ATG8-binding proteins play a key role in autophagy, selective autophagy or non-autophagy process by interacting between ATG8 and the ATG8-interacting motif (AIM) or the ubiquitin-interacting motif (UIM). There is great progress of ATG8-binding proteins in yeast and mammalian studies. However, the plant domain is still lagging behind. Therefore, the structure characteristics of plant ATG8 binding protein were firstly outlined. Unlike the single copy of ATG8 gene in yeast, many homologous genes have been identified in plant. The LIR/ AIM-docking site (LDS) of ATG8 protein contains W and L pockets and is responsible for binding to AIM. The ATG8 protein binds to UIM-containing proteins via UIM-docking site (UDS) instead of LDS. UDS is in the opposite position to LDS, so the ATG8 can bind both AIM and UIM proteins. Secondly, the structure and function of ATG8-binding proteins, especially the selective autophagy receptors, were systematically described. The protein NBR1 and Joka2, as proteaphagy receptors, guide ubiquitination protein aggregates to autophagosome for degradation by binding to AIM and ATG8 in Arabidopsis and tobacco, respectively. AtNBR1 also promotes plant immunity by binding the capsid protein of cauliflower mosaic virus and silencing suppressor HCpro of turnip mosaic virus, mediating pathogen autophagy. AtNBR1 still degrades chloroplast by microautophagy under photoinjure or chlorophagy during ibiotic stress. And the protein ORM mediates the degradation of plant immune receptor flagellin sensing 2 (FLS2) through AIM binding to ATG8. Interestingly, ATI1 and ATI2 participate in both chlorophagy and ERphagy. Otherwise, ER membrane protein AtSec62, soluble protein AtC53, and ubiquitin-fold modifier1-specific ligase 1 (UFL1) can be directly bound to ATG8 as ER autophagy receptors. As pexophagy receptor, AtPEX6 and AtPEX10 bind to ATG8 via AIM and participate in pexophagy. RPN10, as a 26S proteasome subunit, whose C-terminal UIM1 and UIM2 bind ubiquitin and ATG8, respectively, mediates the selective autophagy degradation of 26S proteasome inactivation when fully ubiquitinated. Plant-specific mitochondrial localization proteins FCS-like zinc finger (FLZ) and friendly (FMT) may also be mitophagy receptors. CLC2 binds to ATG8 via the AIM-LDS docking site and is recruited to autophagy degradation on the Golgi membrane. The tryptophan-rich sensory protein (TSPO) in Arabidopsis was involved in clearing free heme, porphyrin and plasma membrane intrinsic protein 2;7 (PIP2;7) through the combination of AIM and ATG8. The conformation of GSNOR1 changes during anoxia, exposing the interaction between AIM and ATG8, leading to selective degradation of GSNOR1. At last, the ATG8 binding proteins involved in autophagosome closure, transport and synthetic synthesis was summarized. For example, plant-specific FYVE domain protein required for endosomal sorting 1 (FREE1) is involved in the closure of autophagosomes during nutrient deficiency. Therefore, according to the recent research advances, the structure and function of plant ATG8-binding proteins were systematically summarized in this paper, in order to provide new ideas for the study of plant selective autophagy and autophagy.

Objective To explore the changes of metabonomics in blood of mice after high-voltage electric shock,then screen out the significantly changed differential metabolites and metabolic pathways.Methods The head of C57BL/6J mice was subjected to high-voltage electric shock(electric shock group)or exposed to acoustic and optical stimulation of high-voltage electric(control group),then the whole blood from mice were collected to separate serum.The dual platform combined metabonomic analysis based on gas chromatography-mass spectrometer(GC-MS)and liquid chromatography-mass spectrometer(LC-MS)was performed and orthogonal partial least squares discriminant analysis(OPLS-DA)was used to screen the differential metabolites and related metabolic pathways.Results A total of 415 differential metabolites were screened out in metabonomics in blood of mice after high-voltage electric shock,including 187 up-regulated and 228 down-regulated metabolites.These differentially metabolites were significantly enriched in metabolic pathways including central carbon metabolism in cancer,glucagon signaling pathway,etc.Conclusion By establishing the model of high-voltage electrical injury on experimental mice,this study reveals the significant change of metabolite content and metabolic pathway in blood by high-voltage electrical injury.Which provides a basis for the damage of blood metabolic activity by high-voltage electrical injury,and suggests the potential harm of high-voltage electrical injury to blood metabolic activity in the whole body.

Objective To evaluate the performance of the disposable medical protective clothing in blocking the penetration of infectious agents,in order to provide data support for the setting of such performance indexes when the GB 19082 is revised.Methods Totally 10 batches of different brands and models of protective clothing were selected,and tests were carried out for penetration resistance to synthetic blood,phage,wet microorganisms,dry microorganisms and contaminated liquid aerosol and particle filtration efficiency according to YY/T 0700-2008,YY/T 0689-2008,YY/T 0506.6-2009,GB 19082-2009,YY/T 0506.5-2009 and YY/T 1799-2020.Results There were 2 batches of protective clothing with anti-synthetic blood penetration performance level 2,3,4,5 and 6,respectively;all the protective clothing had the highest level 6 for anti-wet microorganisms penetration,part of whom had the levels for the resistance to phage penetration lower than those for preventing anti-synthetic blood penetration;all of the protective clothing had the particle filtration efficiencies higher than 95％,and had the highest level 3 for anti-dry microorganisms penetration;there're 5 batches of protective clothing with the highest level 3 for contaminated liquid aerosol penetration,1 batch with level 2 and the remained 4 batches with undetermined levels,which all had an average logarithmic reduction higher than 4.5 after penetration.Conclusion Particle filtration efficiency and resistance to phage penetration may be involved in the requirements for resistance to infective agent penetration in revised GB 19082 for evaluating the ability of protective clothing materials to block microorganisms in airborne particles and liquid contaminants.[Chinese Medical Equipment Journal,2024,45(5):16-21]

