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Petrelli A, Cugnata F, Carnovale D, Bosi E, Libman IM, Piemonti L, Cuthbertson D, Sosenko JM. HOMA-IR and the Matsuda Index as predictors of progression to type 1 diabetes in autoantibody-positive relatives. Diabetologia 2024; 67:290-300. [PMID: 37914981 PMCID: PMC10789859 DOI: 10.1007/s00125-023-06034-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023]
Abstract
AIM/HYPOTHESIS We assessed whether HOMA-IR and the Matsuda Index are associated with transitions through stages of type 1 diabetes. METHODS Autoantibody (AAb)-positive relatives of individuals with type 1 diabetes (n=6256) from the TrialNet Pathway to Prevention were studied. Associations of indicators of insulin resistance (HOMA-IR) and insulin sensitivity (Matsuda Index) with BMI percentile (BMIp) and age were assessed with adjustments for measures of insulin secretion, Index60 and insulinogenic index (IGI). Cox regression was used to determine if tertiles of HOMA-IR and Matsuda Index predicted transitions from Not Staged (<2 AAbs) to Stage 1 (≥2 AAbs and normoglycaemia), from Stage 1 to Stage 2 (≥2 AAbs with dysglycaemia), and progression to Stage 3 (diabetes as defined by WHO/ADA criteria). RESULTS There were strong associations of HOMA-IR (positive) and Matsuda Index (inverse) with baseline age and BMIp (p<0.0001). After adjustments for Index60, transitioning from Stage 1 to Stage 2 was associated with higher HOMA-IR and lower Matsuda Index (HOMA-IR: HR=1.71, p<0.0001; Matsuda Index, HR=0.40, p<0.0001), as with progressing from Stages 1 or 2 to Stage 3 (HOMA-IR: HR=1.98, p<0.0001; Matsuda Index: HR=0.46, p<0.0001). Without adjustments, associations of progression to Stage 3 were inverse for HOMA-IR and positive for Matsuda Index, opposite in directionality with adjustments. When IGI was used in place of Index60, the findings were similar. CONCLUSIONS/INTERPRETATION Progression to Stages 2 and 3 of type 1 diabetes increases with HOMA-IR and decreases with the Matsuda Index after adjustments for insulin secretion. Indicators of insulin secretion appear helpful for interpreting associations of progression to type 1 diabetes with HOMA-IR or the Matsuda Index in AAb-positive relatives.
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Affiliation(s)
| | - Federica Cugnata
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Debora Carnovale
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Ingrid M Libman
- Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Lorenzo Piemonti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - David Cuthbertson
- Health Informatics Institute, University of South Florida, Tampa, FL, USA
| | - Jay M Sosenko
- Division of Endocrinology, Diabetes, and Metabolism, University of Miami, Miami, FL, USA
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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3
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Russell WE, Bundy BN, Anderson MS, Cooney LA, Gitelman SE, Goland RS, Gottlieb PA, Greenbaum CJ, Haller MJ, Krischer JP, Libman IM, Linsley PS, Long SA, Lord SM, Moore DJ, Moore WV, Moran AM, Muir AB, Raskin P, Skyler JS, Wentworth JM, Wherrett DK, Wilson DM, Ziegler AG, Herold KC. Abatacept for Delay of Type 1 Diabetes Progression in Stage 1 Relatives at Risk: A Randomized, Double-Masked, Controlled Trial. Diabetes Care 2023; 46:1005-1013. [PMID: 36920087 PMCID: PMC10154649 DOI: 10.2337/dc22-2200] [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: 11/13/2022] [Accepted: 02/02/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVE Previous studies showed that inhibiting lymphocyte costimulation reduces declining β-cell function in individuals newly diagnosed with type 1 diabetes. We tested whether abatacept would delay or prevent progression of type 1 diabetes from normal glucose tolerance (NGT) to abnormal glucose tolerance (AGT) or to diabetes and the effects of treatment on immune and metabolic responses. RESEARCH DESIGN AND METHODS We conducted a phase 2, randomized, placebo-controlled, double-masked trial of abatacept in antibody-positive participants with NGT who received monthly abatacept/placebo infusions for 12 months. The end point was AGT or diabetes, assessed by oral glucose tolerance tests. RESULTS A total of 101 participants received abatacept and 111 placebo. Of these, 81 (35 abatacept and 46 placebo) met the end point of AGT or type 1 diabetes diagnosis (hazard ratio 0.702; 95% CI 0.452, 1.09; P = 0.11) The C-peptide responses to oral glucose tolerance tests were higher in the abatacept arm (P < 0.03). Abatacept reduced the frequency of inducible T-cell costimulatory (ICOS)+ PD1+ T-follicular helper (Tfh) cells during treatment (P < 0.0001), increased naive CD4+ T cells, and also reduced the frequency of CD4+ regulatory T cells (Tregs) from the baseline (P = 0.0067). Twelve months after treatment, the frequency of ICOS+ Tfh, naive CD4+ T cells, and Tregs returned to baseline. CONCLUSIONS Although abatacept treatment for 1 year did not significantly delay progression to glucose intolerance in at-risk individuals, it impacted immune cell subsets and preserved insulin secretion, suggesting that costimulation blockade may modify progression of type 1 diabetes.
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Affiliation(s)
- William E. Russell
- Departments of Pediatrics and Cell & Developmental Biology, Vanderbilt University Medical Center, Nashville, TN
| | - Brian N. Bundy
- Health Informatics Institute, University of South Florida, Tampa, FL
| | - Mark S. Anderson
- Department of Medicine, University of California, San Francisco, San Francisco, CA
- Immune Tolerance Network, Seattle, WA
| | | | | | - Robin S. Goland
- Departments of Medicine and Pediatrics, Columbia University, New York, NY
| | | | | | | | | | | | | | | | | | - Daniel J. Moore
- Departments of Pediatrics and Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN
| | | | | | | | | | - Jay S. Skyler
- Department of Medicine, University of Miami, Miami, FL
| | - John M. Wentworth
- Royal Melbourne Hospital and The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
| | - Diane K. Wherrett
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | | | - Anette-Gabriele Ziegler
- Forschergruppe Diabetes, Technical University Munich at Klinikum rechts der Isar, Munich, Germany
- Institute for Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
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4
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March CA, Nanni M, Lutz J, Kavanaugh M, Jeong K, Siminerio LM, Rothenberger S, Miller E, Libman IM. Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring. Pediatr Diabetes 2023; 2023:8176606. [PMID: 37929231 PMCID: PMC10623999 DOI: 10.1155/2023/8176606] [Citation(s) in RCA: 0] [Impact Index Per Article: 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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
Objective Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time. Methods We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school. Results Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school. Conclusion Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.
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Affiliation(s)
| | - Michelle Nanni
- School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - James Lutz
- School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA
| | - Madison Kavanaugh
- Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Kwonho Jeong
- Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA
| | | | - Scott Rothenberger
- Center for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Elizabeth Miller
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA
| | - Ingrid M Libman
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA
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5
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March CA, Libman IM, Becker DJ, Levitsky LL. From Antiquity to Modern Times: A History of Diabetes Mellitus and Its Treatments. Horm Res Paediatr 2022; 95:593-607. [PMID: 36446320 DOI: 10.1159/000526441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 08/07/2022] [Indexed: 12/03/2022] Open
Abstract
The past 200 years have brought an understanding of diabetes and its pathogenesis, as well as the development of treatments that could not have been predicted when the disorder was first clinically described 2000 years ago. Beginning in the late 19th century, the initial descriptions of the microscopic anatomy of the pancreatic islets by Langerhans led to recognition of pancreatic endocrine function. Many investigators attempted to isolate the hypoglycemic factor produced by the pancreas, but Banting, Best, Macleod, and Collip were able to extract and purify "isletin" to treat human diabetes in 1921. Rapid scientific progress over the next 100 years led to an understanding of insulin synthesis, structure and function, production of modified synthetic insulins, and the physiopathology that permitted classification of diabetes subtypes. Improvements in control of diabetes have reduced the risks of complications. In less than two hundred years, we have gone from being unable to measure glucose in blood to being able to offer people with diabetes continuous blood glucose monitoring, linked to continuous subcutaneous insulin infusion. We come ever closer with new drugs and treatments to repair the biochemical defects in type 2 diabetes and to biologically replace islets and their function in type 1 diabetes. This review addresses the history of continuing progress in diabetes care.
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Affiliation(s)
- Christine A March
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ingrid M Libman
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Dorothy J Becker
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lynne L Levitsky
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
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6
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March CA, Siminerio LM, Muzumdar RH, Libman IM. Implications of the School Day on Health Behaviors for Children With Type 1 Diabetes: A Survey of Parent Perspectives During the COVID-19 Pandemic. Sci Diabetes Self Manag Care 2021; 47:447-456. [PMID: 34935539 DOI: 10.1177/26350106211051298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE The purpose of this study is to survey parents of youth with type 1 diabetes during the COVID-19 pandemic with school closures to better understand the implications of the school day on health care behaviors. METHODS A cross-sectional, online survey was distributed to parents of youth with type 1 diabetes ≤19 years of age in a large, academic diabetes center. Questions encompassed perceived changes in management behaviors and plans for return to school. Subgroup analysis compared parent responses by child's age, reported stressors, and socioeconomic markers. RESULTS Parents reported a worsening in their child's diabetes health behaviors during school closures compared to what they perceived during a regular school day before the pandemic. More than half of parents reported feeling that their child was unable to maintain a normal routine, with particular implications for snacking between meals, daily physical activity, and sleep habits. Families with adolescents or those experiencing multiple pandemic-related stressors reported greater challenges. In open-ended responses, families highlighted difficulty in balancing school, work, and diabetes care and expressed concerns about the mental health repercussions of school closures for their children. Nearly half of parents reported being at least moderately worried about return to school, whereas only a minority reported seeking guidance from their diabetes provider. CONCLUSIONS Parent-reported disruptions of school-day routines frequently had adverse consequences for diabetes management in this population. These findings highlight the importance of a school-day routine for children with type 1 diabetes; during closures, families may benefit from mitigating strategies to maintain effective habits.
