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.

Both type 2 diabetes mellitus (T2DM) and metabolic associated fatty liver disease (MAFLD) fall within the spectrum of metabolic diseases, and they exhibit a bi-directional causal relationship and robust reciprocal association. Their shared pathological cornerstone is insulin resistance (IR), which involves the interplay of mitochondrial dysfunction and chronic inflammation, forming a cascading pathological process of “IR-mitochondrial dysfunction-inflammation”. This largely explains the notable upward trend in T2DM-MAFLD co-occurrence observed over recent years. Exercise intervention, as a safe and effective non-pharmacological approach, can improve the pathological progression of these patients at multiple levels. Following the logical framework of “pathogenesis-efficacy comparison-molecular mechanisms-clinical translation”, this article systematically compares the efficacy and molecular mechanisms of moderate-intensity continuous training (MICT), resistance exercise, high-intensity interval training (HIIT), and combined training. MICT reduces intrahepatic triglycerides by promoting lipolysis and improving cardiorespiratory fitness; resistance exercise increases muscle mass and basal metabolic rate, offering unique advantages in preserving muscle while reducing fat and improving insulin sensitivity; HIIT is a time-efficient exercise modality that enhances patients’ cardiorespiratory fitness and insulin sensitivity by alternating brief periods of vigorous exertion with recovery periods, with a prominent short-term triglyceride-lowering effect; combined training produces synergistic effects, comprehensively improving glucolipid metabolism and showing the best long-term adherence. Mechanistically, exercise exerts its beneficial effects through three common pathways: (1) AMPK-mediated lipid oxidation and mitochondrial biogenesis; (2) IRS/PI3K/Akt-mediated insulin signaling sensitization; and (3) Nrf2/ARE anti-oxidation and TGF-β/Smads anti-fibrosis regulation. Different exercise modalities activate these pathways with distinct emphases: MICT most directly and persistently activates the AMPK pathway; resistance exercise uniquely improves IRS/PI3K/Akt signaling through muscle mass gain; HIIT induces the highest AMPK activation intensity and triggers unique lactate-mediated signaling regulation; combined training integrates the above multiple mechanistic advantages. For clinical translation, multidisciplinary team collaboration is essential to ensure safety and adherence. Individualized prescriptions should be formulated according to the FITT-VP principle and patient phenotypes—frequency of 3-5 sessions/week of aerobic exercise combined with 2-3 sessions/week of resistance exercise; intensity of moderate-intensity (40%-60% heart rate reserve (HRR))aerobic exercise and 60%-80% of one-repetition maximum (1-RM) for resistance exercise; time of at least 150 min/week of moderate-intensity aerobic exercise, 30-60 min per session; type of combined training as the preferred modality; total volume of≥500-1 000 MET-min/week; and progression adjusted every 4-6 weeks—with real-time adjustments supported by wearable devices, ultimately forming a closed-loop management system from initial assessment to long-term follow-up. Notably, current studies have limitations such as small sample sizes and short intervention periods. Future research should focus on long-term follow-up, multi-omics biomarkers, and combined exercise-drug strategies. In conclusion, the systematic integration of structured, individualized, and sustainable exercise interventions into the multidisciplinary management pathway for patients with T2DM complicated by MAFLD is an urgent need in current clinical practice.

Objective To develop and validate a transgenic mouse model enabling specific and inducible optogenetic activation of oligodendrocyte precursor cells(OPCs).Methods A conditional allele for the photosensitive opsin chicken opsin 5(cOpn5)(Rosa26-LSL-cOpn5)was generated using CRISPR/Cas9 technology.These mice were subsequently crossed with NG2-CreERT transgenic mice to produce NG2-CreERT;cOpn5 animals.In this model,tamoxifen administration induces Cre-mediated recombination,leading to specific expression of cOpn5 in NG2-positive OPCs.The specificity and efficiency of cOpn5 expression in OPCs were confirmed by immunofluorescent staining.Functional validation of light-induced OPC activation was performed by using calcium imaging in acute brain slices after stimulation with 470 nm blue light.Results Immunofluorescence analysis confirmed robust and specific expression of cOpn5 within NG2-positive OPCs in the brains of tamoxifen-treated NG2-CreERT;cOpn5 mice.Crucially,calcium imaging of acute brain slices from these mice demonstrated a significant increase in intracellular calcium levels in cOpn5-expressing OPCs upon stimulation with 470 nm blue light,indicating successful optogenetic activation.Conclusion We have successfully generated and validated a novel transgenic mouse model(NG2-CreERT;cOpn5)that permits specific and inducible optogenetic activation of OPCs.This model provides a novel tool for subsequent in vivo studies of the role and regulating mechanisms of OPCs in the central nervous system.

