In recent years, there have been frequent adverse reactions/events associated with traditional Chinese medicine(TCM), especially liver injury related to traditional non-toxic TCM, which requires adequate attention. Liver injury related to traditional non-toxic TCM is characterized by its sporadic and insidious nature and is influenced by various factors, making its detection and identification challenging. There is an urgent need to develop a strategy and method for early detection and recognition of traditional non-toxic TCM-related liver injury. This study was based on national adverse drug reaction monitoring center big data, integrating methodologies such as reporting odds ratio(ROR), network toxicology, and computational chemistry, so as to systematically research the risk signal identification and evaluation methods for TCM-related liver injury. The optimized ROR method was used to discover potential TCM with a risk of liver injury, and network toxicology and computational chemistry were used to identify potentially high-risk TCM. Additionally, typical clinical cases were analyzed for confirmation. An integrated strategy of "discovery via big data, identification via dry/wet method, confirmation via typical cases, and precise risk prevention and control" was developed to identify the risk of TCM-related liver injury. Corydalis Rhizoma was identified as a TCM with high risk, and its toxicity-related substances and potential toxicity mechanisms were analyzed. The results revealed that liver injury is associated with components such as tetrahydropalmatine and tetrahydroberberine, with potential mechanisms related to immune-inflammatory pathways such as the tumor necrosis factor signaling pathway, interleukin-17 signaling pathway, and Th17 cell differentiation. This paper innovatively integrated real-world evidence and computational toxicology methods, offering insights and technical support for establishing a risk discovery and identification strategy for TCM-related liver injury based on real-world big data, providing innovative ideas and strategies for guiding the safe and rational use of medication in clinical practices.
Corydalis/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Chemical and Drug Induced Liver Injury/etiology* ; Medicine, Chinese Traditional/adverse effects* ; Rhizome/adverse effects* ; Male ; Female

OBJECTIVE: To investigate the genetic causal relationship of leukocyte telomere length (LTL) with prostatitis, orchitis and epididymitis by two-sample Mendelian randomization (MR). METHODS: Using LTL as the exposure factor and prostatitis, orchitis and epididymitis as outcome factors, we mined the Database of Genome-Wide Association Studies (GWAS). Then, we analyzed the causal relationship of LTL with prostatitis, orchitis and epididymitis by Mendelian randomization using inverse variance weighting (IVW) as the main method and weighted median and MR-Egger regression as auxiliary methods, determined the horizontal multiplicity by MR-Egger intercept test, and conducted sensitivity analysis using the leaving-one-out method. RESULTS: A total of 121 related single nucleotide polymorphisms (SNPs) were identified in this study. IVW showed LTL to be a risk factor for prostatitis (OR = 1.383, 95% CI: 1.044－1.832, P = 0.024), and for orchitis and epididymitis as well (OR = 1.770, 95% CI: 1.275－2.456, P = 0.000 6). CONCLUSION Genetic evidence from Mendelian randomized analysis indicates that shortening of LTL reduces the risk of prostatitis, orchitis and epididymitis.
Humans ; Male ; Mendelian Randomization Analysis ; Epididymitis/genetics* ; Prostatitis/genetics* ; Polymorphism, Single Nucleotide ; Leukocytes ; Orchitis/genetics* ; Genome-Wide Association Study ; Telomere ; Risk Factors

OBJECTIVES: To explore the cytotoxicity of four wild mushrooms involved in a case of Yunnan sudden unexplained death (YNSUD), to provide the experimental basis for prevention and treatment of YNSUD. METHODS: Four kinds of wild mushrooms that were eaten by family members in this YNSUD incident were collected and identified by expert identification and gene sequencing. Raw extracts from four wild mushrooms were extracted by ultrasonic extraction to intervene HEK293 cells, and the mushrooms with obvious cytotoxicity were screened by Cell Counting Kit-8 (CCK-8). The selected wild mushrooms were prepared into three kinds of extracts, which were raw, boiled, and boiled followed by enzymolysis. HEK293 cells were intervened with these three extracts at different concentrations. The cytotoxicity was detected by CCK-8 combined with lactate dehydrogenase (LDH) Assay Kit, and the morphological changes of HEK293 cells were observed under an inverted phase contrast microscope. RESULTS: Species identification indicated that the four wild mushrooms were Butyriboletus roseoflavus, Boletus edulis, Russula virescens and Amanita manginiana. Cytotoxicity was found only in Amanita manginiana. The raw extracts showed cytotoxicity at the mass concentration of 0.1 mg/mL, while the boiled extracts and the boiled followed by enzymolysis extracts showed obvious cytotoxicity at the mass concentration of 0.4 mg/mL and 0.7 mg/mL, respectively. In addition to the obvious decrease in the number of HEK293 cells, the number of synapses increased and the refraction of HEK293 cells was poor after the intervention of Amanita manginiana extracts. CONCLUSIONS The extracts of Amanita manginiana involved in this YNSUD case has obvious cytotoxicity, and some of its toxicity can be reduced by boiled and enzymolysis, but cannot be completely detoxicated. Therefore, the consumption of Amanita manginiana is potentially dangerous, and it may be one of the causes of the YNSUD.
Humans ; HEK293 Cells ; Sincalide ; China ; Amanita ; Death, Sudden

Objective: To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas. Methods: Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study. Results: With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response. Conclusions: This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
Humans ; Influenza, Human ; Sentinel Surveillance ; Syndrome ; China ; Cell Phone