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Affiliation(s)
- Christine A March
- Division of Pediatric Endocrinology and Diabetes, UPMC Children's Hospital of Pittsburgh and University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Linda M Siminerio
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Radhika H Muzumdar
- Division of Pediatric Endocrinology and Diabetes, UPMC Children's Hospital of Pittsburgh and University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ingrid M Libman
- Division of Pediatric Endocrinology and Diabetes, UPMC Children's Hospital of Pittsburgh and University of Pittsburgh, Pittsburgh, Pennsylvania
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7
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Abstract
OBJECTIVE Although the importance of stakeholder engagement (SE) for patient-centered research is recognized, few studies document SE processes and influence on research outcomes in the diabetes field. We applied a research-informed framework to evaluate the impact of SE on a pediatric diabetes study exploring school nurse perspectives on modern diabetes devices. METHODS We recruited parents of children with type 1 diabetes, school nurses, and diabetes providers. Stakeholders convened virtually every 2 months for 12 months. Goals for SE included input on research materials, interpretation of findings, and future research directions. Processes were assessed using a validated survey. Immediate outcomes included changes to research materials and satisfaction. Secondary outcomes included research efficiency and value (acceptance by community partners). RESULTS Each role was represented at every meeting. The majority of stakeholders (>70%) completed the survey at study midpoint and end points. All surveyed indicated that they had received all desired information, shared feedback, and felt valued. Stakeholders were satisfied with the meeting frequency. Participants appreciated learning from each other and expressed enthusiasm for continued research participation. They described their role as one of consultant rather than research team members. SE resulted in five additional interview questions. Nearly 70 comments added to the interpretation of qualitative themes. Findings were published within 12 months and recognized by the state school nursing organization. CONCLUSION SE was well received and led to meaningful changes in content and dissemination of a diabetes study. A systematic approach to evaluating SE can increase scientific rigor and reproducibility and contribute to best practices for SE in diabetes research.
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Affiliation(s)
- Christine A. March
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
- Corresponding author: Christine A. March,
| | - Traci M. Kazmerski
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Christine Moon
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Ingrid M. Libman
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Elizabeth Miller
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
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8
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Redondo MJ, Warnock MV, Libman IM, Bocchino LE, Cuthbertson D, Geyer S, Pugliese A, Steck AK, Evans-Molina C, Becker D, Sosenko JM, Bacha F. TCF7L2 Genetic Variants Do Not Influence Insulin Sensitivity or Secretion Indices in Autoantibody-Positive Individuals at Risk for Type 1 Diabetes. Diabetes Care 2021; 44:2039-2044. [PMID: 34326068 PMCID: PMC8740915 DOI: 10.2337/dc21-0531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/10/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We aimed to test whether type 2 diabetes (T2D)-associated TCF7L2 genetic variants affect insulin sensitivity or secretion in autoantibody-positive relatives at risk for type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We studied autoantibody-positive TrialNet Pathway to Prevention study participants (N = 1,061) (mean age 16.3 years) with TCF7L2 single nucleotide polymorphism (SNP) information and baseline oral glucose tolerance test (OGTT) to calculate indices of insulin sensitivity and secretion. With Bonferroni correction for multiple comparisons, P values < 0.0086 were considered statistically significant. RESULTS None, one, and two T2D-linked TCF7L2 alleles were present in 48.1%, 43.9%, and 8.0% of the participants, respectively. Insulin sensitivity (as reflected by 1/fasting insulin [1/IF]) decreased with increasing BMI z score and was lower in Hispanics. Insulin secretion (as measured by 30-min C-peptide index) positively correlated with age and BMI z score. Oral disposition index was negatively correlated with age, BMI z score, and Hispanic ethnicity. None of the indices were associated with TCF7L2 SNPs. In multivariable analysis models with age, BMI z score, ethnicity, sex, and TCF7L2 alleles as independent variables, C-peptide index increased with age, while BMI z score was associated with higher insulin secretion (C-peptide index), lower insulin sensitivity (1/IF), and lower disposition index; there was no significant effect of TCF7L2 SNPs on any of these indices. When restricting the analyses to participants with a normal OGTT (n = 743; 70%), the results were similar. CONCLUSIONS In nondiabetic autoantibody-positive individuals, TCF7L2 SNPs were not related to insulin sensitivity or secretion indices after accounting for BMI z score, age, sex, and ethnicity.
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Affiliation(s)
- Maria J Redondo
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX
| | | | | | - Laura E Bocchino
- University of South Florida, Tampa, FL.,Jaeb Center for Health Research, Tampa, FL
| | | | - Susan Geyer
- University of South Florida, Tampa, FL.,Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | | | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Carmella Evans-Molina
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN
| | | | - Jay M Sosenko
- Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL
| | - Fida Bacha
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX.,Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX
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March CA, Becker DJ, Libman IM. Nutrition and Obesity in the Pathogenesis of Youth-Onset Type 1 Diabetes and Its Complications. Front Endocrinol (Lausanne) 2021; 12:622901. [PMID: 33828529 PMCID: PMC8021094 DOI: 10.3389/fendo.2021.622901] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/15/2021] [Indexed: 12/15/2022] Open
Abstract
Since the 1980s, there has been a dramatic rise in the prevalence of overweight and obesity in pediatric populations, in large part driven by sedentary lifestyles and changing dietary patterns with more processed foods. In parallel with the rise in pediatric obesity in the general population, the prevalence of overweight and obesity has increased among children and adolescents with type 1 diabetes. Adiposity has been implicated in a variety of mechanisms both potentiating the risk for type 1 diabetes as well as exacerbating long-term complications, particularly cardiovascular disease. Treatment options targeting the unique needs of obese pediatric patients, both before and after diagnosis of type 1 diabetes, are limited. In this review, we discuss the history of the epidemiology of the obesity epidemic in the context of pediatric type 1 diabetes, highlight the possible role of obesity in type 1 diabetes pathogenesis and review the concept of "double diabetes". The impact of obesity at and after diagnosis will be discussed, including noted differences in clinical and biochemical markers, lipid abnormalities, and long-term cardiovascular complications. Finally, we will review the existing literature on pharmacologic and nutritional interventions as potential treatment strategies for youth with coexisting type 1 diabetes and obesity.
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March CA, Flint A, DeArment D, Gilliland A, Kelly K, Rizzitano E, Chrisman A, Muzumdar RH, Libman IM. Paediatric diabetes care during the COVID-19 pandemic: Lessons learned in scaling up telemedicine services. Endocrinol Diabetes Metab 2020; 4:e00202. [PMID: 33349799 PMCID: PMC7744857 DOI: 10.1002/edm2.202] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/14/2020] [Accepted: 10/13/2020] [Indexed: 12/22/2022]
Affiliation(s)
- Christine A March
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Amanda Flint
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Diana DeArment
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Amy Gilliland
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Karen Kelly
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Ernesto Rizzitano
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Aaron Chrisman
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Radhika H Muzumdar
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
| | - Ingrid M Libman
- Division of Pediatric Endocrinology, Metabolism, and Diabetes UPMC Children's Hospital of Pittsburgh Pittsburgh PA USA
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Ismail HM, Cleves MA, Xu P, Libman IM, Becker DJ, Marks JB, Skyler JS, Palmer JP, Sosenko JM. The Pathological Evolution of Glucose Response Curves During the Progression to Type 1 Diabetes in the TrialNet Pathway to Prevention Study. Diabetes Care 2020; 43:2668-2674. [PMID: 32900788 PMCID: PMC7576415 DOI: 10.2337/dc20-0701] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 07/27/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Glucose response curves (GRCs) during oral glucose tolerance tests (OGTTs) are predictive of type 1 diabetes. We performed a longitudinal analysis in pancreatic autoantibody-positive individuals to assess 1) characteristic GRC changes during progression to type 1 diabetes and 2) GRC changes in relation to β-cell function changes and to combined glucose and C-peptide response curve (GCRC) changes. RESEARCH DESIGN AND METHODS Among antibody-positive individuals with serial OGTTs in the TrialNet Pathway to Prevention study, GRC changes from first to last OGTTs were compared between progressors (n = 298) to type 1 diabetes and nonprogressors (n = 2,216). GRC changes from last OGTT before diagnosis to diagnostic OGTTs were studied in progressors. RESULTS GRCs changed more frequently from biphasic (two peaks) to monophasic (one peak) GRCs between first and last OGTTs in progressors than in nonprogressors (75.4% vs. 51.0%, respectively; P < 0.001). In contrast, GRCs of progressors changed less frequently from monophasic to biphasic than those of nonprogressors (12.6% vs. 30.6%; P < 0.001). Monotonic (continuous increase) GRCs were present in 47.7% of progressors at diagnosis. The early (30-0 min) C-peptide response decreased in progressors with GRCs changing from biphasic to monophasic between first and last OGTTs (P < 0.001) and from monophasic to monotonic between last and diagnostic OGTTs (P < 0.001). Conversely, the early C-peptide response increased among nonprogressors with GRCs changing from monophasic to biphasic (P < 0.001). Changes in GRCs were related to changes in GCRCs. CONCLUSIONS Characteristic GRC changes, biphasic to monophasic to monotonic, occur during the progression to type 1 diabetes. These GRC changes correspond to decreasing β-cell function.
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Affiliation(s)
- Heba M Ismail
- Division of Endocrinology and Diabetology, Department of Pediatrics, Indiana University, Indianapolis, IN
| | - Mario A Cleves
- Pediatrics Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL
| | - Ping Xu
- Pediatrics Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL
| | - Ingrid M Libman
- Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Dorothy J Becker
- Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Jennifer B Marks
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Jay S Skyler
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Jerry P Palmer
- VA Puget Sound Health Care System, Seattle, WA.,Department of Medicine, University of Washington, Seattle, WA
| | - Jay M Sosenko
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
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March CA, Nanni M, Kazmerski TM, Siminerio LM, Miller E, Libman IM. Modern diabetes devices in the school setting: Perspectives from school nurses. Pediatr Diabetes 2020; 21:832-840. [PMID: 32249474 PMCID: PMC7682111 DOI: 10.1111/pedi.13015] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/25/2020] [Accepted: 03/31/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To explore the experiences, practices, and attitudes of school nurses related to modern diabetes devices (insulin pumps, continuous glucose monitors, and hybrid-closed loop systems). RESEARCH DESIGN AND METHODS Semistructured interviews were conducted with 40 public school nurses caring for children in elementary and middle schools. Developed with stakeholder input, the interview questions explored experiences working with devices and communicating with the health care system. Deidentified transcripts were analyzed through an iterative process of coding to identify major themes. RESULTS School nurses reported a range of educational backgrounds (58% undergraduate, 42% graduate), geographic settings (20% urban, 55% suburban, 25% rural), and years of experience (20% <5 years, 38%, 5-15 years, 42% >15 years). Four major themes emerged: (a) As devices become more common, school nurses must quickly develop new knowledge and skills yet have inconsistent training opportunities; (b) Enthusiasm for devices is tempered by concerns about implementation due to poor planning prior to the school year and potential disruptions by remote monitors; (c) Barriers exist to integrating devices into schools, including school/classroom policies, liability/privacy concerns, and variable staff engagement; and (d) Collaboration between school nurses and providers is limited; better communication may benefit children with diabetes. CONCLUSIONS Devices are increasingly used by school-aged children. School nurses appreciate device potential but share structural and individual-level challenges. Guiding policy is needed as the technology progressively becomes standard of care. Enhanced training and collaboration with diabetes providers may help to optimize school-based management for children in the modern era.
