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Gonzalez JS, Bebu I, Krause-Steinrauf H, Hoogendoorn CJ, Crespo-Ramos G, Presley C, Naik AD, Kuo S, Johnson ML, Wexler D, Crandall JP, Bantle AE, Arends V, Cherrington AL. Differential Effects of Type 2 Diabetes Treatment Regimens on Diabetes Distress and Depressive Symptoms in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). Diabetes Care 2024; 47:610-619. [PMID: 38416773 PMCID: PMC10973899 DOI: 10.2337/dc23-2459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/19/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVE We evaluated whether adding basal insulin to metformin in adults with early type 2 diabetes mellitus (T2DM) would increase emotional distress relative to other treatments. RESEARCH DESIGN AND METHODS The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) of adults with T2DM of <10 years' duration, HbA1c 6.8-8.5%, and taking metformin monotherapy randomly assigned participants to add insulin glargine U-100, sulfonylurea glimepiride, the glucagon-like peptide-1 receptor agonist liraglutide, or the dipeptidyl peptidase 4 inhibitor sitagliptin. The Emotional Distress Substudy enrolled 1,739 GRADE participants (mean [SD] age 58.0 [10.2] years, 32% female, 56% non-Hispanic White, 18% non-Hispanic Black, 17% Hispanic) and assessed diabetes distress and depressive symptoms every 6 months. Analyses examined differences at 1 year and over the 3-year follow-up. RESULTS Across treatments, diabetes distress (-0.24, P < 0.0001) and depressive symptoms (-0.67, P < 0.0001) decreased over 1 year. Diabetes distress was lower at 1 year for the glargine group than for the other groups combined (-0.10, P = 0.002). Diabetes distress was also lower for liraglutide than for glimepiride or sitagliptin (-0.10, P = 0.008). Over the 3-year follow-up, there were no significant group differences in total diabetes distress; interpersonal diabetes distress remained lower for those assigned to liraglutide. No significant differences were observed for depressive symptoms. CONCLUSIONS Contrary to expectations, this randomized trial found no evidence for a deleterious effect of basal insulin on emotional distress. Glargine lowered diabetes distress modestly at 1 year rather than increasing it. Liraglutide also reduced diabetes distress at 1 year. Results can inform treatment decisions for adults with early T2DM.
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Affiliation(s)
- Jeffrey S. Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY
- New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, New York, NY
| | - Ionut Bebu
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD
| | - Claire J. Hoogendoorn
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Gladys Crespo-Ramos
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Caroline Presley
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Aanand D. Naik
- School of Public Health, University of Texas Health Science Center, Houston, TX
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
| | | | - Deborah Wexler
- Diabetes Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jill P. Crandall
- Division of Endocrinology and Fleischer Institute for Diabetes and Metabolism, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY
| | - Anne E. Bantle
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Valerie Arends
- Advanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Andrea L. Cherrington
- Department of Medicine (General Internal and Preventive Medicine), University of Alabama at Birmingham, Birmingham, AL
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2
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Rubin MR, de Boer IH, Backlund JYC, Arends V, Gubitosi-Klug R, Wallia A, Sinha Gregory N, Barnie A, Burghardt AJ, Lachin JM, Braffett BH, Schwartz AV. Biochemical Markers of Bone Turnover in Older Adults With Type 1 Diabetes. J Clin Endocrinol Metab 2022; 107:e2405-e2416. [PMID: 35188961 PMCID: PMC9113800 DOI: 10.1210/clinem/dgac099] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Type 1 diabetes (T1D) is characterized by high fracture risk, yet little is known regarding diabetes-related mechanisms or risk factors. OBJECTIVE Determine whether glycemic control, advanced glycation end products (AGEs), and microvascular complications are associated with bone turnover markers among older T1D adults. DESIGN Cross-sectional. SETTING Epidemiology of Diabetes Interventions and Complications study (6 of 27 clinical centers). PARTICIPANTS 232 T1D participants followed for >30 years. EXPOSURES Glycemic control ascertained as concurrent and cumulative hemoglobin A1c (HbA1c); kidney function, by estimated glomerular filtration rates (eGFR); and AGEs, by skin intrinsic fluorescence. MAIN OUTCOME MEASURES Serum procollagen 1 intact N-terminal propeptide (PINP), bone-specific alkaline phosphatase (bone ALP), serum C-telopeptide (sCTX), tartrate-resistant acid phosphatase 5b (TRACP5b), and sclerostin. RESULTS Mean age was 59.6 ± 6.8 years, and 48% were female. In models with HbA1c, eGFR, and AGEs, adjusted for age and sex, higher concurrent HbA1c was associated with lower PINP [β -3.4 pg/mL (95% CI -6.1, -0.7), P = 0.015 for each 1% higher HbA1c]. Lower eGFR was associated with higher PINP [6.9 pg/mL (95% CI 3.8, 10.0), P < 0.0001 for each -20 mL/min/1.73 m2 eGFR], bone ALP [1.0 U/L (95% CI 0.2, 1.9), P = 0.011], sCTX [53.6 pg/mL (95% CI 32.6, 74.6), P < 0.0001], and TRACP5b [0.3 U/L (95% CI 0.1, 0.4), P = 0.002]. However, AGEs were not associated with any bone turnover markers in adjusted models. HbA1c, eGFR, and AGEs were not associated with sclerostin levels. CONCLUSIONS Among older adults with T1D, poor glycemic control is a risk factor for reduced bone formation, while reduced kidney function is a risk factor for increased bone resorption and formation.
