Objective:To explore the relationship between obesity indicators and DNA methylation clocks acceleration,and to analyze their temporal sequence.Methods:Data were obtained from two sur-veys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry.Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip.DNA methylation clocks/acceleration metrics(GrimAA,PCGrimAA and Dunedin-PACE)were calculated using the DNA methylation online tool(https://dnamage.genetics.ucla.edu/)or R code provided by researchers.Obesity indicators included weight,body mass index(BMI),waist circumference,waist-hip ratio,and waist-height ratio.A total of 1 070 twin individuals were included in the cross-sectional analysis,comprising 378 monozygotic(MZ)twin pairs and 155 dizygotic(DZ)twin pairs for within-pair analysis.Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks,as well as their acceleration measures.The longitudinal analysis included 314 twin individuals,comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analy-sis.Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators.All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.Results:In the cross-sectional analysis population,monozygotic twins accounted for 71.0％,males for 68.0％,and the mean chronological age was(49.9±12.1)years.In the longitudinal analysis population,monozygotic twins accounted for 60.5％,males for 60.8％,with a mean baseline chronological age of(50.4±10.2)years and a mean follow-up duration of(4.6±0.6)years.Except for the waist-to-hip ratio,which was significantly higher at follow-up com-pared with baseline,no statistically significant differences were observed in the means of other obesity in-dicators between baseline and follow-up.Correlation analysis revealed that weight,BMI,waist circumfe-rence,waist-hip ratio(WHR),and waist-height ratio(WHtR)were positively correlated with Dunedin-PACE in all the twins,with WHtR showing the strongest association(β=0.21,95％CI:0.11 to 0.31).Weight and BMI were negatively associated with GrimAA(β=-0.03,95％CI:-0.05 to-0.01;β=-0.07,95％CI:-0.12 to-0.02),while weight was negatively associated with PCGrim-AA(β=-0.02,95％CI:-0.03 to 0.00).However,within-twin-pair analyses showed no statistically significant correlations.Cross-lagged panel model analysis indicated that higher baseline weight might lead to increased GrimAA at follow-up,while elevated baseline weight,BMI,and waist circumference might increase PCGrimAA.Higher baseline WHR was associated with increased DunedinPACE at follow-up.Conclusion:Obesity indicators correlate with DNA methylation clock acceleration metrics.Baseline obesity may influence changes in certain DNA methylation clock indicators over time,suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging.However,these associations may be confounded by shared genetic or environmental factors among the twins.

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.

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 explore the relationship between obesity indicators and DNA methylation clocks acceleration,and to analyze their temporal sequence.Methods:Data were obtained from two sur-veys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry.Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip.DNA methylation clocks/acceleration metrics(GrimAA,PCGrimAA and Dunedin-PACE)were calculated using the DNA methylation online tool(https://dnamage.genetics.ucla.edu/)or R code provided by researchers.Obesity indicators included weight,body mass index(BMI),waist circumference,waist-hip ratio,and waist-height ratio.A total of 1 070 twin individuals were included in the cross-sectional analysis,comprising 378 monozygotic(MZ)twin pairs and 155 dizygotic(DZ)twin pairs for within-pair analysis.Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks,as well as their acceleration measures.The longitudinal analysis included 314 twin individuals,comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analy-sis.Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators.All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.Results:In the cross-sectional analysis population,monozygotic twins accounted for 71.0％,males for 68.0％,and the mean chronological age was(49.9±12.1)years.In the longitudinal analysis population,monozygotic twins accounted for 60.5％,males for 60.8％,with a mean baseline chronological age of(50.4±10.2)years and a mean follow-up duration of(4.6±0.6)years.Except for the waist-to-hip ratio,which was significantly higher at follow-up com-pared with baseline,no statistically significant differences were observed in the means of other obesity in-dicators between baseline and follow-up.Correlation analysis revealed that weight,BMI,waist circumfe-rence,waist-hip ratio(WHR),and waist-height ratio(WHtR)were positively correlated with Dunedin-PACE in all the twins,with WHtR showing the strongest association(β=0.21,95％CI:0.11 to 0.31).Weight and BMI were negatively associated with GrimAA(β=-0.03,95％CI:-0.05 to-0.01;β=-0.07,95％CI:-0.12 to-0.02),while weight was negatively associated with PCGrim-AA(β=-0.02,95％CI:-0.03 to 0.00).However,within-twin-pair analyses showed no statistically significant correlations.Cross-lagged panel model analysis indicated that higher baseline weight might lead to increased GrimAA at follow-up,while elevated baseline weight,BMI,and waist circumference might increase PCGrimAA.Higher baseline WHR was associated with increased DunedinPACE at follow-up.Conclusion:Obesity indicators correlate with DNA methylation clock acceleration metrics.Baseline obesity may influence changes in certain DNA methylation clock indicators over time,suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging.However,these associations may be confounded by shared genetic or environmental factors among the twins.

