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Articles

Directional Relationship Between Vitamin D Status and Prediabetes: A New Approach from Artificial Neural Network in a Cohort of Workers with Overweight-Obesity

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Pages 681-692 | Received 11 Dec 2018, Accepted 28 Feb 2019, Published online: 25 Apr 2019

References

  • Bansal N. Prediabetes diagnosis and treatment: a review. World J Diabetes. 2015;6(2):296–303. ISSN 1948-9358 (online). doi:10.4239/wjd.v6.i2.296.
  • Pannu PK, Piers LS, Soares MJ, Zhao Y, Ansari Z. Vitamin D status is inversely associated with markers of risk for type 2 diabetes: a population based study in Victoria, Australia. PLoS One. 2017;12(6):e0178825. doi:10.1371/journal.pone.0178825.
  • Bobbioni-Harsch E, Pataky Z, Makoundou V, Laville M, Disse E, Anderwald C, Konrad T, Golay A, Risc I. From metabolic normality to cardiometabolic risk factors in subjects with obesity. Obesity. 2012;20(10):2063–9. doi:10.1038/oby.2012.69.
  • Patel S, Farragher T, Berry J, Bunn D, SIlman A, Symmons D. Association between serum vitamin D metabolite levels and disease activity in patients with early inflammatory polyarthritis. Arthritis Rheum. 2007;56(7):2143–9. doi:10.1002/art.22722.
  • Guillot X, Semerano L, Saidenberg-Kermanac’h N, Falgarone G, Boissier M-C. Vitamin D and inflammation. Joint Bone Spine. 2010;77(6):552–7. doi:10.1016/j.jbspin.2010.09.018.
  • Mangin M, Shinha R, Fincher K. Inflammation and vitamin D: the infection connection. Inflamm Res. 2014;63(10):803–19. doi:10.1007/s00011-014-0755-z.
  • Mousa A, Misso M, Teede H, Scragg R, de Courten B. Effect of vitamin D supplementation on inflammation: protocol for a systematic review. BMJ Open. 2016;6(4):e010804. doi:10.1136/bmjopen-2015-010804.
  • Vigna L, Cassinelli L, Tirelli AS, Felicetta I, Napolitano F, Tomaino L, Mutti M, Barberi CE, Riboldi L. 25(OH)D levels in relation to gender, overweight, insulin resistance, and inflammation in a cross-sectional cohort of Northern Italian workers: evidence in support of preventive health care programs. J Am Coll Nutr. 2017;36(4):253–60. doi:10.1080/07315724.2016.1264280.
  • Skaaby T, Thuesen BH, Linneberg A. Vitamin D, cardiovascular disease and risk factors. Adv Exp Med Biol. 2017;996:221–30. doi:10.1007/978-3-319-56017-5_18.
  • Norman PE, Powell JT. Vitamin D and cardiovascular disease. Circ Res. 2014;114(2):379–93. doi:10.1161/CIRCRESAHA.113.301241.
  • Bischof MG1, Heinze G, Vierhapper H. Vitamin D status and its relation to age and body mass Index. Horm Res. 2006;66(5):211–5. doi:10.1159/000094932.
  • Carrelli A, Bucovsky M, Horst R, Cremers S, Zhang C, Bessler M, Schrope B, Evanko J, Blanco J, Silverberg SJ, et al. Vitamin D storage in adipose tissue of obese and normal weight women. J Bone Miner Res. 2017;32(2):237–424. doi:10.1002/jbmr.2979.
  • Worstman J, Matsuoka LY, Chen TC, Lu Z, Holick MF. Decreased bioavalability of vitamin D in obesity. Am J Clin Nutr. 2000;72(3):690–3. doi:10.1093/ajcn/72.3.690.
  • Krout D, Schaar A, Sun Y, Sukumaran P, Roemmich JN, Singh BB, Claycombe-Larson KJ. The TRPC1 Ca2+-permeable channel inhibits exercise-induced protection against high-fat diet-induced obesity and type II diabetes. J Biol Chem. 2017;292(50):20799–807. doi:10.1074/jbc.M117.809954.
  • Zemel MB. Proposed role of calcium and dairy food components in weight management and metabolic health. Phys Sportsmed. 2009;37(2):29–39. doi:10.3810/psm.2009.06.1707.
  • Rolim MC, Santos BM, Conceição G, Rocha PN. Relationship between vitamin D status, glycemic control and cardiovascular risk factors in Brazilians with type 2 diabetes mellitus. Diabetol Metab Syndr. 2016;8(1):77. doi:10.1186/s13098-016-0188-7.