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Affiliation(s)
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jye-Yu C Backlund
- The Biostatistics Center, George Washington University, Rockville, MD,USA
| | - Valerie Arends
- Departement of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Rose Gubitosi-Klug
- Case Western Reserve/Rainbow Babies and Children’s Hospital, Cleveland, OH, USA
| | - Amisha Wallia
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Andrew J Burghardt
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - John M Lachin
- The Biostatistics Center, George Washington University, Rockville, MD,USA
| | - Barbara H Braffett
- The Biostatistics Center, George Washington University, Rockville, MD,USA
| | - Ann V Schwartz
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
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3
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Schwaiger-Haber M, Stancliffe E, Arends V, Thyagarajan B, Sindelar M, Patti GJ. A Workflow to Perform Targeted Metabolomics at the Untargeted Scale on a Triple Quadrupole Mass Spectrometer. ACS Meas Sci Au 2021; 1:35-45. [PMID: 34476422 PMCID: PMC8377714 DOI: 10.1021/acsmeasuresciau.1c00007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Indexed: 05/25/2023]
Abstract
The thousands of features commonly observed when performing untargeted metabolomics with quadrupole time-of-flight (QTOF) and Orbitrap mass spectrometers often correspond to only a few hundred unique metabolites of biological origin, which is in the range of what can be assayed in a single targeted metabolomics experiment by using a triple quadrupole (QqQ) mass spectrometer. A major benefit of performing targeted metabolomics with QqQ mass spectrometry is the affordability of the instruments relative to high-resolution QTOF and Orbitrap platforms. Optimizing targeted methods to profile hundreds of metabolites on a QqQ mass spectrometer, however, has historically been limited by the availability of authentic standards, particularly for "unknowns" that have yet to be structurally identified. Here, we report a strategy to develop multiple reaction monitoring (MRM) methods for QqQ instruments on the basis of high-resolution spectra, thereby enabling us to use data from untargeted metabolomics to design targeted experiments without the need for authentic standards. We demonstrate that using high-resolution fragmentation data alone to design MRM methods results in the same quantitative performance as when methods are optimized by measuring authentic standards on QqQ instruments, as is conventionally done. The approach was validated by showing that Orbitrap ID-X data can be used to establish MRM methods on a Thermo TSQ Altis and two Agilent QqQs for hundreds of metabolites, including unknowns, without a dependence on standards. Finally, we highlight an application where metabolite profiling was performed on an ID-X and a QqQ by using the strategy introduced here, with both data sets yielding the same result. The described approach therefore allows us to use QqQ instruments, which are often associated with targeted metabolomics, to profile knowns and unknowns at a comprehensive scale that is typical of untargeted metabolomics.
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Affiliation(s)
- Michaela Schwaiger-Haber
- Department
of Chemistry, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
- Department
of Medicine, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
| | - Ethan Stancliffe
- Department
of Chemistry, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
- Department
of Medicine, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
| | - Valerie Arends
- Department
of Laboratory Medicine and Pathology, University
of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bharat Thyagarajan
- Department
of Laboratory Medicine and Pathology, University
of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Miriam Sindelar
- Department
of Chemistry, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
- Department
of Medicine, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
| | - Gary J. Patti
- Department
of Chemistry, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
- Department
of Medicine, Washington University in St.
