Eizirik, D.L., Sammeth, M., Bouckenooghe, T., Bottu, G., Sisino, G., Igoillo-Esteve, M., Ortis, F., Santin, I., Colli, M.L., Barthson, J., Bouwens, L., Hughes, L., Gregory, L., Lunter, G., Marselli, L., Marchetti, P., McCarthy, M.I. and Cnop, M. (2012) The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines. PLOS Genetics, 8, e1002552.
https://doi.org/10.1371/journal.pgen.1002552

has been cited by the following article:

• TITLE: A Neurological Perspective upon Diabetes and Obesity, What They Are, and How They Can Be Measured

  AUTHORS: Graham Ewing

  KEYWORDS: Strannik, Mathematical Model, Autonomic Nervous System, Physiological Systems, Genotype, Phenotype

  JOURNAL NAME: Case Reports in Clinical Medicine, Vol.7 No.4, April 20, 2018

  ABSTRACT: New technologies bring new insights. The existence of the first mathematical model of how the brain regulates the autonomic nervous system and physiological systems, and knowledge of how this can be applied to screen or treat the diabetic, enables the author to take a comprehensive view of the etiology of diabetes and obesity. This paper illustrates the dynamic relationship between the brain, physiological systems and visceral organs. It highlights that 1) blood glucose is a neurally regulated physiological system, and/or network of organs, which function coherently in order to maintain blood glucose within normal physiological limits; and 2) that dysregulation of this physiological system (regulation of blood glucose levels), by genetic or phenotypic pathologies in the organs in this system, influences the prevailing levels of insulin, directly influences brain function and hence the coherent function of this and other physiological systems and organs e.g. blood pressure, sleep, pH, digestion, sexual function, etc. In addition 3) the observation that proteins may be coiled and reactive, or uncoiled and resist reacting with their reactive substrates, leads to a greater level of understanding of the mechanisms responsible for type 2 diabetes and obesity and how such conditions could be screened and treated.