Objective: To investigate the characteristics of psychological symptoms and the associated factors among students with close contact to tuberculosis in school settings,so as to provide evidence for school tuberculosis control and mental health interventions. Methods: A cross sectional study was conducted in April 2023 from 4 schools in Hangzhou using a multistage cluster random sampling method. Students identified as close contacts of tuberculosis cases ( n =406) were assigned to the exposure group, while non close contact students ( n =426) were matched at a 1∶1 ratio within the same schools as the non exposure group. A questionnaire survey was employed to collect data on general demographic and family sociological information. Psychological symptoms were assessed using the Symptom Check List-90 (SCL-90). A global severity index (GSI) score ≥2.0 was defined as moderate to severe psychological symptoms (MSPS). Logistic regression analysis was performed to identify associated factors. Results: The overall MSPS detection rate was 15.38%. The detection rate in the exposure group (20.69%) was significantly higher than the non exposure group (10.33%)( χ 2=17.14, P <0.05). Multivariate Logistic regression analysis showed that middle or lower family economic status ( OR =1.90, 95% CI =1.10-3.28) and poor interaction with others ( OR =2.95, 95% CI =1.79-4.88) were independent factors associated with MSPS among the exposure group (both P <0.05). Conclusions Students who are close contacts of school tuberculosis cases have a relatively high MSPS detection rate. Poor family economic status and poor interaction with social personnel are the main factors influencing MSPS. Schools should simultaneously strengthen psychological health support targeting factors in tuberculosis prevention and control.

Objective: To investigate the urban and rural differences in adverse outcomes of pulmonary tuberculosis (PTB) in patients with pulmonary tuberculosis-diabetes mellitus comorbidity (PTB-DM), so as to provide insights into improving the prevention and treatment measures for PTB-DM. Methods: Patients with PTB-DM who were admitted and discharged from 14 designated tuberculosis hospitals in Hangzhou City from 2018 to 2022 were selected. Basic information, and history of diagnosis and treatment were collected through hospital information systems. The adverse outcomes of PTB were defined as endpoints, and the proportions of adverse outcomes of PTB in urban and rural patients with PTB-DM were analyzed. Factors affecting the adverse outcomes of PTB were identified using a multivariable Cox proportional hazards regression model. Results: A total of 823 patients with PTB-DM were enrolled, including 354 (43.01%) urban and 469 (56.99%) rural patients. There were 112 (13.61%) patients with adverse outcomes of PTB. The proportions of adverse outcomes of PTB in urban and rural patients were 14.41% and 13.01%, respectively, with no statistically significant difference (P>0.05). Multivariable Cox proportional hazards regression analysis identified first diagnosed in county-level hospitals or above (HR=2.107, 95%CI: 1.181-3.758) and drug resistance (HR=3.303, 95%CI: 1.653-6.600) as the risk factors for adverse outcomes of PTB in urban patients with PTB-DM, while the treatment/observed management throughout the process (HR=0.470, 95%CI: 0.274-0.803) and fixed-dose combinations throughout the process (HR=0.331, 95%CI: 0.151-0.729) as the protective factors for adverse outcomes in rural patients with PTB-DM. Conclusions There are differences in influencing factors for adverse outcomes of PTB in urban and rural patients with PTB-DM. The adverse outcomes of PTB are associated with first diagnosed hospitals and drug resistance in urban patients, and are associated with the treatment/observed management and fixed-dose combinations throughout the process in rural patients.

Objective:To compare the safety and accuracy between robotic-assisted screw placement and free-hand screw placement in adolescent idiopathic scoliosis (AIS) surgery.Methods:The clinical data of 69 AIS patients underwent posterior spinal scoliosis orthomorphia from December 2021 to October 2023 in Beijing Chaoyang Hospital, Capital Medical University were retrospectively analyzed. Among them, 37 patients underwent robot-assisted screw placement (robot group), and 32 patients underwent fluoroscopy-assisted free-hand screw placement (free-hand group). The basic information of surgery (operation time, intraoperative blood loss, intraoperative radiation exposure time, postoperative hospital stay and postoperative complications), screw placement indexes (single screw placement time and accuracy of screw placement) and imaging indexes (main curve correction rate, kyphotic change and lumbar lordosis change) were compared between two groups. The ln curve regression analysis method was used to evaluate the learning curve of robot-assisted screw placement therapy for AIS.Results:A total of 716 screws were placed in 32 patients of free-hand group, and 766 screws in 37 patients of robot group. The operation time, intraoperative radiation exposure time, single screw placement time and accuracy of screw placement in robot group were significantly higher than those in free-hand group: (272.30 ± 67.98) min vs. (221.66 ± 67.32) min, (149.81 ± 57.21) s vs. (116.03 ± 63.10) s, (497.97 ± 51.74) s vs. (381.47 ± 46.58) s and 97.91% (750/766) vs. 91.48% (655/716), and there were statistical differences ( P<0.01 or <0.05); there were no statistical differences in intraoperative blood loss, postoperative hospital stay, incidence of neurological complications, incidence of incision infection and number of screw between two groups ( P>0.05). There were no statistical differences in the main curve correction rate, kyphotic change and lumbar lordosis change between two groups ( P>0.05). When the fitting degree was the highest ( R2 = 0.729, P<0.01), the fitting equation was y = - 50.93ln x + 634.7 ( x was the number of operation, and y was the single screw placement time), and the number of vertices was 12 cases. The robot group was divided into three subgroups according to the order of surgery, subgroup A consisted of 12 patients who underwent the surgery from first to twelfth, subgroup B consisted of 12 patients who underwent the surgery from thirteenth to twenty-fourth, and subgroup C consisted of 13 patients who underwent the surgery from twenty-fifth to thirty-seventh. Among them, the single screw placement time in subgroup A was significantly longer than that in subgroup B and subgroup C: (560.92 ± 35.03) s vs. (465.75 ± 21.20) and (469.62 ± 24.94) s, and there was statistical difference ( P<0.05); there was no statistical difference between subgroup B and subgroup C ( P>0.05). Conclusions:Robot-assisted screw placement for AIS can effectively improve the accuracy of screw placement without affecting deformity correction, but it can increase screw placement time, operation time and radiation exposure time. A smooth learning curve is obtained after performing 12 procedures.

