Literature DB >> 27862943

Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.

Daniel S Tylee1, Jonathan L Hess1, Thomas P Quinn1, Rahul Barve1, Hailiang Huang2,3, Yanli Zhang-James1, Jeffrey Chang4, Boryana S Stamova5, Frank R Sharp5, Irva Hertz-Picciotto6, Stephen V Faraone1,7, Sek Won Kong8, Stephen J Glatt1.   

Abstract

Blood-based microarray studies comparing individuals affected with autism spectrum disorder (ASD) and typically developing individuals help characterize differences in circulating immune cell functions and offer potential biomarker signal. We sought to combine the subject-level data from previously published studies by mega-analysis to increase the statistical power. We identified studies that compared ex vivo blood or lymphocytes from ASD-affected individuals and unrelated comparison subjects using Affymetrix or Illumina array platforms. Raw microarray data and clinical meta-data were obtained from seven studies, totaling 626 affected and 447 comparison subjects. Microarray data were processed using uniform methods. Covariate-controlled mixed-effect linear models were used to identify gene transcripts and co-expression network modules that were significantly associated with diagnostic status. Permutation-based gene-set analysis was used to identify functionally related sets of genes that were over- and under-expressed among ASD samples. Our results were consistent with diminished interferon-, EGF-, PDGF-, PI3K-AKT-mTOR-, and RAS-MAPK-signaling cascades, and increased ribosomal translation and NK-cell related activity in ASD. We explored evidence for sex-differences in the ASD-related transcriptomic signature. We also demonstrated that machine-learning classifiers using blood transcriptome data perform with moderate accuracy when data are combined across studies. Comparing our results with those from blood-based studies of protein biomarkers (e.g., cytokines and trophic factors), we propose that ASD may feature decoupling between certain circulating signaling proteins (higher in ASD samples) and the transcriptional cascades which they typically elicit within circulating immune cells (lower in ASD samples). These findings provide insight into ASD-related transcriptional differences in circulating immune cells.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  gene expression; immune system; machine learning; microarray

Mesh:

Substances:

Year:  2016        PMID: 27862943      PMCID: PMC5499528          DOI: 10.1002/ajmg.b.32511

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  90 in total

1.  Meta-Analysis of Gene Expression in Autism Spectrum Disorder.

Authors:  Carolyn Ch'ng; Willie Kwok; Sanja Rogic; Paul Pavlidis
Journal:  Autism Res       Date:  2015-02-26       Impact factor: 5.216

2.  Gamma-interferon promotes differentiation of cultured cortical and hippocampal neurons.

Authors:  M E Barish; N B Mansdorf; S S Raissdana
Journal:  Dev Biol       Date:  1991-04       Impact factor: 3.582

3.  CellMix: a comprehensive toolbox for gene expression deconvolution.

Authors:  Renaud Gaujoux; Cathal Seoighe
Journal:  Bioinformatics       Date:  2013-07-03       Impact factor: 6.937

4.  pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery.

Authors:  Marc Johannes; Holger Fröhlich; Holger Sültmann; Tim Beissbarth
Journal:  Bioinformatics       Date:  2011-03-30       Impact factor: 6.937

5.  Variation in the human immune system is largely driven by non-heritable influences.

Authors:  Petter Brodin; Vladimir Jojic; Tianxiang Gao; Sanchita Bhattacharya; Cesar J Lopez Angel; David Furman; Shai Shen-Orr; Cornelia L Dekker; Gary E Swan; Atul J Butte; Holden T Maecker; Mark M Davis
Journal:  Cell       Date:  2015-01-15       Impact factor: 41.582

6.  De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

Authors:  Stephan J Sanders; Michael T Murtha; Abha R Gupta; John D Murdoch; Melanie J Raubeson; A Jeremy Willsey; A Gulhan Ercan-Sencicek; Nicholas M DiLullo; Neelroop N Parikshak; Jason L Stein; Michael F Walker; Gordon T Ober; Nicole A Teran; Youeun Song; Paul El-Fishawy; Ryan C Murtha; Murim Choi; John D Overton; Robert D Bjornson; Nicholas J Carriero; Kyle A Meyer; Kaya Bilguvar; Shrikant M Mane; Nenad Sestan; Richard P Lifton; Murat Günel; Kathryn Roeder; Daniel H Geschwind; Bernie Devlin; Matthew W State
Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

7.  Autism and increased paternal age related changes in global levels of gene expression regulation.

Authors:  Mark D Alter; Rutwik Kharkar; Keri E Ramsey; David W Craig; Raun D Melmed; Theresa A Grebe; R Curtis Bay; Sharman Ober-Reynolds; Janet Kirwan; Josh J Jones; J Blake Turner; Rene Hen; Dietrich A Stephan
Journal:  PLoS One       Date:  2011-02-17       Impact factor: 3.240

8.  Malaria modifies neonatal and early-life toll-like receptor cytokine responses.

Authors:  Komi Gbédandé; Stefania Varani; Samad Ibitokou; Parfait Houngbegnon; Sophie Borgella; Odilon Nouatin; Sem Ezinmegnon; Adicatou-Laï Adeothy; Gilles Cottrell; Achille Massougbodji; Kabirou Moutairou; Marita Troye-Blomberg; Philippe Deloron; Nadine Fievet; Adrian J F Luty
Journal:  Infect Immun       Date:  2013-05-20       Impact factor: 3.441

9.  Age-dependent brain gene expression and copy number anomalies in autism suggest distinct pathological processes at young versus mature ages.

