ObjectiveTo analyze the evolutionary characteristics and genetic variations of the HA (hemagglutinin) and NA (neuraminidase) genes of influenza A(H1N1) viruses in Shanghai during 2024, to investigate their transmission patterns, and to evaluate their potential impact on vaccine effectiveness. MethodsFrom January to October 2024, throat swab specimens were collected from influenza like illness (ILI) patients at 4 hospitals in Shanghai. Real-time fluorescence ploymerase chain reaction (RT-PCR) was used for virus detection and isolation of H1N1 influenza viruses. Forty influenza A(H1N1) virus strains were sequenced using Illumina NovaSeq 6000 platform, followed by phylogenetic analyses, genetic distance analysis, and amino acid variation analyses of HA and NA genes. ResultsPhylogenetic tree of the HA and NA genes revealed that the 40 influenza A(H1N1) virus strains circulating in Shanghai in 2024 exhibited no significant geographic clustering, with a broad origin of strains and complex transmission chains. Genetic distance analyses demonstrated that the average intra-group genetic distances of HA and NA genes among the Shanghai strains were 0.005 1±0.000 6 and 0.004 6±0.000 6, respectively, which were comparable to or higher than those observed in global surveillance strains. Both HA and NA genes displayed frequent mutations. Compared to the 2023‒2024 and 2024‒2025 Northern Hemisphere A(H1N1) vaccine strains (WHO-recommended), the HA proteins of 40 Shanghai strains exhibited amino acid substitutions at positions 120, 137, 142, 169, 216, 223, 260, 277, 356 and 451, with critical mutations at positions 137 and 142 located within the Ca2 antigenic determinant. Furthermore, mutations in the NA protein were observed at positions 13, 50, 200, 257, 264, 339 and 382. ConclusionThe genetic background of the 2024 Shanghai influenza A(H1N1) virus strains is complex and diverse, and antigenic variation may affect vaccine effectiveness. Therefore, it is recommended to enhance genomic surveillance of influenza viruses, evaluate vaccine suitability, and implement more targeted prevention and control strategies against imported influenza viruses.

Objective: To investigate the sleep quality in patients with burning mouth syndrome (BMS) and its influencing factors, providing a basis for developing sleep intervention measures to reduce the impact of BMS symptoms. Methods: This study was reviewed and approved by the Medical Ethics Committee, and informed consent was obtained from patients. A total of 150 patients with BMS and 150 healthy volunteers were enrolled as subjects in this study. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of patients with BMS. Visual analog scale (VAS) was used to assess the degree of oral mucosal pain, generalized anxiety disorder 7-item scale (GAD-7) was used to assess the frequency of anxiety symptoms, and the patient health questionnaire depression questionnaire (PHQ-9) was used to assess the frequency of depression symptoms. Univariate analysis was performed to identify potential influencing factors affecting sleep quality in patients with BMS, and multiple linear regression analysis was employed to determine independent risk factors. Results: The PSQI score for patients with BMS was 7.61 ± 4.29, which was significantly higher than that of healthy controls (P = 0.016). In the PSQI subscale analysis, patients with BMS exhibited increased sleep latency, decreased sleep duration, and lower sleep efficiency compared to healthy controls (P<0.05). Patients with BMS and comorbid sleep difficulties had significantly higher scores on GAD-7 and PHQ-9 compared to the patients with BMS without sleep difficulties (P<0.001), but there was no significant difference in pain VAS scores between the two (P = 0.068). Multiple linear regression analysis revealed that longer disease duration (>6 months), the presence of systemic concomitant symptoms (such as headache and mental stress), and higher depression scores were identified as independent risk factors affecting sleep quality in patients with BMS. Conclusion For patients with BMS, long course of illness, presence of headaches, high mental stress, and depressive symptoms may be independent factors affecting their sleep quality.

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.

Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.

Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.

