Objective:To establish the UPLC fingerprint evaluation system of Viticis Fructus; To comprehensively evaluate the quality of Viticis Fructus and its processed products combining with multivariate statistical methods and compositional variance analysis.Methods:19 batches of Viticis Fructus from different regions were collected and processed by frying process into decoction pieces. The separation was operated on Waters CORTECS T3 C18 chromatographic column (100 mm × 2.1 mm, 1.6 μm). Acetonitrile and 0.1% phosphoric acid water were used as mobile phases for gradient elution, to establish the UPLC fingerprints of Viticis Fructus. The UPLC fingerprints of Viticis Fructus were analyzed using similarity evaluation, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA). The contents of seven active components in the samples of Viticis Fructus and fried Viticis Fructus were determined.Results:A total of 26 common peaks were identified in the fingerprints of 38 batches of samples, and 7 components were identified. Similarity evaluation results demonstrated that the chemical components of Viticis Fructus from Jingdezhen City, Jiangxi Province, were significantly different from those of other regions. The results of PCA and PLS-DA analysis showed that the chemical components of Viticis Fructus and fried Viticis Fructus could be clearly distinguished, and the processing process had an impact on the components. The results of content determination showed that the contents of some components increased or decreased after frying. The analysis results of grey correlation method and TOPSIS method show that the medicinal materials in Jiujiang City, Jiangxi Province have a high score ranking and stable quality.Conclusion:This study successfully establishes the fingerprints of Viticis Fructus and its processed products, grey correlation method and TOPSIS method analysis revealed the quality differences of samples from different origins, which providing a scientific basis for the quality control and evaluation of Viticis Fructus and its processed products.

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 effects of surgical timing on incidence of perioperative complications and postoperative 30-day mortality in elderly patients with hip fracture.Methods:The data were retrospectively analyzed of the 450 elderly patients with hip fracture who had been admitted to Department of Joint Surgery, Beijing Shijitan Hospital, Capital Medical University from January 2016 to December 2021. The patients were divided into 2 groups according to the time from admission to surgery. In the early surgery group of 143 cases [41 males and 102 females with an age of 82(75, 86) years], the time from admission to surgery was ≤ 48 hours. In the delayed surgery group of 307 cases [88 males and 219 females with an age of 83(77, 87) years], the time from admission to surgery was over 48 hours. The 2 groups were compared in terms of comorbidities, perioperative complications, death events within postoperative 30 days, ICU transfer rate and total length of hospital stay.Results:There was no significant difference in the preoperative general data like age and gender between the 2 groups, indicating comparability ( P>0.05). The proportions of patients with coronary atherosclerotic heart disease [30.0%(92/307)], a stroke history [19.9%(61/307)], abnormal heart function [55.4%(170/307)] and abnormal kidney function [24.4%(75/307)] in the delayed surgery group were significantly higher than those in the early surgery group [18.2%(26/143), 10.5% (15/143), 39.2%(56/143), and 12.6%(18/143)] ( P<0.05). The proportions of perioperative pulmonary infection [22.5% (69/307)] and urinary infection [21.2%(65/307)] in the delayed operation group were significantly higher than those in the early operation group [11.9%(17/143) and 11.2%(16/143)] ( P<0.05). The total hospital stay in the delayed operation group [18(14, 22) d] was significantly longer than that in the early operation group [14(10, 17) d] ( P<0.05). There was no significant difference in ICU transfer rate or postoperative 30-day mortality between the 2 groups ( P>0.05). Conclusion:For elderly patients with hip fracture, delayed surgery may increase the incidence of pulmonary infection and urinary infection, and extend their total hospital stay, but have no effect on the postoperative 30-day mortality.

