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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care 2023; 46:e151-e199. [PMID: 37471273 PMCID: PMC10516260 DOI: 10.2337/dci23-0036] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B. Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA
| | - George L. Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, IL
| | - David E. Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA
| | - Andrea R. Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E. Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL
| | - David M. Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA
| | - M. Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Clin Chem 2023:hvad080. [PMID: 37473453 DOI: 10.1093/clinchem/hvad080] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, United States
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA, United States
| | - George L Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, ILUnited States
| | - David E Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA, United States
| | - Andrea R Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL, United States
| | - David M Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA, United States
| | - M Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC, United States
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Rahmani B, Gandhi J, Joshi G, Smith NL, Reid I, Khan SA. The Role of Diabetes Mellitus in Diseases of the Gallbladder and Biliary Tract. Curr Diabetes Rev 2020; 16:931-948. [PMID: 32133965 DOI: 10.2174/1573399816666200305094727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 02/18/2020] [Accepted: 02/21/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND The increasing prevalence of diabetes mellitus worldwide continues to pose a heavy burden. Though its gastrointestinal impact is appropriately recognized, the lesser known associations may be overlooked. OBJECTIVE We aim to review the negative implications of diabetes on the gallbladder and the biliary tract. METHODS A MEDLINE® database search of literature was conducted with emphasis on the previous five years, combining keywords such as "diabetes," "gallbladder," and "biliary". RESULTS The association of diabetes to the formation of gallstones, gallbladder cancer, and cancer of the biliary tract are discussed along with diagnosis and treatment. CONCLUSION Though we uncover the role of diabetic neuropathy in gallbladder and biliary complications, the specific individual diabetic risk factors behind these developments is unclear. Also, in addition to diabetes control and surgical gallbladder management, the treatment approach also requires further focus.
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Affiliation(s)
- Benjamin Rahmani
- Department of Physiology and Biophysics, Renaissance School of Medicine at Stony Brook University, Stony Brook,
NY, USA
| | - Jason Gandhi
- Department of Physiology and Biophysics, Renaissance School of Medicine at Stony Brook University, Stony Brook,
NY, USA
- Medical Student Research Institute, St. George’s University School of Medicine, Grenada, West Indies
| | - Gunjan Joshi
- Department of Internal Medicine, Stony Brook Southampton Hospital, Southampton, NY, USA
| | | | - Inefta Reid
- Department of Physiology and Biophysics, Renaissance School of Medicine at Stony Brook University, Stony Brook,
NY, USA
| | - Sardar Ali Khan
- Department of Physiology and Biophysics, Renaissance School of Medicine at Stony Brook University, Stony Brook,
NY, USA
- Department of Urology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Kirkman MS, Lernmark A, Metzger BE, Nathan DM. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Diabetes Care 2011; 34:e61-99. [PMID: 21617108 PMCID: PMC3114322 DOI: 10.2337/dc11-9998] [Citation(s) in RCA: 324] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2010] [Accepted: 02/28/2011] [Indexed: 02/06/2023]
Abstract
BACKGROUND Multiple laboratory tests are used to diagnose and manage patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these tests varies substantially. APPROACH An expert committee compiled evidence-based recommendations for the use of laboratory testing for patients with diabetes. A new system was developed to grade the overall quality of the evidence and the strength of the recommendations. Draft guidelines were posted on the Internet and presented at the 2007 Arnold O. Beckman Conference. The document was modified in response to oral and written comments, and a revised draft was posted in 2010 and again modified in response to written comments. The National Academy of Clinical Biochemistry and the Evidence-Based Laboratory Medicine Committee of the American Association for Clinical Chemistry jointly reviewed the guidelines, which were accepted after revisions by the Professional Practice Committee and subsequently approved by the Executive Committee of the American Diabetes Association. CONTENT In addition to long-standing criteria based on measurement of plasma glucose, diabetes can be diagnosed by demonstrating increased blood hemoglobin A(1c) (HbA(1c)) concentrations. Monitoring of glycemic control is performed by self-monitoring of plasma or blood glucose with meters and by laboratory analysis of HbA(1c). The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of autoantibodies, urine albumin, insulin, proinsulin, C-peptide, and other analytes are addressed. SUMMARY The guidelines provide specific recommendations that are based on published data or derived from expert consensus. Several analytes have minimal clinical value at present, and their measurement is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland, USA.
