The doublecortin (DCX) gene encodes DCX, a microtubule-associated protein that plays a crucial role in brain development. DCX variants can disrupt microtubule binding and stabilization, interfere with intracellular transport, and affect post-translational modifications. A correlation exists between variant types and clinical severity. Animal models and induced pluripotent stem cell (iPSC) models simulating DCX deficiency revealed the dynamic progression of the disease, which has provided a powerful tool for investigating disease mechanisms and screening therapeutic agents. Currently there is no cure for DCX variants, with treatment primarily relying on anti-epileptic drugs and symptom management. Basic research is now offering new avenues for future therapeutic approaches. This article has summarized the potential pathogenic mechanisms and therapeutic strategies for the DCX variants, with an aim to provide insights for clinical treatment.
Humans ; Doublecortin Protein ; Doublecortin Domain Proteins ; Animals ; Neuropeptides/metabolism* ; Microtubule-Associated Proteins/metabolism* ; Mutation

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.

Traditional Chinese medicine and Western medicine exhibit significant differences in their modes of thinking， yet this very distinction creates opportunities for their mutual learning and integration. TCM ethics are grounded in the robust theoretical and practical foundations of TCM. From the three-dimensional ethical perspective of cognition， decision-making， and treatment， it demonstrates prominent characteristics in the cognitive regulation of “taking images to operate numbers，” the decision-making principle of “treatment based on syndrome differentiation，” and the therapeutic criteria of “harmony between humanity and nature.” TCM and Western medicine possess distinct features in image-based thinking and reductionism， dynamic nonlinearity and static linearity， as well as holism and antagonism， influencing how they address doctor-society， doctor-doctor， and doctor-patient relationships. Furthermore， the integration of TCM and Western medicine can foster mutual learning and allow them to complement each other’s strengths. Against the backdrop of growing emphasis on TCM modernization and the steady advancement of the Healthy China initiative， enhancing the healthcare system’s adaptability to diverse health demands is crucial. Efforts should be made to promote proper subject-object regulations in the doctor-society relationship， a harmonious yet competitive plurality in the doctor-doctor relationship， and harmonious coexistence in the doctor-patient relationship. It is also essential to uphold the parallel progression of ethical reflection and practical exploration， thereby providing ethical support for the further development of integrated Chinese and Western medicine.

Objective To investigate the impact of nucleophosmin 1-mutated(NPM1m)subtypes,variant allele frequency(VAF)and co-mutations on the survival outcomes of patients with acute myeloid leukemia(AML).Methods Clinical data,mutation status,and outcomes of 86 NPM1m-AML patients admitted in Department of Hematology,First Hospital of Lanzhou University between June 2017 and September 2024 were collected and retrospectively analyzed.Spearman correlation analysis,Kaplan-Meier curve analysis,Log-rank test,and Cox regression analysis was applied for correlation analysis,survival analysis,and factors affecting survival.Results The overall survival(OS)was significantly shorter in the Rares subtype of NPM1m than the ABD subtype(median OS:164 d vs 416 d,P=0.043).The VAF of NPM1m was positively correlated with the initial peripheral blood white blood cell count and lactate dehydrogenase(LDH)level(P<0.05).OS was reduced when VAF was≥0.37(median OS:164 d vs 730 d,P=0.003).The presence of myelodysplasia-related gene(MR)mutations was associated with a poorer prognosis when compared to the MR wild-type(median OS:45 d vs 395 d,P<0.001).The triple mutation of FMS-like tyrosine kinase 3-internal tandem duplication(FLT3-ITD)and DNMT3A also indicated a worse prognosis than the non-triple mutation(median OS:173 d vs 483 d,P=0.007).The presence of PTPN11 mutations was associated with improved OS(median OS:395 d vs 240 d,P=0.027),while the patients with coexistence of N/KRAS mutations trended toward better prognosis than the wild-type patients(median OS:662 d vs 189 d)though no statistical significance(P=0.070).Multivariate analysis revealed that LDH(HR=1.002,95%CI:1.000～1.003,P=0.005),NPM1m VAF(HR=2.415,95%CI:1.208～4.829,P=0.013),Rares subtype(HR=3.037,95%CI:1.134～8.136,P=0.027),and MR mutations(HR=5.283,95%CI:1.991～14.017,P<0.001)were independent risk factors associated with OS in the patients.Conclusion Molecular heterogeneity of NPM1m should be taken into account in prognostic stratification of NPM1m-AML.Factors including the Rares subtype,VAF≥0.37,coexistence of FLT3-ITD and DNMT3A mutations,and MR mutations are associated with poor prognosis of NPM1m-AML.The presence of PTPN11 mutations improves the prognosis,while the presence of N/KRAS mutations shows a trend toward better prognosis.LDH,NPM1m VAF,Rares subtype,and MR mutations are independent risk factors affecting OS of patients with NPM1m-AML.

