Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

Atractylodes lancea is a perennial herbaceous plant of Asteraceae, with rhizomes for medical use. However, A. lancea plants from different habitats have great variability, and the germplasm resources of A. lancea are unclear and mixed during production. Therefore, it is urgent to protect new varieties of A. lancea. The distinctness, uniformity, and stability(DUS) testing of new plant varieties is the foundation of plant variety protection, and the DUS testing guidelines are the technical basis for variety approval agencies to conduct DUS testing. In this study, the phenotypic traits of 94 germplasm accessions of A. lancea were investigated considering the breeding and variety characteristics of A. lancea in China. The traits were classified and described, and 24 traits were preliminarily determined, including 20 basic traits that must be tested and four traits selected to be tested. The 20 basic traits included 3 quality traits, 5 false quality traits, and 12 quantitative traits, corresponding to 1 plant traits, 2 stem traits, 8 leaf traits, 6 flower traits, and 3 seed traits. The measurement ranges and coefficients of variation of eight quantitative traits were determined, on the basis of which the grading criteria and codes of the traits were determined and assigned. The guidelines has guiding significance for the trait evaluation, utilization, and breeding of new varieties of A. lancea.
Atractylodes/growth & development* ; China ; Phenotype ; Guidelines as Topic ; Plant Breeding

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Moringa oleifera, widely utilized in Ayurvedic medicine, is recognized for its leaves, seeds, and velamen possessing traditional effects such as vātahara(wind alleviation), sirovirecaka(brain clearing), and hridya(mental nourishment). This study aims to identify the medicinal part of ■ in the Sārasvata ghee formulation as described in the Bower Manuscript, while investigating the ameliorative effects of different medicinal parts of M. oleifera on learning and memory deficits in mice and elucidating the underlying molecular mechanisms. A total of 144 male ICR mice were randomly assigned to the following groups: control, model(scopolamine hydrobromide, Sco, 2 mg·kg~(-1)), donepezil(donepezil hydrochloride, Don, 3 mg·kg~(-1)), M. oleifera leaf low-, medium-, and high-dose groups(0.5, 1, 2 g·kg~(-1)), M. oleifera seeds low-, medium-, and high-dose groups(0.25, 0.5, 1 g·kg~(-1)), and M. oleifera velamen low-, medium-, and high-dose groups(0.31, 0.62, 1.24 g·kg~(-1)). Learning and memory abilities were assessed using the passive avoidance test and Morris water maze. Nissl and HE staining were employed to examine histopathological changes in the hippocampus. Transcriptomics and targeted metabolomics were used to screen differential genes and metabolites, with MetaboAnalyst 6.0 and O2PLS methods applied to identify key disease-related targets and pathways. RESULTS:: demonstrated that M. oleifera leaf(1 g·kg~(-1)) significantly ameliorated Sco-induced learning and memory deficits, outperforming M. oleifera seeds(0.25 g·kg~(-1)) and M. oleifera velamen(1.24 g·kg~(-1)). This was evidenced by improved behavioral performance, reversal of neuronal damage, and reduced acetylcholinesterase(AChE) activity. Multi-omics analysis revealed that M. oleifera leaf upregulated Tuba1c gene expression through the synaptic vesicle cycle, enhancing glutamate(Glu), dopamine(DA), and acetylcholine(ACh) release via Tuba1c-Glu associations for neuroprotection. M. oleifera seeds targeted the dopaminergic synapse pathway, promoting memory consolidation through Drd2-ACh associations. M. oleifera velamen was associated with the cocaine addiction pathway, modulating dopamine metabolism via Adora2a-DOPAC, with limited relevance to learning and memory. In conclusion, M. oleifera leaf exhibits superior efficacy and mechanistic advantages over M. oleifera seeds and velamen, suggesting that the ■ in the Sārasvata ghee formulation is likely M. oleifera leaf, providing scientific evidence for its identification in ancient texts.
Animals ; Moringa oleifera/chemistry* ; Male ; Mice ; Seeds/chemistry* ; Plant Leaves/chemistry* ; Mice, Inbred ICR ; Memory Disorders/psychology* ; Transcriptome/drug effects* ; Memory/drug effects* ; Learning/drug effects* ; Metabolomics ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Maze Learning/drug effects*

