Literature DB >> 29515040

A peripheral blood transcriptomic signature predicts autoantibody development in infants at risk of type 1 diabetes.

Ahmed M Mehdi1, Emma E Hamilton-Williams1, Alexandre Cristino1, Anette Ziegler2, Ezio Bonifacio3, Kim-Anh Le Cao1, Mark Harris1,4, Ranjeny Thomas1.   

Abstract

Autoimmune-mediated destruction of pancreatic islet β cells results in type 1 diabetes (T1D). Serum islet autoantibodies usually develop in genetically susceptible individuals in early childhood before T1D onset, with multiple islet autoantibodies predicting diabetes development. However, most at-risk children remain islet-antibody negative, and no test currently identifies those likely to seroconvert. We sought a genomic signature predicting seroconversion risk by integrating longitudinal peripheral blood gene expression profiles collected in high-risk children included in the BABYDIET and DIPP cohorts, of whom 50 seroconverted. Subjects were followed for 10 years to determine time of seroconversion. Any cohort effect and the time of seroconversion were corrected to uncover genes differentially expressed (DE) in seroconverting children. Gene expression signatures associated with seroconversion were evident during the first year of life, with 67 DE genes identified in seroconverting children relative to those remaining antibody negative. These genes contribute to T cell-, DC-, and B cell-related immune responses. Near-birth expression of ADCY9, PTCH1, MEX3B, IL15RA, ZNF714, TENM1, and PLEKHA5, along with HLA risk score predicted seroconversion (AUC 0.85). The ubiquitin-proteasome pathway linked DE genes and T1D susceptibility genes. Therefore, a gene expression signature in infancy predicts risk of seroconversion. Ubiquitination may play a mechanistic role in diabetes progression.

Entities:  

Keywords:  Autoimmune diseases; Diabetes; Endocrinology; Immunology

Mesh:

Substances:

Year:  2018        PMID: 29515040      PMCID: PMC5922278          DOI: 10.1172/jci.insight.98212

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  57 in total

Review 1.  Fast signals and slow marks: the dynamics of histone modifications.

Authors:  Teresa K Barth; Axel Imhof
Journal:  Trends Biochem Sci       Date:  2010-08-03       Impact factor: 13.807

2.  Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum.

Authors:  Ville-Petteri Mäkinen; Pasi Soininen; Carol Forsblom; Maija Parkkonen; Petri Ingman; Kimmo Kaski; Per-Henrik Groop; Mika Ala-Korpela
Journal:  MAGMA       Date:  2006-12-15       Impact factor: 2.310

Review 3.  Measurement of CD8 T cell responses in human type 1 diabetes.

Authors:  Emanuela Martinuzzi; François A Lemonnier; Christian Boitard; Roberto Mallone
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

Review 4.  Extreme genetic risk for type 1A diabetes in the post-genome era.

Authors:  Erin E Baschal; George S Eisenbarth
Journal:  J Autoimmun       Date:  2008-05-01       Impact factor: 7.094

5.  Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system.

Authors:  A S Cristino; S M Williams; Z Hawi; J-Y An; M A Bellgrove; C E Schwartz; L da F Costa; C Claudianos
Journal:  Mol Psychiatry       Date:  2013-02-26       Impact factor: 15.992

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

7.  The Hedgehog receptor Patched controls lymphoid lineage commitment.

Authors:  Anja Uhmann; Kai Dittmann; Frauke Nitzki; Ralf Dressel; Milena Koleva; Anke Frommhold; Arne Zibat; Claudia Binder; Ibrahim Adham; Mirko Nitsche; Tanja Heller; Victor Armstrong; Walter Schulz-Schaeffer; Jürgen Wienands; Heidi Hahn
Journal:  Blood       Date:  2007-05-29       Impact factor: 22.113

8.  Trichostatin A affects the secretion pathways of beta and intestinal endocrine cells.

Authors:  Aubrey R Tiernan; Julie A Champion; Athanassios Sambanis
Journal:  Exp Cell Res       Date:  2014-10-16       Impact factor: 3.905

