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      Mapping metabolome changes in Luffa aegyptiaca Mill fruits at different maturation stages via MS-based metabolomics and chemometrics

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          Graphical abstract

          Abstract

          Introduction

          Luffa aegyptiaca Mill, sponge gourd or Egyptian cucumber, is grown worldwide for its edible fruit consumed as a vegetable like cucumber. Unlike young fruit (YF), the fully mature ripened fruit (MF) is strongly fibrous and is used as a cleanser to make scrubbing bath sponges. YF undergoes a complex series of physiological and biochemical changes during fruit ripening. However, the chemical compositional differences between YF and MF in Luffa aegyptiaca have not been distinguished to date.

          Objectives

          Comprehensively compare the metabolites profile of YF and MF to give insight on how maturation stage affects chemical composition.

          Methods

          Mass-based metabolomics comprising GC/MS and UHPLC/MS were adopted in this study targeting its volatile and non-volatile metabolites coupled with chemometrics to rationalize for the differences.

          Results

          A total of 53 volatile metabolites were identified via headspace solid phase microextraction (SPME) comprising 66.2% aldehydes/furans, 51.6% alcohols, 38.2% ketones, 15.1% acids and 10.1% aromatics of which aldehydes/ furans were dominant at both fruit stages. Young fruit was in general more erniched in metabolites as revealed from UHPLC/MS and GC/MS analyses. The YF group encompassed higher levels of short chain alcohols (1-octen-3-ol) and aldehydes ((E)-2-hexenal and cucumber aldehyde) in addition to terpenoids (linalool). In contrast, fatty acids (octanoic acid) predominated MF specimens. UHPLC/MS analysis revealed for several oleanene triterpene glycosides as major secondary bioactive compounds, dihydroxy-oxo-oleanenoic acid glycoside found more abundant in YF versus MF as revealed from multivariate data analyses.

          Conclusions

          Our results reveal for the distinct metabolite changes in L. aegyptiaca fruit in its different stages and to rationalize for its different usage.

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          Most cited references48

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          XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

          Metabolite profiling in biomarker discovery, enzyme substrate assignment, drug activity/specificity determination, and basic metabolic research requires new data preprocessing approaches to correlate specific metabolites to their biological origin. Here we introduce an LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching. Without using internal standards, the method dynamically identifies hundreds of endogenous metabolites for use as standards, calculating a nonlinear retention time correction profile for each sample. Following retention time correction, the relative metabolite ion intensities are directly compared to identify changes in specific endogenous metabolites, such as potential biomarkers. The software is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples. XCMS is freely available under an open-source license at http://metlin.scripps.edu/download/.
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            Dietary fat intake and risk of type 2 diabetes in women.

            The long-term relations between specific types of dietary fat and risk of type 2 diabetes remain unclear. Our objective was to examine the relations between dietary fat intakes and the risk of type 2 diabetes. We prospectively followed 84204 women aged 34-59 y with no diabetes, cardiovascular disease, or cancer in 1980. Detailed dietary information was assessed at baseline and updated in 1984, 1986, and 1990 by using validated questionnaires. Relative risks of type 2 diabetes were obtained from pooled logistic models adjusted for nondietary and dietary covariates. During 14 y of follow-up, 2507 incident cases of type 2 diabetes were documented. Total fat intake, compared with equivalent energy intake from carbohydrates, was not associated with risk of type 2 diabetes; for a 5% increase in total energy from fat, the relative risk (RR) was 0.98 (95% CI: 0.94, 1.02). Intakes of saturated or monounsaturated fatty acids were also not significantly associated with the risk of diabetes. However, for a 5% increase in energy from polyunsaturated fat, the RR was 0.63 (0.53, 0.76; P < 0.0001) and for a 2% increase in energy from trans fatty acids the RR was 1.39 (1.15, 1.67; P = 0.0006). We estimated that replacing 2% of energy from trans fatty acids isoenergetically with polyunsaturated fat would lead to a 40% lower risk (RR: 0.60; 95% CI: 0.48, 0.75). These data suggest that total fat and saturated and monounsaturated fatty acid intakes are not associated with risk of type 2 diabetes in women, but that trans fatty acids increase and polyunsaturated fatty acids reduce risk. Substituting nonhydrogenated polyunsaturated fatty acids for trans fatty acids would likely reduce the risk of type 2 diabetes substantially.
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              Identification and use of potential bacterial organic antifungal volatiles in biocontrol

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                Author and article information

                Contributors
                Journal
                J Adv Res
                J Adv Res
                Journal of Advanced Research
                Elsevier
                2090-1232
                2090-1224
                24 October 2019
                March 2021
                24 October 2019
                : 29
                : 179-189
                Affiliations
                [a ]Department of Pharmacognosy, National Research Centre, 33 El Buhouth St., P.O. 12622 (ID:60014618), Cairo, Egypt
                [b ]Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr el Aini St., P.B. 11562, Cairo, Egypt
                [c ]Chemistry Department, School of Sciences & Engineering, The American University in Cairo, New Cairo 11835, Egypt
                Author notes
                [* ]Corresponding author at: Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr el Aini St., P.B. 11562, Cairo, Egypt. mohamed.farag@ 123456pharma.cu.edu.eg mohamed.alifarag@ 123456aucegypt.edu
                Article
                S2090-1232(19)30167-5
                10.1016/j.jare.2019.10.009
                8020157
                33842015
                87b8b320-1adb-4801-92ee-0915f0a8bad7
                © 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 18 August 2019
                : 11 October 2019
                : 23 October 2019
                Categories
                Agricilture

                luffa aegyptiaca,gc/ms,uhplc/ms,metabolomics,spme
                luffa aegyptiaca, gc/ms, uhplc/ms, metabolomics, spme

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