As a mature neuromodulation technique with sufficient evidence and wide application， transcranial magnetic stimulation （TMS） has become a highly promising approach for the treatment of insomnia disorder. However， there is still a lack of unified standards for formulation of treatment regimens， technical operations， indications and contraindications， treatment of adverse reactions， and application in special populations. In order to standardize the application of TMS in the diagnosis and treatment of insomnia disorder， Professional Committee of Sleep and Neuromodulation of Chinese Sleep Research Society organized the compilation of the technical specifications. This document systematically elaborates on the technical principles and stimulation modes of TMS， summarizes the clinical evidence for its application in the treatment of primary insomnia disorder and comorbid conditions such as depression and cognitive impairment， clarifies the key points for formulating treatment regimens （including stimulation coils， targets， modes， and intensity）， refines the technical specifications such as treatment room setup， personnel qualifications， operation procedures， and efficacy evaluation， and provides recommendations for the management of adverse reactions and principles for use in special populations， which provides a comprehensive expert consensus and practical guidance for the standardized clinical application of TMS in the treatment of insomnia disorder.

AIM: To investigate expression differences and mechanism of action of serine/threonine kinase 1(AKT1), ATP synthase F1 subunit(ATP5F1), and Bcl-2-associated anti-apoptotic gene 3(BAG3)in the occurrence and progression of pterygium.METHODS:Pterygium-related gene expression data were retrieved from GEO database to screen differentially expressed genes(DEGs). String and Cytoscape were used to construct protein-protein interaction(PPI)networks and identify core targets. GO/KEGG enrichment analyzed mitochondrial metabolic pathways. The pterygium samples(head/body)were collected; pathological features were evaluated by HE staining, and the expression of AKT1, ATP5F1, and BAG3 was detected via immunohistochemistry(IHC).RESULTS:A total of 1 264 DEGs were identified(585 upregulated, 679 downregulated). GO analysis showed significant enrichment of mitochondrial pathways regarding to biological processes, cell components and molecular functions; KEGG analysis highlighted oxidative phosphorylation and chemical carcinogenesis-reactive oxygen species(ROS)pathways. The head and body pterygium samples were collected from 28 cases(28 eyes)that received pterygium surgery, including 7 males(7 eyes)and 21 females(21 eyes), with a mean age of 69.32±8.98 years. HE staining showed more severe dysplasia, disordered stroma, and inflammation in the pterygium head versus the body. IHC detection confirmed significantly lower AKT1, ATP5F1, and BAG3 expression in the head compared with the body(all P<0.05).CONCLUSION:GEO-based bioinformatics and experiments confirmed that AKT1/ATP5F1/BAG3(mitochondrial genes)had significant differential expression in pterygium, correlating with pathological progression. They may regulate mitochondrial metabolism to mediate pterygium progression, offering new insights for targeted therapy.

ObjectiveTo investigate the effect and underlying mechanism of the Wulao Qisun prescription on pathological new bone formation in ankylosing spondylitis （AS）. MethodsSynovial fibroblasts were isolated from the hip joints of AS patients and observed under a microscope to assess cell morphology. The cells were identified using immunofluorescence staining. The isolated AS fibroblasts were divided into blank group， low drug-containing serum group， medium drug-containing serum group， high drug-containing serum group， and positive drug group. After drug intervention， cell proliferation was measured using the cell counting kit-8 （CCK-8） assay to observe fibroblast growth and determine the optimal intervention time. Alkaline phosphatase （ALP） activity was measured using the alkaline phosphatase assay. Protein expression of osteocalcin （OCN）， osteopontin （OPN）， and runt-related transcription factor 2 （Runx2） was detected by Western blot. The mRNA expression levels of Wnt5a， β-catenin， and Dickkopf-1 （DKK-1） were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， each drug-containing serum group of Wulao Qisun prescription and the positive drug group inhibited the proliferation of AS fibroblasts and reduced ALP expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription downregulated β-catenin mRNA expression （P<0.05）. The medium and high drug-containing serum groups and the positive drug group significantly downregulated Wnt5a and β-catenin mRNA expression （P<0.05， P<0.01）， with the positive drug group showing the most pronounced effect （P<0.01）. The high drug-containing serum group and the positive drug group significantly upregulated DKK-1 mRNA expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription inhibited the expression of OPN and Runx2 proteins （P<0.05， P<0.01）， while the medium and high drug-containing serum groups and the positive drug group inhibited the expression of OCN， OPN， and Runx2 proteins （P<0.05， P<0.01）. ConclusionThe Wulao Qisun prescription can inhibit the proliferation and osteogenic differentiation of AS fibroblasts， thereby delaying the formation of pathological new bone in AS. The possible mechanism involves the regulation of Wnt/β-catenin-related gene expression， further inhibiting the transcription of downstream target genes.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To investigate the detection conditions,risk factors and preventive measures of colorectal polyps in health examination population undergoing painless colonoscopy.Methods A total of 2 680 people who underwent painless colonoscopy at the Health Management Center of the First Affiliated Hospital of Naval Medical University from January to December 2023 were enrolled in this retrospective study.They were assigned into polyp group and non-polyp group according the examination results.The general information of the two groups was collected to explore the risk factors of colorectal polyps,so as to provide reference for the prevention strategy of colorectal polyps.Results The colorectal polyps were detected in 1 223 people(45.63%),including 633 cases(51.76%)of adenomatous polyps,587 cases(48.00%)of non-adenomatous polyps,and 3 cases(0.25%)of colorectal cancer.Logistic regression analysis indicated that male,smoking history,alcohol drinking history,age 40-59 years old,hyperlipidemia,and CRP>10 mg/L were risk factors of colorectal polyps(P<0.05).Conclusion There is a high detection rate of colorectal polyps in physical examination population.Men,aged 40-59 years old,hyperlipidemia,smoking history,alcohol drinking history,and CRP>10 mg/L are high risk factors of colorectal polyps,which should be paid more attention for the prevention and monitoring of colorectal polyps.

