Home LiteratureArticle Details
PMID: 9357409 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

UKPDS 25: autoantibodies to islet-cell cytoplasm and glutamic acid decarboxylase for prediction of insulin requirement in type 2 diabetes. UK Prospective Diabetes Study Group.

Lancet (London, England) ·Vol. 350 ·No. 9087 ·1997-11-01 ·Pages 1288-93

Turner R, Stratton I, Horton V, Manley S, Zimmet P, Mackay IR, Shattock M, Bottazzo GF, Holman R

Abstract

Autoantibodies to islet-cell cytoplasm (ICA) and glutamic acid decarboxylase (GADA) can occur in apparently typical, non-insulin dependent diabetes mellitus (type 2). We investigated whether the presence of either or both antibodies characterises a subtype of diabetes and provides better prediction of requirement for insulin therapy by 6 years' follow-up than clinical variables. We measured ICA and GADA at diagnosis of diabetes in a representative population of 3672 white patients with type 2 diabetes, aged between 25 and 65 years. The phenotype was assessed by age of onset, body-mass index, percentage haemoglobin A1c (HbA1c), and islet beta-cell function. We investigated the need for insulin therapy among 1538 patients not assigned insulin and followed up for 6 years from diagnosis. The proportion of patients with ICA and GADA decreased with increasing age at diagnosis (from 33 [21%] of 157 patients aged 25-34 [corrected] to 66 [4%] of 1769 aged 55-65 for ICA; from 53 [34%] to 122 [7%] for GADA). Among patients younger than 35 at diagnosis, those with ICA or GADA had lower body-mass index than those without (mean 24.9 [SD 6.0] vs 31.7 [7.3] kg/m2; p < 0.0001 and had higher percentage of HbA1c (9.7 vs 8.7%, p < 0.05). 94% of patients with ICA and 84% of those with GADA required insulin therapy by 6 years, compared with 14% of those without the antibodies (p < 0.0001). Among patients older than 55 at diagnosis, the difference between those with and without antibodies in body-mass index was smaller (27.2 [5.4] vs 28.6 [4.8] kg/m2, p < 0.001); 44% of those with ICA, 34% of those with GADA, and 5% with neither antibody required insulin therapy by 6 years (p < 0.0001). Among patients older than 45 years, body-mass index and HbA1c provided little predictive information for insulin requirement, whereas the positive predictive values of GADA (> or = 60 U/L) alone, or both GADA (> or = 20 U/L) and ICA (> 5 U/L), for insulin therapy were 52% and 68%. Among young adults with type 2 diabetes, the phenotype of those with ICA or GADA antibodies was similar to that of classic juvenile-onset insulin-dependent diabetes, and either phenotype or antibodies predicted insulin requirement. In older adults, the phenotype was closer to that of patients without antibodies and only the presence of antibodies predicted an increased likelihood of insulin requirement.

MeSH Terms
Adult Age Factors Aged Autoantibodies/analysis Cytoplasm/immunology Diabetes Mellitus, Type 2/drug therapy,immunology Female Follow-Up Studies Glutamate Decarboxylase/immunology Humans Insulin/therapeutic use Islets of Langerhans/immunology,ultrastructure Male Middle Aged Odds Ratio Phenotype Sensitivity and Specificity
Chemicals
Autoantibodies Insulin Glutamate Decarboxylase
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Turner R
Diabetes Research Laboratories, Radcliffe Infirmary, Oxford, UK.
Stratton I
Horton V
Manley S
Zimmet P
Mackay I R
Shattock M
Bottazzo G F
Holman R
Article Info
Journal
Lancet (London, England)
Abbr.
Lancet
ISSN
0140-6736
Published
1997-11-01
Pages
1288-93
Language
English
Region
England
NLM ID
2985213R
Subset
IM
Corrections
ErratumIn
-
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]