Objective To investigate the occupational health status of the radiation workers in Xiamen, China, and provide direction and basis for improvement of occupational health surveillance. Methods After excluding duplicate records, a total of 7000 individuals who underwent occupational health examinations due to radiation exposure in Xiamen City from 2022 to 2023 were selected. Among them, 2499 individuals underwent examinations before employment, 4090 during employment, and 411 at the time of job separation. The results were analyzed. Results A total of 6979 (99.7%) individuals were deemed fit to engage (or continue engaging) in radiation work or to leave the position, while 21 (0.3%) individuals were found unfit. In the routine medical examinations of different genders, the items with relatively high abnormal rates included overweight and obesity (35.22%, χ² = 43.29, P < 0.01), abnormal liver function (33.74%, χ² = 153.53, P < 0.01), abnormal renal function (25.83%, χ² = 195.22, P < 0.01), and hyperuricemia (24.53%, χ² = 267.78, P < 0.01). For all of these items, the abnormality rates were significantly higher in males than in females. The abnormal rates of examination items related to radiation hazard factors were generally higher for females than for males. Statistically significant gender differences were observed in lens abnormality rate (χ² = 11.38, P < 0.001), the decrease rate of white blood cells (χ² = 12.04, P < 0.001), the abnormal rate of red blood cells (χ² = 25.47, P < 0.01), the abnormal rate of platelets (χ² = 88.07, P < 0.01), and the micronucleus rate of peripheral blood lymphocytes (χ² = 6.98，P = 0.008). The difference in micronucleus rate of peripheral blood lymphocytes among groups with different years of radiation exposure was statistically significant, and the rate increased with increasing exposure years. Conclusion Long-term exposure to radiation has a certain impact on the health of radiation workers. Radiation workers should enhance radiation protection measures, increase the awareness of protection, and reduce radiation-related damage.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.

[Purpose]To analyze the changes in the incidence trend of thyroid cancer from 1990 to 2021,and to predict the future incidence from 2022 to 2030.[Methods]We collected data related to the incidence of thyroid cancer among Chinese residents from 1990 to 2021 in the Global Bur-den of Disease 2021(GBD 2021)study,analyzed the trend of thyroid cancer incidence using the Joinpoint regression model,and constructed a Bayesian age-period-cohort(BAPC)model to pre-dict the future incidence of thyroid cancer during the years of 2022-2030,based on the inci-dence data during the years of 1990-2021.[Results]From 1990 to 2021,the age-standardized incidence rate(ASIR)of thyroid cancer in China showed a fluctuating upward trend,and the ASIR of thyroid cancer in China in 2021 was 2.47/105,slightly lower than the global average(2.91/105)in the same year.In 2021,there were significant differences in new cases and incidence rate of thyroid cancer between men and women,with the incidence rate of women being higher than that of men.Among them,the number of new cases in women was 27 915,the crude incidence rate was 4.02/105,and the ASIR was 2.87/105;in men,the number of new cases was 20 189,the crude incidence rate was 2.77/105,and the ASIR was 2.11/105.Between 1990 and 2021,the increase in the number of new cases,the crude incidence rate,and the ASIR of men in China was much larger than that of women.The ASIR of thyroid cancer in both male and female showed an in-creasing trend,while the average annual percentage change(AAPC)in female was lower than that in male.There were significant gender differences in the age-specific incidence rates of thyroid cancer.In 2021,the incidence rate of women was higher than that of men in the Chinese population＜75 years old,whereas the incidence rate of men was higher than that of women in the population≥75 years old.From 1990 to 2021,the incidence rates of the Chinese male population aged 45～59 years old and ≥75 years old increased significantly;and the incidence rate of the Chinese fe-male popu-lation aged 50～74 years old increased significantly.Projections showed that the ASIR of overall,male and female standardized incidence rates in 2030 increased to 2.90/105,2.44/105 and 3.26/105 respectively.[Conclusion]The incidence rate of thyroid cancer in China is on the rise,with the incidence rate of women being higher than that of men,but the incidence rate of men has increased more than that of women,and the gap between the incidence rates is narrow-ing,and the peak age of incidence of men is mostly in the senior age group.

[Purpose]To analyze the changes in the incidence trend of thyroid cancer from 1990 to 2021,and to predict the future incidence from 2022 to 2030.[Methods]We collected data related to the incidence of thyroid cancer among Chinese residents from 1990 to 2021 in the Global Bur-den of Disease 2021(GBD 2021)study,analyzed the trend of thyroid cancer incidence using the Joinpoint regression model,and constructed a Bayesian age-period-cohort(BAPC)model to pre-dict the future incidence of thyroid cancer during the years of 2022-2030,based on the inci-dence data during the years of 1990-2021.[Results]From 1990 to 2021,the age-standardized incidence rate(ASIR)of thyroid cancer in China showed a fluctuating upward trend,and the ASIR of thyroid cancer in China in 2021 was 2.47/105,slightly lower than the global average(2.91/105)in the same year.In 2021,there were significant differences in new cases and incidence rate of thyroid cancer between men and women,with the incidence rate of women being higher than that of men.Among them,the number of new cases in women was 27 915,the crude incidence rate was 4.02/105,and the ASIR was 2.87/105;in men,the number of new cases was 20 189,the crude incidence rate was 2.77/105,and the ASIR was 2.11/105.Between 1990 and 2021,the increase in the number of new cases,the crude incidence rate,and the ASIR of men in China was much larger than that of women.The ASIR of thyroid cancer in both male and female showed an in-creasing trend,while the average annual percentage change(AAPC)in female was lower than that in male.There were significant gender differences in the age-specific incidence rates of thyroid cancer.In 2021,the incidence rate of women was higher than that of men in the Chinese population＜75 years old,whereas the incidence rate of men was higher than that of women in the population≥75 years old.From 1990 to 2021,the incidence rates of the Chinese male population aged 45～59 years old and ≥75 years old increased significantly;and the incidence rate of the Chinese fe-male popu-lation aged 50～74 years old increased significantly.Projections showed that the ASIR of overall,male and female standardized incidence rates in 2030 increased to 2.90/105,2.44/105 and 3.26/105 respectively.[Conclusion]The incidence rate of thyroid cancer in China is on the rise,with the incidence rate of women being higher than that of men,but the incidence rate of men has increased more than that of women,and the gap between the incidence rates is narrow-ing,and the peak age of incidence of men is mostly in the senior age group.

