Objective To analyze the distribution characteristics of the single nucleotide polymorphism (SNP) site rs76206423 in the promoter region of the interleukin-2 receptor (IL-2R) β gene among Han males in a high radiation background area (HBRA) in Yangjiang City. Methods A total of 48 male participants from Tangkou Town, Yangxi County, Yangjiang City (HBRA group), and 51 male participants from Hengpo Town, Enping City (control group) were selected as the research subjects using the random number table method. Peripheral venous blood samples of participants from both groups were collected, and genomic DNA was extracted. The genotyping and allele frequency distribution of the rs76206423 (A/G) site in the IL-2R β promoter region was detected among the participants in both groups using the SNP detection method. The difference of allele frequencies between population in HBRA group and five area of East Asia, South Asia, Africa, Europe, and the Americas published in the Human Genome Project database from National Center for Biotechnology Information were analyzed. Results The allele frequencies of rs76206423 of population in both groups conformed to Hardy-Weinberg equilibrium (P>0.05). In the HBRA group, the AA genotype was predominant (64.6%), while the AG genotype was the most common in the control group (51.0%), with a significant difference (P<0.05). Population in both groups showed a predominance of the variant allele A (78.1% and 72.5%, respectively), with no significant difference (P>0.05). The frequency of the G allele of rs76206423 in the population in HBRA group was higher than those in South Asian, African, European, and American populations (all P<0.01), but showed no significant difference compared with East Asian populations (P>0.05). Conclusion In the Han male population from the HBRA in Yangjiang City, the rs76206423 site in the IL-2R β gene promoter region is predominantly composed of the wild-type A allele and AA genotype, indicating genetic stability and a relatively high degree of variation at this locus.

Objective: To compare and analyze the antibacterial effects of platelets against five common clinical pathogenic bacteria including MRSA, SE, SA, E. coli, and CRKP, and to preliminarily explore the role of DCD sensitivity in the observed variations of antibacterial effects. Methods: The same number of platelets were used to establish co-culture systems of platelets and platelet lysates with the five pathogenic bacteria. The antibacterial effects of platelets and platelet lysates on the five pathogenic bacteria were evaluated by observing the turbidity of the bacterial solution, measuring the OD value of the bacterial solution and counting the colonies. The supernatant protein of platelets co-cultured with MRSA was collected for quantitative proteomics analysis to explore the important antibacterial proteins of platelets. The content of DCD in the supernatant after co-culture of platelets and platelet lysates with the five pathogenic bacteria was detected by ELISA to preliminarily analyze the reasons for the different antibacterial effects of platelets on the five pathogenic bacteria. Results: Compared with the control group of MRSA, SA, and SE, the turbidity of the bacterial solution decreased after co-culture of platelets and platelet lysates with MRSA, SA, and SE for 12 h, and the OD value and colony count were significantly reduced (P<0.05). The turbidity of the bacterial solution did not change significantly after co-culture of platelets and platelet lysates with E. coli for 24 h, but the OD value decreased (P<0.05), and the colony count decreased to 10 CFU/mL but the difference was not statistically significant (P>0.05). Compared with the control group of CRKP, the turbidity, OD value, and colony count of the bacterial solution did not change significantly after co-culture of platelets and platelet lysates with CRKP (P>0.05). Proteomics results showed that after co-culture with MRSA, important proteins related to platelet activation, including collagen, fibrinogen, von Willebrand factor, integrin αIIbβ3, platelet glycoprotein V and IV were significantly up-regulated. ELISA results showed that after co-culture with the five pathogenic bacteria, platelets could secrete a large amount of DCD, with the content around 3 μg/mL. Conclusion: The antibacterial effect of platelets on Gram-positive bacteria MRSA, SA, and SE is better than that on Gram-negative bacteria E. coli and CRKP, and platelets have the best antibacterial effect on MRSA. The differences in antibacterial effects of platelets on the five pathogenic bacteria may be related to the sensitivity of DCD antibacterial peptides to the five pathogenic bacteria.

