[Quality evaluation of Cnidii Fructus in commodity grade based on theory of "quality evaluation through morphological identification"].

From the perspective of market classification of Cnidii Fructus, this paper revealed the scientific connotation of evaluating the quality grade of Cnidii Fructus by its appearance traits. Thirty batches of Cnidii Fructus in different grades were selected as the research objects. The canonical correlation analysis and principal component analysis(PCA) were used to explore the measurement values of 15 appearance traits and intrinsic content indexes. The results of correlation analysis showed that except the aspect ratio, the 5 appearance trait indexes(length, width, 1 000-grain weight, broken grain weight proportion, and chroma) and 9 internal content indexes(the content of moisture, total ash, acid insoluble ash, osthole, imperatorin, 5-methoxy psoralen, isopimpinellin, xanthotoxin, and xanthotol) showed significant correlation to varying degrees. In addition, there was a significant positive correlation between the first typical variable U_1 composed of appearance traits and the first typical variable V_1 composed of internal content indexes(CR_1=0.963, P<0.01). The results of PCA showed that the classification results of appearance traits for 30 batches of Cnidii Fructus were consistent with the actual information of the samples. Under the same analysis conditions, 30 batches of Cnidii Fructus were reclassified by 9 groups of internal content indexes, and the analysis results were consistent. From the classification standard of the appearance traits of the system study, the statistical results of 6 appearance traits of Cnidii Fructus showed a correlation with grades. There was a good correlation between the appearance and the internal content of Cnidii Fructus, and the appearance quality effectively predicted the level of the internal content. There is a certain scientific basis for the quality classification of Cnidii Fructus by main appearance traits. Appearance classification can replace quality grading to realize the "quality evaluation through morphological identification" of Cnidii Fructus.

Development of an interpretable machine learning model associated with heavy metals' exposure to identify coronary heart disease among US adults via SHAP: Findings of the US NHANES from 2003 to 2018.

Limited information is available on the links between heavy metals' exposure and coronary heart disease (CHD). We aim to establish an efficient and explainable machine learning (ML) model that associates heavy metals' exposure with CHD identification. Our datasets for investigating the associations between heavy metals and CHD were sourced from the US National Health and Nutrition Examination Survey (US NHANES, 2003-2018). Five ML models were established to identify CHD by heavy metals' exposure. Further, 11 discrimination characteristics were used to test the strength of the models. The optimally performing model was selected for identification. Finally, the SHapley Additive exPlanations (SHAP) tool was used for interpreting the features to visualize the selected model's decision-making capacity. In total, 12,554 participants were eligible for this study. The best performing random forest classifier (RF) based on 13 heavy metals to identify CHD was chosen (AUC: 0.827; 95%CI: 0.777-0.877; accuracy: 95.9%). SHAP values indicated that cesium (1.62), thallium (1.17), antimony (1.63), dimethylarsonic acid (0.91), barium (0.76), arsenous acid (0.79), total arsenic (0.01) in urine, and lead (3.58) and cadmium (4.66) in blood positively contributed to the model, while cobalt (-0.15), cadmium (-2.93), and uranium (-0.13) in urine negatively contributed to the model. The RF model was efficient, accurate, and robust in identifying an association between heavy metals' exposure and CHD among US NHANES 2003-2018 participants. Cesium, thallium, antimony, dimethylarsonic acid, barium, arsenous acid, and total arsenic in urine, and lead and cadmium in blood show positive relationships with CHD, while cobalt, cadmium, and uranium in urine show negative relationships with CHD.

Inhibition of Nrf2 enhances the anticancer effect of 6-O-angeloylenolin in lung adenocarcinoma.

6-O-Angeloylenolin (6-OA), a sesquiterpene lactone isolated from Centipeda minima (L.) A. Br. (Compositae), has been used to treat respiratory diseases for centuries. However, whether and how 6-OA exerts anticancer effects against lung cancer remains to be elucidated. In this study, we showed that 6-OA markedly suppressed the cell viability and colony formation of lung cancer cells H1299 and A549, with no significant toxic effect on non-cancer cells HBE. Annexin V/7-AAD assay revealed that 6-OA induced cell apoptosis in dose- and time-dependent manners, which was further confirmed by the increased expression of cleaved caspase-3. To uncover the molecular mechanism how 6-OA exerts its anticancer effects, SILAC quantitative proteomics was performed to identify 6-OA-regulated proteins in lung cancer cells. Ingenuity Pathway Analysis revealed that these 6-OA-regulated proteins were mainly involved in Nrf2-mediated oxidative stress response, which was confirmed by the nuclear translocation of Nrf2 upon 6-OA treatment. Moreover, we found that 6-OA stimulated the accumulation of reactive oxygen species (ROS), whereas inhibition of ROS generation with N-acetyl l-cysteine could block the 6-OA-induced anticancer effects. Furthermore, blockade of cellular anti-oxidative system by Nrf2 knockdown significantly augmented the 6-OA-induced apoptosis. Taken together, we demonstrated that 6-OA exerts its anticancer effects by generating ROS, and inhibition of Nrf2 anti-oxidative system potentiated these effects. These results suggest that 6-OA may be used to treat lung cancer, with better outcome by combining with Nrf2 inhibitor to block Nrf2 pathway.

[Intercepting effects of seven Chinese herb drugs on experimental oral carcinogenesis].

PURPOSE: To screen effective chemopreventive Chinese herb drugs on experimental oral carcinogenesis. METHODS: 410 golden hamsters were randomly divided into positive control group,negative control group and 7 experimental groups(Radix et Rhizoma Thalictri, Radix Sophorae Tonkinesis, Pseudobulbus Cremastrae appendiculate, Rhizoma Acori Tatarinowii, Radix Angelicae seu Heraclei, Rhizoma Curcumae, Fructus Trichosanthis). 7,12-Dimethylbenz(a)anthracene(DMBA) was used to induce oral carcinogenesis in hamster cheek pouch, 7 liquid Chinese herb drugs were respectively injected into the stomach of the hamsters before and during oral carcinogenesis. Specimens were observed by histopathologic method, and the results were analysized statistically. RESULTS: Compared with positive control group, the prevalence of displasia was significantly reduced in group Radix Sophorae Tonkinesis and Radix Angelicae Dahuricae, but significant decrease could not be found in other experiment groups. CONCLUSION: Radix Sophorae Tonkinesis and Radix Angelicae Dahuricae could effectively intercept DMBA-induced oral carcinogenesis in hamster.