1.Influenza surveillance results in Ordos City in 2017 - 2023
Xiaomin ZHANG ; Hongtao XIAO ; Sheng WANG ; Rong SUN ; Shangwu JIN ; Di ZHANG ; Jiming HAO ; Jialin LYU ; Chunyan YANG
Journal of Public Health and Preventive Medicine 2026;37(2):54-58
Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ2=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ2=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.
2.Influence of Footwear on Foot Comfort of Workers Engaged in Prolonged Standing Occupations: A Systematic Review
Lu-ping KANG ; Tai-sheng GONG ; Xiao-hong QUAN ; Chen ZHANG
Safety and Health at Work 2026;17(1):24-32
Prolonged standing work can lead to various lower limb health issues. Footwear, as a convenient and noninvasive intervention, plays a key role in foot protection. The purpose of this review was to evaluate the impact of footwear characteristics on foot comfort among workers engaged in prolonged standing occupations. A systematic search of PubMed, Web of Science, Scopus, and the Cochrane Library was conducted until March 2025 for experimental and observational studies; the review is registered in International Prospective Register of Systematic Reviews (CRD420251003253).Given the diversity of study designs, participant characteristics, and outcome measures, results were synthesized narratively, organizing findings by footwear design factors. The synthesis indicated that soft soles reduce foot impact and fatigue but offer limited support, whereas hard soles enhance stability but may cause localized pressure and discomfort. Sole hardness should balance cushioning and support based on activity: hard soles for standing and soft soles for walking. Insole hardness must be carefully considered as semirigid arch supports can cause discomfort. Most insoles improve pressure distribution by adjusting arch loading, and some enhance intrinsic foot muscles by promoting toe engagement, reducing leg swelling. Custom orthotic insoles outperform standard ones in comfort and balance. Future research should promote interdisciplinary collaboration with footwear designers to explore key design parameters and establish a scientific framework for protective footwear.
3.A Personalized Brain-computer Interface Paradigm and Decoding Method for The Objective Evaluation of Auditory Frequency Difference Limen
Sheng-Ye LI ; Xiao-Lin XIAO ; Shi-Hang YU ; Bei-Bei ZHANG ; Xing-Wei AN ; Min-Peng XU ; Dong MING
Progress in Biochemistry and Biophysics 2026;53(7):1927-1941
ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R2=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.
4.Research Advances of Deep Learning-based Raman Spectroscopy and Their Application in Detection of Microplastics
Yong-Hui HAN ; Chun-Bo SHI ; Wang LIANG ; Xiao-Yue ZHANG ; Jian-Sheng CUI ; Bo YAO
Chinese Journal of Analytical Chemistry 2025;53(2):153-163
Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.
5.Construction of A Single-cell Metabolomics Mass Spectrometry Analysis Platform Enabling Continuous Injection Based on Ultrasound
Wen-Mei ZHANG ; Xiao-Kai GUO ; Tai-Lin XU ; Guang-Sheng GUO ; Xia-Yan WANG
Chinese Journal of Analytical Chemistry 2025;53(3):338-345
Single-cell metabolite analysis at the small molecule level reveals intercellular heterogeneity and molecular diversity,especially living cell metabolite analysis which can provide more accurate biochemical information.In this study,a comprehensive single-cell metabolomics mass spectrometry analysis platform was constructed based on continuous ultrasonic sample introduction,aiming to improve the utilization rate of single cells and the efficiency of mass spectrometry detection.This platform utilized mechanical motion generated by a miniaturized ultrasound module,which minimally affected cell integrity and viability,enabling cell suspension and dispersion for up to 60 min,with cell viability exceeding 70%.By comparing cell suspension densities and the cell number of mass spectrometry detections between static and ultrasound groups,the results showed that the ultrasound treatment significantly reduced cell sedimentation rate and increased single-cell mass spectrometry detection efficiency.Applying this platform to single-cell analysis of cell line of mouse cerebellar astrocytes(C8D1A)and mouse glioma(GL261)cells achieved clustering and differential analysis of different cell types,demonstrating the method's potential in analyzing cellular heterogeneity and identifying cells.This approach promised to provide new insights and solutions for single-cell analysis.
