Literature DB >> 30685765

Precision Diabetes Is Slowly Becoming a Reality.

Viswanathan Mohan1, Venkatesan Radha2.   

Abstract

The concept of precision medicine is becoming increasingly popular. The use of big data, genomics and other "omics" like metabolomics, proteomics and transcriptomics could make the dream of personalised medicine become a reality in the near future. As far as polygenic forms of diabetes like type 2 and type 1 diabetes are concerned, interesting leads are emerging, but precision diabetes is still in its infancy. However, with regard to monogenic forms of diabetes like maturity-onset diabetes of the young and neonatal diabetes mellitus, rapid strides have been made and precision diabetes has already become part of the clinical tools used at advanced diabetes centres. In patients with some monogenic form of diabetes, if the appropriate gene defects are identified, insulin injections can be stopped and be replaced by oral sulphonylurea drugs. In the coming years, rapid advances can be expected in the field of precision diabetes, thereby making the control of diabetes more effective and hopefully leading to prevention of its complications and improvement of the quality of life of people afflicted with diabetes.
© 2019 The Author(s) Published by S. Karger AG, Basel.

Entities:  

Keywords:  Maturity-onset diabetes of the young; Monogenic diabetes; Neonatal diabetes; Personalised diabetes; Personalised medicine; Precision diabetes; Precision medicine

Mesh:

Substances:

Year:  2019        PMID: 30685765      PMCID: PMC6558328          DOI: 10.1159/000497241

Source DB:  PubMed          Journal:  Med Princ Pract        ISSN: 1011-7571            Impact factor:   1.927


  73 in total

1.  Association between CYP2C9 slow metabolizer genotypes and severe hypoglycaemia on medication with sulphonylurea hypoglycaemic agents.

Authors:  A Holstein; A Plaschke; M Ptak; E-H Egberts; J El-Din; J Brockmöller; J Kirchheiner
Journal:  Br J Clin Pharmacol       Date:  2005-07       Impact factor: 4.335

2.  Refinement of the 6q chromosomal region implicated in transient neonatal diabetes.

Authors:  H Cavé; M Polak; S Drunat; E Denamur; P Czernichow
Journal:  Diabetes       Date:  2000-01       Impact factor: 9.461

3.  Molecular genetics and phenotypic characteristics of MODY caused by hepatocyte nuclear factor 4alpha mutations in a large European collection.

Authors:  E R Pearson; S Pruhova; C J Tack; A Johansen; H A J Castleden; P J Lumb; A S Wierzbicki; P M Clark; J Lebl; O Pedersen; S Ellard; T Hansen; A T Hattersley
Journal:  Diabetologia       Date:  2005-04-14       Impact factor: 10.122

4.  Sensitivity to sulphonylureas in patients with hepatocyte nuclear factor-1alpha gene mutations: evidence for pharmacogenetics in diabetes.

Authors:  E R Pearson; W G Liddell; M Shepherd; R J Corrall; A T Hattersley
Journal:  Diabet Med       Date:  2000-07       Impact factor: 4.359

Review 5.  Activating mutations in Kir6.2 and neonatal diabetes: new clinical syndromes, new scientific insights, and new therapy.

Authors:  Andrew T Hattersley; Frances M Ashcroft
Journal:  Diabetes       Date:  2005-09       Impact factor: 9.461

6.  A difference between the inheritance of classical juvenile-onset and maturity-onset type diabetes of young people.

Authors:  R B Tattersall; S S Fajans
Journal:  Diabetes       Date:  1975-01       Impact factor: 9.461

7.  Permanent neonatal diabetes due to mutations in KCNJ11 encoding Kir6.2: patient characteristics and initial response to sulfonylurea therapy.

