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Metabolic profiling of firefighter plasma using 1H NMR platform following curcumin, ketone supplementations and carbohydrate restricted diet benefits for oxidative stress suppression

Occupational health surveys reported that first responders such as firefighters (FF) have some of the highest levels of cardiovascular disease in the nation from poor eating habits and lack of exercise. Three studies were established with goals to identify oxidative stress (OS) biomarkers and improve cardiovascular health for FF including: 1) a 28-day-carbohydrate restricted diet (CRD), 2) a heat-house search and clear protocol in personal protection equipment (PPE) plus curcumin supplementation, and 3) a treadmill exercise protocol in PPE with ketone salt supplementation. During those studies, stored blood plasma subsamples were evaluated for targeted antioxidants or untargeted metabolite concentration fluctuations using 1H NMR. Results from the 28-day-CRD tracked 40 metabolites consistently pre- and post-diet using 1H NMR platform. Of these metabolites’ acetone, β-hydroxybutyrate, leucine, and valine significantly upregulated while isoleucine downregulated. The plasma from the curcumin supplementation study contained 34 metabolites that were consistently identified. Lactate significantly upregulated immediate after exercise but returned to pre-exercise levels at 30 min post exercise while all the other metabolites were similar. From the ketone salt study 38 metabolites that were consistently identified from the pre- and post-exercise samples. Mean concentrations of acetone and β-hydroxybutyrate were significantly upregulated as were leucine and valine pre- and post-exercise while isoleucine downregulated. Lactate increased with ketone salt ingestion post-exercise and up to 30 min post-exercise but returned to normal at 24 h post-exercise compared to pre-exercise levels. Six other metabolites significantly differed in concentrations when compared across sampling times with no discernable impacts to OS or other notable trends. Multivariate analyses using principal components analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) models were not supported using cross-validation for Q2 coefficients and permutations values at p ≤ 0.05. From these results no metabolites were shown to support transient OS suppression.

Identiferoai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-6404
Date12 May 2022
CreatorsBaird, Richard Eugene
PublisherScholars Junction
Source SetsMississippi State University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceTheses and Dissertations

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