In recent years， repetitive transcranial magnetic stimulation （rTMS） has garnered significant attention as a therapeutic approach for sleep disorders in the elderly. However， the prevailing rTMS protocols are predominantly developed based on normative neurophysiological data derived from young adults and fail to incorporate individualized parameters tailored to the brain characteristics of the elderly. To address this gap， the consensus development group synthesized the latest evidence from 2010 to 2025 and established a standardized rTMS protocol specifically for elderly patients with sleep disorders. Adhering to the Appraisal of Guidelines for Research and Evaluation II （AGREE II） framework， systematically screened randomized controlled trials （RCTs） and systematic reviews regarding rTMS in the treatment of sleep disorders across various conditions. Meanwhile， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system was employed to rigorously grade the quality of evidence and the strength of recommendations. This consensus guideline delineates precise rTMS protocols for the management of sleep disorders in the elderly， highlights the adjustment of stimulation intensity according to scalp-cortex distance recommends either MRI‑guided neuronavigation or the Beam F3/F4 heuristic approach for accurate target localization， thereby providing precise rTMS intervention protocol for sleep disorders in the elderly， aiming to enhance clinical efficacy while ensuring treatment safety. ［Funded by National Key Research and Development Program （number， 2023YFC3603200）； General Program of Shenzhen Science and Technology Innovation Commission （number， JCYJ20240813112859008， JCYJ20240813112900002）； Youth Program of Shenzhen Kangning Hospital （number， KN2023A004）； www.guidelines-registry.cn number， PREPARE-2026CN530］

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.

OBJECTIVES: Investigating the protective effect of naringenin (NAR) on the osteogenic potential of human periodontal ligament stem cells (hPDLSCs) under oxidative stress and its related mechanisms. METHODS: The oxidative damage model of hPDLSCs was established using hydrogen peroxide (H₂O₂) andthe hPDLSCs were treated with different concentrations of NAR and 0.5 μmol/L forkhead box protein O-1 (FOXO1) inhibitor AS1842856. After that, the cell counting kit-8 (CCK8) was used to determine the optimal concentrations of H₂O₂ and NAR. The alkaline phosphatase (ALP) staining and real time fluorescent quantitative reverse transcription polymerase chain reaction (qRT-PCR) were employed to assess the expression of ALP, runt-related transcription factor 2 (RUNX2) and osteocalcin (OCN) in hPDLSCs of each group. The enzyme-linked immunosorbent assay (ELISA) and 2',7'-dichlorofluorescin diacetate (DCFH-DA) staining were utilized to evaluate the expression of reactive oxygen species (ROS), malondialdehyde (MDA) and lactate dehydrogenase (LDH) in hPDLSCs. Meanwhile, qRT-PCR and western blot were used to detect the expression levels of FOXO1 and β-catenin, both are pathway related genes and proteins. RESULTS: H₂O₂ exposure led to an increase in oxidative damage in hPDLSCs, characterized by a rise in intracellular ROS levels and increased expression of MDA and LDH (P<0.05). At the same time, the osteogenic differentiation ability of hPDLSCs decreased, as evidenced by lighter ALP staining and reduced expression levels of osteogenic differentiation-related genes ALP, RUNX2 and OCN (P<0.05). Co-treatment with NAR alleviated the oxidative damage in hPDLSCs, enhanced their antioxidant capacity, and restored their osteogenic ability. The FOXO1 inhibitor AS1842856 downregulated the expression of β-catenin (P<0.05) and significantly diminished both the antioxidant effect of NAR and its ability to restore osteogenesis (P<0.05). CONCLUSIONS NAR can enhance the antioxidant capacity of hPDLSCs by activating the FOXO1/β-catenin signaling pathway within hPDLSCs, thereby mitigating oxidative stress damage and alleviating the loss of osteogenic capacity.
Humans ; Oxidative Stress/drug effects* ; Periodontal Ligament/cytology* ; Hydrogen Peroxide ; Forkhead Box Protein O1/metabolism* ; Stem Cells/cytology* ; Flavanones/pharmacology* ; beta Catenin/metabolism* ; Osteogenesis/drug effects* ; Signal Transduction ; Core Binding Factor Alpha 1 Subunit/metabolism* ; Alkaline Phosphatase/metabolism* ; Osteocalcin/metabolism* ; Cells, Cultured ; Cell Differentiation/drug effects*