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Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Kirkman MS, Lernmark A, Metzger BE, Nathan DM. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 2011; 57:e1-e47. [PMID: 21617152 DOI: 10.1373/clinchem.2010.161596] [Citation(s) in RCA: 314] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Multiple laboratory tests are used to diagnose and manage patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these tests varies substantially. APPROACH An expert committee compiled evidence-based recommendations for the use of laboratory testing for patients with diabetes. A new system was developed to grade the overall quality of the evidence and the strength of the recommendations. Draft guidelines were posted on the Internet and presented at the 2007 Arnold O. Beckman Conference. The document was modified in response to oral and written comments, and a revised draft was posted in 2010 and again modified in response to written comments. The National Academy of Clinical Biochemistry and the Evidence Based Laboratory Medicine Committee of the AACC jointly reviewed the guidelines, which were accepted after revisions by the Professional Practice Committee and subsequently approved by the Executive Committee of the American Diabetes Association. CONTENT In addition to long-standing criteria based on measurement of plasma glucose, diabetes can be diagnosed by demonstrating increased blood hemoglobin A(1c) (Hb A(1c)) concentrations. Monitoring of glycemic control is performed by self-monitoring of plasma or blood glucose with meters and by laboratory analysis of Hb A(1c). The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of autoantibodies, urine albumin, insulin, proinsulin, C-peptide, and other analytes are addressed. SUMMARY The guidelines provide specific recommendations that are based on published data or derived from expert consensus. Several analytes have minimal clinical value at present, and their measurement is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD 20892-1508, USA.
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Raha O, Chowdhury S, Dasgupta S, Raychaudhuri P, Sarkar BN, Raju PV, Rao VR. Approaches in type 1 diabetes research: A status report. Int J Diabetes Dev Ctries 2010; 29:85-101. [PMID: 20142874 PMCID: PMC2812756 DOI: 10.4103/0973-3930.53126] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2008] [Accepted: 05/29/2009] [Indexed: 12/18/2022] Open
Abstract
Type 1 diabetes is a multifactorial disease with an early age of onset, in which the insulin producing beta cell of the pancreas are destroyed because of autoimmunity. It is the second most common chronic disease in children and account for 5% to 10% of all diagnosed cases of diabetes. India is having an incidence of 10.6 cases/year/100,000, and recent studies indicate that the prevalence of type 1 diabetes in India is increasing. However in view of poor health care network, there is no monitoring system in the country. Of the 18 genomic intervals implicated for the risk to develop type 1 diabetes, the major histocompatibility complex (MHC) region on chromosome 6p21.31 has been the major contributor estimated to account for 40-50%, followed by 10% frequency of INS-VNTR at 5' flanking region of the insulin gene on chromosome 11p15.5. However, population studies suggest that > 95% of type 1 diabetes have HLA-DR3 or DR4, or both, and in family studies, sibling pairs affected with type 1 diabetes have a non-random distribution of shared HLA haplotypes. As predisposing genetic factors such as HLA alleles are known, immunological interventions to prevent type 1 diabetes are of great interest. In the present study we have reviewed the status of molecular genetics of the disease and the approaches that need to be adopted in terms of developing patient and suitable control cohorts in the country.
