Renal Fanconi syndrome (FS) is a rare renal manifestation of primary Sjögren's syndrome (pSS). This study aims to analyze the clinical and prognostic characteristics of patients with pSS-associated renal FS (pSS-FS) and provide insights for clinical management.

ObjectiveThe present study aimed to investigate alterations in white matter microstructure and spontaneous neural activity in male college smokers, and to further explore their associations with nicotine dependence. Given that adolescence and early adulthood represent critical periods for brain maturation, particularly for white matter development, understanding the neural correlates of smoking behavior during this stage is of substantial importance for both neuroscience and public health. MethodsA total of 115 male undergraduate students were initially recruited for this study. After quality control and exclusion procedures, 52 male college smokers and 42 demographically matched healthy non-smokers were included in the final analysis. All participants underwent multimodal magnetic resonance imaging (MRI), including diffusion tensor imaging (DTI) and resting-state functional MRI (rs-fMRI). White matter fiber tracts were reconstructed using the automated fiber quantification (AFQ) method, which enables precise identification and quantification of major fiber bundles. Eighteen major white matter tracts were segmented for each participant. Along the core trajectory of each tract, 100 equidistant nodes were sampled. Fractional anisotropy (FA) was calculated at each node to assess white matter microstructural integrity, while amplitude of low-frequency fluctuation (ALFF) was computed to evaluate spontaneous neural activity within white matter tracts. Between-group differences in FA and ALFF were assessed using two-sample t-tests, with appropriate corrections applied for multiple comparisons. Furthermore, Pearson correlation analyses were conducted to examine the relationships between imaging-derived metrics (FA and ALFF values in regions showing significant group differences) and nicotine dependence severity, as measured by the Fagerström test for nicotine dependence (FTND). ResultsCompared with healthy non-smokers, male college smokers exhibited significantly increased FA values in several white matter tracts, including the left thalamic radiation, right corticospinal tract, forceps major of the corpus callosum, left uncinate fasciculus, and right arcuate fasciculus. These findings suggest altered microstructural organization or increased directional coherence within these pathways. In addition, smokers demonstrated significantly elevated ALFF values in the forceps major, right uncinate fasciculus, and left arcuate fasciculus, indicating enhanced spontaneous neural activity in these white matter regions. Correlation analyses revealed that FA values in the left thalamic radiation and right corticospinal tract were negatively correlated with FTND scores, suggesting that higher levels of nicotine dependence were associated with reduced microstructural integrity or altered fiber organization in these regions. In contrast, ALFF values in the forceps major and right uncinate fasciculus were positively correlated with FTND scores, indicating that greater nicotine dependence was associated with increased spontaneous neural activity in specific white matter pathways. ConclusionThe present study provides evidence that male college smokers exhibit distinct alterations in both white matter microstructure and functional activity. These abnormalities are not uniformly distributed but rather localized to specific fiber tracts implicated in sensorimotor processing, interhemispheric communication, and higher-order cognitive and emotional regulation. Importantly, the observed associations between imaging metrics and nicotine dependence severity suggest that these structural and functional alterations may reflect neurobiological mechanisms underlying addiction. The combination of AFQ-based tract profiling and multimodal MRI offers a sensitive approach for detecting subtle changes along white matter pathways, highlighting its potential utility in identifying neuroimaging biomarkers of nicotine dependence. Overall, these findings indicate that smoking during early adulthood may disrupt ongoing white matter maturation, potentially leading to long-term consequences for brain function. This study provides novel insights into the neural basis of nicotine dependence and underscores the importance of early intervention and prevention strategies targeting young smokers.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

