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Triolo TM, Fouts A, Pyle L, Yu L, Gottlieb PA, Steck AK, Greenbaum CJ, Atkinson M, Baidal D, Battaglia M, Becker D, Bingley P, Bosi E, Buckner J, Clements M, Colman P, DiMeglio L, Gitelman S, Goland R, Gottlieb P, Herold K, Knip M, Krischer J, Lernmark A, Moore W, Moran A, Muir A, Palmer J, Peakman M, Philipson L, Raskin P, Redondo M, Rodriguez H, Russell W, Spain L, Schatz D, Sosenko J, Wentworth J, Wherrett D, Wilson D, Winter W, Ziegler A, Anderson M, Antinozzi P, Benoist C, Blum J, Bourcier K, Chase P, Clare-Salzler M, Clynes R, Eisenbarth G, Fathman C, Grave G, Hering B, Insel R, Kaufman F, Kay T, Leschek E, Mahon J, Marks J, Nanto-Salonen K, Nepom G, Orban T, Parkman R, Pescovitz M, Peyman J, Pugliese A, Roep B, Roncarolo M, Savage P, Simell O, Sherwin R, Siegelman M, Skyler J, Steck A, Thomas J, Trucco M, Wagner J, Krischer JP, Leschek E, Rafkin L, Bourcier K, Cowie C, Foulkes M, Insel R, Krause-Steinrauf H, Lachin JM, Malozowski S, Peyman J, Ridge J, Savage P, Skyler JS, Zafonte SJ, Rafkin L, Sosenko JM, Kenyon NS, Santiago I, Krischer JP, Bundy B, Abbondondolo M, Dixit S, Pasha M, King K, Adcock H, Atterberry L, Fox K, Englert N, Mauras J, Permuy K, Sikes T, Adams T, Berhe B, Guendling L, McLennan L, Paganessi C, Murphy M, Draznin M, Kamboj S, Sheppard V, Lewis L, Coates W, Amado D, Moore G, Babar J, Bedard D, Brenson-Hughes J, Cernich M, Clements R, Duprau S, Goodman L, Hester L, Huerta-Saenz A, Asif I, Karmazin T, Letjen S, Raman D, Morin W, Bestermann E, Morawski J, White A, Brockmyer R, Bays S, Campbell A, Boonstra M, Stapleton N, Stone A, Donoho H, Everett H, Hensley M, Johnson C, Marshall N, Skirvin P, Taylor R, Williams L, Burroughs C, Ray C, Wolverton D, Nickels C, Dothard P, Speiser M, Pellizzari L, Bokor K, Izuora S, Abdelnour P, Cummings S, Cuthbertson D, Paynor M, Leahy M, Riedl S, Shockley R, Saad T, Briones S, Casella C, Herz K, Walsh J, Greening F, Deemer M, Hay S, Hunt N, Sikotra L, Simons D, Karounos R, Oremus L, Dye L, Myers D, 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A, Eisenbarth G, Fain P, Fiallo-Scharer R, Frank N, Goettle H, Haarhues M, Harris S, Horton L, Hutton J, Jeffrrey J, Jenison R, Jones K, Kastelic W, King MA, Lehr D, Lungaro J, Mason K, Maurer H, Nguyen L, Proto A, Realsen J, Schmitt K, Schwartz M, Skovgaard S, Smith J, Vanderwel B, Voelmle M, Wagner R, Wallace A, Walravens P, Weiner L, Westerhoff B, Westfall E, Widmer K, Wright H, Schatz D, Abraham A, Atkinson M, Cintron M, Clare-Salzler M, Ferguson J, Haller M, Hosford J, Mancini D, Rohrs H, Silverstein J, Thomas J, Winter W, Cole G, Cook R, Coy R, Hicks E, Lewis N, Marks J, Pugliese A, Blaschke C, Matheson D, Pugliese A, Sanders-Branca N, Ray Arce LA, Cisneros M, Sabbag S, Moran A, Gibson C, Fife B, Hering B, Kwong C, Leschyshyn J, Nathan B, Pappenfus B, Street A, Boes MA, Peterson Eck S, Finney L, Albright Fischer T, Martin A, Jacqueline Muzamhindo C, Rhodes M, Smith J, Wagner J, Wood B, Becker D, Delallo K, Diaz A, Elnyczky B, Libman I, Pasek B, Riley K, Trucco