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Affiliation(s)
- Oindrila Raha
- Anthropological Survey of India, 27-Jawaharlal Nehru Road, Kolkata, West-Bengal - 700 016, India
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El-Khateeb MS, Mesri S, Juma M, El-Zaheri M, Ajlouni K. Antibodies to glutamic acid decarboxylase in Syrian and Jordanian type I diabetes patients and their siblings. Ann Saudi Med 2003; 23:376-80. [PMID: 16868372 DOI: 10.5144/0256-4947.2003.376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Attempts to identify the earliest events in the autoimmune process in type I diabetes mellitus suggests the glutamic acid decarboxylase (GAD) is one of the first and most important autoantigens. We conducted this study to determine the prevalence of antibodies to glutamic acid decarboxylase (anti-GAD) in both Syrian and Jordanian children with Type I diabetes and their siblings. PATIENTS AND METHODS sera were obtained from 85 Syrian patients with type I diabetes (mean age 13.6 + 5.9 years), from 45 of their siblings (mean age 11 + 6.1 years), from 78 randomly selected Syrian control subjects (mean age 9.9 + 43 years), and from 95 Jordanian patients with type I diabetes (mean age 13.9 + 65 years), from 78 of their siblings (mean age 12.3 + 7.1 years), and from 100 randomly selected Jordanian control subjects (mean age 7.8 + 4.5 years). Sera were analyzed from anti-GAD using the enzyme linked immunosorbent assay (ELISA) technique. RESULTS Prevalence of anti-GAD was 34.1% (29/85) in Syrian type I diabetes patients, 20% (9/45) in their siblings, 1.3% (1/78) in Syrian control subjects, 49.5% (47/95) in Jordanian type I diabetes patients, 23% (18/78) in their siblings, and 2% (2/100) in Jordanian control subjects. Differences between the Syrian and Jordanian type I diabetes groups and their siblings and controls were statistically significant. In patients with less than two years of diabetes duration, the frequency was 88.8% (16/18) for both groups. There was no correlation between sex and anti-GAD levels in their Syrian and Jordanian type I diabetes patients and their siblings. The positivity of anti-GAD tended to be more frequent at the age range of 5 to 8 years in siblings. Anti-GAD titers >90 ng/ml were found in 58.8% of type I diabetes patients and in 38% of siblings who were anti-GAD positive. CONCLUSION Syria and Jordan have prevalence rates of anti-GAD among type I diabetes patients and their siblings that are among the highest reported in the world. Therefore, anti-GAD may be valuable as an early predictive marker for type I diabetes.
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Hoffman WH, Helman SW, Sekul E, Carroll JE, Vega RA. Lambert-Eaton Myasthenic syndrome in a child with an autoimmune phenotype. Am J Med Genet A 2003; 119A:77-80. [PMID: 12707964 DOI: 10.1002/ajmg.a.20022] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We report on a child with a family history of autoimmune defects, who presented at the age of 3(1/2) years with alopecia and Graves disease. He subsequently developed vitiligo and psoriasis. At 9(1/2) years, he developed an autoimmune form of Lambert-Eaton Myasthenic syndrome (LEMS) with a significant elevation of glutamic acid decarboxylase (GAD) autoantibodies. Shortly thereafter he developed chronic urticaria. HLA associations were present for Graves disease, vitiligo, psoriasis, and IgA deficiency. There was also evidence of autoimmunity involving the pancreatic islet cells and gastric parietal cells.
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Affiliation(s)
- William H Hoffman
- Section of Pediatric Endocrinology, Department of Pediatrics, Medical College of Georgia, Augusta, Georgia 30912, USA.
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10
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Sacks DB, Bruns DE, Goldstein DE, Maclaren NK, McDonald JM, Parrott M. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Clin Chem 2002. [DOI: 10.1093/clinchem/48.3.436] [Citation(s) in RCA: 603] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
AbstractBackground: Multiple laboratory tests are used in the diagnosis and management of patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially.Approach: An expert committee drafted evidence-based recommendations for the use of laboratory analysis in patients with diabetes. An external panel of experts reviewed a draft of the guidelines, which were modified in response to the reviewers’ suggestions. A revised draft was posted on the Internet and was presented at the AACC Annual Meeting in July, 2000. The recommendations were modified again in response to oral and written comments. The guidelines were reviewed by the Professional Practice Committee of the American Diabetes Association.Content: Measurement of plasma glucose remains the sole diagnostic criterion for diabetes. Monitoring of glycemic control is performed by the patients, who measure their own plasma or blood glucose with meters, and by laboratory analysis of glycated hemoglobin. The potential roles of noninvasive glucose monitoring, genetic testing, autoantibodies, microalbumin, proinsulin, C-peptide, and other analytes are addressed.Summary: The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are of minimal clinical value at the present time, and measurement of them is not recommended.
