Objective To investigate the exposure-response relationships and lag effects between air pollutants (PM_2.5, PM₁₀, O₃, and NO₂) and mortality in Jiading District, Shanghai, and to provide a scientific basis for the formulation of environmental health policies. Methods Using an individual-level time-stratified case-crossover design, conditional logistic regression models in conjunction with a distributed lag nonlinear model (DLNM) were employed to analyze the exposure-response relationship and temporal lag patterns of ambient air pollution on resident mortality in Jiading District (1994–2024). Results A total of 59 048 death cases were collected, including 18,701 deaths from cardiovascular diseases and 11 731 deaths from respiratory diseases. PM_2.5 and NO₂ had a significant impact on all-cause mortality, cardiovascular disease mortality, and respiratory disease mortality, with the most significant effects observed within a lag of 0–3 days. PM₁₀ also had some impact on these three types of mortality, but its effect was generally weaker than that of PM_2.5 and NO₂. The exposure-response curves showed that the risk of death increased rapidly with increasing concentrations of PM_2.5 and PM₁₀, while the effect of NO₂ plateaued at higher levels. No significant differences were found across age or gender subgroups. Conclusion Short-term exposure to PM_2.5, PM₁₀, and NO₂ significantly increases all-cause mortality risk in Jiading District, with effects persisting up to 7 days, highlighting the need for enhanced air pollution control measures, particularly targeting fine particulate matter.

Objective: To analyze the current burden of autism spectrum disorder (ASD) among children and adolescents in China and globally, and to predict the disease burden from 2024 to 2035, providing a scientific basis for formulating relevant public health policies and intervention measures. Methods: Based on the Global Burden of Disease (GBD) database in 2023, the Joinpoint regression model was used to analyze the changing trends of the disease burden of ASD among children and adolescents in China and globally from 1990 to 2023, and the average annual percent change (AAPC) was calculated. An autoregressive integrated moving average (ARIMA) model was constructed to predict the disease burden trends of ASD among children and adolescents in China and globally from 2024 to 2035. Results: The prevalence and disability adjusted life years (DALYs) rate of ASD among children and adolescents in China increased from 452.69/100 000 and 86.67/100 000 in 1990 to 762.84/100 000 and 148.52/ 100 000 in 2023(AAPC=1.60%, 1.65%, both P <0.01). The prevalence and DALYs rate of ASD among children and adolescents globally increased from 648.49/100 000 and 123.47/100 000 to 862.44/100 000 and 167.16/100 000(AAPC=0.87%, 0.93%, both P <0.01). In 2023, the highest ASD prevalence and DALY rates occurred in children under 5 years old, with China reporting 848.14/100 000 and 166.69/100 000, both below the global averages of 928.80/100 000 and 181.34/100 000. Projections indicated that by 2035, the ASD prevalence and DALY rates in China would rise to 906.83/100 000 and 168.71/100 000, still below the global averages of 938.04/100 000 and 184.49/100 000. Conclusion The disease burden of ASD among children and adolescents in China and globally has generally increased from 1990 to 2023, with a higher risk of disease at younger ages.

Objective: To investigate the characteristics and potential risk factors associated with HIV infection among newly reported HIV positive male student cases in Jiangsu Province from 2023 to 2024, so as to provide evidence for targeted intervention strategies. Methods: Data were obtained from the China CDC Surveillance System on newly reported HIV positive male student cases from 2023 to 2024. A survey was conducted to collect information on demographic characteristics, knowledge of AIDS prevention, education and training history, HIV testing history, behavioral and substance use patterns, and other relevant factors prior to HIV diagnosis among 343 newly reported HIV positive male student cases in Jiangsu Province. Multivariate Logistic regression analysis was used to assess the risk factors of HIV infection among male students. Results: Among the HIV positive male student cases, homosexual behavior accounted for 93.88% of transmission routes, while 10.20% involved heterosexual contact, as well as 4.08% for two sexual hehaviors. Awareness of HIV prevention knowledge was 97.08%, and 66.76% had previously undergone HIV testing. Among the respondents, 10.50% had used rush poppers as enhancers, and 72.30% had received HIV prevention education within the past year. Among students cases with homosexual behavior, the median time from first homosexual contact to HIV diagnosis was ≤2 years, with 54.66% of cases falling into this category; the most common way of finding same sex partners was through social software, accounting for 88.20% of cases, while the proportion of those via "Blued" app reached 87.07% ; the proportion of using condoms every time during sexual activity in the past six months was 12.27%. Among the student cases with homosexual behavior, the results of multiple Logistic regression analysis showed that student cases aged 18 to 24 ( OR =4.52) and >24 ( OR = 19.23 ), without receiving education on HIV prevention in the past year ( OR =1.86), having consistent condom use ( OR =2.73) and not using condoms ( OR =2.12) during the last sexual activity were more likely to had the first same sex sexual activity for more than 3 years before being diagnosed as HIV positive cases (all P <0.05). Student cases who were uncertain about their partner s sexual identity ( OR =0.33), and who primarily identified same sex partners through "other" means ( OR = 0.23 ) were more likely to avoid HIV testing; in contrast, student cases with consistent condom use during the last homosexual encounter ( OR =7.20) was significantly associated with increased likelihood of HIV testing (all P <0.05). Conclusions Newly reported HIV positive male student cases in Jiangsu Province exhibit serious discrepancies between knowledge and practice regarding HIV prevention. Measures are needed to accelerate the optimization of campus based HIV prevention education content and delivery methods. Simultaneously, enhanced management of extracurricular male populations is essential to effectively control the spread of HIV.

