ObjectiveTo explore the effect of piercing electroacupuncture on ankle muscle strength, dynamic balance and subjective stability in patients with functional ankle instability (FAI). MethodsA total of 48 patients with FAI admitted to the Affiliated Hospital of Traditional Chinese Medicine, Shandong Second Medical University from April, 2024 to July, 2025 were enrolled and randomly divided into control group (n = 24) and experimental group (n = 24). The control group received multimodal functional training, while the experimental group received piercing electroacupuncture in addition, for six weeks. Relative peak torque of ankle plantarflexion, dorsiflexion, inversion and eversion were measured with isokinetic muscle strength testing system before and after treatment, while Y-Balance Test (YBT) and Cumberland Ankle Instability Tool (CAIT) were adopted for evaluation. ResultsOne case dropped out in each group. Relative peak torque of ankle plantarflexion, dorsiflexion, inversion and eversion at each angular velocity, the normalized distance in each direction and composite score of YBT, as well as the score of CAIT increased in both groups after treatment (|t| > 2.891, P < 0.01), while all the indicators were better in the experimental group than in the control group (|t| > 2.104, P < 0.05), except dorsiflexion muscle strength. ConclusionCombination of piercing electroacupuncture can further improve perimalleolar muscle strength, dynamic balance and subjective stability in patients with FAI.

ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To understand the epidemiological characteristics of a clustered outbreak of severe fever with thrombocytopenia syndrome(SFTS)as well as the ecological tick monitoring results for Zibo City, and to provide a scientific basis for formulating prevention and control strategies. Methods A case definition was cited before epidemic investigations were performed. Epidemiological investigations were performed on the index cases and their close contacts. Blood samples were collected from cases and close contacts, and quantitative real-time RT-PCR was used to detect SFTS virus(SFTSV)nucleic acid sequences. A retrospective cohort study was conducted to analyze risk factors and develop prevention and control strategies. Results This clustered outbreak involved two index cases and six close contacts with no deaths. Case A exhibited symptom onset on July 26. SFTS was confirmed on August 2. Case B exhibited symptom onset on August 1, and SFTS was confirmed on August 3. Patient B reported a recent history of tick bites. In both index cases, the incubation period for SFTS was inferred to be 7-12 days. The time interval from symptom onset to clinical diagnosis in the two cases ranged from 2-8 days, with an average period of 5 days. SFTSV nucleic acid test result were positive for both patients, whereas all six close contacts tested negative. All captured ticks tested negative for SFTSV using quantitative real-time RT-PCR. The densities of parasitic and free-living ticks in the emergency monitoring area around the cases were 12.60 and 4.65 ticks/(flag·100 m). In 2024, the average parasitic tick index and free-living tick density index were 4.21 and 2.43 ticks/(flag ·100 m)in Yiyuan County, respectively. Conclusions No evidence of human-to-human transmission was found in the assessed SFTS clusters. The infections were likely acquired through tick bites during fieldwork, and the risk of a subsequent outbreak spreading was low.

