Diabetic cognitive dysfunction （DCD） is one of the complications of diabetes， which is characterized by impaired brain structure and progressively decreased learning and memory ability. With the increasing incidence of diabetes worldwide， DCD has become a serious medical and social problem. However， its pathophysiological mechanisms are not well understood. The occurrence and development of DCD involve multiple pathological links and mechanisms， and the prevention and treatment require multi-link and multi-target therapeutic measures. At present， there is no specific drug to prevent or improve DCD. Hypoglycemic drugs such as metformin and vigagliptin or anti-dementia drug including Donepezil are commonly used in clinical treatment to delay the occurrence and progression of cognitive dysfunction， but these drugs have a single target and obvious side effects. Traditional Chinese medicine has a long history in the prevention and treatment of diabetes and central cognitive diseases， and it has many unique advantages such as multiple components， multiple targets， side effects， and low price. A large number of studies have confirmed that traditional Chinese medicine has a significant prevention and treatment effect on DCD， which can improve insulin resistance， synaptic dysfunction， inflammation， oxidative stress， endoplasmic reticulum stress， and neuronal apoptosis by regulating phosphatidylin-ositol 3-kinase （PI3K）/protein kinase B （Akt）， advanced glycation end products （AGEs）/advanced glycation end products receptor （RAGE）/nuclear transcription factor-κB （NF-κB）， NOD-like receptor thermal protein domain associated protein 3 （NLRP3） inflammasome， and endoplasmic reticulum stress and nuclear factor E₂ related factor 2 （Nrf2）/antioxidant response element （ARE） signaling pathways. This article reviewed the effects and related mechanisms of traditional Chinese medicine on DCD in recent years， so as to provide a reference for the prevention and treatment of DCD by traditional Chinese medicine.

Objective:To investigate the concern about pollen broadcasting in Chinese population from multiple dimensions and to understand the information about allergic rhinitis (AR) in China by analyzing related factors.Methods:From March 1 to September 30, 2022, a large-scale multi-center cross-sectional survey was conducted based on the Questionnaire Star platform in 21 Chinese hospitals. A total of 7 056 subjects from 7 regions in China: Northeast, North, East, Central, South, Southwest, and Northwest China were included. Basic characteristics (including social demographic characteristics and disease characteristics of AR patients), concern about pollen broadcasting, the willingness of pollen-induced AR (PiAR) patients to receive pollen broadcasting, and the treatment satisfaction rate of AR patients were collected. The chi-square test, multivariate linear regression model, and Logistic regression analysis were used to analyze the concern about pollen broadcasting in the Chinese population and related factors from multiple dimensions.Results:Among 7 056 subjects, 23.02% were concerned about pollen broadcasting. Among 3 176 self-reported AR and 1 019 PiAR patients, 25.60% and 39.16% were concerned about pollen broadcasting, respectively, which was higher than that of non-AR or non-PiAR subjects ( χ2 value was 21.74 and 175.11, respectively, both P<0.001). Among AR patients, the proportion of spring and autumn allergen-positive patients concerned about pollen broadcasting was higher than that in perennial allergen-positive patients ( χ2 value was 20.90 and 19.51, respectively, both P<0.001). The proportion of AR patients with asthma, sinusitis, allergic conjunctivitis, and cardiovascular and cerebrovascular diseases was higher than those without complications ( χ2 value was 50.83, 21.97, 56.78, 7.62, respectively, all P<0.05). The proportion of AR patients in North China who could find pollen broadcasting locally was 31.01%, significantly higher than those in other regions (all P<0.05). Multivariate linear regression model analysis showed that among PiAR patients, those with higher per capita household income and higher AR disease cognition levels had been concerned about pollen broadcasting in the past, and those complicated with allergic conjunctivitis had stronger intention to receive pollen broadcasting (B value was 0.24, 0.13, 0.66, 0.47, respectively, all P<0.05). The higher the disease cognition level of PiAR patients, the stronger their willingness to actively participate in treatment ( R2=0.72, P<0.001). Only 18.89% of AR patients felt satisfied with the treatment effect. Logistic regression analysis showed that in AR patients, the treatment satisfaction rate was significantly higher among those concerned about pollen broadcasting compared to those who were not ( OR=1.83, P<0.001). Conclusions:Currently, the dissemination of pollen broadcasting in China is hindered by various factors such as disease cognition level. The treatment satisfaction among AR patients remains unsatisfactory.

