Objective To investigate the epidemiological characteristics of Mycoplasma pneumoniae(MP)infection among pediatric inpatients with respiratory tract infections(RTIs)at Children's Hospital of Hebei Province,providing evidence for clinical diagnosis and treatment.Methods A retrospective analysis was conducted on 79 546 children hospitalized for RTIs between January 2016 and February 2024.Nasopharyngeal aspirates or deep sputum samples were collected,and polymerase chain reaction(PCR)was used to detect nucleic acids of 13 respiratory pathogens,including MP and adenovirus.The epidemiological trends across different years,seasons,genders,and age groups were analyzed.Results Among the 79 546 enrolled cases(male:47 437,59.6%;female:32 109,40.4%),the MP-positive rate was 17.7%(14 106/79 546),peaking in 2023(28.8%)and reaching the lowest in 2021(7.0%).Except for the period from July 2020 to March 2021 with exceptionally low MP positivity,epidemic peaks consistently occurred between August and February or March of the following year.Seasonal analysis revealed significantly higher MP positivity in autumn and winter compared to spring(P<0.001).Female children exhibited a higher MP-positive rate(20.1%,6444/32 109)than males(16.2%,7662/47 437)(P<0.001).The MP-positive rate increased with age:infancy(3.2%,849/26 741),toddlerhood(9.3%,1935/20 763),preschool(21.2%,3918/18 448),and school-age(54.5%,7404/13 594)(P<0.001).Co-infections with other respiratory pathogens were observed in 37.3%(5264/14 106)of MP-positive cases,with human rhinovirus(HRV)being the most frequent co-pathogen(43.3%,2279/5264 of mixed infections).Conclusion MP is a major pathogen of RTIs in hospitalized children at Children's Hospital of Hebei Province.Infections occur year-round but predominantly in autumn,with higher susceptibility in females and school-age children.Targeted preventive measures should be implemented during peak seasons to mitigate transmission risks.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

OBJECTIVE To construct a predictive tool for surgical site infections(SSIs)in spinal surgery for Chi-nese population to provide evidence support for reducing SSIs.METHODS A systematic review of Chinese and English database literature was conducted for Meta-analysis to obtain pooled risk values for influencing factors,and a risk prediction scoring tool was constructed based on the logistic regression model.Patients who underwent spinal surgery and completed postoperative follow-up in a tertiary hospital in Beijing from Jan.to Dec.2021 were selected to validate the predictive effect of the tool.RESULTS The predictive model for SSIs in Chinese spinal sur-gery patients was Logit(P)=—3.47+0.63(age 60 years)+0.31 ×(patient with cardiovascular disease)+0.69 ×(rheumatoid arthritis)+1.07 ×(diabetes)+1.06 ×(operation duration＞3 h)+1.17 ×(preopera-tive albumin＜35 g/L)+0.71 ×(history of spinal surgery)+0.67 ×(carrying internal implants)+0.73 ×(blood transfusion).The total score of the predictive tool was 92,with a cutoff score of≥24.50 indicating high-risk individuals.The area under the curve was 0.733,with the sensitivity 58.30％and the specificity 79.60％.CONCLUSION The established predictive model for SSIs in Chinese spine surgery demonstrates good predictive performance and can be used as a reference assessment tool in clinical practice.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVES: To study the clinical and genetic characteristics of osteopetrosis (OPT) in children. METHODS: A retrospective analysis was performed on the clinical data of 14 children with OPT. Whole-exome sequencing was used to detect pathogenic genes, and clinical phenotypes and genotypic features were summarized. RESULTS: Among the 14 children (10 males and 4 females), the median age at diagnosis was 8 months. Clinical manifestations included systemic osteosclerosis (14 cases, 100%), anemia (12 cases, 86%), infections (10 cases, 71%), thrombocytopenia (9 cases, 64%), hepatosplenomegaly (8 cases, 57%), and developmental delay (5 cases, 36%). Malignant osteopetrosis (MOP) cases had lower platelet counts, creatine kinase isoenzyme, and serum calcium levels, but higher white blood cell counts, lactate dehydrogenase, and alkaline phosphatase levels compared to non-MOP cases (P<0.05). Genetic testing identified 15 variants in 12 patients, including 8 variants in the CLCN7 gene (53%), 6 in the TCIRG1 gene (40%), and 1 in the TNFRSF11A gene (7%). Three novel CLCN7 variants were identified: c.2351G>C, c.1215-43C>T, and c.1534G>A. All four patients with TCIRG1 variants exhibited MOP clinical phenotypes. Of the seven patients with CLCN7 variants, 4 presented with intermediate OPT, 2 with benign OPT, and 1 with MOP. CONCLUSIONS Clinical phenotypes of OPT in children are heterogeneous, predominantly involving CLCN7 and TCIRG1 gene variants, with a correlation between clinical phenotypes and genotypes.
Humans ; Osteopetrosis/genetics* ; Male ; Female ; Infant ; Child, Preschool ; Retrospective Studies ; Vacuolar Proton-Translocating ATPases/genetics* ; Child ; Chloride Channels/genetics* ; Mutation ; Receptor Activator of Nuclear Factor-kappa B