OBJECTIVE: Gastric cancer (GC) is one of the most common malignancies seen in clinic and requires novel treatment options. Morin is a natural flavonoid extracted from the flower stalk of a highly valuable medicinal plant Prunella vulgaris L., which exhibits an anti-cancer effect in multiple types of tumors. However, the therapeutic effect and underlying mechanism of morin in treating GC remains elusive. The study aims to explore the therapeutic effect and underlying molecular mechanisms of morin in GC. METHODS: For in vitro experiments, the proliferation inhibition of morin was measured by cell counting kit-8 assay and colony formation assay in human GC cell line MKN45, human gastric adenocarcinoma cell line AGS, and human gastric epithelial cell line GES-1; for apoptosis analysis, microscopic photography, Western blotting, ubiquitination analysis, quantitative polymerase chain reaction analysis, flow cytometry, and RNA interference technology were employed. For in vivo studies, immunohistochemistry, biomedical analysis, and Western blotting were used to assess the efficacy and safety of morin in a xenograft mouse model of GC. RESULTS: Morin significantly inhibited the proliferation of GC cells MKN45 and AGS in a dose- and time-dependent manner, but did not inhibit human gastric epithelial cells GES-1. Only the caspase inhibitor Z-VAD-FMK was able to significantly reverse the inhibition of proliferation by morin in both GC cells, suggesting that apoptosis was the main type of cell death during the treatment. Morin induced intrinsic apoptosis in a dose-dependent manner in GC cells, which mainly relied on B cell leukemia/lymphoma 2 (BCL-2) associated agonist of cell death (BAD) but not phorbol-12-myristate-13-acetate-induced protein 1. The upregulation of BAD by morin was due to blocking the ubiquitination degradation of BAD, rather than the transcription regulation and the phosphorylation of BAD. Furthermore, the combination of morin and BCL-2 inhibitor navitoclax (also known as ABT-737) produced a synergistic inhibitory effect in GC cells through amplifying apoptotic signals. In addition, morin treatment significantly suppressed the growth of GC in vivo by upregulating BAD and the subsequent activation of its downstream apoptosis pathway. CONCLUSION Morin suppressed GC by inducing apoptosis, which was mainly due to blocking the ubiquitination-based degradation of the pro-apoptotic protein BAD. The combination of morin and the BCL-2 inhibitor ABT-737 synergistically amplified apoptotic signals in GC cells, which may overcome the drug resistance of the BCL-2 inhibitor. These findings indicated that morin was a potent and promising agent for GC treatment. Please cite this article as: Wang Y, Sun XY, Ma FQ, Ren MM, Zhao RH, Qin MM, Zhu XH, Xu Y, Cao ND, Chen YY, Dong TG, Pan YF, Zhao AG. Morin inhibits ubiquitination degradation of BCL-2 associated agonist of cell death and synergizes with BCL-2 inhibitor in gastric cancer cells. J Integr Med. 2025; 23(3): 320-332.
Humans ; Flavonoids/therapeutic use* ; Stomach Neoplasms/pathology* ; Animals ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Cell Line, Tumor ; Apoptosis/drug effects* ; Cell Proliferation/drug effects* ; Ubiquitination/drug effects* ; Mice ; Drug Synergism ; Mice, Inbred BALB C ; Mice, Nude ; Xenograft Model Antitumor Assays ; Flavones

Objective:To evaluate the levels and source of cadmium exposure by dietary pathway among middle-aged and elderly people ≥40 in cadmium-contaminated areas of China.Methods:A total of 7 193 people aged 40-89 years from four typical cadmium-contaminated areas in China were selected as the study subjects. Food Frequency Questionnaire (FFQ), Total Diet Study (TDS) and a 3-day-24-hour dietary recall survey were conducted. Dietary cadmium intake and food sources through dietary pathways were assessed based on cadmium content in foods, consumption amounts and intake frequencies.Results:The mean age of the participants was 63.39±12.21 years, with 50.05% being males. The average monthly dietary cadmium intake was 7.39 μg/(kg·BW). Staple foods and vegetables were the primary sources of dietary cadmium intake, accounting for 57.51% and 32.48%, respectively. The monthly dietary cadmium intake in all surveyed regions did not exceed the Provisional Tolerable Monthly Intake (PTMI) recommended by the Joint FAO/WHO Expert Committee on Food Additives (JECFA).Conclusion:The monthly dietary cadmium intake among middle-aged and elderly people in cadmium-contaminated areas of China is relatively low, with the risk remaining at an acceptable level. Staple foods and vegetables are the most significant contributors to dietary cadmium intake.