Near infrared spectroscopy(NIRS)technology has been widely applied in quantitative analysis of pharmaceuticals,food,and chemical industries.In this study,a NIRS quantitative analysis model(MDCSpecNet)based on a multi-scale dilated convolutional neural network was proposed.The model consisted of a one-dimensional convolutional layer,a batch normalization layer,a max-pooling layer,a multi-scale dilated convolutional neural network,and a full-connected layer.Among which,the one-dimensional convolutional layer and the max-pooling layer performed preliminary featured extraction and dimensionality reduction on the original spectra,the batch normalization layer accelerated the convergence of the model,the multi-scale dilated convolutional neural network extracted and fused spectral features,and the fully-connected layer linearly represented the feature information,enhancing the model's prediction accuracy and generalization ability.MDCSpecNet prediction models were established using publicly available NIRS datasets of pharmaceuticals,grains,wheat,milk,and gasoline.The prediction results were compared and analyzed with those of one dimensional convolution neural network(1D-CNN),partial least squares(PLS),support vector regression(SVR),and extreme learning machine regression(ELM)modeling methods.The results showed that,in prediction of the content of active pharmaceutical ingredient(API)in pharmaceuticals,the glucose content in grains,the lactate content in grains,the moisture content in grains,the protein content in wheat,the octane number in gasoline and the cloud point of melamine,the accuracy of the MDCSpecNet model increased by 16%,36.7%,25.1%,22.6%,34.2%,15.2%and 22.6%compared to 1D-CNN,46.9%,66.7%,73.2%,65.8%,16.6%,15.9%and 13.7%compared to PLS,68.1%,70.6%,81.7%,73.9%,69.2%,77.9%and 56%compared to SVR,and 62%,20.4%,48.9%,85.6%,50.4%,13%and 44.6%compared to ELM,respectively.The MDCSpecNet model based on the multi-scale dilated convolutional neural network addressed the issues of low accuracy and poor generalization ability of traditional NIRS modeling methods,and it was feasible to use the MDCSpecNet model for quantitative analysis of NIRS of various substances.

A method was developed for determination of dilauryl thiodipropionate(DLTDP)in fried foods by coupling solid-phase extraction(SPE)pretreatment with reverse-phase liquid chromatography-tandem mass spectrometry(RPLC-MS/MS)detection.Samples were extracted with n-hexane as the solvent,purified using a neutral alumina SPE cartridge,and finally analyzed by RPLC-MS/MS.Quantitative analysis was performed using matrix-matched calibration curves combined with an external standard method under optimal experimental conditions.The results showed that DLTDP exhibited good linearity in the range of 2.0-50.0 μg/L,with a correlation coefficient(R2)≥0.999.The limit of detection(LOD)and the limit of quantification(LOQ)of the method were 0.15 mg/kg and 0.5 mg/kg,respectively.The mean recoveries at three fortification levels(0.5,1.0,and 200 mg/kg)in different samples ranged from 84.8%to 96.8%,with the relative standard deviations(RSDs)all less than 8.0%.The developed method was highly sensitive,accurate and reliable,and easy to operate,making it well suited for the routine quantitative analysis of DLTDP in fried foods.

Thyroid hormone（TH）plays an important role in human development and is involved in gene and protein expression in almost all tissues，especially in the development of the central nervous system.TH requires a TH transporter to enter the cell，and three families of TH transporter proteins are known，namely monocarboxylate transporters（MCTs），organic anion transporting polypeptides（OATPs）and L-type amino acid transporter（LAT）.MCT8 has been found to be a specific TH transporter，and OATP1C1 also plays an important role.Deficiency of TH transporters may lead to different degrees of dysfunction in the nervous system and endocrine system.Currently，more studies have been conducted on MCT8 deficiency，which presents with characteristic psychomotor retardation and TH abnormalities，and there are no specific treatment options.In this paper，we summarize the research progress on clinical phenotype，pathogenic mechanism，and treatment of thyroid hormone transporter defects related diseases to provide reference for clinical research.