Authors:  Jørn V Sagen; Helge Raeder; Eba Hathout; Naim Shehadeh; Kolbeinn Gudmundsson; Halvor Baevre; Dianne Abuelo; Chanika Phornphutkul; Janne Molnes; Graeme I Bell; Anna L Gloyn; Andrew T Hattersley; Anders Molven; Oddmund Søvik; Pål R Njølstad
Journal:  Diabetes       Date:  2004-10       Impact factor: 9.461

8.  Contrasting diabetes phenotypes associated with hepatocyte nuclear factor-1alpha and -1beta mutations.

Authors:  Ewan R Pearson; Michael K Badman; Christopher R Lockwood; Penelope M Clark; Sian Ellard; Coralie Bingham; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

9.  Genetic cause of hyperglycaemia and response to treatment in diabetes.

Authors:  Ewan R Pearson; Bryan J Starkey; Roy J Powell; Fiona M Gribble; Penny M Clark; Andrew T Hattersley
Journal:  Lancet       Date:  2003-10-18       Impact factor: 79.321

10.  Polymorphism in CYP2C8 is associated with reduced plasma concentrations of repaglinide.

Authors:  Mikko Niemi; Julian B Leathart; Mikko Neuvonen; Janne T Backman; Ann K Daly; Pertti J Neuvonen
Journal:  Clin Pharmacol Ther       Date:  2003-10       Impact factor: 6.875

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  6 in total

1.  Integration of Infant Metabolite, Genetic, and Islet Autoimmunity Signatures to Predict Type 1 Diabetes by Age 6 Years.

Authors:  Bobbie-Jo M Webb-Robertson; Ernesto S Nakayasu; Brigitte I Frohnert; Lisa M Bramer; Sarah M Akers; Jill M Norris; Kendra Vehik; Anette-G Ziegler; Thomas O Metz; Stephen S Rich; Marian J Rewers
Journal:  J Clin Endocrinol Metab       Date:  2022-07-14       Impact factor: 6.134

2.  Physical activity attenuates postprandial hyperglycaemia in homozygous TBC1D4 loss-of-function mutation carriers.

Authors:  Theresia M Schnurr; Emil Jørsboe; Alexandra Chadt; Inger K Dahl-Petersen; Jonas M Kristensen; Jørgen F P Wojtaszewski; Christian Springer; Peter Bjerregaard; Søren Brage; Oluf Pedersen; Ida Moltke; Niels Grarup; Hadi Al-Hasani; Anders Albrechtsen; Marit E Jørgensen; Torben Hansen
Journal:  Diabetologia       Date:  2021-04-29       Impact factor: 10.122

Review 3.  Metabolomics: The Stethoscope for the Twenty-First Century.

Authors:  Hutan Ashrafian; Viknesh Sounderajah; Robert Glen; Timothy Ebbels; Benjamin J Blaise; Dipak Kalra; Kim Kultima; Ola Spjuth; Leonardo Tenori; Reza M Salek; Namrata Kale; Kenneth Haug; Daniel Schober; Philippe Rocca-Serra; Claire O'Donovan; Christoph Steinbeck; Isaac Cano; Pedro de Atauri; Marta Cascante
Journal:  Med Princ Pract       Date:  2020-12-03       Impact factor: 2.132

Review 4.  Advances in Research on Diabetes by Human Nutriomics.

Authors:  Xinmin Ren; Xiangdong Li
Journal:  Int J Mol Sci       Date:  2019-10-29       Impact factor: 5.923

Review 5.  Precision Health Care Elements, Definitions, and Strategies for Patients with Diabetes: A Literature Review.

Authors:  Satriya Pranata; Shu-Fang Vivienne Wu; Javad Alizargar; Ju-Han Liu; Shu-Yuan Liang; Yu-Ying Lu
Journal:  Int J Environ Res Public Health       Date:  2021-06-17       Impact factor: 3.390

6.  Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers.

Authors:  Bobbie-Jo M Webb-Robertson; Lisa M Bramer; Bryan A Stanfill; Sarah M Reehl; Ernesto S Nakayasu; Thomas O Metz; Brigitte I Frohnert; Jill M Norris; Randi K Johnson; Stephen S Rich; Marian J Rewers
Journal:  J Diabetes       Date:  2020-08-16       Impact factor: 4.006

  6 in total

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