AIM:This study aimed to investigate the effect of ischemic post-conditioning(I-post-C)on lung ischemia-reperfusion injury(LIRI)in rats and relationship between I-post-C and zinc homeostasis.METHODS:SPF SD rats(6～8 weeks old)were randomly divided into four groups,with eight rats in each group:control group,ischemia/reper-fusion(I/R)group,I-post-C group and I-post-C+zinc ion chelator TPEN group.Inductively coupled plasma mass spec-trometry(ICP-MS)was used to measure the concentration of zinc ions in lung tissues.HE staining,lung wet/dry weight ra-tio(W/D),total lung water content(TLW),and index of quantitative assessment(IQA)of lung injury were used to detect the degree of lung tissue injury in each group.Mitochondrial membrane potential was measured using extraction and JC-1 mitochondrial membrane potential detection kits.TUNEL assay was used to detect the level of apoptosis in lung tissues.Western blot was used to detect the protein expression levels of caspase-3,solute carrier family 39 member 8(SLC39A8/ZIP8),solute carrier family 30 member 9(SLC30A9/ZNT9),and PI3K/AKT/GSK-3β in lung tissues of each group.RT-qPCR was used to detect ZIP8 and ZNT9.RESULTS:Compared to the control group,the I/R group showed significantly aggravated lung tissue injury(P<0.01),decreased zinc ion levels(P<0.01),enhanced cell apoptosis(P<0.05),re-duced mitochondrial membrane potential(P<0.01),decreased PI3K/AKT/GSK-3β phosphorylation levels(P<0.05,P<0.01),increased cleaved caspase-3/pro-caspase-3 ratio(P<0.01),and reduced ZIP8 expression(P<0.05).Compared to the I/R group,the I-post-C group exhibited alleviated injury(P<0.05 or P<0.01),increased zinc ion levels(P<0.01),reduced apoptosis(P<0.01),restored mitochondrial membrane potential(P<0.01),elevated PI3K/AKT/GSK-3β phosphorylation levels(P<0.05,P<0.01),decreased cleaved caspase-3/pro-caspase-3 ratio(P<0.05),and in-creased ZIP8 expression(P<0.05).Compared to the I-post-C group,the I-post-C+TPEN group demonstrated aggravated injury(P<0.01),decreased zinc ion levels(P<0.01),enhanced apoptosis(P<0.01),reduced mitochondrial membrane potential(P<0.05),decreased PI3K/AKT/GSK-3β phosphorylation levels(P<0.05,P<0.01),increased cleaved cas-pase-3/pro-caspase-3 ratio(P<0.05),and reduced ZIP8 expression(P<0.05).ZNT9 expression showed no significant differences among the groups(P>0.05).CONCLUSION:Ischemic postconditioning can improve LIRI by regulating zinc homeostasis,activating PI3K/AKT signaling pathway,inactivating glycogen synthase kinase 3β,inhibiting the de-cline of mitochondrial membrane potential,and antagonizing cell apoptosis in rats.

