This study analyzed the epidemiological characteristics and strain genotypic distribution of varicella in Fengtai District, Beijing, utilizing population-based surveillance data from March 2024 to February 2025 combined with laboratory nucleic acid detection and genotyping.We reported 522 varicella cases with male predominance (282 cases, 54.41%) and a majority aged >15 years (358 cases, 68.58%).A bimodal incidence pattern peaked in May and November, while 161 breakthrough infections (30.8%) occurred predominantly among students aged 6-20 years.The multivariate logistic regression model analysis showed that, compared to the 0-5 years age group, individuals aged 6-14 years ( OR: 2.729, 95% CI: 1.083-6.88), 15-20 years ( OR: 2.495, 95% CI: 1.158-5.378), and>20 years ( OR: 5.382, 95% CI: 2.478-11.689) exhibited progressively higher odds of oderate-to-severe rash; females demonstrated a lower risk compared to males ( OR: 0.485, 95% CI: 0.286-0.822); regarding vaccination status, recipients of one vaccine dose ( OR: 0.301, 95% CI: 0.161-0.564) and two doses ( OR: 0.203, 95% CI: 0.086-0.48) showed significantly reduced risks relative to unvaccinated individuals. Genotyping of 174 specimens identified 161 VZV-positive samples, with successful ORF22/38/62 sequencing in 142 samples confirming Clade 2 predominance (141 strains, 99.3%) and one Clade 5 strain; local isolates exhibited high vaccine-strain homology (ORF22 nucleotide:99.5%-100%, amino acid:99.3%-100%) with mutation sites partially overlapping other Chinese regions.

Objective:To investigate the influencing factors of enlarged perivascular space (PVS) in relapsing-remitting multiple sclerosis (RRMS) patients and their relationship with cognitive function.Methods:Twenty-seven individuals with RRMS (RRMS group) and 27 healthy controls (healthy control group) who presented to the Department of Neurology, the Sixth Medical Center of People′s Liberation Army General Hospital from July 2022 to November 2024 underwent cognitive function assessments. PVS volume fractions, lesion volumes, and brain volumes were calculated using FreeSurfer, FSL, and other relevant softwares. Group differences in PVS volume fractions, lesion volumes, brain volumes, and cognitive function assessments were compared. Furthermore, correlations between PVS volume fractions and lesion volumes, brain volumes, and cognitive function assessments were analyzed within the RRMS group.Results:Compared with the healthy control group, the RRMS group exhibited significantly higher PVS volume fractions in white matter (PVS_w) (3.14‰±0.29‰ vs 2.91‰±0.30‰, t=2.877, P=0.006) and PVS volume fractions in deep gray matter (PVS_d) (2.25‰±0.10‰ vs 2.17‰±0.09‰, t=2.681, P=0.010), indicating an enlargement of the PVS. Compared with the healthy control group, the RRMS group showed a significant decrease in both white matter volumes [297.3 (274.3, 340.2) ml vs (324.2 (311.0, 350.0) ml, U=-2.085, P=0.037] and deep grey matter volumes [40.2 (34.9, 43.6) ml vs 42.7 (40.2, 44.8) ml, U=-2.292, P=0.022]. Compared with the healthy control group, the RRMS group showed significantly lower scores in cognitive function assessments ( P<0.05). Univariate analysis showed that PVS_w in the RRMS group was significantly positively correlated with age ( r=0.486), white matter lesion volumes ( r=0.437) and deep gray matter lesion volumes ( r=0.394;all P<0.05); PVS_d was also significantly positively correlated with white matter lesion volumes ( r=0.418) and deep gray matter lesion volumes ( r=0.480; both P<0.05). Multiple linear regression analysis showed that age ( B=0.011,95% CI 0.004-0.017), white matter lesion volumes ( B=0.026,95% CI 0.011-0.040) and deep gray matter lesion volumes ( B=0.401,95% CI 0.032-0.771) in the RRMS group were significantly positively correlated with PVS_w, while white matter lesion volumes ( B=0.007,95% CI 0.001-0.014) and deep gray matter lesion volumes ( B=0.204,95% CI 0.029-0.380) were significantly positively correlated with PVS_d (both P<0.05). Univariate analysis showed that immediate memory score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.428), and was significantly positively correlated with education level ( r=0.471), deep gray matter volumes ( r=0.530) and total brain volumes ( r=0.389; all P<0.05); short-term delayed memory score in the RRMS group was significantly negatively correlated with age ( r=-0.390), PVS_w ( r=-0.417) and white matter lesion volumes ( r=-0.438), and was significantly positively correlated with gender ( r=0.393), white matter volumes ( r=0.478), deep gray matter volumes ( r=0.579) and total brain volumes ( r=0.602;all P<0.05); verbal fluency test score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.409) and was significantly positively correlated with education level ( r=0.419) and total brain volumes ( r=0.400;all P<0.05). Multiple linear regression analysis revealed that PVS_d ( B=-5.572, 95% CI -11.513--0.368) and brain volumes ( B=0.012, 95% CI 0.001-0.023) in the RRMS group were both significant predictors of immediate recall score, while PVS_d ( B=-14.203,95% CI -27.514--0.891) was an independent predictor of verbal fluency test score (all P<0.05). Conclusions:The PVS is enlarged in individuals with RRMS compared with the healthy controls, and increased lesion volumes may be a significant predictor. Furthermore, enlarged PVS in the deep gray matter may be a significant predictor of impairment of verbal memory and verbal function in individuals with RRMS.

