15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Effects of Dietary Iron and Capsaicin on Hemoglobin, Blood Glucose, Insulin Tolerance, Cholesterol, and Triglycerides, in Healthy and Diabetic Wistar Rats

      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

          Objective

          Our aim was to assess the effects of dietary iron, and the compound capsaicin, on hemoglobin as well as metabolic indicators including blood glucose, cholesterol, triglycerides, insulin, and glucose tolerance.

          Materials and Methods

          Our animal model was the Wistar rat, fed a chow diet, with or without experimentally induced diabetes. Diabetic males were fed control, low, or high-iron diets, the latter, with or without capsaicin. Healthy rats were fed identical diets, but without the capsaicin supplement. We then measured the parameters listed above, using the Student t-test and ANOVA, to compare groups.

          Results

          Healthy rats fed a low-iron diet exhibited significantly reduced total cholesterol and triglyceride levels, compared with rats fed a control diet. Significantly reduced blood lipid was also provoked by low dietary iron in diabetic rats, compared with those fed a control diet. Insulin, and glucose tolerance was only improved in healthy rats fed the low-iron diet. Significant increases in total cholesterol were found in diabetic rats fed a high-iron diet, compared with healthy rats fed the same diet, although no statistical differences were found for triglycerides. Hemoglobin levels, which were not statistically different in diabetic versus healthy rats fed the high-iron diet, fell when capsaicin was added. Capsaicin also provoked a fall in the level of cholesterol and triglycerides in diabetic animals, versus diabetics fed with the high iron diet alone. In conclusion, low levels of dietary iron reduced levels of serum triglycerides, hemoglobin, and cholesterol, and significantly improved insulin, and glucose tolerance in healthy rats. In contrast, a high-iron diet increased cholesterol significantly, with no significant changes to triglyceride concentrations. The addition of capsaicin to the high-iron diet (for diabetic rats) further reduced levels of hemoglobin, cholesterol, and triglycerides. These results suggest that capsaicin, may be suitable for the treatment of elevated hemoglobin, in patients.

          Related collections

          Most cited references32

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

          A mathematical model for the determination of total area under glucose tolerance and other metabolic curves.

          M. M. Tai (1994)
          To develop a mathematical model for the determination of total areas under curves from various metabolic studies. In Tai's Model, the total area under a curve is computed by dividing the area under the curve between two designated values on the X-axis (abscissas) into small segments (rectangles and triangles) whose areas can be accurately calculated from their respective geometrical formulas. The total sum of these individual areas thus represents the total area under the curve. Validity of the model is established by comparing total areas obtained from this model to these same areas obtained from graphic method (less than +/- 0.4%). Other formulas widely applied by researchers under- or overestimated total area under a metabolic curve by a great margin. Tai's model proves to be able to 1) determine total area under a curve with precision; 2) calculate area with varied shapes that may or may not intercept on one or both X/Y axes; 3) estimate total area under a curve plotted against varied time intervals (abscissas), whereas other formulas only allow the same time interval; and 4) compare total areas of metabolic curves produced by different studies. The Tai model allows flexibility in experimental conditions, which means, in the case of the glucose-response curve, samples can be taken with differing time intervals and total area under the curve can still be determined with precision.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The role of iron in type 2 diabetes in humans.

            The role of micronutrients in the etiology of type 2 diabetes is not well established. Several lines of evidence suggest that iron play may a role in the pathogenesis of type 2 diabetes. Iron is a strong pro-oxidant and high body iron levels are associated with increased level of oxidative stress that may elevate the risk of type 2 diabetes. Several epidemiological studies have reported a positive association between high body iron stores, as measured by circulating ferritin level, and the risk of type 2 diabetes and of other insulin resistant states such as the metabolic syndrome, gestational diabetes and polycystic ovarian syndrome. In addition, increased dietary intake of iron, especially that of heme iron, is associated with risk of type 2 diabetes in apparently healthy populations. Results from studies that have evaluated the association between genetic mutations related to iron metabolism have been inconsistent. Further, several clinical trials have suggested that phlebotomy induced reduction in body iron levels may improve insulin sensitivity in humans. However, no interventional studies have yet directly evaluated the effect of reducing iron intake or body iron levels on the risk of developing type 2 diabetes. Such studies are required to prove the causal relationship between moderate iron overload and diabetes risk.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Unrecognized anemia in patients with diabetes: a cross-sectional survey.

