Anthocyanin metabolism and its differential regulation in purple tea (Camellia sinensis).

Tea plants (Camellia sinensis) typically contain high-flavonoid phytochemicals like catechins. Recently, new tea cultivars with unique purple-colored leaves have gained attention. These purple tea cultivars are enriched with anthocyanin, which provides an interesting perspective for studying the metabolic flux of the flavonoid pathway. An increasing number of studies are focusing on the leaf color formation of purple tea and this review aims to summarize the latest progress made on the composition and accumulation of anthocyanins in tea plants. In addition, the regulation mechanism in its synthesis will be discussed and a hypothetical regulation model for leaf color transformation during growth will be proposed. Some novel insights are presented to facilitate future in-depth studies of purple tea to provide a theoretical basis for targeted breeding programs in leaf color.

[Systematic review and Meta-analysis of Lianhua Qingwen preparations combined with Oseltamivir in treatment of influenza].

This study aims to explore the efficacy and safety of Lianhua Qingwen preparations combined with Oseltamivir in the treatment of influenza patients. PubMed, Cochrane Library, EMbase, SinoMed, CNKI, Wanfang, and VIP were searched for the randomized controlled trials(RCTs) involving the comparison between the influenza patients treated with Lianhua Qingwen preparations combined with Oseltamivir and those treated with Oseltamivir alone. Fever clearance time was taken as the primary outcome indicator. Clinical effective rate(markedly effective and effective), time to muscle pain relief, time to sore throat relief, time to cough relief, time to nasal congestion and runny nose relief, time to negative result of viral nucleic acid test, and adverse reactions were taken as the secondary outcome indicators. The data were extracted based on the outcome indicators and then combined. The Cochrane collaboration's tool for assessing risk of bias was used to evaluate the quality of a single RCT, and the grading of recommendations assessment, development and evaluations(GRADE) system to assess the quality of a single outcome indicator. RevMan 5.3 was employed to analyze data and test heterogeneity. Finally, 16 RCTs involving 1 629 patients were included for analysis. The Meta-analysis showed that Lianhua Qingwen preparations combined with Oseltamivir was superior to Oseltamivir alone in the treatment of influenza in terms of clinical effective rate(RR=1.16, 95%CI [1.12, 1.20], P<0.000 01), fever clearance time(SMD=-2.02, 95%CI [-2.62,-1.41], P<0.000 01), time to muscle pain relief(SMD=-2.50, 95%CI [-3.84,-1.16], P=0.000 2), time to sore throat relief(SMD=-1.40, 95%CI [-1.93,-0.85], P<0.000 01), time to cough relief(SMD=-1.81, 95%CI [-2.44,-1.19], P<0.000 01), time to nasal congestion and runny nose(SMD=-2.31, 95%CI [-3.61,-1.01], P=0.000 5), and time to negative result of viral nucleic acid test(SMD=-0.68, 95%CI [-1.19,-0.16], P=0.01). However, due to the low quality of the trials, the above conclusions need to be proved by more high-quality clinical studies. In addition, we still need to attach importance to the adverse reactions of the integrated application of Chinese and western medicines.

[Medication law and mechanism of traditional Chinese medicine in prevention and treatment of epidemic diseases: based on traditional Chinese medicine theory of cold pestilence].