Objective:To investigate the predictive value of serum neutrophil gelatinase-associated lipocalin(NGAL),calcitonin gene-related peptide(CGRP),and neutrophil-to-lymphocyte ratio(NLR)for the prognostic regression of elderly patients with stroke complicated with pulmonary infection(SCPI).Methods:This study was a retrospective single-center study,149 elderly patients with SCPI who were admitted to Inner Mongolia Baogang Hospital from June 2020 to June 2024 were selected,they were divided into poor prognosis group(n=56)and good prognosis group(n=93)according to the prognosis.Baseline data and laboratory test indicators were collected,and NLR was calculated.Serum NGAL and CGRP levels were measured by ELISA.Influencing factors of poor prognosis of elderly patients with SCPI were analyzed by Multivariate logistic regression.Predicts value was analyzed by Receiver operating characteristic(ROC)curve.Results:Compared with good prognosis group,the poor prognosis group had higher of aged ≥ 70 years,incidence of hemorrhagic stroke,serum creatinine,white blood cell count,national institute of health stroke scale(NIHSS),platelet count,C-reactive protein,NGAL,and NLR levels,longer nerosurgery intensive care unit(NICU)stay,and lower CGRP levels(P＜0.05).Higher CGRP level was an independent protective factor of poor prognosis of elderly patients with SCPI(OR＜1,P＜0.05).Age ≥ 70 years,hemorrhagic stroke,longer NICU stay,higher NIHSS score,higher NGAL level and higher NLR were independent risk factors of poor prognosis of elderly patients with SCPI(OR＞1,P＜0.05).The area under the curve(AUC)for predicting the prognostic regression of elderly patients with SCPI used NGAL,CGRP,and NLR alone or in combination was 0.777,0.771,0.786,and 0.927,respectively,with the combination of three factors showed the highest predictive power(P＜0.05).Conclusion:Age ≥70 years,hemorrhagic stroke,longer NICU stay,higher NIHSS score,higher NGAL level and higher NLR are independent risk factors of poor prognosis of elderly patients with SCPI,while higher CGRP level is an independent protective factor.The combination detection of NGAL,CGRP and NLR can improve the predictive value of prognostic regression in elderly patients with SCPI.

Potassium-calcium activates channel subfamily N member 3(KCNN3/SK3/KCa2.3)is in-volved in regulating cellular calcium signaling,muscle contraction and neurotransmitter release.Dysregu-lation of the KCNN3 channel is associated with the development of various tumors.We use bioinformatics analysis to identify whether KCNN3 regulates the occurrence and development of stomach adenocarcinoma(STAD)as a prognostic target.By analyzing the Human Protein Atlas(HPA)database and The Cancer Genome Atlas(TCGA)database,we found that the protein and mRNA levels of KCNN3 were dramatic-ally reduced in STAD,and TCGA database showed that KCNN3 significantly correlated with the prognosis and clinical features of STAD.In addition,we found that high expression of KCNN3 in STAD reduced the IC50 of several drugs in STAD cells,suggesting that high expression of KCNN3 correlated with the drug sensitivity of STAD.To investigate the underlying biological mechanism,we identified a potential KCNN3 interaction factor,tumor necrosis factor receptor superfamily member 7(CD27/TNFRSF7),which is expressed at low levels in STAD.RT-qPCR and Western blotting confirmed that KCNN3 and CD27 positively correlated with each other at protein and mRNA levels,and co-immunoprecipitation and immunofluorescence experiments confirmed that the two proteins interact and colocalize in the cytoplasm.Moreover,we confirmed the inhibitory effect of KCNN3 on the proliferation,migration and invasion of hu-man STAD cells in vitro and in vivo through subcutaneous tumorigenesis and cellular experiments.Fur-thermore,GO/KEGG enrichment analysis showed that KCNN3 was enriched in signaling pathways regula-ting the immune response and calcium or metal ion transport.Lastly,we verified through cell co-culture,RT-qPCR and CCK8 assays that high expression of KCNN3 can promote the increase of T cell activating factor and the killing effect of T cells on STAD cells.Therefore,our results suggest that KCNN3 is a po-tential inhibitory factor affecting the occurrence and progression of STAD.