  • Manickam B, Neagu V, Kukreja SC, Barengolts E. Relationship between glycated hemoglobin and circulating 25-hydroxyvitamin D concentration in African American and Caucasian American men. Endocr Pract. 2013;19(1):73–80. doi:10.4158/EP12168.OR.
  • Reis JP, von Mühlen D, Miller ER, 3rd, Michos ED, Appel LJ. Vitamin D status and cardiometabolic risk factor in the United Sates adolescent population. Pediatrics. 2009;3:e371–9. doi:10.1542/peds.2009-0213.
  • Ulivieri FM, Piodi LP, Grossi E, Rinaudo L, Messina C, Tassi AP, Filopanti M, Tirelli A, Sardanelli F. The role of carboxy-terminal crosslinking telopeptide of type I collagen, dual x-ray absorptiometry bone strain and Romberg test in a new osteoporotic fracture risk evaluation: a proposal from an observational study. PLoS One. 2018;13(1):e0190477. doi:10.1371/journal.pone.0190477.
  • Gironi M, Saresella M, Rovaris M, Vaghi M, Nemni R, Clerici M, Grossi E. A novel data mining system points out hidden relationships between immunological markers in multiple sclerosis. Immun Ageing. 2013;10(1):1. doi:10.1186/1742-4933-10-1.
  • Coppedè F, Grossi E, Buscema M, Migliore L. Application of artificial neural networks to investigate one-carbon metabolism in Alzheimer’s disease and healthy matched individuals. PLoS One. 2013;8(8):e74012. doi:10.1371/journal.pone.0074012.
  • Gallucci M, Zanardo A, Bendini M, Di Paola F, Boldrini P, Grossi E. Serum folate, homocysteine, brain atrophy, and auto-CM system: the treviso dementia (TREDEM) study. J Alzheimers Dis. 2014;38(3):581–7. doi:10.3233/JAD-130956.
  • Compare A, Calugi S, Marchesini G, Shonin E, Grossi E, Molinari E, Grave RD. Emotionally focused group therapy and dietary counseling in binge eating disorder. Effect on eating disorder psychopathology and quality of life. Appetite. 2013;71:361–8. doi:10.1016/j.appet.2013.09.007.
  • Grossi E, Podda GM, Pugliano M, Gabba S, Verri A, Carpani G, Buscema M, Casazza G, Cattaneo M. Prediction of optimal warfarin maintenance dose using advanced artificial neural networks. Pharmacogenomics. 2014;15(1):29–37. doi:10.2217/pgs.13.212.
  • Coppedè F, Grossi E, Lopomo A, Spisni R, Buscema M, Migliore L. Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer. Epigenomics. 2015;7(2):175–86. doi:10.2217/epi.14.77.
  • Buscema M, Grossi E, Montanini L, Street ME. Data mining of determinants of intrauterine growth retardation revisited using novel algorithms generating semantic maps and prototypical discriminating variable profiles. PLoS One. 2015;10(7):e0126020. doi:10.1371/journal.pone.0126020.
  • Narzisi A, Muratori F, Buscema M, Calderoni S, Grossi E. Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networks. Neuropsychiatr Dis Treat. 2015;11:1587–99. doi:10.2147/NDT.S81233.
  • Drago L, Toscano M, De Grandi R, Grossi E, Padovani EM, Peroni DG. Microbiota network and mathematic microbe mutualism in colostrum and mature milk collected in two different geographic areas: Italy versus Burundi. ISME J. 2017;11(4):875–84. doi:10.1038/ismej.2016.183.
  • Morelli V, Palmieri S, Lania A, Tresoldi A, Corbetta S, Cairoli E, Eller-Vainicher C, Arosio M, Copetti M, Grossi E, et al. Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks. Eur J Endocrinol. 2017;177(1):73–83. doi:10.1530/EJE-17-0047.
  • American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37(Suppl 1):S81–S90. doi:10.2337/dc14-S081.
  • Holick MF, Binkley NC, Bischoff-Ferrari HA, Gordon CM, Hanley DA, Heaney RP, Murad MH, Weaver CM, Endocrine Society. Evaluation, treatment, and prevention of vitamin D deficiency: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2011;96(7):1911–30. doi:10.1210/jc.2011-0385.
  • Matthews DR, Hosker JP, Rudenski AS, Burnett MA, Darling P, Bown EG, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9. doi:10.1007/BF00280883.
