A portion of patients undergoing implant restoration require bone augmentation procedures to ensure that there is sufficient bone volume around the implant. For the patients with horizontal bone ridge defects at edentulous sites, with or without mild to moderate vertical bone defects, the shell technique serves as a reliable and minimally invasive bone augmentation method with effective space maintenance. The shell technique involves fixating 1 mm cortical bone blocks to the recipient site, using retention screws and filling the gap between the bone block and recipient bed with particulate bone substitute materials, and covering the barrier membrane to achieve bone augmentation. The overlying tension-free soft tissue closure seals the surgical site while local peripheral blood releases osteoclasts and cytokines that gradually degrade the bone block. The rigid fixation of the bone block ensures a stable internal environment for osteogenesis and a new bone regeneration cycle. Although this technique demonstrates favorable bone augmentation outcomes, it is highly technique-sensitive. There are certain differences in the application scenarios and osteogenic processes for autologous and allogeneic bone shells. The selection of bone blocks and particulate bone substitute materials significantly influences the osteogenic biological process and the predictability of bone augmentation results. Complications associated with the shell technique possess distinct characteristics, such as the immunogenicity of allogeneic bone fragments, soft tissue cracking, and bone fragment loosening. Their prevention and subsequent management substantially impact the success rate of osteogenesis. This article delves into the biological mechanisms of osteogenesis in the bone block technique, summarizing the indications, clinical outcomes, classification of bone blocks, and surgical workflow management, as well as complication prevention and management, aiming to provide a reference for the future application and development of the bone shell technique.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

ObjectiveTo enhance teaching in postoperative cancer rehabilitation, this study developed an integrative Chinese-Western medicine postoperative oncology rehabilitation system, termed the medical oncology generative pre-trained transformer (MedOncoGPT). By introducing MedOncoGPT as an intelligent assistant, an integrated teaching model combining Chinese and Western medicine was established. The study evaluated its impact on students’ integrative clinical reasoning and practical abilities, providing support for instructional reform in related courses. MethodsUsing teaching resources as the knowledge base, MedOncoGPT was built upon the open-source ChatGLM model and incorporated Low-Rank Adaptation (LoRA) fine-tuning and retrieval-augmented generation (RAG) techniques to address postoperative integrative oncology scenarios. The system was applied in courses and clinical clerkships related to integrative oncology. In alignment with course objectives, a five-stage instructional process—pre-class preparation, in-class inquiry, simulated multidisciplinary consultation, clinical reinforcement, and teaching reflection—was designed to guide students in completing syndrome differentiation, comprehensive assessment, and follow-up planning within real or simulated case contexts. Comparative analyses of student engagement, syndrome differentiation thinking, evidence-based awareness, and interdisciplinary integration skills before and after the teaching reform were conducted using questionnaires, course assessments, classroom observations, and semi-structured interviews. ResultsFollowing the implementation of MedOncoGPT, students demonstrated improved performance in case analysis, prescription formulation, and integrative Chinese-Western medical evaluation compared with those receiving traditional instruction. Classroom participation and the relevance of student inquiries also increased. Self-assessment results indicated high levels of satisfaction with respect to clarity of integrative clinical reasoning, ability to retrieve and apply guideline-based evidence, and awareness of appropriate use of intelligent tools in clinical decision-making. More than 92% of students reported that the system facilitated understanding of abstract theoretical concepts presented in textbooks. Instructors noted that the system helped reduce lesson preparation time, enriched typical case materials and discussion scenarios, and promoted the translation of research findings into classroom teaching. Pilot data showed that, with MedOncoGPT assistance, the mean time for initial syndrome differentiation decreased from 18.4 min to 12.1 min, and the agreement rate increased from 68.3% to 82.5%. In the teaching pilot, the experimental group achieved a higher mean score on the final case analysis assessment than the control group (82.6 vs. 74.3). ConclusionThe integration of MedOncoGPT into teaching on postoperative integrative cancer rehabilitation enabled the establishment of a stable instructional process within existing curricula and enhanced students’ integrative clinical reasoning and evidence-based practice capabilities. The approach demonstrates positive potential for advancing the integration of research, clinical practice, and education and represents a valuable exploratory strategy for instructional reform in courses on integrative Chinese-Western medicine.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective To investigate the prevalence of pinworm infections among kindergarten children and the effectiveness of health interventions among teachers and parents in Gaoyou City, so as to provide insights into optimization of enterobiasis control strategies. Methods From September to November each year from 2023 to 2025, Gaoyou City’s 57 kindergartens were divided into five zones based on the five cardinal directions: east, west, south, north, and center. At least one kindergarten was randomly selected as a survey site in each zone, with a minimum of 200 children surveyed per site. The transparent adhesive tape anal swab method was used to detect pinworm infection in the surveyed children, while the transparent adhesive tape sticking method was employed to assess pinworm egg contamination in the children’s home and classroom environments. Concurrently, health education interventions were conducted for kindergarten teachers and parents. Additionally, self-administered questionnaires were administered to teachers and parents to evaluate children’s hygiene behaviors and the awareness rates of pinworm prevention knowledge among teachers and parents before and after the health education interventions. Results From 2023 to 2025, a total of 1 939 children from nine kindergartens in Gaoyou City were tested for pinworm infection, with two cases detected, resulting in an overall infection rate of 0.10% (2/1 939). No pinworm eggs were found in the samples from the children’s families or classroom environments. In public kindergartens, the proportions of children practicing the four hygiene habits, namely “handwashing after defecation” [96.10% (1 305/1 358) vs. 74.65% (212/284); χ² = 153.646, P < 0.05], “regular nail trimming” [92.93% (1 262/1 358) vs. 77.82% (221/284); χ² = 61.349, P < 0.05], “not biting toys or pencils” [88.14% (1 197/1 358) vs. 76.76% (218/284); χ² = 25.549, P < 0.05], and “showering twice or more per week” [89.03% (1 209/1 358) vs. 74.65% (212/284); χ² = 41.699, P < 0.05], were all higher than those in private kindergartens. Before health education intervention, the awareness rates of pinworm prevention knowledge among teachers in public and private kindergartens were 86.89% (53/61) and 75.00% (21/28), respectively, with no statistically significant difference (χ² = 1.935, P > 0.05). The awareness rates among parents of children in public and private kindergartens were 64.73% (879/1 358) and 57.39% (163/284), respectively, showing a statistically significant difference (χ² = 5.447, P < 0.05). After the intervention, the awareness rates among teachers in public and private kindergartens increased to 96.72% (59/61) and 82.14% (23/28), respectively, while those among parents rose to 88.95% (1 208/1 358) and 77.81% (221/284), both with statistically significant differences (χ² = 5.628 and 25.808, both P < 0.05). Among the questionnaire items, teachers [32.58% (29/89)] and parents [26.00% (427/1 642)] had the lowest overall awareness rate regarding the “main reasons for the difficulty in preventing and controlling pinworm disease”. After the intervention, these rates increased to 77.53% (69/89) and 70.77% (1 162/1 642), respectively. Conclusions The prevalence of pinworm infection in kindergarten children in Gaoyou City is at a low level. Health intervention can effectively improve the knowledge level of teachers and parents on the prevention and treatment of pinworm disease, but further efforts are needed to strengthen the health education and management of pinworm disease in private kindergartens.

