Evidence map›Paper›PMID 38932832›Full record

ArticleJournal of diabetes and metabolic disorders2024

Evaluation of genetic association between celiac disease and type 1 diabetes.

Sayyad Malekahmadi, Nastaran Asri, Flora Forouzesh, Hedyeh Saneifard, Mostafa Rezaei-Tavirani, Mohammad Rostami-Nejad

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In one paragraph

Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Sayyad MalekahmadiDepartment of Genetics, Faculty of Advanced Science and Technology, Tehran MedicalSciences, Islamic Azad University, Tehran, Iran.
Nastaran AsriGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Flora ForouzeshDepartment of Genetics, Faculty of Advanced Science and Technology, Tehran MedicalSciences, Islamic Azad University, Tehran, Iran.
Hedyeh SaneifardPediatric Endocrinology and Metabolism Department, Faculty of Medicine, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Rostami-NejadCeliac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2495-1831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Celiac disease (CD) is a chronic autoimmune disorder with a common genetic pathogenesis with type 1 diabetes (T1D). This study aimed to investigate the immune regulation in patients with both CD and T1D. Methods: A total of 29 CD patients, 29 T1D patients, and 16 patients with both CD and T1D, along with 30 healthy controls (HCs) were included. The mRNA expression levels of TNF-α, IL-6, IL-2, and CTLA4 were evaluated in peripheral blood samples. Results: The results showed that in patients with CD, T1D and CD/T1D, TNF-α mRNA levels were significantly increased ( Conclusions: TNF-α mRNA exhibited potential diagnostic value for distinguishing CD, T1D, and comorbid CD/T1D patients from HCs. These findings contribute to our understanding of the shared genetic factors and potential mechanisms underlying CD and T1D, which can aid in improved diagnostic methods and treatment approaches for these conditions.

Indexed as

Celiac diseasemRNA expressionTumor necrosis factorType 1 diabetes

Identifiers

PMID38932832
PMCPMC11196513

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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.