  • Buscema M, Grossi E. The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux disease. Int J Data Min Bioinform. 2008;2(4):362–404.
  • Buscema M, Newman F, Massini G, Grossi E, Tastle WJ, Liu AK. Assessing post radiotherapy treatment involving brain volume differences in children: an application of adaptive systems methodology. In: Tastle WJ editor. Data mining application using artificial adaptive systems. Chapter 1. New York (NY): Springer Science-Business Media. 2010. pp 1–23. doi:10.1007/978-1-4614-4223-3_1.
  • Osman R, L’Allier PL, Elgharib N, Tardif J-C. Critical appraisal of C-reactive protein throughout the spectrum of cardiovascular disease. Vasc Health Risk Manage. 2006;2(3):221–37. doi:10.2147/vhrm.2006.2.3.221.
  • International Expert Committee. International expert committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care. 2009;32(7):1327–34.
  • Guo F, Moellering DR, Garvey WT. Use of HbA1c for diagnoses of diabetes and prediabetes: comparison with diagnoses based on fasting and 2-hr glucose values and effects of gender, race, and age. Metab Syndr Relat Disord. 2014;12(5):258–68. doi:10.1089/met.2013.0128.
  • Gosmanov AR, Wan J. Low positive predictive value of hemoglobin A1c for diagnosis of prediabetes in clinical practice. Am J Med Sci. 2014;348(3):191–4. doi:10.1097/MAJ.0000000000000223.
  • Sequeira I, Poppitt S. HbA1c as a marker of prediabetes: a reliable screening tool or not? Insights Nutr Metabol. 2017;1(1):21–9.
  • Kahn HS, Cheng YJ. Comparison of adiposity indicators associated with fasting-state insulinemia, triglyceridemia, and related risk biomarkers in a nationally representative, adult population. Diabetes Res Clin Pract. 2018;136:7–15. doi:10.1016/j.diabres.2017.11.019.
  • Chen X, Wu W, Wang L, Shi Y, Shen F, Gu X, Jia Z. Association between 25-hydroxyvitamin D and epicardial adipose tissue in Chinese non-obese patients with type 2 diabetes. Med Sci Monit. 2017;23:4304–431.
  • Osati S, Homayounfar R, Hajifaraji M. Metabolic effects of vitamin D supplementation in vitamin D deficient patients (a double-blind clinical trial). Diabetes Metab Syndr. 2016;10(2 Suppl 1):S7–S10. doi:10.1016/j.dsx.2016.01.007.
  • Ahlqvist E, Storm P, Käräjämäki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018;6(5):361–9.
  • Tamayo T, Rosenbauer J, Wild SH, Spijkerman AM, Baan C, Forouhi NG, Herder C, Rathmann W. Diabetes in Europe: an update. Diabetes Res Clin Pract. 2014;103(2):206–17. doi:10.1016/j.diabres.2013.11.007.
  • LeFevre ML, U.S. Preventive Services Task Force. Screening for vitamin D deficiency in adults: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2015;162(2):133–40. doi:10.7326/M14-2450.

Appendix references

  • Buscema M, Newman F, Massini G, Grossi E, Tastle WJ, and Liu AK (2013) Assessing Post Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology, Chapter 1, pp 1–23, in W.J. Tastle (ed.), Data Mining Applications Using Artificial Adaptive Systems, doi: 10.1007/978-1-4614-4223-3_1, Springer Science + Business Media New York.
  • Hinton GE, Anderson JA editors (1989) Parallel Models of Associative Memory. Psychology press.
  • McClelland JL, Rumelhart DE (1988) Explorations in parallel distributed processing: A handbook of models, programs, and exercises. MIT Press, Boston, MA.
  • Grossberg S (1976) Adaptive pattern classification and universal recoding: Part I: Parallel development and coding of neural feature detectors. Biological Cybernetics 23: 121–134. PMID: 974165
  • Grossberg S (1978) A theory of visual coding, memory, and development. In Leeuwenberg ELJ, Buffart HFJM editors. Formal Theories of Visual Perception. John Wiley & Sons, New York.
  • Grossberg S (1980) How does the brain build a cognitive code? Psychol Rev 87: 1–51. PMID: 7375607

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