Novel drug discovery from the active ingredients of traditional Chinese medicine is the most distinctive feature and advantageous field of China, which has provided an unprecedented opportunity. However, there are still problems such as unclear functional substance basis, action targets and mechanism, which greatly hinder the clinical transformation of active ingredients in traditional Chinese medicine. Based on the analysis of the current status and progress of innovative drug research and development in China, this paper aimed to explore the prospect and difficulties of the development of natural active ingredients from traditional Chinese medicine, and to explore the efficient discovery of trace active ingredients in traditional Chinese medicine, and obtain drug candidates with novel chemical structure, unique target/mechanism and independent intellectual property rights, in order to provide a new strategy and a new model for the development of natural medicine with Chinese characteristics.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal/chemistry* ; Research ; Drug Discovery ; China

In this study, an overview of systematic reviews/Meta-analysis(SR/MA) of Chinese herbal injections for sepsis was performed to provide references for clinical practice and promote the quality improvement of clinical evidence. Eight Chinese and English databases such as CNKI, Medline, and EMbase were electronically searched for SR/MA of Chinese herbal injections for sepsis from database inception to June 2022. AMSTAR 2, PRISMA 2020, and GRADE system, combined with Recommendations for Clinical Evidence Grading on Traditional Chinese Medicine Based on Evidence Body, were applied to evaluate the methodological quality, reporting quality, and evidence quality of the included articles. Twenty-seven articles of SR/MA were included, containing four Chinese herbal injections(Xuebijing Injection, Shenfu Injection, Shenmai Injection, and Shengmai Injection). AMSTAR 2 checklist showed that the methodological quality of the SR/MA ranged from moderate to very low. Item 2(prior study design) was the critical item with poor scores, and the non-critical items with poor scores were items 3(explain the selection of the study designs), items 10(report on the sources of funding), and items 16(conflicts of interest stated). In terms of PRISMA 2020, items in eight topics with complete reporting of missing>50%, including search strategy, certainty assessment, results of syntheses, certainty of evidence, registration and protocol, support, competing interests, availability of data, code and other materials. The included SR/MA involved 30 outcome indicators. Evidence quality of mortality, APACHE Ⅱ, and safety, the top three outcome indicators, was evaluated, and all of them were graded as the medium level. The lack of random allocation sequence, allocation concealment mechanism, blinding, and trial sample size was the main reason for the reduction of the evidence level. The available evidence shows that Chinese herbal injections can serve as an effective and safe adjunctive treatment for sepsis, which can reduce mortality, inhibit inflammation, improve coagulation function, and regulate immune function, tissue perfusion, and oxygenation in patients with sepsis. However, the quality of SR/MA was suboptimal, and more high-quality SR/MA is needed to provide evidence to support the efficacy and safety of Chinese herbal injections in the treatment of sepsis.
Humans ; Injections ; Medicine, Chinese Traditional ; Research Design ; Sepsis/drug therapy*

With the advances in medicine, people have deeply understood the complex pathogenesis of diseases. Revealing the mechanism of action and therapeutic effect of drugs from an overall perspective has become the top priority of drug design. However, the traditional drug design methods cannot meet the current needs. In recent years, with the rapid development of systems biology, a variety of new technologies including metabolomics, genomics, and proteomics have been used in drug research and development. As a bridge between traditional pharmaceutical theory and modern science, computer-aided drug design(CADD) can shorten the drug development cycle and improve the success rate of drug design. The application of systems biology and CADD provides a methodological basis and direction for revealing the mechanism and action of drugs from an overall perspective. This paper introduces the research and application of systems biology in CADD from different perspectives and proposes the development direction, providing reference for promoting the application.
Humans ; Systems Biology ; Drug Design ; Drug Development ; Genomics ; Medicine

Coalescence of traditional medicine Ayurveda and in silico technology is a rigor for supplementary development of future-ready effective traditional medicine. Ayurveda is a popular traditional medicine in South Asia, emanating worldwide for the treatment of metabolic disorders and chronic illness. Techniques of in silico biology are not much explored for the investigation of a variety of bioactive phytochemicals of Ayurvedic herbs. Drug repurposing, reverse pharmacology, and polypharmacology in Ayurveda are areas in silico explorations that are needed to understand the rich repertoire of herbs, minerals, herbo-minerals, and assorted Ayurvedic formulations. This review emphasizes exploring the concept of Ayurveda with in silico approaches and the need for Ayurinformatics studies. It also provides an overview of in silico studies done on phytoconstituents of some important Ayurvedic plants, the utility of in silico studies in Ayurvedic phytoconstituents/formulations, limitations/challenges, and prospects of in silico studies in Ayurveda. This article discusses the convergence of in silico work, especially in the least explored field of Ayurveda. The focused coalesce of these two domains could present a predictive combinatorial platform to enhance translational research magnitude. In nutshell, it could provide new insight into an Ayurvedic drug discovery involving an in silico approach that could not only alleviate the process of traditional medicine research but also enhance its effectiveness in addressing health care.
Network Pharmacology ; Medicine, Traditional ; Medicine, Ayurvedic ; Drug Discovery/methods* ; Delivery of Health Care

