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Dive into the research topics where Jonathan Krakoff is active.

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Featured researches published by Jonathan Krakoff.


The Lancet | 2002

Adiponectin and development of type 2 diabetes in the Pima Indian population

Robert S. Lindsay; Tohru Funahashi; Robert L. Hanson; Yuji Matsuzawa; Sachiyo Tanaka; P. Antonio Tataranni; William C. Knowler; Jonathan Krakoff

Adiponectin is a collagen-like circulating protein secreted by adipocytes that is proposed to mediate obesity-related resistance to insulin. In a case-control series, we assessed the role of adiponectin in later development of type 2 diabetes in 70 patients who later developed type 2 diabetes and 70 controls, matched for body-mass index, age, and sex. Cases and controls were taken from the longitudinal study of health in the Pima Indian population. At baseline, the concentration of adiponectin was lower in cases than in controls (p=0.01) and individuals with high concentrations of this protein were less likely to develop type 2 diabetes than those with low concentrations (incidence rate ratio 0.63 [95% CI 0.43-0.92]; p=0.02).


The American Journal of Clinical Nutrition | 2011

Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans

Reiner Jumpertz; Duc Son N.T. Le; Peter J. Turnbaugh; Cathy Trinidad; Clifton Bogardus; Jeffrey I. Gordon; Jonathan Krakoff

BACKGROUND Studies in mice indicate that the gut microbiome influences both sides of the energy-balance equation by contributing to nutrient absorption and regulating host genes that affect adiposity. However, it remains uncertain as to what extent gut microbiota are an important regulator of nutrient absorption in humans. OBJECTIVE With the use of a carefully monitored inpatient study cohort, we tested how gut bacterial community structure is affected by altering the nutrient load in lean and obese individuals and whether their microbiota are correlated with the efficiency of dietary energy harvest. DESIGN We investigated dynamic changes of gut microbiota during diets that varied in caloric content (2400 compared with 3400 kcal/d) by pyrosequencing bacterial 16S ribosomal RNA (rRNA) genes present in the feces of 12 lean and 9 obese individuals and by measuring ingested and stool calories with the use of bomb calorimetry. RESULTS The alteration of the nutrient load induced rapid changes in the gut microbiota. These changes were directly correlated with stool energy loss in lean individuals such that a 20% increase in Firmicutes and a corresponding decrease in Bacteroidetes were associated with an increased energy harvest of ≈150 kcal. A high degree of overfeeding in lean individuals was accompanied by a greater fractional decrease in stool energy loss. CONCLUSIONS These results show that the nutrient load is a key variable that can influence the gut (fecal) bacterial community structure over short time scales. Furthermore, the observed associations between gut microbes and nutrient absorption indicate a possible role of the human gut microbiota in the regulation of the nutrient harvest. This trial was registered at clinicaltrials.gov as NCT00414063.


Obesity | 2011

Four-year weight losses in the Look AHEAD study: factors associated with long-term success.

Thomas A. Wadden; Rebecca H. Neiberg; Rena R. Wing; Jeanne M. Clark; Linda M. Delahanty; James O. Hill; Jonathan Krakoff; Amy D. Otto; Donna H. Ryan; Mara Z. Vitolins

This report provides a further analysis of the year 4 weight losses in the Look AHEAD (Action for Health in Diabetes) study and identifies factors associated with long‐term success. A total of 5,145 overweight/obese men and women with type 2 diabetes were randomly assigned to an intensive lifestyle intervention (ILI) or a usual care group, referred to as Diabetes Support and Education (DSE). ILI participants were provided approximately weekly group or individual treatment in year 1; continued but less frequent contact was provided in years 2–4. DSE participants received three group educational sessions in all years. As reported previously, at year 4, ILI participants lost an average of 4.7% of initial weight, compared with 1.1% for DSE (P < 0.0001). More ILI than DSE participants lost ≥5% (46% vs. 25%, P < 0.0001) and ≥10% (23% vs. 10%, P < 0.0001) of initial weight. Within the ILI, achievement of both the 5% and 10% categorical weight losses at year 4 was strongly related to meeting these goals at year 1. A total of 887 participants in ILI lost ≥10% at year 1, of whom 374 (42.2%) achieved this loss at year 4. Participants who maintained the loss, compared with those who did not, attended more treatment sessions and reported more favorable physical activity and food intake at year 4. These results provide critical evidence that a comprehensive lifestyle intervention can induce clinically significant weight loss (i.e., ≥5%) in overweight/obese participants with type 2 diabetes and maintain this loss in more than 45% of patients at 4 years.