Chronic kidney disease（CKD）has a significant impact on global public health and is one of the important factors leading to the rise of incidence rate and mortality of non communicable diseases.Intestinal microecology is involved in many pathophysiological activities，such as immunity and nutrient absorption.With proposal of the concept of intestine-kidney axis in 2002，researchers found that the decline of glomerular filtration rate led to accumulation of uremic toxins in intestine，destroyed the intestinal mucosal barrier，led to the translocation of toxins，activated the systemic oxidative stress response，further promoted the progress of CKD.This article reviewed the function of gut microbiota，intestine-gut kidney axis，and the application of microbial preparations in CKD.

Objective To develop and evaluate the equivalence of the Mandarin test material for tracking of noise tolerance(TNT)test.Methods Six different speech materials were developed(themes including daily life,entertainment,family,festivals,outdoors,and school).Four-minute TNT tests were measured in 21 normal hear-ing subjects using six different test materials.For each session,the tolerable noise level(TNL)and TNT scores were acquired and calculated for 3 time windows(31～240 s,31～120 s,151～240 s).Results Statistic analysis showed significant differences in the TNL(F=43.611,P＜0.05)among the normal hearing listeners.There were statistically significant differences in standardize z-scored TNT scores of the six different materials in the three time windows(P＜0.05).Post-hoc comparisons revealed that all significant differences involved the family and daily life themes.Conclusion Entertainment,festival,outdoors and school themed test materials can serve as the materials of Mandarin tracking of noise tolerance test and can be appied in research and clinical testing.

Japanese encephalitis is an acute central nervous system infectious disease caused by Japanese encephalitis virus (JEV) with brain parenchyma inflammation, characterized by high fever, headache, positive meningeal irritation, impaired consciousness, convulsion, and respiratory failure, with mortality rate as high as 20%-30%, and with neurological sequelae in 30%-50% of survivors. The mechanism of brain damage caused by JEV infection is still unclear, and some studies imply its close relation with immune-inflammatory response. This article reviews the research progress on immune-inflammatory response mechanism of Japanese encephalitis to help to understand its pathogenesis.

Objective:At present,the doctor-patient relationship is tense.The prevalence of negative emotions,such as depression and anxiety,among healthcare workers is increasing every year.Negative attitudes of medical workers toward mental problems may aggravate the doctor-patient conflict and psychological problems of medical workers.This study aims to explore the complex network relationships between outpatient medical workers'attitudes toward mental problems,doctor-patient relationships,and their depression/anxiety levels. Methods:A total of 578 outpatient medical staff from the Second Xiangya Hospital of Central South University(167 males,411 females)completed questionnaires on their attitudes toward mental problems,doctor-patient relationships,and depression/anxiety symptoms.Network analysis was conducted separately to construct the"attitude towards mental problems-doctor-patient relationship network"and"depression-anxiety related network". Results:The edge between"M15(insulting words)"and"D8(waste time)"showed the strongest strength in the"attitude towards mental problems-doctor-patient relationship network",and"M15(insulting words)"had the highest bridge strength in the network.For the analysis of emotional variables,"P1(anhedonia)"showed the most obvious association with"D10(communication difficulties)"in the doctor-patient relationship and"M2(poor quality of life)"in the psychiatric attitudes,and"P1(anhedonia)"was the key bridge symptom in the network. Conclusion:The"insulting words"may be an intervention target for medical workers'attitudes toward mental problems.The"anhedonia"in depression is the potential symptom that needs to be treated.Intervention targeting these variables may be beneficial to improve the mental health level of medical workers and the doctor-patient relationship.

