Brain-computer interface (BCI) has high application value in the field of healthcare. However, in practical clinical applications, convenience and system performance should be considered in the use of BCI. Wearable BCIs are generally with high convenience, but their performance in real-life scenario needs to be evaluated. This study proposed a wearable steady-state visual evoked potential (SSVEP)-based BCI system equipped with a small-sized electroencephalogram (EEG) collector and a high-performance training-free decoding algorithm. Ten healthy subjects participated in the test of BCI system under simplified experimental preparation. The results showed that the average classification accuracy of this BCI was 94.10% for 40 targets, and there was no significant difference compared to the dataset collected under the laboratory condition. The system achieved a maximum information transfer rate (ITR) of 115.25 bit/min with 8-channel signal and 98.49 bit/min with 4-channel signal, indicating that the 4-channel solution can be used as an option for the few-channel BCI. Overall, this wearable SSVEP-BCI can achieve good performance in real-life scenario, which helps to promote BCI technology in clinical practice.
Brain-Computer Interfaces ; Humans ; Evoked Potentials, Visual/physiology* ; Electroencephalography ; Wearable Electronic Devices ; Algorithms ; Signal Processing, Computer-Assisted ; Adult ; Male

BACKGROUND: Lung adenocarcinoma is an important pathohistologic subtype of non-small cell lung cancer (NSCLC). Invasive non-mucinous pulmonary adenocarcinomas (INMA) tend to have a poor prognosis due to their significant heterogeneity and diverse histologic components. Establishing a histologic grading system for INMA is crucial for evaluating its malignancy. In 2021, the International Association for the Study of Lung Cancer (IASLC) proposed that a new histological grading system could better stratify the prognosis of INMA patients. The aim of this study was to establish a visualized nomogram model to predict INMA IASLC grading preoperatively by means of dual-energy computed tomography (DECT), fractal dimension (FD), clinical features and conventional CT parameters. METHODS: A total of 112 patients with INMA who underwent preoperative DECT were retrospectively enrolled from March 2021 to January 2025. Patients were categorized into low-intermediate grade and high grade groups based on IASLC grading. The clinical characteristics and conventional CT parameters, including baseline features, biochemical markers, and serum tumor markers, were collected. DECT-derived parameters, including iodine concentration (IC), effective atomic number (eff-Z), and normalized IC (NIC), were collected and determined as NIC ratio (NICr) and fractal dimension (FD). Univariate analysis was employed to compare differences in conventional characteristics and DECT parameters between the two groups. Variables demonstrating statistical significance were subsequently incorporated into a multivariate Logistic regression analysis. A nomogram model integrating clinical data, conventional CT parameters, and DECT parameters was developed to identify independent predictors for IASLC grading of INMA. The discriminatory performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS: Multivariate analysis identified smoking history [odds ratio (OR)=2.848, P=0.041], lobulation sign (OR=2.163, P=0.004), air bronchogram (OR=7.833, P=0.005), eff-Z in arterial phase (OR=4.266, P<0.001), and IC in arterial phase (OR=1.290, P=0.012) as independent and significant predictors for IASLC grading of INMA. The nomogram model constructed based on these indicators demonstrated optimal predictive performance, achieving an area under the curve (AUC) of 0.804 (95%CI: 0.725-0.883), with specificity and sensitivity of 85.3% and 65.7%, respectively. CONCLUSIONS The nomogram model based on clinical features, imaging features and spectral CT parameters have a large potential for application in the preoperative noninvasive assessment of INMA IASLC grading.
Humans ; Nomograms ; Female ; Male ; Middle Aged ; Tomography, X-Ray Computed/methods* ; Lung Neoplasms/pathology* ; Aged ; Retrospective Studies ; Adenocarcinoma of Lung/pathology* ; Neoplasm Grading ; Adult

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

OBJECTIVES: To investigate the impact of prenatal fear stress on placental amino acid transport and emotion and cognition development in offspring rats. METHODS: Thirty pregnant Wistar rats were randomized equally into control and fear stress (induced using an observational foot shock model) groups. In each group, placental and serum samples were collected from 6 dams on gestational day 20, and the remaining rats delivered naturally and the offspring rats were raised under the same conditions until 8 weeks of age. Emotional and cognitive outcomes of the offspring rats were assessed with behavioral tests, and placental structure was examined using HE staining. Bioinformatics analysis was used to identify differentially expressed placental transporter genes under fear stress. The expressions of system A and system L amino acid transporters, along with other specialized transporters, were detected using qRT-PCR and Western blotting. Fetal serum amino acid concentrations were determined by HPLC. The correlations between fetal amino acid levels and behavioral outcomes of the offspring rats were analyzed. RESULTS: The dams with fear stress showed reduced open-field activity and increased freezing behavior with significantly decreased placental weight, fetal weight, and fetal-to-placental ratio. Bioinformatics analysis revealed 28 differentially expressed transporter genes involved mainly in amino acid transport. In the fear stress group, fetal serum amino acid levels were significantly lowered and Slc38a1, Slc43a1, Slc43a2, Slc7a8, Slc6a6, Slc1a1 and Slc6a9 mRNA and protein expressions were all downregulated. The offspring rats in fear stress group exhibited decreased novel object preference and spontaneous alternation with reduced open arm exploration and increased immobility in emotional tests. Lower early-life amino acid levels was found to correlate with impaired adult cognition. CONCLUSIONS Prenatal fear stress in rats impairs placental amino acid transporter expression and reduces fetal serum amino acid levels, potentially contributing to long-term cognitive deficits in the offspring rats.
Animals ; Female ; Pregnancy ; Placenta/metabolism* ; Fear ; Rats ; Rats, Wistar ; Cognition ; Prenatal Exposure Delayed Effects ; Stress, Psychological ; Amino Acids/blood* ; Amino Acid Transport Systems/metabolism*

