A quantitative method for circulating islet cell surface antibodies (ICSA), based on the binding of125I-protein A to insulin-producing RINm5F cells, was used to evaluate ICSA in plasma of 4- to 40-week-old Aston obese hyperglycaemic (ob/ob) mice and normal control (+/+) mice. RINm5F cells bound 2502 ± l196 c.p.m.125I-protein A per 105 cells (mean ± S.D., n = 54) after incubation with +/+ plasma. ICSA positive plasma (defined as125I-protein A binding, mean ± 2 S.D. of +/+ plasma) was detected in 3 out of 54+/+ mice and 3 out of 54 ob/ob mice. ICSA were not observed in ob/ob mice before the onset of diabetes (7 weeks of age), but were detected at 9, 20 and 40 weeks. At 20 weeks125I-protein A binding produced by ob/ob plasma was 35% greater than +/+ plasma (P < 0.05). The low occurrence of ICSA in ob/ob mice (6%) suggests that factors other than ICSA are responsible for B-cell dysfunction and eventual islet degeneration observed in Aston ob/ob mice.
Skip Nav Destination
Article navigation
Research Article|
September 01 1985
Islet cell surface antibodies in genetically obese hyperglycaemic (ob/ob) mice
Peter R. Flatt;
Peter R. Flatt
1Department of Biochemistry, University of Surrey, Guildford, UK
Search for other works by this author on:
Adrian J. Bone;
Adrian J. Bone
2Metabolic Unit, Western General Hospital, Edinburgh, UK
Search for other works by this author on:
Clifford J. Bailey
Clifford J. Bailey
3Department of Molecular Sciences, Aston University, Birmingham, UK
Search for other works by this author on:
Publisher: Portland Press Ltd
Received:
August 05 1985
Online ISSN: 1573-4935
Print ISSN: 0144-8463
© 1985 The Biochemical Society
1985
Biosci Rep (1985) 5 (9): 715–720.
Article history
Received:
August 05 1985
Citation
Peter R. Flatt, Adrian J. Bone, Clifford J. Bailey; Islet cell surface antibodies in genetically obese hyperglycaemic (ob/ob) mice. Biosci Rep 1 September 1985; 5 (9): 715–720. doi: https://doi.org/10.1007/BF01119868
Download citation file:
Sign in
Don't already have an account? Register
Sign in to your personal account
You could not be signed in. Please check your email address / username and password and try again.
Captcha Validation Error. Please try again.