Objective To evaluate the effectiveness of implementing precise management for Da Vinci robotic surgical consumables under the Diagnosis Related Group(DRG)payment system.Methods This retrospective case-control study ana-lyzed 200 patients undergoing Da Vinci robotic lung resection surgery in a tertiary hospital:100 cases from May to June 2022 as the control group,and 100 cases from May to June 2023 with implemented precision management as the observation group.The control group did not implement the payment according to DRG,while the observers implemented payment according to DRG and optimized refined management of Da Vinci robotic surgical consumables.Hospitalization duration,intraoperative costs,and utili-zation of high-value consumables were compared between the two groups.Results No statistically significant differences(P＞0.05)were observed between the two groups in terms of gender,age,medical insurance status,operative time,or intraoperative blood loss.The observation group exhibited a significantly shorter hospitalization duration(8.29±4.13 vs.10.47±4.57 days;P＜0.05),and higher surgical costs[(11 366.81±2 504.23)RMB vs.(8 716.07.78±256.34)RMB,P＜0.05]compared with the control group.Conclusion DRG-oriented precision management optimizes resource utilization through shortened hospi-talization time and rationalizes cost allocation,and sustainable consumable consumption patterns,demonstrating effective balance between clinical quality and economic efficiency under healthcare payment reforms.

Objective:To explore the relationship between peripheral blood microRNA-29b (miR-29b), fibroblast growth factor 23 (FGF23), adiponectin (ADP) and disease progression as well as bone metabolism disorders in patients with chronic kidney disease (CKD).Methods:A total of 106 CKD patients diagnosed in the Department of Nephrology, the First People′s Hospital of Hefei from February 2022 to February 2024 were selected as the CKD group, and 103 healthy subjects who underwent physical examination during the same period were selected as the control group. Differences in peripheral blood miR-29b, ADP, FGF23, serum calcium, serum phosphorus, alkaline phosphatase (ALP), 25-hydroxyvitamin D, and renal function levels between the two groups were compared. The CKD group was stratified according to CKD stages, and the above indicators were compared. Simple linear correlation analysis was used to analyze the correlation between miR-29b, ADP, FGF23 and bone metabolism indicators.Results:The levels of peripheral blood ADP and FGF23 in the CKD group were higher than those in the control group, while the level of miR-29b was lower, with statistically significant differences (all P<0.05). The levels of serum phosphorus, ALP, serum creatinine, and 24-hour urinary protein in the CKD group were higher than those in the control group, while the levels of serum calcium and 25-hydroxyvitamin D were lower, with statistically significant differences (all P<0.05). Among the 106 CKD patients, there were 8 cases in CKD stage 1, 22 in stage 2, 38 in stage 3, 32 in stage 4, and 6 in stage 5. The levels of peripheral blood ADP and FGF23 in patients with CKD stages 4-5 were higher than those in patients with CKD stages 1-3, while the level of miR-29b was lower, with statistically significant differences (all P<0.05). The levels of serum phosphorus, ALP, serum creatinine, and 24-hour urinary protein in patients with CKD stages 4-5 were higher than those in patients with CKD stages 1-3, while the levels of serum calcium and 25-hydroxyvitamin D were lower, with statistically significant differences (all P<0.05). In CKD patients, peripheral blood miR-29b was positively correlated with serum calcium and 25-hydroxyvitamin D (all P<0.05), and negatively correlated with ALP ( P<0.05). Peripheral blood ADP in CKD patients was negatively correlated with serum calcium ( P<0.05) and positively correlated with ALP ( P<0.05). Peripheral blood FGF23 in CKD patients was negatively correlated with serum calcium ( P<0.05) and positively correlated with ALP ( P<0.05). Conclusions:The levels of peripheral blood ADP and FGF23 in CKD patients are significantly increased, and the level of miR-29b is significantly decreased, which are related to disease progression and bone metabolism disorders in CKD patients.

Objective To explore the association between nocturnal blood pressure decline rate and chronic heart failure(CHF).Methods In this study,a total of 711 individuals who underwent 24-h ambulatory blood pressure monitoring were divided into control group(n=433)and CHF group(n=278).The characteristics of the study population and nocturnal blood pressure decline rate were compared between CHF group and control group.Restricted spline analysis was utilized to examine the linear or non-linear association between nocturnal blood pressure decline rate and the prevalence of CHF.The relationship between nocturnal blood pressure decline rate and CHF was further investigated based on multivariable Logistic regression model.Results Nocturnal systolic blood pressure decline rate was significantly different in CHF group and control group[(3.3±7.1)mmHg vs.(5.0+6.7)mmHg,P=0.001].No significant difference in nocturnal diastolic blood pressure was found between the two groups[(5.7±7.6)mmHg vs.(6.8±7.2)mmHg,P=0.061].Restricted spline analysis showed a significant linear association between nocturnal systolic blood pressure decline rate and CHF risk.After adjusting for age,sex,smoking,body mass index,24-hour systolic blood pressure,24-hour diastolic blood pressure,type 2 diabetes mellitus and hyperlipidemia,multivariate Logistic regression analysis revealed that nocturnal systolic blood pressure decline rate was negatively associated with the prevalence of CHF(OR=0.97,95％CI:0.95-0.99;P=0.010).However,no significant association was found between nocturnal diastolic blood pressure decline rate and CHF risk.Conclusion Nocturnal systolic blood pressure decline rate is associated with the prevalence of CHF.Individuals with decreased nocturnal systolic blood pressure decline have a significantly increased risk of CHF.

