Evidence map›Paper›PMID 39354095›Full record

ArticleDiabetologia2024

Progression to type 1 diabetes in the DPT-1 and TN07 clinical trials is critically associated with specific residues in HLA-DQA1-B1 heterodimers.

Lue Ping Zhao, George K Papadopoulos, Jay S Skyler, Alberto Pugliese, Hemang M Parikh, William W Kwok, Terry P Lybrand, George P Bondinas, Antonis K Moustakas, Ruihan Wang and 4 more

Abstract read
In one paragraph

Article in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

14 authors.

Lue Ping ZhaoPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
George K PapadopoulosLaboratory of Biophysics, Biochemistry, Biomaterials and Bioprocessing, Faculty of Agricultural Technology, Technological Educational Institute (TEI) of Epirus, Arta, Greece.
Jay S SkylerDiabetes Research Institute and Division of Endocrinology, Diabetes & Metabolism, University of Miami Miler School of Medicine, Miami, FL, USA.
Alberto PuglieseDepartment of Diabetes Immunology, City of Hope, South Pasadena, CA, USA.
Hemang M ParikhHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
William W KwokBenaroya Research Institute, Seattle, WA, USA.
Terry P LybrandDepartment of Chemistry, Vanderbilt University, Nashville, TN, USA.
George P BondinasDepartment of Food Science and Technology, Faculty of Environmental Sciences, Ionian University, Argostoli, Cephalonia, Greece.
Antonis K MoustakasDepartment of Food Science and Technology, Faculty of Environmental Sciences, Ionian University, Argostoli, Cephalonia, Greece.
Ruihan WangClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Chul-Woo PyoClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Wyatt C NelsonClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Daniel E GeraghtyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Åke LernmarkDepartment of Clinical Sciences, Lund University CRC, Skåne University Hospital, Malmö, Sweden. ake.lernmark@med.lu.se.

Funding

Characterizing Immunogenetics in Type 1 DiabetesR01DK132406 · NIDDK · FRED HUTCHINSON CANCER CENTER · PI GERAGHTY, DANIEL E., LERNMARK, AKE · 2023 to 2025
$1.7M
NIDDK NIH HHS R01 DK132406
6 · The paper itself

Abstract

aims/hypothesisThe aim of this work was to explore molecular amino acids (AAs) and related structures of HLA-DQA1-DQB1 that underlie its contribution to the progression from stages 1 or 2 to stage 3 type 1 diabetes.

methodsUsing high-resolution DQA1 and DQB1 genotypes from 1216 participants in the Diabetes Prevention Trial-Type 1 and the Diabetes Prevention Trial, we applied hierarchically organised haplotype association analysis (HOH) to decipher which AAs contributed to the associations of DQ with disease and their structural properties. HOH relied on the Cox regression to quantify the association of DQ with time-to-onset of type 1 diabetes.

resultsBy numerating all possible DQ heterodimers of α- and β-chains, we showed that the heterodimerisation increases genetic diversity at the cellular level from 43 empirically observed haplotypes to 186 possible heterodimers. Heterodimerisation turned several neutral haplotypes (DQ2.2, DQ2.3 and DQ4.4) to risk haplotypes (DQ2.2/2.3-DQ4.4 and DQ4.4-DQ2.2). HOH uncovered eight AAs on the α-chain (-16α, -13α, -6α, α22, α23, α44, α72, α157) and six AAs on the β-chain (-18β, β9, β13, β26, β57, β135) that contributed to the association of DQ with progression of type 1 diabetes. The specific AAs concerned the signal peptide (minus sign, possible linkage to expression levels), pockets 1, 4 and 9 in the antigen-binding groove of the α1β1 domain, and the putative homodimerisation of the αβ heterodimers. CONCLUSIONS/

interpretationThese results unveil the contribution made by DQ to type 1 diabetes progression at individual residues and related protein structures, shedding light on its immunological mechanisms and providing new leads for developing treatment strategies. DATA AVAILABILITY: Clinical trial data and biospecimen samples are available through the National Institute of Diabetes and Digestive and Kidney Diseases Central Repository portal ( https://repository.niddk.nih.gov/studies ).

Indexed as

Diabetes Mellitus, Type 1Disease ProgressionHaplotypesHLA-DQ alpha-ChainsHLA-DQ beta-ChainsFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleProtein MultimerizationHLA-DQA1 antigenHLA-DQ alpha-ChainsHLA-DQB1 antigenHLA-DQ beta-ChainsAmino acidsHLAImmunogeneticsIslet autoimmunityProgressionSeroconversionType 1 diabetes

Identifiers

PMID39354095
PMCPMC11519105

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Registered trials

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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.