Objective To analyze the difference of psoas major muscle morphology and pain degree in patients with different types of lumbar disc herniation ( LDH ) by quantitative CT, and to further explore the relationship between psoas major muscle morphology and pain degree. Methods A total of 120 patients with LDH admitted to our hospital from January to December 2025 were enrolled as study subjects. Based on clinical symptoms and lesion location, they were divided into a simple lower extremity pain group and a lumbar and leg pain group. All patients underwent lumbar CT examination. The psoas major muscle index was used as a CT quantitative parameter, which was calculated as the mean of the maximum cross-sectional areas of both psoas major muscles divided by the cross-sectional area of the L5 vertebral body. This index was measured to reflect psoas major muscle morphology. Pain severity was assessed using the visual analogue scale (VAS). Differences in psoas major muscle morphology and pain severity between the two groups were compared. A Pearson correlation analysis was used to examine the relationship between the psoas major muscle index and pain severity. A linear regression model was used to analyze the independent risk factors affecting pain severity. Results There were no statistically significant differences in sex, age, or body mass index between the two groups (P>0.05). The disease duration was longer and the incidence of anxiety and depression was higher in the lumbar and leg pain group than those in the simple lower extremity pain group (P<0.05). Compared with the simple lower extremity pain group, the lumbar and leg pain group showed lower psoas major muscle index [(0.53 ± 0.05) vs. (0.61 ± 0.07)] and higher VAS score [(4.67 ± 1.10) vs. (3.02 ± 0.89)], and the differences were statistically significant (P<0.05). Pearson correlation analysis revealed a negative correlation between the psoas major muscle index and the VAS score (r=−0.288, P<0.05). Linear regression model analysis indicated that the independent risk factors affecting the VAS score were age, disease duration, LDH type, and the psoas major muscle index. Conclusion Compared with LDH patients with simple lower extremity pain, those with lumbar and leg pain demonstrate a longer disease duration, a higher incidence of anxiety and depression, and a higher severity of psoas major muscle atrophy and pain. The severity of pain is associated with not only advanced age and prolonged disease duration but also the LDH type and psoas major muscle atrophy.

