OBJECTIVE To explore the diagnostic value of the guanylate binding protein 5(GBP5)gene in pa-tients infected with Mycobacterium tuberculosis(MTB).METHODS Patients who visited the Fifth People's Hos-pital of Suzhou from Jan.2024 to May 2024,as well as individuals undergoing health examinations during the same period,were selected as the study subjects.Based on the diagnostic criteria,the subjects were divided into active tuberculosis(ATB)group(230 cases),pneumonia group(207 cases),latent tuberculosis infection(LTBI)group(48 cases)and healthy control(HC)group(122 cases).Real-time quantitative reverse transcription poly-merase chain reaction was used to detect the expression level of the GBP 5 gene in the whole blood of the subjects,and receiver operating characteristic(ROC)curves were employed to analyze its diagnostic performance.RESULTS There were statistically significant differences in GBP5 gene expression among the four groups(P＜0.001).The area under the ROC curve(AUC)for GBP5 in distinguishing the ATB group from the HC group,LTBI group and pneumonia group was 0.902,0.813 and 0.745,respectively.In the ATB group,the positive de-tection rate of the GBP5 method was 67.39％,higher than that of Gene Xpert MTB/RIF(62.20％),tuberculosis culture(60.00％)and smear acid-fast staining(35.20％)(P＜0.05).When distinguishing between ATB and LTBI patients,the positive prediction value of GBP5 was 95.09％,higher than that of IGRA testing(79.92％)(P＜0.05).The expression level of GBP5 was negatively correlated with the MTB bacterial load(P＜0.001).CONCLUSIONS The detection of the GBP5 gene has important clinical significance in the auxiliary diagno-sis of tuberculosis and can serve as an effective supplement to existing diagnostic methods for tuberculosis.

Objective:To analyze the epidemiological and clinical characteristics of pertussis cases identified through active surveillance.Methods:Active surveillance for pertussis was conducted in three sentinel hospitals in Yiwu, Zhejiang Province, and Yongcheng, Henan Province. The study population included cases that met the surveillance case definition and sought medical care at outpatient/emergency departments or were hospitalized between June 1, 2021, and May 31, 2022. Samples were collected for bacterial culture and PCR detection. Case information and clinical data were collected. Differences in rates were assessed using the chi-square test or Fisher's exact probability test, and the differences in cough time were compared using the Mann-Whitney U test. Results:Among 1 423 cases of pertussis surveillance, the positive rate of pertussis was 28.11% (400/1 423), with a median age of 5 years (interquartile range: 2, 8). The positive rate in Yongcheng, Henan Province, and Yiwu, Zhejiang Province were 39.27% (216/550) and 21.08% (184/873), respectively; the positive rate of pertussis was highest in July 2021, and the highest positive rate of pertussis was among those aged 10-14. The positive rate of pertussis in hospitalized cases was higher than in outpatient/emergency cases (26.68%) ( χ2=4.16, P=0.041). Among the 400 laboratory test-positive cases, the highest proportion of atypical symptom cases was in adults aged 20-59 (43.33%, 13/30). The specificity rates of apnea and worsening nocturnal cough in monitored cases under 3 months of age were 100.00% and 73.81%, respectively. Among monitored cases aged 3 months to 9 years, the proportions of symptoms including worsening nighttime cough (63.00%) and night sweats (4.59%) in test-positive cases were significantly higher than those in the test-negative group (47.77% and 0.56%, respectively), with statistically significant differences (both P<0.05). The specificity rates of worsened nighttime coughing and night sweats were 52.23% and 99.44%, respectively. Conclusions:The active surveillance results for pertussis showed that the 10-14 age group exhibited the highest positivity rate. Active surveillance enhanced the detection rate of pertussis. Among laboratory-confirmed cases, the proportion of atypical symptoms was the highest in adults, suggesting that laboratory testing should be combined to diagnose programs of pertussis. For infants under 3 months, worsening nighttime cough and apnea increase the diagnostic specificity, while for individuals aged 3 to 9 years old, worsening nighttime cough and night sweats increase the diagnostic specificity.