OBJECTIVE: To screen anti-tumor drugs that improve antigen processing and presentation in acute myeloid leukemia (AML) cells. METHODS: A TCR-like or TCR mimic antibody that can specifically recognize HLA-A*0201:WT1_126-134 ( RMFPNAPYL) complex (hereafter referred to as HLA-A2:WT1) was synthesized to evaluate the function of antigen processing and presentation machinery (APM) in AML cells. AML cell line THP1 was incubated with increasing concentrations of IFN-γ, hypomethylating agents (HMA), immunomodulatory drugs (IMiD), proteasome inhibitors (PI) and γ-secretase inhibitors (GSI), followed by measuring of HLA-ABC, HLA-A2 and HLA-A2:WT1 levels by flow cytometry at consecutive time points. RESULTS: The TCR-like antibody we generated only binds to HLA-A*0201⁺WT1⁺ cells, indicating the specificity of the antibody. HLA-A2:WT1 level of THP-1 cells detected with the TCR-like antibody was increased significantly after co-incubation with IFN-γ, showing that the HLA-A2:WT1 TCR like antibody could evaluate the function of APM. Among the anti-tumor agents screened in this study, GSI (LY-411575) and HMA (decitabine and azacitidine) could significantly increase the HLA-A2:WT1 level. The IMiD lenalidomide and pomalidomide could aslo upregulate the expression of HLA-A2:WT1 complex under certain concentrations of the drugs and incubation time. As proteasome inhibitors, carfilzomib could significantly decreased the expression of HLA-A2:WT1, while bortezomib had no significant effect on HLA-A2:WT1 expression. CONCLUSION HLA-A2:WT1 TCR-like antibody can effectively reflect the APM function. Some of the anti-tumor drugs can affect the APM function and immunogenicity of tumor cells.
Humans ; Leukemia, Myeloid, Acute/immunology* ; Antineoplastic Agents/pharmacology* ; Antigen Presentation/drug effects* ; HLA-A2 Antigen/immunology* ; Receptors, Antigen, T-Cell/immunology* ; Cell Line, Tumor ; Interferon-gamma

Objective:To investigate the effect of peripheral blood immune cell level changes on the severity of hand,foot and mouth disease(HFMD).Methods:A total of 1 079 patients with mild and severe HFMD diagnosed and treated in The Fifth Affiliated Hospital of Zhengzhou University and Henan Children's Hospital from April 2015 to December 2018 were collected and divided into 5 subgroups according to the time from the onset of symptoms and signs to the first diagnosis.Trend of peripheral blood immune cells in each subgroup with the course of disease was plotted.Spearman coefficient and multiple Logistic regression analysis were used to screen risk factors of severe HFMD with the course of disease.Results:Univariate analysis indicated that levels of T cells,Ts and Th in severe group were lower than those in mild group,while levels of NK cells and B cells were higher than those in mild group(P<0.05).Correlation analysis showed a strong negative correlation between T cells and B cells(rs=-0.687)and NK cells(rs=-0.486).Logistic regression analysis showed that the reduction of immune cells(T cells,Ts,Th,LYM)in the course of disease from 1 to 5 days was statistically significant between mild and severe groups(P<0.05).Proportion of B cells was increased in mild and severe groups from 1～4 days(P<0.05),and NK cells was increased in mild and severe groups on day 2 of the course of disease(P<0.05).Proportion of severe patients living in rural areas with body temperature>39.0℃was significantly higher than that of mild patients(P<0.05).Conclusion:Disease progression of patients with severe HFMD is closely related to the disorder of immune cell regulatory function.Early monitoring of changes in peripheral blood lymphocyte subsets in HFMD patients can determine the progression of se-vere HFMD disease,and attention should be paid to changes in children living in rural areas with body temperature>39.0℃.