Louis, St. Louis, Missouri 63130, United States
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4
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Gubitosi-Klug RA, Braffett BH, Hitt S, Arends V, Uschner D, Jones K, Diminick L, Karger AB, Paterson AD, Roshandel D, Marcovina S, Lachin JM, Steffes M, Palmer JP. Residual β cell function in long-term type 1 diabetes associates with reduced incidence of hypoglycemia. J Clin Invest 2021; 131:143011. [PMID: 33529168 PMCID: PMC7843223 DOI: 10.1172/jci143011] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/09/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUNDWe investigated residual β cell function in Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study participants with an average 35-year duration of type 1 diabetes mellitus (T1DM).METHODSSerum C-peptide was measured during a 4-hour mixed-meal tolerance test. Associations with metabolic outcomes and complications were explored among nonresponders (all C-peptide values after meal <0.003 nmol/L) and 3 categories of responders, classified by peak C-peptide concentration (nmol/L) as high (>0.2), intermediate (>0.03 to ≤0.2), and low (≥ 0.003 to ≤0.03).RESULTSOf the 944 participants, 117 (12.4%) were classified as responders. Residual C-peptide concentrations were associated with higher DCCT baseline concentrations of stimulated C-peptide (P value for trend = 0.0001). Residual C-peptide secretion was not associated with current or mean HbA1c, HLA high-risk haplotypes for T1DM, or the current presence of T1DM autoantibodies. The proportion of subjects with a history of severe hypoglycemia was lower with high (27%) and intermediate (48%) residual C-peptide concentrations than with low (74%) and no (70%) residual C-peptide concentrations (P value for trend = 0.0001). Responders and nonresponders demonstrated similar rates of advanced microvascular complications.CONCLUSIONβ Cell function can persist in long-duration T1DM. With a peak C-peptide concentration of >0.03 nmol/L, we observed clinically meaningful reductions in the prevalence of severe hypoglycemia.TRIAL REGISTRATIONClinicalTrials.gov NCT00360815 and NCT00360893.FUNDINGDivision of Diabetes Endocrinology and Metabolic Diseases of the National Institute of Diabetes and Digestive and Kidney Diseases (DP3-DK104438, U01 DK094176, and U01 DK094157).
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Affiliation(s)
- Rose A. Gubitosi-Klug
- Rainbow Babies and Children’s Hospital, Case Western Reserve University, Cleveland, Ohio, USA
| | - Barbara H. Braffett
- The Biostatistics Center, George Washington University, Rockville, Maryland, USA
| | - Susan Hitt
- University of Missouri, Columbia, Missouri, USA
| | | | - Diane Uschner
- The Biostatistics Center, George Washington University, Rockville, Maryland, USA
| | | | - Lisa Diminick
- The Biostatistics Center, George Washington University, Rockville, Maryland, USA
| | - Amy B. Karger
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Andrew D. Paterson
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Divisions of Epidemiology and Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Delnaz Roshandel
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | | | - John M. Lachin
- The Biostatistics Center, George Washington University, Rockville, Maryland, USA
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5
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Larkin ME, Nathan DM, Bebu I, Krause-Steinrauf H, Herman WH, Higgins JM, Tiktin M, Cohen RM, Lund C, Bergenstal RM, Johnson ML, Arends V. Rationale and Design for a GRADE Substudy of Continuous Glucose Monitoring. Diabetes Technol Ther 2019; 21:682-690. [PMID: 31393176 PMCID: PMC7207016 DOI: 10.1089/dia.2019.0202] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background: The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) study has enrolled a racially and ethnically diverse population with type 2 diabetes, performed extensive phenotyping, and randomly assigned the participants to one of four second-line diabetes medications. The continuous glucose monitoring (CGM) substudy has been added to determine whether there are racial/ethnic differences in the relationship between average glucose (AG) and hemoglobin A1c (HbA1c). CGM will also be used to compare time in target range, glucose variability, and the frequency and duration of hypoglycemia across study groups. Methods: The observational CGM substudy will enroll up to 1800 of the 5047 GRADE study participants from the four treatment groups, including as many as 450 participants from each of 4 racial/ethnic minority groups to be compared: Hispanic White, non-Hispanic White, non-Hispanic African American, and non-Hispanic Other. CGM will be performed for 2 weeks in proximity to a GRADE annual visit, during which an oral glucose tolerance test will be performed and HbA1c and glycated albumin measured. Indicators of interindividual variation in red blood cell turnover, based on specialized erythrocyte measurements, will also be measured to explore the potential causes of interindividual HbA1c variations. Conclusions: The GRADE CGM substudy will provide new insights into whether differences exist in the relationship between HbA1c and AG among different racial/ethnic groups and whether glycemic profiles differ among frequently used diabetes medications and their potential clinical implications. Understanding such differences is important for clinical care and adjustment of diabetes medications in patients of different races or ethnicities.
