40
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Erythritol is a pentose-phosphate pathway metabolite and associated with adiposity gain in young adults

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      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.

          Significance

          The prevention of weight gain in adulthood is a public health challenge, particularly given the difficulty of losing weight. Data on freshmen were collected at the beginning and end of the academic year, and baseline blood samples were studied to find markers of incident weight gain. A metabolite, erythritol, was elevated at the beginning of the year in freshmen who went on to gain weight, fat, and abdominal fat compared with freshmen with stable weight. Erythritol is a sugar substitute low-calorie sweetener, and prior studies claimed no endogenous synthesis. We report a previously unrecognized metabolism of glucose to erythritol, and given the association between erythritol and weight gain, research is needed to understand whether and how this pathway contributes to weight gain risk.

          Abstract

          Metabolomic markers associated with incident central adiposity gain were investigated in young adults. In a 9-mo prospective study of university freshmen ( n = 264). Blood samples and anthropometry measurements were collected in the first 3 d on campus and at the end of the year. Plasma from individuals was pooled by phenotype [incident central adiposity, stable adiposity, baseline hemoglobin A1c (HbA1c) > 5.05%, HbA1c < 4.92%] and assayed using GC-MS, chromatograms were analyzed using MetaboliteDetector software, and normalized metabolite levels were compared using Welch’s t test. Assays were repeated using freshly prepared pools, and statistically significant metabolites were quantified in a targeted GC-MS approach. Isotope tracer studies were performed to determine if the potential marker was an endogenous human metabolite in men and in whole blood. Participants with incident central adiposity gain had statistically significantly higher blood erythritol [ P < 0.001, false discovery rate (FDR) = 0.0435], and the targeted assay revealed 15-fold [95% confidence interval (CI): 13.27, 16.25] higher blood erythritol compared with participants with stable adiposity. Participants with baseline HbA1c > 5.05% had 21-fold (95% CI: 19.84, 21.41) higher blood erythritol compared with participants with lower HbA1c ( P < 0.001, FDR = 0.00016). Erythritol was shown to be synthesized endogenously from glucose via the pentose-phosphate pathway (PPP) in stable isotope-assisted ex vivo blood incubation experiments and through in vivo conversion of erythritol to erythronate in stable isotope-assisted dried blood spot experiments. Therefore, endogenous production of erythritol from glucose may contribute to the association between erythritol and obesity observed in young adults.

          Related collections

          Most cited references23

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

          Fructose metabolism in humans – what isotopic tracer studies tell us

          Fructose consumption and its implications on public health are currently under study. This work reviewed the metabolic fate of dietary fructose based on isotope tracer studies in humans. The mean oxidation rate of dietary fructose was 45.0% ± 10.7 (mean ± SD) in non-exercising subjects within 3–6 hours and 45.8% ± 7.3 in exercising subjects within 2–3 hours. When fructose was ingested together with glucose, the mean oxidation rate of the mixed sugars increased to 66.0% ± 8.2 in exercising subjects. The mean conversion rate from fructose to glucose was 41% ± 10.5 (mean ± SD) in 3–6 hours after ingestion. The conversion amount from fructose to glycogen remains to be further clarified. A small percentage of ingested fructose (<1%) appears to be directly converted to plasma TG. However, hyperlipidemic effects of larger amounts of fructose consumption are observed in studies using infused labeled acetate to quantify longer term de novo lipogenesis. While the mechanisms for the hyperlipidemic effect remain controversial, energy source shifting and lipid sparing may play a role in the effect, in addition to de novo lipogenesis. Finally, approximately a quarter of ingested fructose can be converted into lactate within a few of hours. The reviewed data provides a profile of how dietary fructose is utilized in humans.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Role of dietary proteins and amino acids in the pathogenesis of insulin resistance.