M, Copemen B, Gwynn 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Manning G, Hendry B, Taylor S, Jones W, Strader M, Bencomo T, Bailey L, Bedolla C, Roldan C, Moudiotis B, Vaidya C, Anning S, Bunce S, Estcourt E, Folland E, Gordon C, Harrill J, Ireland J, Piper L, Scaife K, Sutton S, Wilkins M, Costelloe J, Palmer L, Casas C, Miller M, Burgard C, Erickson J, Hallanger-Johnson P, Clark W, Taylor A, Lafferty S, Gillett C, Nolan M, Pathak L, Sondrol T, Hjelle S, Hafner J, Kotrba R, Hendrickson A, Cemeroglu T, Symington M, Daniel Y, Appiagyei-Dankah D, Postellon M, Racine L, Kleis K, Barnes S, Godwin H, McCullough K, Shaheen G, Buck L, Noel M, Warren S, Weber S, Parker I, Gillespie B, Nelson C, Frost J, Amrhein E, Moreland A, Hayes J, Peggram J, Aisenberg M, Riordan J, Zasa E, Cummings K, Scott T, Pinto A, Mokashi K, McAssey E, Helden P, Hammond L, Dinning S, Rahman S, Ray C, Dimicri S, Guppy H, Nielsen C, Vogel C, Ariza L, Morales Y, Chang R, Gabbay L, Ambrocio L, Manley R, Nemery W, Charlton P, Smith L, Kerr B, Steindel-Kopp M, Alamaguer D, Liljenquist G, Browning T, Coughenour M, Sulk E, Tsalikan M, Tansey J, Cabbage N. Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes. Diabetes Care 2019; 42:192-199. [PMID: 30061316 PMCID: PMC6341285 DOI: 10.2337/dc18-0288] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [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: 02/07/2018] [Accepted: 06/28/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
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Affiliation(s)
- Taylor M. Triolo
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Alexandra Fouts
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Laura Pyle
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Peter A. Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
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Haller MJ, Schatz DA, Skyler JS, Krischer JP, Bundy BN, Miller JL, Atkinson MA, Becker DJ, Baidal D, DiMeglio LA, Gitelman SE, Goland R, Gottlieb PA, Herold KC, Marks JB, Moran A, Rodriguez H, Russell W, Wilson DM, Greenbaum CJ, Greenbaum C, Atkinson M, Baidal D, Battaglia M, Becker D, Bingley P, Bosi E, Buckner J, Clements M, Colman P, DiMeglio L, Evans-Molina C, Gitelman S, Goland R, Gottlieb P, Herold K, Knip M, Krischer J, Lernmark A, Moore W, Moran A, Muir A, Palmer J, Peakman M, Philipson L, Raskin P, Redondo M, Rodriguez H, Russell W, Spain L, Schatz D, Sosenko J, Wherrett D, Wilson D, Winter W, Ziegler A, Anderson M, Antinozzi P, Benoist C, Blum J, Bourcier K, Chase P, Clare-Salzler M, Clynes R, Cowie C, Eisenbarth G, Fathman C, Grave G, Harrison L, Hering B, Insel R, Jordan S, Kaufman F, Kay T, Kenyon N, Klines R, Lachin J, Leschek E, Mahon J, Marks J, Monzavi R, Nanto-Salonen K, Nepom G, Orban T, Parkman R, Pescovitz M, Peyman J, Pugliese A, Ridge J, Roep B, Roncarolo M, Savage P, Simell O, Sherwin R, Siegelman M, Skyler J, Steck A, Thomas J, Trucco M, Wagner J, Bourcier K, Greenbaum CJ, Krischer JP, Leschek E, Rafkin L, Spain L, Cowie C, Foulkes M, Insel R, Krause-Steinrauf H, Lachin