Objective:To investigate the effects of surgical timing on incidence of perioperative complications and postoperative 30-day mortality in elderly patients with hip fracture.Methods:The data were retrospectively analyzed of the 450 elderly patients with hip fracture who had been admitted to Department of Joint Surgery, Beijing Shijitan Hospital, Capital Medical University from January 2016 to December 2021. The patients were divided into 2 groups according to the time from admission to surgery. In the early surgery group of 143 cases [41 males and 102 females with an age of 82(75, 86) years], the time from admission to surgery was ≤ 48 hours. In the delayed surgery group of 307 cases [88 males and 219 females with an age of 83(77, 87) years], the time from admission to surgery was over 48 hours. The 2 groups were compared in terms of comorbidities, perioperative complications, death events within postoperative 30 days, ICU transfer rate and total length of hospital stay.Results:There was no significant difference in the preoperative general data like age and gender between the 2 groups, indicating comparability ( P>0.05). The proportions of patients with coronary atherosclerotic heart disease [30.0%(92/307)], a stroke history [19.9%(61/307)], abnormal heart function [55.4%(170/307)] and abnormal kidney function [24.4%(75/307)] in the delayed surgery group were significantly higher than those in the early surgery group [18.2%(26/143), 10.5% (15/143), 39.2%(56/143), and 12.6%(18/143)] ( P<0.05). The proportions of perioperative pulmonary infection [22.5% (69/307)] and urinary infection [21.2%(65/307)] in the delayed operation group were significantly higher than those in the early operation group [11.9%(17/143) and 11.2%(16/143)] ( P<0.05). The total hospital stay in the delayed operation group [18(14, 22) d] was significantly longer than that in the early operation group [14(10, 17) d] ( P<0.05). There was no significant difference in ICU transfer rate or postoperative 30-day mortality between the 2 groups ( P>0.05). Conclusion:For elderly patients with hip fracture, delayed surgery may increase the incidence of pulmonary infection and urinary infection, and extend their total hospital stay, but have no effect on the postoperative 30-day mortality.

Objective To assess causal associations between specific gut microbiota and different types of cancer by using the two-sample Mendelian randomization(MR)analysis method.Methods On the basis of summary statistics of gut microbiota from a genome-wide association study(GWAS)conducted in German population(n=8956),single nucleotide polymorphisms(SNPs)that were significantly associated with 430 gut microbiota features were extracted as instrumental variables(Ⅳs).Summary statistics from the GWAS of 17 types of cancer were used as outcomes.Two-sample MR analysis was used to explore the causal relationship between gut microbiota and pan-cancer,where the analysis results were dominated by inverse variance weighting.Meanwhile,sensitivity analyse of heterogeneity and horizontal pleiotropy test were done to keep the stability of results.Results The genetic susceptibility of 17 gut microbiota features was causally associated with the occurrence and development of 11 different types of cancer,respectively.Conclusion By exploring the causal relationship between different gut microbiota features and pan-cancer,this study has found a potential causal relationship between specific gut microbiota features and cancer,and these gut microbiota may become new biomarkers to provide new ideas for cancer prevention,early screening,and treatment.

Purpose/Significance To construct a named entity corpus of traditional Chinese medicine(TCM)ancient records,and to improve the recognition accuracy and applicability of the general domain named entity recognition(NER)model in the field of TCM ancient records.Method/Process Annotation standards for entities in TCM ancient records are formulated,and 2 384 Xin'an medical records are annotated.A RoBERTa-BiLSTM-CRF model is developed,and word vectors with semantic features are generated using the RoBERTa pre-trained language model.The BiLSTM-CRF model is used to learn the global semantic features of sequences and decode and output the optimal label sequence.Dictionary and rule features are incorporated to enhance the model's capability to recognize entity boundaries and categories.Result/Conclusion The model shows a good recognition effect on the named entity corpus of Xin'an medical cases.Integration of domain terminology dictionaries and rule-based features improves the overall Fl score to 72.8％.

OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.

OBJECTIVE To develop an artificial intelligence-based intelligent auxiliary diagnosis and treatment system for Xin'an medicine to address the challenges of integrating ancient Xin'an medical case records into modern clinical applications.METHODS The project involved structuring and standardizing case records from ancient texts of Xin'an medicine to build a compre-hensive Xin'an medicine database.Advanced techniques,such as data annotation,entity relationship extraction,and data mining,were applied to create a Xin'an medicine knowledge base.Furthermore,a knowledge graph of Xin'an medicine was constructed using techniques for knowledge acquisition,integration,storage,and graph-based question-answering,improving the efficiency of knowl-edge organization and retrieval.The LangChain framework was utilized to connect the Xin'an medicine knowledge base to a large lan-guage model,enabling a model-driven local knowledge base question-answering system.RESULTS The study successfully estab-lished a systematic and standardized knowledge base for Xin'an medical case records.The application of knowledge graph technology provided a clear visualization of Xin'an medicine's knowledge structure,and the development of an intelligent question-answering module significantly improved the efficiency of knowledge management and retrieval.The local knowledge base question-answering sys-tem,powered by a large language model and based on Xin'an medicine's theoretical and practical expertise,delivered accurate diag-nostic and treatment support,promoting the heritage and innovation of Xin'an medicine.CONCLUSION This research validates the feasibility of modernizing traditional medical texts and provides an innovative approach to knowledge development and clinical applica-tion in Chinese medicine.The findings have significant academic value and promising clinical implications.

