Objective To comprehensively analyze the current epidemic characteristics and disease burden of brucellosis in Tongliao City, and to provide a basis for the prevention and control strategy of brucellosis in Tongliao City. Methods The report data of brucellosis in Tongliao City from 2018 to 2023 were collected. Descriptive methods were used for data analysis, and the disability-adjusted life years and indirect economic losses were calculated. Results From 2018 to 2023, a total of 22 034 cases were reported in Tongliao City, with an average annual incidence of 136.17/100 000. The incidence was statistically different between men and women ( χ²=12.23, P=0.032). The majority of cases were farmers (94.25%), followed by herdsmen (1.67%). The age group was concentrated between 30-60 years old (79.30%), among which the majority of cases were in the 40-50 years group (6 883/22 034). The onset time had seasonal characteristics, and the peak period was from March to August (the seasonal index was between 115.40%-151.29%). In terms of regional distribution, cases were reported in all counties (banners). The average annual incidence was highest in Kulun Banner (233.85/100 000) and Zalut Banner (210.13/100 000), and lowest in Keerqin District (42.28/100 000) and Holingol City (31.87/100 000). The analysis of disease burden showed that a total of 677.55 person-years (YLD) were lost from 2018 to 2023, with an average annual loss of 112.92 person-years. The total indirect economic loss was 59.3576 million yuan, with an average annual loss of 9.892 9 million yuan, and the people over 60 years old had the lowest annual loss. Conclusion The overall brucellosis epidemic in Tongliao City has shown a fluctuating downward trend. The epidemic prevention and control should be strengthened in farmers, people aged 40-50 years old, and areas such as Zalut Banner and Kulun Banner to further control the epidemic of brucellosis.

ObjectiveThis study aims to systematically review the marketed traditional Chinese patent medicines for treating chronic gastritis （CG） in China. By analyzing their variety characteristics and prescription patterns， it seeks to provide references for clinical syndrome differentiation-based drug selection， treatment method optimization， and the design of high-quality clinical research. MethodsInformation on marketed traditional Chinese patent medicines for treating CG was collected. Microsoft Excel software was used to collate and statistically analyze representative drugs for each pathological stage， market status， syndrome types， and other contents. The Ancient and Modern Medical Case Cloud Platform （V2.3.9） was employed to analyze the formula composition patterns of standardized prescriptions. ResultsA total of 141 marketed traditional Chinese patent medicines for treating CG in China were included. Based on the disease's pathological progression， they can be classified into drugs for non-atrophic gastritis， atrophic gastritis， and precancerous lesions. Post-marketing research reveals that relevant evaluation is only conducted on 17 drugs， of which 2 involve pharmacoeconomic studies and 14 possess standardized evidence-based evidence. The primary dosage forms were capsules， granules， and tablets. From the 100 prescriptions screened according to inclusion/exclusion criteria， the varieties indicated for the stomach collateral stasis syndrome in atrophic gastritis accounted for the highest proportion. The main efficacy distributions were clearing heat， detoxifying， and relieving pain by promoting Qi circulation. Core drugs included Glycyrrhizae Radix et Rhizome， Paeoniae Radix Alba， and Aucklandiae Radix. Medicinal properties were predominantly warm and neutral. Flavors were mainly bitter， pungent， and sweet. The drugs primarily entered the spleen and stomach meridians. Analysis of the package inserts reveals that 67 products list "contraindications"， 110 include "precautions"， and 23 explicitly state "adverse reactions". ConclusionTraditional Chinese patent medicines for treating CG hold unique value in clinical practice. However， currently there are challenges such as insufficient clarity in syndrome type descriptions within package inserts and a relative lack of high-level evidence-based medical evidence， as well as pharmacoeconomic evaluations. Future efforts should focus on addressing these shortcomings by advancing research on syndrome characteristics and medication patterns based on syndrome differentiation， systematically conducting pharmacoeconomic evaluations， strengthening the accumulation of high-level evidence-based evidence， and， on this basis， improving patient medication adherence. This will comprehensively enhance the clinical application value and scientific connotation of this category of drugs.

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

Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.
Humans ; Female ; Pelvic Organ Prolapse/epidemiology* ; Middle Aged ; Risk Assessment/methods* ; China/epidemiology* ; Multifactorial Inheritance ; Aged ; Risk Factors ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Case-Control Studies ; Adult ; Polymorphism, Single Nucleotide ; Genetic Risk Score ; East Asian People

Targeted covalent inhibitors, primarily targeting cysteine residues, have attracted great attention as potential drug candidates due to good potency and prolonged duration of action. However, their discovery is challenging. In this research, a database-assisted liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategy was developed to quickly discover potential cysteine-targeting compounds. First, compounds with potential reactive groups were selected and incubated with N-acetyl-cysteine in microsomes. And the precursor ions of possible cysteine-adducts were predicted based on covalent binding mechanisms to establish in-house database. Second, substrate-independent product ions produced from N-acetyl-cysteine moiety were selected. Third, multiple reaction monitoring scan was conducted to achieve sensitive screening for cysteine-targeting compounds. This strategy showed broad applicability, and covalent compounds with diverse structures were screened out, offering structural resources for covalent inhibitors development. Moreover, the screened compounds, norketamine and hydroxynorketamine, could modify synaptic transmission-related proteins in vivo, indicating their potential as covalent inhibitors. This experimental-based screening strategy provides a quick and reliable guidance for the design and discovery of covalent inhibitors.

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

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.

BACKGROUND: Bile acids (BAs) facilitate the progression of gastric intestinal metaplasia (GIM). Long non-coding RNAs (lncRNAs) dysregulation was observed along with the initiation of gastric cancer. However, how lncRNAs function in GIM remains unclear. This study aimed to explore the role and mechanism of lncRNA PVT1 in GIM, and provide a potential therapeutic target for GIM treatment. METHODS: We employed RNA sequencing (RNA-seq) to screen dysregulated lncRNAs in gastric epithelial cells after BA treatment. Bioinformatics analysis was conducted to reveal the regulatory mechanism. PVT1 expression was detected in 21 paired biopsies obtained under endoscopy. Overexpressed and knockdown cell models were established to explore gene functions in GIM. Molecular interactions were validated by dual-luciferase reporter assay, RNA immunoprecipitation (RIP), and chromatin immunoprecipitation (Ch-IP). The levels of relative molecular expression were detected in GIM tissues. RESULTS: We confirmed that lncRNA PVT1 was upregulated in BA-induced GIM model. PVT1 promoted the expression of intestinal markers such as CDX2 , KLF4 , and HNF4α . Bioinformatics analysis revealed that miR-34b-5p was a putative target of PVT1 . miR-34b-5p mimics increased CDX2 , KLF4 , and HNF4α levels. Restoration of miR-34b-5p decreased the pro-metaplastic effect of PVT1 . The interactions between PVT1 , miR-34b-5p, and the downstream target HNF4α were validated. Moreover, HNF4α could transcriptionally activated PVT1 , sustaining the GIM phenotype. Finally, the activation of the PVT1 /miR-34b-5p/ HNF4α loop was detected in GIM tissues. CONCLUSIONS BAs facilitate GIM partially via a PVT1/miR-34b-5p/HNF4α positive feedback loop. PVT1 may become a novel target for blocking the continuous development of GIM and preventing the initiation of gastric cancer in patients with bile reflux.
Humans ; RNA, Long Noncoding/metabolism* ; MicroRNAs/metabolism* ; Hepatocyte Nuclear Factor 4/genetics* ; Bile Acids and Salts ; Kruppel-Like Factor 4 ; Metaplasia/metabolism*