Elemene is widely recognized as an effective anti-cancer compound and is routinely administered in Chinese clinical settings for the management of several solid tumors, including non-small cell lung cancer (NSCLC). However, its detailed molecular mechanism has not been adequately demonstrated. In this research, it was demonstrated that elemene effectively curtailed NSCLC growth in the patient-derived xenograft (PDX) model. Mechanistically, employing high-throughput screening techniques and subsequent biochemical validations such as microscale thermophoresis (MST), microRNA-145-5p (miR-145-5p) was pinpointed as a critical target through which elemene exerts its anti-tumor effects. Interestingly, elemene serves as a binding stabilizer for miR-145-5p, demonstrating a strong binding affinity (dissociation constant (K _D) = 0.39 ± 0.17 μg/mL) and preventing its degradation both in vitro and in vivo, while not interfering with the synthesis of the primary microRNA transcripts (pri-miRNAs) and precursor miRNAs (pre-miRNAs). The stabilization of miR-145-5p by elemene resulted in an increased level of this miRNA, subsequently suppressing NSCLC progression through the miR-145-5p/mitogen-activated protein kinase kinase kinase 3 (MAP3K3)/nuclear factor kappaB (NF-κB) pathway. Our findings provide a new perspective on revealing the interaction patterns between clinical anti-tumor drugs and miRNAs.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

Background Water serves as an indispensable resource for human survival and constitutes one of the primary means through which humans are exposed to environmental chemicals. Consequently, the safety of drinking water is critical to safeguarding public health. Objective To analyze the levels of the 10 metal/metalloid indicators [Al, Fe, Mn, Cu, Zn, As, Cd, Cr(VI), Pb, and Hg] in drinking water from a region of the Fuchun River Basin, and to evaluate the health risks in drinking water through oral ingestion. Methods In accordance with the national Standard Examination Method for Drinking Water – Part 2: Collection and Preservation of Water Samples (GB/T 5750-2006 and GB/T 5750-2023), a total of 2016 drinking water samples were collected from urban and rural water supply systems in a region of the Fuchun Basin from 2017 to 2024. Two batches of water samples were collected annually during the dry and wet seasons, with each batch comprising 72 samples from the urban water supply system and 54 samples from the rural water supply system. These samples were analyzed according to the Standard Examination Method for Drinking Water – Part 6: Metal and Metalloid Indicators (GB/T 5750-2006 and GB/T 5750-2023) and the results were compared with the limits specified in the Standards for Drinking Water Quality (GB 5749-2022). Health risks were evaluated using the U.S. Environmental Protection Agency (EPA) health risk assessment model. Results All tested metal/metalloid elements in the drinking water samples of the area met the national standards. The results of risk assessment showed that the non-carcinogenic risks associated with oral intake of drinking water, ranked from highest to lowest, were as follows: As>Cr(VI)>Pb>Cd>Hg>Mn>Cu>Zn>Fe>Al, with values of 4.55×10⁻², 2.79×10⁻², 2.06×10⁻², 1.20×10⁻², 4.95×10⁻³, 4.58×10⁻³, 2.85×10⁻³, 1.95×10⁻³, 1.52×10⁻³, and 9.21×10⁻⁴, respectively. The non-carcinogenic risk of each indicator was less than 1, which suggested no potential risk to population health. The carcinogenic risks ranked as Cr(VI)>As>Cd>Pb, with values of 4.18×10⁻⁵, 2.05×10⁻⁵, 3.85×10⁻⁶, and 2.45×10⁻⁷, respectively. The carcinogenic risks of Cr(VI), As, and Cd were between 10⁻⁶ and 10⁻⁴, which suggested an acceptable carcinogenic risk, while the carcinogenic risk of Pb was relatively negligible. Children's total non-carcinogenic/total carcinogenic risks were comparable to those of adult males, both higher than those of adult females. Additionally, rural areas exhibited higher non-carcinogenic/carcinogenic risks for Cr(VI), while those risks for As and Pb were lower than those in urban water samples, and those risks for Cd were comparable between the two. Conclusion The concentrations of the 10 metal/metalloid indicators in drinking water from the studied region in the Fuchun River Basin comply with the national standards from 2017 to 2024. There is a certain carcinogenic risk associated with oral intake of drinking water, but it is still within the acceptable range. In terms of non-carcinogenic risk, no potential threat to population health is anticipated.