Objective:To investigate the changing characteristics and stages of balloon pressures in treatment of trigeminal neuralgia by percutaneous balloon compression (PBC), and explore the relations of balloon pressures at different stages with postoperative facial numbness and pain recurrence.Methods:A prospective analysis was performed. Thirty-two patients with primary trigeminal neuralgia, admitted to our hospital from May 2019 to May 2020, were chosen. During surgery, a manometer was connected with computer manometry software to continuously monitor the balloon pressure changes; pear-shaped stage and maintenance stage were named during the balloon pressure changes. The facial numbness occurrence and pain recurrence were assessed by Barrow Institute of Neurology (BNI) facial numbness and pain intensity scales. Robust evaluation method referred to American Institute for Clinical and Laboratory Standardization (CLSI) C28-A2 document was used to determine the reference ranges of balloon pressures at the pear-shaped stage, maintenance stage and whole-process stage (pear-shaped stage+maintenance stage). Spearman rank correlation test was used to analyze the correlations of balloon pressures at the pear-shaped stage, maintenance stage and whole-process stage with facial numbness 24 h and 12 months after surgery, and pain recurrence 6 and 12 months after surgery.Results:Among the 32 patients, pain relief was found in 31 patients and lateral numbness was found in 30 patients 24 h after surgery. Pain recurred 12 months after surgery in 2 patients. The reference ranges of pressure at pear-shaped stage, maintenance stage and whole-process stage were (157.2-128.5) kPa, (136.10-117.9) kPa and (141.9-119.9) kPa, respectively. The pressures at pear-shaped stage, maintenance stage and whole process stage were positively correlated with facial numbness 24 h and 12 months after surgery ( P<0.05); there were negative correlations between pressures at pear-shaped stage and whole-process stage and pain recurrence 6 months after surgery ( P<0.05); pressures at pear-shaped stage, maintenance stage and whole-process stage were negatively correlated with pain recurrence 12 months after surgery ( P<0.05). Conclusion:The lower the balloon pressure during PBC, the more likely it would have pain recurrence after surgery; and the higher the pressure, the more likely it would have facial numbness after surgery; the efficacy of PBC can be maximized when the balloon pressures maintains at adequate ranges ([157.2-128.5] kPa at the pear-shaped stage, [136.1-117.9] kPa at the maintenance stage and [141.9-119.9] kPa at the whole-process stage).

Objective:To investigate the effect of vagus nerve stimulation (VNS) on serum cytokines and neurotransmitters in epilepsy patients with depression.Methods:From March 2015 to 2018, 13 patients with epilepsy combined with depression undergoing VNS surgery in Brain Hospital of Hunan Province were selected as the research objects. The surgical efficacy, depression degree, serum cytokines and neurotransmitter changes before operation, 6 months and 12 months after operation were compared.Results:The effective rate of epilepsy treatment at 6 and 12 months after VNS were 61.5%(8/13) and 76.9%(10/13), respectively. After 6 months and 12 months, Hamiton Depression scale (HAMD) and self-rating depression scale (SDS) scores were significantly lower than those before operation ( P<0.05 or P<0.01). At 6 months after operation, serum 5-hydroxytryptamine (5-HT) level was significantly higher than that before operation, while serum interleukin (IL)-1α, IL-6 and tumor necrosis factor α (TNF- α) were significantly lower than those before operation ( P<0.05 or P<0.01). At 12 months after operation, 5-HT and dopamine (DA) were significantly increased, while IL-1 α, IL-2, IL-6 and TNF -α were significantly decreased ( P<0.05 or P<0.01). Conclusions:VNS may can improve epilepsy and depression by regulating the level of neurotransmitter and serum cytokines.