Objective To evaluate the viral composition in respiratory samples from hospitalized children with acute respiratory infections in Yancheng，Jiangsu province，between January 2024 and June 2025 using metagenomic next-generation sequencing（mNGS）.Methods:A total of 247 respiratory specimens，including throat swabs，sputum，and bronchoalveolar lavage fluid，were collected from 247 hospitalized children in Yancheng，Jiangsu province，during the study period. The viral composition in these samples was detected and analyzed using mNGS technology.Results:Among the 247 cases，there were 136 cases of pneumonia（including 4 cases of severe pneumonia），45 cases of bronchopneumonia，27 cases of upper respiratory tract infection，and 39 cases of bronchitis. The ages of the patients ranged from 41 days to 14 years，with a median age of 3 years. High-throughput sequencing results showed that the positive detection rate for viruses in the respiratory samples was 89.88%（222/247），The detection rate of viruses causing respiratory tract infections was 69.23%（171/247），With RNA viruses detected in 71.65%（177/247）of the cases and DNA viruses in 43.32%（107/247）. The top three viruses detected were rhinovirus（24.29%，60/247），human herpesvirus 7（HHV-7）（21.86%，54/247），and influenza A H1N1（20.24%，50/247）. The common detected viruses that cause respiratory infections are rhinovirus（24.29%），influenza A virus H1N1（20.24%），RSV（17.81%），metapneumovirus（10.53%），enterovirus（6.88%），parainfluenza virus（6.07%），bocavirus（6.07%），coronavirus（2.43%），and adenovirus（2.43%）. In children with pneumonia，the top two respiratory viruses detected were rhinovirus（19.85%，27/136）and influenza A H1N1（16.91%，23/136）. In children with bronchopneumonia，the main viruses detected were rhinovirus（31.11%，14/45）and respiratory syncytial virus（24.44%，11/45）. In children with upper respiratory tract infections，the main viruses detected were influenza A H1N1（33.33%，9/27）and rhinovirus（25.93%，7/27）. In children with bronchitis，the main viruses detected were rhinovirus（30.77%，12/39）and respiratory syncytial virus（25.64%，10/39）. Among the 4 cases of severe pneumonia，the viruses detected were influenza A H1N1（2/4），respiratory syncytial virus（1/4），and bocavirus（1/4）.Conclusion:mNGS analysis revealed a high positive detection rate of respiratory viruses（89.88%）in hospitalized children with acute respiratory infections in Yancheng，Jiangsu，from January 2024 to June 2025，with influenza A H1N1 and rhinovirus being the most predominant.

Objective To evaluate the viral composition in respiratory samples from hospitalized children with acute respiratory infections in Yancheng，Jiangsu province，between January 2024 and June 2025 using metagenomic next-generation sequencing（mNGS）.Methods:A total of 247 respiratory specimens，including throat swabs，sputum，and bronchoalveolar lavage fluid，were collected from 247 hospitalized children in Yancheng，Jiangsu province，during the study period. The viral composition in these samples was detected and analyzed using mNGS technology.Results:Among the 247 cases，there were 136 cases of pneumonia（including 4 cases of severe pneumonia），45 cases of bronchopneumonia，27 cases of upper respiratory tract infection，and 39 cases of bronchitis. The ages of the patients ranged from 41 days to 14 years，with a median age of 3 years. High-throughput sequencing results showed that the positive detection rate for viruses in the respiratory samples was 89.88%（222/247），The detection rate of viruses causing respiratory tract infections was 69.23%（171/247），With RNA viruses detected in 71.65%（177/247）of the cases and DNA viruses in 43.32%（107/247）. The top three viruses detected were rhinovirus（24.29%，60/247），human herpesvirus 7（HHV-7）（21.86%，54/247），and influenza A H1N1（20.24%，50/247）. The common detected viruses that cause respiratory infections are rhinovirus（24.29%），influenza A virus H1N1（20.24%），RSV（17.81%），metapneumovirus（10.53%），enterovirus（6.88%），parainfluenza virus（6.07%），bocavirus（6.07%），coronavirus（2.43%），and adenovirus（2.43%）. In children with pneumonia，the top two respiratory viruses detected were rhinovirus（19.85%，27/136）and influenza A H1N1（16.91%，23/136）. In children with bronchopneumonia，the main viruses detected were rhinovirus（31.11%，14/45）and respiratory syncytial virus（24.44%，11/45）. In children with upper respiratory tract infections，the main viruses detected were influenza A H1N1（33.33%，9/27）and rhinovirus（25.93%，7/27）. In children with bronchitis，the main viruses detected were rhinovirus（30.77%，12/39）and respiratory syncytial virus（25.64%，10/39）. Among the 4 cases of severe pneumonia，the viruses detected were influenza A H1N1（2/4），respiratory syncytial virus（1/4），and bocavirus（1/4）.Conclusion:mNGS analysis revealed a high positive detection rate of respiratory viruses（89.88%）in hospitalized children with acute respiratory infections in Yancheng，Jiangsu，from January 2024 to June 2025，with influenza A H1N1 and rhinovirus being the most predominant.