ObjectiveTo generate cynomolgus and rhesus monkey models carrying the Booroola fecundity (FecB) variant of bone morphogenetic protein receptor type 1B (BMPR1B) gene (designated BMPR1B^FecB) using adenine base edit technology and to explore genetic improvement strategies for enhancing the reproductive performance of laboratory macaques. MethodsFour single-guide RNAs (sgRNAs) were designed to target the BMPR1B c.746A>G locus in cynomolgus and rhesus monkeys. The sgRNAs were combined with the ABE8e-SpRY base editor, and the resulting editing complexes were microinjected into zygotes of both macaque species. Following in vitro culture of the injected embryos, nested PCR amplification was performed to detect the base-editing efficiency at the target site to screen for highly efficient sgRNAs. Subsequently, normally developing gene-edited embryos were transferred into the oviducts of surrogates. Seven days after birth, ear skin or peripheral blood samples were collected from the newborn monkeys for genotyping and mosaicism analysis, and the growth, development, and health status of the gene-edited monkeys were monitored. ResultsAmong the four candidate sgRNAs, sgRNA4 was identified as achieving 100% editing efficiency at the c.746A>G site. A total of 17 live monkey offspring were obtained via embryo transfer, including 8 cynomolgus monkeys and 9 rhesus monkeys. Genotyping results showed that all 8 newborn cynomolgus monkeys carried the c.746A>G point mutation, with an editing efficiency of 100% (8/8), of which 37.50% (3/8) were mosaics. Among the 9 newborn rhesus monkeys, 8 individuals carried the c.746A>G mutation, with an editing efficiency of 88.89% (8/9), of which 75.00% (6/8) were mosaics. ConclusionThe ABE8e-SpRY base-editing system enables precise editing at the c.746A>G (p.Q249R) locus of the BMPR1B gene in both cynomolgus and rhesus monkey embryos, resulting in the successful establishment of laboratory monkey models carrying the BMPR1B^FecB variant. These models provide a valuable foundation for future studies of the regulatory role of the BMPR1B^FecB variant in reproductive performance at the non‑human primate level, as well as for exploring genetic improvement strategies to enhance reproductive performance in laboratory monkeys.

