OBJECTIVE: To analyze the correlation between the expression levels of Tim-3, C-myc and the proportion of T lymphocyte subsets and prognosis in patients with acute lymphoblastic leukemia (ALL). METHODS: The research group selected 60 ALL patients admitted to our hospital from December 2019 to December 2021, while the control group selected 55 healthy volunteers who underwent physical examination in our hospital. The expression levels of Tim-3, C-myc mRNA and the proportion of T lymphocyte subsets in the two groups were detected. The mortality rate of ALL patients was calculated, and the correlation between the expression levels of Tim-3, C-myc, and the proportion of T lymphocyte subsets and pathological features and prognosis was analyzed. RESULTS: Compared with the control group, the levels of Tim-3, C-myc and CD8⁺ in the research group were increased, while the levels of CD3⁺ , CD4⁺ and CD4⁺ /CD8⁺ were decreased (all P < 0.001). The levels of Tim-3, C-myc mRNA, CD3⁺ , CD4⁺ , CD8⁺ , CD4⁺ /CD8⁺ were correlated with risk classification and extramedullary infiltration (all P < 0.05). The survival rate of patients with low expression of Tim-3, C-myc, and CD8⁺ was higher than that of patients with high expression, while the survival rate of patients with high expression of CD3⁺ , CD4⁺ , and CD4⁺ /CD8⁺ was higher than that of patients with low expression (all P < 0.05). Univariate analysis showed that the deceased patients had higher proportions of extramedullary infiltration and high-risk classification, as well as higher levels of Tim-3, C-myc, and CD8⁺ , while lower levels of CD3⁺ , CD4⁺ , and CD4⁺ /CD8⁺ compared with surviving patients (all P < 0.01). Multivariate logistic regression analysis showed that extramedullary invasion, risk classification, Tim-3, C-myc, CD3⁺ , CD4⁺ , CD8⁺ , CD4⁺ /CD8⁺ were the main factors affecting the prognosis of ALL patients (all P < 0.05). ROC curve analysis showed that the combination of Tim-3, C-myc, and T lymphocyte subsets had higher sensitivity and accuracy in predicting prognosis of ALL patients compared with the single diagnosis of Tim-3, C-myc, CD3⁺ , CD4⁺ , CD8⁺ , and CD4⁺ /CD8⁺ (P < 0.05). CONCLUSION ALL patients show higher levels of Tim-3, C-myc mRNA and CD8⁺ but lower levels of CD3⁺ , CD4⁺ and CD4⁺/CD8⁺. Moreover, the expression levels of Tim-3, C-myc, CD3⁺ , CD4⁺ , CD8⁺ and CD4⁺/CD8⁺ are correlated with extramedullary invasion, high-risk classification and prognosis.
Humans ; Hepatitis A Virus Cellular Receptor 2/metabolism* ; Prognosis ; Proto-Oncogene Proteins c-myc/metabolism* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis* ; T-Lymphocyte Subsets ; Male ; Female ; Adult ; Middle Aged ; Adolescent ; RNA, Messenger

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

Depression is a prevalent mental and emotional disor-der that often results in significant emotional disturbances,cog-nitive dysfunction,and memory impairments.It is characterized by a high incidence rate,a substantial disability burden,and limited therapeutic efficacy.Currently,the long-term use of medications for the treatment of depression can result in a range of adverse reactions,highlighting the urgent need to explore no-vel approaches that can effectively alleviate depressive symptoms while minimizing side effects.Curcumin,a natural polyphenolic compound derived from the rhizome of turmeric,demonstrates considerable potential in the prevention and treatment of depres-sion,owing to its diverse array of biological activities.In recent years,numerous studies have investigated the use of curcumin for the treatment of depression.This article aims to provide a comprehensive review of the mechanisms of action underlying curcumin's efficacy in treating depression.Specifically,it focu-ses on its ability to improve neurotransmitter imbalances,restore neural plasticity,alleviate neural damage,mitigate dysfunction of the hypothalamic-pituitary-adrenal(HPA)axis,regulate in-flammatory factors and neuroinflammatory signaling pathways,and inhibit oxidative stress.This review is intended to offer in-sights and methodological references for basic research on curcu-min,as well as for the development of novel therapeutic agents for the treatment of depression.

