Antibodies play a critical role in adaptive immune responses and serve as key components in disease diagnosis and treatment. These molecules exhibit dynamic post-translational modifications (PTMs), such as glycosylation and phosphorylation, which regulate their effector functions. To date, nearly all of our knowledge about antibody repertoires has come from B cell receptor (BCR) sequencing (BCR-seq), which facilitates the profiling of clonal composition and the tracing of maturation trajectories within B-cell repertoires. However, circulating antibodies found in bodily fluids—such as serum, saliva, milk, mucosal secretions, and cerebrospinal fluid—exhibit diversities and specificities beyond what BCR-seq alone can predict. Therefore, identifying and quantifying antibody clonotypes at the protein level could enhance diagnosis, prognosis, and treatment strategies in personalized medicine. The critical gap between genotype and phenotype necessitates complementary methodologies that enable the direct characterization of antibody proteins in their native functional states. Mass spectrometry (MS)-based antibody repertoire sequencing (Ab-seq) is currently the only feasible approach for this task and primarily includes database-dependent methods—such as bottom-up, middle-down, and top-down approaches—as well as database-independent de novo sequencing technology. These strategies enable multi-level, high-precision characterization ranging from peptides and domains to intact antibody molecules. Unlike the shotgun strategy commonly used in routine proteomics, obtaining full sequences of all antibodies presents unique challenges. It requires specialized methodological adaptations to address issues related to dynamic range, sequence variation, and sample complexity. This review introduces the technical principles, methodological workflows, and recent applications of various mass spectrometry-based antibody repertoire sequencing (Ab-seq) strategies, with a focus on approaches designed to improve sequence coverage and identification accuracy. These include multi-enzyme digestion, hybrid fragmentation methods, and artificial intelligence-assisted de novo sequencing. By systematically comparing database-dependent techniques—such as bottom-up, middle-down, and top-down approaches—with database-independent de novo sequencing, this review outlines their respective advantages and limitations in terms of sample throughput, sequence coverage, post-translational modification characterization, and data analysis complexity. In addition, this review discusses emerging technological trends, including the integration of ion mobility separation, native mass spectrometry, and artificial intelligence-driven data interpretation, which are expected to enhance the depth and accuracy of antibody characterization. Although current methods continue to face challenges related to sample complexity, dynamic range, and unambiguous sequence variant assignment, we emphasize the importance of integrating BCR-seq and Ab-seq data to construct gene-protein association maps. These maps help validate sequence accuracy and facilitate epitope discovery. This dual-platform strategy helps bridge the gap between genotype and phenotype, thereby enhancing both the resolution and scope of antibody repertoire studies. Such an integrative approach also offers a valuable tool for therapeutic antibody development, structure-function analysis, and precise evaluation of vaccine efficacy.

Objective: To explore the association role of anxiety and depressive symptoms with Internet gaming disorder (IGD) and emotional-behavioral problems among junior high school students, so as to provide references for preventing the occurrence and progression of emotional-behavioral problems in middle school students. Methods: From September to October 2024, a random cluster sampling method was adopted to select 38 069 students from 28 junior high schools in 14 counties (cities and districts) and functional areas of Jining City, Shandong Province. Surveys were conducted by Nine item Internet Gaming Disorder Scale-Short Form, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Strengths and Difficulties Questionnaire. The correlation of emotional and behavioral issues, online game addiction, anxiety and depressive symptoms among junior high school students was analyzed by Speaman correlation analysis. Mediation analysis was used to explore the role of anxiety and depressive symptoms between IGD and emotional-behavioral problems among junior high school students. Results: The detection rates of emotional-behavioral problems, anxiety symptoms, depressive symptoms, and IGD among junior high school students were 19.24 %, 9.48%, 16.69%, and 19.68%, respectively. The scores of emotional-behavioral problems, anxiety symptoms, depressive symptoms and IGD were 10.00 (6.00, 15.00), 3.00 (0.00, 7.00), and 4.00 (1.00, 8.00), 13.00 (10.00, 19.00), respectively. There were positive correlations between each pair of emotional-behavioral problem, IGD, anxiety symptoms, and depressive symptoms scores ( r =0.51-0.81, all P <0.01). Anxiety and depressive symptoms played mediating roles between IGD and emotional-behavioral problems among junior high school students, with mediating effect values of 0.16 (95% CI =0.15-0.17) and 0.12 (95% CI =0.11-0.14), respectively (both P <0.01). Conclusions Anxiety and depressive symptoms mediate the relationship between IGD and emotional-behavioral problems among junior high school students. It is necessary to identify early signs of IGD among junior high school students, strengthen intervention for anxiety and depressive symptoms, to prevent the occurrence and development of emotional and behavioral issues.

