Literature DB >> 35724268

Changes in the Coexpression of Innate Immunity Genes During Persistent Islet Autoimmunity Are Associated With Progression of Islet Autoimmunity: Diabetes Autoimmunity Study in the Young (DAISY).

Patrick M Carry1, Kathleen Waugh2, Lauren A Vanderlinden1, Randi K Johnson3, Teresa Buckner1, Marian Rewers2, Andrea K Steck2, Ivana Yang1,3, Tasha E Fingerlin1,4, Katerina Kechris, Jill M Norris1,2.   

Abstract

Longitudinal changes in gene expression during islet autoimmunity (IA) may provide insight into biological processes that explain progression to type 1 diabetes (T1D). We identified individuals from Diabetes Autoimmunity Study in the Young (DAISY) who developed IA, autoantibodies present on two or more visits. Illumina's NovaSeq 6000 was used to quantify gene expression in whole blood. With linear mixed models we tested for changes in expression after IA that differed across individuals who progressed to T1D (progressors) (n = 25), reverted to an autoantibody-negative stage (reverters) (n = 47), or maintained IA positivity but did not develop T1D (maintainers) (n = 66). Weighted gene coexpression network analysis was used to identify coexpression modules. Gene Ontology pathway analysis of the top 150 differentially expressed genes (nominal P < 0.01) identified significantly enriched pathways including leukocyte activation involved in immune response, innate immune response, and regulation of immune response. We identified a module of 14 coexpressed genes with roles in the innate immunity. The hub gene, LTF, is known to have immunomodulatory properties. Another gene within the module, CAMP, is potentially relevant based on its role in promoting β-cell survival in a murine model. Overall, results provide evidence of alterations in expression of innate immune genes prior to onset of T1D.
© 2022 by the American Diabetes Association.

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Year:  2022        PMID: 35724268      PMCID: PMC9450568          DOI: 10.2337/db21-1111

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.337


  42 in total

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Authors:  Susanne M Cabrera; Angela M Henschel; Martin J Hessner
Journal:  Transl Res       Date:  2015-04-29       Impact factor: 7.012

2.  Human cathelicidin antimicrobial peptide (CAMP) gene is a direct target of the vitamin D receptor and is strongly up-regulated in myeloid cells by 1,25-dihydroxyvitamin D3.

Authors:  Adrian F Gombart; Niels Borregaard; H Phillip Koeffler
Journal:  FASEB J       Date:  2005-07       Impact factor: 5.191

3.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

4.  Decreased circulating lactoferrin in insulin resistance and altered glucose tolerance as a possible marker of neutrophil dysfunction in type 2 diabetes.

Authors:  J M Moreno-Navarrete; F J Ortega; J Bassols; W Ricart; J M Fernández-Real
Journal:  J Clin Endocrinol Metab       Date:  2009-07-07       Impact factor: 5.958

5.  REVIGO summarizes and visualizes long lists of gene ontology terms.

Authors:  Fran Supek; Matko Bošnjak; Nives Škunca; Tomislav Šmuc
Journal:  PLoS One       Date:  2011-07-18       Impact factor: 3.240

6.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

7.  Rebranding asymptomatic type 1 diabetes: the case for autoimmune beta cell disorder as a pathological and diagnostic entity.

Authors:  Ezio Bonifacio; Chantal Mathieu; Gerald T Nepom; Anette-G Ziegler; Henry Anhalt; Michael J Haller; Leonard C Harrison; Matthias Hebrok; Jake A Kushner; Jill M Norris; Mark Peakman; Alvin C Powers; John A Todd; Mark A Atkinson
Journal:  Diabetologia       Date:  2016-10-26       Impact factor: 10.122

8.  An effective processing pipeline for harmonizing DNA methylation data from Illumina's 450K and EPIC platforms for epidemiological studies.

Authors:  Lauren A Vanderlinden; Randi K Johnson; Patrick M Carry; Fran Dong; Dawn L DeMeo; Ivana V Yang; Jill M Norris; Katerina Kechris
Journal:  BMC Res Notes       Date:  2021-09-08

9.  Transcriptional networks in at-risk individuals identify signatures of type 1 diabetes progression.

Authors:  Louis-Pascal Xhonneux; Oliver Knight; Åke Lernmark; Ezio Bonifacio; William A Hagopian; Marian J Rewers; Jin-Xiong She; Jorma Toppari; Hemang Parikh; Kenneth G C Smith; Anette-G Ziegler; Beena Akolkar; Jeffrey P Krischer; Eoin F McKinney
Journal:  Sci Transl Med       Date:  2021-03-31       Impact factor: 19.319

10.  Novel genetic risk factors influence progression of islet autoimmunity to type 1 diabetes.

Authors:  Suna Onengut-Gumuscu; Umadevi Paila; Wei-Min Chen; Aakrosh Ratan; Zhennan Zhu; Andrea K Steck; Brigitte I Frohnert; Kathleen C Waugh; Bobbie-Jo M Webb-Robertson; Jill M Norris; Leslie A Lange; Marian J Rewers; Stephen S Rich
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

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