1.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.
2.Identification of telomere-related diagnostic markers in osteoarthritis based on bioinformatics analysis and machine learning
Sheng XU ; Jia YE ; Xiaochong CAI
The Korean Journal of Physiology and Pharmacology 2025;29(3):359-372
Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.
3.Identification of telomere-related diagnostic markers in osteoarthritis based on bioinformatics analysis and machine learning
Sheng XU ; Jia YE ; Xiaochong CAI
The Korean Journal of Physiology and Pharmacology 2025;29(3):359-372
Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.
4.Clinical trail of vericiguat combined with sacubitril valsartan sodium in the treatment of patients with heart failure with reduced ejection fraction
Miao-jun WANG ; Shi-ping XU ; Xiao-jin PAN ; Zhi-dong YE ; Yu-fang LIAN ; Jun QIU ; Shao-tang LU ; Sheng-jie ZHOU
The Chinese Journal of Clinical Pharmacology 2025;41(1):6-10
Objective To observe the clinical efficacy and safety of vericiguat tablets combined with sacubitril valsartan sodium(Sac/Val)tablets in the treatment of patients with heart failure with reduced ejection fraction(HFrEF).Methods The HFrEF patients were divided into control group and treatment group according to the cohort method.The control group was treated with Sac/Val tablets 200 mg per time,bid,orally.On the basis of control group,the treatment group was treated with vericiguat tablets 2.5 mg per time,qd,taken with meal.Two groups were treated for 3 months.The clinical efficacy,left ventricular ejection fraction(LVEF),left ventricular end-diastolic dimension(LVEDD)and end-systolic diameter(LVESD),levels of high sensitivity C-reactive protein(hs-CRP),interleukin-6(IL-6),nitric oxide(NO),N-terminal pro-brain natriuretic peptide(NT-proBNP),blood urea nitrogen(BUN)and serum creatinine(SCr),and safety were compared between the two groups.During follow-up,the heart failure rehospitalization rates and major adverse cardiovascular events were compared between the two groups.Results Treatment group was enrolled 53 patients,control group was enrolled 53 patients.After treatment,the total effective rates of treatment and control groups were 94.34%(50 cases/53 cases)and 81.13%(43 cases/53 cases)with statistical significant difference(P<0.05).After treatment,the LVEF of treatment and control groups were(48.02±5.20)%and(43.02±4.33)%,the LVEDDs were(52.85±6.30)and(55.63±6.88)mm,the LVESDs were(41.64±6.40)and(44.22±5.85)mm,the levels of hs-CRP were(10.22±2.63)and(14.60±2.98)mg L-1,the levels of IL-6 were(14.48±2.40)and(17.36±2.52)pg·mL-1,the levels of NO were(102.60±20.16)and(92.16±16.33)μmol·L-1,the levels of NT-proBNP were(898.74±102.20)and(1315.60±182.64)ng·L-1,the levels of BUN were(12.02±2.28)and(13.45±2.33)mmol·L-1,the levels of SCr were(82.22±5.89)and(85.64±6.03)μmol·L-1,the heart failure rehospitalization rates were 5.66%and 13.21%,respectively;the differences were statistical significant between two groups(all P<0.05).The adverse drug reactions of treatment group were hyperkalemia,hypotension,renal dysfunction,dizziness and headache,while those in control group were renal dysfunction,hyperkalemia,and hypotension.The major adverse cardiovascular events of treatment group were angina pectoris and acute myocardial infarction,while those in control group were angina pectoris,acute myocardial infarction and atrial fibrillation.The incidences of total adverse drug reactions in treatment and control groups were 13.21%and 7.55%,the incidences of major adverse cardiovascular events were 5.66%and 13.21%,respectively,without statistically significant differences(all P>0.05).Conclusion Vericiguat tablets combined with Sac/Val tablets have a definitive clinical efficacy in the treatment of HFrEF patients,which can improve cardiac and endothelial function,reduce inflammatory response and readmission times,without increasing the incidences of adverse drug reactions.
