ReviewCurrent opinion in endocrinology, diabetes, and obesity2019
Rationally designed small molecules to prevent type 1 diabetes.
Review in Current opinion in endocrinology, diabetes, and obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 7 papers.
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.
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.
Open Label Pilot Study of the Effect of Methyldopa on MHC-II Antigen Presentation in Type 1 Diabetes
A Phase 1b, Randomized, Single-blind, Placebo-controlled, Multiple Ascending Dose (MAD) Study to Assess the Steady-State Pharmacokinetics and DQ8 Blocking Efficacy of Orally Administered IMT-002 in Patients With Type 1 Diabetes and HLA-DQ8
Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Genetic association stratified by HLA-DR3 and HLA-DR4 status reveals heterogeneity in pathways of progression to type 1 diabetes.Diabetologia · 2026Article
- Genetic Risk and Transition Through Preclinical Stages of Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2026Article
- MHC Class II Presentation in Autoimmunity.Cells · 2023Review
- Novel approaches to the treatment of type 1 diabetes.Journal of diabetes · 2022Article
- Association of High-Affinity Autoantibodies With Type 1 Diabetes High-Risk HLA Haplotypes.The Journal of clinical endocrinology and metabolism · 2022Article
- Self-Antigens Targeted by Regulatory T Cells in Type 1 Diabetes.International journal of molecular sciences · 2022Review
- T cell receptor sequencing in autoimmunity.Journal of life sciences (Westlake Village, Calif.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
purpose of reviewTo review the recent findings that small 'drug-like' compounds block disease-specific human leukocyte antigen (HLA) molecules in type 1 diabetes (T1D). RECENT
findingsThe predominant genetic risk for developing T1D, the immune-mediated form of diabetes, is conferred through HLA genes. One such gene, termed HLA-DQ8, is present in 50-60% of patients with T1D and those at-risk. DQ8 presents disease-relevant peptides to T cells, which mediate tissue-specific destruction of pancreatic islets. Using a structure-based approach to evaluate the 'druggability' of the DQ8 molecule, methyldopa, a clinically well-established oral antihypertensive agent, was discovered to bind DQ8. Methyldopa blocked the activation of DQ8-specific T cells responding to self-antigens such as insulin but not influenza. In a proof-of-concept clinical trial (NCT01883804), methyldopa was administered to recent-onset T1D patients with the DQ8 gene that confirmed the mechanism of action and diminished inflammatory T cell responses toward insulin. SUMMARY: Methyldopa blocks the diabetes-specific function of HLA-DQ8, which represents a personalized medicine approach to treat the underlying autoimmunity in T1D. Clinical trials are warranted and underway to evaluate methyldopa in potentially preserving residual β-cell function in those with new onset and at risk for T1D.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.