2014
DOI: 10.1016/j.chroma.2014.08.049
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Merging bioactivity with liquid chromatography-mass spectrometry-based chemometrics to identify minor immunomodulatory compounds from a Micronesian adaptogen, Phaleria nisidai

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Cited by 23 publications
(21 citation statements)
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“…Simplexin, acetoxyhuratoxin and huratoxin are known to be acutely toxic, and sometimes deadly, to livestock by damaging the gastrointestinal tract and causing heart failure (Fletcher et al, 2009;Roberts et al, 1975;Wilson et al, 2007). Previous work by our group revealed that these, and other daphnane compounds were present in hydrophobic Phaleria nisidai fractions with immunomodulatory activity (Kulakowski et al, 2014).…”
Section: Discussionmentioning
confidence: 92%
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“…Simplexin, acetoxyhuratoxin and huratoxin are known to be acutely toxic, and sometimes deadly, to livestock by damaging the gastrointestinal tract and causing heart failure (Fletcher et al, 2009;Roberts et al, 1975;Wilson et al, 2007). Previous work by our group revealed that these, and other daphnane compounds were present in hydrophobic Phaleria nisidai fractions with immunomodulatory activity (Kulakowski et al, 2014).…”
Section: Discussionmentioning
confidence: 92%
“…We have previously used the production of IFNȖ by peripheral blood mononuclear cells (PBMCs) to guide fractionation of a methanol extract of P. nisidai and found that daphnane-type diterpene orthoesters contribute to the immunostimulatory activity of this plant (Kulakowski et al, 2014), which was the first report of diterpene esters from the Phaleria genus.…”
Section: Bioactivity and Chemistrymentioning
confidence: 99%
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“…14 In contrast, Kulakowski et al utilized unsupervised principal component analysis (PCA) and supervised orthogonal partial least-squares discriminatory analysis (OPLS-DA) to correlate bioactivity to LC-MS profiles. 6 PCA can be used to group samples based upon covariance, so fractions with similar profiles will be clustered, while others will be in a different location in the PCA scores plot. PCA is useful for describing chemical differences among samples, but does not provide insight into which of the constituents of these samples are biologically active.…”
mentioning
confidence: 99%
“…OPLS-DA allows for the incorporation of biological data, which were in this case binary classifications, i.e., active/nonactive fractions. 6 OPLS-DA plots appear similar to PCA plots, and an OPLS-DA model can be represented as an S-plot, where each axis represents the covariance and correlation loading variables. 15 Biomarkers with intensities that correlate and covary with the bioactivity appear the furthest from the origin.…”
mentioning
confidence: 99%