Rapid Identification of Peucedanum praeruptorum Dunn and Its Adulterants by Hand-Held Near-Infrared Spectroscopy.

BACKGROUND: Peucedanum praeruptorum Dunn (PPD) is a traditional Chinese medical herb of high medical and economic value. However, PPD is often adulterated by inexpensive plants. OBJECTIVE: In order to establish an integrated and straightforward methodology to identify adulterated PPD products, hand-held near-infrared spectroscopy (NIRS) combined with chemical pattern recognition techniques was employed. METHOD: The standard normal variate (SNV) was used to preprocess the original near-infrared spectra. Principal component analysis (PCA), linear discriminant analysis (LDA), and partial least-squares regression analysis (PLSDA) were used to construct the recognition models. RESULTS: PCA analysis could not correctly distinguish PPD from non-PPD. However, based on absorbance in the spectral region of 1405-2442 nm and SNV pretreatment, the accuracy of the LDA model was above 90% at identifying genuine PPD. Compared with the LDA method, the PLSDA model is more stable and reliable, and its model prediction accuracy was 93.4%. CONCLUSION: The combination of NIRS and chemometric methods based on a hand-held near-infrared spectrometer is an efficient, nondestructive, and reliable method for validating traditional Chinese medicine PPD. HIGHLIGHTS: The advanced method based on a hand-held near-infrared spectrometer can be used for rapid identification and quality evaluation of PPD in the field, medicinal material markets, and points of sale.

Arginine inhibits the malignant transformation induced by interferon-gamma through the NF-κB-GCN2/eIF2α signaling pathway in mammary epithelial cells in vitro and in vivo.

Breast cancer is the most common female malignant tumors in the world. It seriously affects women's physical and mental health and the leading cause of cancer death among women. Our previous study demonstrated that diet-derived IFN-γ promoted the malignant transformation of primary bovine mammary epithelial cells by accelerating arginine depletion. The current study aimed to explore whether arginine addition could inhibit the degree of malignant transformation and its molecular mechanism. The results indicate that arginine addition could alleviate the malignant transformation of mammary epithelial cells induced by IFN-γ, including reducing cell proliferation, cell migration and colony formation, through the NF-κB-GCN2/eIF2α pathway. The in vivo experiments also consistently confirmed that arginine supplementation could significantly inhibit tumor growth in tumor-bearing mice. Furthermore, the investigation of the clinical data also revealed that the plasma or tissue from human breast cancer patients owned lower arginine level and higher IFN-γ level than that from patients with benign breast disease, showing IFN-γ may be a potential control target. Our findings demonstrate that arginine supplement could antagonize the malignant transformation of mammary epithelial cells induced by IFN-γ (nutritionally induced) both in vitro and in vivo, and IFN-γ was higher in breast cancer women. This might provide a novel strategy for the prevention and treatment of breast cancer regarding to nutrition.