1.Screening of High-Titer IgG Antibodies to 2019-nCoV among Voluntary Blood Donors in Zunyi.
Liang-Xue WEN ; Li SU ; Sheng-Jun ZENG ; Lan-Yi ZHANG ; Si-Hai HUANG
Journal of Experimental Hematology 2025;33(2):526-529
OBJECTIVE:
To investigate the serological prevalence of high-titer IgG antibodies against 2019-nCoV among voluntary blood donors in Zunyi.
METHODS:
The blood plasma specimens were diluted at 1∶160 or 1∶320, then tested for the presence of 2019-nCoV IgG antibodies by using an indirect enzyme-linked immunosorbent assay(ELISA). The differences of antibody reactive rate among different genders, ages, and blood types were analyzed.
RESULTS:
1 523 reactive specimens were identified in 5 378 specimens which were diluted at a ratio of 1∶160. Similarly, 329 reactive specimens were identified in 2 988 diluted at 1∶320. The overall reactive rate for antibodies was 22.1%. It was observed that females, individuals over the age of 40, and those with blood type AB exhibited higher high-titer antibody reactive rate.
CONCLUSION
After entering a new stage of 2019-nCoV infection prevention and control, there is a relatively high detection rate of high-titer 2019-nCoV IgG antibodies among voluntary blood donors in Zunyi. The reactive rate of antibodies varies among different genders, ages, and blood types.
Humans
;
Blood Donors
;
Immunoglobulin G/blood*
;
Antibodies, Viral/blood*
;
SARS-CoV-2/immunology*
;
COVID-19
;
Female
;
Enzyme-Linked Immunosorbent Assay
;
Adult
;
China
;
Male
;
Middle Aged
2.Advances in Lung Cancer Treatment: Integrating Immunotherapy and Chinese Herbal Medicines to Enhance Immune Response.
Yu-Xin XU ; Lin CHEN ; Wen-da CHEN ; Jia-Xue FAN ; Ying-Ying REN ; Meng-Jiao ZHANG ; Yi-Min CHEN ; Pu WU ; Tian XIE ; Jian-Liang ZHOU
Chinese journal of integrative medicine 2025;31(9):856-864
3.Spatio-Temporal Pattern and Socio-economic Influencing Factors of Tuberculosis Incidence in Guangdong Province: A Bayesian Spatiotemporal Analysis.
Hui Zhong WU ; Xing LI ; Jia Wen WANG ; Rong Hua JIAN ; Jian Xiong HU ; Yi Jun HU ; Yi Ting XU ; Jianpeng XIAO ; Ai Qiong JIN ; Liang CHEN
Biomedical and Environmental Sciences 2025;38(7):819-828
OBJECTIVE:
To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019.
METHOD:
Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model.
RESULTS:
Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( RR), 0.91; 95% Confidence Interval ( CI): 0.86-0.98], more the ratio of licensed physicians and physician ( RR, 0.94; 95% CI: 0.90-0.98), and higher per capita public expenditure ( RR, 0.94; 95% CI: 0.90-0.97), with a marginal effect of population density ( RR, 0.86; 95% CI: 0.86-1.00).
CONCLUSION
The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.
Humans
;
China/epidemiology*
;
Incidence
;
Bayes Theorem
;
Spatio-Temporal Analysis
;
Tuberculosis/epidemiology*
;
Socioeconomic Factors
4.Spatial-temporal Dynamics of Tuberculosis and Its Association with Meteorological Factors and Air Pollution in Shaanxi Province, China.