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Affiliation(s)
- Mary E. Larkin
- Massachusetts General Hospital Diabetes Center, Harvard Medical School, Boston, Massachusetts
- Address correspondence to: Mary Larkin, MS, RN, c/o GRADE Coordinating Center, The George Washington University Biostatistics Center, 6110 Executive Boulevard, Suite 750, Rockville, MD 20852
| | - David M. Nathan
- Massachusetts General Hospital Diabetes Center, Harvard Medical School, Boston, Massachusetts
| | - Ionut Bebu
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The George Washington University, Rockville, Maryland
| | - Heidi Krause-Steinrauf
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The George Washington University, Rockville, Maryland
| | - William H. Herman
- Internal Medicine and Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - John M. Higgins
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Margaret Tiktin
- Multidisciplinary Research, Case Western Reserve University, Cleveland, Ohio
| | - Robert M. Cohen
- Cincinnati VA Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Claire Lund
- The Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute of Public Health, The George Washington University, Rockville, Maryland
| | | | - Mary L. Johnson
- Health Partners Institute, International Diabetes Center, Minneapolis, Minnesota
| | - Valerie Arends
- Advanced Research and Diagnostic Laboratory, University of Minnesota, Minneapolis, Minnesota
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6
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Tang O, Selvin E, Arends V, Saenger A. Short-Term Stability of Hematologic Parameters in Frozen Whole Blood. J Appl Lab Med 2019; 4:410-414. [PMID: 31659078 DOI: 10.1373/jalm.2018.028357] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 02/21/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Complete blood counts (CBCs) are commonly obtained in large multicenter studies. We assessed the stability of 10 parameters after short-term (up to 30 days) frozen storage. METHODS We compared CBC measurements from fresh samples (n = 53) with samples stored for up to 30 days at -70 °C. We calculated the CVs and intraclass correlation coefficients. RESULTS Mean values of most parameters, with the exception of hemoglobin and platelet count, were significantly different by 15 days of storage. White blood cell count (CV, 38.3%; 95% CI, 31.3%-46.2%) and red cell distribution width (CV, 37.7%; 95% CI, 34.1%-41.3%) were the most variable. After 30 days, only hemoglobin remained stable and reliable (CV, 0.8%; 95% CI, 0.4%-1.3%). CONCLUSIONS Hemoglobin remained stable in frozen blood samples stored for up to 30 days at -70 °C and may be reliably used in research studies using short-term frozen specimens. Other CBC parameters measured in stored blood are not sufficiently reliable for research or patient care.
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Affiliation(s)
- Olive Tang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Elizabeth Selvin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; .,Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD
| | - Valerie Arends
- Advanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Amy Saenger
- Advanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
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7