5.Bardoxolone methyl blocks the efflux of Zn2+ by targeting hZnT1 to inhibit the proliferation and metastasis of cervical cancer.
Yaxin WANG ; Qinqin LIANG ; Shengjian LIANG ; Yuanyue SHAN ; Sai SHI ; Xiaoyu ZHOU ; Ziyu WANG ; Zhili XU ; Duanqing PEI ; Mingfeng ZHANG ; Zhiyong LOU ; Binghong XU ; Sheng YE
Protein & Cell 2025;16(11):991-996
6.Effects of electrical field stimulation on the proliferation and migration of Schwann cells
Jingtian QI ; Yongping YE ; Yongjun XU ; Qingsong SHENG ; Longyu CAI ; Jianwei HU ; Yongguang ZHANG
Chinese Journal of Medical Physics 2025;42(2):240-244
Objective To establish an electrical field(EF)stimulation model for Schwann cells(SCs),and to provide a basis for exploring the mechanisms of EF stimulation in promoting proliferation,migration and epithelial-to-mesenchymal transition of SCs.Methods A YC-3 bipolar programmable electrical stimulator and an electrotaxis chamber were used to construct an EF stimulation system to stimulate SCs.In the study,SCs were divided into control group(Ctrl)receiving no EF stimulation and EF group stimulated by continuous constant-voltage EF(100 mV/mm,3 h).The effects of EF stimulation on the proliferation and migration of SCs were analyzed using CCK-8 assay,and wound healing assay+Transwell assay,separately;and its effect on SCs adhesion was observed by analyzing the expressions of E-cadherin and N-cadherin using Western Blot.Results The CCK-8 assay results suggested that the absorbance at 450 nm was significantly higher in EF group than in Ctrl group(P<0.05).The results of wound healing assay+Transwell assay revealed that EF group had higher cell migration efficiency than Ctrl group(P<0.05).Western Blot results showed decreased E-cadherin expression and increased N-cadherin expression in EF group as compared with Ctrl group(P<0.05).Conclusion The improved EF stimulation system for SCs is operable.EF stimulation can promote the proliferation and migration of SCs.The decreased E-cadherin expression and increased N-cadherin expression may be related to the occurrence of epithelial-to-mesenchymal transition in SCs after EF stimulation.
7.Role of radiotherapy in extensive-stage small cell lung cancer after durvalumab-based immunochemotherapy: A retrospective study.
Lingjuan CHEN ; Yi KONG ; Fan TONG ; Ruiguang ZHANG ; Peng DING ; Sheng ZHANG ; Ye WANG ; Rui ZHOU ; Xingxiang PU ; Bolin CHEN ; Fei LIANG ; Qiaoyun TAN ; Yu XU ; Lin WU ; Xiaorong DONG
Chinese Medical Journal 2025;138(17):2130-2138
BACKGROUND:
The purpose of this study was to evaluate the safety and efficacy of subsequent radiotherapy (RT) following first-line treatment with durvalumab plus chemotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC).
METHODS:
A total of 122 patients with ES-SCLC from three hospitals during July 2019 to December 2021 were retrospectively analyzed. Inverse probability of treatment weighting (IPTW) analysis was performed to address potential confounding factors. The primary focus of our evaluation was to assess the impact of RT on progression-free survival (PFS) and overall survival (OS).