Heng Liang LYU ; Xi Hao LIU ; Hui CHEN ; Xue Li ZHANG ; Feng LIU ; Zi Tong ZHENG ; Hong Wei ZHANG ; Yuan Yong XU ; Wen Yi ZHANG
Biomedical and Environmental Sciences 2025;38(7):867-872
5.Evaluating the factors influencing hospitalization costs of malnourished patients based on variations in DRG cost coefficients
Jian-Mei NIU ; Qian ZHAO ; Qian MO ; Hai-Yan WANG ; LI-Qi ; Jing-Yi LIANG ; Qian-Wen YANG ; Ji-Chuan ZHAO ; Rong-Liang SUN
Parenteral & Enteral Nutrition 2025;32(5):273-277
Objectives:The aim is to analyze the cost structure and coefficient of variation for hospitalized patients with malnutrition based on Diagnosis-Related Groups(DRG),providing a reference for the further application and promotion of DRG.Method:Data were collected from patients admitted to Ningxia Hui Autonomous Region People's Hospital between March 2023 and August 2023.A diagnostic system based on artificial intelligence was used to identify malnourished patients.The composition of hospitalization costs for these individuals was described and analyzed,as was the coefficient of variation for various costs within DRG groupings.A multivariate regression analysis was conducted to identify the factors that influence patient hospitalization costs.Results:The average age of hospitalized patients with malnutrition was(68.12±16.43)years,with an average length of stay of(14.55±8.47)days,with an average hospitalization cost of(32 128.89±35 345.61)yuan.Among patients within the same DRG group,the coefficient of variation for various costs was found to be lower in the malnutrition group than in the normal group.This suggests that when assessed individually,the malnutrition group exhibited a higher degree of homogeneity in their cost structures.The factors influencing total hospitalization costs were found to be:length of hospital stay(P=0.001),nutritional monitoring fees(P=0.020),number of chronic diseases(P=0.003),and Karnofsky Performance Status(KPS)score(P=0.038).Hospitalization costs were positively correlated with both length of stay and nutritional assessment fees,but negatively correlated with the number of chronic diseases and KPS scores.Conclusions:Malnutrition has a profound impact on health outcomes,medical expenses,length of hospital stay,and disease severity.The implementation of the DRG system aims to standardize and improve the nutritional diagnosis and treatment process by categorizing different stages of malnutrition.This approach can minimize variations within DRG groups,making it easier to allocate medical resources more precisely and efficiently.Furthermore,it is a valuable reference tool for promoting DRG payment reform in different regions.
6.Distribution and source tracing analysis of drug-resistant bacteria in the environment at pig farms in Shandong Province
Shu-meng YOU ; Yong WANG ; Da-yang ZOU ; Hong-bin WANG ; Jun-zhu BAI ; Dan-jie ZHANG ; Liang WEN ; Yuan-yong XU ; Wen-yi ZHANG
Chinese Journal of Zoonoses 2025;41(6):623-628
This study investigated the drug resistance and genetic relationships among strains co-existing in animals,the environ-ment,and the living quarters of employees at large-scale pig farms in certain regions of Shandong Province,to provide a scientific ba-sis for elucidating the transmission mechanisms of drug-resistant bacteria through bacterial traceability analysis.Samples were col-lected from two pig farms,and bacteria were isolated and purified.The species of the isolated strains were identified via 16S rRNA gene sequencing.Antimicrobial susceptibility testing was conducted with a VITEK-2 Compact system and the disk diffusion method for strains present in pigs,the environment,and living areas.Furthermore,whole-genome sequencing was performed on the Illumina Miniseq platform to annotate drug resistance genes,and multilocus sequence typing(MLST)and core genome single nucleotide poly-morphism(cgSNP)analyses were used to trace the resistant strains.Three species—Staphylococcus aureus,Pseudomonas aeruginosa,and Bacillus cereus—were isolated and cultured from animals,the environment,and employee living areas,and their distributions were analyzed.These strains exhibited diverse drug resistance spectra and genetic diversity.Additionally,the strains displayed highly consistent resistance profiles,resistance genes,ST types,and SNP loci in pig urine,soil both inside and outside the facility,human drinking water,and the cafeteria and dormitories.Our findings indicated a potential risk of transmission of opportunistic pathogens be-tween the pig farming area and the living quarters.Particular attention should be paid to the environmental transmission of methicillin-resistant Staphylococcus aureus.
7.Assessment of causal direction between gut microbiota andbreast malig-nancy:a two-sample mendelian randomization
Shuang LIANG ; Wen-jing LIAN ; Hong-yi LIANG ; Jing-wei LI
Chinese Journal of Current Advances in General Surgery 2025;28(2):108-113
