ObjectiveTo analyze the protective effect of different types of influenza vaccines (InfV) against influenza A among the individuals aged between 3‒17 years old, and to provide a scientific basis for the prevention and control of influenza in the future. MethodsA retrospective cohort study was conducted to collect data on the incidence and InfV vaccination of the individuals aged between 3‒17 years during the influenza epidemic season from 2022 to 2023. Vaccine effectiveness (VE) was calculated, and a log-binomial regression model was used to calculate the corrected VE. ResultsThe incidence rate of influenza in InfV vaccinated and un-vaccinated groups was 7.32% (1 937/ 26 446) and 9.65% (4 421/45 837), respectively. After adjusting for age and gender factors, the unadjusted VE (95%CI) was 54.57% (52.24%‒56.78%). The unadjusted VE (95%CI) was 53.66% (50.36%‒56.74%) for males and 55.60% (52.24%‒58.72%) for females, respectively. The unadjusted VE (95%CI) for the age group of 3‒ years, 6‒ years, 9‒ years, 12‒ years, and 15‒17 years were 64.08% (60.89%‒67.01%), 57.40% (53.71%‒60.80%), 57.77% (52.49%‒62.47%), 24.36% (9.49%‒36.79%), and 24.09% (-17.59%‒51.00%), respectively. The unadjusted VE (95%CI) for quadrivalent split-virion inactivated influenza vaccine, trivalent split-virion inactivated influenza vaccine, trivalent subunit influenza vaccine, and trivalent live attenuated influenza vaccine were 53.84% (51.32%‒56.24%), 62.17% (56.28%‒67.26%), 79.83% (69.94%‒86.46%), and 31.59% (19.07%‒42.18%), respectively. ConclusionThe InfV used during the 2022‒2023 influenza season had a good protective effect against influenza A among the individuals aged between 3‒17 years old, especially in those aged between 3‒11 years old.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Inner ear diseases are common in the field of otolaryngology,including hearing loss,tinnitus and peripheral vestibular dysfunction.Their pathogenesis is relatively complex,which is one of the hot spots in current research.A large number of studies have demonstrated that sleep disorder is an important inducement of inner ear diseases.This paper reviews the impact of sleep deprivation on inner ear diseases in order to pro-vide a theoretical basis for the mechanisms of sleep deprivation on inner ear diseases.

Objective To investigate the voice emotion perception of bimodal listeners,and to provide refer-ence and suggestions for hearing rehabilitation of cochlear implant(CI)users.Methods A total of 17 Mandarin-speaking postingual deafness bimodal adults as well as 20 normal hearing(NH)adults and 18 adults with unilateral CI participated in the study.All participants received voice emotion recognition test.Results The NH group had significantly higher accuracy scores and shorter reaction times than the bimodal group and the unilateral CI group(P＜0.05).There were no significant differences in accuracy between the bimodal group and the unilateral CI group(P＞0.05).The reaction time was significantly shorter in the bimodal users than in the unilateral CI users(P＜0.05).The bimodal listeners spent less time in female-speaker material than that in male-speaker material(P＜0.05).Neutral emotion had the highest accuracy(96.67％)and scared emotion had the lowest accuracy(41.82％).Conclusion A contralateral hearing aid(HA)improves the ability of voice emotion perception for Mandarin-speak-ing bimodal listeners,even though they continue to experience more challenges than NH peers.HA in the nonim-planted ear plays an important role in Mandarin-speaking bimodal listeners'voice emotion perception.