Ulcerative colitis (UC) is a chronic non-specific inflammatory bowel disease, listed as a modern refractory disease by the World Health Organization, which is difficult to recover, whereas it is easy to be attacked repeatedly. UC pathogenesis is closely related to gut microbiota dysbiosis. The gut microbiota interacts with bile acids (BAs), short-chain fatty acids (SCFAs), tryptophan, and other metabolism, immune system, intestinal barrier, etc., which regulate each other and affect the occurrence and development of UC. The active ingredients of traditional Chinese medicine (TCM), single herb and its extracts, and formulae can effectively alleviate UC symptoms by regulating the diversity, structure, composition, and metabolites of gut microbiota. In this review, the TCM based on the regulation of gut microbiota in the treatment of UC and its related mechanism for nearly three years was summarized.

Based on the heat-clearing and detoxifying effects of Gentianae Radix et Rhizoma, the network pharmacology is mainly used to predict the potential targets of Gentianae Radix et Rhizoma for anti-inflammatory activity and to perform the experimental verification. A method for detecting the biological potency of Gentianae Radix et Rhizoma based on verifiable targets has been established to provide a reference for improving the quality evaluation and control standards of Gentianae Radix et Rhizoma. High performance liquid chromatography can be used to construct chemical fingerprints of different batches of Gentianae Radix et Rhizoma. Constructing a component-target-disease network of Gentianae Radix et Rhizoma for its anti-inflammatory activity was applied to screen potential anti-inflammatory components and related targets of Gentianae Radix et Rhizoma, and to verify the target of Gentianae Radix et Rhizoma by using biological evaluation methods. Detecting the biological potency of different batches of Gentianae Radix et Rhizoma extracts was used to inhibit COX-2 enzyme activity based the verifiable target cyclooxygenase-2(COX-2). The results showed that different batches of Gentianae Radix et Rhizoma accorded with the pharmacopoeia testing regulations, and the chemical fingerprints have a high similarity(similarity>0.93), suggesting that there is no significant difference in the characteristics of the chemical components. Based on network pharmacology predictions, 18 candidate targets were found to have potential direct interactions with the ingredients in Gentianae Radix et Rhizoma. Among them, the most important target is COX-2. Based on the experimental verification of recombinant human COX-2 protease activity inhibition, Gentianae Radix et Rhizoma can inhibit the COX-2 enzyme activity in a dose-dependent manner. It can function with a low concentration(0.75 mg·mL~(-1)), which preliminarily confirmed the accuracy of network pharmacology prediction. The biological potency detection method of Gentianae Radix et Rhizoma based on COX-2 inhibitory activity was optimized and established. The qualitative response parallel line method was used to calculate the biological potency of anti-inflammatory activity, which ranged from 23.04 to 46.60 U·mg~(-1). For network pharmacology prediction, it can screen and clarify the possible targets of traditional Chinese medicine rapidly, which can guide the establishment of a biological evaluation method for the quality of medicinal materials with related activities. Compared with chemical fingerprints, the biological potency testing can better detect quality fluctuations of traditional Chinese medicine.
Anti-Inflammatory Agents/pharmacology* ; Biological Assay ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Medicine, Chinese Traditional ; Quality Control ; Rhizome

Objective::To study the spectrum-effect relationship between HPLC fingerprints and anti-hepatoma activity of Paris polyphylla var. yunnanensis, P. forrestii and P. vietnamensis, and to elucidate its effective substance. Method::HPLC was used to establish the fingerprint of three extracts from the plant. The mobile phase was consisted of acetonitrile (A)-water (B) for gradient elution (0-10 min, 20%A; 10-20 min, 20%-25%A; 20-30 min, 25%-30%A; 30-40 min, 30%-35%A; 40-50 min, 35%-40%A; 50-60 min, 40%A; 60-75 min, 40%-45%A; 75-80 min, 45%-60%A), and the flow rate was 0.9 mL·min^-1. The UV detection wavelength was 203 nm. Thiazolyl blue tetrazolium bromide (MTT) array was used to detect the inhibitory effects of three extracts on the proliferation of HepG2 cells, and the half inhibitory concentration (IC₅₀) was calculated. Cluster analysis and grey relational analysis were used to analyze the data of spectrum and efficacy, and to find out the components that contributed a lot to the anti-liver cancer effect. Result::A total of 11 common peaks were identified as common peaks among HPLC fingerprints of three kinds of Paris. After treated 72 h, P. forrestii has the highest inhibitory effect on the HepG2 cells, the IC₅₀ of P. forrestii, P. polyphylla var. yunnanensis and P. vietnamensis were 148.33, 178.87, 208.09 mg·L^-1, respectively. According to the grey relational analysis, the common peaks 1-10 from P. polyphylla var. yunnanensis had great correlation to anti-tumor effect, and the common peaks 1-7 for P. forrestii, the common peaks 1-4, 6-10, N1 for P. vietnamensis, all the correlation degrees with IC₅₀ were >0.7.Cluster analysis of variables in each Paris showed that peaks with correlation degree >0.7 could cluster with IC₅₀. Conclusion::The established HPLC fingerprint method is reliable with good reproducibility. The peaks 1-4, 6 and 7 from three kinds of Paris have the greatest contribution to the anti-hepatoma effect.