9.  The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants.

Authors:  William A Hagopian; Henry Erlich; Ake Lernmark; Marian Rewers; Anette G Ziegler; Olli Simell; Beena Akolkar; Robert Vogt; Alan Blair; Jorma Ilonen; Jeffrey Krischer; JinXiong She
Journal:  Pediatr Diabetes       Date:  2011-05-12       Impact factor: 3.409

10.  Notch1 regulated autophagy controls survival and suppressor activity of activated murine T-regulatory cells.

Authors:  Nimi Marcel; Apurva Sarin
Journal:  Elife       Date:  2016-06-06       Impact factor: 8.140

View more
  9 in total

1.  Cytotoxicity-Related Gene Expression and Chromatin Accessibility Define a Subset of CD4+ T Cells That Mark Progression to Type 1 Diabetes.

Authors:  Naiara G Bediaga; Alexandra L Garnham; Gaetano Naselli; Esther Bandala-Sanchez; Natalie L Stone; Joanna Cobb; Jessica E Harbison; John M Wentworth; Annette-G Ziegler; Jennifer J Couper; Gordon K Smyth; Leonard C Harrison
Journal:  Diabetes       Date:  2022-03-01       Impact factor: 9.461

2.  Transcriptional regulatory networks of circulating immune cells in type 1 diabetes: A community knowledgebase.

Authors:  Scott A Ochsner; Rudolf T Pillich; Deepali Rawool; Jeffrey S Grethe; Neil J McKenna
Journal:  iScience       Date:  2022-06-11

3.  Identification of Novel Candidate Markers of Type 2 Diabetes and Obesity in Russia by Exome Sequencing with a Limited Sample Size.

Authors:  Yury A Barbitoff; Elena A Serebryakova; Yulia A Nasykhova; Alexander V Predeus; Dmitrii E Polev; Anna R Shuvalova; Evgenii V Vasiliev; Stanislav P Urazov; Andrey M Sarana; Sergey G Scherbak; Dmitrii V Gladyshev; Maria S Pokrovskaya; Oksana V Sivakova; Aleksey N Meshkov; Oxana M Drapkina; Oleg S Glotov; Andrey S Glotov
Journal:  Genes (Basel)       Date:  2018-08-17       Impact factor: 4.096

Review 4.  Insights From Single Cell RNA Sequencing Into the Immunology of Type 1 Diabetes- Cell Phenotypes and Antigen Specificity.

Authors:  Stephanie J Hanna; Danijela Tatovic; Terri C Thayer; Colin M Dayan
Journal:  Front Immunol       Date:  2021-10-01       Impact factor: 7.561

5.  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

Review 6.  Sphingolipids in Type 1 Diabetes: Focus on Beta-Cells.

Authors:  Ewa Gurgul-Convey
Journal:  Cells       Date:  2020-08-04       Impact factor: 6.600

7.  Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 Diabetes.

Authors:  Oscar Alcazar; Luis F Hernandez; Ernesto S Nakayasu; Carrie D Nicora; Charles Ansong; Michael J Muehlbauer; James R Bain; Ciara J Myer; Sanjoy K Bhattacharya; Peter Buchwald; Midhat H Abdulreda
Journal:  Biomolecules       Date:  2021-03-04

8.  Prevalence of Inflammatory Pathways Over Immuno-Tolerance in Peripheral Blood Mononuclear Cells of Recent-Onset Type 1 Diabetes.

Authors:  Aritania Sousa Santos; Edécio Cunha-Neto; Nelson Vinicius Gonfinetti; Fernanda Bernardi Bertonha; Pauline Brochet; Aurelie Bergon; Carlos Alberto Moreira-Filho; Christophe Chevillard; Maria Elizabeth Rossi da Silva
Journal:  Front Immunol       Date:  2022-01-04       Impact factor: 7.561

Review 9.  Next steps in the identification of gene targets for type 1 diabetes.

Authors:  Struan F A Grant; Andrew D Wells; Stephen S Rich
Journal:  Diabetologia       Date:  2020-08-14       Impact factor: 10.122

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.