Objective:To study the clinical efficacy of digital design combined with three-dimensional (3D) printing model minimally invasive extraction of complex impacted mandibular third molars.Methods:Eight patients who visited the Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology from April 2023 to March 2024 were included, including 3 males and 5 females, aged from 27 to 57 years old. The impacted mandibular third molars of all patients were closely related to the mandibular canal, and part of the dental tissue entered the mandibular canal. Preoperative digital design was used to simulate the intraoperative tooth segmentation and bone removal operation of the power system and the segmented tooth dislocation path, and analyze the tooth extraction resistance. The mandibular teeth, mandibular canal and mandibular model were three-dimensionally printed using light-curing resin inkjet. During the operation, an endoscope was used combined with the 3D printed model to minimally invasively extract the impacted mandibular third molar. Quantitative sensory testing of the patient′s lower lip skin on the operated side was performed before surgery, 2 days after surgery, and 7 days after surgery. Clinical data such as operation time were collected. A paired sample t test was performed on the 2 and 7 days postoperative data and the preoperative data to compare the data differences.Results:All 8 patients successfully completed preoperative design, model printing and minimally invasive surgery. The number of teeth segmented in the preoperative design was (4.4±1.3), and the number of teeth segmented in the actual operation was (4.0±1.1). The operation time was (33.3±13.0) min. None of the patients had postoperative numbness of the lower lip or other postoperative complication. It was observed endoscopically that the inferior alveolar neurovascular bundle was exposed in the extraction socket during the operation. The patient′s pressure pain threshold 2 days after surgery (0.601±1.170) was significantly lower than before surgery (1.251±1.109) ( t=2.83, P=0.025). Conclusions:For complicated impacted mandibular third molars, digital design combined with 3D printing model can be used to perform minimally invasive extraction with the assistance of an endoscope.

Objective On the premise of meeting the image quality requirements of simulated location for pediatric radiotherapy,the simulated localizable CT parameters are optimized through phantom scanning to reduce the radiation dose.Methods CatPhan700 phantom was used to simulate the child's body,Philip 24-row large-aperture spiral simulated localizable CT was performed,and the CT images were obtained by scanning the phantom at different mAs and tube voltages.The mAs range was set at 60-400 mAs,the scanning was performed every 20 mAs interval,and the kV was set at 80,100,and 120 kV.Image evaluation was carried out using parameters such as image noise(N10 and mean SD),uniformity,low contrast resolution,high contrast resolution,and the stabilities of HU values of Air,Acrylic,50%bone,LDPE,20%bone,Teflon,Polystyrene,DelrinTM,Lung,PMP and Water.The CTDIVol and DLP automatically calculated by the simulated localizable CT system were read to evaluate the radiation dose.Results At 100 kV,as mAs increased,both CTDI and DLP showed upward trends,and the fitting results were linear correlated,with slopes of 0.034 5 and 0.932 4.Image noise was decreased nonlinearly with the increasing mAs.When mAs increased from 60 to 140 mAs,N10 decreased from 0.25%to 0.14%,and SD reduced from 3.74 HU to 2.54 HU.When mAs reached 180 mAs or higher,N10 fluctuated between 0.1%and 0.12%,the mean SD fluctuated between 2.0 and 2.5 HU,and the downward trends obviously slowed down.When mAs increased from 60 to 200 mAs,the low contrast resolution of the image dropped from 0.53 to 0.29.The image uniformity,high contrast resolution and HU values of different substances were less affected by mAs.The image quality of 100 kV and 200 mAs scanning was close to that of 120 kV scanning,but the image quality of 80 kV scanning failed to meet the clinical requirements.Conclusion In order to reduce the radiation dose as much as possible,the mAs should be set at 200 mAs when the tube voltage is set at 100 kV for a simulated cylinder with a diameter of 20 cm.In the actual simulation scanning for pediatric radiotherapy,the scanning parameters should be fine-tuned according to the phantom results and the actual physical characteristics of children to satisfy the optimization principle for radiation protection.

Objective To observe the value of grey-level histogram analysis based on T2WI for differentiating consistency of meningioma.Methods Data of 109 patients with meningioma were retrospectively analyzed.The patients were divided into hard group(n=71)and soft group(n=38)according to the consistency of tumors.Tumor ROI was outlined on axial T2WI showing the largest tumor section,gray levels were extracted and histogram analysis was performed.The value of each histogram parameter were compared between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficiency for differentiating soft and hard meningioma.Results P1,P10,P50,P90,P99 and the mean grey levels on T2WI in soft group were all higher than those in hard group(all P＜0.05),while the variance,the kurtosis and the skewness were not significantly different between groups(all P＞0.05).The differentiating efficiency of P1,P10,P50,P90,P99 and the mean grey levels on T2WI were all fine,with AUC of 0.774 to 0.833,and no significant difference was found(all P＞0.05).Conclusion Parameters of grey-level histogram analysis such as P1,P10,Ps0,P90,P99 and the mean values based on T2WI were all valuable for differentiating soft and hard meningioma.