Diabetes | 2007

Childhood Predictors of Young-Onset Type 2 Diabetes

Paul W. Franks; Robert L. Hanson; William C. Knowler; Carol Moffett; Gleebah Enos; Aniello M. Infante; Jonathan Krakoff; Helen C. Looker

OBJECTIVE—Optimal prevention of young-onset type 2 diabetes requires identification of the early-life modifiable risk factors. We aimed to do this using longitudinal data in 1,604 5- to 19-year-old initially nondiabetic American Indians. RESEARCH DESIGN AND METHODS—For type 2 diabetes prediction, we derived an optimally weighted, continuously distributed, standardized multivariate score (zMS) comprising commonly measured metabolic, anthropometric, and vascular traits (i.e., fasting and 2-h glucose, A1C, BMI, waist circumference, fasting insulin, HDL cholesterol, triglycerides, and blood pressures) and compared the predictive power for each feature against zMS. RESULTS—In separate Cox proportional hazard models, adjusted for age, sex, and ethnicity, zMS and each of its component risk factors were associated with incident type 2 diabetes. Stepwise proportional hazards models selected fasting glucose, 2-h glucose, HDL cholesterol, and BMI as independent diabetes predictors; individually, these were weaker predictors than zMS (P < 0.01). However, a parsimonious summary score combining only these variables had predictive power similar to that of zMS (P = 0.33). Although intrauterine diabetes exposure or parental history of young-onset diabetes increased a child’s absolute risk of developing diabetes, the magnitude of the diabetes-risk relationships for zMS and the parsimonious score were similar irrespective of familial risk factors. CONCLUSIONS—We have determined the relative value of the features of the metabolic syndrome in childhood for the prediction of subsequent type 2 diabetes. Our findings suggest that strategies targeting obesity, dysregulated glucose homeostasis, and low HDL cholesterol during childhood and adolescence may have the most success in preventing diabetes.


Diabetes | 2011

Effects of Metformin on Body Weight and Body Composition in Obese Insulin-Resistant Children A Randomized Clinical Trial

Jack A. Yanovski; Jonathan Krakoff; Christine G. Salaita; Jennifer R McDuffie; Merel Kozlosky; Nancy G. Sebring; James C. Reynolds; Sheila M. Brady; Karim A. Calis

OBJECTIVE Metformin can decrease adiposity and ameliorate obesity-related comorbid conditions, including abnormalities in glucose homeostasis in adolescents, but there are few data evaluating the efficacy of metformin among younger children. Our objective was to determine whether metformin treatment causes weight loss and improves obesity-related comorbidities in obese children, who are insulin-resistant. RESEARCH DESIGN AND METHODS This study was a randomized double-blind placebo-controlled trial consisting of 100 severely obese (mean BMI 34.6 ± 6.6 kg/m2) insulin-resistant children aged 6–12 years, randomized to 1,000 mg metformin (n = 53) or placebo (n = 47) twice daily for 6 months, followed by open-label metformin treatment for 6 months. All children and their parents participated in a monthly dietitian-administered weight-reduction program. RESULTS Eighty-five percent completed the 6-month randomized phase. Children prescribed metformin had significantly greater decreases in BMI (difference −1.09 kg/m2, CI −1.87 to −0.31, P = 0.006), body weight (difference −3.38 kg, CI −5.2 to −1.57, P < 0.001), BMI Z score (difference between metformin and placebo groups −0.07, CI −0.12 to −0.01, P = 0.02), and fat mass (difference −1.40 kg, CI −2.74 to −0.06, P = 0.04). Fasting plasma glucose (P = 0.007) and homeostasis model assessment (HOMA) insulin resistance index (P = 0.006) also improved more in metformin-treated children than in placebo-treated children. Gastrointestinal symptoms were significantly more prevalent in metformin-treated children, which limited maximal tolerated dosage in 17%. During the 6-month open-label phase, children treated previously with placebo decreased their BMI Z score; those treated continuously with metformin did not significantly change BMI Z score further. CONCLUSIONS Metformin had modest but favorable effects on body weight, body composition, and glucose homeostasis in obese insulin-resistant children participating in a low-intensity weight-reduction program.


NeuroImage | 2007

Postprandial glucagon-like peptide-1 (GLP-1) response is positively associated with changes in neuronal activity of brain areas implicated in satiety and food intake regulation in humans.

Nicola Pannacciulli; Duc Son N.T. Le; Arline D. Salbe; Kewei Chen; Eric M. Reiman; Pa Tataranni; Jonathan Krakoff

Postprandial glucagon-like peptide-1 (GLP-1) secretion can act as a meal termination signal in animals and humans. We tested the hypothesis that the postprandial changes in plasma GLP-1 concentrations are associated with changes in the human brain activity in response to satiety by performing a post-hoc analysis of a cross-sectional study of neuroanatomical correlates of hunger and satiation using (15)O-water positron-emission tomography (PET). Forty-two subjects (22M/20F, age 31+/-8 years) spanning a wide range of adiposity (body fat: 7-44%) were included in this analysis. Outcome measures included changes in PET-measured regional cerebral blood flow (rCBF) and plasma concentrations of GLP-1, glucose, insulin, and free-fatty acids (FFA), elicited by the administration of a satiating amount of a liquid formula meal. The peak postprandial increases in plasma GLP-1 concentrations were correlated with increases in rCBF in the left dorsolateral prefrontal cortex (including the left middle and inferior frontal gyri), previously implicated in PET studies of human satiation, and the hypothalamus, previously implicated in the regulation of food intake in animal and human studies, both before and after adjustment for sex, age, body fat, and changes in plasma glucose, insulin, and serum FFA concentrations. The postprandial GLP-1 response is associated with activation of areas of the human brain previously implicated in satiation and food intake regulation.


Diabetes | 2009

Macrophage content in subcutaneous adipose tissue: associations with adiposity, age, inflammatory markers, and whole-body insulin action in healthy Pima Indians.

Emilio Ortega Martinez de Victoria; Xiaoyuan Xu; Juraj Koska; Ann Marie Francisco; Michael Scalise; Anthony W. Ferrante; Jonathan Krakoff

OBJECTIVE— In severely obese individuals and patients with diabetes, accumulation and activation of macrophages in adipose tissue has been implicated in the development of obesity-associated complications, including insulin resistance. We sought to determine whether in a healthy population, adiposity, sex, age, or insulin action is associated with adipose tissue macrophage content (ATMc) and/or markers of macrophage activation. RESEARCH DESIGN AND METHODS— Subcutaneous ATMc from young adult Pima Indians with a wide range of adiposity (13–46% body fat, by whole-body dual-energy X-ray absorptiometry) and insulin action (glucose disposal rate 1.6–9 mg/kg estimated metabolic body size/min, by glucose clamp) were measured. We also measured expression in adipose tissue of factors implicated in macrophage recruitment and activation to determine any association with ATMc and insulin action. RESULTS— ATMc, as assessed by immunohistochemistry (Mphi) and by macrophage-specific gene expression (CD68, CD11b, and CSF1R), were correlated with percent body fat, age, and female sex. Gene expression of CD68, CD11b, and CSF1R but not Mphi was correlated negatively with glucose disposal rate but not after adjustment for percent body fat, age, and sex. However, adipose tissue expression of plasminogen activator inhibitor type-1 (PAI-1) and CD11 antigen-like family member C (CD11c), markers produced by macrophages, were negatively correlated with adjusted glucose disposal rate (r = −0.28, P = 0.05 and r = −0.31, P = 0.03). CONCLUSIONS— ATMc is correlated with age and adiposity but not with insulin action independent of adiposity in healthy human subjects. However, PAI-1 and CD11c expression are independent predictors of insulin action, indicating a possible role for adipose tissue macrophage activation.


Neuroscience Letters | 2007

Relationships between plasma leptin concentrations and human brain structure: a voxel-based morphometric study

Nicola Pannacciulli; Duc Son N.T. Le; Kewei Chen; Eric M. Reiman; Jonathan Krakoff