Objective:To analyze the molecular epidemiological characteristics of the Corona virus disease 2019 (COVID-19) cases in Shijiazhuang, which can reveal the origin of the outbreak and provide a scientific basis for COVID-19 prevention and control.Methods:From January 2 to January 8, 2021, a total of 404 samples from 170 COVID-19 cases were collected from the Shijiazhuang Fifth Hospital. The consensus sequence of 2019 novel Coronavirus(2019-nCoV) was obtained through multiplex polymerase chain reaction-based sequencing. The sequences of 170 COVID-19 cases were analyzed by the PANGOLIN, and the data were statistically analyzed by T-test.Results:Among the 404 COVID-19 samples, a total of 356 samples obtained high quality genome sequences (>95%,100×sequencing depth). The whole genome sequences of 170 COVID-19 cases were obtained by eliminating repeated samples. All 170 sequences were recognized as lineage B1.1 using PANGOLIN. The number of single nucleotide polymorphism arrange from 18-22 and most of the single nucleotide polymorphism were synonymous variants. All of 170 genomes could be classified into 48 sub-groups and most of the genomes were classified into 2 sub-groups (66 and 31, respectively).Conclusions:All cases in this study are likely originated from one imported case. The viruses have spread in the community for a long time and have mutated during the community transmission.

Objective:To investigate the effect of virtual reality (VR) attention training on cognitive function in patients with depressive episode.Methods:64 patients diagnosed as major depressive disorder and bipolar disorder depressive episodes according to the DSM-5 criteria were recruited. They were randomized into virtual reality training (VRT) group ( n=23), computerized cognitive remediation therapy (CCRT) group ( n=21) and blank control group ( n=20). Prior to the intervention, seven cognitive functions were assessed with the MATRICS Consensus Cognitive Battery (MCCB)-B version in all patients, via information processing speed (IPS), attention/alertness (ATT), working memory, word learning, visual learning (VL), reasoning and problem solving, and social cognition. VRT group and CCRT group were trained for four weeks at a frequency of five days a week, and half an hour for each day training. Blank control group did not receive any treatment related to attention training. After the training, three groups were assessed by the MCCB-A. The differences of the cognitive functions among three groups were explored by the repeated analysis of ANOVA and paired sample ttest. Results:(1) Before the intervention, there were no differences in all cognitive functions (all P>0.05) among three groups. (2) After four-week interventions, the cognition of IPS, ATT and VL in VRT group (56.74±9.68, 56.48±10.22, 57.83±4.16), CCRT group (48.90±9.77, 49.48±9.51, 55.95±5.52) and the blank control group (50.35±7.93, 47.55±7.80, 47.95±9.90) had significant groups×time interactions ( F=14.06, 12.88, 9.39, all P<0.01); simple effect analysis showed that IPS and ATT scores in VRT group were higher than both CCRT group and the blank control group (all P<0.05), while the VL scores in VRT group and CCRT group were both higher than the blank control group (all P<0.01).(3) Cognitive functions in VRT group significantly improved in IPS, ATT, VL and overall domains compared with the baseline ( t=-9.33, -6.00, -5.13, -6.26, all P<0.01). Conclusion:VR attention training may be more beneficial than CCRT attention training to improve the attention among depressive patients.

