Please login first
FTIR Spectroscopy for Evaluation and Monitoring of Lipid Extraction Efficiency for murine liver tissues analysis
* , , ,
1  Dipartimento di Medicina Sperimentale, Università della Campania "Luigi Vanvitelli", 80138, Napoli, Italy
Academic Editor: Stefano Mariani

https://doi.org/10.3390/ecsa-8-11321 (registering DOI)
Abstract:

Over the past several decades, growing research on lipids and lipidomic technologies have shown how the perception of lipids has changed. Lipids are functionally versatile molecules in plants, animals and humans. They are certainly key components of the cell membranes and a source of energy, but they also play an essential role in physiology and pathophysiology, in signal transduction between cells and body metabolism and act as diagnostic and/or prognostic biomarkers of different diseases [1]. Many studies have shown the relationship between altered lipid metabolism and type 2 diabetes mellitus (T2DM) or metabolic disease as Nonalcoholic fatty liver disease (NAFLD) or neurodegenerative disease as Parkinson’s Disease or Atherosclerosis (a risk factor for ischemic stroke) [2-4]. A powerful technique used for lipids detection and characterization in biological tissues is Fourier Transform Infrared (FTIR) spectroscopy [5]. The main goal of the present work is to exploit FTIR spectroscopy as a tool for monitoring lipid extraction efficiency by evaluating three different lipid extraction methods [6]. FTIR spectroscopy is used to monitor the extraction efficiency of the Folch [7], Bume [8] and modified Bume [9] methods in murine liver tissues. In particular, infrared spectra will be obtained in the 4000-600 cm-1 wavenumber region and the contributions of different functional groups will be evidenced. The ratio values estimated using the absorbance of selected bands related to different liver constituents will be used for a quantitative comparison of the efficiency of the different extraction methods.

[1] Bari M, Bisogno T, Battista N. Bioactive Lipids in Health and Disease. Biomolecules. 2020 Dec; 10(12): 1698.

[2] Rhee EP, Cheng S, Larson MG, Walford GA, Lewis GD, McCabe E, Yang E, Farrell L, Fox CS, O’Donnell CJ, Carr SA, Vasan RS, Florez JC, Clish CB, Wang TJ, Gerszten RE. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J Clin Invest. 2011;121:1402–11.

[3] Yetukuri L, Katajamaa M, Medina-Gomez G, Seppanen-Laakso T, Vidal-Puig A, Oresic M. Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis. BMC Syst Biol. 2007;1:12.

[4] Chan RB, Oliveira TG, Cortes EP, Honig LS, Duff KE, Small SA, Wenk MR, Shui G, Di Paolo G. Comparative lipidomic analysis of mouse and human brain with Alzheimer disease. J Biol Chem. 2012;287:2678–88.

[5] M. J Baker et al Using Fourier transform IR spectroscopy to analyze biological materials Nature Protocols, 2014, 9(8), 1771-1791.

[6] K. Forfang, B. Zimmermann, G. Kosa, A. Kohler, V. Shapaval FTIR Spectroscopy for Evaluation and Monitoring of Lipid Extraction Efficiency for Oleaginous Fungi PLoS ONE 12(1): e0170611. doi:10.1371/journal.pone.0170611.

[7] Ulmer, Candice Z et al. “Optimization of Folch, Bligh-Dyer, and Matyash sample-to-extraction solvent ratios for human plasma-based lipidomics studies.” Analytica chimica acta vol. 1037 (2018): 351-357. doi:10.1016/j.aca.2018.08.004.

[8] Löfgren, L. et al. The BUME method: a new rapid and simple chloroform-free method for total lipid extraction of animal tissue. Sci. Rep. 6, 27688; doi: 10.1038/srep27688 (2016).

[9] Cruz M, Wang M, Frisch-Daiello J, Han X. Improved Butanol-Methanol (BUME) Method by Replacing Acetic Acid for Lipid Extraction of Biological Samples. Lipids. 2016;51(7):887-896. doi:10.1007/s11745-016-4164-7.

Keywords: lipids, murine liver tissue, extraction methods, FTIR spectroscopy.

 
 
Top