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Partial Least Squares-Discriminant Analysis (PLS-DA) is a supervised discriminant statistical method that uses partial least squares regression to model the relationship between metabolite expression and sample grouping to achieve prediction of the sample category

LPL is mainly expressed in non-parenchymal cells in the liver and is also involved in hepatic fibrogenesis [27]

Interestingly, intracellular glutathione levels were crucial in the regulation of several of the monocytes antifungal functions including resilience to oxidative stress, immunometabolism, nitric oxide production, phagocytosis, and cytokine production

All three biomarkers in sweat and serum were elevated in inpatients compared with outpatients or controls

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