JM, Malozowski S, Peyman J, Ridge J, Savage P, Skyler JS, Zafonte SJ, Greenbaum CJ, Rafkin L, Sosenko JM, Skyler JS, Kenyon NS, Santiago I, Krischer JP, Bundy B, Abbondondolo M, Adams T, Amado D, Asif I, Boonstra M, Boulware D, Bundy B, Burroughs C, Cuthbertson D, Eberhard C, Fiske S, Ford J, Garmeson J, Guillette H, Geyer S, Hays B, Henderson C, Henry M, Heyman K, Hsiao B, Karges C, Kinderman A, Lane L, Leinbach A, Liu S, Lloyd J, Malloy J, Maddox K, Martin J, Miller J, Moore M, Muller S, Nguyen T, O’Donnell R, Parker M, Pereyra M, Reed N, Roberts A, Sadler K, Stavros T, Tamura R, Wood K, Xu P, Young K, Alies P, Badias F, Baker A, Bassi M, Beam C, Boulware D, Bounmananh L, Bream S, Deemer M, Freeman D, Gough J, Ginem J, Granger M, Holloway M, Kieffer M, Lane P, Law P, Linton C, Nallamshetty L, Oduah V, Parrimon Y, Paulus K, Pilger J, Ramiro J, Luvon AQ, Ritzie A, Sharma A, Shor X, Song A, Terry J, Weinberger M, Wootten J, Fradkin E, Leschek L, Spain C, Cowie S, Malozowski P, Savage G, Beck E, Blumberg R, Gubitosi-Klug L, Laffel R, Veatch D, Wallace J, Braun D, Brillon A, Lernmark B, Lo H, Mitchell A, Naji J, Nerup T, Orchard M, Steffes A, Tsiatis B, Zinman B, Loechelt L, Baden M, Green A, Weinberg S, Marcovina JP, Palmer A, Weinberg L, Yu W, Winter GS, Eisenbarth A, Shultz E, Batts K, Fitzpatrick M, Ramey R, Guerra C, Webb M, Romasco C, Greenbaum S, Lord D, VanBuecken W, Hao M, McCulloch D, Hefty K, Varner R, Goland E, Greenberg S, Pollack B, Nelson L, Looper L, DiMeglio M, Spall C, Evans-Molina M, Mantravadi J, Sanchez M, Mullen V, Patrick S, Woerner DM, Wilson T, Aye T, Esrey K, Barahona B, Baker H, Bitar C, Ghodrat M, Hamilton SE, Gitelman CT, Ferrara S, Sanda R, Wesch C, Torok P, Gottlieb J, Lykens C, Brill A, Michels A, Schauwecker MJ, Haller DA, Schatz MA, Atkinson LM, Jacobsen M, Cintron TM, Brusko CH, Wasserfall CE, Mathews JS, Skyler JM, Marks D, Baidal C, Blaschke D, Matheson A, Moran B, Nathan A, Street J, Leschyshyn B, Pappenfus B, Nelson N, Flaherty D, Becker K, Delallo D, Groscost K, Riley H, Rodriguez D, Henson E, Eyth W, Russell A, Brown F, Brendall K, Herold, Feldman L. Low-Dose Anti-Thymocyte Globulin (ATG) Preserves β-Cell Function and Improves HbA 1c in New-Onset Type 1 Diabetes. Diabetes Care 2018; 41:1917-1925. [PMID: 30012675 PMCID: PMC6105329 DOI: 10.2337/dc18-0494] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [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: 03/06/2018] [Accepted: 06/12/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE A pilot study suggested that combination therapy with low-dose anti-thymocyte globulin (ATG) and pegylated granulocyte colony-stimulating factor (GCSF) preserves C-peptide in established type 1 diabetes (T1D) (duration 4 months to 2 years). We hypothesized that 1) low-dose ATG/GCSF or 2) low-dose ATG alone would slow the decline of β-cell function in patients with new-onset T1D (duration <100 days). RESEARCH DESIGN AND METHODS A three-arm, randomized, double-masked, placebo-controlled trial was performed by the Type 1 Diabetes TrialNet Study