Objective: To validate the performance of the Procleix UltrioPlex E assay (Grifols, Spain) on the Procleix Panther automated nucleic acid detection platform, which employs the TMA method to simultaneously detect HIV-1/HIV-2/HCV/HBV/HEV viruses, and to evaluate its value for screening transfusion-associated infectious diseases. Methods: In accordance with the requirements of ISO15189"Application of the Guidelines for the Accreditation of Quality and Capabilities of Medical Laboratories in the Field of Molecular Diagnostics (CNAS-CL02-A009: 2018)", "Guidelines for Performance Validation of Molecular Diagnostic Testing Procedures (CNAS-GL039: 2019)", and the "Technical Operating Procedures for Blood Banks (2019 Edition)", this study validated the reagent's performance in terms of analytical sensitivity validation, performance consistency validation, interference resistance, and cross-contamination resistance. Results: Probit analysis revealed that the 95% detection limits (95% confidence interval) for HBV, HCV, HIV, and HEV were 2.0 IU/mL, 1.5 IU/mL, 18.0 IU/mL and 3.7 IU/mL, respectively, which were consistent with the minimum detection limits stated in the kit's package insert and were comparable to the Procleix Ultrio Elite kit. Both kits were used to test the performance validation serum plate simultaneously, yielding results consistent with the serum plate (Kappa=1), indicating stable performance. Detection of medium-and low-concentration lipemia and weakly positive hemolysis samples demonstrated good interference resistance. Cross-contamination performance validation showed that the kit exhibited excellent cross-contamination resistance. Conclusion: The Procleix UltrioPlex E nucleic acid detection kit enables combined detection of HIV-1, HIV-2, HCV, HBV, and HEV, allowing single-test screening for multiple viruses in donor blood. The kit's analytical performance is stable and meets basic laboratory requirements, making it suitable for screening transfusion-associated infectious diseases in blood banks.

Objective:To investigate the sero-conversion rate of HIV antibody and influencing factors in cross-border couples in Dehong Dai and Jingpo Autonomous Prefecture(Dehong).Methods:A cohort design was used to recruit HIV-negative people in cross-border couples in Dehong in 2017. Follow-up was conducted in 2023, and questionnaire survey and HIV test were carried out to calculate the sero-conversion rate of HIV antibody. Univariate and multivariate logistic regression models were used to analyze the influence factors for HIV infections.Results:A total of 36 278 HIV-negative persons in cross-border couples were included in the 2017 baseline survey, of whom 22 438 (61.9%) were tested in follow-up in 2023. The sero-conversion rate between 2017 and 2023 was 0.51% (115/22 438). Multivariate logistic regression analysis showed that length of marriage <6 years, Jingpo ethnic group, education level of primary school or below, drug use, illegal marriage and HIV infected spouse were the risk factors of HIV infection in male spouses, and length of marriage <6 years, Jingpo ethnic group, illegal marriage and HIV infected spouse were the risk factors in female spouses.Conclusions:The sero-conversion rate of HIV antibody in cross-border couples in Dehong was relatively high. HIV infection was mainly caused by secondary transmission in the couples, and men might also be infected through drug use. It is necessary to strengthen the registration and management of cross-border couples, especially the couples with discordant HIV infection status, and the intervention in drug users to reduce the risk for secondary transmission of HIV in the cross-border couples.

