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Sensitive detection of multiple islet autoantibodies in type 1 diabetes using small sample volumes by agglutination-PCR.
Cortez, Felipe de Jesus; Gebhart, David; Robinson, Peter V; Seftel, David; Pourmandi, Narges; Owyoung, Jordan; Bertozzi, Carolyn R; Wilson, Darrell M; Maahs, David M; Buckingham, Bruce A; Mills, John R; Roforth, Matthew M; Pittock, Sean J; McKeon, Andrew; Page, Kara; Wolf, Wendy A; Sanda, Srinath; Speake, Cate; Greenbaum, Carla J; Tsai, Cheng-Ting.
Affiliation
  • Cortez FJ; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Gebhart D; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Robinson PV; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Seftel D; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Pourmandi N; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Owyoung J; Enable Biosciences Inc., South San Francisco, CA, United States of America.
  • Bertozzi CR; Department of Chemistry, Stanford University, Stanford, CA, United States of America.
  • Wilson DM; Stanford Diabetes Research Center, Stanford, CA, United States of America.
  • Maahs DM; Stanford Diabetes Research Center, Stanford, CA, United States of America.
  • Buckingham BA; Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America.
  • Mills JR; Stanford Diabetes Research Center, Stanford, CA, United States of America.
  • Roforth MM; Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America.
  • Pittock SJ; Stanford Diabetes Research Center, Stanford, CA, United States of America.
  • McKeon A; Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America.
  • Page K; Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
  • Wolf WA; Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
  • Sanda S; Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
  • Speake C; Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
  • Greenbaum CJ; Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
  • Tsai CT; Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America.
PLoS One ; 15(11): e0242049, 2020.
Article in En | MEDLINE | ID: mdl-33186361
ABSTRACT
Islet autoantibodies are predominantly measured by radioassay to facilitate risk assessment and diagnosis of type 1 diabetes. However, the reliance on radioactive components, large sample volumes and limited throughput renders radioassay testing costly and challenging. We developed a multiplex analysis platform based on antibody detection by agglutination-PCR (ADAP) for the sample-sparing measurement of GAD, IA-2 and insulin autoantibodies/antibodies in 1 µL serum. The assay was developed and validated in 7 distinct cohorts (n = 858) with the majority of the cohorts blinded prior to analysis. Measurements from the ADAP assay were compared to radioassay to determine correlation, concordance, agreement, clinical sensitivity and specificity. The average overall agreement between ADAP and radioassay was above 91%. The average clinical sensitivity and specificity were 96% and 97%. In the IASP 2018 workshop, ADAP achieved the highest sensitivity of all assays tested at 95% specificity (AS95) rating for GAD and IA-2 autoantibodies and top-tier performance for insulin autoantibodies. Furthermore, ADAP correctly identified 95% high-risk individuals with two or more autoantibodies by radioassay amongst 39 relatives of T1D patients tested. In conclusion, the new ADAP assay can reliably detect the three cardinal islet autoantibodies/antibodies in 1µL serum with high sensitivity. This novel assay may improve pediatric testing compliance and facilitate easier community-wide screening for islet autoantibodies.
Subject(s)

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Autoantibodies / Islets of Langerhans / Agglutination / Diabetes Mellitus, Type 1 Type of study: Diagnostic_studies / Risk_factors_studies / Screening_studies Limits: Adolescent / Adult / Female / Humans / Male Language: En Journal: PLoS One Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Autoantibodies / Islets of Langerhans / Agglutination / Diabetes Mellitus, Type 1 Type of study: Diagnostic_studies / Risk_factors_studies / Screening_studies Limits: Adolescent / Adult / Female / Humans / Male Language: En Journal: PLoS One Year: 2020 Document type: Article