Anne E Bantle

Dr. Anne E Bantle


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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15 August 2008 in The Journal of Infectious Diseases
Verified
Journal Article
Open access
PDF file
JEJacob Estes
Jacob Estes
JBJason V. Baker
Jason V. Baker
JBJason M. Brenchley
Jason M. Brenchley
AKAlex Khoruts
Alex Khoruts
JBJacob L. Barthold
Jacob L. Barthold
TSTimothy W. Schacker
Timothy W. Schacker
Despite suppression of human immunodeficiency virus (HIV) replication by antiretroviral therapy, reconstitution of CD4+ cells is variable and incompl

1 February 2008 in Metabolism
Verified
Journal Article
Closed access
ABAnne E Bantle
Anne E Bantle
WTWilliam Thomas
William Thomas
JBJohn P. Bantle
John P. Bantle

16 May 2016 in Diabetologia
Verified
Journal Article
Open access
PDF file
Lisa S. ChowLisa S. Chow
Lisa S. Chow
AOAndrew O. Odegaard
Andrew O. Odegaard
TBTyler A. Bosch
Tyler A. Bosch
ABAnne E Bantle
Anne E Bantle
QWQi Wang
Qi Wang
PSPamela J. Schreiner
Pamela J. Schreiner
Aims/hypothesis The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Methods Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985–1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Results Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p < 0.01), which persisted (difference of 1 MET: HR 0.99872 [95% CI 0.99840, 0.99904], p < 0.01] when adjusting for covariates. Conclusions/interpretation Examining participants who had fitness measured from young adulthood to middle age, we found that fitness was associated with lower risk for developing prediabetes/diabetes, even when adjusting for BMI over this time period. These findings emphasise the importance of fitness in reducing the health burden of prediabetes and diabetes.

1 July 2019 in Advances in Nutrition
Verified
Journal Article
Closed access
SMSamar Malaeb
Samar Malaeb
CBCaitlin Bakker
Caitlin Bakker
Lisa S. ChowLisa S. Chow
Lisa S. Chow
ABAnne E Bantle
Anne E Bantle
Diet has the potential to be a powerful and cost-effective tool for treatment of type 2 diabetes mellitus (T2D). High-protein diets have shown promise for this purpose. The objective of this systematic review was to evaluate whether high-protein diets improve glycemic outcomes in people with T2D. We conducted a systematic search of literature published prior to 1 February 2018 to find clinical studies of high-protein diet patterns for treatment of T2D in human participants. A high-protein diet was defined as a diet with protein content greater than that of a typical diet in the United States (>16% of total energy as protein). Studies were excluded if weight loss >5% occurred or if no glycemic outcomes were measured. A total of 21 independent articles met our criteria and were included. Most tested diets had a protein content of around 30% of total energy. Many studies supported the use of high-protein diets for patients with T2D, but were limited by small size (n = 8-32) and short duration (1-24 wk). Randomized controlled trials tended to be larger (n = 12-419) and longer (6 wk-2 y), and had mixed results, with many trials showing no difference between a high-protein diet and control. Many randomized controlled trials were limited by low compliance and high dropout rates >15%. There were no consistent beneficial or detrimental effects of high-protein diets on renal or cardiovascular outcomes. Evidence was insufficient to recommend 1 type of protein (plant or animal) over the other. Our review suggests that interventions to improve compliance with diet change over the long term may be equally important as specific macronutrient recommendations for treatment of T2D.

1 March 2020 in Health & Place
Verified
Journal Article
Closed access
SMStephanie Mayne
Stephanie Mayne
LLLuigi Loizzo
Luigi Loizzo
MBMichael P. Bancks
Michael P. Bancks
MCMercedes R. Carnethon
Mercedes R. Carnethon
SBSharrelle Barber
Sharrelle Barber
KKKiarri N. Kershaw
Kiarri N. Kershaw

1 August 2015 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Closed access
ABAnne E Bantle
Anne E Bantle
QWQi Wang
Qi Wang
JBJohn P. Bantle
John P. Bantle
Postprandial hypoglycemia after gastric bypass surgery is a serious problem. Available treatments are often ineffective. The objective was to test the hypotheses that injection of rapid-acting insulin before a high-carbohydrate meal or replacement of other carbohydrates with fructose in the meal would prevent hypoglycemia. This was a randomized, crossover trial comparing a high-carbohydrate meal with premeal saline injection (control), a high-carbohydrate meal with premeal insulin injection, and a high-fructose meal with total carbohydrate content similar to the control meal. The setting was an academic medical center. Ten patients with post-gastric bypass hyperinsulinemic hypoglycemia participated. Interventions included lispro insulin injected before test meals and replacement of other carbohydrates with fructose in test meals. The main outcome measure was plasma glucose < 60 mg/dL after test meals. After the control meal, mean peak glucose and insulin were 173 ± 47 mg/dL and 134 ± 55 mU/L, respectively; mean glucose nadir was 44 ± 15 mg/dL; and eight of 10 subjects demonstrated glucose < 60 mg/dL. Five subjects demonstrated a glucose nadir < 40 mg/dL. There were no significant differences in the corresponding values after premeal insulin treatment, except that the mean glucose nadir of 34 ± 10 mg/dL was lower (P < .05). After the fructose meal, mean peak postprandial glucose and insulin were 117 ± 20 mg/dL and 45 ± 31 mU/L, respectively (both P < .001 for comparison with control), mean glucose nadir was 67 ± 10 mg/dL (P < .001), and two of 10 subjects demonstrated glucose < 60 mg/dL (P < .05). People with post-gastric bypass hypoglycemia can consume a meal sweetened with fructose with little risk of hypoglycemia. Treatment with rapid-acting insulin before a carbohydrate-containing meal did not prevent hypoglycemia.