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Affiliation(s)
- David B Sacks
- Department of Pathology, Brigham and Women’s Hospital and Harvard Medical School, Thorn 530, 75 Francis St., Boston, MA 02115
| | - David E Bruns
- Department of Pathology, University of Virginia Medical School, PO Box 800214, Charlottesville, VA 22908
| | - David E Goldstein
- Department of Child Health, University of Missouri School of Medicine, 1 Hospital Dr., Columbia, MO 65212
| | - Noel K Maclaren
- Weill Medical College of Cornell University, 1300 York Ave., Suite LC-623, New York, NY 10021
| | - Jay M McDonald
- Department of Pathology, University of Alabama at Birmingham, 701 S. 19th St., Birmingham, AL 35294
- Veterans Administration Medical Center, Birmingham, AL 35233
| | - Marian Parrott
- American Diabetes Association, 1701 Beauregard St., Alexandria, VA 22311
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The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus*. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 2002. [DOI: 10.2337/diacare.25.2007.s5] [Citation(s) in RCA: 338] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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Brod SA, Atkinson M, Lavis VR, Brosnan PG, Hardin DS, Orlander PR, Nguyen M, Riley WJ. Ingested IFN-alpha preserves residual beta cell function in type 1 diabetes. J Interferon Cytokine Res 2001; 21:1021-30. [PMID: 11798459 DOI: 10.1089/107999001317205141] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
Type 1 diabetes mellitus is a chronic disorder that presumably results from an autoimmune destruction of the insulin-producing pancreatic beta cells. The therapeutic potential of interventions aimed at preventing type 1 diabetes can be assessed in newly diagnosed patients. Because there is a historical experience of a low incidence of spontaneous remission in type 1 diabetes mellitus, interventions preserving beta cell function have been used to identify positive therapeutic outcomes. We treated 10 newly diagnosed type 1 diabetes patients with 30,000 IU ingested interferon-alpha (IFN-alpha) within 1 month of diagnosis and examined the difference between baseline and Sustacal-induced (Mead Johnson Nutritionals, Evansville, IN) C-peptide responses, respectively, at 0, 3, 6, 9, and 12 months. Eight of the ten patients showed preserved beta cell function, with at least a 30% increase in stimulated C-peptide levels at 0, 3, 6, 9, and 12 months after initiation of treatment. There was no discernible chemical or clinical toxicity associated with ingested IFN-alpha. Our results support the potential of ingested IFN-alpha to preserve residual beta cell function in recent onset type 1 diabetes mellitus and the testing of IFN-alpha in a placebo-controlled trial.
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Affiliation(s)
- S A Brod
- Department of Neurology, University of Texas Health Science Center-Houston, Houston, TX 77225, USA.
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Bleich D, Polak M, Chen S, Swiderek KM, Lévy-Marchal C. Sera from children with type 1 diabetes mellitus react against a new group of antigens composed of lysophospholipids. HORMONE RESEARCH 2000; 52:86-94. [PMID: 10681638 DOI: 10.1159/000023440] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Several autoantibodies related to Type 1 diabetes mellitus and their corresponding autoantigens have been previously identified. While peptide antigens are more widely recognized, lipid antigens like sulfatides and gangliosides are also known epitopes for the diabetic humoral immune response. Islet cell antibodies (ICA) in Type 1 diabetes are heterogeneous immunoglobulins directed against selected antigens in the islets of Langerhans. Moreover, ICA may be the best predictive marker of disease in family members of patients with Type 1 diabetes. The aims of this study were: (1) to purify lipids from porcine pancreas that contain ICA epitopes; (2) to characterize these lipid antigens, and (3) to use the purified lipids in an assay to detect antibodies in patients with Type 1 diabetes. A unique family of 4 lysophospholipids, 1 fully characterized as lysophosphatidylmyoinositol, partially inhibited ICA staining, and therefore, were considered to be candidate antigens for an ICA immunoassay. Using a dot blot immunoassay, we detected antibodies directed against these phospholipids in 28 out of 46 (61%) diabetic sera, while detecting only 1 false positive out of 28 nondiabetic sera (3.6%; p < 0.0001 comparing diabetic vs. nondiabetic serum). Therefore, lysophospholipid immunoassay positivity is present in sera of Type 1 diabetic patients. Furthermore, we detected 15 out of 23 ICA-negative diabetic sera (65.2%), showing that our phospholipid immunoassay does not correlate with ICA positivity.