Objective To evaluate the value of combined detection of serum fibrinogen/albumin ratio(FAR)and milk fat globule epidermal growth factor 8(MFG-E8)in predicting the fetal protection outcome of threatened abortion patients.Methods From May 2022 to May 2023,a total of 89 patients with threatened abortion who received fetal protection treatment in Jianli People's Hospital were regarded as the observation group.They were grouped into a miscarriage group(19 cases)and a successful group(70 cases)based on the fetal protection outcomes.89 normal pregnant women who underwent prenatal examinations were regarded as the control group.Enzyme-linked immunosorbent assay was applied to detect the levels of serum fibrinogen,albumin and MFG-E8.Multivariate Logistic regression was applied to analyze the influencing factors on the fe-tal protection outcome of patients with threatened abortion.Receiver operating characteristic(ROC)curve was applied to analyze the predictive value of serum FAR and MFG-E8 level on the fetal protection outcome of patients with threatened abortion.Results Compared with the control group,serum FAR was higher in the observation group(P<0.05)and serum MFG-E8 level was lower(P<0.05).The proportion of thyroid dys-function,serum C-reactive protein(CRP),and FAR in the miscarriage group were higher than those in the successful group(P<0.05),while serum MFG-E8 level was lower than that in the successful group(P<0.05).Serum FAR,CRP and thyroid dysfunction were risk factors for fetal protection outcome of patients with threatened abortion,while serum MFG-E8 was a protective factor for fetal protection outcome of patients with threatened abortion(P<0.05).The area under the curve(AUC)of serum FAR,MFG-E8,and their combination in predicting the fetal protection outcome of patients with threatened abortion was 0.787,0.853,and 0.954,respectively,and the efficacy of combination of the two in predicting the fetal protection outcome of patients with threatened abortion was better than that of serum FAR and MFG-E8 alone(Zcombination-FAR=2.805,Zcombination-MFG-E8=2.076,P=0.005,0.038),with sensitivity and specificity of 94.74%and 88.57%,re-spectively.Conclusion Serum FAR increases and MFG-E8 level decreases of patients with threatened abor-tion,and the combination of the two has higher predictive value for the fetal protection outcome of patients with threatened abortion.

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.

AIM:To investigate the association between single nucleotide polymorphisms(SNPs)in the silent information regulator 1(SIRT1)gene and breast cancer risk in the Han Chinese population.METHODS:A total of 105 Han Chinese patients with breast cancer and 90 healthy controls were enrolled.Sequenom MassARRAY was used to detect the genotypes of SIRT1 gene loci,rs3740051,rs3758391,rs12778366 and rs2394443.The Hardy-Weinberg equilibrium(HWE)was analysed using the chi-square test.Multivariate logistic regression was employed to analyze the correlation be-tween each SNP and breast cancer susceptibility,as well as the relationship between the rs3758391 genotype and the clini-copathological characteristics of breast cancer in Han Chinese women.SHEsis software was used to assess linkage disequi-librium and haplotypes of the selected SNPs.The impact of genotypes at rs3758391 locus on SIRT1 protein expression was examined using Western blot.An additional 150 Han Chinese women with breast cancer and 150 healthy controls were en-rolled,and SIRT1 protein expression was assessed using immunohistochemistry.Logistic regression was performed to as-sess the relationship between high and low SIRT1 expression and the clinical characteristics of breast cancer.Kaplan-Mei-er website was used to determine the association between SIRT1 expression and patient prognosis.RESULTS:All four SNP loci conformed to the HWE test(P>0.05).The TC/TC+CC genotype of the SIRT1 rs3758391 locus significantly re-duced the risk of breast cancer compared with the TT genotype(TT vs TC:ORadj=0.348,95%CI:0.157～0.773,Padj=0.010;TT vs TC+CC:ORadj=0.381,95%CI:0.179～0.811,Padj=0.012),and correlated with earlier disease course(stage I/II),smaller tumor volume,and higher SIRT1 protein expression levels(P<0.05).SIRT1 expression was signifi-cantly lower in breast cancer tissues,and low SIRT1 expression was associated with larger tumor size,lymph node metasta-sis,and reduced recurrence-free survival(P<0.05).CONCLUSION:The TC/TC+CC genotype of the SIRT1 rs3758391 locus may be a protective factor for breast cancer in Han Chinese women,potentially reducing the risk of breast cancer and delaying disease progression by regulating SIRT1 expression.In addition,SIRT1 expression level is closely related to the clinical characteristics and prognosis of breast cancer.