Group in 89 subjects: 29 subjects randomized to ATG (2.5 mg/kg intravenously) followed by pegylated GCSF (6 mg subcutaneously every 2 weeks for 6 doses), 29 to ATG alone (2.5 mg/kg), and 31 to placebo. The primary end point was mean area under the curve (AUC) C-peptide during a 2-h mixed-meal tolerance test 1 year after initiation of therapy. Significance was defined as one-sided P value < 0.025. RESULTS The 1-year mean AUC C-peptide was significantly higher in subjects treated with ATG (0.646 nmol/L) versus placebo (0.406 nmol/L) (P = 0.0003) but not in those treated with ATG/GCSF (0.528 nmol/L) versus placebo (P = 0.031). HbA1c was significantly reduced at 1 year in subjects treated with ATG and ATG/GCSF, P = 0.002 and 0.011, respectively. CONCLUSIONS Low-dose ATG slowed decline of C-peptide and reduced HbA1c in new-onset T1D. Addition of GCSF did not enhance C-peptide preservation afforded by low-dose ATG. Future studies should be considered to determine whether low-dose ATG alone or in combination with other agents may prevent or delay the onset of the disease.
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Affiliation(s)
| | | | - Jay S. Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | | | | | - David Baidal
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | | | | | - Peter A. Gottlieb
- University of Colorado Barbara Davis Center for Childhood Diabetes, Aurora, CO
| | | | - Jennifer B. Marks
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
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Redondo MJ, Geyer S, Steck AK, Sharp S, Wentworth JM, Weedon MN, Antinozzi P, Sosenko J, Atkinson M, Pugliese A, Oram RA, Antinozzi P, Atkinson M, Battaglia M, Becker D, Bingley P, Bosi E, Buckner J, Colman P, Gottlieb P, Herold K, Insel R, Kay T, Knip M, Marks J, Moran A, Palmer J, Peakman M, Philipson L, Pugliese A, Raskin P, Rodriguez H, Roep B, Russell W, Schatz D, Wherrett D, Wilson D, Winter W, Ziegler A, Benoist C, Blum J, Chase P, Clare-Salzler M, Clynes R, Eisenbarth G, Fathman C, Grave G, Hering B, Kaufman F, Leschek E, Mahon J, Nanto-Salonen K, Nepom G, Orban T, Parkman R, Pescovitz M, Peyman J, Roncarolo M, Simell O, Sherwin R, Siegelman M, Steck A, Thomas J, Trucco M, Wagner J, Greenbaum ,CJ, Bourcier K, Insel R, Krischer JP, Leschek E, Rafkin L, Spain L, Cowie C, Foulkes M, Krause-Steinrauf H, Lachin JM, Malozowski S, Peyman J, Ridge J, Savage P, Skyler JS, Zafonte SJ, Kenyon NS, Santiago I, Sosenko JM, Bundy B, Abbondondolo M, Adams T, Amado D, Asif I, Boonstra M, Bundy B, Burroughs C, Cuthbertson D, Deemer M, Eberhard C, Fiske S, Ford J, Garmeson J, Guillette H, Browning G, Coughenour T, Sulk M, Tsalikan E, Tansey M, Cabbage J, Dixit N, Pasha S, King M, Adcock K, Geyer S, Atterberry H, Fox L, Englert K, Mauras N, Permuy J, Sikes K, Berhe T, Guendling B, McLennan L, Paganessi L, Hays B, Murphy C, Draznin M, Kamboj M, Sheppard S, Lewis V, Coates L, Moore W, Babar G, Bedard J, Brenson-Hughes D, Henderson C, Cernich J, Clements M, Duprau R, Goodman S, Hester L, Huerta-Saenz L, Karmazin A, Letjen