment. Results:Ninety-six patients with FSGS or MCD were enrolled in this study. The midian age was 28 years old (14-77 years old). The ratio of men to woman was 1.8∶1. There were 65 cases of MCD and 31 cases of FSGS. After rituximab treatment, the 24 h-proteinuria was significantly lower than that before treatment, and the serum albumin level was increased (both P<0.05). After rituximab treatment of 3 months, 6 months, 9 months and 12 months, CD19 + and CD20 + lymphocyte counts were significantly decreased (all P<0.01), and gradually recovered after 6 months. Compared with baseline, at 3, 6, 9, 12 months after rituximab treatment, the level of blood IgG was significantly increased ( P=0.004,<0.001,<0.001,<0.001, respectively), and the level of blood IgM was significantly decreased ( P<0.001, =0.008, =0.005,<0.001, respectively) but the median level still within the normal range (400-3 450 mg/L). The level of blood IgA was not significantly changed (all P<0.05). T lymphocytes (CD3 +, CD3 +CD4 + and CD3 +CD8 +) and natural killer cells (CD56 +CD16 +) showed no significant difference from baseline (all P>0.05). Conclusions:Rituximab can effectively eliminate CD19 + and CD20 + lymphocytes, and has little influence on peripheral blood lymphocyte count and immunoglobulin level except CD19 + and CD20 + lymphocytes. The standard administration of rituximab is safe for patients with FSGS and MCD.

Objective　To confirm the effect of the pandemic on the health seeking behavior of patients by analyzing the changes of onset to door time（ODT） of patients with acute ischemic stroke（AIS） before and after the pandemic of COVID-19.Methods　Consecutive cases of hospitalized patients with AIS who visited the University of Hong Kong-Shenzhen Hospital in the same time span and at different periods were collected，including 100 cases in the pre-pandemic group（pre-PG），64 cases in the post-pandemic group（post-PG），and 86 cases in the Spring Festival group（SFG-19） in 2019.The chi-square test or t-test were used to analyze changes of ODT；Patients whose ODT more than 12 hours in post-PG were followed up，and descriptive statistics were performed on the reasons for delay of arrival. Results　The ODT of the post-PG was significantly prolonged compared with the pre-PG ［（38.8±69.9） hours vs （17.9±26.7） hours，P<0.05］，and the SFG-19 ［（38.8±69.9） hours vs （20.0±27.6）hours，P<0.05］. The proportion of ODT within 4.5 hours （28.1% vs 44%，P<0.05），6 hours （31.2% vs 48%，P<0.05），and 24 hours （62.5% vs 79%，P<0.05） in the post-PG was significantly less than the pre-PG. The proportion of ODT within 4.5 hours （28.1% vs 44.2%，P<0.05） and 6 hours （31.2% vs 48.8%，P<0.05） in the post-PG was significantly less than the SFG-19，but there was no significant difference in 24 hours （62.5% vs 74.4%，P>0.05）. The follow-up questionnaire found that the main reason for the delay of ODT as below：fear of infection with the virus，lack of knowledge about stroke，and insufficient attention，accounting for 66%，40%，and 37% of the respondents，respectively. Conclusion　The pandemic of COVID-19 significantly delay the ODT of patients with AIS and adversely affect its treatment.

Objective To investigate the potential value of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting long-term survival of cervical cancer treated by concurrent chemoradiotherapy. Methods Uterine cervical cancer patients who received chemo-radiation therapy during 2008 to 2014 in a single institute were retrospectively collected and followed up. Pre-treatment DCE-MRI images were retrieved to generate four hemodynamic related parameters including positive enhancement integral (PEI), maximum slop of increase (MSI), maximum slope of decrease (MSD) and signal enhancement ratio (SER). Region of interests were drawn manually on T2WI along the rim of tumors on each slice, and were then registered to DCE-MRI parametric maps. Histogram analysis software was used to calculate the mean, median, maximum, minimum,10th percentile, 90th percentile, kurtosis and skewness values for each DCE-MRI parameters. Median follow-up time was 54.7 months (range 2.1 to 94.6 months). Uni-and multivariable Cox regression analyses were used to evaluate correlation between the above values and the disease free survival (DFS). Kaplan-Meier curve was used to evaluate survival time. Results Of the 75 patients, 16 of them died from cervical cancer, 3 patients had metastasis, and 1 patient continued to progress. Median, mean, 10th and 90th percentile from MSI, and minimum, kurtosis, skewness were the influencing factors of disease-free survival of cervical cancer with concurrent chemoradiotherapy (P<0.1) Pearson relationship analysis and multivariable Cox regression analysis was performed which indicated PEI kurtosis value of cervical cancer was an independent influencing factor for cervical cancer without disease survival (hazard ratio 1.658, P=0.001). Conclusion PEI kurtosis was an independent factor for DFS of locally advanced cervical cancer treated with concurrent chemoradiotherapy.