Objective To study the correlation of an ultra high performance liquid chromatography(UPLC)fingerprint of Xiaochengqitang pieces(decoction and granules).Methods The UPLC method was used to establish the fingerprint of 15 batches of Xiaochengqitang pieces(decoction and granules).The correlation of the three UPLC fingerprints was evaluated by similarity analysis,pearson correlation analysis,cluster analysis(CA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA).Results UPLC fingerprints of 15 batches of Xiaochengqitang pieces(decoction and granules)determined 16 common peaks,and 14 peaks were identified.The similarity of the fingerprints of the 15 batches of Xiaochengqitang pieces(decoction and granules)with the corresponding control fingerprints was greater than 0.90,and the similarity of the three control fingerprints was greater than 0.88.The results of pearson correlation analysis showed that 8 common peaks in Xiaochengqitang pieces(decoction and granules)had a very significant positive correlation.The results of CA showed that the properties of Xiaochengqitang decoction and granules were more similar.The results of PCA showed that the principal components with 4 eigenvalues greater than 1 contained 88％of the information of the original data.OPLS-DA screened 7 differential markers with variable importance projection value greater than 1.Conclusion The main chemical compositions of Xiaochengqitang pieces(decoction and granules)are consistent,which can provide data support for the quality control and clinical use of Xiaochengqitang compound preparation.

Objective To explore the difference in efficacy of metoprolol versus ivabradine in the treatment of postural orthostatic tachycardia syndrome(POTS)in the elderly after COVID-19 infection.Methods A total of 110 patients diagnosed with POTS at our department from Decem-ber 1,2022 to January 31,2023 were included.According to their drug regimen,they were divided into metoprolol group(62 patients)and ivabradine group(48 patients).On the 28th day of out-patient follow-up,the resting heart rate,heart rate of 10 min of standing,symptom disappearance rate,hospitalization rate,and mortality rate were compared between the two groups.Results On the 28th day of treatment,the resting heart rate and postural heart rate for 10 min were decreased in both groups when compared with the levels at initial diagnosis(P＜0.01).And there were no significant differences in the two types of heart rate between the two groups on the 28th day(71.0±7.0 vs 72.1±7.0,P=0.401;76.5±7.2 vs 77.4±7.6,P=0.573).No obvious differences were observed between the two groups in symptom disappearance rate,hospitalization rate,or mortality rate(88.7％vs 89.6％,3.2％vs2.1％,0％vs 0％,P＞0.05).Conclusion Metoprolol and ivabradine can effectively treat POTS in the elderly patients after COVID-19 infection.

Purpose/Significance To sort out the literature in the field of traditional Chinese medicine(TCM)in China in the past decade,and to expound the hot topics and development trends in this field.Method/Process Literature in the field of TCM in Wanfang Data from 2013 to 2022 is searched.The abstracts are taken as the research objects,the topics are extracted by BERTopic model,and CiteSpace is used for visualization and analysis.Result/Conclusion 12 683 papers in Chinese are included,and the 5 topics are found:clinical trials and efficacy,research on pathogenesis and pharmacology,the development of the field of TCM,treatment of chronic dis-ease,drug analysis and literature research.The paper makes an in-depth analysis of the topic of the development of traditional Chinese medicine,which continues to grow in popularity,and puts forward that the deep integration of artificial intelligence(AI)and TCM is the future trend.

Purpose/Significance The paper discusses the construction of the current elderly health policy system by using policy text min-ing and quantitative evaluation,and provides references for future policy adjustment and optimization.Method/Process Policies on elderly health issued by the relative departments from 2019 to 2023 are analyzed.The ROST text data mining tool is used to extract high-frequency words and build semantic networks.Gephi is utilized to visualize social network relationships for text analysis.Quantitative analysis of these policies is conducted using the PMC index model.Results/Conclusion The high-frequency words such as"national","society","knowl-edge","resources",and"guarantee"are identified as key areas in elderly health policies,which are interconnected within the social network.The overall trend of the elderly health policy formulation is positive.It is suggested to improve the accuracy and adaptability of the policy,clari-fy the time node and core elements of the policy,and enhance the strategic analysis of the function and content of the policy.

