10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Significant Changes in Metabolic Profiles after Intervention with Selenium and Coenzyme Q10 in an Elderly Population

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Selenium and coenzyme Q 10 (SeQ 10) are important for normal cellular function. Low selenium intake leads to increased cardiovascular mortality. Intervention with these substances with healthy elderly persons over a period of four years in a double-blind, randomised placebo-controlled prospective study showed reduced cardiovascular mortality, increased cardiac function, and a lower level of NT-proBNP. Therefore, we wanted to evaluate changes in biochemical pathways as a result of the intervention with SeQ 10 using metabolic profiling. From a population of 443 healthy elderly individuals that were given 200 µg selenium and 200 mg coenzyme Q 10, or placebo daily for four years, we selected nine males on active intervention and nine males on placebo for metabolic profiling in the main study. To confirm the results, two validation studies (study 1 n = 60 males, study 2 n = 37 males) were conducted. Principal component analyses were used on clinical and demographic data to select representative sets of samples for analysis and to divide the samples into batches for analysis. Gas chromatography time-of-flight mass spectrometry-based metabolomics was applied. The metabolite data were evaluated using univariate and multivariate approaches, mainly T-tests and orthogonal projections to latent structures (OPLS) analyses. Out of 95 identified metabolites, 19 were significantly decreased due to the intervention after 18 months of intervention. Significant changes could be seen in the pentose phosphate, the mevalonate, the beta-oxidation and the xanthine oxidase pathways. The intervention also resulted in changes in the urea cycle, and increases in the levels of the precursors to neurotransmitters of the brain. This adds information to previous published results reporting decreased oxidative stress and inflammation. This is the first-time metabolic profiling has been applied to elucidate the mechanisms behind an intervention with SeQ 10. The study is small and should be regarded as hypothesis-generating; however, the results are interesting and, therefore, further research in the area is needed. This study was registered at Clinicaltrials.gov, with the identifier NCT01443780.

          Related collections

          Most cited references61

          • Record: found
          • Abstract: not found
          • Article: not found

          OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults

            OBJECTIVE Branched-chain and aromatic amino acids are associated with the risk for future type 2 diabetes; however, the underlying mechanisms remain elusive. We tested whether amino acids predict insulin resistance index in healthy young adults. RESEARCH DESIGN AND METHODS Circulating isoleucine, leucine, valine, phenylalanine, tyrosine, and six additional amino acids were quantified in 1,680 individuals from the population-based Cardiovascular Risk in Young Finns Study (baseline age 32 ± 5 years; 54% women). Insulin resistance was estimated by homeostasis model assessment (HOMA) at baseline and 6-year follow-up. Amino acid associations with HOMA of insulin resistance (HOMA-IR) and glucose were assessed using regression models adjusted for established risk factors. We further examined whether amino acid profiling could augment risk assessment of insulin resistance (defined as 6-year HOMA-IR >90th percentile) in early adulthood. RESULTS Isoleucine, leucine, valine, phenylalanine, and tyrosine were associated with HOMA-IR at baseline and for men at 6-year follow-up, while for women only leucine, valine, and phenylalanine predicted 6-year HOMA-IR (P < 0.05). None of the other amino acids were prospectively associated with HOMA-IR. The sum of branched-chain and aromatic amino acid concentrations was associated with 6-year insulin resistance for men (odds ratio 2.09 [95% CI 1.38–3.17]; P = 0.0005); however, including the amino acid score in prediction models did not improve risk discrimination. CONCLUSIONS Branched-chain and aromatic amino acids are markers of the development of insulin resistance in young, normoglycemic adults, with most pronounced associations for men. These findings suggest that the association of branched-chain and aromatic amino acids with the risk for future diabetes is at least partly mediated through insulin resistance.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Aging and DNA methylation

              In this Opinion article, we summarize how changes in DNA methylation occur during aging in mammals and discuss examples of how such events may contribute to the aging process. We explore mechanisms that could facilitate DNA methylation changes in a site-specific manner and highlight a model in which region-specific DNA hypermethylation during aging is facilitated in a competitive manner by destabilization of the Polycomb repressive complex.
                Bookmark

                Author and article information

                Journal
                Biomolecules
                Biomolecules
                biomolecules
                Biomolecules
                MDPI
                2218-273X
                30 September 2019
                October 2019
                : 9
                : 10
                : 553
                Affiliations
                [1 ]Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, SE-581 85 Linköping, Sweden
                [2 ]Department of Social and Welfare Studies, Linköping University, SE-581 83 Linköping, Sweden; peter.b.johansson@ 123456liu.se
                [3 ]Department of Internal Medicine, Linköping University, SE-581 83 Linköping, Sweden
                [4 ]Department of Medical and Health Sciences, Linköping University, SE-581 83 Linköping, Sweden
                [5 ]Research Department, Innlandet Hospital Trust, N-2380 Brumunddal, Norway; jaol-aas@ 123456online.no
                [6 ]Norwegian Institute of Public Health, N-0403 Oslo, Norway; Jan.Alexander@ 123456fhi.no
                [7 ]AcureOmics AB, Tvistevägen 48, SE-907 36 Umeå, Sweden; izabella.surowiec@ 123456acureomics.com (I.S.); katrin.lundstedt-enkel@ 123456telia.com (K.L.-E.); torbjorn.Lundstedt@ 123456acureomics.com (T.L.)
                Author notes
                [* ]Correspondence: urban.alehagen@ 123456liu.se
                Author information
                https://orcid.org/0000-0002-7518-5703
                https://orcid.org/0000-0002-6381-5720
                https://orcid.org/0000-0001-7377-8903
                Article
                biomolecules-09-00553
                10.3390/biom9100553
                6843494
                31575091
                d01f0085-faba-4833-b5fd-debb3b2a37c6
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 August 2019
                : 26 September 2019
                Categories
                Article

                selenium,coenzyme q10,elderly,metabolic profiling
                selenium, coenzyme q10, elderly, metabolic profiling

                Comments

                Comment on this article