Consciousness, which underpins human perception, cognition, and behavioural responses, has long been a major focus of neuroscience and medicine. Alterations in consciousness occur not only during reversible processes such as sleep and anaesthesia, but also in pathological conditions, including disorders of consciousness (DOC) and brain injury. With recent advances in the synchronized acquisition and analysis of multimodal physiological signals, such as electroencephalography (EEG) and electrocardiography (ECG), the dynamic interactions between the heart and brain have become increasingly apparent. A growing body of evidence indicates that heart-brain interactions are closely associated with the maintenance and transition of consciousness states, offering a novel perspective for elucidating their underlying mechanisms and supporting relevant clinical assessments. Current approaches to heart-brain interaction analysis for consciousness-state assessment can be broadly grouped into three categories: ECG-based methods, EEG-based methods, and heart-brain coupling analysis. These approaches characterize heart-brain interactions during changes in consciousness from the complementary perspectives of autonomic regulation, cortical interoceptive processing, and cross-system information transfer, respectively. Nevertheless, this field remains at an early stage. Most studies have focused on a single experimental context or a fixed analytical method, with insufficient systematic consideration of the applicability and limitations of different approaches. Moreover, the mechanisms underlying the emergence and alteration of consciousness remain incompletely understood. Accordingly, this review examines heart-brain interaction methods employed in recent consciousness-state assessment studies in accordance with progressively deeper analytical perspectives, and systematically evaluates the advantages and limitations of these methods across distinct consciousness-related conditions. Heart rate variability (HRV) is one of the classical ECG-based indices used to investigate heart-brain interactions. It refers to fluctuations in consecutive interbeat intervals over a specified time period and is regarded as a physiological measure of autonomic nervous system regulation that may indirectly reflect the strength of heart-brain interactions. Depending on the analytical dimension, HRV analysis is commonly divided into time-domain, frequency-domain, and complexity-index analyses. These approaches characterize autonomic activity in terms of temporal fluctuations, the distribution of frequency components, and nonlinear dynamical properties, respectively. Although extensive research supports their physiological interpretation, they cannot characterize directional interactions from the heart to the brain. Among EEG-based methods for heart-brain interaction analysis, EEG activity directly related to cardiac fluctuations has received particular attention. One of the most widely used measures is the heartbeat-evoked potential (HEP). HEP-based approaches are considered to directly reflect the capacity of the cerebral cortex to process cardiac afferent signals and may be especially advantageous for characterizing rapidly changing consciousness levels, such as those observed during sleep. However, they do not comprehensively capture dynamic bidirectional information exchange between the brain and heart and are susceptible to cardiac artefacts, respiration, and variation in preprocessing procedures. Heart-brain coupling analysis quantifies functional associations between ECG and EEG through cross-system interaction measures, thereby assessing dynamic interactions between the heart and brain. It emphasizes information transfer, feedback regulation, and cross-timescale coordination between the two systems, offering a more comprehensive perspective for investigating changes in consciousness during sleep, anaesthesia, and DOC. However, the neurophysiological mechanisms and physiological interpretation of individual computational indices have not yet been fully established, and the robustness of their results and their potential for clinical generalization require further validation. Finally, this review summarizes the commonalities and differences among the three classes of methods across research domains involving different consciousness states. It further argues that heart-brain interaction research requires deeper investigation at both the mechanistic level of consciousness and the level of clinical application. Current challenges and key issues are identified, and future directions and feasible pathways for heart-brain interaction research are discussed, with the aim of providing new perspectives for researchers in related fields.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective:To investigate the impact of early invasive arterial blood pressure (IBP) monitoring on survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:This retrospective cohort study analyzed 44 OHCA patients receiving ECPR between January 2021 and January 2023. Patients were divided into: Early intervention group : IBP established within 3 min of ECMO initiation; Late intervention group : IBP established after ICU admission. Baseline characteristics, ECMO parameters, and clinical outcomes were compared. Multivariable logistic regression (adjusted for age, initial rhythm, etc.) and Spearman's correlation were used.Results:This study included a total of 44 patients treated with OHCA and ECPR, divided into an early intervention group of 23 cases and a late intervention group of 21 cases. The early intervention group showed significantly higher: Survival to discharge (43.5% vs. 9.5%, P<0.05), Good neurological recovery (CPC 1-2: 34.8% vs. 9.5%, P<0.05).Early intervention independently predicted survival (adjusted OR=18.84, 95% CI:1.97-179.98, P=0.01). Stratified analysis by pH (cutoff 7.0) demonstrated consistent benefits in both pH>7.0 ( aOR=0.392, 95% CI:0.106-0.678) and pH≤7.0 subgroups ( aOR=0.385, 95% CI: 0.075-0.695; interaction P=0.183). Early IBP positively correlated with CPC scores ( ρ=0.40, P=0.007). Conclusions:Early IBP monitoring significantly improves survival and neurological outcomes in OHCA-ECPR patients, supporting its integration into standardized protocols.

Objective:To analyze the predictive value of the preoperative lymphocyte-to-monocyte ratio (LMR) for the postoperative prognosis of distal cholangiocarcinoma.Methods:Clinical data of 197 patients with distal cholangiocarcinoma undergoing radical surgery at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2011 to December 2023 were retrospectively analyzed, including 118 males and 79 females, aged (65.1±10.2) years. Patients were randomly divided into the training set ( n=137) and the test set ( n=60) in a ratio of 7∶3. The training set is used to construct the nomogram, and the test set is used to evaluate the nomogram. Multivariate analysis of the influencing factors of long-term survival after surgery for distal cholangiocarcinoma was conducted using Lasso regression and Cox regression. And based on the results of multiple factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The receiver operating characteristic (ROC) curve, conformance index, calibration curve and decision curve were used to analyze and evaluate the predictive efficacy of the model. Results:Lasso regression screening showed that smoking history, preoperative LMR, preoperative total bilirubin, preoperative carbohydrate antigen (CA) 19-9, intraoperative blood loss, tumor differentiation degree, T staging of tumor, portal vein system invasion, nerve invasion and lymph node metastasis were risk factors affecting the long-term survival after surgery (all P<0.05). Multivariate Cox regression analysis showed that preoperative LMR, CA19-9, T staging of tumor, portal vein system invasion and lymph node metastasis were the influencing factors for long-term survival after surgery for distal cholangiocarcinoma. Based on the above factors, a nomogram for predicting the postoperative prognosis of distal cholangiocarcinoma was constructed. The areas under the ROC curves of this nomogram for predicting 3-year postoperative survival in the training set and the test set were 0.806 (95% CI: 0.719-0.893) and 0.811 (95% CI: 0.696-0.927), respectively. The consistency indices of the training set and the test set were 0.730 (95% CI: 0.678-0.783) and 0.714 (95% CI: 0.637-0.790), respectively. The calibration curves of the model in the training set and test set shows that the model fits well in both sets. The decision curve analysis (DCA) shows that the model has good clinical predictive efficacy in both sets. When the threshold range in the training set is between 10% and 84% and in the test set is between 18% and 82%, the model can bring benefits in predicting postoperative prognosis. Conclusion:The preoperative LMR level is one of the influencing factors for the postoperative prognosis of patients after surgery for distal cholangiocarcinoma. LMR-based model can effectively predict postoperative prognosis of patients with distal cholangiocarcinoma.

