Brain-computer interface (BCI) is a neuro-engineering technology that establishes a direct communication pathway between the brain and external devices. It can realize bidirectional information interaction between the brain and external devices through real-time acquisition and decoding of brain signals, thereby completing brain state recognition and precise feedback regulation. This technology is promoting the transformation of the diagnosis and treatment model of neuropsychiatric diseases from “open-loop stimulation” to “closed-loop adaptation”. The brain regions and circuits involved in the neural mechanisms of addiction and sleep disorder are highly intertwined. Sleep-related brain rhythms provide a key time window for the intervention of addiction memory, and both have abnormal electrophysiological activities and functional imbalances in core neural circuits. This article reviews the latest research progress of closed-loop BCI in the fields of addiction and sleep disorder, explains the neural circuits and electrophysiological mechanisms of its regulation, and its limitations in diagnosis and treatment of the two diseases. In addition, it prospects individualized closed-loop intervention from the perspective of brain-body interaction, so as to provide reference for the clinical transformation of closed-loop BCI.

This article reviews the research advances in the characteristics and application progress of various new models for preclinical cancer research on pancreatic cancer， analyzes and discusses the history， current research status， and advantages and disadvantages of new models of pancreatic cancer， including patient-derived tissue xenograft， conditional reprogramming， and patient derived organoids， and it also reviews the studies that have achieved clinical transformation from preclinical models and proposes possible research prospects in the future.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

Gene therapy, harnessing the power of CRISPR-Cas9 and/or DNAzyme systems, stands as a pivotal approach in cancer therapy, enabling the meticulous manipulation of genes pivotal to tumorigenesis and immunity. However, the pursuit of precise gene therapy encounters formidable hurdles. Herein, a near-infrared upconversion theranostic nanomachine is devised and tailors for CRISPR-Cas9/DNAzyme systems mediate precise gene therapy. An ingenious logic DNAzyme system consists of Chain 1 (C1)/Chain 2 (C2) and endogenous lncRNA is designed. We employ manganese modified upconversion nanoparticles for carrying ultraviolet-responsive C1-PC linker-C2 (C₂P) chain and Cas9 ribonucleoprotein (RNP), with outermost coats with hyaluronic acid. Upon reaching tumor microenvironment (TME), the released Mn²⁺ ions orchestrate a trifecta: facilitating endosomal escape, activating cGAS-STING signaling, and enabling T1-magnetic resonance imaging. Under near-infrared irradiation, Cas9 RNP/C₂P complex dissociates, releasing Cas9 RNP into the nucleus to perform gene editing of Ptpn2, while C1/C2 chains self-assemble with endogenous lncRNA to form a functional DNAzyme system, targeting PD-L1 mRNA for gene silencing. This strategy remodels the TME by activating cGAS-STING signaling and dual immune checkpoints blockade, thus realizing tumor elimination. Our theranostic nanomachine armed with the CRISPR-Cas9/DNAzyme logic systems, represents a resourceful and promising strategy for advancing cancer systemic immunotherapy and precise gene therapy.

OBJECTIVE: To analyze the clinical effectiveness of veno-venous extracorporeal membrane oxygenation (VV-ECMO) in rescuing children with severe pulmonary contusion. METHODS: A retrospective analysis was conducted on the clinical data of four children with severe pulmonary contusion who were treated with VV-ECMO in the pediatric intensive care unit of Xi'an Children's Hospital from April 2021 to December 2024. The general data, laboratory indicators within 24 hours after admission, imaging features, bronchoscopic findings, diagnostic and treatment processes, as well as therapeutic outcomes of the children were analyzed. RESULTS: All four pediatric cases were male, aged 4 years and 9 months, 6 years and 5 months, 8 years and 10 months, and 9 years and 7 months, respectively. One case resulted from a high-altitude fall and three from traffic accidents, all presenting with multiple fractures. All four cases progressed to dyspnea within 1-4 hours post-injury and received endotracheal intubation with invasive ventilator support within 2-5 hours. Three cases exhibited tachycardia upon admission and were treated with norepinephrine, all four cases presented with fine moist rales in the lungs. Imaging studies revealed diffuse exudative changes in all four cases. Bronchoscopy identified diffuse pulmonary hemorrhage, with one case additionally showing rupture of the right intermediate bronchus. Conventional mechanical ventilation failed to correct oxygenation in all cases, prompting initiation of VV-ECMO therapy within 8-22 hours post-injury. One case underwent right thoracic exploration under ECMO support. Following treatment, all four cases demonstrated gradual reduction in bloody airway secretions, resolution of pulmonary exudative changes on imaging, and absence of hemorrhage on bronchoscopy. They were successfully weaned off ECMO and ultimately discharged as cured. CONCLUSIONS Severe pulmonary contusion rapidly leads to respiratory distress, requiring ventilator-assisted ventilation within hours of injury. When conventional ventilator support is ineffective, ECMO can be life-saving, with timely intervention yielding favorable prognosis.
Humans ; Extracorporeal Membrane Oxygenation/methods* ; Male ; Retrospective Studies ; Child, Preschool ; Child ; Contusions/therapy* ; Lung Injury/therapy* ; Treatment Outcome

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

Mesenchymal stem cells(MSCs)play a crucial role in tissue repair and regeneration,and the extracellular vesicle(EV)released by them holds great promise for applications in clinical biomarkers,vaccines,and drug delivery.However,MSCs-derived EV(MSCs-EV)face challenges such as low pro-duction yield,poor retention,and targeted delivery issues.There-fore,engineering MSCs-EV to enhance their performance and en-able visual research has become a hot topic.Curcumin(CUR),an active component in traditional chinese medicine,exhibits pharmacological effects but has limited bioavailability.Using MSCs-EV as a carrier for CUR delivery can address its solubility and bioavailability challenges.This article reviews the drug loading methods,engineering strategies of MSCs-EV,and their important applications in the delivery and treatment of CUR for cartilage injury diseases.It provides a basis for the clinical ap-plication of engineered MSCs-EV in CUR delivery for cartilage repair,offering potential solutions to the challenges in cartilage tissue repair.

