Literature DB >> 31753960

Introducing the Endotype Concept to Address the Challenge of Disease Heterogeneity in Type 1 Diabetes.

Manuela Battaglia1, Simi Ahmed2, Mark S Anderson3, Mark A Atkinson4, Dorothy Becker5, Polly J Bingley6, Emanuele Bosi7,8, Todd M Brusko4, Linda A DiMeglio9, Carmella Evans-Molina10, Stephen E Gitelman11, Carla J Greenbaum12, Peter A Gottlieb13, Kevan C Herold14, Martin J Hessner15, Mikael Knip16, Laura Jacobsen17, Jeffrey P Krischer18, S Alice Long12, Markus Lundgren19, Eoin F McKinney20, Noel G Morgan21,22, Richard A Oram23,24,25, Tomi Pastinen26, Michael C Peters27, Alessandra Petrelli7, Xiaoning Qian28, Maria J Redondo29, Bart O Roep30,31, Desmond Schatz17, David Skibinski12, Mark Peakman32,33.   

Abstract

The clinical diagnosis of new-onset type 1 diabetes has, for many years, been considered relatively straightforward. Recently, however, there is increasing awareness that within this single clinical phenotype exists considerable heterogeneity: disease onset spans the complete age range; genetic susceptibility is complex; rates of progression differ markedly, as does insulin secretory capacity; and complication rates, glycemic control, and therapeutic intervention efficacy vary widely. Mechanistic and immunopathological studies typically show considerable patchiness across subjects, undermining conclusions regarding disease pathways. Without better understanding, type 1 diabetes heterogeneity represents a major barrier both to deciphering pathogenesis and to the translational effort of designing, conducting, and interpreting clinical trials of disease-modifying agents. This realization comes during a period of unprecedented change in clinical medicine, with increasing emphasis on greater individualization and precision. For complex disorders such as type 1 diabetes, the option of maintaining the "single disease" approach appears untenable, as does the notion of individualizing each single patient's care, obliging us to conceptualize type 1 diabetes less in terms of phenotypes (observable characteristics) and more in terms of disease endotypes (underlying biological mechanisms). Here, we provide our view on an approach to dissect heterogeneity in type 1 diabetes. Using lessons from other diseases and the data gathered to date, we aim to delineate a roadmap through which the field can incorporate the endotype concept into laboratory and clinical practice. We predict that such an effort will accelerate the implementation of precision medicine and has the potential for impact on our approach to translational research, trial design, and clinical management.
© 2019 by the American Diabetes Association.

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Year:  2019        PMID: 31753960      PMCID: PMC6925574          DOI: 10.2337/dc19-0880

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  62 in total

Review 1.  Precision medicine and phenotypes, endotypes, genotypes, regiotypes, and theratypes of allergic diseases.

Authors:  Ioana Agache; Cezmi A Akdis
Journal:  J Clin Invest       Date:  2019-03-11       Impact factor: 14.808

Review 2.  The challenge of modulating β-cell autoimmunity in type 1 diabetes.

Authors:  Mark A Atkinson; Bart O Roep; Amanda Posgai; Daniel C S Wheeler; Mark Peakman
Journal:  Lancet Diabetes Endocrinol       Date:  2018-10-24       Impact factor: 32.069

Review 3.  The Effect of Age on the Progression and Severity of Type 1 Diabetes: Potential Effects on Disease Mechanisms.

Authors:  Pia Leete; Roberto Mallone; Sarah J Richardson; Jay M Sosenko; Maria J Redondo; Carmella Evans-Molina
Journal:  Curr Diab Rep       Date:  2018-09-26       Impact factor: 4.810

4.  HLA-DRB1*15:01-DQA1*01:02-DQB1*06:02 Haplotype Protects Autoantibody-Positive Relatives From Type 1 Diabetes Throughout the Stages of Disease Progression.

Authors:  Alberto Pugliese; David Boulware; Liping Yu; Sunanda Babu; Andrea K Steck; Dorothy Becker; Henry Rodriguez; Linda DiMeglio; Carmella Evans-Molina; Leonard C Harrison; Desmond Schatz; Jerry P Palmer; Carla Greenbaum; George S Eisenbarth; Jay M Sosenko
Journal:  Diabetes       Date:  2016-01-28       Impact factor: 9.461

5.  The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells.

Authors:  Richard A Oram; Angus G Jones; Rachel E J Besser; Bridget A Knight; Beverley M Shields; Richard J Brown; Andrew T Hattersley; Timothy J McDonald
Journal:  Diabetologia       Date:  2014-01       Impact factor: 10.122

6.  Immunological Balance Is Associated with Clinical Outcome after Autologous Hematopoietic Stem Cell Transplantation in Type 1 Diabetes.

Authors:  Kelen C R Malmegrim; Júlia T C de Azevedo; Lucas C M Arruda; Joana R F Abreu; Carlos E B Couri; Gislane L V de Oliveira; Patricia V B Palma; Gabriela T Scortegagna; Ana B P L Stracieri; Daniela A Moraes; Juliana B E Dias; Fabiano Pieroni; Renato Cunha; Luiza Guilherme; Nathália M Santos; Milton C Foss; Dimas T Covas; Richard K Burt; Belinda P Simões; Júlio C Voltarelli; Bart O Roep; Maria C Oliveira
Journal:  Front Immunol       Date:  2017-02-22       Impact factor: 7.561

Review 7.  Painting a new picture of personalised medicine for diabetes.