Objective:To construct a biospecimen bank of patient derived organoids (PDOs) from pancreatic cancer tissues and to explore the feasibility of PDOs drug sensitivity assay technology to guide chemotherapy drug selection for pancreatic cancer.Methods:Pancreatic cancer tissue specimens obtained after surgical resection and puncture biopsy from Mar 2020 to Dec 2022 at Drum Tower Hospital, Nanjing University School of Medicine were collected. Pancreatic cancer PDOs were cultured in vitro and histologically identified; PDOs were treated with gemcitabine, Nab-paclitaxel, fluorouracil, Oxaliplatin, and Irinotecan and cell viability was measured to analyze the correlation between PDOs drug sensitivity and the actual clinical treatment response.Results:The PDOs can reproduce the pathological features of corresponding tumor tissues; the sensitivity of different PDOs to the same chemotherapeutic drug is significantly different; The sensitivity of PDOs was highly consistent with the actual treatment effect of the corresponding patients 75.76% (25/33); organoid organ-based susceptibility testing had predictive value for the treatment response of patients (AUC=0.733, 95% CI: 0.546-0.919, P<0.05). Conclusion:A biobank of pancreatic cancer PDOs was successfully constructed, and the drug susceptibility test results were significantly correlated with the actual medication response of patients, suggesting that the drug susceptibility test technology based on PDOs has the potential to guide individualized chemotherapy for pancreatic cancer.

Currently， evidence on the efficacy and risk of traditional Chinese medicine （TCM） injections is seriously insufficient， and it is difficult to evaluate TCM injections comprehensively， truly and objectively using available efficacy evaluation indicators. Therefore， establishing a clinical efficacy evaluation system that can effectively reflect TCM injections is imperative. Core outcome set （COS） has played an important role in screening TCM efficacy evaluation indicators， however， there are still certain problems， such as large differences in efficacy indicators， non-standardization， and lack of featured and specific TCM indicators. Mixed method research （MMR） has the advantages of looking at problems from both quantitative and qualitative perspectives. It is thereby proposed to use COS and MMR integrated model to establish a clinical efficacy evaluation indicator system that not only fully considers the cha-racteristics of TCM injections， but also highlights the efficacy and advantages of TCM injections from the perspective of TCM intervention. Simultaneously， an indicator screening method using MMR to optimize COS research model is formulated， which can provide ideas for the research on efficacy evaluation indicators of TCM injections.

OBJECTIVE: To investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction. METHODS: This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T₁WI, T₂WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques. RESULTS: The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI. CONCLUSION The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.
Humans ; Carcinoma, Hepatocellular ; Retrospective Studies ; Liver Neoplasms ; Magnetic Resonance Imaging ; Algorithms

We aim to screen out the active components that may have therapeutic effect on coronavirus disease 2019 (COVID-19) from the severe and critical cases' prescriptions in the "Coronavirus Disease 2019 Diagnosis and Treatment Plan (Trial Ninth Edition)" issued by the National Health Commission of the People's Republic of China and explain its mechanism through the interactions with proteins. The ETCM database and SwissADME database were used to screen the active components contained in 25 traditional Chinese medicines in 3 prescriptions, and the PDB database was used to obtain the crystal structures of 4 proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Molecular docking was performed using Autodock Vina and molecular dynamics simulations were performed using GROMACS. Binding energy results showed that 44 active ingredients including xambioona, gancaonin L, cynaroside, and baicalin showed good binding affinity with multiple targets of SARS-CoV-2, while molecular dynamics simulations analysis showed that xambioona bound more tightly to the nucleocapsid protein of SARS-CoV-2 and exerted a potent inhibitory effect. Modern technical methods are used to study the active components of traditional Chinese medicine and show that xambioona is an effective inhibitor of SARS-CoV-2 nucleocapsid protein, which provides a theoretical basis for the development of new anti-SARS-CoV-2 drugs and their treatment methods.
Humans ; SARS-CoV-2 ; Molecular Docking Simulation ; Medicine, Chinese Traditional ; Molecular Dynamics Simulation ; Nucleocapsid Proteins ; Antiviral Agents/pharmacology* ; COVID-19 Drug Treatment