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Tang WW, McGee P, Lachin JM, Li DY, Hoogwerf B, Hazen SL, Nathan D, Zinman B, Crofford O, Genuth S, Brown‐Friday J, Crandall J, Engel H, Engel S, Martinez H, Phillips M, Reid M, Shamoon H, Sheindlin J, Gubitosi‐Klug R, Mayer L, Pendegast S, Zegarra H, Miller D, Singerman L, Smith‐Brewer S, Novak M, Quin J, Genuth S, Palmert M, Brown E, McConnell J, Pugsley P, Crawford P, Dahms W, Gregory N, Lackaye M, Kiss S, Chan R, Orlin A, Rubin M, Brillon D, Reppucci V, Lee T, Heinemann M, Chang S, Levy B, Jovanovic L, Richardson M, Bosco B, Dwoskin A, Hanna R, Barron S, Campbell R, Bhan A, Kruger D, Jones J, Edwards P, Bhan A, Carey J, Angus E, Thomas A, Galprin A, McLellan M, Whitehouse F, Bergenstal R, Johnson M, Gunyou K, Thomas L, Laechelt J, Hollander P, Spencer M, Kendall D, Cuddihy R, Callahan P, List S, Gott J, Rude N, Olson B, Franz M, Castle G, Birk R, Nelson J, Freking D, Gill L, Mestrezat W, Etzwiler D, Morgan K, Aiello L, Golden E, Arrigg P, Asuquo V, Beaser R, Bestourous L, Cavallerano J, Cavicchi R, Ganda O, Hamdy O, Kirby R, Murtha T, Schlossman D, Shah S, Sharuk G, Silva P, Silver P, Stockman M, Sun J, Weimann E, Wolpert H, Aiello L, Jacobson A, Rand L, Rosenzwieg J, Nathan D, Larkin M, Christofi M, Folino K, Godine J, Lou P, Stevens C, Anderson E, Bode H, Brink S, Cornish C, Cros D, Delahanty L, eManbey ., Haggan C, Lynch J, McKitrick C, Norman D, Moore D, Ong M, Taylor C, Zimbler D, Crowell S, Fritz S, Hansen K, Gauthier‐Kelly C, Service F, Ziegler G, Barkmeier A, Schmidt L, French B, Woodwick R, Rizza R, Schwenk W, Haymond M, Pach J, Mortenson J, Zimmerman B, Lucas A, Colligan R, Luttrell L, Lopes‐Virella M, Caulder S, Pittman C, Patel N, Lee K, Nutaitis M, Fernandes J, Hermayer K, Kwon S, Blevins A, Parker J, Colwell J, Lee D, Soule J, Lindsey P, Bracey M, Farr A, Elsing S, Thompson T, Selby J, Lyons T, Yacoub‐Wasef S, Szpiech M, Wood D, Mayfield R, Molitch M, Adelman D, Colson S, Jampol L, Lyon A, Gill M, Strugula Z, Kaminski L, Mirza R, Simjanoski E, Ryan D, Johnson C, Wallia A, Ajroud‐Driss S, Astelford P, Leloudes N, Degillio A, Schaefer B, Mudaliar S, Lorenzi G, Goldbaum M, Jones K, Prince M, Swenson M, Grant I, Reed R, Lyon R, Kolterman O, Giotta M, Clark T, Friedenberg G, Sivitz W, Vittetoe B, Kramer J, Bayless M, Zeitler R, Schrott H, Olson N, Snetselaar L, Hoffman R, MacIndoe J, Weingeist T, Fountain C, Miller R, Johnsonbaugh S, Patronas M, Carney M, Mendley S, Salemi P, Liss R, Hebdon M, Counts D, Donner T, Gordon J, Hemady R, Kowarski A, Ostrowski D, Steidl S, Jones B, Herman W, Martin C, Pop‐Busui R, Greene D, Stevens M, Burkhart N, Sandford T, Floyd J, Bantle J, Flaherty N, Terry J, Koozekanani D, Montezuma S, Wimmergren N, Rogness B, Mech M, Strand T, Olson J, McKenzie L, Kwong C, Goetz F, Warhol R, Hainsworth D, Goldstein D, Hitt S, Giangiacomo J, Schade D, Canady J, Burge M, Das A, Avery R, Ketai L, Chapin J, Schluter M, Rich J, Johannes C, Hornbeck D, Schutta M, Bourne P, Brucker A, Braunstein S, Schwartz S, Maschak‐Carey B, Baker L, Orchard T, Cimino L, Songer T, Doft B, Olson S, Becker D, Rubinstein D, Bergren R, Fruit J, Hyre R, Palmer C, Silvers N, Lobes L, Rath PP, Conrad P, Yalamanchi S, Wesche J, Bratkowksi M, Arslanian S, Rinkoff J, Warnicki J, Curtin D, Steinberg D, Vagstad G, Harris R, Steranchak L, Arch J, Kelly K, Ostrosaka P, Guiliani M, Good M, Williams T, Olsen K, Campbell A, Shipe C, Conwit R, Finegold D, Zaucha M, Drash A, Morrison A, Malone J, Bernal M, Pavan P, Grove N, Tanaka E, McMillan D, Vaccaro‐Kish J, Babbione L, Solc H, DeClue T, Dagogo‐Jack S, Wigley C, Ricks H, Kitabchi A, Chaum E, Murphy M, Moser S, Meyer D, Iannacone A, Yoser S, Bryer‐Ash M, Schussler S, Lambeth H, Raskin P, Strowig S, Basco M, Cercone S, Zinman B, Barnie A, Devenyi R, Mandelcorn M, Brent M, Rogers S, Gordon A, Bakshi N, Perkins B, Tuason L, Perdikaris F, Ehrlich R, Daneman D, Perlman K, Ferguson S, Palmer J, Fahlstrom R, de Boer I, Kinyoun J, Van Ottingham L, Catton S, Ginsberg J, McDonald C, Harth J, Driscoll M, Sheidow T, Mahon J, Canny C, Nicolle D, Colby P, Dupre J, Hramiak I, Rodger N, Jenner M, Smith T, Brown W, May M, Lipps Hagan J, Agarwal A, Adkins T, Lorenz R, Feman S, Survant L, White N, Levandoski L, Grand G, Thomas M, Joseph