Objectives:The aim of this study was to investigate the value of assessing Selvester QRS score in evaluating myocardial fibrosis in hypertrophic cardiomyopathy(HCM)patients.Methods:A total of consecutive 149 patients with HCM,who were admitted in Fuwai Hospital from October 2008 to September 2013,were enrolled in this study.Qualitative and quantitative analyses of myocardial fibrosis were conducted based on late gadolinium enhancement(LGE)derived from enhanced cardiac magnetic resonance imaging(CMR).According to the qualitative analysis of myocardial fibrosis by CMR-LGE,the patients were divided into the LGE-negative group(n=46)and the LGE-positive group(n=103).Standard 12-lead electrocardiogram examination was performed and the Selvester QRS score was calculated.Multivariate binary Logistic regression analysis was used to analyze the predictive factors of positive LGE,and the correlation analysis between the Selvester QRS score and the LGE score was also performed.Results:Compared with the LGE-negative group,the proportion of patients with a family history of HCM(12.8%vs.28.2%),the proportion of patients with a positive Selvester QRS score(65.2%vs.83.5%)and the Selvester QRS score([1.65±1.81]points vs.[5.71±3.80]points)were higher,the maximum thickness of the left ventricular wall([20.5±3.2]mm vs.[24.5±5.0]mm)and the percentage of left ventricular myocardial scar area([5.0±5.5]%vs.[17.1±11.4]%)were larger in the LGE-positive group(all P<0.05).Multivariate binary logistic regression analysis showed that the Selvester QRS score(OR=1.429,95%CI:1.128-1.802,P=0.003)and the maximum left ventricular wall thickness(OR=1.257,95%CI:1.029-1.537,P=0.025)were independent predictors of positive LGE.Pearson correlation analysis showed that in all HCM patients,the Selvester QRS score was positively correlated with the LGE score(r=0.682,P<0.001),and the percentage of left ventricular myocardial scar area was positively correlated with the percentage of enhanced area to the total mass of left ventricular myocardium(LGE%)(r=0.682,P<0.001);In the LGE positive group,the Selvester QRS score was positively correlated with the LGE score(r=0.569,P<0.001).Receiver operating characteristic(ROC)curve analysis showed that the optimal cut-off values of Selvester QRS score and maximum left ventricular wall thickness for predicting positive LGE were≥3.5 points and≥21 mm,respectively.Conclusions:In HCM patients,the Selvester QRS score is significantly associated with myocardial fibrosis,and the total score≥3.5 serves as a good predictive cutoffvalue for identifying the presence of LGE.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

Objective:This study investigated the underlying causes of discordance between multiplex fluorescence polymerase chain reaction (PCR)-capillary electrophoresis in determining MSI and immunohistochemistry (IHC) for mismatch repair (MMR) protein evaluation in gastrointestinal adenocarcinomas, aiming to improve interpretation accuracy and guide clinical precision treatment strategies.Methods:A retrospective analysis was conducted on 511 surgically resected or biopsied specimens (161 gastric adenocarcinomas and 350 colorectal adenocarcinomas) diagnosed at the Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January to June 2024. MMR protein expression of tumors was evaluated by IHC, while MSI status was assessed using the 2B3D National Cancer Institute (NCI) Panel through multiplex fluorescence PCR-capillary electrophoresis on tumor DNA and matched normal DNA. The concordance between the two methods was analyzed, and factors contributing to the discordance were investigated. Cases with unstable dinucleotide loci only in the 2B3D NCI Panel, focal MMR protein loss, or unexplained discrepancies underwent validation using the non-NCI Panel through multiplex fluorescence PCR-capillary electrophoresis markers or next-generation sequencing (NGS).Results:In the 511 gastrointestinal adenocarcinomas, the results of the two methods were discordant in 15 cases (2.9%), with a significantly higher discordantrate in gastric cancers (7.5%, 12/161) compared to colorectal cancers (0.9%, 3/350; P＜0.001). Key contributors to the discordance included: sampling limitations (6 cases), 2B3D NCI Panel design constraints (3 cases),tumor heterogeneity (3 cases),isolated MSH6 deficiency (1 case),and unexplained discrepancies (2 cases).Validation studies demonstrated that cases with dinucleotide-only instability showed concordance with IHC after using the non-NCI Panel through multiplex fluorescence PCR-capillary electrophoresis and NGS verifications. Specimens with focal MMR protein loss and unexplained discrepancies aligned with initial PCR results upon NGS validation. Unexplained cases harbored Kirsten rat sarcoma class Ⅰ variants and multiple class Ⅱ genetic alterations. Conclusions:Colorectal adenocarcinoma demonstrated higher concordance between PCR-capillary electrophoresis and IHC than gastric adenocarcinoma.Discordant results require systematic evaluation including technical review, specimen quality control, and supplemental NGS analysis to resolve discrepancies.