Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) functions as a key regulator in inflammation and cell death and is involved in mediating a variety of inflammatory or degenerative diseases. A number of allosteric RIPK1 inhibitors (RIPK1i) have been developed, and some of them have already advanced into clinical evaluation. Recently, selective RIPK1i that interact with both the allosteric pocket and the ATP-binding site of RIPK1 have started to emerge. Here, we report the rational development of a new series of type-II RIPK1i based on the rediscovery of a reported but mechanistically atypical RIPK3i. We also describe the structure-guided lead optimization of a potent, selective, and orally bioavailable RIPK1i, 62, which exhibits extraordinary efficacies in mouse models of acute or chronic inflammatory diseases. Collectively, 62 provides a useful tool for evaluating RIPK1 in animal disease models and a promising lead for further drug development.

The early response of plant auxin gene family Aux/IAA (auxin/indole-3-acetic acid) and its interaction with auxin response factor (ARF) are important pattern to regulate plant growth and development. This work identified 28 StoIAA and 24 StoARF members based on the whole genome data of the medicinal plant Senna tora L., which were classified into 10 and 8 subfamilies, respectively. Phylogenetic tree and collinearity analysis showed that S. tora has close evolutionary relationship with the IAA and ARF homologous genes of Glycine max, Medicago truncatula, and the segment duplication events dominate the expansion of StoIAA and StoARF. Gene structure analysis showed that the vast majority of StoIAA and StoARF contain characteristic conserved domain. Transcriptome data showed that StoIAAs and StoARFs were expressed in leaves, roots and seeds, some members had tissue specific expression. The StoIAA and StoARF promoter region most contain functional elements related to stress response, growth and development, hormone induction and secondary metabolism. In addition, gene expression analysis showed that many StoIAAs and StoARFs can quickly respond to drought and salt stress and exhibited same expression patterns under both stress condition. The yeast two-hybrid experiment confirmed that StoARF8 and StoARF10 exhibit varying degrees of interaction with multiple StoIAA proteins, respectively. The above results provide a basis for further biological functional analysis of the Aux/IAA and ARF gene family of S. tora.

Objective:To explore the application effects of a neurosurgical mixed-reality distance teaching (NMDT) model in standardized residency training in neurosurgery.Methods:We built an NMDT system using mixed-reality technology and remote interaction technology, and designed the implementation procedure according to the teaching objectives. After the teaching activities were completed, a teaching satisfaction questionnaire survey was conducted among 20 neurosurgery resident trainees, in which they provided satisfaction scores for the same teaching content with different teaching models (i.e., the NMDT model and traditional teaching model). SPSS 22.0 software was used to perform the t test for data analysis. Results:There were significant differences between the NMDT model and the traditional teaching model in key indicators including the score for "completion of teaching objectives" (9.20±0.68 vs. 8.25±0.70, P<0.001) and the score for "satisfaction with learning gains" score (8.95±0.67 vs. 8.05±0.92, P=0.001). The NMDT model also outperformed the traditional teaching model in the other individual scores and the total score. Conclusions:The NMDT model can improve teaching quality, increase training efficiency, and enrich teaching content, which is worthy of promotion.

Pneumonia caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection poses a threat to human life and health,resulting in great socio-economic losses.The structural protein spike protein(S protein)of viruses has always been considered to primarily mediate virus invasion into host cells.S protein can act independently of viruses and cause inflammatory reactions on a variety of cells,therefore,understanding the impact of S protein on the respiratory tract can provide a new perspective for the prevention and treatment of COVID-19.This article reviews the advances in the possible mechanisms and clinical manifestations of SARS-CoV-2 structural protein S protein-induced inflammatory response in respiratory epithelial cells,aiming to provide reference for the prevention and treatment of diseases.

Objective:To evaluate the risk factors for the formation of parastomal Hernias(PSH)using meta-analysis,and to provide a theoretical basis for the prevention and treatment of PSH.Methods:Case control or Cohort study of PSH risk factors were collected by searching PubMed,CNKI,Wanfang data and other databases.Extract relevant data and perform meta-analysis using RevMan 5.3.Results:The results included a total of 16 studies,with a total sample size of 2411 cases,including 670 in the PSH group and 1741 in the non PSH group.The results showed that advanced age,female gender,BMI≥25,hypertension,COPD/chronic cough,diabetes,and postoperative Hypoproteinemia could increase the risk of PSH(P＜0.05);Smoking,previous ab-dominal surgery history,preoperative radiotherapy/chemotherapy etc.,were not significantly asso-ciated with the occurrence of PSH(P＞0.05).Conclusion:The current evidence shows that ad-vanced age,female gender,BMI≥25,hypertension,COPD/chronic cough,diabetes,postoperative Hypoproteinemia are risk factors for PSH,and extraperitoneal stoma can reduce the occurrence of PSH.

