Evidence map›Paper›PMID 8897011›Full record

ArticleDiabetologia1996

Association of IA-2 autoantibodies with HLA DR4 phenotypes in IDDM.

S Genovese, R Bonfanti, E Bazzigaluppi, V Lampasona, E Benazzi, E Bosi, G Chiumello, E Bonifacio

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Article in Diabetologia, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 86 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

S GenoveseDepartment of Internal Medicine, Istituto Scientifico San Raffaele, University of Milan, Italy.
R Bonfanti
E Bazzigaluppi
V Lampasona
E Benazzi
E Bosi
G Chiumello
E Bonifacio
San Raffaele University of Rome · ITUniversity of Milan · IT

Funding

Telethon E.0587Telethon TGT06S01
6 · The paper itself

Abstract

Insulin, glutamate decarboxylase (GAD) and the protein tyrosine phosphatase-like molecule IA-2 are major targets of humoral autoimmunity in insulin-dependent diabetes mellitus (IDDM). These autoantibodies are heterogeneous with respect to age and patient human leukocyte antigen (HLA) phenotype. We have previously demonstrated that GAD and IA-2 antibodies potentially identify different subsets of IDDM patients. The aim of this study was to determine whether GAD and IA-2 autoantibodies were associated with different HLA DR phenotypes. We studied 160 patients with IDDM onset before age 16 years. At disease onset serum was tested for GAD and IA-2 antibodies by immunoprecipitation by in vitro-translated 35S-methionine labelled recombinant proteins. IA-2 antibodies were significantly associated with HLA DR4: 67 (86%) of 78 patients with HLA DR4 vs 31 (38%) of 82 non-DR4 patients had IA-2 antibodies (Pc < 0.0001) and IA-2 antibody levels were higher in patients with HLA DR4 (Pc < 0.0001). In contrast, GAD antibodies were more prevalent (Pc < 0.05) and antibody levels highest (Pc < 0.01) in patients with HLA DR3 phenotypes. These data provide further evidence that, in IDDM, production and titre of major autoantibody specificities are associated with HLA class II alleles.

Indexed as

AllelesAutoantibodiesAutoantigensChildChild, PreschoolDiabetes Mellitus, Type 1Glutamate DecarboxylaseHistocompatibility TestingHLA-DR3 AntigenHLA-DR4 AntigenHumansImmunophenotypingInfantMembrane ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 1Protein Tyrosine PhosphatasesAutoantibodiesAutoantigensGlutamate DecarboxylaseHLA-DR3 AntigenHLA-DR4 AntigenMembrane ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 1Protein Tyrosine PhosphatasesPTPRN protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 8

Identifiers

PMID8897011
OpenAlexW2072081606

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.