RESULTS:
After IPTW analysis, 49 patients received durvalumab plus platinum-etoposide (EP) chemotherapy followed by RT (Durva + EP + RT) and 72 patients received immunochemotherapy (Durva + EP). The median OS was 17.2 months vs . 12.3 months (hazard ratio [HR]: 0.38, 95% confidence interval [CI]: 0.17-0.85, P = 0.020), and the median PFS was 8.9 months vs . 5.9 months (HR: 0.56, 95% CI: 0.32-0.97, P = 0.030) in Durva + EP + RT and Durva + EP groups, respectively. Thoracic radiation therapy (TRT) resulted in longer OS (17.2 months vs . 14.7 months) and PFS (9.1 months vs . 7.2 months) compared to RT directed to other metastatic sites. Among patients with oligo-metastasis, RT also showed significant benefits, with a median OS of 17.4 months vs . 13.7 months and median PFS of 9.8 months vs . 5.9 months compared to no RT. Continuous durvalumab treatment beyond progression (TBP) prolonged OS compared to patients without TBP, in both the Durva + EP + RT (NA vs . 15.8 months, HR: 0.48, 95% CI: 0.14-1.63, P = 0.238) and Durva + EP groups (12.3 months vs . 4.3 months, HR: 0.29, 95% CI: 0.10-0.81, P = 0.018). Grade 3 or 4 adverse events occurred in 13 (26.5%) and 13 (18.1%) patients, respectively, in the two groups; pneumonitis was mostly low-grade.
CONCLUSION
Addition of RT after first-line immunochemotherapy significantly improved survival outcomes with manageable toxicity in ES-SCLC.
Humans
;
Small Cell Lung Carcinoma/therapy*
;
Retrospective Studies
;
Male
;
Female
;
Middle Aged
;
Lung Neoplasms/therapy*
;
Aged
;
Antibodies, Monoclonal/therapeutic use*
;
Adult
;
Immunotherapy/methods*
;
Aged, 80 and over
8.The disability levels and characteristics of the elderly population in China:Assessment and prediction based on Multiple Data Sources
Hang-kong ZHANG ; Hui-min XU ; Ye-sheng LUO
Chinese Journal of Health Policy 2025;18(8):1-9
Objective:Accurately grasping the disability levels and characteristics of the elderly population in China is of significant importance for responding effectively to the care service needs of this demographic.Methods:Based on multi-wave data(2011-2023)from three nationally representative aging-related surveys CLHLS,CHARLS and CALSS,this study assessed,compared,and predicted the disability levels and characteristics of China's elderly population.Results:Direct estimates from existing survey data showed low reliability.Integrated multi-source projections indicate that the disability rate among China's population aged 65 and older will follow a phased upward trend,ranging approximately between 12.27%and 15.05%from 2025 to 2050,with the disabled elderly population growing continuously from 25.9 million to 58.64 million.Bathing,toileting,and dressing were the three activities with the highest disability rates.Discussion and Suggestions:Future efforts should focus on improving the construction of an elderly capacity assessment system and addressing the shortage of high-quality disability data.Research should emphasize the evaluation process of item-specific disability among older adults.It is essential to grasp the phased characteristics of changes in disability levels and identify critical windows of opportunity for response.Based on the item-specific disability characteristics of older adults,the focus of elderly care services,facilities,and product supply should be accurately targeted.
9.Identification of telomere-related diagnostic markers in osteoarthritis based on bioinformatics analysis and machine learning
Sheng XU ; Jia YE ; Xiaochong CAI
The Korean Journal of Physiology and Pharmacology 2025;29(3):359-372
Osteoarthritis (OA) is one of the most prevalent joint disorders, with aging considered a primary, irreversible factor contributing to its progression. Telomere-related cellular senescence may be a crucial factor influencing the OA process, yet biomarkers for OA based on telomere-related genes have not been clearly identified. The datasets GSE51588, GSE12021, and GSE55457 were retrieved from the Gene Expression Omnibus database. Initially, R software was utilized to identify differentially expressed genes between OA and normal samples. Subsequently, differentially expressed telomere-related genes (DETMRGs) were obtained, and their functional enrichment was analyzed. Feature genes for OA diagnosis were selected from DETMRGs using a combination of least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Random Forest algorithms. The diagnostic value of these feature genes was then validated through receiver operating characteristic (ROC) curves and decision curve analysis. Additionally, CIBERSORT and xCell were employed to assess the infiltration of immune cells in OA tissues.Finally, potential drugs targeting candidate genes were predicted. Three telomererelated genes, PGD, SLC7A5, and TKT, have been identified as biomarkers for OA diagnosis and were confirmed through ROC diagnostic tests. The immune infiltration of mast cells, neutrophils, common lymphoid precursors, and eosinophils associated with PGD, SLC7A5, and TKT was reduced. Recognizing telomere-related genes PGD, SLC7A5, and TKT as potential diagnostic biomarkers for OA is significant, as it offers valuable insights into the role of telomere-related genes in OA. This discovery also provides valuable information for the diagnosis and treatment of OA.