D, Blinder K, Shah G, Burgess D, Boniuk I, Santiago J, Tamborlane W, Gatcomb P, Stoessel K, Ramos P, Fong K, Ossorio P, Ahern J, Gubitosi‐Klug R, Meadema‐Mayer L, Beck C, Farrell K, Genuth S, Quin J, Gaston P, Palmert M, Trail R, Dahms W, Lachin J, Backlund J, Bebu I, Braffett B, Diminick L, Gao X, Hsu W, Klumpp K, Pan H, Trapani V, Cleary P, McGee P, Sun W, Villavicencio S, Anderson K, Dews L, Younes N, Rutledge B, Chan K, Rosenberg D, Petty B, Determan A, Kenny D, Williams C, Cowie C, Siebert C, Steffes M, Arends V, Bucksa J, Nowicki M, Chavers B, O'Leary D, Polak J, Harrington A, Funk L, Crow R, Gloeb B, Thomas S, O'Donnell C, Soliman E, Zhang Z, Li Y, Campbell C, Keasler L, Hensley S, Hu J, Barr M, Taylor T, Prineas R, Feldman E, Albers J, Low P, Sommer C, Nickander K, Speigelberg T, Pfiefer M, Schumer M, Moran M, Farquhar J, Ryan C, Sandstrom D, Williams T, Geckle M, Cupelli E, Thoma F, Burzuk B, Woodfill T, Danis R, Blodi B, Lawrence D, Wabers H, Gangaputra S, Neill S, Burger M, Dingledine J, Gama V, Sussman R, Davis M, Hubbard L, Budoff M, Darabian S, Rezaeian P, Wong N, Fox M, Oudiz R, Kim L, Detrano R, Cruickshanks K, Dalton D, Bainbridge K, Lima J, Bluemke D, Turkbey E, der Geest ., Liu C, Malayeri A, Jain A, Miao C, Chahal H, Jarboe R, Nathan D, Monnier V, Sell D, Strauch C, Hazen S, Pratt A, Tang W, Brunzell J, Purnell J, Natarajan R, Miao F, Zhang L, Chen Z, Paterson A, Boright A, Bull S, Sun L, Scherer S, Lopes‐Virella M, Lyons T, Jenkins A, Klein R, Virella G, Jaffa A, Carter R, Stoner J, Garvey W, Lackland D, Brabham M, McGee D, Zheng D, Mayfield R, Maynard J, Wessells H, Sarma A, Jacobson A, Dunn R, Holt S, Hotaling J, Kim C, Clemens Q, Brown J, McVary K. Oxidative Stress and Cardiovascular Risk in Type 1 Diabetes Mellitus: Insights From the DCCT/EDIC Study. J Am Heart Assoc 2018. [PMCID: PMC6015340 DOI: 10.1161/jaha.117.008368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Hyperglycemia leading to increased oxidative stress is implicated in the increased risk for the development of macrovascular and microvascular complications in patients with type 1 diabetes mellitus.
Methods and Results
A random subcohort of 349 participants was selected from the
DCCT
/
EDIC
(Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications) cohort. This included 320 controls and 29 cardiovascular disease cases that were augmented with 98 additional known cases to yield a case cohort of 447 participants (320 controls, 127 cases). Biosamples from
DCCT
baseline, year 1, and closeout of
DCCT
, and 1 to 2 years post‐
DCCT
(
EDIC
years 1 and 2) were measured for markers of oxidative stress, including plasma myeloperoxidase, paraoxonase activity, urinary F
2α
isoprostanes, and its metabolite, 2,3 dinor‐8
iso
prostaglandin F
2α
. Following adjustment for glycated hemoblobin and weighting the observations inversely proportional to the sampling selection probabilities, higher paraoxonase activity, reflective of antioxidant activity, and 2,3 dinor‐8
iso
prostaglandin F
2α
, an oxidative marker, were significantly associated with lower risk of cardiovascular disease (−4.5% risk for 10% higher paraoxonase,
P
<0.003; −5.3% risk for 10% higher 2,3 dinor‐8
iso
prostaglandin F
2α
,
P
=0.0092). In contrast, the oxidative markers myeloperoxidase and F
2α
isoprostanes were not significantly associated with cardiovascular disease after adjustment for glycated hemoblobin. There were no significant differences between
DCCT
intensive and conventional treatment groups in the change in all biomarkers across time segments.
Conclusions
Heightened antioxidant activity (rather than diminished oxidative stress markers) is associated with lower cardiovascular disease risk in type 1 diabetes mellitus, but these biomarkers did not change over time with intensification of glycemic control.
