Novel biomarkers for prediabetes, diabetes, and associated complications
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
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Novel biomarkers for prediabetes, diabetes,
and associated complications
This article was published in the following Dove Press journal:
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
14 August 2017
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Brenda Dorcely 1
Karin Katz 1
Ram Jagannathan 2
Stephanie S Chiang 1
Babajide Oluwadare 1
Ira J Goldberg 1
Michael Bergman 1
1
New York University School of
Medicine, Department of Medicine,
Division of Endocrinology, Diabetes
and Metabolism, NYU Langone
Medical Center, New York, NY,
2
Department of Global Health, Rollins
School of Public Health, Emory
University, Atlanta, GA, USA
Correspondence: Michael Bergman
New York University School of Medicine,
Division of Endocrinology, Diabetes
and Metabolism, NYU Langone Medical
Center, 550 1st Avenue, Suite 5E, New
York, NY 10016, USA
Tel +1 212 481 1350
Fax +1 212 481 1355
Email
Introduction
Prediabetes is defined as an intermediate state with plasma glucose levels ranging
between normoglycemia and diabetes. The Centers for Disease Control estimated
that in 2012 about 86 million, or one out of three, adults had prediabetes in the US.1
However, 90% of these individuals were unaware of their diagnosis. In 2015, the
International Diabetes Federation estimated that the worldwide prevalence of impaired
glucose tolerance (IGT) in adults was 318 million and expected to reach 482 million
by 2040.2 The annual progression rate to diabetes is 5–10%,3 with older individuals,
those with severe insulin resistance (IR), low insulin secretion, and other diabetes risk
factors even more likely to progress.4 How can we identify patients with prediabetes
and what can we do to prevent progression to diabetes?
Lifestyle and pharmacological interventions have been most effective in preventing
progression to diabetes and associated complications. Preservation of β-cell function
and reduction in IR and diabetes complications such as retinopathy, cardiovascular
disease (CVD), and all-cause mortality were observed subsequent to lifestyle modifica
tion.5,6 The Da Qing Diabetes Study in China,6 the Finnish Diabetes Prevention Study,7,8
and the U.S. Diabetes Prevention Program3,9 have shown that changes in dietary habits,
weight loss, and increased physical activity reduced the risk of progression to diabetes.
Bariatric surgery promotes weight loss and is beneficial in prediabetes.10
Identification of risk and diagnosis of prediabetes
Development of prediabetes involves multiple factors including genetics, peripheral
IR, defects in insulin secretion, glucotoxicity, lipotoxicity, impaired incretin release,
345
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http://dx.doi.org/10.2147/DMSO.S100074
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Abstract: The number of individuals with prediabetes is expected to grow substantially and esti
mated to globally affect 482 million people by 2040. Therefore, effective methods for diagnosing
prediabetes will be required to reduce the risk of progressing to diabetes and its complications.
The current biomarkers, glycated hemoglobin (HbA1c), fructosamine, and glycated albumin
have limitations including moderate sensitivity and specificity and are inaccurate in certain
clinical conditions. Therefore, identification of additional biomarkers is being explored recogni
zing that any single biomarker will also likely have inherent limitations. Therefore, combining
several biomarkers may more precisely identify those at high risk for developing prediabetes
and subsequent progression to diabetes. This review describes recently identified biomarkers
and their potential utility for addressing the burgeoning epidemic of dysglycemic disorders.
Keywords: prediabetes, biomarkers, inflammatory markers, diabetes, diabetes complications
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Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy downloaded from https://www.dovepress.com/ by 220.72.33.45 on 11-Jul-2020
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Dorcely et al
amylin accumulation, inflammation, oxidative stress, and
decreased β-cell mass leading to β-cell dysfunction.11–13
Prediabetes is classified as isolated impaired fasting glucose
(IFG) or IGT.14 Glucose and glycated hemoglobin (HbA1c)
criteria for diagnosing dysglycemic states are controversial as
there are differing thresholds recommended by the American
Diabetes Association (ADA) and the World Health Organiza
tion.15,16 We will review several additional biomarkers used
to predict the risk of progression to diabetes.
Diagnostic biomarkers and their
clinical utility
Hemoglobin A1c
HbA1c is the most commonly used biomarker to diagnose
prediabetes and diabetes. HbA1c forms when glucose
attaches to the amino-terminal group of the β subunit of
hemoglobin.17 HbA1c reflects chronic glycemia rather than
glucose levels at a single time point. Currently, the ADA
criteria for diabetes are HbA1c ≥6.5% (48 mmol/mol) and
5.7–6.4% (39–46 mmol/mol) for prediabetes.14 Increased
HbA1c levels are associated with increased morbidity and
mortality. In the Norfolk prospective study, higher HbA1c
levels were also associated with increased CVD, cancer, and
all-cause mortality.18 Long-term prospective studies, includ
ing the Diabetes Control and Complications Trial, the UK
Prospective Diabetes Study Group, and the Epidemiology of
Diabetes Interventions and Complications study have shown
that diabetic complications are directly related to the mean
HbA1c, with a level ≥6.5% (48 mmol/mol) associated with
retinopathy.19–21 Additionally, HbA1c was more strongly cor
related with retinopathy than fasting plasma glucose (FPG).
Thus, HbA1c may be a better predictor of microvascular
complications than FPG.22
HbA1c has several advantages versus FPG and oral glu
cose tolerance test (OGTT) including greater convenience
as fasting is not required, greater pre-analytical stability, and
less day-to-day perturbation during periods of stress and ill
ness.23 Since HbA1c r (...truncated)