T, Raman S, Morin D, Henry M, Bestermann W, Morawski E, White J, Brockmyer A, Bays R, Campbell S, Stapleton A, Stone N, Donoho A, Everett H, Heyman K, Hensley H, Johnson M, Marshall C, Skirvin N, Taylor P, Williams R, Ray L, Wolverton C, Nickels D, Dothard C, Hsiao B, Speiser P, Pellizzari M, Bokor L, Izuora K, Abdelnour S, Cummings P, Paynor S, Leahy M, Riedl M, Shockley S, Karges C, Saad R, Briones T, Casella S, Herz C, Walsh K, Greening J, Hay F, Hunt S, Sikotra N, Simons L, Keaton N, Karounos D, Oremus R, Dye L, Myers L, Ballard D, Miers W, Sparks R, Thraikill K, Edwards K, Fowlkes J, Kinderman A, Kemp S, Morales A, Holland L, Johnson L, Paul P, Ghatak A, Phelen K, Leyland H, Henderson T, Brenner D, Law P, Oppenheimer E, Mamkin I, Moniz C, Clarson C, Lovell M, Peters A, Ruelas V, Borut D, Burt D, Jordan M, Leinbach A, Castilla S, Flores P, Ruiz M, Hanson L, Green-Blair J, Sheridan R, Wintergerst K, Pierce G, Omoruyi A, Foster M, Linton C, Kingery S, Lunsford A, Cervantes I, Parker T, Price P, Urben J, Doughty I, Haydock H, Parker V, Bergman P, Liu S, Duncum S, Rodda C, Thomas A, Ferry R, McCommon D, Cockroft J, Perelman A, Calendo R, Barrera C, Arce-Nunez E, Lloyd J, Martinez Y, De la Portilla M, Cardenas I, Garrido L, Villar M, Lorini R, Calandra E, D’Annuzio G, Perri K, Minuto N, Malloy J, Rebora C, Callegari R, Ali O, Kramer J, Auble B, Cabrera S, Donohoue P, Fiallo-Scharer R, Hessner M, Wolfgram P, Maddox K, Kansra A, Bettin N, 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Trunnel S, Transue D, Surhigh J, Bezzaire D, Moltz K, Zacharski E, Henske J, Desai S, Frizelis K, Khan F, Sjoberg R, Allen K, Manning P, Hendry G, Taylor B, Jones S, Couch R, Danchak R, Lieberman D, Strader W, Bencomo M, Bailey T, Bedolla L, Roldan C, Moudiotis C, Vaidya B, Anning C, Bunce S, Estcourt S, Folland E, Gordon E, Harrill C, Ireland J, Piper J, Scaife L, Sutton K, Wilkins S, Costelloe M, Palmer J, Casas L, Miller C, Burgard M, Erickson C, Hallanger-Johnson J, Clark P, Taylor W, Galgani J, Banerjee S, Banda C, McEowen D, Kinman R, Lafferty A, Gillett S, Nolan C, Pathak M, Sondrol L, Hjelle T, Hafner S, Kotrba J, Hendrickson R, Cemeroglu A, Symington T, Daniel M, Appiagyei-Dankah Y, Postellon D, Racine M, Kleis L, Barnes K, Godwin S, McCullough H, Shaheen K, Buck G, Noel L, Warren M, Weber S, Parker S, Gillespie I, Nelson B, Frost C, Amrhein J, Moreland E, Hayes A, Peggram J, Aisenberg J, Riordan M, Zasa J, Cummings E, Scott K, Pinto T, Mokashi A, McAssey K, Helden E, Hammond P, Dinning L, Rahman S, Ray S, Dimicri C, Guppy S, Nielsen H, Vogel C, Ariza C, Morales L, Chang Y, Gabbay R, Ambrocio L, Manley L, Nemery R, Charlton W, Smith P, Kerr L, Steindel-Kopp B, Alamaguer M, Tabisola-Nuesca E, Pendersen A, Larson N, Cooper-Olviver H, Chan D, Fitz-Patrick D, Carreira T, Park Y, Ruhaak R, Liljenquist D. A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk. Diabetes Care 2018; 41:1887-1894. [PMID: 30002199 PMCID: PMC6105323 DOI: 10.2337/dc18-0087] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [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] [Received: 01/11/2018] [Accepted: 06/06/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