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Affiliation(s)
- Christine A. March
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michelle Nanni
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Traci M. Kazmerski
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Linda M. Siminerio
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Elizabeth Miller
- Division of Adolescent and Young Adult Medicine, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ingrid M. Libman
- Division of Pediatric Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
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Ferrara-Cook C, Geyer SM, Evans-Molina C, Libman IM, Becker DJ, Gitelman SE, Redondo MJ. Excess BMI Accelerates Islet Autoimmunity in Older Children and Adolescents. Diabetes Care 2020; 43:580-587. [PMID: 31937610 PMCID: PMC7035590 DOI: 10.2337/dc19-1167] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 12/14/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Sustained excess BMI increases the risk of type 1 diabetes (T1D) in autoantibody-positive relatives without diabetes of patients. We tested whether elevated BMI also accelerates the progression of islet autoimmunity before T1D diagnosis. RESEARCH DESIGN AND METHODS We studied 706 single autoantibody-positive pediatric TrialNet participants (ages 1.6-18.6 years at baseline). Cumulative excess BMI (ceBMI) was calculated for each participant based on longitudinally accumulated BMI ≥85th age- and sex-adjusted percentile. Recursive partitioning analysis and multivariable modeling defined the age cut point differentiating the risk for progression to multiple positive autoantibodies. RESULTS At baseline, 175 children (25%) had a BMI ≥85th percentile. ceBMI range was -9.2 to 15.6 kg/m2 (median -1.91), with ceBMI ≥0 kg/m2 corresponding to persistently elevated BMI ≥85th percentile. Younger age increased the progression to multiple autoantibodies, with age cutoff of 9 years defined by recursive partitioning analysis. Although ceBMI was not significantly associated with progression from single to multiple autoantibodies overall, there was an interaction with ceBMI ≥0 kg/m2, age, and HLA (P = 0.009). Among children ≥9 years old without HLA DR3-DQ2 and DR4-DQ8, ceBMI ≥0 kg/m2 increased the rate of progression from single to multiple positive autoantibodies (hazard ratio 7.32, P = 0.004) and conferred a risk similar to that in those with T1D-associated HLA haplotypes. In participants <9 years old, the effect of ceBMI on progression to multiple autoantibodies was not significant regardless of HLA type. CONCLUSIONS These data support that elevated BMI may exacerbate islet autoimmunity prior to clinical T1D, particularly in children with lower risk based on age and HLA. Interventions to maintain normal BMI may prevent or delay the progression of islet autoimmunity.
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Affiliation(s)
| | | | | | - Ingrid M Libman
- Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Dorothy J Becker
- Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA
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Long AE, Wilson IV, Becker DJ, Libman IM, Arena VC, Wong FS, Steck AK, Rewers MJ, Yu L, Achenbach P, Casas R, Ludvigsson J, Williams AJK, Gillespie KM. Characteristics of slow progression to diabetes in multiple islet autoantibody-positive individuals from five longitudinal cohorts: the SNAIL study. Diabetologia 2018; 61. [PMID: 29532109 PMCID: PMC6449004 DOI: 10.1007/s00125-018-4591-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
AIMS/HYPOTHESIS Multiple islet autoimmunity increases risk of diabetes, but not all individuals positive for two or more islet autoantibodies progress to disease within a decade. Major islet autoantibodies recognise insulin (IAA), GAD (GADA), islet antigen-2 (IA-2A) and zinc transporter 8 (ZnT8A). Here we describe the baseline characteristics of a unique cohort of 'slow progressors' (n = 132) who were positive for multiple islet autoantibodies (IAA, GADA, IA-2A or ZnT8A) but did not progress to diabetes within 10 years. METHODS Individuals were identified from five studies (BABYDIAB, Germany; Diabetes Autoimmunity Study in the Young [DAISY], USA; All Babies in Southeast Sweden [ABIS], Sweden; Bart's Oxford Family Study [BOX], UK and the Pittsburgh Family Study, USA). Multiple islet autoantibody characteristics were determined using harmonised assays where possible. HLA class II risk was compared between slow progressors and rapid progressors (n = 348 diagnosed <5 years old from BOX) using the χ2 test. RESULTS In the first available samples with detectable multiple antibodies, the most frequent autoantibodies were GADA (92%), followed by ZnT8A (62%), IAA (59%) and IA-2A (41%). High risk HLA class II genotypes were less frequent in slow (28%) than rapid progressors (42%, p = 0.011), but only two slow progressors carried the protective HLA DQ6 allele. CONCLUSION No distinguishing characteristics of slow progressors at first detection of multiple antibodies have yet been identified. Continued investigation of these individuals may provide insights into slow progression that will inform future efforts to slow or prevent progression to clinical diabetes.
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Affiliation(s)
- Anna E Long
- Translational Health Sciences, Bristol Medical School, University of Bristol, Level 2, Learning and Research, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Isabel V Wilson
- Translational Health Sciences, Bristol Medical School, University of Bristol, Level 2, Learning and Research, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Dorothy J Becker
- Division of Endocrinology and Diabetes, Children's Hospital of University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ingrid M Libman
- Division of Endocrinology and Diabetes, Children's Hospital of University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Vincent C Arena
- Division of Endocrinology and Diabetes, Children's Hospital of University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - F Susan Wong
- Division of Infection and Immunity, Cardiff School of Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - Andrea K Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Marian J Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Liping Yu
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
| | - Rosaura Casas
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Johnny Ludvigsson
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Alistair J K Williams
- Translational Health Sciences, Bristol Medical School, University of Bristol, Level 2, Learning and Research, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Kathleen M Gillespie
- Translational Health Sciences, Bristol Medical School, University of Bristol, Level 2, Learning and Research, Southmead Hospital, Bristol, BS10 5NB, UK.
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Sosenko JM, Geyer S, Skyler JS, Rafkin LE, Ismail HM, Libman IM, Liu YF, DiMeglio LA, Evans-Molina C, Palmer JP. The influence of body mass index and age on C-peptide at the diagnosis of type 1 diabetes in children who participated in the diabetes prevention trial-type 1. Pediatr Diabetes 2018; 19:403-409. [PMID: 29171129 PMCID: PMC5918232 DOI: 10.1111/pedi.12609] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 09/07/2017] [Accepted: 10/17/2017] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND/OBJECTIVE The extent of influence of BMI and age on C-peptide at the diagnosis of type 1 diabetes (T1D) is unknown. We thus studied the impact of body mass index Z-scores (BMIZ) and age on C-peptide measures at and soon after the diagnosis of T1D. METHODS Data from Diabetes Prevention Trial-Type 1 (DPT-1) participants <18.0 years at diagnosis was analyzed. Analyses examined associations of C-peptide measures with BMIZ and age in 2 cohorts: oral glucose tolerance tests (OGTTs) at diagnosis (n = 99) and mixed meal tolerance tests (MMTTs) <6 months after diagnosis (n = 80). Multivariable linear regression was utilized. RESULTS Fasting and area under the curve (AUC) C-peptide from OGTTs (n = 99) at diagnosis and MMTTs (n = 80) after diagnosis were positively associated with BMIZ and age (P < .001 for all). Associations persisted when BMIZ and age were included as independent variables in regression models (P < .001 for all). BMIZ and age explained 31%-47% of the variance of C-peptide measures. In an example, 2 individuals with identical AUC C-peptide values had an approximate 5-fold difference in values after adjustments for BMIZ and age. The association between fasting glucose and C-peptide decreased markedly when fasting C-peptide values were adjusted (r = 0.30, P < .01 to r = 0.07, n.s.). CONCLUSIONS C-peptide measures are strongly and independently related to BMIZ and age at and soon after the diagnosis of T1D. Adjustments for BMIZ and age cause substantial changes in C-peptide values, and impact the association between glycemia and C-peptide. Such adjustments can improve assessments of β-cell impairment at diagnosis.
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Affiliation(s)
- Jay M. Sosenko
- Division of Endocrinology; University of Miami; Miami, FL 33101
| | - Susan Geyer
- Health Informatics Institute; University of South Florida; Tampa, Florida 33612
| | - Jay S. Skyler
- Division of Endocrinology; University of Miami; Miami, Florida 33101
| | - Lisa E. Rafkin
- Division of Endocrinology; University of Miami; Miami, Florida 33101
| | - Heba M. Ismail
- Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and Children’s Hospital of Pittsburgh of UPMC; Pittsburgh, PA 15224
| | - Ingrid M. Libman
- Division of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and Children’s Hospital of Pittsburgh of UPMC; Pittsburgh, PA 15224
| | | | - Linda A. DiMeglio
- Section of Pediatric Endocrinology/Diabetology, Indiana University; Indianapolis, Indiana 46202
| | | | - Jerry P. Palmer
- VA Puget Sound Health Care System; Division of Endocrinology, Metabolism, and Nutrition; University of Washington; Seattle, Washington 98108
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Forno E, Han YY, Libman IM, Muzumdar RH, Celedón JC. Adiposity and Asthma in a Nationwide Study of Children and Adults in the United States. Ann Am Thorac Soc 2018; 15:322-330. [PMID: 29144884 PMCID: PMC5880523 DOI: 10.1513/annalsats.201709-723oc] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 09/29/2017] [Accepted: 11/16/2017] [Indexed: 12/28/2022] Open
Abstract
RATIONALE Although obesity has been associated with asthma, body mass index is suboptimal to fully characterize adiposity. OBJECTIVES We examined the relation between adiposity and asthma in a large sample of the U.S. population, using indices defined by dual-energy X-ray absorptiometry. METHODS We analyzed data from 8,886 children (aged 8-19 yr) and 12,795 adults (aged 20-69 yr) from the 2001 to 2006 National Health and Nutrition Examination Survey. In addition to body mass index, percent body fat, waist circumference, and waist-to-height ratio, dual-energy X-ray absorptiometry was used to calculate whole-body and local adiposity indices: fat mass index; total, trunk, and legs percent fat; and trunk-to-total fat mass ratio, legs-to-total fat mass ratio, and trunk-to-legs fat mass ratios. Logistic regression was used for the analysis of adiposity measures and asthma. RESULTS Among children, general adiposity was significantly associated with asthma, with no major differences by sex. Results were driven by nonatopic children, in whom trunk-predominant (central) adiposity (assessed by waist circumference, waist-to-height ratio, trunk-to-total fat mass ratio, and trunk-to-legs fat mass ratio) was also associated with asthma. There were no significant associations among atopic children. Among adults, all adiposity indices were associated with asthma, with central adiposity significant only among women. The results in adults were driven by atopy, especially in women. CONCLUSIONS Adiposity measured by dual-energy X-ray absorptiometry provides similar information to that obtained by using anthropometric indices among children of both sexes and among adult men. However, dual-energy X-ray absorptiometry provides additional information in adult women, in whom dual-energy X-ray absorptiometry-measured central adiposity is significantly associated with asthma, particularly atopic asthma.