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Affiliation(s)
- D Bleich
- Division of Diabetes, Endocrinology and Metabolism, Gonda Research Center, Duarte, CA, USA
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Maclaren N, Lan M, Coutant R, Schatz D, Silverstein J, Muir A, Clare-Salzer M, She JX, Malone J, Crockett S, Schwartz S, Quattrin T, DeSilva M, Vander Vegt P, Notkins A, Krischer J. Only multiple autoantibodies to islet cells (ICA), insulin, GAD65, IA-2 and IA-2beta predict immune-mediated (Type 1) diabetes in relatives. J Autoimmun 1999; 12:279-87. [PMID: 10330299 DOI: 10.1006/jaut.1999.0281] [Citation(s) in RCA: 74] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
We report here our prospective study of 15,224 non-diabetic, first-degree relatives of probands with immune-mediated (type 1) diabetes (IMD), of which 135 were found to eventually develop diabetes. We determined islet cell, insulin, GAD65, insulinoma-associated antigen-2 and 2beta autoantibodies (ICA, IAA, GAD65A, IA-2A and IA-2betaA), on the first available serum samples. The latter three autoantibodies were however assayed on subsets of the relatives with and without ICA, IAA and/or GAD65A, plus most of the relatives who developed diabetes. Of the relatives who progressed to diabetes, 94% had at least one of these autoantibodies on the first screening, while ICA proved to be the most sensitive single marker (sensitivity 74%). Risk of diabetes was however negligible when ICA was found in the absence of the others (5-year risk=5.3%), but increased dramatically whenever two or more autoantibodies were present (5-year risk=28.2% and 66.2%, respectively). The most predictive combination of markers was ICA plus IA-2A and/or IA-2beta A. Loss of first phase insulin release to IVGTT also occurred only in those ICA-positive relatives who had one or more of the other autoantibodies. The data suggests that significant beta-cell damage is seen only when the underlying autoimmunity has spread to multiple antigenic islet cell determinants. Combinations of the autoantibodies occurred most often in relatives with the highest risk HLA-DR/DQ phenotypes. These data document that only relatives positive for at least two or more of these five autoantibodies are at significant risk of diabetes themselves. Intervention trials for the prevention of type 1 diabetes could be designed based on testing for these autoantibodies alone, without the need for HLA typing and IVGTT testing.
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Affiliation(s)
- N Maclaren
- Departments of Pediatrics and Biometry and Genetics, Louisiana State University Medical School at the Research Institute for Children, New Orleans, LA, USA
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Ma S, Jevnikar AM. Autoantigens produced in plants for oral tolerance therapy of autoimmune diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 1999; 464:179-94. [PMID: 10335394 DOI: 10.1007/978-1-4615-4729-7_14] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Oral administration of protein antigens can induce antigen-specific immune hyporesponsiveness and may be useful in treating autoimmune diseases or preventing transplant rejection. However, the therapeutic value of oral tolerance may be limited when candidate autoantigens cannot be produced by conventional system in quantities sufficient for clinical studies. Plants may be ideally suited for this purpose, as they can produce hugh quantities of functional mammalian proteins at extremely competitive cost. Furthermore, transgenic food plants could provide a simple and direct method of autoantigen delivery for oral tolerance. Here we show that the diabetes-associated autoantigen glutamic acid decarboxylase (GAD) is efficiently expressed in both tobacco and potato plants, and that mice, when fed with fresh transgenic potato tubers, are fully protected from diabetes.
