Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

With the rapid development of the interdisciplinary area of artificial intelligence and medi-cine,large language model(LLM)has been widely used in the fields such as diagnosis and treatment,medi-cine,and healthcare.LLM has unique advantages in the field of traditional Chinese medicine(TCM),such as high consistency with the"Four Diagnostic Methods",perfect combination of natural language and self-super-vised learning in TCM,the ability to adapt to the characteristics TCM formulas,and the assistance in TCM di-agnosis and treatment.At present,various LLM models have been developed,including the"Qihuang Ask Big Model"and the Digital Traditional Chinese Medicine Big Model"GLM-130B",but they still face challenges such as value mismatch and medical abuse,increased demand for interpretability,lack of advanced technolo-gy,and domestic policy access.This article reviews the evolution of LLM,its unique advantages and applica-tions in the field of TCM,the problems and challenges,and the future development trends,in order to provide reference for the further promotion of LLM in traditional medicine.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To analyze the impact of changes in cardiovascular and cerebrovascular diseases mortality on the gender gap in life expectancy among Tianjin residents from 2004 to 2020.Methods:This is a cross-sectional study. The data sources included all-cause death surveillance data collected by the Tianjin Centre for Disease Control and Prevention, covering the entire population of Tianjin from 2004 to 2020, and the number of urban and rural residents by age, sex, and urban and rural areas from the Population Management Office of the Tianjin Public Security Bureau during the same period. The abbreviated life table and Arriaga′s decomposition method were applied to analyze the cause-of-death surveillance data of Tianjin residents from 2004 to 2020, and to calculate the impact of changes in mortality rates of cardiovascular and cerebrovascular diseases on gender differences in life expectancy by age, subcategory, and urban and rural areas.Results:In 2004, there were 56 189 deaths among Tianjin residents, including 31 233 males and 24 956 females. In 2020, there were 79 782 deaths among Tianjin residents, including 44 829 males and 34 953 females. The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents increased from 1.52 years in 2004 to 2.02 years in 2020, with females having a longer life expectancy than males. The cumulative impact rate was higher among residents aged 40-74 years, increasing from 26.41% to 33.48%, while the cumulative impact rate among residents aged≥75 declined from 12.66% to 8.54%. The impact rates of intracerebral hemorrhage and cerebral infarction decreased significantly during the observation period, with intracerebral hemorrhage impact rate decreasing from 13.21% to 6.12% and cerebral infarction impact rate decreasing from 11.32% to 5.02%. The impact rate of acute myocardial infarction decreased but remained at a high level, from 9.70% to 6.99%. The impact rate of sequelae of cerebrovascular disease and other coronary heart diseases increased significantly, with the impact rate of sequelae of cerebrovascular disease increasing from 0.54% to 14.42% and the impact rate of other coronary heart diseases rising from 1.35% to 6.34%. The impact of sequelae of cerebrovascular disease deaths on the gender difference in life expectancy was greater in urban areas compared to rural areas, with an increase of 2 101.41% in urban areas and 1 898.51% in rural areas.Conclusions:The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents is widening. Attention should be paid to the prevention of cerebrovascular disease sequelae and other coronary heart diseases among males aged of 40-74 years in urban areas.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective:To analyze the impact of changes in cardiovascular and cerebrovascular diseases mortality on the gender gap in life expectancy among Tianjin residents from 2004 to 2020.Methods:This is a cross-sectional study. The data sources included all-cause death surveillance data collected by the Tianjin Centre for Disease Control and Prevention, covering the entire population of Tianjin from 2004 to 2020, and the number of urban and rural residents by age, sex, and urban and rural areas from the Population Management Office of the Tianjin Public Security Bureau during the same period. The abbreviated life table and Arriaga′s decomposition method were applied to analyze the cause-of-death surveillance data of Tianjin residents from 2004 to 2020, and to calculate the impact of changes in mortality rates of cardiovascular and cerebrovascular diseases on gender differences in life expectancy by age, subcategory, and urban and rural areas.Results:In 2004, there were 56 189 deaths among Tianjin residents, including 31 233 males and 24 956 females. In 2020, there were 79 782 deaths among Tianjin residents, including 44 829 males and 34 953 females. The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents increased from 1.52 years in 2004 to 2.02 years in 2020, with females having a longer life expectancy than males. The cumulative impact rate was higher among residents aged 40-74 years, increasing from 26.41% to 33.48%, while the cumulative impact rate among residents aged≥75 declined from 12.66% to 8.54%. The impact rates of intracerebral hemorrhage and cerebral infarction decreased significantly during the observation period, with intracerebral hemorrhage impact rate decreasing from 13.21% to 6.12% and cerebral infarction impact rate decreasing from 11.32% to 5.02%. The impact rate of acute myocardial infarction decreased but remained at a high level, from 9.70% to 6.99%. The impact rate of sequelae of cerebrovascular disease and other coronary heart diseases increased significantly, with the impact rate of sequelae of cerebrovascular disease increasing from 0.54% to 14.42% and the impact rate of other coronary heart diseases rising from 1.35% to 6.34%. The impact of sequelae of cerebrovascular disease deaths on the gender difference in life expectancy was greater in urban areas compared to rural areas, with an increase of 2 101.41% in urban areas and 1 898.51% in rural areas.Conclusions:The gender difference in life expectancy attributable to cardiovascular and cerebrovascular diseases among Tianjin residents is widening. Attention should be paid to the prevention of cerebrovascular disease sequelae and other coronary heart diseases among males aged of 40-74 years in urban areas.