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Affiliation(s)
- Maria J. Redondo
- Texas Children’s Hospital, Baylor College of Medicine, Houston, TX
| | | | - Andrea K. Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Seth Sharp
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | - John M. Wentworth
- Walter and Eliza Hall Institute of Medical Research and Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
| | | | | | | | | | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter, Exeter, U.K
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McDonald TJ, Colclough K, Brown R, Shields B, Shepherd M, Bingley P, Williams A, Hattersley AT, Ellard S. Islet autoantibodies can discriminate maturity-onset diabetes of the young (MODY) from Type 1 diabetes. Diabet Med 2011; 28:1028-33. [PMID: 21395678 DOI: 10.1111/j.1464-5491.2011.03287.x] [Citation(s) in RCA: 128] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AIM Maturity-onset diabetes of the young is a monogenic form of familial, young-onset diabetes. It is rare (∼1% diabetes) and may be misdiagnosed as Type 1 diabetes and inappropriately treated with insulin. Type 1 diabetes is characterized by the presence of islet autoantibodies, including glutamate decarboxylase (GAD) and islet antigen-2 (IA-2) antibodies. The prevalence of islet autoantibodies is unknown in maturity-onset diabetes of the young and may have the potential to differentiate this form of diabetes from Type 1 diabetes. The aim of this study was to determine the prevalence of GAD and IA-2 antibodies in patients with maturity-onset diabetes of the young and Type 1 diabetes. METHODS We measured plasma GAD and IA-2 antibodies in 508 patients with the most common forms of maturity-onset diabetes of the young (GCK: n = 227; HNF1A: n = 229; HNF4A: n = 52) and 98 patients with newly diagnosed Type 1 diabetes (diagnosed < 6 months). Autoantibodies were considered positive if ≥ 99th centile of 500 adult control subjects. RESULTS GAD and/or IA-2 antibodies were present in 80/98 (82%) patients with Type 1 diabetes and 5/508 (< 1%) patients with maturity-onset diabetes of the young. In the cohort with Type 1 diabetes, both GAD and IA-2 antibodies were detected in 37.8% of patients, GAD only in 24.5% and IA-2 only in 19.4%. All five patients with maturity-onset diabetes of the young with detectable antibodies had GAD antibodies and none had detectable IA-2 antibodies. CONCLUSION The prevalence of GAD and IA-2 antibodies in maturity-onset diabetes of the young is the same as in control subjects (< 1%). The finding of islet autoantibodies, especially IA-2 antibodies, makes the diagnosis of maturity-onset diabetes of the young very unlikely and genetic testing should only be performed if other clinical characteristics strongly suggest this form of diabetes rather than Type 1 diabetes. This supports routine islet autoantibody testing before proceeding to more expensive molecular genetic testing.