Specific learning disorder (SLD) is a common neurodevelopmental disorder in children that significantly affects academic performance and quality of life. At present, diagnosis mainly relies on standardized tests and professional evaluations, a process that is complex and time-consuming. Multiple studies have shown that machine learning can analyze diverse data, including test scores, handwriting samples, eye movement data, neuroimaging data, and genetic data, to automatically learn the relationships between input features and output labels and achieve efficient prediction. It shows great potential for early screening, auxiliary diagnosis, and research on underlying mechanisms in SLD. This article reviews the applications of machine learning in the auxiliary diagnosis of SLD and discusses its performance when handling different data types.
Humans ; Machine Learning ; Specific Learning Disorder/diagnosis* ; Child

Objective:To explore the clinical application of Hisense Computer-Assisted Sur-gery System(CAS)in the perioperative period of hepatectomy for liver cancer.Methods:Clinical data of patients undergoing laparoscopic hepatectomy(LH)for liver cancer from January 2021 to December 2022 were collected.Patients were divided into three groups based on surgical difficulty(low,medium,high)and further stratified into CAS-assisted subgroup and control subgroup ac-cording to whether the CAS system was used.Demographic and perioperative data were com-pared among different groups.Results:A total of 317 patients'clinical data were collected,in-cluding 31 cases in the low difficulty group,132 cases in th medium difficulty group,and 154 cases in the high difficulty group,with 108 cases(34.1％)in the CAS-assisted subgroup and 209 cases(65.9％)in the control group.In the medium difficulty group,the CAS-assisted subgroup had shorter operation time,drainage tube duration,and postoperative hospital stay compared to the control group(P＜0.001),and the AFP levels at 1 month postoperatively in the CAS-assisted sub-group were lower than those in the control group(P＜0.001).In the high difficulty group,the CAS-assisted subgroup showed shorter operation time,drainage tube duration,and postoperative hospi-tal stay,less intraoperative blood loss,and lower AFP levels 1 month post-operation compared to the control group(P＜0.001 for all).Conclusion:Preoperative CAS in medium and high difficulty laparoscopic liver resections improves perioperative outcomes.Hisense CAS effectively assists general surgeons in accurately identifying the anatomical site of liver tumors,providing precise pre-operative simulation and intraoperative navigation,thereby optimizing surgical strategies for pa-tients.

AIM To investigate the effects of Xinyue Capsules on the expression of glycerophospholipid metabolizing enzymes in isoproterenol(ISO)-induced rat heart tissue and primary myocardial cells of neonatal rats.METHODS The SD rats were randomly divided into the normal group,the model group,the Xinyue Capsules intervention group and Xinyue Capsules control group,with 8 rats in each group.The rat model of cardiac hypertrophy was established by 14 days consecutive intraperitoneal injection of ISO(30 mg/kg).Prior to the modeling,once daily administration of 0.393 g/kg Xinyue Capsules was given by gavage from 3 days in advance to the end of the experiment.After the last administration,the procurement of blood from abdominal aorta,the left and right ventricles were processed.And the rats had their indices levels of the heart,the left ventricle and the right ventricle measured;their pathomorphological changes of myocardial tissue observed using HE staining;their expressions of cardiac hypertrophy-related myocardial embryonic genes ANP,β-MHC and α-SKA mRNA detected using RT-qPCR method;and their serum TC,TG,LDL-C and HDL-C levels detected by biochemical method.In in vitro experiment,the neonatal rat model of myocardial hypertrophy was induced by exposure to ISO 1 μmol/L for 24 h.The investigation of the effect of Xinyue Capsules 12.5 μg/mL on ISO-induced myocardial hypertrophy was conducted by detection of myocardial cell area,embryo genes related to cardiac hypertrophy and myocardial cells protein cuntent.The further anti-cardiac hypertrophy mechanism of Xinyue Capsules research was conducted using RT-qPCR and Western blot to detect the gene and protein expressions of phospholipase A2(PLA2G6),phospholipase A1 member A(PLA1A)and lecithin cholesterol acyltransferase(LCAT)in left ventricle tissue and myocardial cells of each group.RESULTS The in vivo experimental result showed that compared with the normal group,the model group displayed increased indices levels of the heart,the left ventricle and the right ventricle and cross-sectional area of left ventricular myocytes(P＜0.05);and up-regulated expressions of ANP,β-MHC,α-SKA mRNA and PLA2G6,PLA1A and LCAT mRNA and proteins in the left ventricle(P＜0.05);and increased levels of serum TC,TG and LDL-C(P＜0.05);and decreased HDL-C level(P＜0.05).However,the intervention of Xinyue Capsules inhibited the changes of the aforementioned indices(P＜0.05).The in vitro experimental result revealed that Xinyue Capsules inhibited the ISO-induced increases of myocardial cell surface area and myocardial cell protein level,the up-regulation of ANP,β-MHC,α-SKA mRNA expressions and the PLA2G6,PLA1A,LCAT mRNA and protein expressions as well(P＜0.05).CONCLUSION Xinyue Capsules can improve the ISO-induced cardiac hypertrophy in rats,and its mechanism may be associated with its regulation upon the expressions of glycerophospholipid metabolism-related enzymes PLA2G6,PLA1A and LCAT.