Objective:To construct and verify a prognosis model of nomogram for the patients with locally advanced oral squamous cell carcinoma(OSCC).Methods:7 118 clinical cases with locally advanced OSCC from 2010 to 2015 in SEER database were in-cluded and randomly divided into training set(TS)and validation set(VS)by a 7:3 ratio.In TS,univariate and multivariate Cox proportional risk models were used to screen and determine the prognostic factors of locally advanced OSCC,and a nomogram predic-tion model was constructed to predict the cancer specific survival rate(CSS)of patients in 3 and 5 years.In TS and VS,the consis-tency index(C-index)and ROC curves were used to evaluate the differentiation of the model,the calibration curves were used to eval-uate the prediction accuracy of the model,and the decision curve analysis(DC A)method was used to evaluate the clinical applicabil-ity of the model.Results:4 984 and 2 134 cases were respectively included in TS and VS.No statistical difference of the analysis in-dexes was found between the 2 sets(P＞0.05).10 risk factors affecting the prognosis of the patients with locally advanced OSCC were identified in TS,including age,sex,race,marital status,location of onset,degree of histological differentiation,T stage,N stage,with or without operation and radiotherapy(P＜0.05).In the TS and VS,the C-index of the nomogram was 0.702 and 0.704 respectively,and the AUC of the 3-year and 5-year CSS was between 0.727 and 0.736.The calibra-tion curves showed that the 3-and 5-year CSS predicted by the nomogram model was in good agreement with the actual CSS.The DCA curves showed that the clinical benefit of the nomogram was better than that of the 7th e-dition of the AJCC TNM staging system.Conclusion:The nomogram constructed in this study can accurately predict the survival rate of OSCC patients with locally advanced tumor.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

This study aimed to determine the drug resistance phenotype and genetic characteristics of Listeria monocytogenes ST5 LK100 isolated from a neonate,which provided a basis for the diagnosis and treatment of L.monocyto-genes infection and to enhance the understanding of the genomic characteristics of this strain.A suspected L.monocytogenes strain was isolated from the gastric juice sample of an infected neonate,and identified with a VITEK2 Compact automatic mi-crobial identification instrument and 16S RNA sequencing.Five drug sensitivity tests were conducted on the identified strain with the E-test method.Additionally,the whole genome of the strain was sequenced using a third-generation sequencing plat-form.The antibiotic resistance elements of the strain were identified by BlastN with the CARD antibiotic resistance gene data-base.The multilocus sequence typing(MLST),serotyping,and virulence genes of the strain was determined by Pasteur da-tabase,the virulence gene distribution was analyzed using the virulence analysis website.The prophages of the strain were predicted and annotate by PHASTER online website.The strain(LK100)isolated from the neonate was identified as L.monocytogenes.This strain was sensitive to penicillin,ampicil-lin,meropenem,erythromycin,and trimethoprim-sulfame-thoxazole antibiotics.The MLST type and serotype was ST5 and 1/2b-3b,respectively.The total length of the chromoso-mal genome of LK100 was 3 032 582 bp with a GC content of 37.91％,and it contained a complete circular plasmid with a se-quence length of 52 822 bp.The strain LK100 carried complete InlA protein,LIPI-1 pathogenicity island,SSI-1 stress survival island,and an LGI2 genomic island.The intrinsic antibiotic resistance genes were mainly located on the chromosome.Five prophage sequences were predicted in the LK100 genome.This study identified a strain of ST5 L.monocytogenes LK100 from an infected neonate and characterized its genome and antibiotic sensitivity,laying the foundation for further research on ST5 L.monocytogenes.

Interleukin-35(IL-35)is an important immunosuppressive cytokine that has been shown to play a role in the immune response of various diseases.In this study,we cloned the coding sequence of human IL-35 gene,constructed single subunit expression vectors pXC17.4-p35 and pcDNA3.1(+)-EBI3,and co-transfected CHO-K1 cells to express IL-35 in vitro.No binding was found between subunits of p35 and EBI3.Knobs-into-Holes(KIH)can solve the problem of heavy chain mismatch of heterolo-gous antibodies.Therefore,expression vectors pXC17.4-p35-Fch and pcDNA3.1(+)-EBI3-Fck were constructed by fusing KIH structures on the basis of the original sequences to express the recombinant fu-sion protein of KIH-IL-35.The expression vectors of two subunits were exchanged at the same time to verify the influence of different vectors on the expression level of KIH-IL-35.The analysis of various pro-tein detection methods showed that the correct expression rate of KIH-IL-35 structure was significantly im-proved.Affinity purification of KIH-IL-35 was performed after large amount of expression,and the bind-ing activity of KIH-IL-35 to glycoprotein 130(gp130)was detected by ELISA.The results showed that the binding of KIH-IL-35 to gp130 was concentration dependent.The indirect activity of KIH-IL-35 and M1 cells was detected by cell activity assay.Further results showed that the inhibition rate of M1 cells in-creased in a dose-dependent manner with the concentration of KIH-IL-35.In addition,a method for de-termining IL-35 activity by activated human peripheral blood mononuclear cells was successfully estab-lished.Activated PBMCs increased in a dose-dependent manner with KIH-IL-35 concentration.In sum-mary,this study utilized the KIH-IL-35 model to enhance the expression of recombinant human IL-35 and validated its high activity in vitro,providing new ideas for the study of IL-35 and the recombinant expres-sion of similar heterodimeric cytokines.

Since the outbreak of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection at the end of 2019,its global research has become a hot spot.The tendency of coronavirus infection mainly depends on the ability of spike protein(S protein)binding to receptors on the cell surface.S protein and its receptor binding domain(S-RBD)not only play a key role in the binding of virus to host cells and the entry of virus into cells,they can also bind to host cell surface receptors such as angiotensin-converting enzyme 2(ACE2),Toll-like receptor(TLRs),cluster of differentiation(CD)147,and neuropilin 1(NRP-1),activating different signaling pathways,thus promo-ting virus to invade host cells and trigger a series of pathogenic processes such as inflammation.Therefore,it is of great significance to study receptors involving in the interaction between S protein and host cells.This article re-views the receptors related to the interaction between S protein and host cells,so as to provide theoretical basis for the prevention and treatment of SARS-CoV-2 infection.