Near-infrared Model for Quantifying Rehmannia glutinosa Polysaccharide Content and its Anti-inflammatory Effect on Kidney Injury in Obese Mice
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Abstract:
A method for the rapid determination of the Rehmannia glutinosa polysaccharide (RGP) content by near infrared spectroscopy (NIRS) was established. The effects of different RGP concentrations on inflammation in obese mice were investigated. The NIR diffuse reflectance spectra of Rehmanniae Radix Praeparata were collected and analyzed using the partial least squares (PLS) method. The spectra were processed using the multivariate scatter correction (MSC), direct difference, and first order derivative methods within a wavelength range of 4 040.12~11 221.66 cm-1. The quantitative analysis model for evaluating the RGP content was established by taking into consideration 19 principal components; the predicted contents were 34.63%~45.28%, the measured contents were 34.49%~45.09%, the absolute deviations were -0.41%~0.26%, and the relative deviations were 0.121%~0.995%. The obese mice model was generated using a high-fat diet. Renal function index (RFI), renal histopathology, and fasting blood glucose (FPG), total cholesterol (TC), triglyceride (TG), and creatinine (Cr) levels were evaluated after 14 weeks of RGP administration at various doses. The body weight, TC, TG, Cr, FPG, and RFI in the high-RGP content group decreased by 11.29%, 31.59%, 47.63%, 34.63%, 28.57%, and 19.00%, respectively (compared with the model group). RGP could significantly attenuate structural damage and inhibit inflammatory cell infiltration in kidney tissues, and these effects were positively correlated with the RGP content. These results showed that the NIRS model can quickly and accurately determine the RGP content, and that RGP can ameliorate dyslipidemia, inhibit the kidney inflammatory response, and protect the renal structure in obese mice. The findings of this study can help sunstantiate the development and utilization of RGP.