Purpose To explore the characteristics of gray matter(GM)volume changes in migraine patients using 7T MRI and voxel-based morphometry(VBM).Materials and Methods This prospective study enrolled 30 migraine patients and 41 age-and gender-matched healthy controls from Beijing Tiantan Hospital,Capital Medical University between November 2023 and November 2024.All participants underwent 7T MRI with 3D T1-weighted magnetization-prepared two rapid gradient-echo(MP2RAGE)sequences for structural brain imaging.VBM analysis was performed to quantify GM,white matter,cerebrospinal fluid and total brain volumes,followed by calculations of their relative percentages.The difference in GM volume between the two groups was compared to identify brain regions with characteristic GM volume changes in migraine patients.And the correlation between these characteristic GM volume alterations and clinical scales was analyzed.Results Migraine patients exhibited significantly lower total GM volume compared to healthy controls(t=2.096,P=0.040),while no group differences were observed in white matter or cerebrospinal fluid volumes(t=0.980,0.151;P=0.330,0.880).VBM analysis revealed reduced GM volume in the left orbitofrontal cortex(t=4.301,P=0.022),left hippocampus(t=5.226,P=0.006)and left parahippocampal gyrus(t=3.960,P=0.040)in the migraine group.Negative correlations were identified between:left orbitofrontal cortex GM volume and headache duration(r=-0.506,P=0.008),left hippocampal GM volume and patient health questionnaire-9 scores(r=-0.620,P=0.003),and left parahippocampal GM volume and visual analogue scale scores(r=-0.449,P=0.019).Conclusion VBM analysis based on 7T MP2RAGE data demonstrates characteristic GM volume reductions in the left orbitofrontal cortex,left hippocampus and left parahippocampal gyrus in migraine patients,with these structural alterations significantly correlate with depressive symptoms and headache burden.The observed microstructural abnormalities may reflect underlying pathophysiological mechanisms related to pain processing,emotional regulation and long-term disease burden in migraine.

Objective:To investigate the mechanism of natural antigen B(nAgB)to protect Immune thrombocytopenia(ITP)mouse model by influencing autophagy.Methods:Twenty-eight female BALB/c mice aged 8-10 weeks were randomly divided into four groups.7 mice of each group were immunized intraperitoneally,the control group was treated with PBS as the control group;ITP group was treated with anti-CD41 monoclonal antibody(anti-CD41Ab)only;nAgB group was treated with nAgB intraperitoneal injection for 5d;nAgB+ITP group was treated with nAgB intraperitoneal injection for 5d,then treated with anti-CD41 Ab.The peripheral blood platelet count in each group was tested;and the spleen and liver should be isolated and weighed,the organ index was calculated;qRT-PCR was used to detect spleen microtubule-associated protein 1 light chain 3(LC3),p62,Beclin-1 mRNA expression levels.Western blot was used to detect the protein expression level of spleen LC3 Ⅱ/LC3 Ⅰ,p62,Beclin-1.Results:Compared with the control group,mice in the ITP group showed a significant decrease in blood PLT count[(102.1±17.9)× 109/L vs(485.4±185.2)×109/L,P＜0.01],a significant increase in spleen index(P＜0.01),mice in the nAgB group showed a significant increase in blood PLT count,rising to(1051±127.6)× 109/L on the 3 day after modeling.Compared with the ITP group,mice in the nAgB+ITP group showed a significant increase in PLT count on the 1 day of anti-CD41 Ab administration[(428.6±131.6)× 109/L vs(102.1±17.9)×109/L,P＜0.05],however,the spleen index was significantly decreased(P＜0.05).qRT-PCR and Western blot results showed that compared with the control group,the mRNA and protein expression levels of spleen LC3,p62 and Beclin-1 were increased in the ITP group of mice(P＜0.05,P＜0.01).Compared with the ITP group,the nAgB+ITP group could significantly decrease mRNA levels of spleen LC3,p62 and Beclin-1(P＜0.05,P＜0.01),and also significantly decrease the protein expression levels of LC3 Ⅱ/LC3 Ⅰ,p62 and Beclin-1(P＜0.05,P＜0.01).Conclusion:nAgB inhibits the transcription and expression levels of autophagy-related genes and regulates immune intolerance,thereby protecting ITP mouse models.