Objective:To investigate the prevalence and determinants of dry eye syndrome among civil aviation flight attendants.Methods:Data from 1 201 civil aviation flight attendants across 6 airlines, along with their eye examination and general health records from the previous year, were collected and analyzed between January and March 2024. A self-designed questionnaire was designed to assess risk factors to dry eye syndrome. The severity of dry eye syndrome of these civil aviation flight attendants was assessed using the Ocular Surface Disease Index (OSDI) scale before they were grouped based on OSDI scores. The Fatigue Assessment Scale and Pittsburgh Sleep Quality Index were used to evaluate levels of fatigue and sleep quality. Multivariable Logistic regression was employed to identify factors associated with the severity of dry eye syndrome.Results:A total of 1 201 flight attendants were enrolled in this study. Questionnaires were distributed to all the participants, and 1 021 valid responses were collected, yielding a response rate of 85.0%. All flight attendants experienced dry eye syndrome. Among these cases, 657 cases were classified as moderate and 364 as severe. Logistic regression analysis showed that flying hours in the previous year ( OR=1.001, 95% CI: 1.001-1.002), a history of eyelid disease ( OR=2.059, 95% CI: 1.311-3.232), fatigue ( OR=2.438, 95% CI: 1.633-3.640), use of preservative-containing eye drops ( OR=3.034, 95% CI: 1.800-5.113), use of artificial tears ( OR=2.431, 95% CI: 1.544-3.827), use of contact lenses ( OR=2.095, 95% CI: 1.381-3.179), refractive progression of <-0.50 D ( OR=3.102, 95% CI: 1.955-4.920) and -0.50 to <-1.00 D ( OR=3.846, 95% CI: 1.845-8.018), sleep scale scores of 6-10 ( OR=1.940, 95% CI: 1.258-2.993), 11-15 ( OR=2.730, 95% CI: 1.564-4.768), and 16-21 ( OR=6.010, 95% CI: 1.752-20.614) were determinants of the severity of dry eye syndrome. Conclusions:Dry eye symptoms are generally severe among civil aviation flight attendants. Priority should be given to monitoring sleep quality and fatigue levels, with particular emphasis on individuals exceeding 713 flying hours in the previous year for early detection of dry eye syndrome.

N7-methylguanosine(m7G)modification occurs at the 5'cap of mRNA in eukaryotes,and is also found at specific sites on tRNA and rRNA,showing wide conservation across various biological organisms.Aberrant m7G modification is involved in the dysregulation of gene expression and serves as a biomarker for multiple cancers,with significant potential for applications in tumor diagnosis and therapy.This review summarizes the biological functions and regulatory mechanisms of m7G modification,and outlines its potential clinical applications.It also highlights the oncogenic roles of aberrant m7G modification and its association with prognosis,providing a detailed discussion of the role and molecular mechanisms of abnormal m7G modification in regulating drug resistance in various cancers.

N7-methylguanosine(m7G)modification occurs at the 5'cap of mRNA in eukaryotes,and is also found at specific sites on tRNA and rRNA,showing wide conservation across various biological organisms.Aberrant m7G modification is involved in the dysregulation of gene expression and serves as a biomarker for multiple cancers,with significant potential for applications in tumor diagnosis and therapy.This review summarizes the biological functions and regulatory mechanisms of m7G modification,and outlines its potential clinical applications.It also highlights the oncogenic roles of aberrant m7G modification and its association with prognosis,providing a detailed discussion of the role and molecular mechanisms of abnormal m7G modification in regulating drug resistance in various cancers.

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 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.

Renal cancer is a common and increasingly prevalent malignancy with a complex pathogenesis influenced by genetics,smoking,and obesity.Current treatment mainly involves surgery with adjunctive chemotherapy,radiation,and immunotherapy,but high rates of recurrence and metastasis indicate its limited effectiveness,emphasizing the need for better therapeutic targets.Growing evidence indicates that epigenetic modifications,particularly RNA modifications,play a critical role in renal cancer development and progression.This review highlights recent advances in renal cancer epigenetics,focusing on RNA modifications such as N6-methyladenosine(m6 A),N7-methylguanosine(m7G),5-methylcytosine(m5C),N1-methyladenosine(m1A),adenosine-to-inosine(A-to-I),N6,2'-O-dimethyladenosine(m6Am),and N4-acetylcytidine(ac4C),along with their regulatory factors.It also explores the diagnostic and therapeutic potential of targeting RNA modifications and associated proteins.