Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

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.

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

Coronary restenosis is an important cause of poor long-term prognosis in patients with coronary heart disease. Here, we show that lysine methyltransferase SMYD2 expression in the nucleus is significantly elevated in serum- and PDGF-BB-induced vascular smooth muscle cells (VSMCs), and in tissues of carotid artery injury-induced neointimal hyperplasia. Smyd2 overexpression in VSMCs (Smyd2-vTg) facilitates, but treatment with its specific inhibitor LLY-507 or SMYD2 knockdown significantly inhibits VSMC phenotypic switching and carotid artery injury-induced neointima formation in mice. Transcriptome sequencing revealed that SMYD2 knockdown represses the expression of serum response factor (SRF) target genes and that SRF overexpression largely reverses the inhibitory effect of SMYD2 knockdown on VSMC proliferation. HDAC3 directly interacts with and deacetylates SRF, which enhances SRF transcriptional activity in VSMCs. Moreover, SMYD2 promotes HDAC3 expression via tri-methylation of H3K36 at its promoter. RGFP966, a specific inhibitor of HDAC3, not only counteracts the pro-proliferation effect of SMYD2 overexpression on VSMCs, but also inhibits carotid artery injury-induced neointima formation in mice. HDAC3 partially abolishes the inhibitory effect of SMYD2 knockdown on VSMC proliferation in a deacetylase activity-dependent manner. Our results reveal that the SMYD2-HDAC3-SRF axis constitutes a novel and critical epigenetic mechanism that regulates VSMC phenotypic switching and neointimal hyperplasia.

Three 2,3-diketoquinoxaline alkaloids were isolated from Heterosmilax yunnanensis Gagnep. Their structures were determined through 1D and 2D NMR, HR-ESI-MS, UV, and IR as 1-[5′-(3″-hydroxy-3″-methyl) glutaryl] ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (1), 1-[2′-(3″-hydroxy-3″-methyl) glutaryl]ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (2), and 1-ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (3). Compounds 1 and 2 are novel compounds, and 3 was isolated from H. yunnanensis for the first time. The hepatoprotective activity of these three compounds was evaluated, with compound 3 showing promising hepatoprotective activity.

Objective To observe the clinical efficacy of Lingnan Traditional Vesiculating Moxibustion No.4 Recipe(mainly composed of Brassicae Junceae Semen,Euodiae Fructus,and Curcumae Radix)in the treatment of mild depressive disorder(DD),and to provide a novel approach to the treatment of mild DD population.Methods Sixty-one patients with mild DD were randomly divided into 31 cases in the trial group and 30 cases in the control group.The trial group was given medicinal vesiculation treatment with Lingnan Traditional Vesiculating Moxibustion No.4 Recipe,and the control group was given medicinal vesiculation treatment with the placebo of Lingnan Traditional Vesiculating Moxibustion No.4 Recipe.The treatment was performed twice a week and with an interval of 3-4 days between the treatment,and the course of treatment covered 6 weeks.The changes of Hamilton Depression Scale-17(HAMD-17)scores and Patient Health Questionnaire-9(PHQ-9)scores in the two groups were observed before and after the treatment.After treatment,the clinical efficacy and safety of the patients in the two groups were evaluated.Results(1)After 6 weeks of treatment,the total efficacy rate of the trial group was 77.42%(24/31),and that of the control group was 26.67%(8/30).The intergroup comparison(tested by rank sum test)showed that the efficacy of the trial group was significantly superior to that of the control group,and the difference was statistically significant(P＜0.01).(2)After treatment,the HAMD-17 scores and PHQ-9 scores of patients in the two groups were lower than those before treatment(P＜0.01),and the decrease of HAMD-17 and PHQ-9 scores in the trial group was significantly superior to that of the control group,the difference being statistically significant(P＜0.01).(3)During the trial,there were 5 cases of adverse events related to the vesiculating moxibustion treatment,and all 5 cases of adverse events occurred in the trial group,manifested as minor blisters at the acupoint application region.The 5 cases kept on participating in the trial after relevant treatment.Conclusion Lingnan Traditional Vesiculating Moxibustion No.4 Recipe can effectively relieve the clinical symptoms of patients with mild DD,and has high safety.

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.

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.

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.

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.