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Affiliation(s)
- S Ma
- John P. Robarts Research Institute, University of Western Ontario, London, Canada
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Winter WE. The use of islet autoantibody markers in the prediction of autoimmune type 1 diabetes. ACTA ACUST UNITED AC 1999. [DOI: 10.1016/s0197-1859(00)80037-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Yamamoto AM, Deschamps I, Garchon HJ, Roussely H, Moreau N, Beaurain G, Robert JJ, Bach JF. Young age and HLA markers enhance the risk of progression to type 1 diabetes in antibody-positive siblings of diabetic children. J Autoimmun 1998; 11:643-50. [PMID: 9878086 DOI: 10.1006/jaut.1998.0244] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The contribution of autoantibodies, HLA markers and age to long-term estimates of risk of type 1 diabetes were examined after a median of 11 years (range 7.5-14) during the follow-up in a cohort of 234 siblings (aged 2-29 years) of French children with recent-onset type 1 diabetes, of whom 12 (5.1%) developed diabetes. We evaluated islet cell antibodies (ICA) by indirect immunofluorescence and autoantibodies to insulin (IAA), to the 65 kDa isoform of glutamic acid decarboxylase (GADA) and to the IA-2 protein (IA-2A) by radioligand assay in sequential serum samples. Among the 234 siblings of type 1 diabetic patients screened, 27 were positive for at least one antibody, 11 of whom progressed to develop type 1 diabetes during the follow-up (sensitivity, 92%, predictive value, 41%). Among the four antibodies tested individually, ICA had the highest sensitivity (83%) but a poor predictive value (59%) and IA-2A the highest predictive value (70%). IAA and GADA both exhibited poor sensitivity and predictive value. Combinations of antibodies achieved better predictive values than antibodies tested individually. Satisfactory predictive values were obtained for the combination of GADA with IA-2A (83%), for any combination of at least two antibodies other than ICA (70%) and for the combination of ICA with at least one other antibody (69%). The risk estimates were highest in the presence of three or four antibodies, whether comprising ICA or not, but with a concomitant loss of sensitivity. For most antibody combinations, cumulative risks showed progression from approximately 50% after 5 years to 100% after 13 years. HLA-DR3/4 was significantly more frequent in siblings developing type 1 diabetes than in non-diabetic siblings (9/12 vs. 39/217, relative risk (RR)=14, P</=0.0001). The predictive value of HLA-DR3/4 was low (19%); however, taking into account the presence of HLA-DR3/4 in subjects who were positive for more than one antibody resulted in a higher predictive value (67%, vs. 20% in non-DR3/4 subjects, P</=0.02). In addition, siblings developing diabetes were younger at entry than those who did not (mean =7.5 +/-1.23 vs. 12.5 +/-0.39 years, respectively; P</=0.01). Ten of 12 were aged less than 10 years compared with 106/222 non-diabetic siblings (RR =5.4, P</=0.03). Moreover, younger age was associated with a more rapid development of type 1 diabetes. In conclusion, our results show that the combination of IAA, GADA and IA-2A autoantibodies in sequential serum samples is satisfactory for the identification of subjects at risk of developing type 1 diabetes. Additional factors such as younger age and HLA-DR3/4 as markers of progression to disease may contribute to more efficient prediction in antibody positive subjects.
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Affiliation(s)
- A M Yamamoto
- Service d'Immunologie, Hôpital Necker, Paris, France.yamamoto@necker. fr
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18
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Abstract
A number of important areas of controversy remain in the management of diabetes in the pediatric population. From the fluid regimen used to reverse the dehydration associated with DKA to the glycemic targets and insulin schedules suggested for young children, to the evaluation of and treatment algorithms for older children and teens suspected of having type 2 diabetes, specific data need to be derived in the pediatric population to optimize outcome and reduce risk. While further studies continue to attempt to resolve many of these important issues, those caring for children and adolescents must remain cautious.