BackgroundPain is one of the most common physical symptoms in patients with major depressive disorder （MDD）. The high comorbidity rate of MDD and pain aggravates patients' physical and psychological distress， undermines their treatment adherence， and contributes to poor clinical outcomes， posing a critical challenge for the clinical management of MDD. Anxiety symptoms are strongly associated with the pain severity in patients with MDD， yet the underlying mechanisms of the association remain poorly elucidated. Accumulating evidence have indicated that depressive symptoms and pain vigilance and awareness are involved in the modulation of pain perception. Nevertheless， few studies have incorporated these variables into an integrated analytical framework to clarify their parallel mediating effects on the relationship between anxiety symptoms and pain severity. ObjectiveTo explore the mediating pathways linking anxiety symptoms to pain severity via depressive symptoms and pain vigilance and awareness in patients with MDD， so as to provide insights for precise intervention for MDD accompanied by pain symptoms. MethodsA total of 249 patients who met the diagnostic criteria for MDD specified in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from Beijing Huilongguan Hospital from May to September 2025. Hamilton Depression Scale-17 item （HAMD-17）， Hamilton Anxiety Scale （HAMA）， Pain Vigilance and Awareness Questionnaire （PVAQ） and Numerical Rating Scale （NRS） were used for assessment. Partial correlation analyses were performed to examine correlations among these variables. Parallel mediating effects were tested using model 4 of the Process macro for SPSS， with depressive symptoms and pain vigilance and awareness as parallel mediators linking anxiety symptoms to pain severity. ResultsA total of 135 patients （54.22%） reported pain， comprising 59 （43.70%） with mild pain， 43 （31.85%） with moderate pain， and 33 （24.45%） with severe pain. Partial correlation analyses revealed significant positive correlations among HAMD-17， HAMA， PVAQ， and NRS scores in patients with MDD （r=0.198–0.424， P<0.05 or 0.01）. Anxiety symptoms positively predicted pain severity， with a direct effect of 0.128 （95% CI： 0.065–0.190）. Both depressive symptoms and pain vigilance and awareness acted as partial mediators linking anxiety symptoms to pain severity. The indirect effects were 0.057 （95% CI： 0.029–0.089） and 0.042 （95% CI： 0.016–0.079）， accounting for 25.22% and 18.58% of the total effect， respectively. ConclusionIn patients with MDD， anxiety symptoms exert a positive predictive effect on pain severity， which is partially mediated through the parallel roles of depressive symptoms and pain vigilance and awareness.

Objective To analyze the difference of psoas major muscle morphology and pain degree in patients with different types of lumbar disc herniation ( LDH ) by quantitative CT, and to further explore the relationship between psoas major muscle morphology and pain degree. Methods A total of 120 patients with LDH admitted to our hospital from January to December 2025 were enrolled as study subjects. Based on clinical symptoms and lesion location, they were divided into a simple lower extremity pain group and a lumbar and leg pain group. All patients underwent lumbar CT examination. The psoas major muscle index was used as a CT quantitative parameter, which was calculated as the mean of the maximum cross-sectional areas of both psoas major muscles divided by the cross-sectional area of the L5 vertebral body. This index was measured to reflect psoas major muscle morphology. Pain severity was assessed using the visual analogue scale (VAS). Differences in psoas major muscle morphology and pain severity between the two groups were compared. A Pearson correlation analysis was used to examine the relationship between the psoas major muscle index and pain severity. A linear regression model was used to analyze the independent risk factors affecting pain severity. Results There were no statistically significant differences in sex, age, or body mass index between the two groups (P>0.05). The disease duration was longer and the incidence of anxiety and depression was higher in the lumbar and leg pain group than those in the simple lower extremity pain group (P<0.05). Compared with the simple lower extremity pain group, the lumbar and leg pain group showed lower psoas major muscle index [(0.53 ± 0.05) vs. (0.61 ± 0.07)] and higher VAS score [(4.67 ± 1.10) vs. (3.02 ± 0.89)], and the differences were statistically significant (P<0.05). Pearson correlation analysis revealed a negative correlation between the psoas major muscle index and the VAS score (r=−0.288, P<0.05). Linear regression model analysis indicated that the independent risk factors affecting the VAS score were age, disease duration, LDH type, and the psoas major muscle index. Conclusion Compared with LDH patients with simple lower extremity pain, those with lumbar and leg pain demonstrate a longer disease duration, a higher incidence of anxiety and depression, and a higher severity of psoas major muscle atrophy and pain. The severity of pain is associated with not only advanced age and prolonged disease duration but also the LDH type and psoas major muscle atrophy.