6.Bioequivalence of rivaroxabanpian in healthy Chinese subjects
Xu ZHU ; Xiao-ni WANG ; Chang LU ; Ran ZHANG ; Ning CHEN ; Jin-mei ZHOU ; Feng ZHANG ; Wen ZHANG ; Sheng-long ZHAO ; Shun-wang HUANG ; Huan ZHOU
Chinese Pharmacological Bulletin 2025;41(11):2194-2199
Aim To evaluate the bioequivalence of two oral preparations of rivaroxaban tablets(test preparation T and refe-rence preparation R)in fasting/postprandibular state in healthy Chinese subjects.Methods A randomized,open,single-dose,four-cycle,completely repeated crossover experiment was used in this study.A total of 70 healthy male and female subjects were enrolled,including 38 subjects in the fasting group and 32 sub-jects in the postprandial group.Rivaroxaban tablets(2.5 mg/tablet)were taken orally once per cycle and their reference preparations were tested.The plasma rivaroxaban concentration was determined by LC-MS/MS method.The pharmacokinetic parameters of rivaroxaban tablets were calculated by WinNonlin software,and the parameters were analyzed and processed.Re-sults The PK parameters of rivaroxaban tablets and reference preparations in fasting group were as follows:Cmax was(72.48±17.08)and(66.36±15.64)μg·L-1,respectively.AUC0-t were(383.49±101.06)and(370.43±102.16)h·ng·mL-1,and AUC0-inr were(389.58±102.28)and(375.84±103.01)h·μg·L-,respectively.Main PK parameters of subjects taking rivaroxaban tablets orally after meals:Cmax were(66.48±15.64 and 60.87±13.44)μg·L-1,AUC0-t were(404.44±72.58)and(381.80±79.93)h·μg·L-1,re-spectively.AUC0_inf was(410.88±73.55)and(393.64±69.71)h·μg·L-1,respectively.Under fasting and postmeal conditions,subjects took rivaroxaban test and reference prepara-tion orally,one tablet(2.5 mg/tablet)each time.The geometric mean of the main pharmacokinetic parameters of rivaroxaban in plasma(Cmax,AUC0-t,AUC0-inf)and their corresponding values had a 90%confidence interval ranging from 80.00%to 125.00%.No serious adverse events or unexpected adverse e-vents occurred in both groups.Conclusion Rivaroxaban tablets are bioequivalent and safe in vivo under fasting and postprandial conditions.
7.Advances in mechanism of mitochondrial quality control system in endometriosis
Yuan-huan CHEN ; Bin YUE ; Hai-yan MAO ; Can-can HUANG ; Xiao-hua ZHANG ; Peng FENG ; Quan-sheng WU
Chinese Pharmacological Bulletin 2025;41(3):406-410
Endometriosis(EMs)is a common estrogen-depend-ent clinical disease with the pathological characteristics of malig-nant tumors,which has great impact on women's physical and mental health.In recent years,experimental exploration has re-vealed that ectopic foci are in a hypoxic environment outside the uterine cavity,and mitochondria,as the"functional factories"of the cells,play an important role in the process of planting and in-vasion,and the mitochondrial quality control system,which in-cludes mitochondrial oxidative stress,kinetics,autophagy,bio-genesis and calcium homeostasis,is a key mechanism for the e-quilibrium of the mitochondrial function.The mitochondrial quality control system,including mitochondrial oxidative stress kinetics,autophagy,biogenesis and calcium homeostasis,is a key mechanism for mitochondrial functional balance.Therefore,to clarify the role of the mitochondrial quality control system in the development of EMs with the help of rational and rigorous experi-mental and clinical studies can not only help to clarify the patho-genesis of the disease,but also explore the key targets in the prevention and treatment of the disease.Therefore,this article summarizes the research progress of mitochondrial quality control system in endometriosis,with a view to providing reference and theoretical basis for the etiology,pathogenesis and prevention strategies of EMs.
8.Study on the effect and mechanism of curculigoside on hippocampal neuron injury in epileptic rats
Mo ZHANG ; Yang SHANG ; Jun-na ZHANG ; Guo-sheng HOU ; Xiao-lan RUAN
Journal of Regional Anatomy and Operative Surgery 2025;34(7):589-594
Objective To investigate the effect and mechanism of curculigoside(CUR)on hippocampal neuron injury in epileptic rats.Methods Forty-eight rats were selected,and the epileptic rat models were established by induction with 35 mg/kg pentylenetetrazol.The epileptic rats were randomly divided into the epilepsy group,the epilepsy+low-dose CUR group(the epilepsy+CUR-L group),the epilepsy+high-dose CUR group(the epilepsy+CUR-H group),and the epilepsy+CUR-H+PI3K activator 740Y-P group(the epilepsy+CUR-H+740Y-P group),with 12 rats in each group.Another 12 rats that were intraperitoneally injected with the same amount of normal saline were taken as the control group.Four weeks after administration,the behavioral changes of rats in each group were observed.Nissl staining was applied to determine the neuronal changes in hippocampal tissue.Immunohistochemistry was applied to detect the number of microglia in hippocampal tissue.ELISA was applied to detect the levels of interleukin-6(IL-6),IL-1β,and gamma-aminobutyric acid(GABA)in hippocampal tissue.TUNEL staining was applied to analyze the level of neuronal apoptosis in hippocampal tissue.Western blot was applied to detect the phosphorylation levels of PI3K,Akt and mTOR in hippocampal tissue.Results Compared with the control group,the Racine score and the frequency of epileptic seizures in rats,and the number of microglia,level of IL-6,level of IL-1β,the apoptosis rate of neurons,and levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR in hippocampal tissue in the epilepsy group were obviously increased(P<0.05),while the level of GABA in hippocampal tissue was obviously reduced(P<0.05),and the arrangement of neurons in hippocampal tissue was disordered,with neuronal loss.Compared with the epilepsy group,the Racine score,and the frequency of epileptic seizures in rats,and the number of microglia,levels of IL-6,levels of IL-1β,the apoptosis rates of neurons,and levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR in hippocampal tissue in the epilepsy+CUR-L group and the epilepsy+CUR-H group were significantly decreased(P<0.05),while the levels of GABA in hippocampus tissue were significantly increased(P<0.05),the loss and necrosis of neurons in hippocampus tissue were decreased,and the disorder of cell arrangement was improved.Compared with the epilepsy+CUR-H group,the Racine score and the frequency of epileptic seizures in rats,and the number of microglia,level of IL-6,level of IL-1β,the apoptosis rate of neurons,and levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR in hippocampal tissue in the epilepsy+CUR-H+740Y-P group were significantly increased(P<0.05),while the level of GABA in hippocampus tissue was significantly decreased(P<0.05),the loss and necrosis of hippocampal neurons increased,and the cell arrangement was disordered.Conclusion CUR may reduce hippocampal neuron damage in epileptic rats by downregulating the PI3K/Akt/mTOR signaling pathway.