Objective:To describe the prevalence of non-alcoholic fatty liver disease (NAFLD) in people living with HIV in Taizhou, Zhejiang Province, and identify the factors associated with NAFLD in this population.Methods:A cross-sectional survey was conducted from 2021 to 2023. Based on the routine follow-up management of people living with HIV, liver ultrasound examination, physical examination and laboratory test were conducted to collect the information about the diagnosis of NAFLD and biochemical indicators in this population. Logistic regression model was used to identify the factors associated with the prevalence of NAFLD.Results:In the 2 550 study participants, the prevalence of NAFLD was 21.5% (548/2 550), abnormal liver function was found in 23.7% (604/2 550) of the study participants, and liver fibrosis was found in 45.2% (1 152/2 550) of the study participants. Multivariable logistic regression analyses showed that being women (a OR=0.55, 95% CI: 0.42-0.73), being overweight or obese (a OR=3.22, 95% CI: 2.59-4.01), having diabetes (a OR=3.37, 95% CI: 2.15-5.29), having dyslipidemia (a OR=2.96, 95% CI: 2.25-3.89), CD4 + T lymphocyte (CD4) counts <200 cells/μl (a OR=0.61, 95% CI: 0.42-0.88), and receiving Efavirenz (EFV) + Lamivudine (3TC) + Zidovudine (AZT) for antiretroviral therapy (ART)(a OR=1.52, 95% CI: 1.17-1.98) were associated with NAFLD. NAFLD was positively associated with abnormal liver function (a OR=2.01, 95% CI: 1.60-2.52) and inversely associated with liver fibrosis (a OR=0.76, 95% CI: 0.59-0.98). The 45-59 age group (a OR=7.05, 95% CI: 5.65-8.80), CD4 counts <200 cells/μl (a OR=1.45, 95% CI: 1.06-1.97) and receiving Nevirapine (NVP)+3TC+AZT of ART (a OR=1.87,95% CI: 1.44-2.43) were the main factors associated with liver fibrosis. Conclusions:The prevalence of NAFLD in people living with HIV Taizhou was more than 20.0%, with a significant proportion of them having abnormal liver function and liver fibrosis. Being overweight or obese, suffering from diabetes, having dyslipidemia, low CD4 counts, and receiving specific ART were associated with NAFLD. NAFLD, CD4 counts and specific ART were the main factors associated with abnormal liver function and liver fibrosis.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

OBJECTIVES: To explore the lipidomic characteristics of children with bronchial asthma (hereafter referred to as asthma) and identify potential biomarkers for asthma. METHODS: A total of 26 asthmatic children were prospectively enrolled as the asthma group, and 20 healthy children served as the healthy control group. The asthma group was further divided into atopic (n=13) and non-atopic (n=13) subgroups based on IgE levels. Serum lipid metabolites were analyzed using liquid chromatography-mass spectrometry, followed by statistical analysis and data visualization. RESULTS: A total of 1 435 lipids were detected in the 46 children, primarily glycerophospholipids (625/1 435, 43.55%). Significant differences were observed in serum lipid profiles between the asthma and control groups. Twelve significantly differential lipids were identified, with receiver operating characteristic curve analysis showing that phosphatidylserine (PS)(18:0/20:4) and ceramide (Cer)(c16:0) exhibited the highest diagnostic value for asthma. The relative abundances of PS(18:0/20:4) and PS(18:0/22:6) were higher in the atopic subgroup than in the non-atopic subgroup (P<0.05) and positively correlated with total IgE levels in asthmatic children (r=0.675 and 0.740, respectively; P<0.05). CONCLUSIONS Asthmatic children exhibit significant lipid metabolic disturbances, primarily characterized by abnormal glycerophospholipid metabolism. Among these, PS(18:0/20:4) and Cer(c16:0) demonstrate specific alterations and may serve as potential diagnostic biomarkers for asthma. Furthermore, the positive correlation between PS(18:0/20:4) and PS(18:0/22:6) levels and serum total IgE suggests their possible involvement in immune regulation in asthma.
Humans ; Asthma/metabolism* ; Male ; Child ; Female ; Prospective Studies ; Mass Spectrometry/methods* ; Lipids/blood* ; Chromatography, Liquid/methods* ; Child, Preschool ; Immunoglobulin E/blood* ; Biomarkers/blood* ; Adolescent ; Liquid Chromatography-Mass Spectrometry

