Monday, 28 August 2017

Assessment of anti-inflammatory properties of extracts from Honeysuckle (Lonicera sp. L., Caprifoliaceae) by ATR-FTIR spectroscopy

Talanta. 2017 Dec 1;175:264-272. doi: 10.1016/j.talanta.2017.07.045. Epub 2017 Jul 18. Nikzad-Langerodi R1, Ortmann S2, Pferschy-Wenzig EM2, Bochkov V2, Zhao YM3, Miao JH3, Saukel J4, Ladurner A4, Heiss EH4, Dirsch VM4, Bauer R2, Atanasov AG5. Author information 1 Department of Pharmacognosy, University of Vienna, Althanstrasse 9, 1090 Vienna, Austria; Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040 Linz, Austria. Electronic address: 2 Institute of Pharmaceutical Sciences/Pharmacognosy, University of Graz, Graz, Austria. 3 Guangxi Botanical Garden of Medicinal Plants, 189 Changgang Road, Nanning, China. 4 Department of Pharmacognosy, University of Vienna, Althanstrasse 9, 1090 Vienna, Austria. 5 Department of Pharmacognosy, University of Vienna, Althanstrasse 9, 1090 Vienna, Austria; Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, 05-552 Jastrzebiec, Poland. Abstract Inflammation is a hallmark of some of today's most life-threatening diseases such as arteriosclerosis, cancer, diabetes and Alzheimer's disease. Herbal medicines (HMs) are re-emerging resources in the fight against these conditions and for many of them, anti-inflammatory activity has been demonstrated. However, several aspects of HMs such as their multi-component character, natural variability and pharmacodynamic interactions (e.g. synergism) hamper identification of their bioactive constituents and thus the development of appropriate quality control (QC) workflows. In this study, we investigated the potential use of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy as a tool to rapidly and non-destructively assess different anti-inflammatory properties of ethanolic extracts from various species of the Genus Lonicera (Caprifoliaceae). Reference measurements for multivariate calibration comprised in vitro bioactivity of crude extracts towards four key players of inflammation: Nitric oxide (NO), interleukin 8 (IL-8), peroxisome proliferator-activated receptor β/δ (PPAR β/δ), and nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-κB). Multivariate analysis of variance (MANOVA) revealed a statistically significant, quantitative pattern-activity relationship between the extracts' ATR-FTIR spectra and their ability to modulate these targets in the corresponding cell models. Ensemble orthogonal partial least squares (OPLS) discriminant models were established for the identification of extracts exhibiting high and low activity with respect to their potential to suppress NO and IL-8 production. Predictions made on an independent test set revealed good generalizability of the models with overall sensitivity and specificity of 80% and 100%, respectively. Partial least squares (PLS) regression models were successfully established to predict the extracts' ability to suppress NO production and NF-κB activity with root mean squared errors of cross-validation (RMSECV) of 8.7% and 0.05-fold activity, respectively. Copyright © 2017 Elsevier B.V. All rights reserved. KEYWORDS: ATR-FTIR spectroscopy; Anti-inflammatory activity; Cell-based assays; Chemometrics; Plant quality control; Traditional Chinese medicine PMID: 28841989 DOI: 10.1016/j.talanta.2017.07.045