Authors:  Mark I McCarthy
Journal:  Diabetologia       Date:  2017-02-07       Impact factor: 10.122

8.  Follicular helper T cell signature in type 1 diabetes.

Authors:  Rupert Kenefeck; Chun Jing Wang; Tauseef Kapadi; Lukasz Wardzinski; Kesley Attridge; Louise E Clough; Frank Heuts; Alexandros Kogimtzis; Sapna Patel; Miranda Rosenthal; Masahiro Ono; David M Sansom; Parth Narendran; Lucy S K Walker
Journal:  J Clin Invest       Date:  2014-12-08       Impact factor: 14.808

9.  Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children.

Authors:  Ezio Bonifacio; Andreas Beyerlein; Markus Hippich; Christiane Winkler; Kendra Vehik; Michael N Weedon; Michael Laimighofer; Andrew T Hattersley; Jan Krumsiek; Brigitte I Frohnert; Andrea K Steck; William A Hagopian; Jeffrey P Krischer; Åke Lernmark; Marian J Rewers; Jin-Xiong She; Jorma Toppari; Beena Akolkar; Richard A Oram; Stephen S Rich; Anette-G Ziegler
Journal:  PLoS Med       Date:  2018-04-03       Impact factor: 11.613

10.  Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: results from the prospective TEDDY study.

Authors:  Andreas Beyerlein; Ezio Bonifacio; Kendra Vehik; Markus Hippich; Christiane Winkler; Brigitte I Frohnert; Andrea K Steck; William A Hagopian; Jeffrey P Krischer; Åke Lernmark; Marian J Rewers; Jin-Xiong She; Jorma Toppari; Beena Akolkar; Stephen S Rich; Anette-G Ziegler
Journal:  J Med Genet       Date:  2018-10-04       Impact factor: 5.941

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  80 in total

Review 1.  De-coding genetic risk variants in type 1 diabetes.

Authors:  Melanie R Shapiro; Puchong Thirawatananond; Leeana Peters; Robert C Sharp; Similoluwa Ogundare; Amanda L Posgai; Daniel J Perry; Todd M Brusko
Journal:  Immunol Cell Biol       Date:  2021-02-24       Impact factor: 5.126

Review 2.  100 Years of Insulin: Lifesaver, immune target, and potential remedy for prevention.

Authors:  Anette-Gabriele Ziegler; Thomas Danne; Carolin Daniel; Ezio Bonifacio
Journal:  Med (N Y)       Date:  2021-09-15

3.  Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  Wendy K Chung; Karel Erion; Jose C Florez; Andrew T Hattersley; Marie-France Hivert; Christine G Lee; Mark I McCarthy; John J Nolan; Jill M Norris; Ewan R Pearson; Louis Philipson; Allison T McElvaine; William T Cefalu; Stephen S Rich; Paul W Franks
Journal:  Diabetologia       Date:  2020-09       Impact factor: 10.122

Review 4.  100 years of insulin: celebrating the past, present and future of diabetes therapy.

Authors:  Emily K Sims; Alice L J Carr; Richard A Oram; Linda A DiMeglio; Carmella Evans-Molina
Journal:  Nat Med       Date:  2021-07-15       Impact factor: 53.440

Review 5.  Type 1 diabetes mellitus: much progress, many opportunities.

Authors:  Alvin C Powers
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

6.  TCR+/BCR+ dual-expressing cells and their associated public BCR clonotype are not enriched in type 1 diabetes.

Authors:  Alberto Sada Japp; Wenzhao Meng; Aaron M Rosenfeld; Daniel J Perry; Puchong Thirawatananond; Rhonda L Bacher; Chengyang Liu; Jay S Gardner; Mark A Atkinson; Klaus H Kaestner; Todd M Brusko; Ali Naji; Eline T Luning Prak; Michael R Betts
Journal:  Cell       Date:  2021-02-04       Impact factor: 41.582

7.  Exocrine Pancreatic Enzymes Are a Serological Biomarker for Type 1 Diabetes Staging and Pancreas Size.

Authors:  James J Ross; Clive H Wasserfall; Rhonda Bacher; Daniel J Perry; Kieran McGrail; Amanda L Posgai; Xiaoru Dong; Andrew Muir; Xia Li; Martha Campbell-Thompson; Todd M Brusko; Desmond A Schatz; Michael J Haller; Mark A Atkinson
Journal:  Diabetes       Date:  2021-01-13       Impact factor: 9.461

8.  Index60 as an additional diagnostic criterion for type 1 diabetes.

Authors:  Maria J Redondo; Brandon M Nathan; Laura M Jacobsen; Emily Sims; Laura E Bocchino; Alberto Pugliese; Desmond A Schatz; Mark A Atkinson; Jay Skyler; Jerry Palmer; Susan Geyer; Jay M Sosenko
Journal:  Diabetologia       Date:  2021-01-26       Impact factor: 10.122

Review 9.  Exocrine Pancreas Dysfunction in Type 1 Diabetes.

Authors:  Timothy P Foster; Brittany Bruggeman; Martha Campbell-Thompson; Mark A Atkinson; Michael J Haller; Desmond A Schatz
Journal:  Endocr Pract       Date:  2020-12       Impact factor: 3.443

Review 10.  Identifying the 'Achilles heel' of type 1 diabetes.

Authors:  M Battaglia; J H Buckner; M K Levings; S J Richardson; F S Wong; T I Tree
Journal:  Clin Exp Immunol       Date:  2021-02-22       Impact factor: 4.330

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