Literature DB >> 22022939

Biomarkers in Type 2 diabetes: improving risk stratification with the PreDx ® Diabetes Risk Score.

Janice A Kolberg1, Robert W Gerwien, Steve M Watkins, Linda J Wuestehube, Mickey Urdea.   

Abstract

Type 2 diabetes is a chronic, debilitating and often deadly disease that has reached epidemic proportions. The onset of diabetes can be delayed or prevented in high-risk individuals by diet and lifestyle changes and medications, and hence a key element for addressing the diabetes epidemic is to identify those most at risk of developing diabetes so that preventative measures can be effectively focused. The PreDx(®) Diabetes Risk Score is a multimarker tool for assessing a patient's risk of developing diabetes within the next 5 years. Requiring a simple blood draw using standard sample collection and handling procedures, the PreDx Diabetes Risk Score is easily implemented in clinical practice and provides an assessment of diabetes risk that is superior to other measures, including fasting plasma glucose, glycated hemoglobin, measures of insulin resistance and other clinical measures. In this article, we provide an overview of the PreDx Diabetes Risk Score.

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Year:  2011        PMID: 22022939     DOI: 10.1586/erm.11.63

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  6 in total

Review 1.  New tools for weight-loss therapy enable a more robust medical model for obesity treatment: rationale for a complications-centric approach.

Authors:  W Timothy Garvey
Journal:  Endocr Pract       Date:  2013 Sep-Oct       Impact factor: 3.443

2.  Serum α-hydroxybutyrate (α-HB) predicts elevated 1 h glucose levels and early-phase β-cell dysfunction during OGTT.

Authors:  Stephen A Varvel; James V Pottala; Dawn L Thiselton; Rebecca Caffrey; Tara Dall; Maciek Sasinowski; Joseph P McConnell; G Russell Warnick; Szilard Voros; Timothy E Graham
Journal:  BMJ Open Diabetes Res Care       Date:  2014-09-24

3.  Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.

Authors:  Xindong Zhang; Lin Gao; Zhi-Ping Liu; Luonan Chen
Journal:  BMC Bioinformatics       Date:  2015-03-18       Impact factor: 3.169

4.  LC‑MS/MS proteomic analysis revealed novel associations of 37 proteins with T2DM and notable upregulation of immunoglobulins.

Authors:  Rabab Asghar Abdulwahab; Ayodele Alaiya; Zakia Shinwari; Abdul Ameer A Allaith; Hayder A Giha
Journal:  Int J Mol Med       Date:  2019-03-08       Impact factor: 4.101

5.  Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.

Authors:  Jiabin Li; Jieying Ding; D U Zhi; Kaiyun Gu; Hui Wang
Journal:  Biomed Res Int       Date:  2022-03-04       Impact factor: 3.411

6.  Comprehensive biomarker testing of glycemia, insulin resistance, and beta cell function has greater sensitivity to detect diabetes risk than fasting glucose and HbA1c and is associated with improved glycemic control in clinical practice.

Authors:  Stephen A Varvel; Szilard Voros; Dawn L Thiselton; James V Pottala; Tara Dall; G Russell Warnick; Joseph P McConnell; Leila Ghaedi; Maciek Sasinowski; Timothy Graham
Journal:  J Cardiovasc Transl Res       Date:  2014-07-29       Impact factor: 4.132

  6 in total

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