Objective To investigate the role of TLR4/NF-κB signaling pathway in mediating sleep depriva-tion induced endolymphatic hydrops.Methods A total of 30 healthy sprague-dawley(SD)rats were randomly di-vided into the control group、big platform control group,and 2 w,3 w,4 w sleep deprivation group,with 6 rats in each group.Modified multiple platform method was adopted to establish the rat sleep deprivation model.Before and after the experiment,the open field and acoustic brain-stem response(ABR)was conducted to evaluate the behavior and hearing level.After ABR test,blood samples were collected from abdominal aorta,and serum levels of TNF-αand MCP-1 were detected by ELISA.The cochlea was dissected,the severity of endolymphatic hydrops was as-sessed by calculating the ratio of the cross sectional area of the membranous cochlear duct(SM)to that of the mem-branous cochlear duct+scale vestibuli(SM+SV).Positive expression of IL-1β,TNF-α,MCP-1,TLR4,NF-κB P65 in rat cochlear tissues was detected via immunohistochemical staining.After the experiment,the changes of hearing level,the severity of endolymphatic hydrops and TLR4/NF-κB signaling pathway related proteins and down-stream inflammatory factors expression level were observed.The correlation between TLR4/NF-κB signaling path-way and hearing level and endolymphatic hydropsin rats was analyzed.Results ABR results showed an increased threshold of wave Ⅱ in the sleep deprivation group compared to those of the control group and big platform control group(P＜0.05).The rate of hydrops was 0％in control and big platform control groups,16.67％in 2w sleep deprivation group and 25％in 3 w and 4 w sleep deprivation group.The concentrations of TNF-αand MCP-1 in ser-um of rats in sleep deprivation groups were higher than those in control and big platform control groups,and the 4w sleep deprivation group were statistically significant compared with control and big platform control groups.The ex-pressions of IL-1β,TNF-α,MCP-1,TLR4 and NF-κB P65 in the cochlear spiral ganglion,spiral canal,stria vascu-laris and spiral ligament of rats in sleep deprivation groups were higher than those in control and big platform control groups.Conclusion Sleep deprivation may induce endolymphatic hydrops by the TLR4/NF-κB signaling pathway.

Objective To explore the value of machine learning(ML)models based on non-contrast CT(NCCT)radiomics features for predicting the severity of acute phase traumatic brain injury(TBI).Methods Totally 600 TBI patients were retrospectively collected as observation group,other 65 TBI patients were taken as external validation set,while 50 TBI patients were prospectively enrolled as prospective validation set.Patients in observation group were divided into high-risk subgroup(n=240)and low-risk subgroup(n=360)according to Glasgow outcome scale(GOS)at discharge.The severity of acute phase TBI in observation group was assessed by doctor A and B with the same criteria,then an artificial model was established based on clinical and NCCT data at the time of first diagnosis using logistic regression(LR)method for predicting the severity of acute phase TBI.Patients in observation group were divided into training set(n=420,including 168 in high-risk subgroup and 252 in low-risk subgroup)and test set(n=180,including 72 in high-risk subgroup and 108 in low-risk subgroup)at the ratio of 7∶3.Based on NCCT of training set,radiomics features were extracted and selected,and LR,support vector machine(SVM),random forest(RF)and K-nearest neighbor(KNN)were used to establish 4 ML models.The efficacies of the above models were validated in test set,external validation set(including 34 cases of high-risk and 31 cases of low-risk TBI)and prospective validation set(including 21 cases of high-risk and 29 cases of low-risk TBI),respectively.Results The area under the curve(AUC)of doctor A and B for evaluating the severity of acute phase TBI in observation group was 0.606 and 0.771,respectively,of artificial model was 0.824.Based on NCCT in training set,6 optimal radiomics features were selected to construct LR,SVM,RF and KNN ML models,with AUC of 0.983,0.971,0.970 and 0.984 in test set,respectively,while the AUC of artificial model was 0.708.The AUC of LR,SVM,RF,KNN ML models and artificial model in external validation set was 0.879,0.881,0.984,0.863 and 0.733,while in prospective validation set was 0.984,0.873,0.982,0.897 and 0.704,respectively.Conclusion ML models based on CT radiomics could effectively predict the severity of acute phase TBI.