Transcatheter aortic valve replacement(TAVR)is increasingly being applied in low-risk and younger patients.However,this trend necessitates that cardiac surgeons take on the responsibility of comprehensive lifetime management.This article explores three critical aspects of lifetime management,including the selection of the initial valve,the procedural success and the device success rates of TAVR,and the durability of the valve.Younger TAVR recipients require comprehensive lifetime management strategies,including the potential risk of reintervention.Improving TAVR's procedural and device success rates is the cornerstone of lifetime management,necessitating efforts in surgical strategy and operation to reduce complications.Valve durability is a key guarantee;current surgical bioprosthetic valves show good durability,but long-term data on TAVR valves'durability is still needed.Meanwhile,novel valves are being improved in durability,offering new directions for optimizing lifetime management in TAVR patients.

Objective To investigate the effects of Bushen Shengjing Tiaohe Qixue Prescription on rats with diminished ovarian reserve(DOR)based on Wnt/β-catenin signaling pathway.Methods Totally 60 8-week-old SD female rats were randomly divided into control group,model group,estradiol valerate group and TCM low-,medium-and high-dosage groups,with 10 rats in each group.Except for the control group,the rats in the other groups were given a single intraperitoneal injection of cyclophosphamide 75 mg/kg to replicate the DOR rat model.From the next day of modeling,the corresponding drugs was administered for medication groups by gavage for 3 weeks.The general conditions of the rats were observed,ELISA was used to detect the contents of serum follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),anti-mullerian hormone(AMH)and inhibin B(INHB),HE staining was used to observe the morphologic changes in ovarian tissue,Western blot was used to detect GSK3β,β-catenin,CyclinD1 and c-MYC protein expressions in ovarian tissues,immunohistochemical staining was used to observe β-catenin expression in ovarian tissue,RT-qPCR was used to detect Wnt1,Wnt2,Wnt4,GSK3β,β-catenin,CyclinD1 and c-MYC mRNA expression in ovarian tissue,transmission electron microscopy was used to observe ultrapathologic structure of ovarian granulosa cells.Results Compared with the control group,the rats in the model group had reduced intake of food and water,slow or even reduced body mass gain,and disturbed estrous cycle,the serum contents of FSH and LH increased(P<0.01),the contents of E2,AMH and INHB decreased(P<0.01);the number of follicles of all levels in ovarian tissue was reduced,and there was increased number of atretic follicles with disturbed arrangement of the granulosa cells;the expression of GSK3β protein in ovarian tissue increased(P<0.01),the expression of β-catenin,CyclinD1 and c-MYC protein decreased(P<0.05,P<0.01),and β-catenin positive expression decreased(P<0.01),the expression of Wnt1,Wnt2,Wnt4,β-catenin,CyclinD1 and c-MYC mRNA in ovarian tissue decreased(P<0.01),GSK3β mRNA expression was increased(P<0,01);organelles such as mitochondria and nuclei of ovarian granulosa cells were highly swollen and partially lysed.Compared with the model group,the rats in the administered group all had different degrees of body mass increase,partial restoration of the motility cycle,serum FSH and LH contents decreased,and serum E2,AMH and INHB contents increased(P<0.01,P<0.05);the number of follicles at all levels in ovarian tissue increased to varying degrees,and the atretic follicles were reduced;the expression of GSK3β protein in ovarian tissue decreased,β-catenin,CyclinD1 and c-MYC protein expressions increased,β-catenin positive expression increased,the expression of Wnt1,Wnt2,Wnt4,β-catenin,CyclinD1 and c-MYC mRNA in ovarian tissue increased,and GSK3β mRNA expression decreased,with statistical significance in estradiol valerate group and TCM high-dosage group(P<0.05,P<0.01);mitochondria,endoplasmic reticulum and other organelles of ovarian granulosa cells were mildly to moderately swollen.Conclusion Bushen Shengjing Tiaohe Qixue Prescription can improve ovarian function and regulate serum sex hormone levels in DOR model rats,and its mechanism might be related to the activation of Wnt/β-catenin signaling pathway.