Epidemic diseases have caused huge harm to the society. Traditional Chinese medicine(TCM) has made great contributions to the prevention and treatment of them. It is of great reference value for fighting diseases and developing drugs to explore the medication law and mechanism of TCM under TCM theory. In this study, the relationship between the TCM theory of cold pestilence and modern epidemic diseases was investigated. Particularly, the the relationship of coronavirus disease 2019(COVID-19), severe acute respiratory syndrome(SARS), and influenza A(H1 N1) with the cold pestilence was identified and analyzed. The roles of TCM theory of cold pestilence in preventing and treating modern epidemic diseases were discussed. Then, through data mining and textual research, prescriptions for the treatment of cold pestilence were collected from major databases and relevant ancient books, and their medication laws were examined through analysis of high-frequency medicinals and medicinal pairs, association rules analysis, and cluster analysis. For example, the prescriptions with high confidence levels were identified: "Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Paeoniae Radix Alba" "Glycyrrhizae Radix et Rhizoma-Pinelliae Rhizoma-Bupleuri Radix", and TCM treatment methods with them were analyzed by clustering analysis to yield the medicinal combinations: "Zingiberis Rhizoma-Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma" "Poria-Atractylodis Macrocephalae Rhizoma" "Cinnamomi Ramulus-Asari Radix et Rhizoma" "Citri Reticulatae Pericarpium-Perillae Folium" "Pinelliae Rhizoma-Magnoliae Officinalis Cortex-Atractylodis Rhizoma" "Paeoniae Radix Alba-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Scutellariae Radix-Rhizoma Zingiberis Recens" "Ephedrae Herba-Armeniacae Semen Amarum-Gypsum Fibrosum" "Chuanxiong Rhizoma-Notopterygii Rhizoma et Radix-Angelicae Dahuricae Radix-Platycodonis Radix-Saposhnikoviae Radix". Then, according to the medication law for cold pestilence, the antiviral active components of medium-frequency and high-frequency medicinals were retrieved. It was found that these components exerted the antiviral effect by inhibiting virus replication, regulating virus proteins and antiviral signals, and suppressing protease activity. Based on network pharmacology, the mechanisms of the medicinals against severe acute respiratory syndrome coronavirus(SARS-CoV), 2019 novel coronavirus(2019-nCoV), and H1 N1 virus were explored. It was determined that the key targets were tumor necrosis factor(TNF), endothelial growth factor A(VEGFA), serum creatinine(SRC), epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), mitogen-activated protein kinase 14(MAPK14), and prostaglandin-endoperoxide synthase 2(PTGS2), which were involved the mitogen-activated protein kinase(MAPK) pathway, advanced glycation end-products(AGE)-receptor for AGE(RAGE) pathway, COVID-19 pathway, and mTOR pathway. This paper elucidated the medication law and mechanism of TCM for the prevention and treatment of epidemic diseases under the guidance of TCM theory of cold pestilence, in order to build a bridge between the theory and modern epidemic diseases and provide reference TCM methods for the prevention and treatment of modern epidemic diseases and ideas for the application of data mining to TCM treatment of modern diseases.

[Research progress of Curcuma kwangsiensis root tubers and analysis of liver protection and anti-tumor mechanisms based on Q-markers].

Curcuma kwangsiensis root tuber is a widely used genuine medicinal material in Guangxi, with the main active components of terpenoids and curcumins. It has the effects of promoting blood circulation to relieve pain, moving Qi to relieve depression, clearing heart and cooling blood, promoting gallbladder function and anti-icterus. Modern research has proved its functions in liver protection, anti-tumor, anti-oxidation, blood lipid reduction and immunosuppression. Considering the research progress of C. kwangsiensis root tubers and the core concept of quality marker(Q-marker), we predicted the Q-markers of C. kwangsiensis root tubers from plant phylogeny, chemical component specificity, traditional pharmacodynamic properties, new pharmacodynamic uses, chemical component measurability, processing methods, compatibility, and components migrating to blood. Curcumin, curcumol, curcumadiol, curcumenol, curdione, germacrone, and ß-elemene may be the possible Q-markers. Based on the predicted Q-markers, the mechanisms of the liver-protecting and anti-tumor activities of C. kwangsiensis root tubers were analyzed. AKT1, IL6, EGFR, and STAT3 were identified as the key targets, and neuroactive ligand-receptor interaction signaling pathway, nitrogen metabolism pathway, cancer pathway, and hepatitis B pathway were the major involved pathways. This review provides a basis for the quality evaluation and product development of C. kwangsiensis root tubers and gives insights into the research on Chinese medicinal materials.

A brief discussion on evidence-based clinical research of traditional Chinese medicine.

BACKGROUND: The evaluation of clinical efficacy of traditional Chinese medicine (TCM) is the focus of the development of Chinese medicine, but at present there is no internationally recognized clinical efficacy evaluation system, which prevents TCM going abroad. Evidence-based medicine (EBM) research methods have achieved good results in the evaluation of TCM, but there are still some problems. How to use EBM methods in accordance with China's national conditions and develop evidence-based TCM that meets its own characteristics is the key to the current discussion. METHODS: Search websites such as PubMed, China National Knowledge Infrastructure, Wanfang Data and VIP by computer, and search papers related to evidence-based clinical research of TCM. RESULTS: A total of 15 high quality representative research papers published in internationally renowned journals were selected for example, including 4 randomized controlled trials (RCTs) related to Chinese medicine, 9 RCTs related to acupuncture, and 2 observational studies on the safety of TCM. CONCLUSIONS: EBM method is suitable for clinical research of TCM. There are differences between "disease" and "syndromes" in the use of TCM. Based on the further standardization of syndromes and classification of TCM, modern clinical research methods can be reasonably applied. However, the quality of clinical research related to TCM is not high, and there is a lack of research related to the safety of it, which should be paid attention to and improved in future research.