Objective To establish a high-throughput method that can simultaneously, quickly, and accurately detect main malaria-transmitting Anopheles species and their resistance genes in China, providing a high-throughput monitoring tool for monitoring the main malaria vectors in China after malaria elimination. Methods In different sampling locations, including Tengchong City, Yunnan Province; Wenchang City, Hainan Province; and Donggang City, Liaoning Province, adult specimens of mosquitoes, including Anopheles sinensis, Anopheles minimus, Anopheles dirus, and Anopheles anthropophagus, were collected. Polymerase chain reaction (PCR) technology and Sanger sequencing were employed to detect the ITS2, kdr (L1014), rdl (A296), and ace-1 (G119) genes in individual mosquitoes. For the analysis of mixed samples, an optimized multiplex PCR reaction system, custom-designed dual barcode primers, and next-generation sequencing (NGS) technology were utilized to detect the aforementioned genes. The consistency was assessed using Kappa consistency tests and Chi-square tests for multiple rates. Sensitivity, specificity, and the Youden index were calculated using a four-grid table calculation method. The costs associated with each step of the normal operational process for each method were statistically summarized, and the optimal quantity of mixed samples for detection was determined by a comprehensive approach. Results Conventional PCR amplification of gDNA from 300 mosquitoes resulted in 144 individuals of Anopheles sinensis, 53 individuals of Anopheles dirus, 62 individuals of Anopheles anthropophagus, and 41 individuals of Anopheles minimus, as identified by Sanger sequencing. The mutation frequencies of resistance genes kdr (L1014), rdl (A296), and ace-1 (G119) were found in 73, 27, and 41 specimens, respectively. Using a newly established multiplex PCR reaction system based on custom dual barcode and NGS sequencing technology, samples corresponding to Sanger sequencing were detected under different sample sizes. The two methods showed high consistency in the results (all Kappa>0.900). Multiple comparison tests showed significant differences in the consistencies of the two methods across different sample sizes N (40, 80, 160), N (120, 200, 240, 280), and N (300) (χ2=26.547, P<0.001). The new method demonstrated high sensitivity and specificity across various sample sizes, with the Youden index ranging from highest to lowest as follows: 1 (40, 80, 160)>0.994 (120)>0.990 (280)>0.988 (200)>0.987 (240)>0.985 (300). With an increase in sample size from 40 to 300, the cost per sequencing site for the new method decreased from 20.0 yuan to 8.3 yuan, while the cost per sequencing site for the conventional method decreased from 16.7 yuan to 15.4 yuan. The optimal mixed sample size for the new method was determined to be 280. Conclusion The newly developed multiplex PCR and barcode NGS detection method enables simultaneous screening of four major malaria vector mosquito species and the presence of mutations in the ace-1, kdr, and rdl resistance genes, exhibiting excellent stability, high sensitivity, and specificity. It allows for the efficient analysis of large sample sizes in a single run, offering a cost-effective alternative compared to other types of detection methods.

BACKGROUND: Cancer stem-like cells (CSCs) are a small subset of cells in tumors that exhibit self-renewal and differentiation properties. CSCs play a vital role in tumor formation, progression, relapse, and therapeutic resistance. B7-H3, an immunoregulatory protein, has many protumor functions. However, little is known about the mechanism underlying the role of B7-H3 in regulating gastric cancer (GC) stemness. Our study aimed to explore the impacts of B7-H3 on GC stemness and its underlying mechanism. METHODS: GC stemness influenced by B7-H3 was detected both in vitro and in vivo . The expression of stemness-related markers was examined by reverse transcription quantitative polymerase chain reaction, Western blotting, and flow cytometry. Sphere formation assay was used to detect the sphere-forming ability. The underlying regulatory mechanism of B7-H3 on the stemness of GC was investigated by mass spectrometry and subsequent validation experiments. The signaling pathway (Protein kinase B [Akt]/Nuclear factor erythroid 2-related factor 2 [Nrf2] pathway) of B7-H3 on the regulation of glutathione (GSH) metabolism was examined by Western blotting assay. Multi-color immunohistochemistry (mIHC) was used to detect the expression of B7-H3, cluster of differentiation 44 (CD44), and Nrf2 on human GC tissues. Student's t -test was used to compare the difference between two groups. Pearson correlation analysis was used to analyze the relationship between two molecules. The Kaplan-Meier method was used for survival analysis. RESULTS: B7-H3 knockdown suppressed the stemness of GC cells both in vitro and in vivo . Mass spectrometric analysis showed the downregulation of GSH metabolism in short hairpin B7-H3 GC cells, which was further confirmed by the experimental results. Meanwhile, stemness characteristics in B7-H3 overexpressing cells were suppressed after the inhibition of GSH metabolism. Furthermore, Western blotting suggested that B7-H3-induced activation of GSH metabolism occurred through the AKT/Nrf2 pathway, and inhibition of AKT signaling pathway could suppress not only GSH metabolism but also GC stemness. mIHC showed that B7-H3 was highly expressed in GC tissues and was positively correlated with the expression of CD44 and Nrf2. Importantly, GC patients with high expression of B7-H3, CD44, and Nrf2 had worse prognosis ( P = 0.02). CONCLUSIONS B7-H3 has a regulatory effect on GC stemness and the regulatory effect is achieved through the AKT/Nrf2/GSH pathway. Inhibiting B7-H3 expression may be a new therapeutic strategy against GC.
Humans ; Cell Line, Tumor ; Neoplasm Recurrence, Local ; NF-E2-Related Factor 2/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Signal Transduction ; Stomach Neoplasms

