Evidence map›Paper›PMID 24918037›Full record

ArticleResults in immunology2014

Molecular pathway alterations in CD4 T-cells of nonobese diabetic (NOD) mice in the preinsulitis phase of autoimmune diabetes.

Dorothy N Kakoola, Anita Curcio-Brint, Nataliya I Lenchik, Ivan C Gerling

Abstract read
In one paragraph

Article in Results in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Central-European journal of immunology · 2020
    Article
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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

4 authors.

Dorothy N KakoolaDepartment of Medicine, Division of Endocrinology, University of Tennessee Health Science Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA ; Research Service, Veterans Affairs Medical Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA.
Anita Curcio-BrintDepartment of Medicine, Division of Endocrinology, University of Tennessee Health Science Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA ; Research Service, Veterans Affairs Medical Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA.
Nataliya I LenchikDepartment of Medicine, Division of Endocrinology, University of Tennessee Health Science Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA ; Research Service, Veterans Affairs Medical Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA.
Ivan C GerlingDepartment of Medicine, Division of Endocrinology, University of Tennessee Health Science Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA ; Research Service, Veterans Affairs Medical Center, VAMC Research 151, 1030 Jefferson Avenue, Memphis, TN 38104, USA.

Funding

Molecular Phenotyping of NOD MiceR01DK062103 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI GERLING, IVAN C · 2002 to 2010
$2.1M
NIDDK NIH HHS R01 DK062103
6 · The paper itself

Abstract

Type 1 diabetes (T1D) is a multigenic disease caused by T-cell mediated destruction of the insulin producing pancreatic islet ß-cells. The earliest sign of islet autoimmunity in NOD mice, islet leukocytic infiltration or insulitis, is obvious at around 5 weeks of age. The molecular alterations that occur in T cells prior to insulitis and that may contribute to T1D development are poorly understood. Since CD4 T-cells are essential to T1D development, we tested the hypothesis that multiple genes/molecular pathways are altered in these cells prior to insulitis. We performed a genome-wide transcriptome and pathway analysis of whole, untreated CD4 T-cells from 2, 3, and 4 week-old NOD mice in comparison to two control strains (NOR and C57BL/6). We identified many differentially expressed genes in the NOD mice at each time point. Many of these genes (herein referred to as NOD altered genes) lie within known diabetes susceptibility (insulin-dependent diabetes, Idd) regions, e.g. two diabetes resistant loci, Idd27 (tripartite motif-containing family genes) and Idd13 (several genes), and the CD4 T-cell diabetogenic activity locus, Idd9/11 (2 genes, KH domain containing, RNA binding, signal transduction associated 1 and protein tyrosine phosphatase 4a2). The biological processes associated with these altered genes included, apoptosis/cell proliferation and metabolic pathways (predominant at 2 weeks); inflammation and cell signaling/activation (predominant at 3 weeks); and innate and adaptive immune responses (predominant at 4 weeks). Pathway analysis identified several factors that may regulate these abnormalities: eight, common to all 3 ages (interferon regulatory factor 1, hepatic nuclear factor 4, alpha, transformation related protein 53, BCL2-like 1 (lies within Idd13), interferon gamma, interleukin 4, interleukin 15, and prostaglandin E2); and two each, common to 2 and 4 weeks (androgen receptor and interleukin 6); and to 3 and 4 weeks (interferon alpha and interferon regulatory factor 7). Others were unique to the various ages, e.g. myelocytomatosis oncogene, jun oncogene, and amyloid beta (A4) to 2 weeks; tumor necrosis factor, transforming growth factor, beta 1, NF?B, ERK, and p38MAPK to 3 weeks; and interleukin 12 and signal transducer and activator of transcription 4 to 4 weeks. Thus, our study demonstrated that expression of many genes that lie within several Idds (e.g. Idd27, Idd13 and Idd9/11) was altered in CD4 T-cells in the early induction phase of autoimmune diabetes and identified their associated molecular pathways. These data offer the opportunity to test hypotheses on the roles played by the altered genes/molecular pathways, to understand better the mechanisms of CD4 T-cell diabetogenesis, and to develop new therapeutic strategies for T1D.

Indexed as

CD4 T-cellsGenome-wide gene expression profilingMolecular pathway analysisNOD micePreinsulitisType 1 diabetes susceptibility regions

Identifiers

PMID24918037
PMCPMC4050318

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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.