Chronic obstructive pulmonary disease(COPD),as a global health challenge,brings heavy economic and psychological burdens to patients and their families.Accurately identifying the risk factors for COPD and excluding false associations are crucial for understanding its pathogenesis and formulating prevention strategies.Mendelian randomization(MR),as a supplementary method,has shown great potential in reducing the interference of confounding factors,lowering the cost of experimental research,and avoiding experimental ethical issues.This article focuses on MR and its main derivative methods,discusses their basic principles and applicable conditions,and analyzes their application effects and limitations in COPD research in combination with specific cases,enabling MR to be more widely applied in the study of influencing factors of COPD.

Objective To explore the influencing factors of olfactory dysfunction in patients with Parkinson's disease(PD)and conduct a systematic review and Meta-analysis.Methods Articles on factors influencing olfactory dysfunction in PD were retrieved from databases including SinoMed,VIP,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,Web of Science,PubMed,Cochrane,Embase,and MEDLINE.The search period spanned from the inception of each database to November 30,2024.Results A total of 13 articles(with a total sample size of 2465)were included,with a total of 18 influencing factors summarized as two themes:core features and progression factors of PD,and individual background and environmental interaction factors.Meta-analysis showed that age(MD=1.01,95％CI:-0.46-2.49,P=0.18),smoking(OR=0.88,95％CI:0.57-1.37,P=0.57),and constipation(OR=1.22,95％CI:0.38-3.93,P=0.74)were not factors affecting olfactory dysfunction in PD patients.Conclusion Factors influencing olfactory dysfunction in PD are predominantly associated with non-motor symptoms.Intervention strategies targeting non-motor symptoms(such as improving sleep quality,vitamin D supplementation,and early cognitive training)may provide novel approaches for delaying the progression of olfactory dysfunction.

Chronic obstructive pulmonary disease(COPD),as a global health challenge,brings heavy economic and psychological burdens to patients and their families.Accurately identifying the risk factors for COPD and excluding false associations are crucial for understanding its pathogenesis and formulating prevention strategies.Mendelian randomization(MR),as a supplementary method,has shown great potential in reducing the interference of confounding factors,lowering the cost of experimental research,and avoiding experimental ethical issues.This article focuses on MR and its main derivative methods,discusses their basic principles and applicable conditions,and analyzes their application effects and limitations in COPD research in combination with specific cases,enabling MR to be more widely applied in the study of influencing factors of COPD.