Objective:To explore the efficacy and safety of cryopreservation-free integrated autologous hematopoietic stem cell transplantation (HSCT) model for patients with multiple myeloma.Methods:A total of 96 patients with newly diagnosed multiple myeloma (NDMM) between July 31, 2020, and December 31, 2022, were retrospectively analyzed, of which 41 patients in the observation group received integrated non-cryopreserved transplantation mode. After hematopoietic stem cells were mobilized and collected, melphalan was started immediately for pre-transplant conditioning, and non-cryopreserved grafts from the medical blood transfusion refrigerator were directly injected intravenously into the patient within 24-48 h after the melphalan conditioning. The control group consisted of 55 patients who received traditional transplantation mode. After hematopoietic stem cells were collected, stem cell cryopreservation was performed in liquid nitrogen, and then the transplant plans were started at the right time. All patients received mobilization of autologous hematopoietic stem cells using the G-CSF combined with the plerixafor.Results:① A total of 34 patients (82.9% ) with VGPR plus CR in the observation group were significantly higher than 33 patients (60.0% ) in the control group ( P=0.016). ②Compared with the control group, the incidence of grade 1 oral mucosal inflammation was higher in the observation group ( P<0.001) ; however, the incidence of grades 2 and 3 oral mucosal inflammation was lower ( P=0.004, P=0.048), and neither group experienced grade 4 or above oral mucosal inflammation. The incidence of grade 1 diarrhea was higher in the observation group ( P=0.002), whereas the incidence of grade 3 diarrhea was lower ( P=0.007). No statistically significant difference was observed in the incidence of grade 4 diarrhea ( P=0.506), and neither group experienced grade 5 diarrhea. ③ The incidence of bacterial infection in the observation group was lower than that in the control group (34.1% vs 65.5%, P=0.002), whereas no statistically significant difference was observed in the incidence of fungal infection (29.3% vs 31.4%, P=0.863) and viral infection (4.88% vs 3.64%, P=0.831). ④No statistically significant difference was observed in the implantation time of granulocytes and platelets between the observation and control groups [10 (8-20) days vs 11 (8-17) days, P=0.501; 13 (10-21) days vs 15 (10-20) days, P=0.245]. ⑤ All patients did not receive lenalidomide treatment 100 days post-transplantation. At 30 days post-transplantation, the CTL, NK, and Th cell counts in the observation group were lower than those in the control group ( P<0.001, P=0.002, P=0.049), and the NKT cell counts were higher than those in the control group ( P=0.024). At 100 days post-transplantation, the CTL, NKT, and Th cell counts in the observation group were higher than those in the control group ( P=0.025, P=0.011, P=0.007), and no statistically significant difference in NK cell counts was observed between the two groups ( P=0.396). ⑥ The median follow-up was 18 (4-33) months. The overall 2-year survival rates of the observation and control groups post-transplantation were 91.5% and 78.2%, respectively ( P=0.337). The recurrence-free survival rates were 85.3% and 77.6%, respectively ( P=0.386), and the cumulative recurrence rates were 9.8% and 16.9%, respectively ( P=0.373) . Conclusion:In NDMM, the cryopreservation-free integrated autologous HSCT model can achieve similar therapeutic effects as traditional transplantation models, with lower rates of severe mucosal inflammation and infection compared with traditional transplantation models.

Objectives:To analyze the disease burden and changing trends of non-rheumatic valvular heart disease(NRVHD)from 1990 to 2019 in China. Methods:Based on the Global Burden of Disease 2019 database,we collected data related to NRVHD in China from 1990 to 2019,analyzed the crude incidence rate,crude prevalence rate,crude disability-adjusted life year(DALY),and age-scaled rate of NRVHD during this period,and analyzed the corresponding trends.The grey prediction model GM(1,1)was used to predict the disease burden of NRVHD in China from 2020 to 2029. Results:The crude incidence,crude prevalence,and crude DALY rates of NRVHD increased in China from 7.87/100 000,123.21/100 000,and 9.83/100 000 in 1990 to 22.85/100 000,374.16/100 000,and 11.95/100 000 in 2019;the age-standardized incidence rate and the age-standardized prevalence rate increased from 9.22/100 000 and 169.04/100 000 in 1990 to 15.30/100000 and 262.85/100 000 in 2019 respectively,with females being higher than males;the age-standardized DALY rate declined from 13.43/100 000 in 1990 to 9.07/100 000 in 2019,with females being higher than males.Joinpoint regression model analysis showed an increasing trend in the age-standardized incidence rate and age-standardized prevalence rate,and a decreasing trend in the age-standardized DALY rate(annual average percentage change[AAPC]values of 1.86%,1.72%and-1.66%,respectively),trend of change was statistically significant(all P<0.05).The burden of disease for all age groups from 1990 to 2019 showed an overall increasing trend,and the crude incidence rate,crude prevalence rate and crude DALY rate all increased with age,and the elderly group over 60 years old was the main group of disease burden.The results of the grey prediction model showed that by 2029,the age-standardized incidence rate and age-standardized prevalence rate would increase to 18.51/100 000 and 303.26/100 000,respectively,and the age-standardized DALY rate would decrease to 7.42/100 000. Conclusions:From 1990 to 2019,the age-standardized incidence rate and age-standardized prevalence rate of NRVHD in China showed an increasing trend,and the age-standardized DALY rate all showed a decreasing trend.The disease burden of NRVHD in China remains high.Women and the senior population are the main target groups needing special attention in China,and more targeted prevention and treatment strategies are needed for high-risk population.