Potassium-calcium activates channel subfamily N member 3(KCNN3/SK3/KCa2.3)is in-volved in regulating cellular calcium signaling,muscle contraction and neurotransmitter release.Dysregu-lation of the KCNN3 channel is associated with the development of various tumors.We use bioinformatics analysis to identify whether KCNN3 regulates the occurrence and development of stomach adenocarcinoma(STAD)as a prognostic target.By analyzing the Human Protein Atlas(HPA)database and The Cancer Genome Atlas(TCGA)database,we found that the protein and mRNA levels of KCNN3 were dramatic-ally reduced in STAD,and TCGA database showed that KCNN3 significantly correlated with the prognosis and clinical features of STAD.In addition,we found that high expression of KCNN3 in STAD reduced the IC50 of several drugs in STAD cells,suggesting that high expression of KCNN3 correlated with the drug sensitivity of STAD.To investigate the underlying biological mechanism,we identified a potential KCNN3 interaction factor,tumor necrosis factor receptor superfamily member 7(CD27/TNFRSF7),which is expressed at low levels in STAD.RT-qPCR and Western blotting confirmed that KCNN3 and CD27 positively correlated with each other at protein and mRNA levels,and co-immunoprecipitation and immunofluorescence experiments confirmed that the two proteins interact and colocalize in the cytoplasm.Moreover,we confirmed the inhibitory effect of KCNN3 on the proliferation,migration and invasion of hu-man STAD cells in vitro and in vivo through subcutaneous tumorigenesis and cellular experiments.Fur-thermore,GO/KEGG enrichment analysis showed that KCNN3 was enriched in signaling pathways regula-ting the immune response and calcium or metal ion transport.Lastly,we verified through cell co-culture,RT-qPCR and CCK8 assays that high expression of KCNN3 can promote the increase of T cell activating factor and the killing effect of T cells on STAD cells.Therefore,our results suggest that KCNN3 is a po-tential inhibitory factor affecting the occurrence and progression of STAD.

Objective:To evaluate the feasibility and efficacy of our self-designed intelligent robot-assisted reduction system for fresh subtrochanteric fractures of the femur.Methods:A retrospective cohort study was conducted to include 10 patients with fresh subtrochanteric fracture of the femur who had been admitted to Department of Orthopedic Trauma, Beijing Jishuitan Hospital from January 2024 to July 2024. There were 7 males and 3 females with an age of (45.0±14.3) years and an interval from injury to surgery of (7.9±3.7) d. All the patients were treated by minimally invasive reduction which was assisted by our self-designed intelligent robot, and internal fixation with intramedullary nails. The operation duration, intraoperative reduction duration, intraoperative blood loss, and intraoperative fluoroscopy frequency were recorded. The reduction effect was evaluated by calculating the differences between preoperative planning and postoperative CT reconstruction (i.e., the differences in femoral shaft length and in rotation angle). The hip functional recovery was assessed by Harris hip function Scoring.Results:The mean operation time was 200.0 (161.3, 217.5) min, the reduction time (83.0±35.5) min, the intraoperative blood loss (290.0±110.1) mL, and the intraoperative fluoroscopy 18.5 (9.0, 19.3) times. In all patients, the difference in femoral shaft length was (2.4±1.4) mm, and the difference in rotation angle 5.1°±3.0°. All patients were followed up for (8.2±2.0)months. All the fractures got united at the last follow-up. Their Harris hip function score was (83.3±4.1) points.Conclusion:Our self-designed intelligent robot-assisted reduction system is feasible and effective in the surgery of fresh subtrochanteric fracture of the femur, because the robot system can complete the autonomous planning of reduction approaches before surgery and assist fracture reduction under real-time monitoring with three-dimensional images, leading to fine outcomes.