Blood from a case of group B epidemic cerebrospinal meningitis identified in February 2024 in Ganzhou City,Jiangxi Province,and throat swabs from close contacts were collected for isolation and culture.The isolates were subjected to serogrouping,drug sensitivity testing,and whole genome sequencing and analysis,to provide a basis for epidemiological inves-tigation and clinical drug use.One strain of Neisseria meningitidis was isolated from the blood of the case and denoted group B.The MLST type was ST-7962,with no clonal group attribution.The phylogenetic tree showed that it was genetically close to the 1977 Shanghai carrier isolate(id-52231).Drug sensitivity results indicated that the strain was sensitive to 8 drugs:azithro-mycin,cefotaxime,minocycline,ceftriaxone,chloramphenicol,meropenem,rifampicin,and benzylpenicillin;resistant to cot-rimoxazole,levofloxacin,and ciprofloxacin;and showed an intermediate response to penicillin.This report describes the first case of ST-7962 group B meningoencephalitis found in Jiangxi Province.Monitoring of Neisseria meningitidis carriage,drug re-sistance,and molecular characteristics of strains in the healthy population in this region should be strengthened,to provide la-boratory support for the clinical use of medications,traceability,and control of the pathogen underlying meningoencephalitis infection.

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.

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.

Blood from a case of group B epidemic cerebrospinal meningitis identified in February 2024 in Ganzhou City,Jiangxi Province,and throat swabs from close contacts were collected for isolation and culture.The isolates were subjected to serogrouping,drug sensitivity testing,and whole genome sequencing and analysis,to provide a basis for epidemiological inves-tigation and clinical drug use.One strain of Neisseria meningitidis was isolated from the blood of the case and denoted group B.The MLST type was ST-7962,with no clonal group attribution.The phylogenetic tree showed that it was genetically close to the 1977 Shanghai carrier isolate(id-52231).Drug sensitivity results indicated that the strain was sensitive to 8 drugs:azithro-mycin,cefotaxime,minocycline,ceftriaxone,chloramphenicol,meropenem,rifampicin,and benzylpenicillin;resistant to cot-rimoxazole,levofloxacin,and ciprofloxacin;and showed an intermediate response to penicillin.This report describes the first case of ST-7962 group B meningoencephalitis found in Jiangxi Province.Monitoring of Neisseria meningitidis carriage,drug re-sistance,and molecular characteristics of strains in the healthy population in this region should be strengthened,to provide la-boratory support for the clinical use of medications,traceability,and control of the pathogen underlying meningoencephalitis infection.

Depression is a prevalent mental and emotional disor-der that often results in significant emotional disturbances,cog-nitive dysfunction,and memory impairments.It is characterized by a high incidence rate,a substantial disability burden,and limited therapeutic efficacy.Currently,the long-term use of medications for the treatment of depression can result in a range of adverse reactions,highlighting the urgent need to explore no-vel approaches that can effectively alleviate depressive symptoms while minimizing side effects.Curcumin,a natural polyphenolic compound derived from the rhizome of turmeric,demonstrates considerable potential in the prevention and treatment of depres-sion,owing to its diverse array of biological activities.In recent years,numerous studies have investigated the use of curcumin for the treatment of depression.This article aims to provide a comprehensive review of the mechanisms of action underlying curcumin's efficacy in treating depression.Specifically,it focu-ses on its ability to improve neurotransmitter imbalances,restore neural plasticity,alleviate neural damage,mitigate dysfunction of the hypothalamic-pituitary-adrenal(HPA)axis,regulate in-flammatory factors and neuroinflammatory signaling pathways,and inhibit oxidative stress.This review is intended to offer in-sights and methodological references for basic research on curcu-min,as well as for the development of novel therapeutic agents for the treatment of depression.