Authors:  Maggie L Chow; Tiziano Pramparo; Mary E Winn; Cynthia Carter Barnes; Hai-Ri Li; Lauren Weiss; Jian-Bing Fan; Sarah Murray; Craig April; Haim Belinson; Xiang-Dong Fu; Anthony Wynshaw-Boris; Nicholas J Schork; Eric Courchesne
Journal:  PLoS Genet       Date:  2012-03-22       Impact factor: 5.917

10.  Characteristics and predictive value of blood transcriptome signature in males with autism spectrum disorders.

Authors:  Sek Won Kong; Christin D Collins; Yuko Shimizu-Motohashi; Ingrid A Holm; Malcolm G Campbell; In-Hee Lee; Stephanie J Brewster; Ellen Hanson; Heather K Harris; Kathryn R Lowe; Adrianna Saada; Andrea Mora; Kimberly Madison; Rachel Hundley; Jessica Egan; Jillian McCarthy; Ally Eran; Michal Galdzicki; Leonard Rappaport; Louis M Kunkel; Isaac S Kohane
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

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  23 in total

1.  Expression Analysis of BDNF, BACE1, and Their Natural Occurring Antisenses in Autistic Patients.

Authors:  Soudeh Ghafouri-Fard; Amir Namvar; Shahram Arsang-Jang; Alireza Komaki; Mohammad Taheri
Journal:  J Mol Neurosci       Date:  2019-11-23       Impact factor: 3.444

Review 2.  Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.

Authors:  Troy Vargason; Genevieve Grivas; Kathryn L Hollowood-Jones; Juergen Hahn
Journal:  Semin Pediatr Neurol       Date:  2020-03-05       Impact factor: 1.636

3.  PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma.

Authors:  Michael S Breen; Daniel S Tylee; Adam X Maihofer; Thomas C Neylan; Divya Mehta; Elisabeth B Binder; Sharon D Chandler; Jonathan L Hess; William S Kremen; Victoria B Risbrough; Christopher H Woelk; Dewleen G Baker; Caroline M Nievergelt; Ming T Tsuang; Joseph D Buxbaum; Stephen J Glatt
Journal:  Neuropsychopharmacology       Date:  2017-09-19       Impact factor: 7.853

4.  Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies.

Authors:  Samuel C Lee; Thomas P Quinn; Jerry Lai; Sek Won Kong; Irva Hertz-Picciotto; Stephen J Glatt; Tamsyn M Crowley; Svetha Venkatesh; Thin Nguyen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-12-06       Impact factor: 3.568

5.  Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses.

Authors:  Jonathan L Hess; Daniel S Tylee; Rahul Barve; Simone de Jong; Roel A Ophoff; Nishantha Kumarasinghe; Paul Tooney; Ulrich Schall; Erin Gardiner; Natalie Jane Beveridge; Rodney J Scott; Surangi Yasawardene; Antionette Perera; Jayan Mendis; Vaughan Carr; Brian Kelly; Murray Cairns; Ming T Tsuang; Stephen J Glatt
Journal:  Schizophr Res       Date:  2019-08-04       Impact factor: 4.939

6.  Modeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression.

Authors:  Carina Seah; Michael S Breen; Tom Rusielewicz; Heather N Bader; Changxin Xu; Christopher J Hunter; Barry McCarthy; P J Michael Deans; Mitali Chattopadhyay; Jordan Goldberg; Frank Desarnaud; Iouri Makotkine; Janine D Flory; Linda M Bierer; Migle Staniskyte; Scott A Noggle; Laura M Huckins; Daniel Paull; Kristen J Brennand; Rachel Yehuda
Journal:  Nat Neurosci       Date:  2022-10-20       Impact factor: 28.771

Review 7.  Rare variants and the oligogenic architecture of autism.

Authors:  Tianyun Wang; Peiyao A Zhao; Evan E Eichler
Journal:  Trends Genet       Date:  2022-04-09       Impact factor: 11.821

8.  A predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years.

Authors:  Bokan Bao; Javad Zahiri; Vahid H Gazestani; Linda Lopez; Yaqiong Xiao; Raphael Kim; Teresa H Wen; Austin W T Chiang; Srinivasa Nalabolu; Karen Pierce; Kimberly Robasky; Tianyun Wang; Kendra Hoekzema; Evan E Eichler; Nathan E Lewis; Eric Courchesne
Journal:  Mol Psychiatry       Date:  2022-10-20       Impact factor: 13.437

9.  Hierarchical cortical transcriptome disorganization in autism.

Authors:  Michael V Lombardo; Eric Courchesne; Nathan E Lewis; Tiziano Pramparo
Journal:  Mol Autism       Date:  2017-06-21       Impact factor: 7.509

10.  Do Autism Spectrum and Autoimmune Disorders Share Predisposition Gene Signature Due to mTOR Signaling Pathway Controlling Expression?

Authors:  Ekaterina A Trifonova; Alexandra I Klimenko; Zakhar S Mustafin; Sergey A Lashin; Alex V Kochetov
Journal:  Int J Mol Sci       Date:  2021-05-16       Impact factor: 5.923

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