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Affiliation(s)
- Erick Forno
- Division of Pediatric Pulmonary Medicine, Allergy, and Immunology, and
| | - Yueh-Ying Han
- Division of Pediatric Pulmonary Medicine, Allergy, and Immunology, and
| | - Ingrid M. Libman
- Division of Pediatric Endocrinology, Children’s Hospital of Pittsburgh of the University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Radhika H. Muzumdar
- Division of Pediatric Endocrinology, Children’s Hospital of Pittsburgh of the University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Juan C. Celedón
- Division of Pediatric Pulmonary Medicine, Allergy, and Immunology, and
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Ismail HM, Xu P, Libman IM, Becker DJ, Marks JB, Skyler JS, Palmer JP, Sosenko JM. The shape of the glucose concentration curve during an oral glucose tolerance test predicts risk for type 1 diabetes. Diabetologia 2018; 61:84-92. [PMID: 28956083 PMCID: PMC5850999 DOI: 10.1007/s00125-017-4453-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [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: 02/21/2017] [Accepted: 08/15/2017] [Indexed: 01/13/2023]
Abstract
AIMS/HYPOTHESIS We aimed to examine: (1) whether specific glucose-response curve shapes during OGTTs are predictive of type 1 diabetes development; and (2) the extent to which the glucose-response curve is influenced by insulin secretion. METHODS Autoantibody-positive relatives of people with type 1 diabetes whose baseline OGTT met the definition of a monophasic or biphasic glucose-response curve were followed for the development of type 1 diabetes (n = 2627). A monophasic curve was defined as an increase in OGTT glucose between 30 and 90 min followed by a decline of ≥ 0.25 mmol/l between 90 and 120 min. A biphasic response curve was defined as a decrease in glucose after an initial increase, followed by a second increase of ≥ 0.25 mmol/l. Associations of type 1 diabetes risk with glucose curve shapes were examined using cumulative incidence curve comparisons and proportional hazards regression. C-peptide responses were compared with and without adjustments for potential confounders. RESULTS The majority of participants had a monophasic curve at baseline (n = 1732 [66%] vs n = 895 [34%]). The biphasic group had a lower cumulative incidence of type 1 diabetes (p < 0.001), which persisted after adjustments for age, sex, BMI z score and number of autoantibodies (p < 0.001). Among the monophasic group, the risk of type 1 diabetes was greater for those with a glucose peak at 90 min than for those with a peak at 30 min; the difference persisted after adjustments (p < 0.001). Compared with the biphasic group, the monophasic group had a lower early C-peptide (30-0 min) response, a lower C-peptide index (30-0 min C-peptide/30-0 min glucose), as well as a greater 2 h C-peptide level (p < 0.001 for all). CONCLUSIONS/INTERPRETATION Those with biphasic glucose curves have a lower risk of progression to type 1 diabetes than those with monophasic curves, and the risk among the monophasic group is increased when the glucose peak occurs at 90 min than at 30 min. Differences in glucose curve shapes between the monophasic and biphasic groups appear to be related to C-peptide responses.
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Affiliation(s)
- Heba M Ismail
- Division of Endocrinology, Diabetes and Metabolism, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center, University of Pittsburgh, 4401 Penn Ave, FP 8129, Pittsburgh, PA, 15224, USA.
| | - Ping Xu
- Pediatrics Epidemiology Center, College of Medicine, University of South Florida, Tampa, FL, USA
| | - Ingrid M Libman
- Division of Endocrinology, Diabetes and Metabolism, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center, University of Pittsburgh, 4401 Penn Ave, FP 8129, Pittsburgh, PA, 15224, USA
| | - Dorothy J Becker
- Division of Endocrinology, Diabetes and Metabolism, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center, University of Pittsburgh, 4401 Penn Ave, FP 8129, Pittsburgh, PA, 15224, USA
| | - Jennifer B Marks
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jay S Skyler
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jerry P Palmer
- VA Puget Sound Health Care System, Division of Endocrinology, Metabolism, and Nutrition, University of Washington, Seattle, WA, USA
| | - Jay M Sosenko
- Division of Endocrinology, Diabetes and Metabolism, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
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Ferrara CT, Geyer SM, Evans-Molina C, Libman IM, Becker DJ, Wentworth JM, Moran A, Gitelman SE, Redondo MJ. The Role of Age and Excess Body Mass Index in Progression to Type 1 Diabetes in At-Risk Adults. J Clin Endocrinol Metab 2017; 102:4596-4603. [PMID: 29092051 PMCID: PMC5718698 DOI: 10.1210/jc.2017-01490] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [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: 06/30/2017] [Accepted: 10/03/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND Given the global rise in both type 1 diabetes incidence and obesity, the role of body mass index (BMI) on type 1 diabetes pathophysiology has gained great interest. Sustained excess BMI in pediatric participants of the TrialNet Pathway to Prevention (PTP) cohort increased risk for progression to type 1 diabetes, but the effects of age and obesity in adults remain largely unknown. OBJECTIVE To determine the effect of age and sustained obesity on the risk for type 1 diabetes in adult participants in the TrialNet PTP cohort (i.e., nondiabetic autoantibody-positive relatives of patients with type 1 diabetes). RESEARCH DESIGN AND METHODS Longitudinally accumulated BMI >25 kg/m2 was calculated to generate a cumulative excess BMI (ceBMI) for each participant, with ceBMI values ≥0 kg/m2 and ≥5 kg/m2 representing sustained overweight or obese status, respectively. Recursive partitioning analysis yielded sex- and age-specific thresholds for ceBMI that confer the greatest risk for type 1 diabetes progression. RESULTS In this cohort of 665 adults (age 20 to 50 years; median follow-up, 3.9 years), 49 participants developed type 1 diabetes. Age was an independent protective factor for type 1 diabetes progression (hazard ratio, 0.95; P = 0.008), with a threshold of >35 years that reduced risk for type 1 diabetes. In men age >35 years and women age <35 years, sustained obesity (ceBMI ≥5 kg/m2) increased the risk for type 1 diabetes. CONCLUSIONS Age is an important factor for type 1 diabetes progression in adults and influences the impact of elevated BMI, indicating an interplay of excess weight, age, and sex in adult type 1 diabetes pathophysiology.
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Affiliation(s)
- Christine T. Ferrara
- Department of Pediatric Endocrinology, University of California at San Francisco, San Francisco, California 94143
| | - Susan M. Geyer
- Department of Informatics and Biostatistics, University of Southern Florida, Tampa, Florida 33620
| | - Carmella Evans-Molina
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana 46202
| | - Ingrid M. Libman
- Department of Pediatric Endocrinology, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania 15224
| | - Dorothy J. Becker
- Department of Pediatric Endocrinology, Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania 15224
| | - John M. Wentworth
- Department of Medicine, Royal Melbourne Hospital, Parkville, Victoria 3050, Australia
| | - Antoinette Moran
- Department of Pediatric Endocrinology, University of Minnesota, Minneapolis, Minnesota 55455
| | - Stephen E. Gitelman
- Department of Pediatric Endocrinology, University of California at San Francisco, San Francisco, California 94143
| | - Maria J. Redondo
- Section of Pediatric Endocrinology, Texas Children’s Hospital, Houston, Texas 77030
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19
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Bjornstad P, Nehus E, El Ghormli L, Bacha F, Libman IM, McKay S, Willi SM, Laffel L, Arslanian S, Nadeau KJ. Insulin Sensitivity and Diabetic Kidney Disease in Children and Adolescents With Type 2 Diabetes: An Observational Analysis of Data From the TODAY Clinical Trial. Am J Kidney Dis 2017; 71:65-74. [PMID: 29157731 DOI: 10.1053/j.ajkd.2017.07.015] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 07/25/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND Diabetic kidney disease is a major cause of premature mortality in type 2 diabetes mellitus (T2DM). Worsening insulin sensitivity independent of glycemic control may contribute to the development of diabetic kidney disease. We investigated the longitudinal association of insulin sensitivity with hyperfiltration and increased albumin excretion in adolescents with T2DM. STUDY DESIGN Observational prospective cohort study. SETTING & PARTICIPANTS 532 TODAY (Treatment Options for Type 2 Diabetes in Adolescents and Youth) participants aged 12 to 17 years with T2DM duration less than 2 years at baseline. The TODAY Study was a multicenter randomized clinical trial that examined the efficacy of 3 treatment regimens (metformin monotherapy, metformin plus rosiglitazone, or metformin plus an intensive lifestyle intervention program) to achieve durable glycemic control. PREDICTORS Natural log-transformed estimated insulin sensitivity (reciprocal of fasting insulin), hemoglobin A1c concentration, age, race-ethnicity, treatment group, body mass index, loss of glycemic control, and hypertension. OUTCOMES Hyperfiltration was defined as 99th percentile or higher of estimated glomerular filtration rate (≥140mL/min/1.73m2) when referenced to healthy adolescents (NHANES 1999-2002) and albumin-creatinine ratio ≥ 30μg/mg at 3 consecutive annual visits. RESULTS Hyperfiltration was observed in 7.0% of participants at baseline and in 13.3% by 5 years, with a cumulative incidence of 5.0% over 5 years. The prevalence of increased albumin excretion was 6% at baseline and 18% by 5 years, with a cumulative incidence of 13.4%. There was an 8% increase in risk for hyperfiltration per 10% lower estimated insulin sensitivity in unadjusted and adjusted models (P=0.01). Increased albumin excretion was associated with hemoglobin A1c concentration, but not estimated insulin sensitivity. LIMITATIONS Longer follow-up is needed to capture the transition from hyperfiltration to rapid glomerular filtration rate decline in youth-onset T2DM. CONCLUSIONS Lower estimated insulin sensitivity was associated with risk for hyperfiltration over time, whereas increased albumin excretion was associated with hyperglycemia in youth-onset T2DM.
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Affiliation(s)
- Petter Bjornstad
- University of Colorado Anschutz Medical Campus and Children's Hospital Colorado, Aurora, CO
| | - Edward Nehus
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Laure El Ghormli
- George Washington University Biostatistics Center, Rockville, MD.
| | - Fida Bacha
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX
| | - Ingrid M Libman
- Children's Hospital University of Pittsburgh Medical Center, Pittsburgh, PA
| | | | - Steven M Willi
- Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | | | - Silva Arslanian
- Children's Hospital University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Kristen J Nadeau
- University of Colorado Anschutz Medical Campus and Children's Hospital Colorado, Aurora, CO
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20
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Ferrara CT, Geyer SM, Liu YF, Evans-Molina C, Libman IM, Besser R, Becker DJ, Rodriguez H, Moran A, Gitelman SE, Redondo MJ. Excess BMI in Childhood: A Modifiable Risk Factor for Type 1 Diabetes Development? Diabetes Care 2017; 40:698-701. [PMID: 28202550 PMCID: PMC5399656 DOI: 10.2337/dc16-2331] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 01/30/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We aimed to determine the effect of elevated BMI over time on the progression to type 1 diabetes in youth. RESEARCH DESIGN AND METHODS We studied 1,117 children in the TrialNet Pathway to Prevention cohort (autoantibody-positive relatives of patients with type 1 diabetes). Longitudinally accumulated BMI above the 85th age- and sex-adjusted percentile generated a cumulative excess BMI (ceBMI) index. Recursive partitioning and multivariate analyses yielded sex- and age-specific ceBMI thresholds for greatest type 1 diabetes risk. RESULTS Higher ceBMI conferred significantly greater risk of progressing to type 1 diabetes. The increased diabetes risk occurred at lower ceBMI values in children <12 years of age compared with older subjects and in females versus males. CONCLUSIONS Elevated BMI is associated with increased risk of diabetes progression in pediatric autoantibody-positive relatives, but the effect varies by sex and age.