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Affiliation(s)
- F R Kaufman
- Department of Pediatrics, University of Southern California School of Medicine, Los Angeles, USA
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Ramiya VK, Shang XZ, Wasserfall CH, Maclaren NK. Effect of oral and intravenous insulin and glutamic acid decarboxylase in NOD mice. Autoimmunity 1998; 26:139-51. [PMID: 9550282 DOI: 10.3109/08916939708994736] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Islet cell antigens have been administered orally and intravenously (I.V.) to NOD mice to assess their abilities to protect from or delay the onset of diabetes, and thereby provide insights that may have therapeutic implications in human trials. Whereas we and others have observed a delay in the onset of diabetes in NOD mice that have been fed with insulin from early life, we report here for the first time that feedings with porcine GAD65 alone (p = 0.226) or in combination with insulin (p = 0.011), have anti-diabetic effects in a prolonged study period (>400 days). While antigen-specific inhibitions of in vitro lymphocytic proliferation responses were seen (p < 0.05), antibody levels were unaffected by oral antigen treatments. IFN-gamma mRNA levels were downregulated in the islet infiltrates following oral antigen treatments while IL-2 and TNF-beta were expressed in all instances. We also observed that I.V. human recombinant GAD65, and porcine GAD given at weaning, delayed diabetes onset (p = 0.004) while similar treatments with a variety of inactive insulin preparations were generally ineffective. These findings thus indicate varying effects of oral and I.V. autoantigen administrations on the development of diabetes in NOD mice, and describe the immunological processes induced by oral autoantigen treatments.
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Affiliation(s)
- V K Ramiya
- Department of Pathology and Laboratory Medicine, University of Florida, Gainesville, USA
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20
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Kulmala P, Savola K, Petersen JS, Vähäsalo P, Karjalainen J, Löppönen T, Dyrberg T, Akerblom HK, Knip M. Prediction of insulin-dependent diabetes mellitus in siblings of children with diabetes. A population-based study. The Childhood Diabetes in Finland Study Group. J Clin Invest 1998; 101:327-36. [PMID: 9435304 PMCID: PMC508571 DOI: 10.1172/jci119879] [Citation(s) in RCA: 179] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
An unselected population of 755 siblings of children with insulin-dependent diabetes mellitus (IDDM) was studied to evaluate the predictive characteristics of islet cell antibodies (ICA), antibodies to the IA-2 protein (IA-2A), antibodies to the 65-kD isoform of glutamic acid decarboxylase (GADA), insulin autoantibodies (IAA), and combinations of these markers. We also evaluated whether the histochemical ICA test could be replaced by the combined detection of other markers. 32 siblings progressed to IDDM within 7.7 yr of the initial sample taken at or close to the diagnosis of the index case (median follow-up, 9.1 yr). The positive predictive values of ICA, IA-2A, GADA, and IAA were 43, 55, 42, and 29%, and their sensitivities 81, 69, 69, and 25%, respectively. In contrast to the other three antibody specificities, GADA levels were not related to the risk for IDDM. The risk for IDDM in siblings with four, three, two, one, or no antibodies was 40, 70, 25, 2, and 0.8%, respectively. Combined screening for IA-2A and GADA identified 70% of all ICA-positive siblings, and all of the ICA-positive progressors were also positive for at least one of the three other markers. The sensitivity of the combined analysis of IA-2A and GADA was 81%, and the positive predictive value was 41%. In conclusion, combined screening for IA-2A and GADA may replace the ICA assay, giving comparable sensitivity, specificity, and positive predictive value. Accurate assessment of the risk for IDDM in siblings is complicated, as not even all those with four antibody specificities contract the disease, and some with only one or no antibodies initially will progress to IDDM.