Objective To analyze the difference of psoas major muscle morphology and pain degree in patients with different types of lumbar disc herniation ( LDH ) by quantitative CT, and to further explore the relationship between psoas major muscle morphology and pain degree. Methods A total of 120 patients with LDH admitted to our hospital from January to December 2025 were enrolled as study subjects. Based on clinical symptoms and lesion location, they were divided into a simple lower extremity pain group and a lumbar and leg pain group. All patients underwent lumbar CT examination. The psoas major muscle index was used as a CT quantitative parameter, which was calculated as the mean of the maximum cross-sectional areas of both psoas major muscles divided by the cross-sectional area of the L5 vertebral body. This index was measured to reflect psoas major muscle morphology. Pain severity was assessed using the visual analogue scale (VAS). Differences in psoas major muscle morphology and pain severity between the two groups were compared. A Pearson correlation analysis was used to examine the relationship between the psoas major muscle index and pain severity. A linear regression model was used to analyze the independent risk factors affecting pain severity. Results There were no statistically significant differences in sex, age, or body mass index between the two groups (P>0.05). The disease duration was longer and the incidence of anxiety and depression was higher in the lumbar and leg pain group than those in the simple lower extremity pain group (P<0.05). Compared with the simple lower extremity pain group, the lumbar and leg pain group showed lower psoas major muscle index [(0.53 ± 0.05) vs. (0.61 ± 0.07)] and higher VAS score [(4.67 ± 1.10) vs. (3.02 ± 0.89)], and the differences were statistically significant (P<0.05). Pearson correlation analysis revealed a negative correlation between the psoas major muscle index and the VAS score (r=−0.288, P<0.05). Linear regression model analysis indicated that the independent risk factors affecting the VAS score were age, disease duration, LDH type, and the psoas major muscle index. Conclusion Compared with LDH patients with simple lower extremity pain, those with lumbar and leg pain demonstrate a longer disease duration, a higher incidence of anxiety and depression, and a higher severity of psoas major muscle atrophy and pain. The severity of pain is associated with not only advanced age and prolonged disease duration but also the LDH type and psoas major muscle atrophy.

Objective To establish an animal model of hand,foot,and mouth disease(HFMD)in Syrian hamsters coinfected with coxsackievirus A6(CVA6)and coxsackievirus B1(CVB1).Methods 42 Syrian hamsters were divided into a CVA6 infection group,CVB1 infection group,CVA6 and CVB1 coinfection group and control group.A HFMD model was established by nasal instillation of virus solution and phosphate-buffered saline.Clinical and physiological indicators and detoxification status were monitored and recorded for 15 d,and animals were selected on day 7(D7)after infection for histopathology and viral antigen and nucleic acid testing.Results Hamsters in the single-infection and coinfection groups showed clinical symptoms similar to human HFMD.White blood cell,neutrophil,and lymphocyte result were characteristic of viral infection.Both viral nucleic acids were detected in throat swabs,feces,blood,and tissues and both viruses were isolated from fecal samples.Pathological damage and positive co-localization of CVA6 and CVB1 viral antigen proteins and nucleic acids were found in brain and other tissues.Conclusions Nasal instillation of a CVA6 and CVB1 mixture can successfully coinfect Syrian hamsters,replicate herpes infection similar to human HFMD,and cause pathological viral myocarditis and encephalitis damage.The result showed that the coinfection group was more seriously affected than the single-infection group,with worse clinical symptoms,increased viral replication,and obvious tissue pathological damage.This study provides a reference for further basic and clinical research into human enterovirus coinfection.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective To explore the effects of sialic acid intervention during pregnancy and the lactational period on the intestinal function of autism model rats.Methods Thirty SPF-grade adult male and female Wistar rats were mated.The successfully pregnant rats were randomly assigned to a valproate-induced model(VPA)group,a high-dose sialic acid(SAH)group,a medium-dose sialic acid(SAM)group,a low-dose sialic acid(SAL)group,and a control(CON)group(n=6 per group)and were housed individually in single cages.On the 12.5th day of pregnancy(E12.5),rats in the VPA and SA intervention groups were given a single intraperitoneal injection of 600 mg/kg sodium valproate(VPA),while the pregnant rats in the CON group were given an equal amount of normal saline.The SA intervention period was from E12.5 to the 21st day after parturition.Feces of offspring rats in each group were collected.The diversity and structure of the gut microbiota were detected by 16S rRNA sequencing.The intestinal transit speed in each group was detected by intragastric administration of carmine.The levels of intestinal-related neurotransmitters(substance P,enkephalin,5-hydroxytryptamine,vasoactive intestinal peptide,and glutamate,gamma-aminobutyric acid)in the blood of rats in each group were detected by ELISA.Results High-dose SA intervention did not affect the diversity of the gut microbiota in the VPA-induced autism model rats,but it changed the structure of the gut microbiota and increased the abundance levels of Prevotella_NK3B31 group,Prevotella,Prevotella spp.,Alloprevotella,Lachnospira,Ruminococcus,and Bacteroides(P＜0.05).High-dose SA also promoted the intestinal transit speed,and increased the levels of vasoactive intestinal peptide,5-hydroxytryptamine,and gamma-aminobutyric acid in serum.Conclusions SA intervention during pregnancy and the lactational period affects the intestinal transit speed of VPA-induced autism model rats,changes the structure of the gut microbiome,and increases the levels of vasoactive intestinal peptide,5-hydroxytryptamine,and gamma-aminobutyric acid.