Objective : To investigate the effects of sinapine on lung tissue inflammation and mucus hypersecretion in asthmatic mice. Methods: Eight-week-old female C57BL/6J mice were randomly divided into Control group, ovalbumin(OVA) group, Sinapine group, and Sinapine+OVA group. The asthmatic mice model were established by intraperitoneal injection of OVA combined with aluminum hydroxide [Al(OH)3] suspension and OVA nasal stimulation. One hour before OVA nasal stimulation, the mice in Sinapine+OVA group and Sinapine group were intraperitoneally injected with sinapine solution, and the mice in OVA group and Control group were treated with the same dose of 0.9% sodium chloride solution. 24 hours after the last OVA stimulation, the inflammation of lung tissue of mice were observed by HE staining; the mucus secretion were evaluated by PAS staining; the mRNA expression levels of Interleukin-4(IL-4), Interleukin-5(IL-5), Interleukin-13(IL-13), tumor necrosis factor-alpha(TNF-α), Mucin 5ac(Muc5ac), and the mRNA of the key genes of Notch pathway such as Notch receptor 1(Notch1), Notch receptor 2(Notch2), Notch receptor 3(Notch3), and hes family bHLH transcription factor 1(Hes1) in lung tissues were detected by real-time fluorescent quantitative PCR(RT-qPCR); the expression levels of Notch1, Notch2, Notch3 and Hes1 proteins were determined by Western blot. Results : Compared with Control group, the inflammation score and PAS score of lung tissues of mice in OVA group increased(P<0.001); the mRNA expression levels of IL-4, IL-5, IL-13, TNF-α, and Muc5ac of mice in OVA group were enhanced(P<0.05); the mRNA and protein expression levels of Notch2, Notch3, and Hes1 of mice in OVA group significantly increased(P<0.001), while there was no significant difference in the mRNA and protein expression levels of Notch1. Compared with OVA group, the inflammation score and PAS score of lung tissues of mice in Sinapine+OVA group decreased(P<0.001); the mRNA expression levels of IL-4, IL-5, IL-13, TNF-α, and Muc5ac of mice in Sinapine+OVA group were reduced(P<0.05); the mRNA and protein expression levels of Notch2, Notch3, and Hes1 of mice in Sinapine+OVA group were downregulated(P<0.05), while there was no significant difference in the mRNA and protein expression levels of Notch1. Conclusion Sinapine can alleviate the lung tissue inflammation and mucus hypersecretion in asthmatic mice, and its mechanism may be related to the inhibition of Notch2/Notch3-Hes1 signal pathway.

Objective To investigate the relationship between serum microRNA-30a-5p(miR-30a-5p),Runt-associated transcription factor 2(RUNX2)and the severity and prognosis of patients with sepsis-induced acute lung injury(ALI).Methods A total of 193 patients with sepsis-induced ALI(ALI group)and 54 pa-tients with simple sepsis(non-ALI group)admitted to the Fifth Affiliated Hospital of Xinjiang Medical Uni-versity from January 2021 to February 2024 were selected,and the patients with sepsis-induced ALI were di-vided into a mild ALI group(57 cases),a moderate ALI group(64 cases),and a severe ALI group(72 cases)according to the oxygenation index,and were divided into a death group(71 cases)and a survival group(122 cases)according to the 28 day prognosis situation.Serum miR-30a-5p level was detected by real time fluores-cent quantitative PCR,serum RUNX2 level was detected by enzyme-linked immunosorbent assay,and the binding sites of miR-30a-5p and RUNX2 were predicted by online database.Pearson's correlation coefficient was used to analyze the correlation between miR-30a-5p and RUNX2 in patients with sepsis-induced ALI,and Spearman's correlation coefficient was used to analyze the correlation between serum miR-30a-5p,RUNX2 levels and oxygenation index in patients with sepsis-induced ALI.With the prognosis of patients with sepsis-induced ALI as the dependent variable,multivariate unconditional Logistic regression was used to determine their influencing factors,and receiver operating characteristic curve was plotted to evaluate the prognostic val-ue of serum miR-30a-5p and RUNX2 levels in patients with sepsis-induced ALI.Results Compared with the non-ALI group,serum miR-30a-5p level was lower and RUNX2 level was higher in the ALI group(t=-11.749,11.691,P＜0.001).There was a binding site between miR-30a-5p and RUNX2 at the 3'-untranslat-ed region 3 348-3 354.miR-30a-5p was negatively correlated with RUNX2 in patients with sepsis-induced ALI(r=-0.759,P＜0.001).The level of serum miR-30a-5p increased in the severe ALI group,the moderate ALI group and the mild ALI group in turn(P＜0.001),and the level of RUNX2 decreased in the severe ALI group,the moderate ALI group and the mild ALI group in turn(P＜0.001).Oxygenation index was negative-ly correlated with serum miR-30a-5p level(r=-0.749,P＜0.001),and positively correlated with RUNX2 level in patients with sepsis-induced ALI(r=0.723,P＜0.001).Independent protective factors for death in patients with sepsis-induced ALI were increased oxygenation index(OR=0.988,95％CI:0.981-0.996,P＜0.05),elevated miR-30a-5p(OR=0.814,95％CI:0.744-0.892,P＜0.05),and independent risk factors were increased Sequential Organ Failure Assessment(SOFA)score(OR=1.391,95％CI:1.116-1.734,P＜0.05),elevated blood lactate(OR=1.824,95％CI:1.211-2.748,P＜0.05),and elevated RUNX2(OR=1.366,95％CI:1.170-1.595,P＜0.05).The area under the curve of serum miR-30a-5p and RUNX2 levels combined to predict the death in patients with sepsis-induced ALI was 0.895(95％CI:0.842-0.934),which was greater than 0.788(95％CI:0.724-0.844)of serum miR-30a-5p and 0.786(95％CI:0.721-0.842)of RUNX2 levels alone(Z=4.015,3.746,P＜0.001).Conclusion Increased miR-30a-5p level and decreased RUNX2 level are associated with the aggravation of the disease and the increased risk of death in patients with sepsis-induced ALI.The combination of serum miR-30a-5p and RUNX2 levels has relatively high value in pre-dicting the prognosis of patients with sepsis-induced ALI.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