Clinical Trial Registration
URL
:
https://www.clinicaltrials.gov
. Unique identifiers:
NCT
00360815 and
NCT
00360893.
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Affiliation(s)
- W.H. Wilson Tang
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
| | - Paula McGee
- The Biostatistics Center, George Washington University, Rockville, MD
| | - John M. Lachin
- The Biostatistics Center, George Washington University, Rockville, MD
| | - Daniel Y. Li
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | | | - Stanley L. Hazen
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
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8
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Kim C, Karvonen-Gutierrez C, Kong S, Arends V, Steffes M, McConnell DS, Randolph JF, Harlow SD. Antimüllerian hormone among women with and without type 1 diabetes: the Epidemiology of Diabetes Interventions and Complications Study and the Michigan Bone Health and Metabolism Study. Fertil Steril 2016; 106:1446-1452. [PMID: 27475411 PMCID: PMC5159208 DOI: 10.1016/j.fertnstert.2016.07.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 07/07/2016] [Accepted: 07/08/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To compare concentrations of antimüllerian hormone (AMH) in women with and without type 1 diabetes. DESIGN Cross-sectional analysis of longitudinal studies, adjusting for repeated measures. SETTING Not applicable. PATIENT(S) Women aged 30-45 years who had not undergone oophorectomy, hysterectomy, or natural menopause at the time of AMH measurement were included (n = 376 in the Michigan Bone Health and Metabolism Study and n = 321 in the Epidemiology of Interventions and Complications Study). Linear mixed regression was used to evaluate whether AMH concentrations differed by diabetes status, adjusting for repeated measurements of AMH within individual women, body mass index, smoking status, and oral contraceptive use. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Concentrations of AMH. RESULT(S) In unadjusted comparisons, women with and without diabetes had similar median AMH values before 35 years of age, although women with type 1 diabetes had a lower proportion of women with elevated AMH concentrations (≥5.0 ng/dL). After adjustment for covariates and multiple observations per woman, log AMH concentrations were significantly lower among women with type 1 diabetes compared with women without diabetes (β-coefficient -1.27, 95% confidence interval [-2.18, -0.36] in fully adjusted models) before 35 years of age. CONCLUSION(S) Before 35 years of age, women with type 1 diabetes have lower AMH levels than women without diabetes. Further investigation is needed to determine the etiologies of this difference and how it may contribute to reproductive disorders among women with type 1 diabetes.
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Affiliation(s)
- Catherine Kim
- Department of Medicine, University of Michigan, Ann Arbor, Michigan.
| | | | | | - Valerie Arends
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Michael Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | | | - John F Randolph
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan
| | - Siobán D Harlow
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
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9
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Kim C, Bebu I, Braffett B, Cleary PA, Arends V, Steffes M, Wessells H, Orchard T, Sarma AV. Testosterone and cardiac mass and function in men with type 1 diabetes in the Epidemiology of Diabetes Interventions and Complications Study (EDIC). Clin Endocrinol (Oxf) 2016; 84:693-9. [PMID: 26641212 PMCID: PMC4824167 DOI: 10.1111/cen.12990] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 10/29/2015] [Accepted: 11/26/2015] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Low testosterone concentrations have been reported to be associated with increased risk of congestive heart failure, but the mechanisms are unclear. Our objective was to examine the relationship between endogenous testosterone and measures of cardiac mass and function among men with type 1 diabetes. DESIGN Secondary analysis of a prospective observational study. PARTICIPANTS Men (n = 508) in the Epidemiology of Diabetes Interventions and Complications (EDIC) study, the observational follow-up of the Diabetes Control and Complications Trial (DCCT). MEASUREMENTS Testosterone assessed by liquid chromatography mass spectrometry at EDIC year 10 and cardiac magnetic resonance imaging (CMR) measures at EDIC years 14/15. Linear regression models were used to assess the relationship between testosterone, sex hormone binding globulin (SHBG) and left ventricular (LV) mass, volume, ejection fraction and cardiac index before and after adjustment for age, randomization arm, alcohol and cigarette use, macroalbuminuria, haemoglobin A1c, insulin dose, body mass index, lipids, blood pressure, use of antihypertensive medications and microvascular complications. RESULTS In fully adjusted models, total testosterone concentrations were significantly associated with LV mass (P = 0·014), end-diastolic volume (P = 0·002), end-systolic volume (P = 0·012) and stroke volume (P = 0·022), but not measures of LV function after adjustment for cardiac risk factors. Bioavailable testosterone was associated with LV mass, but not volume or function, while SHBG was associated with volume, but not mass or function. CONCLUSIONS Among men with type 1 diabetes, higher total testosterone was associated with higher LV mass and volume, but not with function. The clinical significance of this association remains to be established.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics & Gynecology, and Epidemiology, University of Michigan, Ann Arbor, MI
