The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Acupuncture, a therapeutic treatment defined as the insertion of needles into the body at specific points (ie, acupoints), has growing in popularity world-wide to treat various diseases effectively, especially acute and chronic pain. In parallel, interest in the physiological mechanisms underlying acupuncture analgesia, particularly the neural mechanisms have been increasing. Over the past decades, our understanding of how the central nervous system and peripheral nervous system process signals induced by acupuncture has developed rapidly by using electrophysiological methods. However, with the development of neuroscience, electrophysiology is being challenged by calcium imaging in view field, neuron population and visualization in vivo. Owing to the outstanding spatial resolution, the novel imaging approaches provide opportunities to enrich our knowledge about the neurophysiological mechanisms of acupuncture analgesia at subcellular, cellular, and circuit levels in combination with new labeling, genetic and circuit tracing techniques. Therefore, this review will introduce the principle and the method of calcium imaging applied to acupuncture research. We will also review the current findings in pain research using calcium imaging from in vitro to in vivo experiments and discuss the potential methodological considerations in studying acupuncture analgesia.
Calcium ; Acupuncture Therapy ; Acupuncture ; Acupuncture Analgesia/methods* ; Acupuncture Points ; Technology

The expression of vascular endothelial growth factor(VEGF)in ovarian cancer tissues is closely related to the degree of malignancy of ovarian cancer,and can be an effective target for ovarian cancer treatment.Bevacizumab,as a monoclonal antibody targeting VEGF,can inhibit tumor neovascularization and tumor growth,and is used for the treatment of ovarian cancer,cervical cancer,metastatic colorectal cancer and other malignant tumors.Bevacizumab administered by intraperitoneal perfusion has good efficacy for malignant ascites in tumor patients,and can alleviate patients'clinical symptoms.In recent years,more studies have explored the clinical application method,therapeutic efficacy and related adverse effects of bevacizumab intraperitoneal instillation in the treatment of ovarian cancer,and this article is a review in this field,aiming to provide reference for the clinical treatment of ovarian cancer.

Objective:This study aims to obtain the prevalence and features associated with Violence Against Children (VAC) in China and, thus, formulate a prevention strategy.Methods:The mortality-related data of VAC was sourced from the National Disease Surveillance Points System (DSP) during 2013-2021. We analyzed the DSP data regarding children aged 0-17 years old who died from violence. The hospital cases of VAC was sourced from the National Injury Surveillance System (NISS), 2013-2021. We analyzed the data from NISS with the parameter of "intentional injury" caused by VAC in children aged between 0-17 years. Using robust linear regression, we analyze the time trend in the proportion of violence incidence. To understand the variations in the incidence of different types of violence across genders, we apply the chi-square test and adjusted Pearson residuals.Results:The overall trend of death caused by VAC has declined; it was reduced to 0.14/100 000 in 2021 from 0.33/100 000 in 2013. In 2021, male VAC mortality (0.15/100 000) was higher than females (0.13/100 000). The proportion of VAC cases to all injury cases has declined from 3.34% in 2013 to 2.29% in 2021. Among 9 344 VAC cases supervised by hospitals in 2021, the number of males (7 503 cases) was around 4 times that of females (1 841 cases), and the top three modes of violence were blunt tools (64.77%), falls (7.46%) and sharp instruments (6.18%), and 45 cases of sexual violence included 38 girls and 7 boys.Conclusions:The declining death rate due to VAC may be related to the benign development of Chinese society. Prevention strategies targeting training in parenting skills and problem-solving should be prioritized.