Objective To identify the impact of glucose variability(GV)on the development of gestational hyper-tension(GH)in patients with gestational diabetes mellitus(GDM),and to find the differences between various GV metrics as well as to evaluate their predictive value in management strategy development.Methods A total of 127 pregnant women diagnosed with GDM were included in this study.After the diagnosis of GDM,continuous glu-cose monitoring(CGM)and blood pressure measurements were performed,and the occurrence of gestational hyper-tensive disorders was recorded.Indices of glucose variability were calculated using an automated software EasyGV version 9.0.Results The results revealed an association between gestational hypertension and glucose variability in GDM patients.Among the study participants,2 cases(1.6％)were diagnosed with preeclampsia and 9 cases(7.1％)were diagnosed with gestational hypertension.TBR％(time below range)showed a significantly negative correlation with diastolic blood pressure at 29-32 weeks of gestation and with both diastolic and systolic blood pres-sure during delivery.TIR％(time in range)showed a negative correlation with the rate of change in systolic blood pressure between two prenatal visits.CONGA(continuous overlapping net glycemic action)emerged as an inde-pendent predictor of gestational hypertension(OR:3.648;95％CI:1.046,12.721;P=0.042).When CONGA exceeded 4.856,the risk of gestational hypertension in GDM patients increased.Conclusions Blood glucose varia-tion is an independent factor affecting the occurrence of pregnancy-induced hypertension in GDM women.This study suggests new targets for the use and management of CGM in pregnant women with GDM.For GDM patients at high risk of hypertensive disease during pregnancy,blood glucose should be kept at a reasonable and stable level.

Objective To evaluate the clinical value of a modified Cancer and Aging Research Group(CARG)model in guiding anticancer drug dose adjustments for elderly cancer patients in China.Methods This prospective study enrolled patients aged≥65 years with solid tumors at the Department of Oncology,Peking Union Medical College Hospital from September 1,2022 to October 29,2023.All patients underwent comprehensive geriatric assessment(CGA)and CARG risk scoring,and were stratified into low-,intermediate-,and high-risk groups.Anti-cancer drug doses(including chemotherapy,targeted therapy or immunotherapy)were reduced proportionally based on CARG risk stratification and treatment intent(curative vs.palliative).Treatment outcomes and adverse events(AEs)were recorded regularly.Fisher's Exact Test compared AE incidence between the CARG-guided dose adjust-ment group(experimental)and the physician-experience-guided dose adjustment group(control).Receiver operating characteristic(ROC)curve analysis was used to assess the predictive value of the CARG model for severe toxicity.Results Among 166 enrolled patients(median age:71 years[range:65-90];78.3%were male;68.7%had gastro-intestinal cancers;69.3%had stageⅣ),95 were assigned to the experimental group(CARG low-risk:24[25.3%],intermediate-risk:51[53.7%],high-risk:20[21.0%])and 71 were included into the control group.By December 31,2024,81 patients experienced disease progression and 10 patients died.Overall AE rates was 92.6%in the ex-perimental group and 94.4%in the control group,while grade≥3 AEs were recorded in 45.3%vs.43.7%,respec-tively(both P＞0.05).Conclusions The modified CARG model-guided dose adjustment strategy achieved comparable safety to empirical dose adjustment,which is in line with the individualized treatment paradigm for elderly cancer pa-tients,representing a structured framework for optimizing therapeutic decision-making in geriatric oncology.