              Anemia is common in diabetes, potentially contributing to the pathogenesis of diabetes complications. This study aims to establish the prevalence and independent predictors of anemia in a cross-sectional survey of 820 patients with diabetes in long-term follow-up in a single clinic. A full blood count was obtained in addition to routine blood and urine test results for all patients over a 2-year period to encompass all patterns of review. Predictors of the most recent Hb concentration and anemia were identified using multiple and logistic regression analysis. A total of 190 patients (23%) had unrecognized anemia (Hb 2 times (odds ratio [OR] 2.3) and macroalbuminuric patients >10 times (OR 10.1) as likely to have anemia than normoalbuminuric patients with preserved renal function (GFR >80 ml/min). Anemia is a common accompaniment to diabetes, particularly in those with albuminuria or reduced renal function. Additional factors present in diabetes may contribute to the development of increased risk for anemia in patients with diabetes.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 April 2016
                2016
                : 11
                : 4
                : e0152625
                Affiliations
                [1 ]Unidad de Investigación Dr. Enrico Stefani, Centro Universitario de Investigaciones Biomédicas, Universidad de Colima, Col. Villas San Sebastián, Colima, Colima, México
                [2 ]Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Universidad No. 655 Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera C.P., Cuernavaca, Morelos, México
                Monash University, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: XT MH SVH AMI. Performed the experiments: AMI EM MRS HC MIDR. Analyzed the data: AMI EM MRS XT MH SVH HC MIDR. Contributed reagents/materials/analysis tools: HC MIDR SVH XT MH. Wrote the paper: XT MH HC MIDR SVH.

                Author information
                http://orcid.org/0000-0001-7506-1674
                Article
                PONE-D-15-16992
                10.1371/journal.pone.0152625
                4827844
                27064411
                5a73cc24-eb23-45db-9164-ca93bdc7276b
                © 2016 Márquez-Ibarra et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 April 2015
                : 16 March 2016
                Page count
                Figures: 4, Tables: 4, Pages: 16
                Funding
                Funded by: FRABA-UDEC
                Award ID: 14-2013
                Award Recipient :
                Funded by: FRABA-UDEC
                Award ID: 14-2013
                Award Recipient :
                FRABA-Universidad de Colima-Mexico to XT and MH, provided partial sponsorship of this research. Part of these results were part of AMI's PhD Thesis at Faculty of Medicine, Universidad de Colima, México. AMI received a fellowship for PhD studies from CONACyT-Mexico.
                Categories
                Research Article
                Biology and Life Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Biology and Life Sciences
                Biochemistry
                Proteins
                Hemoglobin
                Biology and Life Sciences
                Biochemistry
                Lipids
                Cholesterol
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Diet and Type 2 Diabetes
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Type 2 Diabetes
                Diet and Type 2 Diabetes
                Medicine and Health Sciences
                Endocrinology
                Diabetic Endocrinology
                Insulin
                Biology and Life Sciences
                Biochemistry
                Hormones
                Insulin
                Biology and Life Sciences
                Biochemistry
                Metabolism
                Glucose Tolerance
                Biology and Life Sciences
                Biochemistry
                Lipids
                Custom metadata
                Data are from the PRESENT study whose authors may be contacted at UNIVERSIDAD DE COLIMA, Centro Universitario de Investigaicones Biomédicas, av. 25 de julio No. 965, Col. Villas San Sebastian, 28040-Colima, Colima, Mexico, e-mail: rosio@ 123456ucol.mx .

                Uncategorized
                Uncategorized

                Comments

                Comment on this article