10.Clinical trail of vericiguat combined with sacubitril valsartan sodium in the treatment of patients with heart failure with reduced ejection fraction
Miao-jun WANG ; Shi-ping XU ; Xiao-jin PAN ; Zhi-dong YE ; Yu-fang LIAN ; Jun QIU ; Shao-tang LU ; Sheng-jie ZHOU
The Chinese Journal of Clinical Pharmacology 2025;41(1):6-10
Objective To observe the clinical efficacy and safety of vericiguat tablets combined with sacubitril valsartan sodium(Sac/Val)tablets in the treatment of patients with heart failure with reduced ejection fraction(HFrEF).Methods The HFrEF patients were divided into control group and treatment group according to the cohort method.The control group was treated with Sac/Val tablets 200 mg per time,bid,orally.On the basis of control group,the treatment group was treated with vericiguat tablets 2.5 mg per time,qd,taken with meal.Two groups were treated for 3 months.The clinical efficacy,left ventricular ejection fraction(LVEF),left ventricular end-diastolic dimension(LVEDD)and end-systolic diameter(LVESD),levels of high sensitivity C-reactive protein(hs-CRP),interleukin-6(IL-6),nitric oxide(NO),N-terminal pro-brain natriuretic peptide(NT-proBNP),blood urea nitrogen(BUN)and serum creatinine(SCr),and safety were compared between the two groups.During follow-up,the heart failure rehospitalization rates and major adverse cardiovascular events were compared between the two groups.Results Treatment group was enrolled 53 patients,control group was enrolled 53 patients.After treatment,the total effective rates of treatment and control groups were 94.34%(50 cases/53 cases)and 81.13%(43 cases/53 cases)with statistical significant difference(P<0.05).After treatment,the LVEF of treatment and control groups were(48.02±5.20)%and(43.02±4.33)%,the LVEDDs were(52.85±6.30)and(55.63±6.88)mm,the LVESDs were(41.64±6.40)and(44.22±5.85)mm,the levels of hs-CRP were(10.22±2.63)and(14.60±2.98)mg L-1,the levels of IL-6 were(14.48±2.40)and(17.36±2.52)pg·mL-1,the levels of NO were(102.60±20.16)and(92.16±16.33)μmol·L-1,the levels of NT-proBNP were(898.74±102.20)and(1315.60±182.64)ng·L-1,the levels of BUN were(12.02±2.28)and(13.45±2.33)mmol·L-1,the levels of SCr were(82.22±5.89)and(85.64±6.03)μmol·L-1,the heart failure rehospitalization rates were 5.66%and 13.21%,respectively;the differences were statistical significant between two groups(all P<0.05).The adverse drug reactions of treatment group were hyperkalemia,hypotension,renal dysfunction,dizziness and headache,while those in control group were renal dysfunction,hyperkalemia,and hypotension.The major adverse cardiovascular events of treatment group were angina pectoris and acute myocardial infarction,while those in control group were angina pectoris,acute myocardial infarction and atrial fibrillation.The incidences of total adverse drug reactions in treatment and control groups were 13.21%and 7.55%,the incidences of major adverse cardiovascular events were 5.66%and 13.21%,respectively,without statistically significant differences(all P>0.05).Conclusion Vericiguat tablets combined with Sac/Val tablets have a definitive clinical efficacy in the treatment of HFrEF patients,which can improve cardiac and endothelial function,reduce inflammatory response and readmission times,without increasing the incidences of adverse drug reactions.

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