Purpose This study aimed to investigate the expression and clinical significance of TLDC2 in colorec-tal adenocarcinoma.Methods Data from the human protein atlas(HPA)and the cancer genome atlas(TCGA)indi-cated that TLDC2 was highly expressed in colorectal adenocarcinoma.We further analyzed the expression of TLDC2 in 400 colorectal adenocarcinomas and 447 other solid tumors using tissue microarrays and immunohistochemical(IHC)staining.Result The positive expression rate of TLDC2 was significantly higher than that of SATB2 in colorectal ade-nocarcinomas(96.5％vs 87.0％,P＜0.000 1).TLDC2 positivity exceeded that of SATB2 in both low-or high-grade colorectal adenocarcinoma(99.4％vs 88.7％,P＜0.000 1;83.3％vs 79.2％,P=0.669 9).In addition,the expression of TLDC2 and SATB2 was evaluated in 447 cases of other types of solid tumors.TLDC2 was expressed in neuroendocrine tumors as well as in gastric and appendiceal adenocarcinomas,whereas SATB2 was detected in a small number of melanomas,ovarian cancers,breast cancers and gallbladder cancers.The positive and specificity of TLDC2 for colorectal adenocarcinoma were 97％(95％CI=0.94-0.98)and 85％(95％CI=0.81-0.88),respectively.Combined detection of TLDC2 and SATB2 yielded a sensitivity of 96％(95％CI=0.93-0.97)and a specificity of 93％(95％CI=0.90-0.95).Conclusion Analysis of large-scale datasets and IHC staining demonstrated that TLDC2 is a highly sensitive and specific biomarker for colorectal adenocarcinoma.

Objective To explore the predictive value of albumin,hemoglobin and multifactorial model for poor postoperative prognosis in elderly patients with meningioma.Methods A retrospective analysis was conducted on 253 elderly patients who underwent meningioma surgery and were transferred to the neurosurgical intensive care unit(NICU)at General Hospital of Northern Theater Command from January 2019 to September 2021,serving as the modeling cohort.Another 227 elderly patients who were treated in NICU after meningioma surgery from November 2021 to June 2023 were used as the validation cohort.Patients in the modeling cohort were categorized into good prognosis group[Glasgow Coma Scale(GCS)score>7,n=161]and poor prognosis group(GCS≤7,n=92)based on the GCS.Univariate and multifactorial logistic regression analyses were performed on the modeling cohort to identify independent risk factors,and a multifactorial model for predicting poor postoperative prognosis in elderly patients with meningioma was constructed based on these factors.The predictive efficacy and accuracy of the model were evaluated using the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,specificity,Hosmer-Lemeshow goodness-of-fit test,and calibration curves.The predictive value of postoperative albumin,hemoglobin,and the multifactorial models for postoperative prognosis in elderly meningioma patients was assessed using restricted cubic spline modeling(RCS),decision curves(DCA),and validated using an external validation cohort to assess the stability of the model.Results Meningioma WHO grade Ⅱand Ⅲ(OR=3.994,95％CI 1.963-8.126),postoperative hypoalbuminemia(OR=2.194,95％CI 1.079-4.462),and postoperative anemia(OR=2.117,95％CI 1.096-4.089)were identified as independent risk factors for poor postoperative prognosis in elderly meningioma patients(P<0.05),while the use of analgesic/sedative medications was a protective factor(OR=0.388,95％CI 0.201-0.748,P<0.05).The Hosmer-Lemeshow test indicated that the constructed multifactorial model had a good fit accuracy(P=0.161).The AUC for predicting poor postoperative prognosis in elderly meningioma patients for postoperative albumin and hemoglobin were 0.545(95％CI 0.472-0.617)and 0.632(95％CI 0.561-0.702),respectively,and showed a nonlinear dose-response relationship with prognosis(P<0.01).DCA analysis results showed that the net benefit rate of multifactorial model was higher than that of postoperative albumin and hemoglobin when the threshold probabilities were between 0.10 and 0.90.The AUC for predicting postoperative prognosis in the elderly meningioma patients in the modeling and validation cohorts were 0.810 and 0.819,respectively,and their calibration curves suggested good discrimination and accuracy.Conclusions Meningioma WHO grades Ⅱ and Ⅲ,postoperative anemia and hypoalbuminemia are independent risk factors for poor postoperative prognosis in elderly meningioma patients,while the use of analgesic/sedative drugs is a protective factor.The multifactorial model constructed based on these factors has a good predictive efficacy and credibility,and can be used as a reference for clinical decision-making.