Over the past few decades, complementary and alternative treatments have become increasingly popular worldwide. The purported therapeutic characteristics of natural products have come under increased scrutiny both in vitro and in vivo as part of efforts to legitimize their usage. One such product is tea tree oil (TTO), a volatile essential oil primarily obtained from the native Australian plant, Melaleuca alternifolia, which has diverse traditional and industrial applications such as topical preparations for the treatment of skin infections. Its anti-inflammatory-linked immunomodulatory actions have also been reported. This systematic review focuses on the anti-inflammatory effects of TTO and its main components that have shown strong immunomodulatory potential. An extensive literature search was performed electronically for data curation on worldwide accepted scientific databases, such as Web of Science, Google Scholar, PubMed, ScienceDirect, Scopus, and esteemed publishers such as Elsevier, Springer, Frontiers, and Taylor & Francis. Considering that the majority of pharmacological studies were conducted on crude oils only, the extracted data were critically analyzed to gain further insight into the prospects of TTO being used as a neuroprotective agent by drug formulation or dietary supplement. In addition, the active constituents contributing to the activity of TTO have not been well justified, and the core mechanisms need to be unveiled especially for anti-inflammatory and immunomodulatory effects leading to neuroprotection. Therefore, this review attempts to correlate the anti-inflammatory and immunomodulatory activity of TTO with its neuroprotective mechanisms.
Tea Tree Oil/therapeutic use* ; Melaleuca ; Neuroprotection ; Drug Repositioning ; Neuroinflammatory Diseases ; Australia ; Oils, Volatile ; Anti-Inflammatory Agents/pharmacology*

Psoriasis is a chronic skin disease and an important health concern. Western medicine and therapies are the main treatment strategies for psoriasis vulgaris (PV); however, the overall prognosis of patients with PV is still poor. Therefore, PV prevention is especially crucial. Chinese medicine (CM) has a long history of treating psoriasis, and it has unique wisdom in different cognitive angles and treatment modes from modern medicine. In this review, we first summarized the herbs and ancient CM formulas that have therapeutic effects on PV. Second, the research status and obstacles to the current development of CM in modern medicine were reviewed. Finally, the future of CM in the context of precision medicine and integrated medicine was discussed. After a detailed reading of the abundant literature, we believe that CM, through thousands of years of continuous development and clinical practice, has achieved high effectiveness and safety for PV treatment, despite its surrounding controversy. Moreover, precise analyses and systematic research methods have provided new approaches for the modernization of CM in the future. The treatment of PV with CM is worth popularizing, and we hope it can benefit more patients.
Humans ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Psoriasis/therapy* ; Research Design ; Drug Therapy, Combination

BACKGROUND: There are few data comparing clinical outcomes of complex percutaneous coronary intervention (CPCI) when using biodegradable polymer drug-eluting stents (BP-DES) or second-generation durable polymer drug-eluting stents (DP-DES). The purpose of this study was to investigate the safety and efficacy of BP-DES and compare that with DP-DES in patients with and without CPCI during a 5-year follow-up. METHODS: Patients who exclusively underwent BP-DES or DP-DES implantation in 2013 at Fuwai Hospital were consecutively enrolled and stratified into two categories based on CPCI presence or absence. CPCI included at least one of the following features: unprotected left main lesion, ≥2 lesions treated, ≥2 stents implanted, total stent length >40 mm, moderate-to-severe calcified lesion, chronic total occlusion, or bifurcated target lesion. The primary endpoint was major adverse cardiac events (MACE) including all-cause death, recurrent myocardial infarction, and total coronary revascularization (target lesion revascularization, target vessel revascularization [TVR], and non-TVR) during the 5-year follow-up. The secondary endpoint was total coronary revascularization. RESULTS: Among the 7712 patients included, 4882 (63.3%) underwent CPCI. Compared with non-CPCI patients, CPCI patients had higher 2- and 5-year incidences of MACE and total coronary revascularization. Following multivariable adjustment including stent type, CPCI was an independent predictor of MACE (adjusted hazard ratio [aHR]: 1.151; 95% confidence interval [CI]: 1.017-1.303, P  = 0.026) and total coronary revascularization (aHR: 1.199; 95% CI: 1.037-1.388, P  = 0.014) at 5 years. The results were consistent at the 2-year endpoints. In patients with CPCI, BP-DES use was associated with significantly higher MACE rates at 5 years (aHR: 1.256; 95% CI: 1.078-1.462, P  = 0.003) and total coronary revascularization (aHR: 1.257; 95% CI: 1.052-1.502, P  = 0.012) compared with that of DP-DES, but there was a similar risk at 2 years. However, BP-DES had comparable safety and efficacy profiles including MACE and total coronary revascularization compared with DP-DES in patients with non-CPCI at 2 and 5 years. CONCLUSIONS Patients underwent CPCI remained at a higher risk of mid- to long-term adverse events regardless of the stent type. The effect of BP-DES compared with DP-DES on outcomes was similar in CPCI and non-CPCI patients at 2 years but had inconsistent effects at the 5-year clinical endpoints.
Humans ; Drug-Eluting Stents/adverse effects* ; Myocardial Infarction/complications* ; Polymers/therapeutic use* ; Treatment Outcome ; Coronary Artery Disease/complications* ; Percutaneous Coronary Intervention/adverse effects* ; Absorbable Implants ; Prosthesis Design