Objective:To investigate the effect of virtual reality (VR) attention training on cognitive function in patients with depressive episode.Methods:64 patients diagnosed as major depressive disorder and bipolar disorder depressive episodes according to the DSM-5 criteria were recruited. They were randomized into virtual reality training (VRT) group ( n=23), computerized cognitive remediation therapy (CCRT) group ( n=21) and blank control group ( n=20). Prior to the intervention, seven cognitive functions were assessed with the MATRICS Consensus Cognitive Battery (MCCB)-B version in all patients, via information processing speed (IPS), attention/alertness (ATT), working memory, word learning, visual learning (VL), reasoning and problem solving, and social cognition. VRT group and CCRT group were trained for four weeks at a frequency of five days a week, and half an hour for each day training. Blank control group did not receive any treatment related to attention training. After the training, three groups were assessed by the MCCB-A. The differences of the cognitive functions among three groups were explored by the repeated analysis of ANOVA and paired sample ttest. Results:(1) Before the intervention, there were no differences in all cognitive functions (all P>0.05) among three groups. (2) After four-week interventions, the cognition of IPS, ATT and VL in VRT group (56.74±9.68, 56.48±10.22, 57.83±4.16), CCRT group (48.90±9.77, 49.48±9.51, 55.95±5.52) and the blank control group (50.35±7.93, 47.55±7.80, 47.95±9.90) had significant groups×time interactions ( F=14.06, 12.88, 9.39, all P<0.01); simple effect analysis showed that IPS and ATT scores in VRT group were higher than both CCRT group and the blank control group (all P<0.05), while the VL scores in VRT group and CCRT group were both higher than the blank control group (all P<0.01).(3) Cognitive functions in VRT group significantly improved in IPS, ATT, VL and overall domains compared with the baseline ( t=-9.33, -6.00, -5.13, -6.26, all P<0.01). Conclusion:VR attention training may be more beneficial than CCRT attention training to improve the attention among depressive patients.

Objective To evaluate the technique of finger palpation in thoracoscopic localization in patients with pulmonary nodules,and to summarize its technical details,especially with exploit of chest computed tomography (CT) facilitating it.Methods 95 patients with total amount of 109 pulmonary nodes 20 mm or smaller in size shown with lung window of CT,were reviewed.They were located subpleurally,with a median depth of 8.2 mm and a median size of 10.0 mm.The value of their depth over their size (D/d value) could be used as the extent of localizing difficulty.Each node had its own radiographic fealures for being localized,which was built preoperatively.Under thoracoscopic vision,nodules were finger-palpated by index finger via the 4th or 5th intercostal space on anterior axillary line,followed by wedgectomy or lobectomy for instant histopathological diagnosis to further decide the final surgical type.The distance between the nodule and the origin of segmental bronchus (L value) were also calculated out,as it might be relevant to the way the nodule could be biopsied.Results All nodules were successfully localized and resected for biopsy goal,105 by wedgectomy,4 by lobectomy.After intraoperative diagnosis was made by the pathologist,VATS lobectomy and lymph node dissection were further performed in 55 patients.L value of 4 cases being biopsied by lobectomy ranged from 18.3 to 30.3 mm,averaging 26.1 mm.Conclusion Finger palpation is viable in any cases of pulmonary nodules.Detailed reference of CT digital information,and enough detachment of mediastinal pleura,can greatly facilitate thoracoscopic localization by finger palpation.Lobectomy or segementectomy is preferable when L value is less than 30 mm.