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Affiliation(s)
- P Kulmala
- Department of Pediatrics, University of Oulu, FIN-90220 Oulu, Finland
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21
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22
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Lan MS, Wasserfall C, Maclaren NK, Notkins AL. IA-2, a transmembrane protein of the protein tyrosine phosphatase family, is a major autoantigen in insulin-dependent diabetes mellitus. Proc Natl Acad Sci U S A 1996; 93:6367-70. [PMID: 8692821 PMCID: PMC39028 DOI: 10.1073/pnas.93.13.6367] [Citation(s) in RCA: 169] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
IA-2 is a 105,847 Da transmembrane protein that belongs to the protein tyrosine phosphatase family. Immunoperoxidase staining with antibody raised against IA-2 showed that this protein is expressed in human pancreatic islet cells. In this study, we expressed the full-length cDNA clone of IA-2 in a rabbit reticulocyte transcription/translation system and used the recombinant radiolabeled IA-2 protein to detect autoantibodies by immunoprecipitation. Coded sera (100) were tested: 50 from patients with newly diagnosed insulin-dependent diabetes mellitus (IDDM) and 50 from age-matched normal controls. Sixty-six percent of the sera from patients, but none of the sera from controls, reacted with IA-2. The same diabetic sera tested for autoantibodies to islet cells (ICA) by indirect immunofluorescence and glutamic acid decarboxylase (GAD65Ab) by depletion ELISA showed 68% and 52% positivity, respectively. Up to 86% of the IDDM patients had autoantibodies to IA-2 and/or GAD65. Moreover, greater than 90% (14 of 15) of the ICA-positive but GAD65Ab-negative sera had autoantibodies to IA-2. Absorption experiments showed that the immunofluorescence reactivity of ICA-positive sera was greatly reduced by prior incubation with recombinant IA-2 or GAD65 when the respective antibody was present. A little over one-half (9 of 16) of the IDDM sera that were negative for ICA were found to be positive for autoantibodies to IA-2 and/or GAD65, arguing that the immunofluorescence test for ICA is less sensitive than the recombinant tests for autoantibodies to IA-2 and GAD65. It is concluded that IA-2 is a major islet cell autoantigen in IDDM, and, together with GAD65, is responsible for much of the reactivity of ICA with pancreatic islets. Tests for the detection of autoantibodies to recombinant IA-2 and GAD65 may eventually replace ICA immunofluorescence for IDDM population screening.
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Affiliation(s)
- M S Lan
- Laboratory of Oral Medicine, National Institute of Dental Research, National Institutes of Health, Bethesda, MD 20892-4322, USA
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23
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Abstract
Insulin-dependent diabetes mellitus (IDD) affects between one in 250 and one in 500 Americans. The inheritance of IDD is non-Mendelian and polygenic. Genetic susceptibility predominantly results from specific alleles in the HLA complex and insulin gene region. Autoimmune destruction of pancreatic beta cells leads to profound insulinopenia (Atkinson and Maclaren, 1990). Without insulin treatment, fatal diabetic ketoacidosis results. Even with insulin treatment, after 10 to 20 years of IDD, devastating micro- and macrovascular complications lead to significant morbidity and premature mortality (Rosenbloom, 1983). In order to prevent this catastrophic disease and its consequences, we must understand the pathogenesis and immunogenetics of insulitis (the histologic lesion characteristic of IDD), whose ultimate expression is beta cell necrosis (Cudworth, 1978; Cahill and McDevitt, 1981; Eisenbarth, 1986). Current advances include recognition of new IDD-autoantigens (e.g., glutamic acid decarboxylase), susceptibility genes (e.g., HLA-DQB1*0201 and 0302), and the development of trials to prevent IDD through tolerization to IDD-autoantigens (e.g., insulin) (Maclaren, 1993; Winter et al., 1993). Unlocking the genetic mechanisms responsible for IDD can also reveal more general mechanisms involved in other organ-specific autoimmune diseases.
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Affiliation(s)
- W E Winter
- Department of Pathology and Laboratory Medicine, University of Florida, Gainesville 32610-0275, USA
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24
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Abstract
Autoantigens in insulin-dependent diabetes serve as diagnostic markers and as potential therapeutic immunomodulators. Recent studies have focused particularly on two well studied molecules, glutamic acid decarboxylase and insulin, as well as several new antigens that have been recently identified, recognized by antibody and/or cell-mediated immune responses in diabetic patients. Temporal aspects of antigen exposure, antigen processing of specific peptide antigens, and the interplay between specific antigens, MHC genetics, and host T-cell responses remain to be explored.
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Affiliation(s)
- G T Nepom
- Virginia Mason Research Center, Seattle, WA 98101, USA
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25
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Abstract
Despite current treatment advances, insulin-dependent diabetes mellitus (IDD) is still associated with high morbidity and mortality, and with a huge financial burden both to the individual and society. Enhanced understanding of the natural history of the prediabetic period has made the disease predictable in both higher risk nondiabetic relatives and in the general population. Investigators around the world are now collaborating on three separate multicenter, randomized, controlled trials aimed at preventing the disease in at-risk individuals, engendering cautious optimism that the days are not too far away when IDD can safely be prevented.
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Affiliation(s)
- A Muir
- The Departments of Pathology and Laboratory Medicine, University of Florida, Gainesville, FL 32610, USA
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