Cong Chen

Annotation and indexing of classical Chinese medical texts enable the extraction of core information, facilitating structured annotation and standardised indexing. These processes provide essential support for knowledge retrieval, digital utilisation, and in-depth analysis of these texts. Recent advances in digital technologies have opened new possibilities for annotation and indexing, offering transformative approaches to address challenges arising from the abstract, concise, and complex nature of classical Chinese medical literature. However, existing research has largely overlooked the intrinsic interconnection and synergistic mechanisms between annotation and indexing within the workflow. This study examines annotation and indexing as an integrated whole, reviewing the current state of research, identifying existing challenges, and proposing future directions. The findings reveal that major challenges in the annotation and indexing of classical Chinese medical texts centre on four key areas: cultural connotation, rule formulation, result dissemination, and technical algorithms. Addressing these issues requires a systematic approach, including the development of a cultural heritage framework for Traditional Chinese Medicine, the establishment of standardised annotation and indexing principles, the construction of high-quality corpora, the optimisation of data circulation mechanisms, and the refinement of intelligent algorithms. Advancing the annotation and indexing of classical Chinese medical texts not only promotes their efficient circulation and secondary utilisation but also lays a solid foundation for the large-scale mining of Traditional Chinese Medicine knowledge, its modern transmission, and cross-disciplinary intelligent applications, thereby driving the innovative development of the field.

Traditional Chinese medicine (TCM) is a combination of raw herbs and herbal extracts with a plethora of documented beneficial bioactivities, which has unique advantages in anti-tumor therapy, and many of its major bioactive molecules have been identified in recent years due to advances in chemical separation and structural analysis. However, the major chemical classes of plant-derived bioactive compounds frequently possess chemical properties, including poor water solubility, stability, and bioavailability, that limit their therapeutic application. Alternatively, natural small molecules (NSMs) containing these components possess modifiable groups, multiple action sites, hydrophobic side chains, and a rigid skeleton with self-assembly properties that can be exploited to construct self-assembled nanoparticles with therapeutic effects superior to their individual constituents. For instance, the construction of a self-assembled nanodrug delivery system can effectively overcome the strong hydrophobicity and poor in vivo stability of NSMs, thereby greatly improving their bioavailability and enhancing their anti-tumor efficacy. This review summarizes the self-assembly methods, mechanisms, and applications of a variety of NSMs, including terpenoids, flavonoids, alkaloids, polyphenols, and saponins, providing a theoretical basis for the subsequent research on NSMs and the development of SANDDS.

Background: Heart failure (HF) is the end stage of the development of heart disease, whose prognosis is poor. The previous research of our team indicated that the formulae containing Aconiti Lateralis Radix Praeparata and Lepidii Semen Descurainiae Semen (ALRP-LSDS) could inhibit myocardial hypertrophy, inhibit cardiomyocyte apoptosis, delay myocardial remodeling (REM), and improve the prognosis of patients with HF effectively. In order to explore the mechanism of ALRP-LSDS for the treatment of HF, a combined approach of network pharmacology and molecular docking was conducted. Methods: Public database TCMSP was used to screen the active compounds of ALRP-LSDS. The targets of screened active compounds were obtained from the TCMSP database and predicted using the online analysis tool PharmMapper. The targets of HF were obtained from 6 databases including GeneCards, OMIM, DrugBank, TTD, PharmGKB, and DisGeNET. Protein–protein interaction and enrichment analysis were performed, respectively, by STRING and Metascape online tools after merging the targets of active compounds and HF. Cytoscape software was used to conduct networks. Finally, molecular docking was performed by Vina to verify the correlation between key targets and active compounds. Results: Final results indicated that the active compounds including β-sitosterol, isorhamnetin, quercetin, kaempferol, and (R)-norcoclaurine, the targets including AKT1, CASP3, and MAPK1 might be the main active compounds and key targets of ALRP-LSDS for the treatment of HF separately. The binding ability of AKT1 to the main active compounds was better compared with the other 2 key targets, which means it might be more critical. The pathways including AGE-RAGE signaling pathway in diabetic complications, Pathways in cancer, and Fluid shear stress and atherosclerosis might play important roles in the treatment of HF with ALRP-LSDS. In general, ALRP-LSDS could inhibit cardiomyocyte apoptosis, delay REM, and improve cardiac function through multicompound, multitarget, and multipathway, which contributes to the treatment of HF. Conclusions: Based on the combined approach of network pharmacology and molecular docking, this study screened out the main active compounds, key targets, and main pathways of ALRP-LSDS for the treatment of HF, and revealed its potential mechanisms, providing a theoretical basis for further research.

Objective. To systematically evaluate the efficacy and safety of Banxia (Pinellia Tuber) formulae in the treatment of insomnia compared with those of conventional western medicines. Methods. Randomized controlled trials (RCTs) evaluating the efficacy and safety of Banxia formulae in the treatment of insomnia were searched from the following databases: PubMed, Cochrane Library, EMBASE, the China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals Database (VIP), and Wanfang database. The literature collected was from the time when the databases were established to April 2020. Quality assessment and meta-analysis were conducted by using Cochrane bias risk assessment tool and RevMan 5.2, respectively. Publication bias was assessed by Eggers test. Results. Fourteen RCTs with 910 participants were identified. A total of 46 traditional Chinese medicines involving 2 different dosage forms were used in the included studies. Meta-analysis indicated that Banxia formulae had more significant effects on improving the total effective rate (RR=1.23, 95 CI 1.16 to 1.31), Pittsburgh Sleep Quality Index (PSQI, MD=1.05, 95 CI 1.63 to 0.47), and the TCM syndrome score (SMD=0.78, 95 CI 1.18 to 0.39). Meanwhile, on reducing adverse events, Banxia formulae also showed an advantage (RR=0.48, 95 CI 0.24 to 0.93). Conclusion. According to the current studies, the efficacy of Banxia formulae in the treatment of insomnia is better than that of the conventional western medicines, and its safety is relatively stable. However, due to the limitations of this study, further research and evaluation are needed.