BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective To investigate the protective effects of HTD4010 against lipopolysaccharide(LPS)-induced septic cardiomyopathy(SCM)in mice and explore the mechanisms mediating its effect.Methods Forty-five male ICR mice were randomized equally into control group,LPS(10 mg/kg)group,and LPS+HTD4010 group(in which 2.5 mg/kg HTD4010 was injected subcutaneously at 1 h and 6 h after LPS injection).Cardiac function of the mice was evaluated by ultrasound,and pathological changes in the myocardial tissues were observed with HE staining.The levels of IL-6 and TNF-α in serum and myocardial tissues were detected using ELISA,and apoptosis of the cardiomyocytes was detected with TUNEL staining.The expression levels of the key proteins associated with apoptosis,autophagy and the AMPK/mTOR pathway in the myocardial tissues were detected using Western blotting.The ultrastructural changes of cardiac myocardial mitochondria was observed with transmission electron microscopy.Results LPS exposure caused severe myocardial damage in mice,characterized by myocardial fiber rupture,structural disorder,inflammatory cell infiltration,and mitochondrial damage.The LPS-treated mice exhibited significantly decreased cardiac LVEF and FS values,elevated IL-6 and TNF-αlevels in serum and myocardial tissue,and an increased myocardial cell apoptosis rate with enhanced expressions of Bax,p-62 and p-mTOR and lowered expressions of Bcl-2,LC3 Ⅱ/I,Beclin-1 and p-AMPK(P<0.05 or 0.01).Treatment of the septic mice with HTD4010 significantly alleviated myocardial damage,increased LVEF and FS values,reduced IL-6 and TNF-α levels in serum and myocardial tissue,decreased cardiomyocyte apoptosis,lowered myocardial expressions of Bax,p-62 and p-mTOR,and increased Bcl-2,LC3 Ⅱ/I,Beclin-1 and p-AMPK expressions(P<0.05 or 0.01).Conclusion HTD4010 can attenuate myocardial injury in SCM mice possibly by promoting autophagy via modulating the AMPK/mTOR signaling pathway.

Objective To develop a GIS-based 3D playback system for the flight human-plane data to realize the fusion of pilots'airborne flight data and physiological data.Methods The 3D playback system was developed with the Browser/Server(B/S)architecture,micro-server model,Java language and Spring Cloud technology framework,which was composed of three functional modules for flight process reproduction,physiological situational awareness and critical event calibration analysis.Results The system developed achieved time synchronization and data fusion of airborne flight data and physiological data with a time synchronization frequency of 1 Hz and a refresh rate of not less than 120 frames/s.Conclusion The system developed with high safety,stability,reliability and accuracy facilitates pilot in-flight physiological monitoring and fusion and simultaneous display of airborne flight data and physiological data,which can be used as an important platform for decision-making support in flight training.[Chinese Medical Equipment Journal,2024,45(10):14-19]