Objective:To evaluate the efficacy of hematoporphyrin monomethyl ether-mediated photodynamic therapy (HMME-PDT) in the treatment of adult patients with port-wine stains (PWS) in China, and to analyze factors influencing the efficacy.Methods:A retrospective study was conducted on the data from 265 adult patients with PWS who underwent HMME-PDT at the Department of Dermatology, West China Hospital, Sichuan University from February 2017 to October 2023. Patients were intravenously injected with hemoporfin at doses of 5 - 6.5 mg/kg, followed by irradiation with a 532-nm green light-emitting diode at the energy density of 100 - 130 J/cm 2 (power density, 85 - 100 mW/cm 2) for 19 - 25 minutes. Treatments were conducted every 2 - 6 months. The treatment response in the treated area was observed after each treatment, and the clinical efficacy was assessed at least two months after the last treatment. Chi-square test was used to analyze the differences in efficacy between groups. Results:Among the 265 adult patients with PWS, the male to female ratio was 90∶175, the patients' age ranged from 18 to 56 years (26.48 ± 6.88 years), and they underwent 1 to 8 treatment sessions (2.67 ± 1.33 sessions). After treatment, 102 (38.4%) patients achieved complete remission, 74 (27.9%) achieved marked improvement, 59 (22.2%) had moderate improvement, and 30 (11.3%) showed no response, resulting in an overall response rate of 88.7%. Among 146 patients without hypertrophic lesions, 69 (47.3%) achieved complete remission, with a response rate of 92.5%; among 102 with slightly thickened lesions, 32 (31.4%) achieved complete remission, with a response rate of 87.3%; among 17 with markedly thickened lesions, only 1 achieved complete remission, and 11 achieved marked improvement. Among 50 patients who received more than 3 treatment sessions, 28 (56%) had complete remission, with a response rate of 100%; among 45 who received only one session of treatment, 5 (11.1%) achieved complete remission, with a response rate of 68.9%. Among 232 patients without soft tissue hyperplasia, 95 (40.9%) achieved complete remission, with a response rate of 88.8%; among 33 with soft tissue hyperplasia, 7 (21.2%) achieved complete remission, with a response rate of 87.9%. The therapeutic effects significantly differed among patients with different lesion thicknesses, among those with different treatment sessions, as well as between patients with soft tissue hyperplasia and those without (all P < 0.05). There were no significant differences in the therapeutic effect among patients of different genders, different ages, with different lesion colors, as well as between patients with nodules and those without, and between patients with treatment history and those without (all P > 0.05). During and after the treatment, patients experienced varying degrees of swelling, burning sensation, pain, and itching, all of which could be relieved by common treatment; scars occurred in 10 (3.8%) patients, and were managed by symptomatic treatment; no systemic adverse reactions, such as drug allergies or impairment of liver and kidney function, were observed during the treatment. Conclusions:HMME-PDT is safe and effective in the treatment of adult patient with PWS. The therapeutic effect of HMME-PDT was associated with lesion thickening and soft tissue hyperplasia, and increased with the increase in treatment sessions.

ObjectiveAntibiotic resistance genes （ARGs） have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure， the types and levels of antibiotic resistance genes in a water body in east China， and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City， Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water （4）， Mingou water （9） and well water （8） were collected for metagenomics sequencing， assembled with MetaWRAP， annotated with CARD database， and analyzed with R software. ResultsIn various water bodies， the dominant bacteria phyla was Proteobacteria， the dominant bacteria genera were Deuterostomia， Pseudomonas， Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones， aminoglycosides， macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB， RanA， evgS and TxR， The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water， river water， and Mingou water bodies， and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies， possibly due to human production and living activities.