Objective To explore the roles of transfer RNA-derived small RNAs(tsRNAs)in the oncogenesis and progression of lung adenocarcinoma by analyzing the differential expression of tsRNAs in lung adenocarcinoma and the relationship between the expression levels of tsRNAs in lung adenocarcinoma and the prognosis of patients in order to further screen and validate the tsRNAs associated with lung adenocarcinoma.Methods The differential expression of tsRNAs between lung adenocarcinoma tissues and normal tissues was analyzed based on the database of the Computational Medicine Center.The effects of tsRNAs expression levels on the prognosis of lung adenocarcinoma patients were analyzed based on the Cancer Genome Atlas(TCGA)database(TCGA-LUAD).The target genes were predicted based on TRFtarget2.0 and tRFTar databases.Gene ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed based on DAVID and KOBA KEGG online websites.The expression levels of target genes in lung adenocarcinoma tissues and normal tissues were analyzed based on the University of ALabama at Birmingham CANcer data analysis Portal(UALCAN)database.In vitro cell proliferation,migration,and invasion assays were performed to investigate the biological functions of tRF-19-69M8LOJX in lung adenocarcinoma cells.Results Compared with the normal tissues,tRF-19-69M8LOJX was up-regulated in lung adenocarcinoma tissues(log2FC=4.28,FDR＜0.05).High expression level of tRF-19-69M8LOJX was associated with shorter progression-free survival(HR=1.565,95％CI=1.142-2.145,P=0.005).And its overexpression promoted cell proliferation and migration(P＜0.001),and invasion(P=0.009)of A549 cells,and up-regulated COL1A1(P=0.002)and VCAN(P=0.022)significantly in the tRF-19-69M8LOJX overexpression cell model.Conclusion tRF-19-69M8LOJX is up-regulated in lung adenocarcinoma tissues.And its high expression is closely associated with poor prognosis.The tsRNA may play an important role in the pathogenesis and development of lung adenocarcinoma.

Concepts are the cornerstone of the development of disciplines. The concepts of TCM present that a superior concept contains more subordinate concepts. The superordinate concepts are often used to refer to different subordinate concepts, which can refer to both superior concepts themselves and non-specific subordinate concepts, that is, the characteristics of subordinate coverage and indefinite reference, which cause confusion in concept meaning, concept relationships, reasoning logic, and other problems. Nowadays, the TCM scholars pay little attention to this characteristic. Therefore, this article analyzed this characteristic, discussed its impact on the inheritance and development of TCM, and proposed that starting from the anchoring of concepts and entities to clarify the connotation of concepts, looking forward to provide new ideas for the definition of the concepts of TCM and the development of the discipline.

ObjectivesTo investigate the molecular epidemiological characteristics of HIV-1 infection among men who had sex with men (MSM) in Taizhou City, Zhejiang Province, and to provide a scientific reference for acquired immune deficiency syndrome prevention and control efforts. MethodsThe research subjects were all newly reported MSM population in Taizhou City from 2020 to 2023. Blood samples without antiviral therapy were collected. The HIV-1 pol gene was amplified and sequenced, and the sequences were submitted to the Stanford University drug resistance database to identify the mutation sites and drug resistance. MEGA 11.0 software was used to analyze the nucleic acid sequences, construct phylogenetic tree, and calculate genetic distance of gene sequences. The molecular transmission network diagram of HIV-1 was constructed using Cytoscape_v3.10.1, and the influencing factors of network entry were analyzed by logistic regression. ResultsA total of 363 newly reported HIV-infected MSM patients were included, with a median age [M (P₂₅, P₇₅)] of 34 (26,47) years old. The majority had an educational level of junior high school or below (55.65%). A total of eight subtypes were found, mainly CRF07_BC and CRF01_AE. The primary drug resistance rate was 10.47% (38/363). The optimal molecular network gene distance was 0.019, with a network access rate of 42.70% (155/363), and a total of 47 molecular clusters were formed. Multivariate logistic analyses showed that compared with the CRF01_AE subtype, the clustering risk of CRF07_BC subtype was higher (OR=1.916, 95%CI: 1.191‒3.109), cases with drug resistance had a higher risk of cluster formation than those without drug resistance (OR=2.011, 95%CI: 1.006‒4.080), and recent infected patients had a lower risk of entering the largest molecular cluster than long-term infected patients (OR=0.376, 95%CI: 0.137‒0.928). ConclusionThe newly diagnosed infections among the MSM population are active in Taizhou City, Zhejiang Province, with a high level of primary drug resistance. Individuals carrying drug-resistant strains are more likely to cluster. Drug resistance monitoring should be strengthened to prevent further spread of drug-resistant strains in the network.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves