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Connection

Louis Philipson to Diabetes Mellitus

This is a "connection" page, showing publications Louis Philipson has written about Diabetes Mellitus.
Connection Strength

3.775
  1. Werner Syndrome and Diabetes: Opportunities for Precision Medicine. Diabetes Care. 2024 May 01; 47(5):785-786.
    View in: PubMed
    Score: 0.523
  2. Precision medicine in KCNJ11 permanent neonatal diabetes. Lancet Diabetes Endocrinol. 2018 08; 6(8):594-595.
    View in: PubMed
    Score: 0.347
  3. Update on diabetes classification. Med Clin North Am. 2015 Jan; 99(1):1-16.
    View in: PubMed
    Score: 0.272
  4. Neonatal diabetes: the brain comes into focus. Lancet Diabetes Endocrinol. 2013 Nov; 1(3):167-8.
    View in: PubMed
    Score: 0.250
  5. Creation of the Web-based University of Chicago Monogenic Diabetes Registry: using technology to facilitate longitudinal study of rare subtypes of diabetes. J Diabetes Sci Technol. 2011 Jul 01; 5(4):879-86.
    View in: PubMed
    Score: 0.215
  6. Neonatal diabetes mellitus: a model for personalized medicine. Trends Endocrinol Metab. 2010 Aug; 21(8):464-72.
    View in: PubMed
    Score: 0.198
  7. In vitro processing and secretion of mutant insulin proteins that cause permanent neonatal diabetes. Am J Physiol Endocrinol Metab. 2010 Mar; 298(3):E403-10.
    View in: PubMed
    Score: 0.193
  8. Clinical Characteristics and Remission Monitoring of 6q24-Related Transient Neonatal Diabetes. Pediatr Diabetes. 2024; 2024:3624339.
    View in: PubMed
    Score: 0.136
  9. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med. 2023 10; 29(10):2438-2457.
    View in: PubMed
    Score: 0.126
  10. Monogenic Diabetes: From Genetic Insights to Population-Based Precision in Care. Reflections From a Diabetes Care Editors' Expert Forum. Diabetes Care. 2020 12; 43(12):3117-3128.
    View in: PubMed
    Score: 0.103
  11. Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia. 2020 09; 63(9):1671-1693.
    View in: PubMed
    Score: 0.101
  12. Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2020 07; 43(7):1617-1635.
    View in: PubMed
    Score: 0.100
  13. Monogenic Diabetes in Children and Adolescents: Recognition and Treatment Options. Curr Diab Rep. 2018 06 22; 18(8):58.
    View in: PubMed
    Score: 0.087
  14. Pancreatic Histopathology of Human Monogenic Diabetes Due to Causal Variants in KCNJ11, HNF1A, GATA6, and LMNA. J Clin Endocrinol Metab. 2018 01 01; 103(1):35-45.
    View in: PubMed
    Score: 0.084
  15. FOXP3 mutations causing early-onset insulin-requiring diabetes but without other features of immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome. Pediatr Diabetes. 2018 05; 19(3):388-392.
    View in: PubMed
    Score: 0.084
  16. Preservation of Reduced Numbers of Insulin-Positive Cells in Sulfonylurea-Unresponsive KCNJ11-Related Diabetes. J Clin Endocrinol Metab. 2017 01 01; 102(1):1-5.
    View in: PubMed
    Score: 0.079
  17. Patients with KCNJ11-related diabetes frequently have neuropsychological impairments compared with sibling controls. Diabet Med. 2016 10; 33(10):1380-6.
    View in: PubMed
    Score: 0.076
  18. An online monogenic diabetes discussion group: supporting families and fueling new research. Transl Res. 2015 Nov; 166(5):425-31.
    View in: PubMed
    Score: 0.071
  19. Continued lessons from the INS gene: an intronic mutation causing diabetes through a novel mechanism. J Med Genet. 2015 Sep; 52(9):612-6.
    View in: PubMed
    Score: 0.071
  20. Age at the time of sulfonylurea initiation influences treatment outcomes in KCNJ11-related neonatal diabetes. Diabetologia. 2015 Jul; 58(7):1430-5.
    View in: PubMed
    Score: 0.070
  21. Quantifying insulin sensitivity and entero-insular responsiveness to hyper- and hypoglycemia in ferrets. PLoS One. 2014; 9(3):e90519.
    View in: PubMed
    Score: 0.065
  22. Genetic complexity in a Drosophila model of diabetes-associated misfolded human proinsulin. Genetics. 2014 Feb; 196(2):539-55.
    View in: PubMed
    Score: 0.063
  23. Microcephaly, epilepsy, and neonatal diabetes due to compound heterozygous mutations in IER3IP1: insights into the natural history of a rare disorder. Pediatr Diabetes. 2014 May; 15(3):252-6.
    View in: PubMed
    Score: 0.063
  24. A computational systems analysis of factors regulating a cell glucagon secretion. Islets. 2012 Jul-Aug; 4(4):262-83.
    View in: PubMed
    Score: 0.058
  25. Neonatal diabetes: an expanding list of genes allows for improved diagnosis and treatment. Curr Diab Rep. 2011 Dec; 11(6):519-32.
    View in: PubMed
    Score: 0.055
  26. The cost-effectiveness of personalized genetic medicine: the case of genetic testing in neonatal diabetes. Diabetes Care. 2011 Mar; 34(3):622-7.
    View in: PubMed
    Score: 0.052
  27. Disruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes. Nature. 2010 Jul 29; 466(7306):627-31.
    View in: PubMed
    Score: 0.050
  28. Blood sugar measurement in zebrafish reveals dynamics of glucose homeostasis. Zebrafish. 2010 Jun; 7(2):205-13.
    View in: PubMed
    Score: 0.050
  29. Tooth discoloration in patients with neonatal diabetes after transfer onto glibenclamide: a previously unreported side effect. Diabetes Care. 2009 Aug; 32(8):1428-30.
    View in: PubMed
    Score: 0.046
  30. Insulin gene mutations as a cause of permanent neonatal diabetes. Proc Natl Acad Sci U S A. 2007 Sep 18; 104(38):15040-4.
    View in: PubMed
    Score: 0.041
  31. Developmental defects and impaired network excitability in a cerebral organoid model of KCNJ11 p.V59M-related neonatal diabetes. Sci Rep. 2021 11 03; 11(1):21590.
    View in: PubMed
    Score: 0.028
  32. K+ channels: generating excitement in pancreatic beta-cells. Diabetes. 1996 Jul; 45(7):845-53.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.