Organ transplantation is an effective treatment for end-stage organ failure, but postoperative infections and rejection reactions are key factors affecting the survival of the patients. Recently, the incidence of human parvovirus B19 (B19V) infection following transplantation has increased. B19V is a non-enveloped virus that primarily infects the upper respiratory tract and exhibits significant tropism for erythroid progenitor cells in the bone marrow, leading to the lysis of erythrocytes and hematological abnormalities. After B19V viremia, it may further infect other cells, triggering inflammatory responses and tissue damage. B19V infection may lead to chronic anemia in organ transplant patients, thereby affecting the success of the transplant and the survival of the patients. Therefore, it is essential to diagnose and monitor B19V infection post-transplantation. Due to the immunosuppressive therapy following transplantation, traditional serological detection methods, such as IgM and IgG antibody tests, are often unreliable. In contrast, molecular biological detection, especially real-time fluorescent quantitative PCR technology, provides more accurate results. However, the diversity of B19V genotypes may lead to the missed detection of some genotypes. Thus, it is necessary to use different detection techniques to improve the diagnostic accuracy of B19 virus infections. Additionally, there is a need to explore more precise diagnostic methods to enhance the early identification and management of B19V infection, further improving the survival and life quality of the patients.

AIM To screen the material basis for Rhei Radix et Rhizoma on improving human umbilical vein endothelial cell(HUVECs)injury before and after carbonization.METHODS The HPLC fingerprints were established,after which difference analysis was performed by orthogonal partial least squares discriminant analysis.The LPS-induced HUVECs injury model was established,then NO,MDA levels and SOD activity were detected.Gray correlation analysis and partial least squares regression were adopted in the investigation of spectrum-effect relationship,and active constituents were screened.RESULTS There were 22 and 20 common peaks in the fingerprints for 17 batches of raw products and carbonized products,respectively,along with the similarities of more than 0.8.Twelve main difference components were observable,among which gallic acid,5-hydroxymethylfurfural,catechin,aloe rhodopsin-8-O-β-D-glucoside,rhubarbic acid-8-O-β-D-glucoside and sennosides A were identified.The carbonized products demonstrated stronger effect on improving HUVECs injury than the raw product.The correlations of common peaks were more than 0.5 in the fingerprints for raw products and carbonized products,and peaks 3,5,11,12,15,19,23 exhibited significant effects on their efficacy(VIP values＞1).CONCLUSION This accurate,reliable and reproducible method can provide a basis for clarifying the material basis for hemostatic efficacy of Rhei Radix et Rhizoma and its carbonized product.

Objective To verify the efficacy of a domestic human DNA quantification kit based on real-time fluorescence quantitative PCR in detecting the total human DNA concentration,male DNA concen-tration in mixed male/female DNA samples,the degree of DNA degradation and inhibitor tolerance.Methods Samples with different concentrations,different male/female ratios,different concentrations of inhibitors,and different degradation degrees were tested using the domestic human DNA quantification kit based on real-time fluorescence quantitative PCR.This kit was compared with a similar product on the market and was applied to the detection of DNA from real cases.Results This human DNA quan-tification kit can effectively detect human DNA as low as 0.001 65 ng/μL,and 6.25 pg/μL of male DNA in mixed samples with a male-to-female ratio of 1∶15 000.Even when the sample contains as high as 400 ng/μL of humic acid or 1 000 μmol/L of hemin alone,the DNA concentration can still be accurately detected.The degradation index can effectively characterize the degradation degree of the sample.This kit has been successfully applied in forensic practice.Conclusion This human DNA quan-tification kit is accurate and reliable in detection.It can accurately reflect the degradation of DNA and inhibitor tolerance.It has good performance in quantitative accuracy,determination of the male/female ratio in mixed samples,and inhibitor tolerance.It has application potential in forensic case examination.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

AIM:To investigate the preventive and therapeutic effects of sesamin(SES)on fatty liver disease in rats with hypertension combined with dyslipidemia,and to explore the potential mecha-nisms based on mRNA-seq.METHODS:Spontane-ously hypertensive rats(SHRs)were fed a high-fat,high-cholesterol diet to establish a rat model of hy-pertension combined with dyslipidemia,and then treated with SES for 16 weeks continuously.The ex-periment was divided into four groups:WKY,SHR,Model,and Model+SES(160 mg·kg-1·d-1).Blood pressure was measured using the tail-cuff method.Body weight was monitored,and body mass index was calculated.Liver morphology was detected by ultrasound,and liver thickness was measured.Liver wet weight was weighed,and liver index was calcu-lated.Liver volume was detected by the water dis-placement method.Serum triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),aspartate amino-transferase(AST),and total bile acids(TBA)were de-tected by ELISA.Liver sequencing analysis was per-formed using mRNA-seq.Liver histomorphological changes were observed by HE staining.The degree of hepatic steatosis was observed by Oil Red O stain-ing,and the degree of hepatic fibrosis was observed by MASSON staining.The mRNA expression of Al-dh1a7,Nnmt,Irs2,Pltp,and Scd was detected by q-PCR.The protein expression of Scd,Nnmt,AMPK,p-AMPK,PPARα,and PPARγ was detected by Western blotting.RESULTS:After 16 weeks of continuous SES administration to rats with hypertension combined with dyslipidemia,blood pressure was significantly reduced(P＜0.01),and body weight was decreased.Serum TG,TC,and LDL-C levels were decreased,while HDL-C levels were increased.Serum ALT and AST levels were decreased.Liver weight,organ in-dex,liver thickness,and liver volume were de-creased.The degree of hepatic steatosis and hepat-ic fibrosis was improved.A total of 545 differentially expressed mRNAs were identified in the livers of rats in each group,of which 278 were upregulated and 267 were downregulated.Among the 27 com-monly differentially expressed mRNAs,five mRNAs related to lipid metabolism were screened,namely Aldh1a7,Nnmt,Irs2,Pltp,and Scd.KEGG enrich-ment analysis showed that the enriched pathways were AMPK and PPAR.Further validation revealed that in the SES-treated group,the mRNA expression of Scd in the liver was decreased,while the mRNA expression of Nnmt was increased.The protein ex-pression of Scd was decreased,while the protein ex-pression of Nnmt,AMPK,p-AMPK,PPARα,and PPARγ was increased.CONCLUSION:SES has preven-tive and therapeutic effects on fatty liver disease in rats with hypertension combined with dyslipidemia,and its mechanism of action may be related to the reduction of Scd expression levels in the liver and the increase in the expression of Nnmt,AMPK,p-AMPK,PPARα,and PPARγ.

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.