9.Robot-assisted surgery for renal cell carcinoma in a pilot: a case report and literature review
Xintao LI ; Jinxuan ZHANG ; Haibo SHENG ; Jun WANG ; Di LI ; Jizhang XING ; Jingmin YAN ; Dawei MU ; Kaikai CHEN ; Xiaolong WEI ; Shuwei XIAO ; Bin SUN ; Jianye LI
Chinese Journal of Aerospace Medicine 2025;36(2):145-149
Objective:To investigate the selection of treatment methods for renal tumors in pilots as well as the clinical significance of robot-assisted surgery by summarizing the process of robot-assisted surgery in the treatment of renal cell carcinoma in a pilot.Methods:The diagnosis, robot-assisted surgery and aeromedical assessment of a pilot with renal cell carcinoma were reported, and the related literature was reviewed.Results:The patient was a 44-year-old male transporter pilot, who was diagnosed with a left renal mass in the middle-lower pole of the kidney during a routine abdominal CT scan. After detailed preoperative evaluation that ruled out the possibility of distant metastasis and other surgical contraindications, the patient underwent robot-assisted laparoscopic partial nephrectomy in August 2022. The postoperative recovery went well, and renal function remained within normal limits at follow-ups. In March 2023, the pilot was concluded as qualified for flight after aeromedical assessment.Conclusions:Robot-assisted partial nephrectomy can significantly reduce surgical trauma, lower the risk of complications, and maximally preserve renal function. It is a good approach to renal tumors in pilots who can recover quickly.
10.Predictive value of ox-LDL combined with ECG ischaemia grading for MACE after PCI in STEMI pa-tients
Ya-zhao SUN ; Gang LI ; Shu-yan ZHANG ; Pei SUN ; Hai-lin LI ; Ling-xiao ZHANG ; Bin LIU ; Dong-sheng LIU
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(2):199-204
Objective:The predictive value of oxidized low density lipoprotein(ox-LDL)and electrocardiogram(ECG)ischaemia grade for major adverse cardiovascular events(MACE)in patients with ST elevation myocardial infarction(STEMI)after percutaneous coronary intervention(PCI)was assessed by a retrospective cohort study de-sign.Methods:A total of 336 STEMI patients admitted to Cangzhou People's Hospital between October 2019 and May 2022 were selected,and the medical record information was obtained through the hospital medical record sys-tem,and all patients received PCI and physician-recommended basic treatment.With occurrence of MACE with in 12-month follow-up as the evaluation index,they were divided into MACE group(n=65)and no MACE group(n=271).Multifactorial Logistic regression model was used to study the influencing factors of MACE after PCI in STEMI patients,and Spearman test for association of ox-LDL level,ECG ischaemia grade with MACE after PCI.ROC curve was used to evaluate the predictive efficacy of ox-LDL,ECG ischaemia grade and their combination for MACE after PCI.Results:The overall MACE incidence was 19.35%.Compared with patients in no MACE group,those in MACE group had significant higher ox-LDL level[46.34(29.46,66.29)U/L vs.33.00(23.02,50.03)U/L]and proportion of ECG grade Ⅲ ischaemia(64.62%vs.42.80%)(P<0.01 all).Multifactorial Logistic re-gression analysis showed that ox-LDL(OR=1.022,95%CI 1.011~1.033,P=0.001)and ECG grade Ⅲ ischae-mia(OR=1.878,95%CI 1.007~3.504,P=0.048)were the independent risk factors of post-PCI MACE in STEMI patients.Spearman test showed that ox-LDL and ECG grade Ⅲ ischaemia were positively correlated with post-PCI MACE(r=0.209,0.173,P<0.001 all).ROC curve analysis showed that the AUCs of ox-LDL,ECG grade Ⅲ ischaemia and their combination in predicting post-PCI MACE were respectively 0.653(95%CI 0.599~0.704),0.609(95%CI 0.555~0.662)and 0.758(95%CI 0.709~0.803),in which the predictive value of the combination of the two was significantly higher than any single detection(Z=2.030,3.097,P=0.042,0.002).Conclusion:ox-LDL combined with ECG ischaemia grading has a high predictive value for the occurrence of MACE with in 12 months after PCI in STEMI patients.


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