Objective To observe and compare the changes of vertebral bone mineral density(BMD)in the early stages of spinal Mycobacterium tuberculosis infection.Methods Patients who underwent spinal surgery at Xiangya Hospital,Central South University from January 1 to December 31,2023 were continuously enrolled(spinal tuber-culosis group),based on gender matching,non-spinal tuberculosis surgical patients treated for spinal stenosis were selected as the control group.Dual-energy X-ray scans were performed on the enrolled patients,difference in verte-bral BMD between two groups of patients was compared.An animal model of spinal Mycobacterium tuberculosis in-fection(referred to as the animal model)was constructed,differences in microstructure of trabecular bone between spinal tuberculosis group and control group was compared,and the bone volume/tissue volume(BV/TV),the thickness of trabecular bone(Tb.Th),the number of trabecular bone(Tb.N),and sparse density of trabecular(Tb.Sp)were used as evaluation indexes to further analyze the bone quality differences between the diseased verte-brae and the neighboring vertebrae.Results 69 patients were included in the spinal tuberculosis group and the con-trol group,respectively.The BMD of patients in the spinal tuberculosis group(0.793[0.712,0.869]g/cm2)was lower than that of the control group(0.907[0.800,1.020]g/cm2),difference was statistically significant(P＜0.05).Microstructure of trabecular bone BV/TV([18.4±5.4]％),Tb.Th([0.124±0.010]mm)in the spinal tuberculosis group of animal model were significantly altered compared with BV/TV([22.6±3.2]％),Tb.Th([0.160±0.017]mm)in the control group(both P＜0.05).In the spinal tuberculosis group,microstructure of diseased vetebral trabecular bone BV/TV([25.5±6.7]％)and Tb.N([1.871±0.443]/mm)were significantly lower than BV/TV([26.6±6.8]％)and Tb.N([1.969±0.454]/mm)in the neighboring vertebrae,both with statistically difference(both P＜0.05).Conclusion In the early stages of spinal Mycobacterium tuberculosis infec-tion,microstructure of vertebral trabecular bone can be altered,leading to a decrease in BMD.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8％)strains of Staphylococcus aureus and 68,040(33.2％)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)％,wound,pus and secretions(33.6±4.2)％,and blood(11.9±1.5)％.The CNS strains were predominantly isolated from blood(73.6±4.2)％,cerebrospinal fluid(12.1±2.5)％,and pleural effusion and ascites(8.4±2.1)％.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)％,outpatient and emergency(11.6±1.7)％,and department of surgery(11.2±0.9)％,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)％,outpatient and emergency(12.8±4.7)％,and department of internal medicine(11.2±1.9)％.The prevalence of methicillin-resistant strains was 32.9％in S.aureus(MRSA)and 74.1％in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1％to 29.2％,and the prevalence of MRCNS decreased from 82.1％to 68.2％.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2％to 2.3％over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.

Objective:To investigate the correlation of peripheral blood T lymphocyte subsets with overall survival(OS)and clinical baseline characteristics in mantle cell lymphoma(MCL).Methods:The clinical data of 55 MCL patients who were newly diagnosed in the Department of Hematology,Second Hospital of Shanxi Medical University from January 2012 to July 2022 were analyzed retrospectively.The percentages of T lymphocyte subsets and CD4+/CD8+ratio in peripheral blood were detected by flow cytometry,and their correlation with clinical characteristics of patients were analyzed.Kaplan-Meier method was used for survival analysis and survival curves were drawn.Log-rank test was used for univariate analysis,while Cox proportional hazards model was used for multivariate analysis.Results:The median follow-up was 40(1-68)months,and the median overall survival(OS)was 47 months.Among the 55 patients,30(54.5％)patients had a decrease in peripheral blood CD4+T lymphocyte,while 17(30.9％)patients had a increase in peripheral blood CD8+T lymphocyte,and 20(36.4％)patients had a decrease in CD4+/CD8+ratio.There were no significant correlations between CD4+/CD8+ratio and sex,age,Ki-67,B symptoms,leukocytes,hemoglobin,lymphocytes,platelets,albumin,lactate dehydrogenase(LDH),β2-microglobulin,splenomegaly,bone marrow invasion,primary site and MIPI score.Survival analysis showed that patients with CD4+T cell＞23.3％,CD8+Tcell ≤33.4％and CD4+/CD8+ratio＞0.6 had longer OS(P=0.020,P＜0.001,P＜0.001).Univariate analysis showed that Ki-67＞30％,LDH＞250 U/L,splenomegaly,bone marrow involvement,CD4+T cells 23.3％,CD8+T cells＞33.4％,CD4+/CD8+ratio ≤0.6 were adverse prognostic factors affecting OS of MCL patients.Multivariate analysis showed that CD4+/CD8+ratio ≤0.6(HR=4.382,P=0.005)was an independent adverse prognostic factor for OS of MCL patients.Conclusions:Low CD4+/CD8+ratio is associated with poor prognosis in MCL,and the CD4+/CD8+ratio can be used as an important indicator to evaluate the prognosis risk in MCL patients.