Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective To compare the clinical efficacy of typeⅡhybrid surgery versus Sun’s surgery in treating acute Stanford A aortic dissection. Methods A retrospective analysis was conducted on the clinical data of patients with acute Stanford A aortic dissection who were treated at the Central Hospital of Wuhan affiliated to Tongji Medical College, Huazhong University of Science and Technology from 2016 to 2022. According to the surgical method, patients were divided into a typeⅡhybrid group and a Sun’s surgery group, and the clinical efficacy of the two groups was compared. Results A total of 52 patients were included, with 22 in the typeⅡhybrid surgery group and 30 in the Sun’s surgery group. The typeⅡhybrid group consisted of 18 males and 4 females, with an average age of (58.18±6.00) years, while the Sun’s surgery group consisted of 22 males and 8 females, with an average age of (53.03±11.89) years. All surgeries were successfully completed. There were 4 (13.3%) perioperative deaths in the Sun’s surgery group, including 2 patients of multiple organ failure, 1 patient of paraplegia, and 1 patient of uncontrollable postoperative bleeding. There was 1 (4.5%) perioperative death in the typeⅡhybrid surgery group, who was suspected of acute coronary syndrome and took a loading dose of dual antiplatelet drugs preoperatively. The patient underwent secondary thoracotomy for hemostasis, was re-cannulated during the operation, and finally died of circulatory failure after implantation of intra-aortic balloon pumping. There was no statistical difference in perioperative mortality between the two groups (P=0.381). Compared with the Sun’s surgery group, the typeⅡhybrid surgery group had shorter cardiopulmonary bypass time [153.00 (135.00, 185.25) min vs. 182.50 (166.50, 196.75) min, P=0.013], aortic cross-clamping time [77.00 (70.50, 92.00) min vs. 102.50 (93.50, 109.75) min, P<0.001], postoperative ICU stay [4.00 (2.83, 6.00) days vs. 8.00 (6.38, 11.78) days, P<0.001], postoperative ventilator support time [72.00 (29.50, 93.25) h vs. 87.65 (39.13, 139.13) h, P=0.138], less intraoperative blood loss [(1586.82±209.41) mL vs. (1 806.00±292.62) mL, P=0.004], postoperative 24 h drainage volume [612.50 (507.50, 762.50) mL vs. 687.50 (518.75, 993.75) mL, P=0.409], and shorter postoperative hospital stay [18.00 (13.00, 20.25) days vs. 22.00 (17.00, 29.25) days, P=0.013]. There was no statistically significant difference in the incidence of other early postoperative complications such as secondary thoracotomy for hemostasis, tracheotomy, renal dysfunction requiring dialysis, stroke, and paraplegia between the two groups (P>0.05). Conclusion For patients with acute Stanford A aortic dissection, typeⅡhybrid surgery is safe and effective; compared with traditional Sun’s surgery, typeⅡhybrid surgery has relatively less trauma, lower incidence of complications, satisfactory short-term results, and further research is needed on long-term prognosis.

The glucagon receptor (GCGR) is a critical target for the treatment of metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and obesity. Activation of GCGR enhances systemic insulin sensitivity through paracrine stimulation of insulin secretion, presenting a promising avenue for treatment. However, the discovery of effective GCGR agonists remains a challenging and resource-intensive process, often requiring time-consuming wet-lab experiments to synthesize and screen potential compounds. Recent advances in artificial intelligence technologies have demonstrated great potential in accelerating drug discovery by streamlining screening and efficiently predicting bioactivity. In the present work, we propose DeepGCGR, a two-layer deep learning model that leverages graph convolutional networks (GCN) integrated with a multiple attention mechanism to expedite the identification of GCGR agonists. In the first layer, the model predicts the bioactivity of various compounds against GCGR, efficiently filtering large chemical libraries to identify promising candidates. In the second layer, DeepGCGR classifies high bioactive compounds based on their functional effects on GCGR signaling, identifying those with potential agonistic or antagonistic effects. Moreover, DeepGCGR was specifically applied to identify novel GCGR-regulating compounds for the treatment of T2DM from natural products derived from traditional Chinese medicine (TCM). The proposed method will not only offer an effective strategy for discovering GCGR-targeting compounds with functional activation properties but also provide new insights into the development of T2DM therapeutics.
Deep Learning ; Drug Discovery/methods* ; Humans ; Diabetes Mellitus, Type 2/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology*