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Affiliation(s)
| | | | | | | | | | - Rachel Besser
- Oxford University Hospitals NHS Foundation Trust, Oxford, U.K
| | | | | | - Antoinette Moran
- Department of Pediatric Endocrinology, University of Minnesota Masonic Children's Hospital, Minneapolis, MN
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21
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Garvey KC, Foster NC, Agarwal S, DiMeglio LA, Anderson BJ, Corathers SD, Desimone ME, Libman IM, Lyons SK, Peters AL, Raymond JK, Laffel LM. Health Care Transition Preparation and Experiences in a U.S. National Sample of Young Adults With Type 1 Diabetes. Diabetes Care 2017; 40:317-324. [PMID: 28007779 PMCID: PMC5319474 DOI: 10.2337/dc16-1729] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 12/03/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Young adults with type 1 diabetes transitioning from pediatric to adult care are at risk for adverse outcomes. We developed a survey to evaluate transition experiences in two groups of young adults with type 1 diabetes, before (PEDS) and after (ADULT) transition to adult care. RESEARCH DESIGN AND METHODS We fielded an electronic survey to young adults (18 to <30 years) at 60 T1D Exchange Clinic Registry centers. RESULTS Surveys were completed by 602 young adults, 303 in the PEDS group (60% female, age 20 ± 2 years) and 299 in the ADULT group (62% female, age 24 ± 3 years). In the PEDS group, mean anticipated transition age was 22 ± 2 years; 64% remained in pediatric care because of emotional attachment to the provider. The ADULT group transitioned at age 19 ± 2 years, mainly after pediatric provider recommendation. More than 80% of respondents reported receiving counseling on type 1 diabetes self-management and screening tests from pediatric providers, but less than half (43% PEDS and 33% ADULT) reported discussing reproductive health. In the PEDS group, half had discussed transfer with pediatric providers. Of the ADULT participants, 63% received an adult provider referral, and 66% felt mostly/completely prepared to transition. ADULT participants with fewer pretransition pediatric visits or who felt unprepared for transition had increased odds of gaps >6 months between pediatric and adult care. Receipt of transition preparation counseling was not associated with self-reported hemoglobin A1c <7.0% in either group. CONCLUSIONS These results support the need for intensive efforts to integrate transition preparation counseling and care coordination into pediatric type 1 diabetes care.
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Affiliation(s)
| | | | - Shivani Agarwal
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | | | - Sarah D Corathers
- Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, OH
| | - Marisa E Desimone
- State University of New York Upstate Medical University, Syracuse, NY
| | | | | | - Anne L Peters
- Keck School of Medicine of the University of Southern California, Los Angeles, CA
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Beauchamp G, Boyle CT, Tamborlane WV, Miller KM, Libman IM, Haller MJ, Beck RW. Treatable Diabetic Retinopathy Is Extremely Rare Among Pediatric T1D Exchange Clinic Registry Participants. Diabetes Care 2016; 39:e218-e219. [PMID: 27852686 PMCID: PMC5321251 DOI: 10.2337/dc16-1691] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 09/25/2016] [Indexed: 02/03/2023]
Affiliation(s)
| | | | | | | | - Ingrid M Libman
- Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA
| | | | - Roy W Beck
- Jaeb Center for Health Research, Tampa, FL
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23
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Baldauff NH, Tfayli H, Dong W, Arena VC, Gurtunca N, Pietropaolo M, Becker DJ, Libman IM. Relationship of adiponectin and leptin with autoimmunity in children with new-onset type 1 diabetes: a pilot study. Pediatr Diabetes 2016; 17:249-56. [PMID: 25754190 PMCID: PMC5944363 DOI: 10.1111/pedi.12267] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 12/26/2014] [Accepted: 01/30/2015] [Indexed: 01/17/2023] Open
Abstract
AIM To explore racial differences in adiponectin, and leptin and their relationship with islet autoimmunity in children with new-onset type 1 diabetes (T1D). METHODS Medical records were reviewed from a cohort of new-onset clinically diagnosed T1D subjects matched by race, age, gender, and year of diagnosis. Sera were available for 156 subjects (77 African American (AA), 79 Caucasian (C), 48% male, age of 11.1 ± 3.8 yr) and assayed for adiponectin and leptin prior to (D0), 3, 5 d, and 2-4 months (M3) after insulin therapy and islet autoantibodies to GAD, IA2, insulin, and ICA were measured at onset. RESULTS Adiponectin levels increased significantly following insulin therapy by day 5 (D5) (D0: 13.7 ± 7.2 vs. D5: 21.3 ± 9.9 µg/mL, p < 0.0001), but no further significant increase from D5 to M3. At DO, AA had lower adiponectin levels (10.5 vs. 15.7 µg/mL, p = 0.01), were more often overweight than C (55 vs. 18%, BMI ≥ 85th‰) and fewer had positive autoantibodies (72 vs. 87%, p = 0.05). Racial differences in adipocytokines disappeared after adjustment for BMI. At M3, subjects with more number of positive autoantibodies had higher adiponectin levels (p = 0.043) and adiponectin/leptin ratio (ALR) (p = 0.01), and lower leptin levels (p = 0.016). CONCLUSION Adiponectin levels increased acutely with insulin therapy. Significantly lower adiponectin levels in AA were related to greater adiposity and not race. These pilot data showing those with the fewest autoantibodies had the lowest adiponectin levels, supporting the concept that insulin-resistant subjects may present with clinical T1D at earlier stages of β-cell damage.
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Affiliation(s)
- Natalie Hecht Baldauff
- Pediatric Endocrinology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA USA 15224
| | - Hala Tfayli
- Pediatric Endocrinology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA USA 15224. Currently at the American University of Beirut Medical Center, Department of Pediatrics and Adolescent Medicine
| | - Wenxiu Dong
- Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA USA 15261
| | - Vincent C. Arena
- Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA USA, 15261
| | - Nursen Gurtunca
- Pediatric Endocrinology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA USA 15224
| | - Massimo Pietropaolo
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX 77030
| | - Dorothy J. Becker
- Pediatric Endocrinology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA USA 15224
| | - Ingrid M Libman
- Pediatric Endocrinology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA USA 15224
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24
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Redondo MJ, Foster NC, Libman IM, Mehta SN, Hathway JM, Bethin KE, Nathan BM, Ecker MA, Shah AC, DuBose SN, Tamborlane WV, Hoffman RP, Wong JC, Maahs DM, Beck RW, DiMeglio LA. Prevalence of cardiovascular risk factors in youth with type 1 diabetes and elevated body mass index. Acta Diabetol 2016; 53:271-7. [PMID: 26077171 DOI: 10.1007/s00592-015-0785-1] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 06/02/2015] [Indexed: 01/29/2023]
Abstract
AIM The prevalence of cardiovascular risk factors in children with type 1 diabetes and elevated BMI in the USA is poorly defined. We aimed to test the hypothesis that children with type 1 diabetes who are overweight or obese have increased frequencies of hypertension, dyslipidemia, and micro-/macroalbuminuria compared to their healthy weight peers. METHODS We studied 11,348 children 2 to <18 years of age enrolled in T1D Exchange between September 2010 and August 2012 with type 1 diabetes for ≥1 year and BMI ≥ 5th age-/sex-adjusted percentile (mean age 12 years, 49 % female, 78 % non-Hispanic White). Overweight and obesity were defined based on Centers for Disease Control and Prevention criteria. Diagnoses of hypertension, dyslipidemia, and micro-/macroalbuminuria were obtained from medical records. Logistic and linear regression models were used to assess factors associated with weight status. RESULTS Of the 11,348 participants, 22 % were overweight and 14 % obese. Hypertension and dyslipidemia were diagnosed in 1.0 % and 3.8 % of participants, respectively; micro-/macroalbuminuria was diagnosed in 3.8 % of participants with available data (n = 7,401). The odds of either hypertension or dyslipidemia were higher in obese than healthy weight participants [OR 3.5, 99 % confidence interval (CI) 2.0-6.1 and 2.2, 99 % CI 1.6-3.1, respectively]. Obese participants tended to be diagnosed with micro-/macroalbuminuria less often than healthy weight participants (OR 0.6, 99 % CI 0.4-1.0). CONCLUSIONS Obese children with type 1 diabetes have a higher prevalence of hypertension and dyslipidemia than healthy weight children with type 1 diabetes. The possible association of obesity with lower micro-/macroalbuminuria rates warrants further investigation.
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Affiliation(s)
- Maria J Redondo
- Baylor College of Medicine, 6621 Fannin St, Houston, TX, 77030, USA
| | - Nicole C Foster
- Jaeb Center for Health Research, 15310 Amberly Drive, Suite 350, Tampa, FL, 33647, USA.