Backgrounds Insomnia is frequent in schizophrenia and is found to be negatively affected by stressful life events,psychotic symptoms and depressive disorder,while the relationship among the four remains understudied in community-dwelling patients with schizophrenia.Objective To analyze the effect of stressful life events on insomnia in community-dwelling patients with schizophrenia,and to explore the mediation effect of psychotic symptoms and depression,so as to provide references for the intervention of insomnia in community-dwelling patients with schizophrenia.Methods From April to June 2023,a sample of 1 105 patients with schizophrenia attending 48 community health centers in Chengdu,Sichuan province and fulfilling the International Classification of Diseases,tenth edition(ICD-10)diagnostic criteria were included.All subjects were assessed using Stressful Life Event Scale(SLEs),Athens Insomnia Scale(AIS),Psychosis Screening Questionnaire(PSQ),and Patient Health Questionnaire Depression Scale(PHQ-9).Spearman correlation analysis was used to determine the correlation among the scales.Then the mediation model was constructed using Smart PLS 4.0,and tested with partial least squares algorithm and Bootstrap techniques.Results 332 patients(30.05%)with community schizophrenia were found to have insomnia.AIS scores in patients with schizophrenia were positively correlated with the scores on SLEs,PSQ and PHQ-9(r=0.165,0.322,0.554,P<0.01).Stressful life events indirectly contributed to insomnia through both separate mediation path and chained mediation path of psychotic symptoms and depressive disorder,and the indirect effect size of 0.102,0.372 and 0.190 was obtained,accounting for 10.46%,38.15%and 19.49%,respectively.Conclusion The stressful life events not only directly exert an impact on insomnia,but also indirectly contribute to insomnia through both the separate and chained mediation effect of psychotic symptoms and depressive disorder.

The National Health Commission of the People′s Republic of China has formulated the Quality Control Indexes for Oncology (2023 edition), with the objective of improving medical quality scientifically, refined and standardized. Among these indexes, the rate of pretreatment clinical TNM staging and the coincidence rate of evaluation of pretreatment TNM staging lay national standards for patients to formulate rational and targeted treatment strategies. This article reviewed the literature and referred to Chinese Medical Association Clinical Practice Guide for Breast Surgery, and presented recommendations for the hot topics of breast surgery, such as pathological sampling of the breast specimen, sentinel lymph node biopsy for early-stage breast cancer, breast conserving surgery, axillary lymph node dissection, breast reconstruction surgery, endoscopic-assisted breast surgery, the principles of surgical treatment for metastatic breast cancer, neoadjuvant treatment for advanced disease, and surgical grade of breast surgery, which have been widely concerned in recent years, to help improve homogenization of breast cancer treatment in China.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.

At present, there is no cure for acquired immune deficiency syndrome (AIDS) due to HIV-1 latent reservoirs. Therefore, it urgently requires novel HIV-1 latency-regulating agents with high potency, low toxicity and favorable drug-like properties to achieve a functional cure for AIDS. Herein, we reviewed the advances in HIV-1 latency-regulating agents since 2019, including the drug discovery strategies, bioactivities, and mechanisms of these compounds. It is of great guiding significance in the development of latency-regulating agents with clinical value.

The paper is to establish an UPLC-MS/MS method for the simultaneous determination of 19 components in Microctis Folium from different production areas. The 50% methanol was used as extraction solvent. The Agilent ZORBAX SB C18 (150 mm × 2.1 mm, 1.8 μm) column was used; mobile phase was acetonitrile - 0.1% acetic acid with gradient elution, flow rate was 0.3 mL·min^-1, colume temperature was 30 ℃, and the injection volume was 2 μL; electrospray ionizaton source was used and detected in negative ion mode. The results showed that the established UPLC-MS/MS method could well separate the 19 components, and the methodological investigation results of 19 components were good. By means of orthogonal partial least squares discriminant analysis (OPLS-DA), 28 batches of Microctis Folium samples from different production areas can be divided into three categories, Guangdong, Guangxi and Hainan are each classified into one category, and 10 signature compounds which affecting the quality differences of different production areas were screened out. The established method is accurate, reliable, sensitive and reproducible. It can provide a basis for the establishment of the quality standard of Microctis Folium, as well as for safety and quality research.