This study analyzed the epidemiological characteristics and strain genotypic distribution of varicella in Fengtai District, Beijing, utilizing population-based surveillance data from March 2024 to February 2025 combined with laboratory nucleic acid detection and genotyping.We reported 522 varicella cases with male predominance (282 cases, 54.41%) and a majority aged >15 years (358 cases, 68.58%).A bimodal incidence pattern peaked in May and November, while 161 breakthrough infections (30.8%) occurred predominantly among students aged 6-20 years.The multivariate logistic regression model analysis showed that, compared to the 0-5 years age group, individuals aged 6-14 years ( OR: 2.729, 95% CI: 1.083-6.88), 15-20 years ( OR: 2.495, 95% CI: 1.158-5.378), and>20 years ( OR: 5.382, 95% CI: 2.478-11.689) exhibited progressively higher odds of oderate-to-severe rash; females demonstrated a lower risk compared to males ( OR: 0.485, 95% CI: 0.286-0.822); regarding vaccination status, recipients of one vaccine dose ( OR: 0.301, 95% CI: 0.161-0.564) and two doses ( OR: 0.203, 95% CI: 0.086-0.48) showed significantly reduced risks relative to unvaccinated individuals. Genotyping of 174 specimens identified 161 VZV-positive samples, with successful ORF22/38/62 sequencing in 142 samples confirming Clade 2 predominance (141 strains, 99.3%) and one Clade 5 strain; local isolates exhibited high vaccine-strain homology (ORF22 nucleotide:99.5%-100%, amino acid:99.3%-100%) with mutation sites partially overlapping other Chinese regions.

Objective To explore the influencing factors of olfactory dysfunction in patients with Parkinson's disease(PD)and conduct a systematic review and Meta-analysis.Methods Articles on factors influencing olfactory dysfunction in PD were retrieved from databases including SinoMed,VIP,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,Web of Science,PubMed,Cochrane,Embase,and MEDLINE.The search period spanned from the inception of each database to November 30,2024.Results A total of 13 articles(with a total sample size of 2465)were included,with a total of 18 influencing factors summarized as two themes:core features and progression factors of PD,and individual background and environmental interaction factors.Meta-analysis showed that age(MD=1.01,95％CI:-0.46-2.49,P=0.18),smoking(OR=0.88,95％CI:0.57-1.37,P=0.57),and constipation(OR=1.22,95％CI:0.38-3.93,P=0.74)were not factors affecting olfactory dysfunction in PD patients.Conclusion Factors influencing olfactory dysfunction in PD are predominantly associated with non-motor symptoms.Intervention strategies targeting non-motor symptoms(such as improving sleep quality,vitamin D supplementation,and early cognitive training)may provide novel approaches for delaying the progression of olfactory dysfunction.