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Affiliation(s)
- T J McDonald
- Institute of Biomedical and Clinical Science, Peninsula Medical School, University of Exeter, Exeter, UK
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5
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Davies H, Brophy S, Fielding A, Bingley P, Chandler M, Hilldrup I, Brooks C, Williams R. Latent autoimmune diabetes in adults (LADA) in South Wales: incidence and characterization. Diabet Med 2008; 25:1354-7. [PMID: 19046228 DOI: 10.1111/j.1464-5491.2008.02580.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIM To define the incidence and characteristics of latent autoimmune diabetes in adults (LADA). METHODS We estimated the incidence of LADA by examining the incidence of Type 2 diabetes and calculating the proportion that were antibody positive. The incidence of Type 2 diabetes was calculated by analysis of computer records of 35 out of 36 general practices in Swansea. In addition, thirty-two practices participated in recruiting people with Type 2 diabetes to have glutamic acid decarboxylase (GAD) antibody testing. RESULTS The crude proportion of Type 2 patients testing positive for GAD antibodies (GADA) was 4.0% (28/683). This figure did not change when we analysed only the practices that tested more than 60% of all eligible patients. In these practices, 79% (387/487) of all eligible patients were GADA tested and 14/387 [3.6% (95% confidence interval: 2.1-6.1%)] were classified as having LADA. This gives an incidence of LADA of 9 per 100,000 (95% confidence interval: 4.4-17.8 per 100,000) people per year registered with a general practitioner. Patients testing positive for GADA were more likely to have a lower body mass index, other antibodies, to present with acute symptoms and to have higher glycated haemoglobin. CONCLUSIONS This is the first study of the incidence of LADA in primary care. People with LADA make up a significant proportion of people with apparent Type 2 diabetes. Patients with LADA are likely to be symptomatic, have poorer glycaemic control and have other autoimmune antibodies.
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Affiliation(s)
- H Davies
- Centre for Health Information, Research and Evaluation, School of Medicine, Swansea University, Swansea, UK.
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6
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Pan L, Achenbach P, Barker J, Bingley P, Chiumello G, Eisenbarth G, Hasford J, Rabl W, Roth R, Schober E, Schönle E, Bonifacio E, Ziegler AG. Primäre Immunintervention mit oralem/nasalem Insulin zur Prävention des Typ 1 Diabetes bei Kindern mit einem sehr hohen genetischen Diabetesrisiko – Die Pre-POINT (Primary Oral/intranasal INsulin Trial) Studie. DIABETOL STOFFWECHS 2007. [DOI: 10.1055/s-2007-982484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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7
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Bingley P, Walker I. Housing subsidies and work incentives in Great Britain. Econ J (London) 2001; 111:86-103. [PMID: 20027732 DOI: 10.1111/1468-0297.00621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
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8
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Kinalski M, Kretowski A, Telejko B, Kowalska I, Bingley P, Kinalska I. [Prevalence of ICA antibodies, anti-GAD and antylA-2 in women with gestational diabetes treated with diet]. Przegl Lek 1999; 56:342-6. [PMID: 10554570] [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: 04/13/2023]
Abstract
UNLABELLED Gestational diabetes is considered an important factor complicating foetal development. Furthermore it might potentate the risk of type I maternal diabetes after delivery. Nowadays, on the basis of a detection of antibodies against islet cells (ICA, anti GAD, IA-2 IAA), we can recognize autoimmune disorders typical for the type I diabetes. Therefore, the aim of our study was to estimate the prevalence of islet cells autoantibodies in women with a history of gestational diabetes and to assess, if they might be a risk factor for foetus development and gestation outcome. Our investigations were carried out in 156 patients with the history of gestational diabetes (treated with diet), 6 weeks after delivery. ICA, anti GAD, IA-2, HbA1c and lipid profiles were estimated. Then IVGTT was performed to measure the first phase of insulin secretion. The number of previous abortions per number of pregnancies and birth weight of children were also assessed. In the population studied the most frequently detected antibodies were anti-GAD--7.0% and ICA--5.1%, less frequently--IA-2--3.2%. The prevalence of Abs was higher than in the healthy population but lower than observed among women with family history of type I diabetes. The presence of 2 types of antibodies was found in 3.8% of patients. In the group with the autoimmune disorders, significantly higher birth weights and more frequent failures of previous pregnancies were found. IN CONCLUSION the foregoing data suggest that the detection of antibodies against the beta cells in women with gestational diabetes might be a serious risk factor and a possible indication for early insulin treatment. As a result the better prognosis of gestation outcome is expected. However, we believe that the further prospective studies are required to verify our statement.