Objective:To investigate the status quo and influencing factors of health self-management ability of scientific and technological workers in Shanxi Province.Methods:This study was a cross-sectional study. Using the general situation questionnaire and the adult health self-management ability evaluation scale, 467 scientific and technological workers who received physical examination in the First Hospital of Shanxi Medical University from January 2022 to September 2022 were investigated by questionnaire, and their height, weight, body mass index, fasting blood glucose, blood lipids and blood uric acid were collected on the day of physical examination. Multiple linear regression analysis was used to explore the influencing factors of health self-management ability, and Pearson and Spearman correlation analysis was used to analyze the correlation between health self-management ability and examination items.Results:The total score of health self-management ability of 467 scientific and technological workers was (153.7±16.5). The results of multiple linear regression showed that the type of medical insurance, self-assessment of health status, staying up late, and sleep quality were independent influencing factors of health self-management ability ( R2=0.141, adjusted R2=0.120, F=6.771; P<0.001). Health self-management ability was positively correlated with high-density lipoprotein ( r=0.114), behavioral subscale was positively correlated with high-density lipoprotein ( r=0.107), environmental subscale was negatively correlated with uric acid ( r=-0.103), triglyceride ( r=-0.118), and positively correlated with high-density lipoprotein ( r=0.129), and cognitive subscale was negatively correlated with triglyceride ( r=-0.125), all of which were statistically significant ( P<0.05). Conclusions:The ability of health self-management of scientific and technological workers in Shanxi Province belongs to the upper middle level, which is affected by the type of medical insurance, the self-assessment of health status, staying up late, and the quality of sleep. It is suggested that the ability of health self-management of scientific and technological workers can be improved by strengthening their health beliefs, providing a more convenient working environment, reducing the frequency of staying up late, and improving their sleep quality.

Objective:To identify the influencing factors for community elderly health services provided by general practitioners (GPs) using the social ecological theory, for reference in improving their participation and satisfaction.Methods:According to the social ecological theory, an ecological model for GPs to carry out community elderly health services was constructed from four levels: public policy ecology, community health service ecology, interpersonal relationship ecology, and individual characteristics ecology of general practitioners. A survey questionnaire was designed with six latent variables: public health policy support, public health service and basic medical service supply, doctor-patient relationship, individual participation and individual satisfaction. The questionnaire was distributed to 220 GPs from 11 primary healthcare institutions in Jiangsu province, China, who were randomly selected between October and November 2021. Exploratory and confirmatory analyses of the model were conducted using AMOS 25.0.Results:A total of 207 valid questionnaires were collected, and all the KMO values of the six latent variables were greater than 0.7, while the composite reliability values and average variance extracted values greater than 0.7 and 0.5, respectively. Both the reliability and validity of the data met the analysis requirements. Exploratory analysis revealed that public health policy support had a direct positive effect on both public health service and basic medical service supply (both effect sizes being 0.37). Public health service had a direct positive effect on doctor-patient relationship, individual participation and individual satisfaction (effect sizes being 0.52, 0.22, and 0.31, respectively). The direct effect of basic medical service supply on doctor-patient relationship was not significant (effect size being 0.03), but it had a direct positive effect on public health service (effect size being 0.46). Doctor-patient relationship had a direct positive effect on individual participation (effect size being 0.51), but its direct effect on individual satisfaction was not significant (effect size being 0.06). Individual participation had a direct positive effect on individual satisfaction (effect size being 0.52). Conclusions:By optimizing the public policy ecosystem, community health service ecosystem, and interpersonal relationship ecosystem, the participation and satisfaction of general practitioners can be systematically improved.

Parvalbumin interneurons belong to the major types of GABAergic interneurons. Although the distribution and pathological alterations of parvalbumin interneuron somata have been widely studied, the distribution and vulnerability of the neurites and fibers extending from parvalbumin interneurons have not been detailly interrogated. Through the Cre recombinase-reporter system, we visualized parvalbumin-positive fibers and thoroughly investigated their spatial distribution in the mouse brain. We found that parvalbumin fibers are widely distributed in the brain with specific morphological characteristics in different regions, among which the cortex and thalamus exhibited the most intense parvalbumin signals. In regions such as the striatum and optic tract, even long-range thick parvalbumin projections were detected. Furthermore, in mouse models of temporal lobe epilepsy and Parkinson's disease, parvalbumin fibers suffered both massive and subtle morphological alterations. Our study provides an overview of parvalbumin fibers in the brain and emphasizes the potential pathological implications of parvalbumin fiber alterations.
Mice ; Animals ; Epilepsy, Temporal Lobe/pathology* ; Parvalbumins/metabolism* ; Parkinson Disease/pathology* ; Neurons/metabolism* ; Interneurons/physiology* ; Disease Models, Animal ; Brain/pathology*