| | - Ingrid M Libman
- Children's Hospital of Pittsburgh of UPMC, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA
| | - Sanjeev N Mehta
- Joslin Diabetes Center, 1 Joslin Place, Boston, MA, 02215, USA
| | | | - Kathleen E Bethin
- School of Medicine and Biomedical Sciences at the University at Buffalo, State University of New York, 402 Crofts Hall, Buffalo, NY, 14260, USA
| | - Brandon M Nathan
- University of Minnesota, 516 Delaware St. SE, Minneapolis, MN, USA
| | - Michelle A Ecker
- School of Medicine and Biomedical Sciences at the University at Buffalo, State University of New York, 402 Crofts Hall, Buffalo, NY, 14260, USA
| | - Avni C Shah
- Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, 94305, USA
| | - Stephanie N DuBose
- Jaeb Center for Health Research, 15310 Amberly Drive, Suite 350, Tampa, FL, 33647, USA
| | | | - Robert P Hoffman
- Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH, 43205, USA
| | - Jenise C Wong
- University of California at San Francisco, 513 Parnassus Ave, San Francisco, CA, 94143, USA
| | - David M Maahs
- Barbara Davis Center for Childhood Diabetes, 1775 N. Ursula St, Aurora, CO, 80045, USA
| | - Roy W Beck
- Jaeb Center for Health Research, 15310 Amberly Drive, Suite 350, Tampa, FL, 33647, USA
| | - Linda A DiMeglio
- Indiana University School of Medicine, 702 Barnhill Dr, Indianapolis, IN, 46202, USA
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25
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Libman IM, Miller KM, DiMeglio LA, Bethin KE, Katz ML, Shah A, Simmons JH, Haller MJ, Raman S, Tamborlane WV, Coffey JK, Saenz AM, Beck RW, Nadeau KJ. Effect of Metformin Added to Insulin on Glycemic Control Among Overweight/Obese Adolescents With Type 1 Diabetes: A Randomized Clinical Trial. JAMA 2015; 314:2241-50. [PMID: 26624824 DOI: 10.1001/jama.2015.16174] [Citation(s) in RCA: 118] [Impact Index Per Article: 13.1] [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] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Previous studies assessing the effect of metformin on glycemic control in adolescents with type 1 diabetes have produced inconclusive results. OBJECTIVE To assess the efficacy and safety of metformin as an adjunct to insulin in treating overweight adolescents with type 1 diabetes. DESIGN, SETTING, AND PARTICIPANTS Multicenter (26 pediatric endocrinology clinics), double-blind, placebo-controlled randomized clinical trial involving 140 adolescents aged 12.1 to 19.6 years (mean [SD] 15.3 [1.7] years) with mean type 1 diabetes duration 7.0 (3.3) years, mean body mass index (BMI) 94th (4) percentile, mean total daily insulin 1.1 (0.2) U/kg, and mean HbA1c 8.8% (0.7%). INTERVENTIONS Randomization to receive metformin (n = 71) (≤2000 mg/d) or placebo (n = 69). MAIN OUTCOMES AND MEASURES Primary outcome was change in HbA1c from baseline to 26 weeks adjusted for baseline HbA1c. Secondary outcomes included change in blinded continuous glucose monitor indices, total daily insulin, BMI, waist circumference, body composition, blood pressure, and lipids. RESULTS Between October 2013 and February 2014, 140 participants were enrolled. Baseline HbA1c was 8.8% in each group. At 13-week follow-up, reduction in HbA1c was greater with metformin (-0.2%) than placebo (0.1%; mean difference, -0.3% [95% CI, -0.6% to 0.0%]; P = .02). However, this differential effect was not sustained at 26-week follow up when mean change in HbA1c from baseline was 0.2% in each group (mean difference, 0% [95% CI, -0.3% to 0.3%]; P = .92). At 26-week follow-up, total daily insulin per kg of body weight was reduced by at least 25% from baseline among 23% (16) of participants in the metformin group vs 1% (1) of participants in the placebo group (mean difference, 21% [95% CI, 11% to 32%]; P = .003), and 24% (17) of participants in the metformin group and 7% (5) of participants in the placebo group had a reduction in BMI z score of 10% or greater from baseline to 26 weeks (mean difference, 17% [95% CI, 5% to 29%]; P = .01). Gastrointestinal adverse events were reported by more participants in the metformin group than in the placebo group (mean difference, 36% [95% CI, 19% to 51%]; P < .001). CONCLUSIONS AND RELEVANCE Among overweight adolescents with type 1 diabetes, the addition of metformin to insulin did not improve glycemic control after 6 months. Of multiple secondary end points, findings favored metformin only for insulin dose and measures of adiposity; conversely, use of metformin resulted in an increased risk for gastrointestinal adverse events. These results do not support prescribing metformin to overweight adolescents with type 1 diabetes to improve glycemic control. TRIAL REGISTRATION clinicaltrials.org Identifier: NCT01881828.
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Affiliation(s)
- Ingrid M Libman
- Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania
| | | | | | - Kathleen E Bethin
- University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
| | | | - Avni Shah
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | - Roy W Beck
- Jaeb Center for Health Research, Tampa, Florida
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Abstract
Hyponatremia has been reported in the elderly with hypothyroidism and myxedema, but this has not been a universal finding in clinical studies and there have been only a few reports in children. We report a case of an infant who developed hyponatremia due to severe primary hypothyroidism. A 4-month-old ex-preterm male, who had been euthyroid on the newborn screen, developed unexplained hospital-acquired hyponatremia (serum Na 124 mEq/L) while on full oral feeds. He was euvolemic, appeared well and was without myxedema. An evaluation of hyponatremia was negative with the exception of severe primary hypothyroidism (TSH 315.4 IU/mL, repeat 540 IU/mL). The hyponatremia resolved with thyroxine supplementation. This case demonstrates that severe hypothyroidism can result in hyponatremia in infants. It is critical to consider hypothyroidism in the evaluation of an infant with unexplained hyponatremia as untreated hypothyroidism can lead to profound developmental delays.
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Affiliation(s)
- Nickolas T Agathis
- Texas Children's Hospital, Baylor College of Medicine , Houston, TX , USA
| | - Ingrid M Libman
- Children's Hospital of Pittsburgh of UPMC, The University of Pittsburgh School of Medicine , Pittsburgh, PA , USA
| | - Michael L Moritz
- Children's Hospital of Pittsburgh of UPMC, The University of Pittsburgh School of Medicine , Pittsburgh, PA , USA
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27
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Cedillo M, Libman IM, Arena VC, Zhou L, Trucco M, Ize-Ludlow D, Pietropaolo M, Becker DJ. Obesity, islet cell autoimmunity, and cardiovascular risk factors in youth at onset of type 1 autoimmune diabetes. J Clin Endocrinol Metab 2015; 100:E82-6. [PMID: 25250632 PMCID: PMC4283021 DOI: 10.1210/jc.2014-2340] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT The current increase in childhood type 1 diabetes (T1D) and obesity has led to two conflicting hypotheses and conflicting reports regarding the effects of overweight on initiation and spreading of islet cell autoimmunity vs earlier clinical manifestation of preexisting autoimmune β-cell damage driven by excess weight. OBJECTIVE The objective of the study was to address the question of whether the degree of β-cell autoimmunity and age are related to overweight at diabetes onset in a large cohort of T1D youth. DESIGN This was a prospective cross-sectional study of youth with autoimmune T1D consecutively recruited at diabetes onset. SETTING The study was conducted at a regional academic pediatric diabetes center. PATIENTS Two hundred sixty-three consecutive children younger than 19 years at onset of T1D participated in the study. MAIN OUTCOME MEASURES Relationships between body mass index and central obesity (waist circumference and waist to height ratio) and antigen spreading (islet cell autoantibody number), age, and cardiovascular (CVD) risk factors examined at onset and/or 3 months after the diagnosis were measured. RESULTS There were no significant associations between number of autoantibodies with measures of adiposity. Age relationships revealed that a greater proportion of those with central obesity (21%) were in the youngest age group (0-4 y) compared with those without central obesity (6%) (P = .001). PATIENTS with central obesity had increased CVD risk factors and higher onset C-peptide levels (P < .05). CONCLUSIONS No evidence was found to support the concept that obesity accelerates progression of autoantibody spreading once autoimmunity, marked by standard islet cell autoantibody assays, is present. Central obesity was present in almost one-third of the subjects and was associated with early CVD risk markers already at onset.
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Abstract
CONTENT Orchestrating a seamless transition from pediatric to adult care can be a daunting task in caring for youth with diabetes mellitus. This clinical review focuses on physical and psychosocial aspects affecting the care of adolescents and young adults with diabetes, evaluates how these aspects can be barriers in the process of transitioning these patients to adult diabetes care, and provides clinical approaches to optimizing the transition process in order to improve diabetes care and outcomes. EVIDENCE ACQUISITION AND SYNTHESIS A PubMed search identified articles related to transition to adult diabetes care and physical and psychosocial assessment of adolescents with diabetes. An Internet search for transition of diabetes care identified online transition resources. The synthesis relied on the cumulative experience of the authors. We identify barriers to successful transition and provide a checklist for streamlining the process. CONCLUSIONS Key points in the transition to adult diabetes care include: 1) starting the process at least 1 year before the anticipated transition; 2) assessing individual patients' readiness and preparedness for adult care; 3) providing guidance and education to the patient and family; 4) utilizing transition guides and resources; and 5) maintaining open lines of communication between the pediatric and adult providers. No current single approach is effective for all patients. Challenges remain in successful transition to avoid short- and long-term complications of diabetes mellitus.
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Affiliation(s)
- Sarah K Lyons
- Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, Division of Pediatric Endocrinology, 4401 Penn Avenue (FP 8139) Pittsburgh, PA 15224-1334.
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Wood JR, Miller KM, Maahs DM, Beck RW, DiMeglio LA, Libman IM, Quinn M, Tamborlane WV, Woerner SE. Most youth with type 1 diabetes in the T1D Exchange Clinic Registry do not meet American Diabetes Association or International Society for Pediatric and Adolescent Diabetes clinical guidelines. Diabetes Care 2013; 36:2035-7. [PMID: 23340893 PMCID: PMC3687259 DOI: 10.2337/dc12-1959] [Citation(s) in RCA: 315] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the proportion of youth with type 1 diabetes under the care of pediatric endocrinologists in the United States meeting targets for HbA1c, blood pressure (BP), BMI, and lipids. RESEARCH DESIGN AND METHODS Data were evaluated for 13,316 participants in the T1D Exchange clinic registry younger than 20 years old with type 1 diabetes for ≥1 year. RESULTS American Diabetes Association HbA1c targets of <8.5% for those younger than 6 years, <8.0% for those 6 to younger than 13 years old, and <7.5% for those 13 to younger than 20 years old were met by 64, 43, and 21% of participants, respectively. The majority met targets for BP and lipids, and two-thirds met the BMI goal of <85th percentile. CONCLUSIONS Most children with type 1 diabetes have HbA1c values above target levels. Achieving American Diabetes Association goals remains a significant challenge for the majority of youth in the T1D Exchange registry.
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Affiliation(s)
- Jamie R Wood
- Children's Hospital Los Angeles, Los Angeles, California, USA
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30
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Libman IM, Barinas-Mitchell E, Marcovina S, Bacha F, Hannon T, Tfayli H, Lee SJ, Bansal S, Robertson R, Arslanian S. β-cell autoimmunity in overweight non-diabetic youth: any implications? Pediatr Diabetes 2011; 12:207-11. [PMID: 21518410 PMCID: PMC3425606 DOI: 10.1111/j.1399-5448.2010.00697.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The presence of β-cell antibodies is associated with a high risk of type 1 diabetes. With increasing rates of obesity, the distinction between obese T1DM and T2DM has become difficult. Moreover, increasing body mass index (BMI) in at-risk children has been proposed not only as a possible contributor to T1DM by increasing insulin resistance, but also as exerting an effect via the immunomodulatory properties of certain adipokines. This study aimed to determine prevalence of β-cell autoantibodies (AA) in overweight non-diabetic children and assess insulin sensitivity and secretion derived from an oral glucose tolerance test (OGTT) in those with vs. without ß-cell AA. RESEARCH DESIGN AND METHODS A total of 357 overweight (BMI > 85%) youths underwent OGTTs, dual energy X-ray absorptiometry (DEXA) and measurement of GAD65 and IA-2 AA according to the NIDDK harmonization assay. Using the same methodology, AA were measured in 90 normal weight, non-diabetic individuals. RESULTS About 1.9% of overweight and 4.4% of control normal weight children had evidence of β-cell autoimmunity, with GAD65 AA detected in all subjects but none with IA-2. Youth with positive vs. those with negative AA had higher leptin/adiponectin ratio, glucose at 60 min and C-peptide at 90 min. CONCLUSIONS These findings suggest that the prevalence of β-cell AA in overweight youth may be similar to that in non-overweight children. Further studies using standardized methods are required.