            Dietary proteins and amino acids are important modulators of glucose metabolism and insulin sensitivity. Although high intake of dietary proteins has positive effects on energy homeostasis by inducing satiety and possibly increasing energy expenditure, it has detrimental effects on glucose homeostasis by promoting insulin resistance and increasing gluconeogenesis. Varying the quality rather than the quantity of proteins has been shown to modulate insulin resistance induced by Western diets and has revealed that proteins derived from fish might have the most desirable effects on insulin sensitivity. In vitro and in vivo data also support an important role of amino acids in glucose homeostasis through modulation of insulin action on muscle glucose transport and hepatic glucose production, secretion of insulin and glucagon, as well as gene and protein expression in various tissues. Moreover, amino acid signaling is integrated by mammalian target of rapamycin, a nutrient sensor that operates a negative feedback loop toward insulin receptor substrate 1 signaling, promoting insulin resistance for glucose metabolism. This integration suggests that modulating dietary proteins and the flux of circulating amino acids generated by their consumption and digestion might underlie powerful new approaches to treat various metabolic diseases such as obesity and diabetes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Human metabolic correlates of body mass index.

              A high body mass index (BMI) is a major risk factor for several chronic diseases, but the biology underlying these associations is not well-understood. Dyslipidemia, inflammation, and elevated levels of growth factors and sex steroid hormones explain some of the increased disease risk, but other metabolic factors not yet identified may also play a role.
                Bookmark

                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                23 May 2017
                8 May 2017
                : 114
                : 21
                : E4233-E4240
                Affiliations
                [1] aDivision of Nutritional Sciences, Cornell University , Ithaca, NY 14853;
                [2] bLuxembourg Centre for Systems Biomedicine, University of Luxembourg , L-4367 Belvaux, Luxembourg;
                [3] c Integrated BioBank of Luxembourg , L-1210 Luxembourg, Luxembourg;
                [4] dDepartment of Health Policy and Research, Division of Epidemiology and Biostatistics, Weill Cornell Medical College , New York, NY 10065
                Author notes
                6To whom correspondence may be addressed. Email: pjs13@ 123456cornell.edu or pac6@ 123456cornell.edu .

                Contributed by Patrick J. Stover, April 4, 2017 (sent for review December 8, 2016; reviewed by Hannelore Daniel and Frank B. Hu)

                Author contributions: K.C.H., L.S.B., K.A.G., P.J.S., K.H., and P.A.C. designed research; K.C.H., J.-P.T., L.K., L.S.B., X.D., K.A.G., C.J., K.H., and P.A.C. performed research; K.C.H., J.-P.T., L.K., L.S.B., K.A.G., C.J., K.H., and P.A.C. contributed new reagents/analytic tools; K.C.H., J.-P.T., L.K., L.S.B., K.A.G., C.J., P.J.S., K.H., and P.A.C. analyzed data; and K.C.H., J.-P.T., L.K., L.S.B., K.A.G., P.J.S., K.H., and P.A.C. wrote the paper.

                Reviewers: H.D., Technical University of Munich; and F.B.H., Harvard School of Public Health.

                1Present address: Cardiovascular Disease Epidemiology & Prevention Training Program, Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN.

                2K.C.H. and J.-P.T. contributed equally to this work.

                3Present address: Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany.

                4Present address: Wells College, Aurora, NY.

                5Present address: Department of Public Health Sciences, University of Virginia, Charlottesville, VA.

                7Present address: Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.

                8K.H. and P.A.C. contributed equally to this work.

                Article
                PMC5448202 PMC5448202 5448202 201620079
                10.1073/pnas.1620079114
                5448202
                28484010
                f5a66bd1-e09c-4197-addd-66357f9d6538
                History
                Page count
                Pages: 8
                Funding
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 100000062
                Award ID: T32-DK-7158-38
                Categories
                PNAS Plus
                Biological Sciences
                Medical Sciences
                PNAS Plus

                adiposity,erythritol,weight gain,pentose-phosphate pathway,metabolomics

                Comments

                Comment on this article