With the rapid development of the interdisciplinary area of artificial intelligence and medicine, large language model (LLM) has been widely used in the fields such as diagnosis and treatment, medicine, and healthcare. LLM has unique advantages in the field of traditional Chinese medicine (TCM), such as high consistency with the "Four Diagnostic Methods", perfect combination of natural language and self-supervised learning in TCM, the ability to adapt to the characteristics TCM formulas, and the assistance in TCM diagnosis and treatment. At present, various LLM models have been developed, including the "Qihuang Ask Big Model" and the Digital Traditional Chinese Medicine Big Model "GLM-130B", but they still face challenges such as value mismatch and medical abuse, increased demand for interpretability, lack of advanced technology, and domestic policy access. This article reviews the evolution of LLM, its unique advantages and applications in the field of TCM, the problems and challenges, and the future development trends, in order to providereference for the further promotion of LLM in traditional medicine.

Objective:The electroencephalogram(EEG)signals were collected for analysis to define the differences in dy-namic functional connectivity of the brain network of related nodes in the primary motor area(M1)and pre-motor area(PMA)during motor imagination and motor execution.The relationship between muscle synergy and isolated movement was also explored. Method:Ten stroke patients with right hemiplegia and nineteen healthy adults participated in this study.All participants performed motor imagination(MI)and motor execution(ME)tasks according to visual instruc-tions.We recorded and analyzed the EEG signals at 12 sites located in Ml and PMA areas.The chosen EEG signals were filtered and analyzed based on the modified S-transform(MST).All data were normalized to avoid individual differences.Then we analyzed the data with Pearson correlation to identify the dynamic func-tional connectivity(FC)and the differences with Fisher's exact test for node degrees. Result:All the distribution trend of correlation degree of chosen node about left or right MI and ME of stroke patients was similar to that of healthy participants.Compared with the motion execution,the function connection strength and density of each node were elevated at MI,which was also consistent with healthy par-ticipants.When healthy adults underwent left hand MI,the degree of the C4 node in the Ml area was signifi-cantly higher than that of C3 on the opposite side(P＜0.05),while at right hand MI,the sum of the node de-grees of FC3 and FC1 in the left PMA area was significantly higher than that of the lateral symmetric chan-nel FC4 and FC2(P＜0.05).When the right upper limb isolated movement was performed,the node degree of C3 decreased significantly(P＜0.05). Conclusion:The major region of function connectivity of the right hand MI was in the left PMA area,and the node degree at MI was higher than ME.The functional connectivity of each node at the left hand MI was dispersed.The main channels activated by the muscle synergy are different from the isolated movement.

Objective:To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application.Methods:A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively.Results:A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] ( Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=-2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ 2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference ( Z=-0.78, P=0.439). Conclusions:Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy.