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  • 1
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: IR has been linked to kidney injury in T1D. Animal models show that IR associates with impaired TCA cycle turnover and oxidative phosphorylation, collectively termed oxidative metabolism, but little is known about this relationship in humans with T1D. Thirty young adults with T1D (age: 23±3 years, diabetes duration: 13±5 years, 53% female, HbA1c: 7.9±1.1%, BMI: 25±3 kg/m2, UACR: 5 [3, 8] mg/g) and 20 healthy controls (HC) (age: 25±3, 50% female, HbA1c: 5.2±0.3%, BMI: 23±2 kg/m2, UACR: 5 [3, 9] mg/g) underwent hyperinsulinemic-euglycemic clamps to assess whole-body insulin sensitivity (IS), and MRI to assess kidney perfusion. A subset underwent voxel-wise and region-of-interest (ROI) pharmacokinetic (PK) 11C-acetate PET analyses (n=16 T1D; n=10 HC) to quantify kidney cortical oxidative metabolism (k 2), and research kidney biopsies with single-cell RNA sequencing (n=28 T1D; n=13 HC). Compared to HC, participants with T1D exhibited lower IS (7.8±2.6 vs. 14.3±4.0 mg/kg/min, p & lt;0.0001), cortical perfusion (196±68 vs. 243±46 ml/min/100g, p=0.01) and lower cortical k 2 (0.16±0.02 vs. HC 0.18±0.02 min-1, p=0.04) in voxel-wise models, although significance was not reached in the ROI PK analyses. IS associated with cortical k 2 (r:0.43, p=0.03) and the associations remained significant after adjusting for age, sex, and HbA1c (p=0.04). No significant interaction observed between T1D and HC for IS and cortical k2 (p=0.78). Proximal tubular transcripts of the enzymes catalyzing the proximal steps of the TCA cycle (e.g., ACO1, IDH1, SUCLG1) were lower in T1D vs. HC (all FDR-adjusted p & lt;0.0001). Kidney oxidative metabolism is impaired in young people with T1D and is linked to lower whole-body IS. Statistical differences in k 2 from ROI and voxel-wise analyses suggest regional variations in kidney oxidative metabolism that may not be apparent in global analysis. Spatial metabolomic analyses of kidney tissue in a subset of these participants are shown in abstract #2023-A-3407-Diabetes. Disclosure G.Richard: None. S.Gross: None. V.N.Shah: Advisory Panel; LifeScan Diabetes Institute, Medscape, Consultant; DKSH, Research Support; Novo Nordisk, Tandem Diabetes Care, Inc., Dexcom, Inc., Insulet Corporation, JDRF, National Institutes of Health, Speaker's Bureau; Dexcom, Inc., Insulet Corporation. L.Pyle: None. T.B.Vigers: None. J.K.Snell-bergeon: None. I.De boer: Advisory Panel; AstraZeneca, Boehringer Ingelheim and Eli Lilly Alliance, Boehringer Ingelheim International GmbH, Otsuka America Pharmaceutical, Inc., Bayer Inc., Consultant; George Clinical, Gilead Sciences, Inc., Medscape, Research Support; Dexcom, Inc. D.Van raalte: Consultant; Boehringer Ingelheim and Eli Lilly Alliance, AstraZeneca, Merck & Co., Inc., Research Support; Boehringer Ingelheim and Eli Lilly Alliance, AstraZeneca, Merck & Co., Inc. L.Li: None. P.V.Prasad: None. P.E.Ladd: None. C.Birznieks: None. B.B.Chin: None. D.Cherney: Other Relationship; Boehringer Ingelheim-Lilly, Merck, AstraZeneca, Sanofi, Mitsubishi-Tanabe, Abbvie, Janssen, Bayer, Prometic, BMS, Maze, Gilead, CSL-Behring, Otsuka, Novartis, Youngene, Lexicon and Novo-Nordisk, Research Support; Boehringer Ingelheim-Lilly, Merck, Janssen, Sanofi, AstraZeneca, CSL-Behring and Novo-Nordisk. P.J.Mccown: None. F.Alakwaa: None. M.Kretzler: Research Support; Lilly, Boehringer Ingelheim Inc., Traveere Pharmaceuticals, Novo Nordisk, certa, Chinook Therapeutics Inc., Janssen Research & Development, LLC, AstraZeneca, Moderna, Inc., Gilead Sciences, Inc., Regeneron, Ionis Pharmaceuticals, Angioin, Renalytix. K.Sharma: Advisory Panel; Reata Pharmaceuticals, Inc., Otsuka America Pharmaceutical, Inc. F.C.Brosius: Advisory Panel; Gilead Sciences, Inc. R.G.Nelson: None. K.J.Nadeau: None. P.Bjornstad: Advisory Panel; AstraZeneca, Novo Nordisk, Lilly, Horizon Therapeutics plc, Boehringer Ingelheim (Canada) Ltd., LG Chem, Consultant; Bayer Inc., Bristol-Myers Squibb Company. G.Zhang: None. L.Driscoll: None. K.L.Tommerdahl: None. J.A.Schaub: None. A.Naik: Advisory Panel; CareDx. V.Nair: None. A.A.Macdonald: None. Funding JDRF; National Institute of Diabetes and Digestive and Kidney Diseases
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
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  • 2
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: In abstract 2023-A-3497-Diabetes, we show impaired TCA cycle turnover using 11C acetate PET and lower proximal tubular transcripts of TCA cycle enzymes by single-cell RNA sequencing of kidney biopsies in young adults with T1D vs. healthy controls (HC). Spatial metabolomics analyses of the kidney tissue were conducted to further explore perturbations in kidney oxidative metabolism in T1D. Matrix-assisted laser desorption/ionization-mass spectrometry imaging-based spatial metabolomics was used to analyze metabolites in situ (spatial resolution: 20 μm) in kidney tissues from 8 participants with T1D and preserved kidney function and 5 HC. Univariate analysis (t-test or Wilcoxon Mann Whitney test) demonstrated that 36 of 456 METASPACE annotated metabolites were altered (P & lt;0.05) in T1D vs. HC. Partial least squares-discriminant analysis (PLS-DA) and heatmaps showed clearly separated clusters of metabolites. To identify the most significant discriminators for T1D, a variable importance in projection (VIP) plot from PLS-DA model was applied. Of the top 15 metabolites, two TCA cycle intermediates, succinic acid (m/z 117.0193, -H; P = 0.016) and malic acid (m/z 133.0142, -H; P = 0.026), were reduced in kidney tissues of participants with T1D. Pathway analysis revealed that the TCA cycle, mitochondrial electron transport chain, glutamate metabolism, malate-aspartate shuttle, and purine pathway were the dominant metabolic pathways perturbed in T1D kidney tissue. Spatial metabolomics comparing T1D kidney biopsies vs. HC reveal alterations of TCA cycle intermediates indicating mitochondrial dysfunction in the subclinical stages of diabetic kidney disease. The spatial metabolomics data are consistent with the data from transcriptomics and stable isotope tracing analysis in a subset of same participants. Further analysis with pathologic features will identify potential pathways linked to disease development. Disclosure G.Zhang: None. C.Birznieks: None. I.De boer: Advisory Panel; AstraZeneca, Boehringer Ingelheim and Eli Lilly Alliance, Boehringer Ingelheim International GmbH, Otsuka America Pharmaceutical, Inc., Bayer Inc., Consultant; George Clinical, Gilead Sciences, Inc., Medscape, Research Support; Dexcom, Inc. J.A.Schaub: None. K.J.Nadeau: None. V.Nair: None. F.Alakwaa: None. P.J.Mccown: None. A.Naik: Advisory Panel; CareDx. L.Pyle: None. D.Blondin: None. L.Liu: None. G.Richard: None. M.Kretzler: Research Support; Lilly, Boehringer Ingelheim Inc., Traveere Pharmaceuticals, Novo Nordisk, certa, Chinook Therapeutics Inc., Janssen Research & Development, LLC, AstraZeneca, Moderna, Inc., Gilead Sciences, Inc., Regeneron, Ionis Pharmaceuticals, Angioin, Renalytix. P.Bjornstad: Advisory Panel; AstraZeneca, Novo Nordisk, Lilly, Horizon Therapeutics plc, Boehringer Ingelheim (Canada) Ltd., LG Chem, Consultant; Bayer Inc., Bristol-Myers Squibb Company. K.Sharma: Advisory Panel; Reata Pharmaceuticals, Inc., Otsuka America Pharmaceutical, Inc. I.M.Tamayo: None. N.Garcia ponce de leon: None. T.B.Vigers: None. K.L.Tommerdahl: None. R.G.Nelson: None. P.E.Ladd: None. T.Alexandrov: None. Funding National Institutes of Health (UH3DK114920); JDRF (2-SRA-2019-845-S-B); Diabetes Research Center (P30DK116073)
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
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  • 3
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: Introduction: VSG attenuates early diabetic kidney disease (DKD) in youth with T2D, yet the molecular mechanisms of VSG on kidney health are unknown. We analyzed single-cell RNA sequencing data from paired kidney biopsies obtained from youth with T2D before and 1-year after VSG. Methods: Data from 5 youths with T2D who underwent kidney biopsies before and after VSG were included in this analysis (pre-VSG:17±2 years, HbA1c 7.5±2.6%, BMI 41±3 kg/m2, 40% with albuminuria (UACR≥30mg/g). A total of 23598 cells were profiled from the five paired kidney biopsies, with 19735 cells from 12 HC. Cell selective differentially expressed genes in disease (T2D vs. HC) were computed. Disease genes that reversed directionality post-VSG were termed "suppressed by VSG" or "upregulated by VSG," depending on the direction of the reversal. Results: VSG resulted in the normalization of HbA1c and UACR in all cases at 12 months. Post VSG, 73% of proximal tubule (PT) genes that were upregulated in T2D vs. HC were suppressed in VSG vs. T2D. These suppressed genes were enriched for glycolysis, gluconeogenesis, and TCA cycle pathways (Figure). Gene and pathway changes in the PT were similar to what was recently demonstrated with SGLT2i in T2D youth. Conclusion: VSG, like SGLT2i, is associated with reduced central carbon metabolism in the PT and other nephron segments. Disclosure A.Naik: Advisory Panel; CareDx. K.N.Z.Fuller: None. P.E.Ladd: None. D.A.Sandoval: Consultant; Metis Therapeutics. S.Gross: None. P.Zeitler: Consultant; Eli Lilly and Company, Boehringer Ingelheim Inc., Johnson & Johnson. K.J.Nadeau: None. J.R.Ryder: None. T.Inge: None. J.B.Hodgin: None. F.C.Brosius: Advisory Panel; Gilead Sciences, Inc. F.Alakwaa: None. R.G.Nelson: None. M.Kretzler: Research Support; Lilly, Boehringer Ingelheim Inc., Traveere Pharmaceuticals, Novo Nordisk, certa, Chinook Therapeutics Inc., Janssen Research & Development, LLC, AstraZeneca, Moderna, Inc., Gilead Sciences, Inc., Regeneron, Ionis Pharmaceuticals, Angioin, Renalytix. P.Bjornstad: Advisory Panel; AstraZeneca, Novo Nordisk, Lilly, Horizon Therapeutics plc, Boehringer Ingelheim (Canada) Ltd., LG Chem, Consultant; Bayer Inc., Bristol-Myers Squibb Company. J.A.Schaub: None. P.J.Mccown: None. V.Nair: None. S.Eddy: None. L.Pyle: None. T.B.Vigers: None. M.M.Kelsey: Other Relationship; Boehringer Ingelheim Inc., Janssen Pharmaceuticals, Inc., Rhythm Pharmaceuticals, Inc., Lilly. Funding Boettcher Foundation; National Institute of Diabetes and Digestive and Kidney Diseases (K23116720, R01DK129211); JDRF (2-SRA-2019-845-S-B)
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    American Diabetes Association ; 2020
    In:  Diabetes Vol. 69, No. Supplement_1 ( 2020-06-01)
    In: Diabetes, American Diabetes Association, Vol. 69, No. Supplement_1 ( 2020-06-01)
    Abstract: Objective: ADA definitions of prediabetes are applied to children, yet little is known about the impact of the transient insulin resistance of puberty on glycemia. We aimed to evaluate the longitudinal trajectory of hemoglobin A1c (HbA1c) in youth with normal weight and with obesity as they progressed through puberty. Methods: Youth with normal weight (n=47, 49% female) or obesity (n=37, 62% female) of mixed race/ethnicity (Non-Hispanic White 34%, Hispanic 45%, Non-Hispanic Black 13%) entered the study in Tanner stage 2-3 (T2-3) and were followed until T5. Study visits were done at T2-3, T4, and T5 and included an IV glucose tolerance test, DXA, and fasting laboratory studies. HbA1c was measured by high-performance liquid chromatography and insulin sensitivity (Si), acute insulin response to glucose (AIRg), and disposition index (DI) were calculated. Group differences in HbA1c over time and time-dependent predictors of HbA1c were evaluated by mixed models, with and without adjusting for sex, race/ethnicity, and DXA %Fat. Results: Mean HbA1c was higher in youth with obesity (5.30±0.08%) vs. normal weight (5.10±0.06%, p=0.04) at baseline and each subsequent time point; differences were attenuated by adjusting for %Fat. HbA1c increased from T2/3 to T5 in the whole cohort (0.16±0.05%, p=0.004), and in youth with obesity (+0.18±0.08%, p=0.08), or normal weight (+0.14±0.05%, p=0.02); findings were similar after adjusting for sex, race/ethnicity, and %Fat. In a multivariate model adjusted for sex and race/ethnicity, HbA1c was associated with leptin (β=0.005, p=0.01) and adiponectin (β=-0.01p=0.02); these associations are similar after adjusting for %Fat. HbA1c was not associated with Si, AIRg or DI. Conclusions: Obesity is associated with higher HbA1c than normal weight during puberty. However, HbA1c increased during puberty, independent of body weight and composition. This increase in HbA1c is associated with changes in adipokines, but not with typical predictors of progression to diabetes (Si, DI). Disclosure M.M. Kelsey: Other Relationship; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo, Janssen Pharmaceuticals, Inc., Merck Sharp & Dohme Corp. A.M. Hilkin: None. C. Severn: None. L. Pyle: None. K.J. Nadeau: None. P. Zeitler: Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo, Eli Lilly and Company, Merck & Co., Inc. Funding American Diabetes Association (1-11-JF-23 to M.M.K.); Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD057022-04); University of Colorado Center for Women’s Health Research; Children’s Hospital Colorado Research Institute; National Institute for Diabetes and Digestive and Kidney Diseases (DK048520-13); National Center for Advancing Translational Sciences (UL1TR001082)
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2020
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  • 5
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: Lower SUMOD correlates with decreasing kidney function and atherosclerosis in adults with T1D, but its relationship with markers of arterial stiffness in youth with T1D is unknown. We sought to evaluate the relationship between SUMOD and central arterial stiffness in youth with T1D. Participants (n=49, 12-21 years old, 51% female, BMI 25.2±4.6 kg/m2, mean HbA1c8.6±1.4) were enrolled in EMERALD, a randomized controlled trial of metformin in youth with T1D. Post-hoc SUMOD was measured using Euroimmun ELISA kits from serum from the baseline visit. Ascending (AA) and descending aortic (DA) stiffness (pulse wave velocity [PWV] and strain) were determined by MRI at baseline and 3 months of follow-up. SUMOD positively correlated with AA strain (r: 0.37, p=0.04) and negatively with AA PWV (r: -0.41, p=0.03). According to SUMOD tertiles, participants in the lower tertile had higher AA PWV vs. the middle and high tertiles (Figure). Lower baseline SUMOD also predicted worsening in AA PWV over 3 months (β±SE: -0.04±0.01, p=0.03) adjusting for age, sex, baseline AA PWV, treatment group (metformin vs. placebo) and estimated glomerular filtration rate. In T1D youth, decreased SUMOD is associated with increased aortic stiffness. Further research is needed in T1D youth to understand the pathogenesis of SUMOD in cardiovascular disease. Disclosure P. Wiromrat: None. P. Bjornstad: Consultant; Self; Boehringer Ingelheim GmbH. C. Roncal-Jimenez: None. M. Schäfer: None. A. Baumgartner: None. L. Pyle: None. M. Cree-Green: None. Y. Garcia Reyes: None. L. Browne: None. R. Johnson: Board Member; Self; XORT Therapeutics. Stock/Shareholder; Self; Colorado Research Partners LLC. Consultant; Self; Danone Research Foundation. K.J. Nadeau: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
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  • 6
    In: Diabetes, American Diabetes Association, Vol. 68, No. Supplement_1 ( 2019-06-01)
    Abstract: Insulin resistance (IR) and obesity are independently associated with T1D and are known risk factors for CV disease, the leading cause of mortality in T1D. We evaluated the impact of BMI on CV outcomes in T1D youth and compared obese T1D (OT1D) youth to youth with type 2 diabetes (T2D). Pubertal youth aged 12-21 years with T1D and T2D were recruited from the RESistance to InSulin in type 1 and type 2 diabetes (RESISTANT) and Effects of MEtformin on CardiovasculaR Function in AdoLescents with type 1 Diabetes (EMERALD) cohorts. Participants were stratified as lean (LT1D), overweight, or obese T1D or T2D (Table). CV outcomes included resting heart rate (HR), systolic and diastolic blood pressure (SBP, DBP), leptin, hsCRP, and adiponectin. T1D participants performed bicycle ergometry for peak oxygen consumption (VO2peak), brachial artery (BA) distensibility by Dynapulse, and aortic MRI. HR, SBP, DBP, mean arterial pressure, and prevalence of hypertension were higher and BA distensibility, descending aorta oscillatory shear index, VO2peak, leptin, and hsCRP were worsened in OT1D vs. LT1D. Beyond hypertension prevalence in OT1D vs. T2D, which was worse in OT1D, T2D did not differ significantly from OT1D. Higher BMI, which is increasingly prevalent in T1D, is associated with a worsened CV profile in T1D youth, nearly approximating the CV phenotype of T2D youth. Closer attention to lifestyle management in T1D youth is needed to help reduce CV risk. Disclosure K.L. Tommerdahl: None. K.V. Baumgartner: None. P. Bjornstad: Advisory Panel; Self; Horizon, XORTX. Consultant; Self; Bayer US, Boehringer Ingelheim International GmbH, Bristol-Myers Squibb Company. A. Baumgartner: None. L. Pyle: None. J.G. Regensteiner: None. J.E.B. Reusch: Board Member; Self; American Diabetes Association. Other Relationship; Self; Merck & Co., Inc. K.J. Nadeau: None. Funding American Diabetes Association (7-11-CD-08 to K.J.N.); JDRF (11-2010-343); National Institutes of Health (1R56DK088971-01)
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
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  • 7
    In: Diabetes, American Diabetes Association, Vol. 68, No. Supplement_1 ( 2019-06-01)
    Abstract: Objectives: Pediatric-onset T2D is twice as common in girls vs. boys and is tightly linked with puberty and obesity. Alterations in gut microbiota, specifically the Firmicutes:Bacteroidetes ratio (F:B), may be associated with insulin sensitivity (Si) and may play a role in the pathophysiology of T2D. We aimed to evaluate associations between gut microbiome composition and Si and insulin secretion in obese prepubertal (PP) vs. late-pubertal (LP) girls. Methods: Obese PP (N=9, age 8.5 ±0.8 year, BMIz 2.0±0.5) and LP (Tanner 4-5, N=9, age 13.0±2.0 year, BMIz 2.0±0.5) obese girls underwent stool collection and intravenous glucose tolerance testing after an overnight fast. High-throughput sequencing of the bacterial 16S rRNA gene V3-V4 region was used to profile fecal bacterial communities. Bergman's minimal model was used to estimate Si and insulin secretion (acute insulin response to glucose, AIRg) and disposition index (DI). T-tests assessed group differences in Si, AIRg and DI. Spearman’s correlation examined relationships between microbiota relative abundance (%RA) and Si, AIRg and DI. Results: PP vs. LP girls had significantly higher Si (8.0±1.0 vs. 2.0±0.5 x10-4/min-1/μIU/ml, p & lt;0.001) and DI (3,525 ± 636 vs. 1,687 ± 385 x10-4/min-1, p=0.03). AIRg was not different between PP and LP girls (568 ± 132 vs. 840 ± 174 μIU/ml, p=0.23). F:B ratio related to insulin secretion and DI, (r=-0.32, p=0.20; r=-0.39, p=0.11) but not Si. At the genus level, Si was correlated to Ruminococus and Lachnospira %RA (r=0.53, p=0.02; r=0.50, p=0.036). AIRg was correlated to Peptostreptococcaceae %RA (r=-0.48, p=0.045). DI was correlated with Prevotella and Bifidobacterium %RA (r=0.57, p=0.01; R=- 0.54, p=0.02). Conclusion: These pilot study results suggest possible relationships among the gut microbiome, glucose metabolism, and puberty in girls at risk for T2D that merit further exploration. Disclosure B. Jobira: None. D.N. Frank: None. L. Pyle: None. S. Gross: None. D. Ir: None. W. Pendleton: None. C.E. Robertson: None. K.J. Nadeau: None. M.M. Kelsey: None. Funding University of Colorado Center for Women’s Health; National Institutes of Health/Colorado Clinical Translational Science Award (UL1TR002535)
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
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  • 8
    In: Diabetes, American Diabetes Association, Vol. 69, No. Supplement_1 ( 2020-06-01)
    Abstract: Background: The epidemic of obesity is growing in the U.S. due to changes in diet and lifestyle. Similar trends are also now occurring in T1D youth and may worsen IR and associated cardiovascular risk. However, the impact of obesity on IR in each tissue is unknown in T1D. Thus, we evaluated adipose, hepatic and muscle IR in obese youth with T1D, compared to BMI-similar control or T2D youth. Methods: 20 youth with T1D (age 16.0±2.3 years; % female 55; BMI%ile 95th [97, 98]; HbA1c 8.7±1.6%), 20 youth with T2D (age 15.4±2.3; % female 52; BMI%ile 95th [98, 99] ; HbA1c 8.5±2.4%) and 16 controls (age 14.8±1.8; % female 55; BMI%ile 97th [98, 99]) were included. In those with diabetes, glucose was controlled overnight by IV insulin to a target of ∼100 mg/dL. A 4-phase hyperinsulinemic-euglycemic clamp (basal, 10, 16 and 80 mU/m2/min of insulin [I] ) with isotopic tracers was performed the following AM to assess adipose, hepatic and muscle IR, respectively. Free fatty acids (FFA), glucose rate of disappearance (Rd) and glycerol and glucose rate of appearance (Ra) and %suppression (basal to 80 phase) were calculated. Results: Participant age, sex, BMI and Tanner stage were similar between groups. HbA1c was similar in groups with diabetes. During the basal phase, glycerol Ra/I and glucose Ra/I were similar between groups, but FFA/I was highest in obese controls (p & lt;0.001). At phase 10, glycerol Ra/I was similar between groups but FFA/I at phase 10 and 16 were similarly higher in T1D and T2D vs. controls (p=0.004, p & lt;0.001). At phase 16, glucose Ra/I and glycerol Ra/I were highest in T1D (p & lt;0.001, p & lt;0.001). At phase 80, T1D vs. T2D had similarly lower %glycerol Ra suppression than controls (p & lt;0.001) but higher glycerol Ra/I and glucose Rd in T1D vs. T2D (p=0.003, p=0.042). T1D youth and controls had similar glucose Rd (p=0.25). Conclusion: Obese youth with T1D have similar to worse adipose, worse hepatic, and less muscle IR than those with T2D. Treatment targeting obesity and IR is critically needed in T1D youth. Disclosure P. Wiromrat: None. M. Cree-Green: Advisory Panel; Self; Novo Nordisk Inc. B.C. Bergman: Consultant; Spouse/Partner; Novo Nordisk Inc., Sanofi US. Research Support; Self; Eli Lilly and Company. Speaker’s Bureau; Spouse/Partner; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Janssen Pharmaceuticals, Inc., Merck & Co., Inc. K.L. Tommerdahl: None. A. Baumgartner: None. L. Pyle: None. K.J. Nadeau: None. Funding American Diabetes Association (7-11-CD-08 to K.J.N.); National Heart, Lung, and Blood Institute; National Institute of Diabetes and Digestive and Kidney Diseases; JDRF
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2020
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  • 9
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: Polycystic Ovarian Syndrome (PCOS) is common and associated with insulin resistance (IR). The mechanism of IR in PCOS is unclear, likely multifactorial, and may relate to branched-chain amino acids (BCAA) and mitochondrial metabolism. We quantitated differences in BCAA and BCAA breakdown product short chain (C3-C5) acylcarnitines in response to hyperinsulinemia in obese girls with and without PCOS, and assessed the relationship to IR and hyperandrogenism. Obese girls with PCOS [n=15, 14.5 ± 1.6 years, BMI %ile 98.5 ± 1.0] and without PCOS [n=6; 13.2 ± 1.2 years, BMI %ile 98.0 ± 1.1] were studied. Insulin sensitivity was assessed with a hyperinsulinemic-euglycemic clamp and a testosterone panel obtained. Nontargeted metabolomics were performed in plasma samples obtained before and after the clamp. T-tests were used for group comparisons, with the Benjamini-Hochberg procedure (false discovery rate (FDR) set to 0.05) to control for multiple testing. Spearman’s correlation coefficient was calculated for BCAA vs. glucose infusion rate (GIR) and free androgen index (FAI). The groups had similar demographic, physical activity, diet attributes, HbA1c and lipids. Girls with PCOS had higher FAI and worse IR than controls. FAI related negatively to short chain acylcarnitines C4 (r = -0.74, p=0.0002) and C3 (r=-0.60, p =0.007). During hyperinsulinemia, girls with PCOS had higher valine (FDR-adjusted p=0.04) and lower valine breakdown product C4 butyrylcarnitine (FDR-adjusted p=0.01). End-clamp valine correlated with GIR (r= -0.59, p= 0.006) as did C4 butyrylcarnitine (r=0.44, p=0.04). Under hyperinsulinemia, a metabolomic signature was revealed in obese girls with PCOS, distinct from that in uncomplicated obesity. Valine was higher in girls with PCOS, while C4 acylcarnitine, its direct mitochondrial metabolite, was lower. Further work is needed to determine if BCAA metabolism is a modifiable target to improve insulin sensitivity or simply a useful biomarker. Disclosure A. Carreau: None. H. Rahat: None. Y. Garcia Reyes: None. L. Pyle: None. K.J. Nadeau: None. M. Cree-Green: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
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  • 10
    Online Resource
    Online Resource
    American Diabetes Association ; 2019
    In:  Diabetes Vol. 68, No. Supplement_1 ( 2019-06-01)
    In: Diabetes, American Diabetes Association, Vol. 68, No. Supplement_1 ( 2019-06-01)
    Abstract: Continuous glucose monitoring (CGM) is frequently used to assess glucose abnormalities in cystic fibrosis (CF) prior to frank diabetes, yet the biological significance of various CGM measures is unclear. Our aim is to identify CGM measures correlated with β-cell function decline in youth with CF. CGM and 2 hour oral glucose tolerance testing (OGTT) were collected in youth with CF and healthy controls (HC). Glucose and insulin were measured at baseline and 30 minutes on OGTT. Insulinogenic index [IGI=(insulin30-insulin0)/(Glucose30-Glucose0)] was used to estimate β-cell function. Eighty-one participants were included in the analysis [15 HC, 13 CF normal glucose tolerance (NGT), 41 CF abnormal glucose tolerance, and 12 CF related diabetes by OGTT] . There were no differences in age (13.6±3.5 years), sex, race, nor BMI z-score among groups. IGI was significantly lower in all CF groups, even CF NGT, compared to HC (p & lt;0.0001). Table 1 presents correlations between CGM measures and IGI. Youth with CF, despite NGT by OGTT, have impairments in insulin secretion. Greater peak glucose, %time & gt;140 mg/dl, and glucose variability (SD and MAGE), but not measures of average nor low glucose, on CGM correlate with declines in β-cell function. Further studies are needed to determine whether these CGM measures predict clinical decline in CF. Disclosure C.L. Chan: None. T.B. Vigers: None. L. Pyle: None. P. Zeitler: Consultant; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, Janssen Research & Development, Merck & Co., Inc., Novo Nordisk Inc. K.J. Nadeau: None. Funding Cystic Fibrosis Foundation (CHAN16A0, CHAN16GE0); National Institutes of Health (DK094712-04)
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
    detail.hit.zdb_id: 1501252-9
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