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Objective:To analyze the epidemiological and clinical characteristics of pertussis cases identified through active surveillance.Methods:Active surveillance for pertussis was conducted in three sentinel hospitals in Yiwu, Zhejiang Province, and Yongcheng, Henan Province. The study population included cases that met the surveillance case definition and sought medical care at outpatient/emergency departments or were hospitalized between June 1, 2021, and May 31, 2022. Samples were collected for bacterial culture and PCR detection. Case information and clinical data were collected. Differences in rates were assessed using the chi-square test or Fisher's exact probability test, and the differences in cough time were compared using the Mann-Whitney U test. Results:Among 1 423 cases of pertussis surveillance, the positive rate of pertussis was 28.11% (400/1 423), with a median age of 5 years (interquartile range: 2, 8). The positive rate in Yongcheng, Henan Province, and Yiwu, Zhejiang Province were 39.27% (216/550) and 21.08% (184/873), respectively; the positive rate of pertussis was highest in July 2021, and the highest positive rate of pertussis was among those aged 10-14. The positive rate of pertussis in hospitalized cases was higher than in outpatient/emergency cases (26.68%) ( χ2=4.16, P=0.041). Among the 400 laboratory test-positive cases, the highest proportion of atypical symptom cases was in adults aged 20-59 (43.33%, 13/30). The specificity rates of apnea and worsening nocturnal cough in monitored cases under 3 months of age were 100.00% and 73.81%, respectively. Among monitored cases aged 3 months to 9 years, the proportions of symptoms including worsening nighttime cough (63.00%) and night sweats (4.59%) in test-positive cases were significantly higher than those in the test-negative group (47.77% and 0.56%, respectively), with statistically significant differences (both P<0.05). The specificity rates of worsened nighttime coughing and night sweats were 52.23% and 99.44%, respectively. Conclusions:The active surveillance results for pertussis showed that the 10-14 age group exhibited the highest positivity rate. Active surveillance enhanced the detection rate of pertussis. Among laboratory-confirmed cases, the proportion of atypical symptoms was the highest in adults, suggesting that laboratory testing should be combined to diagnose programs of pertussis. For infants under 3 months, worsening nighttime cough and apnea increase the diagnostic specificity, while for individuals aged 3 to 9 years old, worsening nighttime cough and night sweats increase the diagnostic specificity.

OBJECTIVE To explore the diagnostic value of the guanylate binding protein 5(GBP5)gene in pa-tients infected with Mycobacterium tuberculosis(MTB).METHODS Patients who visited the Fifth People's Hos-pital of Suzhou from Jan.2024 to May 2024,as well as individuals undergoing health examinations during the same period,were selected as the study subjects.Based on the diagnostic criteria,the subjects were divided into active tuberculosis(ATB)group(230 cases),pneumonia group(207 cases),latent tuberculosis infection(LTBI)group(48 cases)and healthy control(HC)group(122 cases).Real-time quantitative reverse transcription poly-merase chain reaction was used to detect the expression level of the GBP 5 gene in the whole blood of the subjects,and receiver operating characteristic(ROC)curves were employed to analyze its diagnostic performance.RESULTS There were statistically significant differences in GBP5 gene expression among the four groups(P＜0.001).The area under the ROC curve(AUC)for GBP5 in distinguishing the ATB group from the HC group,LTBI group and pneumonia group was 0.902,0.813 and 0.745,respectively.In the ATB group,the positive de-tection rate of the GBP5 method was 67.39％,higher than that of Gene Xpert MTB/RIF(62.20％),tuberculosis culture(60.00％)and smear acid-fast staining(35.20％)(P＜0.05).When distinguishing between ATB and LTBI patients,the positive prediction value of GBP5 was 95.09％,higher than that of IGRA testing(79.92％)(P＜0.05).The expression level of GBP5 was negatively correlated with the MTB bacterial load(P＜0.001).CONCLUSIONS The detection of the GBP5 gene has important clinical significance in the auxiliary diagno-sis of tuberculosis and can serve as an effective supplement to existing diagnostic methods for tuberculosis.

