Literature DB >> 21303644

Diabetes and biomarkers.

Erica J Caveney1, Oren J Cohen.   

Abstract

Biomarkers play an integral part in conducting clinical trials and treating patients. In most instances, they help medical practitioners, researchers, and regulatory officials make well-informed, scientifically sound decisions. However, in clinical studies, there is often uncertainty in how much weight to place on biomarker results versus clinical outcomes. This uncertainty emanates from opposing goals of the drug approval process. On one hand, the process must ensure that all therapeutics tested are safe and that the benefits outweigh the risks. On the other hand, the process should allow therapies to be accessible to patients as quickly as reasonably possible. Judicious use of biomarkers in the drug development process can bring these goals into alignment. More efficient discovery and use of biomarkers in the development of antidiabetes drugs will depend on advancing our understanding of the pathogenesis of diabetes and especially its macrovascular complications.
© 2010 Diabetes Technology Society.

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Year:  2011        PMID: 21303644      PMCID: PMC3045220          DOI: 10.1177/193229681100500127

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  27 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

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Review 3.  Surrogate end points in clinical trials: are we being misled?

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Journal:  Ann Intern Med       Date:  1996-10-01       Impact factor: 25.391

4.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

5.  Effect of long-term monitoring of glycosylated hemoglobin levels in insulin-dependent diabetes mellitus.

Authors:  M L Larsen; M Hørder; E F Mogensen
Journal:  N Engl J Med       Date:  1990-10-11       Impact factor: 91.245

6.  Preliminary report: effect of encainide and flecainide on mortality in a randomized trial of arrhythmia suppression after myocardial infarction.

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Journal:  N Engl J Med       Date:  1989-08-10       Impact factor: 91.245

7.  Postprandial blood glucose is a stronger predictor of cardiovascular events than fasting blood glucose in type 2 diabetes mellitus, particularly in women: lessons from the San Luigi Gonzaga Diabetes Study.

Authors:  F Cavalot; A Petrelli; M Traversa; K Bonomo; E Fiora; M Conti; G Anfossi; G Costa; M Trovati
Journal:  J Clin Endocrinol Metab       Date:  2005-12-13       Impact factor: 5.958

Review 8.  Skeletal muscle triglyceride. An aspect of regional adiposity and insulin resistance.

Authors:  D E Kelley; B H Goodpaster
Journal:  Diabetes Care       Date:  2001-05       Impact factor: 19.112

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Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

10.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

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  11 in total

Review 1.  A Comprehensive Review of Novel Drug-Disease Models in Diabetes Drug Development.

Authors:  Puneet Gaitonde; Parag Garhyan; Catharina Link; Jenny Y Chien; Mirjam N Trame; Stephan Schmidt
Journal:  Clin Pharmacokinet       Date:  2016-07       Impact factor: 6.447

Review 2.  Utility of different glycemic control metrics for optimizing management of diabetes.

Authors:  Klaus-Dieter Kohnert; Peter Heinke; Lutz Vogt; Eckhard Salzsieder
Journal:  World J Diabetes       Date:  2015-02-15

3.  Using a surrogate marker for early testing of a treatment effect.

Authors:  Layla Parast; Tianxi Cai; Lu Tian
Journal:  Biometrics       Date:  2019-04-22       Impact factor: 2.571

4.  Estimation of the proportion of treatment effect explained by a high-dimensional surrogate.

Authors:  Ruixuan Rachel Zhou; Sihai Dave Zhao; Layla Parast
Journal:  Stat Med       Date:  2022-02-21       Impact factor: 2.497

5.  The relationship of serum endocan levels and anti-TNF-alpha therapy in patients with ankylosing spondylitis.

Authors:  Fatma Zehra Kadayıfçı; Makbule Gezmen Karadağ
Journal:  Eur J Rheumatol       Date:  2018-03

Review 6.  Machine Learning and Data Mining Methods in Diabetes Research.

Authors:  Ioannis Kavakiotis; Olga Tsave; Athanasios Salifoglou; Nicos Maglaveras; Ioannis Vlahavas; Ioanna Chouvarda
Journal:  Comput Struct Biotechnol J       Date:  2017-01-08       Impact factor: 7.271

7.  Association of intercellular adhesion molecule 1 (ICAM1) with diabetes and diabetic nephropathy.

Authors:  Harvest F Gu; Jun Ma; Karolin T Gu; Kerstin Brismar
Journal:  Front Endocrinol (Lausanne)       Date:  2013-01-22       Impact factor: 5.555

Review 8.  Cardiovascular outcome trials for anti-diabetes medication: A holy grail of drug development?

Authors:  Mathew John; Ambika Gopalakrishnan Unnikrishnan; Sanjay Kalra; Tiny Nair
Journal:  Indian Heart J       Date:  2016-04-11

9.  Exploratory Metabolomics Profiling in the Kainic Acid Rat Model Reveals Depletion of 25-Hydroxyvitamin D3 during Epileptogenesis.

Authors:  Svenja Heischmann; Kevin Quinn; Charmion Cruickshank-Quinn; Li-Ping Liang; Rick Reisdorph; Nichole Reisdorph; Manisha Patel
Journal:  Sci Rep       Date:  2016-08-16       Impact factor: 4.379

10.  Receiver Operating Characteristic Analysis and Clinical Trial Simulation to Inform Dose Titration Decisions.

Authors:  John David Clements; Juan Jose Perez Ruixo; John P Gibbs; Sameer Doshi; Carlos Perez Ruixo; Murad Melhem
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-10-15
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