BackgroundBeing complex and highly heterogeneous with regard to the etiology and clinical manifestations of depression， neuroimaging studies make a breakthrough for exploring the biological subtypes of depression， while the current data-driven approach for the identification of subtyping depression using structural magnetic resonance imaging （MRI） data is insufficient. ObjectiveTo explore the biological subtypes of depression using diffusion tensor imaging （DTI） and machine learning methods. MethodsA total of 127 patients with depression who attended Beijing Anding Hospital from September 2017 to August 2021 and met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） diagnostic criteria were included， and another 80 healthy individuals matched for gender and age were recruited through advertisements in surrounding communities during the same period. DTI findings， demographic characteristics and clinical data were collected from all participants. Tract-based spatial statistics （TBSS） and the Johns Hopkins University （JHU） white matter probability maps were used to extract fractional anisotropy （FA） values of white matter tracts. A semi-supervised machine learning technique was used to identify the subtypes， and the FA values for whole brain white matter of patients and controls were compared. ResultsPatients with depression were classified into two biological subtypes. FA values in multiple tracts including corpus callosum and corona radiata of subtype I patients were smaller than those of healthy controls （P<0.01， FDR corrected）， and FA values in middle cerebellar peduncle， left superior cerebellar peduncle and left cerebral peduncle of subtype II patients were larger than those of healthy controls （P<0.01， FDR-corrected）. Baseline Hamilton Depression Scale-17 item （HAMD-17） score yielded no statistical difference between subtype I and subtype II patients （P>0.05）， while subtype I patients scored lower on HAMD-17 than subtype II patients after 12 weeks of treatment （t=2.410， P<0.05）. ConclusionDepression patients exhibit two biological subtypes with distinct patterns of white matter damage. Furthermore， the subtypes respond differently to the medication treatment. ［Funded by the National Key Research and Development Program of China （number， 2016YFC1307200）， the Scientific Research and Cultivation Program of Beijing Municipal Hospitals （number，PX2023066）， Beijing Anding Hospital， Capital Medical University （number，YJ201904， YJ201911）； www.chictr.org.cn number： ChiCTR-OOC-17012566］

Objective:To assess the psychometric properties of the Chinese version of 12-item immediate mood scale(IMS-12) in patients with depression.Methods:From January to June 2018, a total of 459 patients with depression recruited from an outpatient clinic by convenient sampling approach.All the subjects were assessed by the Chinese version of the IMS-12, and 43 of them were assessed again at the end of the first week.The 16-item quick inventory of depressive symptomatology (QIDS-SR16), and the generalized anxiety disorder scale-7(GAD-7) were used as validity indicator.The factor structure of the scale was evaluated by exploratory and confirmatory factor analyses.The internal consistency of the Chinese version of the IMS-12 scale was evaluated by Cronbach’s alpha coefficient.The intraclass correlation coefficient (ICC) was used to evaluate test-retest reliability.Pearson’s correlation coefficient was used to evaluate calibration validity.The softwares of SAS 9.4 and Mplus 8.5 were used for statistical analysis.Results:The exploratory factor analysis indicated that the fitting result of the two-factor model was good(including depression and anxiety factors). The results of the confirmatory factor analysis indicated that the factor model fit well and met the reference standard ( χ2/ df=2.82, CFI=0.936, TLI=0.920, RMSEA=0.088). The Cronbach’s alpha coefficient of the Chinese version of the IMS-12 was 0.95, and the ICC for test-retest reliability was 0.85.The correlation coefficients of the total IMS-12 score with the QIDS-SR16 score and with the GAD-7 score were 0.69 and 0.70, respectively. Conclusion:The Chinese version of the IMS-12 has good reliability and validity and is suitable for the clinical assessment of depressive and anxiety symptoms in patients with depression.

0bjective To analyze the factors related tO the changes of liver pathology in hepatitis B e antigen (HBeAg) negative chronic hepatitis B (CHB) patients.Methods Two hundred and eighty-eight HBeAg negative CHB patients were enrolled.Bivariate Pearson correlation was employed to analyze the correlation of different age,gender,alanine aminotransferase (ALT) level,the immunohistochemistry results of hepatitis B surface antigen (HBsAg) and hepatitis B core antigen (HBcAg) in liver tissue with hepatitis B virus (HBV) DNA level,changes of liver pathology.Results The inflammation grades and fibrosis stages of livertissuesinmale were 1.72±1.23 and 1.71±1.24,respectively;1.25±1.39 and 1.21±1.40 in female,respectively,which were significantly different (t=2.398,t-2.551;both P40 years old were all significantly higher than those<40 years old(t一2.060,t一2.536,t=2.808;all P<0.05).In patients with normal ALT levels,75 cases (52.03%) showed HBV DNA level≤1×103 copy/mL,56(38.89%) showed≥G2 of liver tissues; the ALT level and inflammation grade of liver tissues was significantly correlated(r:O.244,P-O.004).In patients with elevated ALT 1evels,42 cases (31.57%) showed HBV DNA level≤1×10s copy/mL,89 (66.92%) showed≥G2 of liver tissues; the ALT level and inflammation grade of liver tissues was not significantly correlated (r=0.007,P=0.939) .The inflammation/fibrosis of liver tissues,HBV DNA levels in patients with both HBsAg and HBcAg positive in liver tissues were significantly higher than those in other patients (P

Objective To study effects of low molecular weight heparin on liver fibrosis and the serum levels of TGF-?_1 in patients with chronic hepatitis B virus.Methods 45 patients with chronic hepatitis B virus were randomized into control group(the routine strategy)and trial group(the routine strategy + low molecular weight heparin).The period of treatment is 3 weeks.Serum hepatic fibrosis indices before and after heparin treatment were examined by RIA,the levels of serum TGF-?_1 before and after heparin treatment were examined by ELISA.Results Hepatic functions became significantly better in trial groups,serum PⅢP and type IV collage levels and the levels of serum TGF-?_1 in trial group decreased significantly after treatment.Conclusions The mechanism of anti-fibrosis action of LMWH may inhibited production of TGF-?_1 in patients with HBV.