This study aimed to explore the underlying framework and data characteristics of Tibetan prescription information. The information on Tibetan medicine prescriptions was collected based on 11 Tibetan medicine classics, such as Four Medical Canons(Si Bu Yi Dian). The optimal classification method was used to summarize the information structure of Tibetan medicine prescriptions and sort out the key problems and solutions in data collection, standardization, translation, and analysis. A total of 11 316 prescriptions were collected, involving 139 011 entries and 63 567 pieces of efficacy information of drugs in prescriptions. The information on Tibe-tan medicine prescriptions could be summarized into a "seven-in-one" framework of "serial number-source-name-composition-efficacy-appendix-remarks" and 18 expansion layers, which contained all information related to the inheritance, processing, origin, dosage, semantics, etc. of prescriptions. Based on the framework, this study proposed a "historical timeline" method for mining the origin of prescription inheritance, a "one body and five layers" method for formulating prescription drug specifications, a "link-split-link" method for constructing efficacy information, and an advanced algorithm suitable for the research of Tibetan prescription knowledge discovery. Tibetan medicine prescriptions have obvious characteristics and advantages under the guidance of the theories of "three factors", "five sources", and "Ro-nus-zhu-rjes" of Tibetan medicine. Based on the characteristics of Tibetan medicine prescriptions, this study proposed a multi-level and multi-attribute underlying data architecture, providing new methods and models for the construction of Tibetan medicine prescription information database and knowledge discovery and improving the consistency and interoperability of Tibetan medicine prescription information with standards at all levels, which is expected to realize the "ancient and modern connection-cleaning up the source-data sharing", so as to promote the informatization and modernization research path of Tibetan medicine prescriptions.
Medicine, Tibetan Traditional ; Knowledge Discovery ; Drug Prescriptions ; Databases, Factual ; Algorithms ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use*

OBJECTIVE: To establish a MM patient-derived tumor xenograft model (MM-PDX) in zebrafish, and to evaluate the anti-myeloma activity of indirubin-3'-monoxime(I3MO) using this model. METHODS: Zebrafish embryos 2 days after fertilization were transplanted with fluorescence labeled myeloma primary tumor cells, the survival of primary tumor cells in zebrafish was observed at 0,16 and 24 hours after cell injection. The zebrafish embryos after tumor cell transplantation were randomly divided into control group, BTZ treatment and I3MO treatment group. Before and 24 hours after treatment with BTZ and I3MO, the positive area with calcein or Dil in zebrafish were observed under fluorescence microscope to reflect the survival of tumor cells, and it was verified. RESULTS: MM patient derived tumor cells survived in zebrafish. The construction of MM-PDX was successful. Compared with control group, the fluo- rescence area of the BTZ and I3MO treatment groups in zebrafish were significantly decreased(P<0.05), and BTZ and I3MO significantly inhibited the survival of MM cells in zebrafish. CONCLUSION MM-PDX model was successfully established. Zebrafish model derived from tumor cells of MM patients can be used as a tool for drug screening of MM.
Animals ; Humans ; Bortezomib/therapeutic use* ; Cell Line, Tumor ; Disease Models, Animal ; Drug Evaluation, Preclinical ; Heterografts ; Multiple Myeloma/pathology* ; Xenograft Model Antitumor Assays ; Zebrafish

Bayesian statistics is an approach for learning from evidences as it accumulates, combining prior distribution with current information on a quantity of interest, in which posterior distribution and inferences are being updated each time new data become available using Bayes' Theorem. Though frequentist approach has dominated medical studies, Bayesian approach has been more and more widely recognized by its flexibility and efficiency. Research and development (R&D) on anti-cancer new drugs have been so hot globally in recent years in spite of relatively high failure rate. It is the common demand of pharmaceutical enterprises and researchers to identify the optimal dose, regime and right population in the early-phase R&D stage more accurately and efficiently, especially when the following three major changes have been observed. The R&D on anticancer drugs have transformed from chemical drugs to biological products, from monotherapy to combination therapy, and the study design has also gradually changed from traditional way to innovative and adaptive mode. This also raises a number of subsequent challenges on decision-making of early R&D, such as inability to determine MTD, flexibility to deal with delayed toxicity, delayed response and dose-response changing relationships. It is because of the above emerging changes and challenges that the Bayesian approach is getting more and more attention from the industry. At least, Bayesian approach has more information for decision-making, which could potentially help enterprises achieve higher efficiency, shorter period and lower investment. This study also expounds the application of Bayesian statistics in the early R&D on anticancer new drugs, and compares and analyzes its idea and application scenarios with frequentist statistics, aiming to provide macroscopic and systematic reference for all related stakeholders.
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Humans ; Bayes Theorem ; Lung Neoplasms/drug therapy* ; Research Design ; Antineoplastic Agents/therapeutic use* ; Biological Products ; Pharmaceutical Preparations