Objective To comprehensively excavate and analyze the research status,research hotspots and future trends of the literature related to the field of acupoint catgut embedding therapy for pain treatment in the CNKI database.Methods We searched the CNKI database from its establishment to June 2022,and scientifically analyzed the authors,keywords,and institutions of the included literature of acupoint catgut embedding therapy for pain treatment through specific algorithms of Citespace to generate a visual knowledge map.Results A total of 319 documents were included for statistical analysis,the number of publications in the field of acupoint catgut embedding therapy for the treatment of pain was generally on the rise,the number of publications by various authors was on the low side,and there was a lack of co-operation between the research teams,with the main institutions being the Guang'anmen Hospital,Chinese Academy of Chinese Medical Sciences,Affiliated Hospital of Youjiang Medical Universities of Nationalities and the Guangzhou University of Chinese Medicine,forming a 10-keyword clustering,and the hotspots of diseases under study were mainly mixed haemorrhoids,postoperative pain,low back and leg pain and dysmenorrhoea,etc..The main interventions were pure acupoint catgut embedding therapy and the combination of acupoint catgut embedding therapy and other acupuncture therapies,and the main research method was clinical research.Conclusion Acupoint catgut embedding therapy for the treatment of pain has a good development prospect,the future needs to deepen the clinical research,strengthen the mechanism research,pay attention to the joint use of acupoint catgut embedding therapy and other traditional Chinese medicine methods,and pay attention to the research of different thread materials.

Objective To explore the effects of different acupoints,different target organs,and different interventions on acupoint efficacy based on ACU&MOX-DATA platform;To illustrate and visualize whether the above factors have the characteristics of"specific effect"or"common effect"of acupoint efficacy.Methods The multi-source heterogeneous data were integrated from the original omics data and public omics data.After standardization,differential gene analysis,disease pathology network analysis,and enrichment analysis were performed using Batch Search and Stimulation Mode modules in ACU&MOX-DATA platform under the conditions of different acupoints,different target organs,and different interventions.Results Under the same disease state and the same intervention,there were differences in effects among different acupoints;under the same disease state,the same acupoint and intervention,the responses produced by different target organs were not completely consistent;under the same disease state and acupoint,there were differences in effects among different intervention measures.Conclusion Based on the analysis of ACU&MOX-DATA platform,it is preliminary clear that acupoints,target organs,and interventions are the key factors affecting acupoint efficacy.Meanwhile,the above results have indicated that there are specific or common regulatory characteristics of acupoint efficacy.Applying ACU&MOX-DATA platform to analyze and visualize the critical scientific problems in the field of acupuncture and moxibustion can provide references for deepening acupoint cognition,guiding clinical acupoint selection,and improving clinical efficacy.

Exploring the action targets (groups) of traditional Chinese medicine (TCM) is an important proposition to promote the innovation and development of TCM, but it has attracted a lot of attention as to whether it is related to the efficacy or the disease. Our team found that the metabolomic signature molecules in the development of diabetes mellitus (DM) were significantly associated with the clinical efficacy of Yuquan Pill through a large clinical sample study. Taking this as a clue, our team intends to expand the information on the omics features of DM development, and discover the key targets (groups) and their lead compounds for the hypoglycemic effect of Yuquan Pill. The project includes: ① Based on the retrospective clinical trials, using omics technology integrated with generative artificial intelligence, mining the characteristic information of proteome and microbiome, forming driving factors together with metabolome characteristic molecules, and characterizing the molecular trajectories of diabetes evolution and their interference by Yuquan Pill; ② Taking the evolving molecular trajectories as a link and pointer, using anthropomorphic modeling and molecular biology techniques such as chemical proteomics to discover the key targets (groups) of Yuquan Pill's hypoglycemic effect, with the prospective clinical samples for validation; ③ Evaluate the overall response of key targets (groups) using graph neural network technology, and search for drug-derived/endogenous lead compounds with proven clinical pathologies and clear mechanisms of action, so as to provide a new paradigm and technology for the discovery of complex active ingredient targets (groups) of TCM that are related to their clinical efficacy, as well as for the discovery of innovative medicines.