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective:Using graph theory analysis, this study compares the topological and node attributes of the brain network to explore the differences in gray matter structural and functional network topological properties between bipolar depression (BD) patients with and without obsessive-compulsive symptoms (OCS).Methods:A total of 90 BD patients (27 males, 63 females; median age 19.0(22.0, 25.0) years) were recruited from the psychiatric outpatient and inpatient departments of the First Affiliated Hospital of Jinan University between March 2018 and December 2022. Fifty healthy controls (19 males, 31 females; median age: 23.0 (20.0, 27.0) years) were also enrolled. The BD patients were divided into two groups based on the presence of OCS: 53 with OCS (OCS group) and 37 without OCS (NOCS group). Resting-state structural and functional MRI data were collected for all participants to construct gray matter structural and functional networks. Graph therory analysis was applied to calculate network topological metrics such as small-world properties. The structural and functional network topological properties were compared among the BD-OCS, BD-nOCS, and control groups. Partial correlation analysis was conducted to examine the association between network topological metrics with significant group differences and Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores. Support vector machines (SVM) were used with these metrics as classification feature values to improve diagnostic accuracy through pairwise group classification.Results:Structural network analysis of gray matter: compared to HC group, both OCS group and NOCS group showed increased shortest path length and standardized characteristic path length (shortest path length: 0.78 and 0.80 vs. 0.69; normalized characteristic path length: 0.48 and 0.49 vs. 0.43), and decreased global efficiency (0.21 and 0.21 vs. 0.24) compared to the HC group (permutation test, all P<0.05). Compared to NOCS and HC groups, the OCS group showed increased nodal centrality and betweenness centrality in the right rolandic operculum and left superior occipital gyrus (permutation test, all P<0.05). Functional network analysis of gray matter: compared to the NOCS group, the OCS group showed increased node efficiency and decreased betweenness centrality in the cerebellum ( t=2.15, -3.04; all P<0.05); compared to HC groups, the OCS group showed decreased betweenness centrality in the cerebellum and left inferior frontal gyrus, along with increased node centrality and nodal efficiency in the right transverse temporal gyrus ( t=-2.99, -3.61, 3.06, 3.10; all P<0.05). In the OCS group, betweenness centrality in the left inferior frontal gyrus positively correlated with Y-BOCS scale obsessive thinking score ( r=0.303, P=0.034). Nodal centrality and node efficiency of the right transverse temporal gyrus negatively correlated with Y-BOCS total score ( r=-0.301, -0.311) and Y-BOCS obsessional thinking scores ( r=-0.385, -0.380) separately(all P<0.05). SVM classification: the combined network features achieved an area under the curve of 0.80 in distinguising OCS from NOCS patients. Conclusion:BD-OCS and BD-nOCS patients both exhibit consistent changes in gray matter structural network topology, with the OCS group displaying more pronounced nodal topological abnormalities. Multi-network feature integration demostrates potential for diagnostic classfication.

Objective:A systematic evaluation of the real experiences and needs of carers of children with attention deficit hyperactivity disorder (ADHD), provide a reference point for developing individualized support strategies.Methods:Computerized searches were conducted for qualitative studies on the experience of caregivers of children with ADHD in Web of Science, PubMed, Scopus, Embase, PsycINFO, Cinahl, Cochrane Library, China Knowledge Network (CKN), Wipro database, Wanfang database, and China Biomedical Literature Database (CBM). The search timeframe was from the construction of the database to July 2024, and the quality of the included literature was evaluated according to the JBI Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research, and the results were integrated using Meta-integration methods.Results:The final inclusion of 15 papers distilled 64 themes into 10 categories, resulting in 3 integrative outcomes: caregiving experiences affect carers in many ways; carers face multiple challenges in coping with illness; positively commissioned and benefited from growth with multiple sources of support.Conclusions:Healthcare professionals should increase the importance and support of carers of children with ADHD, develop specialised guidance strategies to reduce the burden of care, and reinforce positive emotions to assist with positive coping.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective:A systematic evaluation of the real experiences and needs of carers of children with attention deficit hyperactivity disorder (ADHD), provide a reference point for developing individualized support strategies.Methods:Computerized searches were conducted for qualitative studies on the experience of caregivers of children with ADHD in Web of Science, PubMed, Scopus, Embase, PsycINFO, Cinahl, Cochrane Library, China Knowledge Network (CKN), Wipro database, Wanfang database, and China Biomedical Literature Database (CBM). The search timeframe was from the construction of the database to July 2024, and the quality of the included literature was evaluated according to the JBI Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research, and the results were integrated using Meta-integration methods.Results:The final inclusion of 15 papers distilled 64 themes into 10 categories, resulting in 3 integrative outcomes: caregiving experiences affect carers in many ways; carers face multiple challenges in coping with illness; positively commissioned and benefited from growth with multiple sources of support.Conclusions:Healthcare professionals should increase the importance and support of carers of children with ADHD, develop specialised guidance strategies to reduce the burden of care, and reinforce positive emotions to assist with positive coping.