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Affiliation(s)
- Ingrid M. Libman
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - E. Barinas-Mitchell
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - S. Marcovina
- Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington, Seattle, WA, USA
| | - F. Bacha
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - T. Hannon
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - H. Tfayli
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - SJ. Lee
- Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - S. Bansal
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - R. Robertson
- Center for Exercise and Health-Fitness Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - S. Arslanian
- Divisions of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA,Weight Management and Wellness, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
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Libman IM, Barinas-Mitchell E, Bartucci A, Chaves-Gnecco D, Robertson R, Arslanian S. Fasting and 2-hour plasma glucose and insulin: relationship with risk factors for cardiovascular disease in overweight nondiabetic children. Diabetes Care 2010; 33:2674-6. [PMID: 21115769 PMCID: PMC2992211 DOI: 10.2337/dc10-0085] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether elevated fasting or 2-h plasma glucose and/or insulin better reflects the presence of cardiovascular disease (CVD) risk markers in an overweight pediatric population with normal glucose tolerance. RESEARCH DESIGN AND METHODS A total of 151 overweight youths (8-17 years old) were evaluated with oral glucose tolerance tests and measurement of CVD risk factors. The study population was categorized according to quartiles of fasting and 2-h glucose and insulin levels. ANCOVA, adjusted for age, sex, race, Tanner stage, and percent body fat (measured by dual-energy X-ray absorptiometry), was used to compare metabolic variables between the quartiles of glucose and insulin groups. RESULTS Increasing quartiles of fasting and 2-h insulin were associated with increasing CVD risk factors. Glucose quartiles on the other hand, either fasting or at 2 h, were not. CONCLUSIONS These data suggest that hyperinsulinemia may be the earliest and/or primary metabolic alteration in childhood associated with risk markers for CVD. Prospective studies are needed.
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Affiliation(s)
- Ingrid M Libman
- Division of Pediatric Endocrinology, Metabolism and Diabetes Mellitus, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
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Libman IM, Barinas-Mitchell E, Bartucci A, Robertson R, Arslanian S. Reproducibility of the oral glucose tolerance test in overweight children. J Clin Endocrinol Metab 2008; 93:4231-7. [PMID: 18713820 PMCID: PMC2582565 DOI: 10.1210/jc.2008-0801] [Citation(s) in RCA: 131] [Impact Index Per Article: 8.2] [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: 04/14/2008] [Accepted: 08/01/2008] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We examined the reproducibility of the oral glucose tolerance test (OGTT) in overweight children and evaluated distinguishing characteristics between those with concordant vs. discordant results. DESIGN Sixty overweight youth (8-17 yr old) completed two OGTTs (interval between tests 1-25 d). Insulin sensitivity was assessed by the surrogate measures of fasting glucose to insulin ratio, whole-body insulin sensitivity index, and homeostasis model assessment of insulin resistance, and insulin secretion by the insulinogenic index with calculation of the glucose disposition index (GDI). RESULTS Of the 10 subjects with impaired glucose tolerance (IGT) during the first OGTT only three (30%) had IGT during the second OGTT. The percent positive agreement between the first and second OGTT was low for both impaired fasting glucose and IGT (22.2 and 27.3%, respectively). Fasting blood glucose had higher reproducibility, compared with the 2-h glucose. Youth with discordant OGTTs, compared with those with concordant results, were more insulin resistant (glucose/insulin 2.7+/-1.4 vs. 4.1+/-1.8, P=0.006, whole-body insulin sensitivity index of 1.3+/-0.6 vs. 2.2+/-1.1, P=0.003, and homeostasis model assessment of insulin resistance 10.6+/-8.1 vs. 5.7+/-2.8, P=0.001), had a lower GDI (0.45+/-0.58 vs. 1.02+/-1.0, P=0.03), and had higher low-density lipoprotein cholesterol (117.7+/-36.6 vs. 89.9+/-20.1, P=0.0005) without differences in physical characteristics. CONCLUSIONS Our results show poor reproducibility of the OGTT in obese youth, in particular for the 2-h plasma glucose. Obese youth who have discordant OGTT results are more insulin resistant with higher risk of developing type 2 diabetes mellitus, as evidenced by a lower GDI. The implications of this remain to be determined in clinical and research settings.
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Affiliation(s)
- I M Libman
- Children's Hospital of Pittsburgh, and Department of Epidemiology, Graduate School of Public Health, Center for Exercise and Health-Fitness Research, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.
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Abstract
AIM/HYPOTHESIS To assess the prevalence of autoimmune thyroid disease (ATD) in insulin-treated youth with clinical features of type 2 diabetes mellitus (T2DM). METHODS We evaluated prevalence of thyroid peroxidase (TPO) and thyroglobulin (TGA) antibodies at onset of insulin-treated diabetes and follow-up in 183 White and Black children. Of these, 136 had a body mass index (BMI) <85th percentile with 122 (89%) positive for beta-cell autoimmunity [type 1 diabetes mellitus (T1DM)/group I], 25 were overweight (BMI >or=85 th percentile) with or without acanthosis nigricans with beta-cell autoimmunity ['double' diabetes (DD)/group II], and 22 were overweight with no conventional beta-cell autoantibodies (group III). RESULTS The prevalence of TPO and/or TGA was 39 and 29% (p = 0.19) in White and Black children and 39, 32, and 0% (p = 0.007) in groups I, II, and III, respectively. After a median follow-up of 60 months, 3.7, 4.3, and 0% developed hypothyroidism (increased thyroid-stimulating hormone with or without decreased free T4) in groups I, II, and III, respectively (p = 0.6). In subjects with TPO and/or TGA, hypothyroidism developed in 10 and 14% of groups I and II, respectively (p = 0.7). No child without thyroid antibodies developed hypothyroidism. CONCLUSIONS In patients with clinical features of T2DM who have evidence of beta-cell autoimmunity (DD), the frequency of thyroid antibodies and ATD is similar to that in classical T1DM. This suggests that TIDM comorbidities may be common in clinical T2DM patients who have beta-cell autoimmunity. Despite their obesity, youth with insulin-requiring diabetes should be screened for thyroid and possibly other T1DM-associated autoimmune diseases.
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Affiliation(s)
- Ingrid M Libman
- Division of Pediatric Endocrinology and Diabetes, Children's Hospital of Pittsburgh, Pittsburgh, PA 15213, USA.
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Cifarelli V, Libman IM, Deluca A, Becker D, Trucco M, Luppi P. Increased Expression of Monocyte CD11b (Mac-1) in Overweight Recent-Onset Type 1 Diabetic Children. Rev Diabet Stud 2007; 4:112-7. [PMID: 17823696 PMCID: PMC2040113 DOI: 10.1900/rds.2007.4.112] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
AIM Compelling evidence implicates inflammation in the pathogenesis of type 1 diabetes mellitus (T1DM) and associated vascular complications. Obesity is also characterized by low-grade systemic inflammation. In this study, we characterized the inflammatory response in diabetes by analyzing the expression of a panel of activation markers on the surface of peripheral blood monocytes in recently-diagnosed T1DM patients. The potential effects of glycemic control and body mass index (BMI) on monocyte phenotype were also investigated. METHODS Using flow cytometry, we analyzed the expression of CD11b, CD49d, CD54, CD62L and CD64 antigens on monocytes in a cohort of 51 T1DM patients (</= 2 months after diagnosis). To test whether phenotype change in monocytes was associated with abnormal cellular function, we studied the adhesive capacity of monocytes to human umbilical vein endothelial cells (HUVEC). RESULTS We found that circulating monocytes from T1DM patients tested at the clinical onset of the disease (i.e. within 1 week of diagnosis) had higher CD11b expression compared to patients analyzed 2 months after diagnosis (p = 0.02). The highest CD11b levels were detected in patients with HbA1c < 8% (p = 0.04 vs. patients with HbA1c < 8%). In T1DM children analyzed 2 months after diagnosis, we found that those who were overweight (BMI >/= 85th percentile) had higher levels of monocyte activation than those who were not (BMI </= 85th percentile) (p = 0.03). CD11b and HbA1c were significantly correlated (correlation coefficient 0.329, p = 0.02). Finally, monocytes from T1DM patients showed higher adhesion to HUVEC compared to controls. CONCLUSIONS Circulating immune cells from T1DM patients display many aspects of a proinflammatory state, as indicated by primed or activated monocytes. Obesity is an important factor in monocyte activation during diabetes.
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Affiliation(s)
- Vincenza Cifarelli
- Division of Immunogenetics, Department of Pediatrics, Children´s Hospital of Pittsburgh, University of Pittsburgh, School of Medicine, Pittsburgh, PA 15213, USA
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Abstract
Parallel to the increase in obesity worldwide, there has been a rise in the prevalence of type 2 diabetes mellitus (T2DM) in children and adolescents. The etiology of T2DM in youth, similar to adults, is multifactorial including genetic and environmental factors, among them obesity, sedentary lifestyle, family history of the disease, high-risk ethnicity and insulin resistance phenotype playing major roles. Treatment of T2DM should not have a glucocentric approach; it should rather target improving glycemia, dyslipidemia, hypertension, weight management and the prevention of short- and long-term complications. Prevention strategies, especially in high-risk groups, should focus on environmental change involving participation of families, schools, the food and entertainment industries and governmental agencies. Presently, limited pharmacotherapeutic options need to be expanded both for childhood T2DM and obesity. The coming decades will prove very challenging for healthcare providers battling socioeconomic waves conducive to obesity and T2DM. Evidence-based research and clinical experience in pediatrics, possibly modeled after adult trials, need to be developed if this public health threat is to be contained.
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Affiliation(s)
- Ingrid M Libman
- Division of Weight Management & Wellness, Children's Hospital of Pittsburgh, Pittsburgh, PA 15213, USA
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Pietropaolo M, Yu S, Libman IM, Pietropaolo SL, Riley K, LaPorte RE, Drash AL, Mazumdar S, Trucco M, Becker DJ. Cytoplasmic islet cell antibodies remain valuable in defining risk of progression to type 1 diabetes in subjects with other islet autoantibodies. Pediatr Diabetes 2005; 6:184-92. [PMID: 16390386 DOI: 10.1111/j.1399-543x.2005.00127.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.6] [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] [Indexed: 11/30/2022] Open
Abstract
The discovery of islet cell antibodies (ICAs) was the prelude to the understanding that type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease. The issue regarding whether or not the measurement of ICAs should be completely replaced by biochemical markers detecting islet autoantibodies (AAs) for the prediction of T1DM has been the subject of endless international debates. In light of this controversy, we assessed the current role of ICAs as a predictive marker for T1DM progression. We examined a cohort of 1484 first-degree relatives (FDRs) of T1DM probands from the Children's Hospital of Pittsburgh Registry. These relatives were consecutively enrolled between 1979 through 1984 and followed up to 22 yr. Serum obtained at the time of enrollment was assayed for ICAs, glutamic acid decarboxylase (GAD)65, insulin A (IA)-2 AA, and insulin AAs (IAAs). In FDRs who had ICAs in addition to GAD65 and IA-2 AAs, the cumulative risk of developing insulin-requiring diabetes was 80% at 6.7 yr of follow-up, whereas this risk in those with GAD65 and IA-2 AAs without ICAs was only 14% at 10 yr of follow-up (log rank: P < 0.00001). Cox regression analysis showed that diabetes risk was significantly associated with the presence of ICAs in both subjects with low titer and high titer GAD65 and IA-2 AAs. The addition of IAAs in GAD65 and IA-2 AA-positive relatives did not increase the cumulative risk for conversion to insulin-treated diabetes. We provide evidence that a subgroup of ICAs predicts a more rapid progression to insulin-requiring diabetes in GAD65 and IA-2 AA-positive relatives and should remain part of the assessment of T1DM risk for intervention trials. In addition, these findings provide impetus for efforts to identify a novel islet autoantigen(s) reactive with this ICA subset.