Objective:To investigate the influencing factors of enlarged perivascular space (PVS) in relapsing-remitting multiple sclerosis (RRMS) patients and their relationship with cognitive function.Methods:Twenty-seven individuals with RRMS (RRMS group) and 27 healthy controls (healthy control group) who presented to the Department of Neurology, the Sixth Medical Center of People′s Liberation Army General Hospital from July 2022 to November 2024 underwent cognitive function assessments. PVS volume fractions, lesion volumes, and brain volumes were calculated using FreeSurfer, FSL, and other relevant softwares. Group differences in PVS volume fractions, lesion volumes, brain volumes, and cognitive function assessments were compared. Furthermore, correlations between PVS volume fractions and lesion volumes, brain volumes, and cognitive function assessments were analyzed within the RRMS group.Results:Compared with the healthy control group, the RRMS group exhibited significantly higher PVS volume fractions in white matter (PVS_w) (3.14‰±0.29‰ vs 2.91‰±0.30‰, t=2.877, P=0.006) and PVS volume fractions in deep gray matter (PVS_d) (2.25‰±0.10‰ vs 2.17‰±0.09‰, t=2.681, P=0.010), indicating an enlargement of the PVS. Compared with the healthy control group, the RRMS group showed a significant decrease in both white matter volumes [297.3 (274.3, 340.2) ml vs (324.2 (311.0, 350.0) ml, U=-2.085, P=0.037] and deep grey matter volumes [40.2 (34.9, 43.6) ml vs 42.7 (40.2, 44.8) ml, U=-2.292, P=0.022]. Compared with the healthy control group, the RRMS group showed significantly lower scores in cognitive function assessments ( P<0.05). Univariate analysis showed that PVS_w in the RRMS group was significantly positively correlated with age ( r=0.486), white matter lesion volumes ( r=0.437) and deep gray matter lesion volumes ( r=0.394;all P<0.05); PVS_d was also significantly positively correlated with white matter lesion volumes ( r=0.418) and deep gray matter lesion volumes ( r=0.480; both P<0.05). Multiple linear regression analysis showed that age ( B=0.011,95% CI 0.004-0.017), white matter lesion volumes ( B=0.026,95% CI 0.011-0.040) and deep gray matter lesion volumes ( B=0.401,95% CI 0.032-0.771) in the RRMS group were significantly positively correlated with PVS_w, while white matter lesion volumes ( B=0.007,95% CI 0.001-0.014) and deep gray matter lesion volumes ( B=0.204,95% CI 0.029-0.380) were significantly positively correlated with PVS_d (both P<0.05). Univariate analysis showed that immediate memory score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.428), and was significantly positively correlated with education level ( r=0.471), deep gray matter volumes ( r=0.530) and total brain volumes ( r=0.389; all P<0.05); short-term delayed memory score in the RRMS group was significantly negatively correlated with age ( r=-0.390), PVS_w ( r=-0.417) and white matter lesion volumes ( r=-0.438), and was significantly positively correlated with gender ( r=0.393), white matter volumes ( r=0.478), deep gray matter volumes ( r=0.579) and total brain volumes ( r=0.602;all P<0.05); verbal fluency test score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.409) and was significantly positively correlated with education level ( r=0.419) and total brain volumes ( r=0.400;all P<0.05). Multiple linear regression analysis revealed that PVS_d ( B=-5.572, 95% CI -11.513--0.368) and brain volumes ( B=0.012, 95% CI 0.001-0.023) in the RRMS group were both significant predictors of immediate recall score, while PVS_d ( B=-14.203,95% CI -27.514--0.891) was an independent predictor of verbal fluency test score (all P<0.05). Conclusions:The PVS is enlarged in individuals with RRMS compared with the healthy controls, and increased lesion volumes may be a significant predictor. Furthermore, enlarged PVS in the deep gray matter may be a significant predictor of impairment of verbal memory and verbal function in individuals with RRMS.

Objective: To examine the association between sleep and frailty using the bidirectional two-sample Mendelian randomization (MR) approach, so as to provide the basis for the prevention and intervention of frailty. Methods: The data on single nucleotide polymorphisms (SNP) related to sleep duration, insomnia and morning chronotype were collected from genome-wide association studies (GWAS) and meta-analysis of GWAS, involving 446 118, 1 331 010 and 697 828 participants, respectively. The frailty was evaluated using the frailty index, and the relevant SNP data were collected from a meta-analysis of GWAS involving 175 226 participants. A bidirectional MR analysis was performed using the inverse-variance weighted method. Sensitivity analyses employed the weighted median method, the maximum likelihood-based method, the MR-Egger regression, and the MR-PRESSO test. Results: Forward MR analysis showed that longer sleep duration (β=-0.170, 95%CI: -0.255 to -0.085) and morning chronotype (β=-0.036, 95%CI: -0.058 to -0.014) decreased the risk of frailty, while insomnia increased the risk of frailty (β=0.167, 95%CI: 0.149-0.184). Reverse MR analysis showed that frailty increased the risk of insomnia (OR=1.645, 95%CI: 1.278-2.117). Both bidirectional MR results were robust, which excluded the impact of heterogeneity and horizontal pleiotropy. Conclusion Sleep duration, insomnia, and morning chronotype are associated with frailty.