Objective:Elucidating causal links between gut microbiota and breast malignancies using mendelian randomization(MR)to Identify specific causal microbial taxa.Methods:Genome-wide association studies(GWAS)summary statistics on gut microbiota and breast malignancies,MiBioGen studied GWAS(N=18473)as exposure samples,and GWAS(N=123579)of breast malignancies in the IEU Open GWAS database as outcome samples.The in-verse variance weighted(IVW),weighted median and MR-Egger methods were used to analyze the MR statistical re-suits.Results:Increased abundance of Pasteurellales increased the risk of breast malignancy(IVW PFDR<0.05,OR=1.21,95%Cl:1.07~1.36),heterogeneity test and pleiotropy test showed no effect on causality,and the"leave-one-out"method showed that the identified causal association was not driven by any single instrumental variable.The causal relationship is positive.Conclusion:Elevated abundance of pasteurellales in the gut microbiota is associated with an increased risk of breast malignancies
8.Clinical effects of Supplemented Buyang Huanwu Decoction on postoperative patients with lumbar vertebral fracture complicated with spinal cord injury due to Qi Deficiency and Blood Stasis Pattern
Jia-man YANG ; Tong LIU ; De-hui FAN ; Mei-yi SU ; Ying LIN ; Man-guang LIANG ; Zhi-wen OU ; Shun-cong ZHANG
Chinese Traditional Patent Medicine 2025;47(11):3630-3634
AIM To explore the clinical effects of Supplemented Buyang Huanwu Decoction on postoperative patients with lumbar vertebral fracture complicated with spinal cord injury due to Qi Deficiency and Blood Stasis Pattern.METHODS One hundred and twenty patients were randomly assigned into control group(60 cases)for 6-week intervention of conventional treatment,and observation group(60 cases)for 6-week intervention of both Supplemented Buyang Huanwu Decoction and conventional treatment.The changes in clinical effects,TCM syndrome scores,spinal cord conduction signals(SEP amplitude,MEP amplitude),serum neurotrophic factors(NGF,IGF-1,BDNF),coagulation and inflammatory indices(PT,APTT,TNF-α,IL-1 β)and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P<0.05).After the treatment,the two groups displayed decreased TCM syndrome scores,TNF-α,IL-1β(P<0.05),increased spinal cord conduction signals,coagulation and inflammatory indices(P<0.05),and shortened PT,APTT(P<0.05),especially for the observation group(P<0.05).No significant difference in incidence of adverse reactions was found between the two groups(P>0.05).CONCLUSION For the patients with lumbar vertebral fracture complicated with spinal cord injury due to Qi Deficiency and Blood Stasis Pattern,Supplemented Buyang Huanwu Decoction can safely and effectively promote neurological function recovery.
9.Assessment of causality between cathepsins and thyroid cancer:a two-sample Mendelian randomization
Wen-Jing LIAN ; Xiao-Hui SUN ; Shuang LIANG ; Yi-Hua SUN ; Zi-Yuan SUN
Medical Journal of Chinese People's Liberation Army 2025;50(6):709-715
Objective To investigate the causal relationship between cathepsin(CTS)and thyroid cancer by using Mendelian randomization(MR).Methods Aggregate data for CTS GWAS was obtained from the IEU Open Genome-wide Association Study(GWAS)database(https://gwas.mrcieu.ac.uk/),and thyroid cancer GWAS data was obtained from the EBI database(https://www.ebi.ac.uk/).Five different MR analysis methods were utilized,with the inverse variance-weighted method(IVW)as the main approach,complemented by the weighted median method,MR-Egger regression,simple mode method and weighted majority method.These methods were employed to analyze the relationship between 9 CTS genes and thyroid cancer through 9 double-sample analyses.MR-Egger intercept,MR-PRESSO for gene pleiotropy detection,Cochran Q test,and leave-one-out method were applied to assess pleiotropy and sensitivity,followed by reverse MR analysis.Results MR analysis showed that elevated level of CTS B was positively correlated with the risk of thyroid cancer(IVW OR=1.60,95%CI 1.12-2.30,P=0.01),while elevated CTS O level was negatively correlated with the risk of thyroid cancer(IVW OR=0.65,95%CI 0.45-0.95,P=0.02).Reverse MR analysis revealed no significant causal relationship between thyroid cancer and CTS B and CTS O(P>0.05).Conclusion CTS B may promote the development of thyroid cancer,whereas CTS O may inhibit its progression.
10.Chemical constituents from Commelina communis
Hong-ting YI ; Ding-mei LIANG ; Bin LEI ; Hong-ling ZENG ; Zhong-wen CHEN ; Hua LIU ; Feng LIU
Chinese Traditional Patent Medicine 2025;47(3):827-833
AIM To study the chemical constituents from Commelina communis L.METHODS The 95%ethanol extract from C.Communis was isolated and purified by activated charcoal,silica gel,Sephadex LH-20,and HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Seventeen compounds were isolated and identified as p-hydroxyl ethyl cinnamate(1),p-hydroxybenzaldehyde(2),vanillin(3),4-hydroxy-2,3-dimethyl-2-nonen-4-olide(4),hemeratrol A(5),chakyunglupulin B(6),chakyunglupulin A(7),2-(2-hydroxyethyl)-3-methylfumaric acid(8),N-cis-feruloyl tyramine(9),N-trans-coumaroyltyramine(10),5,6,7,3',4',5'-hexamethoxyflavone(11),N-trans-sinapoyltyramine(12),dihydro-feruloyltyramine(13),N-trans-feruloyltyramine(14),2-phenylethanol-β-D-glucoside(15),quercetin-3-O-β-D-glucoside(16),and isorhamnetin-3-O-β-D-glucopyranoside(17).CONCLUSION Compounds 4-8,10 and 11 are isolated from Commelina genus for the first time,and 1,9,12-15 are first isolated from this plant.

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