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Affiliation(s)
- Massimo Pietropaolo
- Division of Immunogenetics, Department of Pediatrics, Rangos Research Center, Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. pietroma+@pitt.edu
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Libman IM, LaPorte RE. Changing trends in epidemiology of type 1 diabetes mellitus throughout the world: how far have we come and where do we go from here. Pediatr Diabetes 2005; 6:119-21. [PMID: 16109066 DOI: 10.1111/j.1399-543x.2005.00119.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Abstract
OBJECTIVE The aim of this study was to compare the prevalence of being overweight in black and white children and adolescents at onset of insulin-treated diabetes during two time periods: 1979-1989 (period I) and 1990-1998 (period II). RESEARCH DESIGN AND METHODS All black children <19 years of age diagnosed with diabetes and treated with insulin at onset admitted to the Children's Hospital of Pittsburgh between January 1979 and December 1998 were matched with white children by sex, age at onset, and year of diagnosis. Data were obtained from a review of medical records. Overweight was defined as BMI >or=85th percentile for age and sex. Islet cell autoantibodies were measured. RESULTS The prevalence of being overweight increased from 12.6% (period I) to 36.8% (period II) (P = 0.0003); in whites from 2.9 to 16.6% (P = 0.04) and in blacks from 22 to 55% (P = 0.001); and in the age-group <11 years from 7.3 to 22.2% (P = 0.04) and age 11-18 years from 20 to 50% (P = 0.006). In children with at least one antibody, the prevalence of being overweight increased from 5.1 to 24.4% (P = 0.001). In the multivariate logistic regression, period of diagnosis (period II), race (black), age at onset (>or=11 years old), and absence of autoimmunity were associated with being overweight. CONCLUSIONS At onset of the disease, the prevalence of being overweight has tripled from the 1980s to the 1990s, following the trend in the general population. Weight gain may be an accelerating factor for onset of insulin-treated diabetes and may have contributed to the increased incidence of diabetes in youth seen in some populations.
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Affiliation(s)
- Ingrid M Libman
- Department of Pediatrics, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.
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Abstract
OBJECTIVE We have previously reported differences in the prevalence of beta-cell autoantibodies (AAs) in black and white children with insulin-treated diabetes, suggesting that the disease pathogenesis may be more heterogeneous among racial groups than previously thought. To further explore this issue, we compared clinical, biochemical, and autoimmune characteristics at disease diagnosis and follow-up treatment in an expanded number of black and white children with and without the presence of AAs. RESEARCH DESIGN AND METHODS The study cohort of 130 black children and adolescents, aged <19 years, diagnosed with diabetes and treated with insulin at time of diagnosis (January 1979 to December 1998) were matched with an equal number of white children by age at onset, sex, and year of diagnosis. RESULTS The black children had a higher prevalence of obesity (43 vs. 11%) and acanthosis nigricans (21 vs. 1%) than white children and a lower prevalence of AAs. Compared with black children who had AAs, those with no AAs were older and had a higher prevalence of obesity, acanthosis nigricans, and parental diabetes. However, one of four of the black children with AAs was obese and/or had acanthosis nigricans. Among white children, the absence of AAs was not associated with any differences in terms of obesity or acanthosis nigricans compared with those with AAs. Similar to their black counterparts, white children without antibodies were older and had a higher prevalence of parental diabetes. Although treatment with an insulin sensitizer was used, insulin therapy was rarely discontinued on follow-up. CONCLUSIONS These pediatric subjects, irrespective of autoimmunity, often showed characteristics associated with type 2 diabetes. These characteristics were more frequently displayed in black than in white children. Our data suggest that childhood diabetes may constitute a spectrum of pathogenic mechanisms that may overlap, including those typically associated with both type 1 and type 2 diabetes. This finding could have therapeutic implications.
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Affiliation(s)
- Ingrid M Libman
- Department of Pediatrics, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.
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Affiliation(s)
- Ingrid M Libman
- Division of Pediatric Endocrinology, Department of Pediatrics, Children's Hospital of Pittsburgh, 3705 Fifth Avenue, Pittsburgh, PA 15213, USA.
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Abstract
OBJECTIVE To compare the frequency of islet cell antibodies (ICA) and antibodies to GAD65 and IA-2(ICA512) between black and white children and adolescents at the diagnosis of IDDM in a large consecutive series of cases from Children's Hospital of Pittsburgh. RESEARCH DESIGN AND METHODS ICA and antibodies to GAD65 and IA-2 were measured in 437 white and black children and adolescents who were diagnosed with IDDM at < 19 years of age at Children's Hospital of Pittsburgh from January 1983 to December 1985, from January to December 1989, and from January 1996 to December 1997. RESULTS The prevalence of ICA(H), GAD65, and IA-2 antibodies was significantly lower in blacks than whites at onset of the disease. In contrast, the prevalence of ICA(R) alone was higher in blacks. None of the antibodies were present in 12% of the blacks compared with 4% in whites. The same pattern was seen in both sexes. The prevalence of antibodies in white patients with onset of IDDM at <11 years of age was no different than in those who developed IDDM during adolescence. In contrast, black patients showed a significantly lower prevalence of almost all antibodies in the adolescent group. CONCLUSIONS Black adolescents were more likely to not have antibodies, suggesting either that they have a nonautoimmune type of diabetes or that antibodies are not being detected by these assays.
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Affiliation(s)
- I M Libman
- Department of Pediatrics, Rangos Research Center, Children's Hospital of Pittsburgh, Diabetes Research Center, Graduate School of Public Health, University of Pittsburgh, Pennsylvania 15213, USA.
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Aude Rueda O, Libman IM, Altamirano Bustamante N, Robles Valdes C, LaPorte RE. Low incidence of IDDM in children of Veracruz-Boca del Rio, Veracruz. Results of the first validated IDDM registry in Mexico. Diabetes Care 1998; 21:1372-3. [PMID: 9702456 DOI: 10.2337/diacare.21.8.1372] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Abstract
OBJECTIVE To determine the incidence of IDDM in children aged < 20 years at diagnosis in Allegheny County, Pennsylvania, for the period from 1 January 1990 to 31 December 1994 and to compare the incidence between whites and nonwhites in the same area and for the same time period. RESEARCH DESIGN AND METHODS All new patients diagnosed between January 1990 and December 1994 who were aged < 20 years, on insulin, and residents of Allegheny County at diagnosis were identified from medical records of 23 hospitals in the Allegheny County area. To verify the completeness of the hospitals using the capture-recapture method, pediatricians and diabetologists were used as a secondary source. RESULTS A total number of 257 patients were identified. The overall age-standardized incidence rate was 16.7/100,000. Nonwhites had a slightly higher incidence (17.6/100,000) than whites (16.5/100,000). In the 15-19 years age-group, the incidence in nonwhites (30.4/100,000) was almost three times higher than that in white (11.2/100,000) and more than two times higher than that in the previous period (from 1985 to 1989) (13.8/100,000). CONCLUSIONS For the first time in the Allegheny County registry, and in any other registry, nonwhites showed a higher incidence of IDDM than whites. The high incidence in the 15-19 years age-group was responsible for this phenomenon. This epidemic of diabetes in adolescent nonwhites may be the result of a rising incidence of classical IDDM or another type of diabetes. Further studies using population-based registries are needed to determine whether this increase is being seen in other areas and other ethnic groups and to clarify the reasons for the increase in IDDM among blacks.
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Affiliation(s)
- I M Libman
- Diabetes Research Center, Rangos Research Center, Pittsburgh, PA 15213, USA.
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Libman IM, LaPorte RE, Akazawa S, Boostrom E, Glosser C, Marler E, Pretto E, Sauer F, Villasenor A, Young F, Ochi G. The need for a global health disaster network. Prehosp Disaster Med 1997; 12:11-2. [PMID: 10166369 DOI: 10.1017/s1049023x00037146] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
When a disaster occurs, a major difficulty is knowing where to find accurate information, and how to help coordinate efforts to share accurate information in a quick and organized manner. The establishment of a global information network, that is in place before a disaster occurs, could link all the communication efforts for relief. We propose that a Global Health Unit for Disaster and Relief Coordination be set up as part of the Global Health Network, utilizing the Internet as its backbone. This Unit would establish the links for the disaster information mosaic.
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Aaron DJ, Boostrom E, LaPorte RE, Libman IM, Marler E, Sauer F, Songer TJ, Villasenor A. Pennsylvania health on the net? Pa Med 1996; 99:20-22. [PMID: 8854719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Affiliation(s)
- D J Aaron
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, USA
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Aaron DJ, Sekikawa A, Libman IM, Iochida L, Barinas-Mitchell E, Laporte RE. Telepreventive medicine. MD Comput 1996; 13:335-8. [PMID: 8754242] [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] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
There have been dramatic improvements in health during the past 50 years, and public health measures have made a major contribution. Much of public health consists of information transfer. The application of telecommunications technology to public health and preventive medicine would enhance our ability to transmit information and improve global health. The idea of telemedicine has received considerable attention but has not thus far included preventive medicine. We have outlined a global electronic health network with seven main components: connectivity, telemonitoring of disease, "distance education" for public health workers, electronic connection of nongovernment organizations, a combined degree in public health and communications, an electronic scientific research server, and a home page on the World Wide Web. A commitment to the integration of telecommunications and public health holds great promise for improving the health status of the world's population.
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Affiliation(s)
- D J Aaron
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh.
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Libman IM, Shustov LP. [Effect of mud therapy and electrophoresis of the Karachinsk mud extract on the blood coagulation system in patients with lumbosacral radiculitis accompained by arteroisclerosis]. Vopr Kurortol Fizioter Lech Fiz Kult 1974:421-5. [PMID: 4446429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Vengerovskaia OA, Libman IM. [Use of several physio-balneological complexes in the treatment of patients with early manifestations of arteriosclerosis]. TERAPEVT ARKH 1969; 41:45-8. [PMID: 5384746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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