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Heterophile antibodies segregate in families and are associated with protection from type 1 diabetes

  • J. X. She
    ,
  • T. M. Ellis
    ,
  • S. B. Wilson
    ,
  • C. H. Wasserfall
    ,
  • M. Marron
    ,
  • S. Reimsneider
*Corresponding author for this work
  • University of Florida
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Markedly elevated levels of serum IL-4 were reported previously in 50% of a small group of type 1 diabetes nonprogessors. To determine the patterns of expression for this phenotype, a larger cohort of 58 families containing type I diabetic patients was examined. Analysis of the two-site ELISA assay used to measure serum IL-4 revealed evidence for heterophile antibodies, i.e., nonanalyte substances in serum capable of binding antibodies mutivalently and providing erroneous analyte (e.g., IL-4) quantification. Interestingly, relatives without type 1 diabetes were significantly more likely to have this phenotype than were patients with the disease (P = 0.003). In addition, the trait appears to have clustered within certain families and was associated with the protective MHC allele DQB1*0602 (P = 0.008). These results suggest that heterophile antibodies represent an in vivo trait associated with self-tolerance and nonprogression to diabetes.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 8116-8119 (4 pages)

Journal (Volume, Issue Number)

Proceedings of the National Academy of Sciences of the United States of America (Volume 96, Issue 14)

Publication milestones

  • Published - 07/06/1999

Publication status

Published - 07/06/1999

ISSN

0027-8424

Publication IDs

  • Scopus: 0033529234
  • PubMed: 10393957

Publication metrics

Metrics

Fractional count
1
Fractional count
0.08
Fractional count
11
Fractional count
0.92
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
citations
21
SciVal
FWCI
0.44
SciVal
Author count
12
SciVal
Paper percentile
70

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Captures
8
Citation count
22

Funding Details

FunderFunding number
NIDDK
R01DK053103