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Objective:To preliminarily explore the long-term improvement of low-frequency deep brain stimulation (DBS) on the nucleus basalis of Meynert (NBM) in cognitive disorders, neuropsychiatric symptoms and sleep disorders of patients with early-onset severe Alzheimer's disease (AD).Methods:A retrospective study was performed; 18 patients with early-onset severe AD admitted to Department of Neurosurgery, First Medical Center of PLA General Hospital from January 2016 to December 2022 were included. These patients were divided into NBM-DBS group and control group according to different treatments; 6 patients received low-frequency NBM-DBS on basis of conservative treatments; 12 patients accepted conservative treatments. Changes in Brief Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Neuropsychiatric Inventory (NPI), Hamilton Depression Rating Scale (HAMD), Becker-Lavanson Mania Scale (BRMS), Pittsburgh Sleep Quality Index (PSQI), and Zarit Caregiver Burden Interview (ZBI) were observed before treatment and 1 year after follow up.Results:MMSE and MoCA scores 1 year after follow up obviously reduced compared with those before treatment in both NBM-DBS and control patients; MMSE and MoCA scores in NBM-DBS patients showed no significant differences between 1 year after follow up and before treatment ( P>0.05), while significant differences were noted in the control group between 1 year after follow-up and before treatment ( P<0.05); and no significant differences in MMSE and MoCA scores were noted between the 2 groups 1 year after follow up ( P>0.05). NPI, HAMD, BRMS and ZBI scores in the NBM-DBS group 1 year after follow up were significantly different compared with those before treatment ( P<0.05); no significant differences were noted in NPI, HAMD and ZBI scores in the control group between 1 year after follow up and before treatment ( P>0.05), while significant difference was noted in BRMS scores ( P<0.05); significant differences in NPI, HAMD, BRMS and ZBI scores were noted between the 2 groups 1 year after follow up ( P<0.05). Conclusion:Low-frequency NBM-DBS is not only effective in improving cognitive disorders, but also effective in improving neuropsychiatric symptoms and sleep disorders, as well as reducing caregiver burden in patients with early-onset severe AD.

Objective:To analyze the seroepidemiological characteristics of hepatitis B virus (HBV) infection among adolescents aged 0-14 years in Henan Province and to evaluate the effectiveness of the childhood hepatitis B vaccine (HepB) immunization program.Methods:From September 2021 to March 2022, a total of 4 883 adolescents aged 0-14 years were selected from 25 villages or communities of 18 provincial-level cities in Henan Province by using the multi-stage random cluster sampling method. Demographic data were collected through questionnaires. The 3 ml of blood samples were collected from individuals aged 0-4 years and 5 ml of blood samples were collected from individuals aged 5-14 years to test HBsAg, HBcAb and HBsAb. Data on vaccination were collected through Henan Provincial Immunization Information System and hepatitis B cases in Henan Province were collected through China Infectious Disease Reporting System. The effectiveness of the childhood HepB immunization program was analyzed.Results:The average age of 4 883 subjects was (7.32±2.81) years old. The positive rates of HBsAg and HBcAb were 0.1% (7/4 883) and 1.0% (50/4 883), and the population standardized rates were 0.3% and 1.7%. In 2002, the positive rate of HBsAg among adolescents aged 0-14 years in Henan Province was 3.39%. Compared with that in 2002, the number of chronic HBV infections among adolescents in Henan Province in 2022 decreased by about 0.7 million. In 2002, the vaccination rate of newborns who completed all three doses of vaccine was 6.26%. In 2003, the vaccination rate of the hepatitis B vaccine rose rapidly, reaching 90% in 2013 for the first time. After 2014, the vaccination rate in Henan Province continued to remain above 95%. The proportion of cases among children aged 1-4 years in clinical reports decreased from 0.43% (1 108/256 566) in 2006 to 0.01% (78/80 655) in 2021. The proportion of cases among adolescents aged 5-19 years decreased from 18.21% (46 710/256 566) in 2006 to 1.1% (827/80 655) in 2021.Conclusions:From 2002 to 2022, the positive rate of HBsAg among adolescents aged 0-14 years has decreased significantly in Henan Province. The effectiveness of the HepB immunization program for children is good.