Objective:To investigate surgical treatment of carotid artery diseases in neck tumor surgery. Methods:A retrospective analysis of the clinical data on carotid artery treatment was conducted in the five cases of neck tumor surgeries treated at Department of Surgical Oncology, the First Peoples Hospital of Lanzhou from March 2010 to May 2020. Surgical methods, including carotid artery resection and ligation, tumor-involved artery resection and vascular reconstruction, and tumor peeling and carotid rupture repairing were used, respectively. Results:Five cases were successfully operated on. One case of carotid artery ligation was followed by intermittent dizziness and decreased contra-lateral limb strength after the surgery. The remaining patients exhibited no neurological complications. A patient with cervical low-grade myofibroblastoma developed into lung metastases 8 months after the surgery. Another patient with cervical lymph node metastases in papillary thyroid cancer developed into lung metastases 24 months after the surgery. Conclusion:Currently, surgical methods for clinical treatment of diseased carotid arteries include carotid artery resection and ligation, simple tumor peeling, tumor invasion artery resection and vascular reconstruction, and interventional therapy. Each surgical method has its own advantages and disadvantages. Therefore, the choice of treatment depends on the patient's specific conditions, physician's clinical experience, and the equipment available.
Humans ; Retrospective Studies ; Carotid Arteries/pathology* ; Head and Neck Neoplasms/pathology* ; Thyroid Neoplasms/surgery* ; Lung Neoplasms/pathology*

Objective:By detecting the levels of proteins in the Toll-like receptor-4/nuclear factor-κB （TLR4/NF-κB） signaling pathway and downstream proinflammatory cytokines in peripheral blood of patients with Meniere's disease （MD）, Pittsburgh Sleep Quality Index （PSQI） scores were collected to investigate the correlation between sleep disorders and MD and the role of TLR4/NF-κB signaling pathway in mediating sleep disorders inducing MD. Methods:Thirty-two MD patients and 20 family members of patients without middle ear and inner ear related diseases were selected. Basic data, PSQI and fasting peripheral blood of all subjects were collected. Enzyme linked immunosorbent assay.The levels of interleukin-1β（IL-1β）, tumor necrosis factor-α（TNF-α）, monocyte chemokine-1（MCP-1）, Toll-like receptor 4（TLR4） and nuclear factor-κB（NF-κB） in peripheral blood were detected by ELISA, and the data were statistically analyzed. Results:①PSQI score of MD group was higher than that of normal control group, and the difference was statistically significant（P<0.01）; The scores of every factors of PSQI in MD group were higher than those in normal control group, and the scores of factors 2, 4 and 6 were significantly different from those in normal control group. ②In the MD group, there were 18 patients with sleep disorders, with a prevalence rate of 56.25%, including 6 males with a prevalence rate of 50.00% and 12 females with a prevalence rate of 60.00%. ③The levels of five test indexes in MD group, sleep disorder group and non-sleep disorder group were higher than those in control group, and the levels of TLR4 and NF-κB in MD group were significantly different from those in control group（P<0.05）. The levels of IL-1β, TNF-α, TLR4 and NF-κB in sleep disorder group were significantly different from those in control group（P<0.05）. The levels of five test indexes in non-sleep disorder group were not statistically significant compared with those in control group. The levels of five test indexes in the MD sleep disorder group were higher than those in the MD group and the non-sleep disorder group, with no statistical significance. The levels of five test indexes in MD group were higher than those in non-sleep disorder group, with no statistical significance（P>0.05）. Conclusion:①Sleep disorders may be one of the important predisposing factors of some MD, and the effects of sleep disorders on MD are different between the sexes. ②Sleep disorders may activate TLR4/NF-κB signaling pathway to induce MD. The selection of TLR4/NF-κB signaling pathway related proteins and downstream pro-inflammatory factor inhibitors to intervene MD may provide a new idea for protecting the hearing balance function of MD.
Female ; Humans ; Male ; Meniere Disease ; NF-kappa B/metabolism* ; Signal Transduction ; Sleep Deprivation ; Toll-Like Receptor 4 ; Tumor Necrosis Factor-alpha/metabolism*