Objective:To analyze the impact of muscle mass reduction on the prognosis of patients and to observe the differences in prognosis among patients with different types of tumors affected by muscle mass reduction.Method:Tumor patients with available muscle mass data from the National Health and Nutrition Examination Survey,NHANES(NHANES)database(1999～2006 and 2011～2018)were selected as study subjects.Patients were divided into a muscle mass reduction group and a non-muscle mass reduction group based on differences measured by Dual-energy X-ray Absorptiometry(DXA).A Cox regression multivariate analysis was conducted to evaluate the impact of muscle mass reduction on the prognosis of tumor patients,and a subgroup analysis was performed based on different tumor locations to analyze the differences in overall survival(OS)and cancer-specific survival(CSS)associated with muscle mass reduction.Result:A total of 1 663 tumor patients were included in the study,comprising 64 with head and neck tumors,478 with skin tumors,237 with breast tumors,39 with lung tumors,138 with digestive system tumors,253 with urological system tumors,264 with gynecological tumors,64 with hematological system tumors,and 103 with tumors in other locations.There were 517 patients in the muscle mass reduction group and 1,146 in the non-muscle mass reduction group.Patients in the muscle mass reduction group showed significantly lower OS and CSS compared to the non-muscle mass reduction group(OS,HR=1.358;CSS,HR=2.109).Muscle mass reduction was significantly associated with OS in head and neck tumor patients(HR=4.060)and both OS and CSS were significantly worse in urinary system tumor patients in the muscle mass reduction group(OS,HR=1.625;CSS,HR=2.311),whereas no significant differences were observed in other tumors.Conclusion:Tumor patients with muscle mass reduction have significantly worse OS and CSS compared to those with normal muscle mass,and the prognosis varies across different tumor sites.Special attention should be given to muscle mass status in patients with head and neck tumors and urinary system tumors,with timely interventions as needed.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

Objective Based on the theory of five circuits and six qi,the characteristics of circuit-qi indicators of the date of birth of hospitalized patients with pneumonia of Shaoyin-disease syndrome were explored.Methods The data collection was conducted in 422 hospitalized patients with pneumonia of shaoyin-disease syndrome admitted to the Department of Classical Chinese Medicine,Fangcun Hospital of Guangdong Provincinal Hospital of Chinese Medicine from January 20,2012 to June 30,2022.And then statistical analysis was performed for circuit-qi indicators of the date of birth of the patients.Results The goodness of fit by chi-square test showed that there were statistically significant differences in the distribution of the heavenly-stem year,earthly-branch year,yearly circuit,recombinant yearly circuit,predominant qi,and sitian-zaiquan(circuit qi of the first and second half of a year)at birthdate of hospitalized patients with pneumonia of shaoyin-disease syndrome(P＜0.05 or P＜0.001).And the results indicated that a higher risk of suffering from pneumonia of shaoyin-disease syndrome existed in the population born in the heavenly-stem ji year and earthly-branch chou year,in the yearly circuit being deficient earth circuit,in the recombinant yearly circuit being wind,in the predominant qi being taiyin damp earth,and in the sitian-zaiquan being taiyin damp earth and taiyang cold-water.Conclusion There is a correlation between the incidence of pneumonia of shaoyin-disease syndrome and the circuit-qi indicators of the date of birth of the patients,and the pathogenesis of circuits and qi at birth date is probably related with yang deficiency of spleen and kidney,and cold interweaved with dampness.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To compare the clinical characteristics of diabetes mellitus(DM)patients complicated with pyogenic liver abscess(PLA)and non-DM(NDM)patients complicated with PLA,and provide evidence for clinical diagnosis and treatment.Methods PLA patients who admitted to an affiliated hospital of Anhui Medical University from July 2002 to February 2022 were selected and divided into DM+PLA group and NDM+PLA group according to whether they had DM.General condition,clinical manifestations and signs.complications,biochemical and patho-genic examination results,imaging findings,as well as clinical efficacy and influencing factors of the two groups of patients were analyzed retrospectively.Results 695 PLA patients were included in the analysis,191(27.5％)in the DM+PLA group and 504(72.5％)in the NDM+PLA group.The proportions of males and complication of hypertension in the DM+PLA group were higher than those in the NDM+PLA group,while the proportion of bi-liary diseases and malignant tumors was lower(all P＜0.05).The proportions of patients developing fever,fa-tigue,as well as concurrent anemia and hypoalbuminemia in the DM+PLA group were higher than those in the NDM+PLA group(all P＜0.05).Compared with the NDM+PLA group,the neutrophil count and percentage in the DM+PLA group increased,while total protein,albumin content,and albumin/globulin ratio all decreased(all P＜0.05).The proportions of the detection of Klebsiella pneumoniae and the occurrence of liver right lobe abscess in DM+PLA patients were higher than those of the NDM+PLA group(both P＜0.05).Multivariate logistic re-gression analysis revealed that malignant tumor was a risk factor for affecting the clinical efficacy of PLA patients,invasive treatment was a protect factor for affecting the clinical efficacy of PLA patients,while blood sugar was a risk factor for affecting the clinical efficacy of NDM+PLA patients.Conclusion DM+PLA patients have more se-vere infection symptoms than NDM+PLA patients,and are accompanied by higher proportions of Klebsiella pneu-moniae infection and liver right lobe abscess.It is necessary to strengthen attention to patients with malignant tumor and control blood sugar level,and timely supplement with invasive treatment if necessary.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.