The aim of this study was to investigate the virulence determinants and genetic diversity of foodborne Yersinia enterocolitica from Wenzhou.A total of 71 strains of Yersinia enterocolitica were isolated from food and foodborne diarrhea ca-ses in Wenzhou,and their biotypes,serotypes,and drug resistance were analyzed.On the basis of whole genome sequencing,we assessed virulence gene profiles,and performed multilocus sequence typing(MLST)and core gene multilocus sequence typ-ing(cgMLST).A total of 94.4％(67/71)of isolates belonged to biotype 1A,and the highest proportion had serotype lA/O∶5(29.6％,21/71).The sensitivity rates of the isolates to 14 antibiotics exceeded 95.8％.A total of 16 categories and 126 viru-lence genes were identified,with two strains carrying the pYV plasmid and chromosome-related virulence genes.ST3(31.6％,12/38)was the most widespread MLST type,and cgMLST analysis revealed no dense clusters of genotypes except for strains sharing the same ST.In conclusion,pathogenic strains were identified from foodborne Yersinia enterocolitica in Wenzhou and were found to exhibit high genetic polymorphism.Enhanced regulatory supervision is essential to prevent the outbreak of food-borne diseases caused by Yersinia enterocolitica.

ObjectiveTo investigate the value of baseline red cell distribution width （RDW） and alkaline phosphatase （ALP） level after ursodeoxycholic acid （UDCA） treatment for one month in predicting the response to UDCA treatment in patients with primary biliary cholangitis （PBC）. MethodsA retrospective analysis was performed for the data of 127 patients with PBC who were diagnosed in Department of Hepatology， The Third People’s Hospital of Jiangsu University， from January 2015 to July 2022， with data collected at baseline， after one month of treatment， and after one year of follow-up. Based on the Paris-I criteria， the patients were divided into good response group and poor response group， and the two groups were analyzed in terms of clinical and laboratory features and their association with response to UDCA. The Logistic regression method was used to investigate the independent risk factors for response to UDCA treatment. The area under the ROC curve （AUC） was used to determine the optimal cut-off values of related indicators； the patients were divided into two groups based on such values， and the two groups were compared in terms of baseline indicators and response. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. ResultsCompared with the good response group， the poor response group had significantly higher levels of total bilirubin， aspartate aminotransferase/alanine aminotransferase， ALP， RDW， and RDW-CV at baseline and a significantly higher level of ALP after one month of UDCA treatment （Z=-4.792， -3.697， -2.399， -4.102， -3.220， and -4.236， all P<0.05）. Compared with the good response group， the poor response group had significantly lower levels of albumin， hemoglobin， lymphocytes， hematocrit， and body mass index at baseline （Z=-3.592， -3.603， -2.602， -3.829， -2.432， all P<0.05）， as well as significantly lower levels of prealbumin， albumin/globulin ratio， apolipoprotein A， and free triiodothyronine at baseline （t=4.530， 3.402， 3.485， and 3.639， all P<0.001）. Compared with the poor response group， the good response group had a significantly lower proportion of patients with liver cirrhosis， gallstones/cholecystitis， or anemia （χ²=20.815， 3.892， and 12.283， all P<0.05）. Baseline RDW （odds ratio ［OR］=1.157， 95% confidence interval ［CI］： 1.028‍ — ‍1.301， P=0.015） and ALP level after one month of treatment （OR=1.012， 95%CI： 1.005‍ — ‍1.020， P=0.002） were independent risk factors for response to UDCA， with an AUC of 0.713 and 0.720， respectively. The patients with baseline RDW≥upper limit of normal （ULN） and ALP≥2.2×ULN after one month of UDCA treatment had a lower UDCA response rate （42.6% vs 8.2%， χ²=20.813， P<0.001）. ConclusionPatients with baseline RDW≥ULN and ALP≥2.2×ULN after one month of UDCA treatment tend to have a low biochemical response rate to UDCA.