his cross-sectional study employed convenience sampling to enroll 1 994 community-dwelling older adults (aged ≥65 years) undergoing health examinations at a Guangzhou community hospital between January and December 2024, aiming to investigate associations between blood lipid profiles and cognitive impairment. Cognitive function was assessed using the AD8 scale, with demographic characteristics (age, sex, education, occupation), health status (hypertension, diabetes mellitus), and lifestyle factors (smoking/alcohol use) collected via questionnaires. Fasting blood samples quantified triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Propensity score matching (PSM) balanced baseline characteristics between lipid-level groups. Pre-PSM analyses revealed significant intergroup differences: TG groups differed in sex, BMI, alcohol use, hypertension, and self-rated health ( P<0.05); TC groups in sex, age, occupation, diabetes, and hypertension; LDL-C groups in sex, age, occupation, diabetes, hypertension, and daily living ability; HDL-C groups in sex, age, education, occupation, BMI, smoking, diabetes, and hypertension. Post-PSM adjustment eliminated baseline differences ( P>0.05). Multivariable logistic regression adjusted for demographic, clinical, and lifestyle factors demonstrated that elevated TG levels conferred a 48% reduced risk of cognitive dysfunction [ OR (95% CI): 0.52 (0.29-0.94)], whereas TC, LDL-C, and HDL-C showed no significant associations (all P>0.05). These findings suggest an inverse association between higher triglyceride levels and cognitive dysfunction risk in older adults, highlighting TG′s potential protective role in cognitive health.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective:To construct a eukaryotic expression vector for bacteriophage D29 LysinB/Holin fusion protein and study its bactericidal efficacy against Mycobacterium tuberculosis ( Mtb) in a cell infection model. Methods:A recombinant plasmid pET32a-LysinB was constructed and induced to express LysinB. The polyclonal antibody against LysinB was prepared after the purification of LysinB. A recombinant plasmid pcDNA3.1(+ )-LysinB/Holin was constructed and transfected into mononuclear macrophages RAW264.7. After the expression of the prepared polyclonal antibody was identified, a cell infection model was established and the bactericidal efficacy of LysinB/Holin fusion protein was measured by acid-fast staining and colony counting.Results:The polyclonal antibody against LysinB was successfully prepared. The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin could effectively express LysinB/Holin fusion protein in eukaryotic cells without inducing significant cytotoxicity. LysinB/Holin fusion protein was effective in killing Mtb in cells. Conclusions:The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin has a better killing effect on intracellular Mtb without inducing obvious cytotoxicity against eukaryotic cells, showing a potential in the treatment of tuberculosis.

Objective To develop an oxybutynin nanotransdermal formulation with high skin permeability based on cubsomes carrier.Methods The oxybutynin loaded cubsomes(OXY-CS)was prepared by ultrasonic method.Using particle size,polydispersity index and encapsulation efficiency as evaluation indexes,stirring temperature,stirring time,stirring speed,ultrasound time,ultrasound power,glycerol monooleate/poloxamer 407 ratio(GMO/F127),carrier(GMO+F127)/drug ratio and drug concentration were optimized.The effects of drug concentration,permeation promoter and gel matrix type on skin permeability were investigated using cumulative permeation and skin retention as evaluation indicators.Results The prepared OXY-CS had small particle size and high encapsulation efficiency at stirring temperature of 50℃,stirring time of 30 min,stirring speed of 1 000 r/min,ultrasound time of 10 min,ultrasound power of 100 W,GMO/F127 ratio of 2∶1,carrier/drug ratio of 3∶1 and drug concentration of 1％,respectively.OXY-CS had high cumulative penetration and skin retention at concentration ≥ 3％.The addition of a permeation promoter to OXY-CS did not increase the cumulative penetration of the drug.The skin permeability of oxybutynin cubsomes gel made with carbomer was significantly better than those of other gel matrices.Conclusion In this study,oxybutynin is made into a topical cubsomes gel,which is expected to reduce the incidence of adverse effects associated with oral administration.

Laboratory medicine is an important subject of auxiliary clinical diagnosis, and the postgraduate education of clinical laboratory diagnostics is the key to cultivating high-end laboratory talents. This study analyses the differences in the postgraduate education model of clinical laboratory diagnostics between China and Australia from the four aspects of academic degree system, curriculum setting, teaching methods, and autonomous learning ability training and discusses the postgraduate education reform of laboratory medicine in China. With reference to the advanced experience of countries with a well-developed education system, the education reform in China can improve the comprehensive quality of postgraduate student in laboratory medicine and enhance the medical level of China.