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Affiliation(s)
- M Kinalski
- Zakładu Patofizjologii Ciazy Instytutu Połoznictwa i Chorób Kobiecych, Akademii Medycznej w Białymstoku
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9
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Badenhoop K, Schwarz G, Bingley P, Lewis V, Drummond V, Gale EA, Bottazzo GF. Restriction fragment length polymorphism analysis of HLA haplotypes in families with type I diabetes mellitus. Tissue Antigens 1990; 35:32-9. [PMID: 1968292 DOI: 10.1111/j.1399-0039.1990.tb01752.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
HLA Class II polymorphisms were analysed in 27 families with at least one Type I diabetic proband using Southern blotting technique according to 10th Histocompatibility Workshop Standards. The probes used were DRB, DQA1, DQB1 and DOB. We have studied 108 haplotypes and performed segregation analysis with HLA serology and restriction fragment length polymorphism (RFLP) data and compared "affected" with "non-affected" haplotypes (not inherited by IDDM patients). RFLPs correlated well with DR and DQ serology and detected additional polymorphisms. In particular, DQB polymorphism analysis showed segregation of the DQw3 splits with 88.5% of the DR4 affected haplotypes bearing the DQw3.2 split (now DQw8) and 11.5% the DQw3.1 split (now DQw7) while in the non-affected DR4 haplotypes 33.3% were DQw3.2 and 66.6% were DQw3.1. Haplotype analysis showed that DR4-DQw3.2 was in strong linkage with the U fragment (2.1 kb Taq I) of DQA2 (DX alpha) and with the L fragment (5.4 kb BamH I) of DOB. This study confirms previous observations of DQB polymorphisms in heterozygous IDDM patients, supports the protective effect of DQw3.1 (DQw7) against the development of the disease and demonstrates the importance of DQw3.2 (DQw8) for susceptibility to Type I diabetes.
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Affiliation(s)
- K Badenhoop
- Department of Diabetes and Immunogenetics, St. Bartholomew's Hospital, London, England
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10
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Badenhoop K, Schwarz G, Bingley P, Trowsdale J, Usadel KH, Gale EA, Bottazzo GF. TNF-alpha gene polymorphisms: association with type I (insulin-dependent) diabetes mellitus. J Immunogenet 1989; 16:455-60. [PMID: 2577113 DOI: 10.1111/j.1744-313x.1989.tb00494.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The localization of TNF genes on the short arm of chromosome 6 between HLA B and the complement genes focused attention to that genetic region which harbors many immunologically relevant genes and is also thought to hold susceptibility genes for a variety of autoimmune diseases that are linked to specific alleles of particular loci in the HLA D region. Since the recently established HLA-DR-DQ variation accounts only for part of the genetic susceptibility to insulin-dependent diabetes mellitus (IDDM) we searched for genomic variation of the tumour necrosis factor (TNF) alpha. We have identified a TNF-alpha restriction fragment length polymorphism (RFLP) with NcoI and analysed diabetic patients including their families, controls and homozygous typing cell lines (HTC) defined by the 10th International Histocompatibility Workshop. Segregation analysis in families and HTC results show a strong linkage of the TNF-alpha 5.5 kb allele with DR types in particular with A1B8DR3. This tight linkage of TNF-alpha alleles with extended haplotypes and the significant increase of heterozygotes in patients could lead to some explanation of the DR3 association with a variety of autoimmune diseases particularly IDDM.
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Affiliation(s)
- K Badenhoop
- Department of Diabetes and Immunogenetics, St. Bartholomew's Hospital, London, U.K
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