[Thoughts and suggestions on arrangement, analysis and summary of medical data during COVID-19 epidemic].

The analysis and utilization of clinical scientific research data is an effective means to promote the progress of diagnosis and treatment, and a key step in the development of medical sciences. During the epidemic of coronavirus disease 2019(COVID-19), how to transform the limited diagnostic data into clinical research resources has attracted much attention. Based on the low efficiency of data collection and extraction, the inconsistency of data analysis, the irregularity of data report and the high timeliness of data update during the epidemic, this paper briefly analyzed the background and reasons of data application under the current situation, and then discusses the problems and feasible solutions of clinical data applications under the epidemic situation and, more importantly, for future medical clinical research methods. We put forward several methodological suggestions: ① gradually improve the medical big data model and establish the national medical health data center; ② improve the scientific research literacy of medical staff and popularize the basic skills and knowledge of GCP; ③ promote a scientific, networked and shared data collection and management mode; ④ use the mixed research method and collective analysis to improve the efficiency of clinical data analysis; ⑤ pay attention to narration of the medical feelings and emphasize the humanistic data of clinical medicine. It is expected to promote the standardized and reasonable use of clinical scientific research data, the rigorous integration of expert opinions, and ultimately the development of big data for national health care.

[Thoughts and suggestions on analysis of death cases report during COVID-19 epidemic].

It is an essential task to discuss the death cases for clinicians. During the emergent public events, the report and analysis of death cases is of far-reaching significance. The epidemic of coronavirus disease 2019(COVID-19) has brought huge losses to China, and the medical system has been sustaining tremendous pressure. The best weapon to defeat the epidemic is medical data and related scientific research, of which the systematic analysis and efficient use of death cases is a key step. Based on the incomplete record of death case report, the lack of humanistic perspective and patient report, every department and institution is facing great challenge in terms of data management. Given that the relevant systems need to be improved, and that the integration of standardized reports and clinical research is not mature,as well as other problems, we put forward several methodological suggestions: ① Establish national medical and health data center and improve relevant laws and regulations. ② Increase investment in medical data management and start data collection and analysis as early as possible during the epidemic. ③ Refine the content of death case report and promote the standardization of report. ④ Pay close attention to the report of death cases, review, summary and analysis. More importantly, we should continue to build and improve platforms and programs related to disease control, carry out epidemic-associated scientific research, enhance the managing efficiency of public health data, elevate the anti-risk capability of our medical system, and promote the steady progress of the health China strategy.

Lutein supplementation reduces plasma lipid peroxidation and C-reactive protein in healthy nonsmokers.

OBJECTIVE: The aim of this study was to determine whether lutein affected biomarkers related to cardiovascular diseases (CVD) in healthy nonsmokers. METHODS: A randomized, double-blind, placebo-controlled trial of lutein supplementation was conducted in healthy nonsmokers. 117 eligible subjects were randomly assigned to receive 10 or 20 mg/d of lutein or placebo for 12 weeks. Levels of plasma carotenoid concentrations, total antioxidant capacity (TAOC), the lipoprotein profile, and antioxidant enzymes activities were determined at baseline and at 6, and 12 weeks after the initiation of treatment. Biomarkers of oxidative damage to protein and lipids, and C-reactive protein (CRP) concentrations were measured at baseline and after supplementation. RESULTS: Plasma lutein and TAOC significantly increased in both active treatment groups during 12 weeks. A significant reduction was found in malondialdehyde in the 20 mg lutein group. CRP concentration decreased in a dose-dependent manner for lutein supplementation, and there was a significant between-group difference in CRP between the 20 mg lutein and the placebo group. Serum CRP was directly related to the change in plasma lutein and TAOC for both active treatment groups. CONCLUSION: The results support the possibility that lutein supplementation reduce biomarkers of CVD risk via decreased lipid peroxidation and inflammatory response by increasing plasma lutein concentrations and antioxidant capacity.