ObjectiveTo investigate the difference in the risk of cardiovascular diseases between patients with different subtypes of non-alcoholic fatty liver disease （NAFLD） from the perspective of metabolism， since cardiovascular events induced by metabolic disorders are the leading cause of death in NAFLD. MethodsThe cluster sampling method was used to conduct a multicenter cross-sectional study among three representative hospitals in Pudong New Area of Shanghai， China. A total of 37 122 sets of physical examination data from July 2022 to June 2023 were collected and stratified according to body mass index （BMI）. The chi-square test was used for comparison of continuous data between groups， and a multivariable Logistic regression analysis was used to investigate the association between NAFLD subtypes and cardiometabolic risk factors. ResultsA total of 9 372 cases of NAFLD were detected， with a detection rate of 25.25%， and more than 97% of these patients were diagnosed with metabolic associated fatty liver disease （MAFLD）. The subgroup analysis showed that the detection rates of lean， overweight， and obese NAFLD were 7.72%， 33.99%， and 63.56%， respectively. Compared with the patients with lean or overweight NAFLD， the patients with obese NAFLD showed a significantly higher proportion of patients with abnormalities in blood pressure， blood glucose， triglyceride （TG）， high-density lipoprotein （HDL） or uric acid （all P<0.001）. Among related risk factors， lean NAFLD was associated with the increase in total cholesterol （TC）（P<0.05）， while overweight NAFLD and obese NAFLD were not associated with TC abnormalities （P>0.05）； obese NAFLD was not associated with TG abnormalities， while lean NAFLD and overweight NAFLD were associated with TG abnormalities （both P<0.05）； all types of NAFLD were associated with the abnormalities of waist-hip ratio， blood pressure， blood glucose， low-density lipoprotein， HDL， and uric acid （all P<0.05）. ConclusionThe detection rates of different subtypes of NAFLD in Shanghai Pudong are close to those reported in China and globally， and the epidemiologic data of NAFLD can be used analogously for MAFLD. There are certain differences in the distribution and association of cardiometabolic risk factors between different subtypes of NAFLD， and targeted interventions should be formulated based on the metabolic characteristics of each type of NAFLD.

Objective:To compare the efficacy of various machine learning models in predicting renal function decline after robot-assisted partial nephrectomy(RAPN),and to provide evidence for clinical risk stratification.Methods:This study retrospectively in-cluded the clinical data of 733 patients with renal cell carcinoma undergoing RAPN at the Urology Department of The First Affiliated Hospital of Chongqing Medical University from January 2019 to December 2023.Demographic characteristics,laboratory indicators,and perioperative parameters were integrated to construct seven machine learning models.Key predictors were interpreted using Shap-ley additive explanations(SHAP).Model performance was evaluated using the area under the receiver operating characteristic curve(AUC).Results:The random forest model demonstrated the best predictive performance(AUC=0.84).SHAP analysis identified neutrophil-to-lymphocyte ratio,tumor diameter,the international normalized ratio of prothrombin time,white blood cell count,and in-traoperative blood loss as significant factors influencing postoperative renal function decline.Conclusion:This study provides a poten-tial predictive tool for clinical practice,aiding in identifying high-risk patients and optimizing postoperative management strategies.

Objective To establish a highly sensitive and specific method for detecting human DNA based on real time quantitative PCR(qPCR)technique for the rapid detection of potential DNA con-tamination sources in DNA laboratories.Methods Primers and probes were designed with Primer Ex-pressTM software using the reference sequence of human 18S rRNA gene as a template,and the opti-mal prime-probe combination was screened by matrix method.The PCR products of the target se-quence of human 18S rRNA gene were used to construct the plasmid,and a plasmid standard was used to draw the standard curve of the qPCR system.According to the Minimum Information for Pub-lication of Quantitative Real-time PCR Experiments(MIQE)guidelines,the specificity,sensitivity,re-peatability and application effect of the qPCR system were evaluated.Results The sensitivity of the qPCR system established in this study was 5.3×10-5 ng/μL,which showed good specificity for human DNA samples.The correlation coefficient of the qPCR system was-0.999,and amplification efficiency was 100％.Both the intra-batch and inter-batch variation coefficients were less than 2％.Conclusion The established human DNA detection method based on qPCR technique has good specificity,high sen-sitivity,and robust stability.It can be used for rapid detection of DNA contamination and daily moni-toring of the accumulated human DNA in the laboratory environment.

At present,the drug substitutes represented by new psychoactive substances are gradually be-coming popular,leading to an increasing demand for identifying novel drugs with unknown structures in drug investigation.Nuclear magnetic resonance(NMR)spectroscopy is an important tool for ana-lyzing molecular structures.In the absence of standard substances,quantitative NMR(qNMR)can un-dertake the quantitative analysis of target substances in complex mixtures and has unique advantages in the research of new drugs and their precursor drugs.Due to the limitations of the site and mainte-nance costs,as well as relatively complex operation,high-field superconducting NMR is less com-monly applied in drug research.The desktop low-field NMR developed in recent years provides a new alternative solution.Due to the use of permanent magnets,its size is reduced,and the operation and maintenance costs are lowered.It has been widely used in various research fields.This article reviews the development of low-field NMR technology,summarizes the application of desktop low-field NMR in screening and identification of suspicious substances,rapid content determination,analysis of drug manufacturing processes and synthetic routes,and correlation traceability.It also looks forward to the prospects and development directions of this technology in drug research,aiming to provide a reference for researchers who work in analytical chemistry and drug research.