| | - Ionut Bebu
- The Biostatistics Center, George Washington University, Rockville, MD
| | - Barbara Braffett
- The Biostatistics Center, George Washington University, Rockville, MD
| | | | - Valerie Arends
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Michael Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Hunter Wessells
- Department of Urology, University of Washington, Seattle, WA
| | - Trevor Orchard
- Department of Epidemiology, University of Pittsburgh, PA
| | - Aruna V. Sarma
- Department of Urology, University of Michigan, Ann Arbor, MI
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10
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Kim C, Dunn RL, Braffett B, Cleary PA, Arends V, Steffes M, Lanham MSM, Randolph JF, Wessells H, Wellons MF, Sarma AV. Ovarian reserve in women with Type 1 diabetes in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study. Diabet Med 2016; 33:691-2. [PMID: 26798983 PMCID: PMC4837044 DOI: 10.1111/dme.13072] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/15/2016] [Indexed: 10/22/2022]
Abstract
Markers of ovarian reserve such as anti-Müllerian hormone (AMH) are used in the management of fertility and prediction of menopause. Although women with type 1 diabetes have a high prevalence of reproductive disorders, no studies have examined whether markers of ovarian reserve are associated with randomization to intensive insulin therapy and subsequent markers of glycemic control. Using data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study, we found that the strongest predictor of AMH was chronologic age, and that diabetes-specific variables such as randomization to intensive therapy, insulin dose, and glycemic control were not associated with AMH concentrations.
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Affiliation(s)
- C Kim
- Departments of Medicine, Obstetrics & Gynecology, and Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - R L Dunn
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
| | - B Braffett
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - P A Cleary
- The Biostatistics Center, George Washington University, Rockville, MD, USA
| | - V Arends
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - M Steffes
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - M S M Lanham
- Department of Obstetrics & Gynecology, University of Michigan, Ann Arbor, MI, USA
| | - J F Randolph
- Department of Obstetrics & Gynecology, University of Michigan, Ann Arbor, MI, USA
| | - H Wessells
- Department of Urology, University of Washington, Seattle, WA, USA
| | - M F Wellons
- Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - A V Sarma
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
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11
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Tsai MY, Li N, Sharrett AR, Shea S, Jacobs DR, Tracy R, Arnett D, Arends V, Post W. Associations of genetic variants in ATP-binding cassette A1 and cholesteryl ester transfer protein and differences in lipoprotein subclasses in the multi-ethnic study of atherosclerosis. Clin Chem 2009; 55:481-8. [PMID: 19131637 DOI: 10.1373/clinchem.2008.107995] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND ATP-binding cassette A1 (ABCA1) and cholesteryl ester transfer protein (CETP) play important roles in the reverse cholesterol transport pathway. The associations of ABCA1 and CETP polymorphisms with lipoprotein subclasses have not been extensively studied. METHODS We genotyped 2 ABCA1 and 5 CETP polymorphisms in 999 participants of the Multi-Ethnic Study of Atherosclerosis (MESA) and studied their associations with HDL and LDL subclass particle concentrations, measured by nuclear magnetic resonance spectroscopy. RESULTS ABCA1 and CETP polymorphisms were associated with different and distinct changes in lipoprotein subclass concentrations. The ABCA1 1051G/A AA genotype, previously found to be associated with cardioprotective effects in this cohort, was associated with a 5.5% higher concentration of small HDL particles (P = 0.024). The CETP TaqIB B2B2, -2505C/A AA, and -629C/A AA genotypes, previously demonstrated to lack cardioprotective effects, were associated with 15.2%, 15.4%, and 11.7% higher HDL cholesterol concentrations, respectively, and 36.5%, 40.7%, and 25.4% higher large HDL particle concentrations (P < 0.0001). The minor alleles of the A373P and R451Q polymorphisms were associated with lower large HDL particle concentrations. CONCLUSIONS Our study of the influence of ABCA1 and CETP genetic variants on lipoprotein subclasses demonstrates the importance of interpreting lipoprotein subclasses within the context of the biochemical processes involved in the alterations. In the case of HDL, the study of subclass particle numbers and sizes may not be sufficiently informative. Assays for HDL function may be needed to supplement quantification of HDL cholesterol and HDL particle numbers and sizes.
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Affiliation(s)
- Michael Y Tsai
- Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN 55455-0392, USA.
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