Kristina Utzschneider

Dr. Kristina Utzschneider


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2006 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
PDF file
KUKristina Utzschneider
Kristina Utzschneider
SKSteven E. Kahn
Steven E. Kahn
Context: Insulin resistance is an almost universal finding in nonalcoholic fatty liver disease (NAFLD). This review outlines the evidence linking insulin resistance and NAFLD, explores whether liver fat is a cause or consequence of insulin resistance, and reviews the current evidence for treatment of NAFLD. Evidence Acquisition: Evidence from epidemiological, experimental, and clinical research studies investigating NAFLD and insulin resistance was reviewed. Evidence Synthesis: Insulin resistance in NAFLD is characterized by reductions in whole-body, hepatic, and adipose tissue insulin sensitivity. The mechanisms underlying the accumulation of fat in the liver may include excess dietary fat, increased delivery of free fatty acids to the liver, inadequate fatty acid oxidation, and increased de novo lipogenesis. Insulin resistance may enhance hepatic fat accumulation by increasing free fatty acid delivery and by the effect of hyperinsulinemia to stimulate anabolic processes. The impact of weight loss, metformin, and thiazolidinediones, all treatments aimed at improving insulin sensitivity, as well as other agents such as vitamin E, have been evaluated in patients with NAFLD and have shown some benefit. However, most intervention studies have been small and uncontrolled. Conclusion: Insulin resistance is a major feature of NAFLD that, in some patients, can progress to steatohepatitis. Treatments aimed at reducing insulin resistance have had some success, but larger placebo-controlled studies are needed to fully establish the efficacy of these interventions and possibly others in reducing the deleterious effects of fat accumulation in the liver.

1 February 2009 in Diabetes Care
Verified
Journal Article
Open access
KUKristina Utzschneider
Kristina Utzschneider
RPRonald L. Prigeon
Ronald L. Prigeon
MFMirjam V. Faulenbach
Mirjam V. Faulenbach
JTJenny Tong
Jenny Tong
DCDarcy B. Carr
Darcy B. Carr
SKSteven E. Kahn
Steven E. Kahn
OBJECTIVE—We sought to determine whether an oral disposition index (DIO) predicts the development of diabetes over a 10-year period. First, we assessed the validity of the DIO by demonstrating that a hyperbolic relationship exists between oral indexes of insulin sensitivity and β-cell function. RESEARCH DESIGN AND METHODS—A total of 613 Japanese-American subjects (322 men and 291 women) underwent a 75-g oral glucose tolerance test (OGTT) at baseline, 5 years, and 10 years. Insulin sensitivity was estimated as 1/fasting insulin or homeostasis model assessment of insulin sensitivity (HOMA-S). Insulin response was estimated as the change in insulin divided by change in glucose from 0 to 30 min (ΔI0–30/ΔG0–30). RESULTS—ΔI0–30/ΔG0–30 demonstrated a curvilinear relationship with 1/fasting insulin and HOMA-S with a left and downward shift as glucose tolerance deteriorated. The confidence limits for the slope of the loge-transformed estimates included −1 for ΔI0–30/ΔG0–30 versus 1/fasting insulin for all glucose tolerance groups, consistent with a hyperbolic relationship. When HOMA-S was used as the insulin sensitivity measure, the confidence limits for the slope included −1 only for subjects with normal glucose tolerance (NGT) or impaired fasting glucose (IFG)/impaired glucose tolerance (IGT) but not diabetes. On the basis of this hyperbolic relationship, the product of ΔI0–30/ΔG0–30 and 1/fasting insulin was calculated (DIO) and decreased from NGT to IFG/IGT to diabetes (P < 0.001). Among nondiabetic subjects at baseline, baseline DIO predicted cumulative diabetes at 10 years (P < 0.001) independent of age, sex, BMI, family history of diabetes, and baseline fasting and 2-h glucose concentrations. CONCLUSIONS—The DIO provides a measure of β-cell function adjusted for insulin sensitivity and is predictive of development of diabetes over 10 years.

1 April 2016 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
PDF file
KUKristina Utzschneider
Kristina Utzschneider
MKMario Kratz
Mario Kratz
CDChris J. Damman
Chris J. Damman
MHMeredith Hullarg
Meredith Hullarg
Context: Type 2 diabetes mellitus is associated with gastrointestinal dysbiosis involving both compositional and functional changes in the gut microbiome. Changes in diet and supplementation with probiotics and prebiotics (ie, fermentable fibers) can induce favorable changes in gut bacterial species and improve glucose homeostasis.Objective: This paper will review the data supporting several potential mechanisms whereby gut dysbiosis contributes to metabolic dysfunction, including microbiota driven increases in systemic lipopolysaccharide concentrations, changes in bile acid metabolism, alterations in short chain fatty acid production, alterations in gut hormone secretion, and changes in circulating branched-chain amino acids.Methods: Data for this review were identified by searching English language references from PubMed and relevant articles.Conclusions: Understanding the mechanisms linking the gut microbiome to glucose metabolism, and the relevant compositional and functional characteristics of the gut microbiome, will help direct future research to develop more targeted approaches or novel compounds aimed at restoring a more healthy gut microbiome as a new approach to prevent and treat type 2 diabetes mellitus and related metabolic conditions.


6 September 2005 in Diabetologia
Verified
Journal Article
Closed access
PDF file
KUKristina Utzschneider
Kristina Utzschneider
DCD. B. Carr
D. B. Carr
JTJ. Tong
J. Tong
TWT. M. Wallace
T. M. Wallace
RHR. L. Hull
R. L. Hull
SKS. E. Kahn
S. E. Kahn

25 March 2013 in Journal of Gastroenterology and Hepatology
Verified
Journal Article
Closed access
PDF file
MSMark M Smits
Mark M Smits
GIGeorge N Ioannou
George N Ioannou
EBEdward J Boyko
Edward J Boyko
KUKristina Utzschneider
Kristina Utzschneider