We have previously demonstrated that obese people have reduced grey matter (GM) in several brain areas, including regions implicated in the regulation of taste (i.e., inferior frontal operculum and postcentral gyrus), reward (i.e., putamen), and behavioural processing (i.e., middle frontal gyrus), compared with their lean counterparts. It is well established that the brain may serve as a direct target for adiposity signals, one of the most important being leptin. We investigated the relationships between fasting plasma leptin concentrations and brain tissue composition in a group of 32 young adult Caucasians (12M/20F, age 32+/-1 years, body fat 29+/-1%, mean+/-S.E.) with normal glucose tolerance by using voxel-based morphometry of magnetic resonance imaging scans. Fasting plasma leptin concentrations were positively correlated with GM volumes of the left cerebellum and left inferior temporal gyrus and negatively associated with GM volumes of the left inferior frontal operculum, left postcentral gyrus, and right putamen (P<0.001, uncorrected for multiple comparisons) after adjustment for sex, percent body fat, age, fasting plasma insulin concentrations (i.e., the major determinants of plasma leptin), and global GM volume (thus allowing for an assessment of regional effects only). This study showed an independent, negative correlation between fasting plasma leptin concentrations, which are increased in obesity, and the volumes of GM in brain areas where obese people have reduced GM compared to their lean counterparts. These relationships may explain some of the abnormalities in brain morphology recently found to be associated with excess body fatness.


Diabetes | 2008

Lower Metabolic Rate in Individuals Heterozygous for Either a Frameshift or a Functional Missense MC4R Variant

Jonathan Krakoff; Lijun Ma; Sayuko Kobes; William C. Knowler; Robert L. Hanson; Clifton Bogardus; Leslie J. Baier

OBJECTIVE—Humans with functional variants in the melanocortin 4 receptor (MC4R) are obese, hyperphagic, and hyperinsulinemic but have been reported to have no difference in energy expenditure. RESEARCH DESIGN AND METHODS—We investigated the association of two MC4R variants, Arg165Gln (R165Q) and A insertion at nucleotide 100 (NT100), with adiposity in 3,074 full-heritage Pima Indians, a subset of whom had metabolic measures including 24-h energy expenditure (n = 252) and resting metabolic rate (RMR) (n = 364). RESULTS—Among the 3,074 subjects, 43 were heterozygous for R165Q and 14 for NT100 (frequency = 0.007 and 0.002). Mean (± SD) BMI was higher among subjects with R165Q (39.3 ± 8.6 kg/m2) or NT100 (41.2 ± 7.8) than subjects without either variant (37.1 ± 8.4) (P = 0.04 and 0.02, adjusted for age, sex, and birth year and accounting for family membership). The 24-h energy expenditure (four with NT100; three with R165Q) or RMR (six with NT100; two with R165Q) was lower in heterozygous subjects but only met statistical significance when heterozygous subjects were combined and compared with subjects without either variant: least-squares means, 2,163 kcal/24 h (95% CI 2,035–2,291) vs. 2,307 kcal/24 h (2,285–2,328), P = 0.03 for 24-h energy expenditure, and 1,617 kcal/24 h (1,499–1,734) vs. 1,754 kcal/24 h (1,736–1,772), P = 0.02 for RMR; adjusted for age, sex, fat-free mass, and fat mass). For RMR, this difference persisted, even after accounting for family membership. CONCLUSIONS—Pima Indians heterozygous for R165Q or NT100 in MC4R have higher BMIs and lower energy expenditure (by ∼140 kcal/day), indicating that lower energy expenditure was a component of the increased adiposity.


Diabetes-metabolism Research and Reviews | 2007

Acute insulin response is an independent predictor of type 2 diabetes mellitus in individuals with both normal fasting and 2-h plasma glucose concentrations.

Joy C. Bunt; Jonathan Krakoff; Emilio Ortega; William C. Knowler; Clifton Bogardus

Earlier prospective studies have identified insulin action and secretion as predictors of T2DM in populations with normal glucose tolerance (NGT) and impaired glucose tolerance (IGT) (2‐h OGTT < 7.8 and 7.8–11 mmol/L, respectively). Fasting plasma glucose (FPG), an additional and recently modified (normal <5.6 mmol/L) diagnostic criterion is associated with insulin secretion. We wanted to establish whether insulin secretion persists as an independent predictor of T2DM in individuals with no clinical evidence of impaired glucose regulation based on FPG and 2‐h plasma glucose concentrations.

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Paolo Piaggi

National Institutes of Health

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William C. Knowler

Case Western Reserve University

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Robert L. Hanson

National Institutes of Health

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Susanne B. Votruba

National Institutes of Health

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Clifton Bogardus

National Institutes of Health

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Marie S. Thearle

National Institutes of Health

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Joy C. Bunt

National Institutes of Health

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Colleen A. Venti

National Institutes of Health

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Nicola Pannacciulli

National Institutes of Health

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Marci E. Gluck

National Institutes of Health

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