Objective To investigate the factors influencing pathologic complete response(pCR)after neoadjuvant chemotherapy(NAC)and its correlation with prognosis in patients with human epidermal growth factor receptor 2(HER2)-low breast cancer.Methods A retrospective analysis was conducted on patients with HER2-low breast cancer who underwent NAC at the Second Affiliated Hospital of Jiujiang College from February 28,2018 to February 28,2021.Patients were divided into pCR group(achieved pCR,n=143)and non-pCR group(did not achieve pCR,n=300)based on pCR status.General clinicopathological data were collected and compared between the two groups,including age,surgical method,NAC regimen,postoperative radiotherapy,clinical tumor stage,tumor cT stage,tumor cN stage,pathological type,tumor Nottingham grade,hormone receptor(HR)status,Ki-67 status,menopausal status,and endocrine therapy.Binary logistic regression analysis was used to identify factors influencing pCR after NAC.Propensity score matching(1:1)was employed to balance baseline characteristics between the two groups.The matched groups'baseline data were compared.Kaplan-Meier method was used for survival analysis of the matched cohorts.Multivariate Cox proportional hazards regression models were used to analyze the independent influence of pCR on disease-free survival(DFS)and overall survival(OS)in HER2-low breast cancer after matching.Results A total of 443 patients with HER2-low breast cancer receiving NAC were included,with a mean age of(49.5±8.0)years.Binary logistic regression analysis identified clinical tumor stage(OR=0.498,95%CI 0.267-0.930),HR status(OR=0.513,95%CI 0.328-0.801),Ki-67 status(OR=2.580,95%CI 1.366-4.874),tumor Nottingham grade Ⅲ(OR=3.197,95%CI 1.147-8.910),and endocrine therapy(OR=0.513,95%CI 0.328-0.801)as independent factors influencing pCR after NAC(P<0.05).After propensity score matching,80 patients remained in each group(PCR and non-PCR).No significant differences were found in clinicopathological characteristics between the matched groups(P>0.05).The median follow-up time was 45.0 months(95%CI 43.1-46.9)for pCR group and 43.0 months(95%CI 41.0-45.0)for non-pCR group.The DFS rate was significantly higher in pCR group than that in non-pCR group(87.5%vs.70.0%,P=0.004),but there was no significant difference in OS rate(88.8%vs.85.0%,P=0.438).Multivariate Cox regression analysis showed that pCR was an independent factor influencing on DFS(HR=0.312,95%CI 0.142-0.688,P=0.004),but not OS in HER2-low breast cancer patients.Conclusions Patients with HER2-low breast cancer who have a lower clinical tumor stage,HR-negative status,high Ki-67 expression,high tumor Nottingham grade,and absence of endocrine therapy are more likely to achieve pCR.Achieving pCR prolongs DFS significantly but does not significantly improve OS in these patients.