Objective:To construct the inflammation score(IS)and nutrition-immunity score(NIS)for patients with multiple myeloma(MM),and to verify their prognostic stratification effects and significance.Methods:The clinical data of 129 newly diagnosed MM patients admitted to our hospital from August 2011 to September 2022 were retrospectively analyzed.Univariate and multivariate Cox regression analysis of overall survival(OS)were comducted on clinical parameters,including inflammatory indicators such as red blood cell volume distribution width(RDW)and platelet count(PLT),nutritional-immune indicators such as albumin(ALB),absolute lymphocyte count(ALC),and suppressed immunoglobulin count(S-Ig count).To construct IS and NIS for prognosis,X-tile software and multivariate Cox regression analysis were used to verify the prognostic stratification role and significance of IS and NIS.The time-dependent receiver operating characteristic(ROC)curve,C-index curve,calibration curve,and decision curve analysis(DCA)were used to evaluate the discrimination,accuracy,and clinical net benefit of IS and NIS in predicting overall survival(OS),and compared to the international staging system(ISS).Results:IS was constructed based on the scores of RDW and PLT,and NIS was constructed based on the scores of ALB,ALC,and S-Ig count.According to X-tile analysis and multivariate Cox regression analysis,IS and NIS can divide the patients into three risk strata respectively:low,medium and high IS and NIS groups.The differences in OS and hazard ratio(HR)between the low,medium,and high strata were statistically significant(P＜0.05).IS and NIS are both independent prognostic predictors for MM.The area under the ROC curve(AUC)and C index of IS and NIS for predicting 1-to 7-year OS were greater than those of ISS,and both were greater than 0.7.The prediction results of IS and NIS for 1-,3-,and 5-year OS rates were well consistent with the actual observed results.The DC A curves of IS and NIS for predicting 1-,3-,and 5-year OS were higher than that of ISS in a wide range of threshold probability intervals.Conclusion:IS and NIS have independent predictive significance for OS in MM patients.Their predictive discrimination,accuracy,and clinical net benefit are higher and better than ISS,and they may have potential application value in MM prognosis.

Objective To explore the effects of different education and examination methods on the examination results during the screening/evaluation of patent foramen ovale by contrast-enhanced transcranial Doppler(cTCD).Methods Patients who underwent cTCD screening/evaluation for patent foramen ovale in our hospital from May 2023 to February 2024 were retrospectively selected as the research subjects.The patients were divided into the observation group and the control group according to different education and examination methods during the peri-examination period.Patients who received video education,modified Valsalva maneuver,and injection of contrast agent with 20 mL syringe were included into the observation group,and patients who received artificial education,Valsalva maneuver,and injection of contrast agent with 10 mL syringe were included into the control group.The positive detection rate of patent foramen ovale,right-to-left shunt microbubble grading during Valsalva/modified Valsalva maneuver,systolic blood flow velocity,pulsatility index(PI),resistive index(RI),examination duration,total physician-patient communication time,whether occlusion surgery was performed,and patient satisfaction were compared between the two groups.Results The positive detection rate of patent foramen ovale by cTCD(82.93%vs.95.92%),the detection rate of the maximum amout(grade Ⅲ)of microbubbles(39.02%vs.61.22%),the total physician-patient communication time during the peri-examination period[11.30(10.00,14.00)minutes vs.8.23(7.00,10.00)minutes],the rate of occlusion surgery(48.78%vs.73.47%),and the total patient satisfaction(80.49%vs.91.84%)showed statistically significant differences between the control group and the observation group(P<0.05).Additionally,the receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC)for diagnosing patent foramen ovale were 0.718 in the control group and 0.855 in the observation group.Conclusion Peri-examination interventions such as video education,modified Valsalva maneuver,and injection of contrast agent with 20 mL syringe can improve the positive detection rate of patent foramen ovale,reduce ineffective physician-patient communication,and improve patient satisfaction.

AIM To investigate the stability of salvianolic acid B.METHODS HPLC was adopted in the content determination of salvianolic acid B,after which the chemical stability in different pH of buffer solutions,oxidation stability in different concentrations of H2O2,and biological stability in artificial gastric fluid,artificial intestinal fluid and biological matrices were analyzed,and its degradation kinetics was fitted.RESULTS Salvianolic acid B was stable in acidic and weakly acidic buffer solutions and artificial gastric fluid,which demonstrated poor stability in neutral and alkaline buffer solutions,artificial intestinal fluid,H2O2 and biological matrices.The degradation process of this constituent accorded with the first-order kinetic model in ileum homogenate,and the second-order kinetic model in pH 7.4 buffer solution,artificial intestinal fluid,H2O2 and stomach,duodenum,jejunum,colon homogenates.CONCLUSION Biological matrices,oxidants and alkaline environment can affect the stability of salvianolic acid B.This experimental exhibits important significance for the development and application of salvianolic acid B-related products.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.