IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-48507-7.html
   My bibliography  Save this article

Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations

Author

Listed:
  • Brooke Szczesny

    (Johns Hopkins University)

  • Meher Preethi Boorgula

    (Anschutz Medical Campus)

  • Sameer Chavan

    (University of Colorado Anschutz Medical Campus)

  • Monica Campbell

    (University of Colorado Anschutz Medical Campus)

  • Randi K. Johnson

    (Colorado School of Public Health
    Johns Hopkins University School of Medicine)

  • Kai Kammers

    (University of Chicago)

  • Emma E. Thompson

    (University of Washington)

  • Madison S. Cox

    (University of Washington)

  • Gautam Shankar

    (Johns Hopkins University)

  • Corey Cox

    (Anschutz Medical Campus)

  • Andréanne Morin

    (University of Chicago)

  • Wendy Lorizio

    (Johns Hopkins University)

  • Michelle Daya

    (Anschutz Medical Campus)

  • Samir N. P. Kelada

    (University of North Carolina
    University of North Carolina)

  • Terri H. Beaty

    (Johns Hopkins Bloomberg School of Public Health)

  • Ayo P. Doumatey

    (National Institutes of Health)

  • Alvaro A. Cruz

    (Fundacao ProAR and Federal University of Bahia)

  • Harold Watson

    (Queen Elizabeth Hospital)

  • Edward T. Naureckas

    (University of Chicago)

  • B. Louise Giles

    (University of Chicago)

  • Ganiyu A. Arinola

    (College of Medicine, University of Ibadan)

  • Olumide Sogaolu

    (College of Medicine, University of Ibadan)

  • Adegoke G. Falade

    (University of Ibadan, and University College Hospital)

  • Nadia N. Hansel

    (Johns Hopkins University)

  • Ivana V. Yang

    (University of Colorado Denver, Anschutz Medical Campus)

  • Christopher O. Olopade

    (University of Chicago)

  • Charles N. Rotimi

    (National Institutes of Health)

  • R. Clive Landis

    (Cave Hill Campus)

  • Camila A. Figueiredo

    (Federal University of Bahia and Funda. Program for Control of Asthma in Bahia (ProAR)
    Universidade Federal da Bahia)

  • Matthew C. Altman

    (Benaroya Research Institute
    University of Washington)

  • Eimear Kenny

    (Icahn School of Medicine at Mount Sinai)

  • Ingo Ruczinski

    (Johns Hopkins Bloomberg School of Public Health)

  • Andrew H. Liu

    (Childrens Hospital Colorado and University of Colorado Denver, Anschutz Medical Campus)

  • Carole Ober

    (University of Chicago)

  • Margaret A. Taub

    (Johns Hopkins Bloomberg School of Public Health)

  • Kathleen C. Barnes

    (Anschutz Medical Campus)

  • Rasika A. Mathias

    (Johns Hopkins University)

Abstract

Asthma has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omic signatures of asthma focusing on populations of African ancestry. RNASeq and DNA methylation data are generated from nasal epithelium including cases (current asthma, N = 253) and controls (never-asthma, N = 283) from 7 different geographic sites to identify differentially expressed genes (DEGs) and gene networks. We identify 389 DEGs; the top DEG, FN1, was downregulated in cases (q = 3.26 × 10−9) and encodes fibronectin which plays a role in wound healing. The top three gene expression modules implicate networks related to immune response (CEACAM5; p = 9.62 × 10−16 and CPA3; p = 2.39 × 10−14) and wound healing (FN1; p = 7.63 × 10−9). Multi-omic analysis identifies FKBP5, a co-chaperone of glucocorticoid receptor signaling known to be involved in drug response in asthma, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. This work reveals molecular dysregulation on three axes – increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response – that may play a critical role in asthma within the African Diaspora.

Suggested Citation

  • Brooke Szczesny & Meher Preethi Boorgula & Sameer Chavan & Monica Campbell & Randi K. Johnson & Kai Kammers & Emma E. Thompson & Madison S. Cox & Gautam Shankar & Corey Cox & Andréanne Morin & Wendy L, 2024. "Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48507-7
    DOI: 10.1038/s41467-024-48507-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-48507-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-48507-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhang Bin & Horvath Steve, 2005. "A General Framework for Weighted Gene Co-Expression Network Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-45, August.
    2. Michelle Daya & Nicholas Rafaels & Tonya M. Brunetti & Sameer Chavan & Albert M. Levin & Aniket Shetty & Christopher R. Gignoux & Meher Preethi Boorgula & Genevieve Wojcik & Monica Campbell & Candelar, 2019. "Author Correction: Association study in African-admixed populations across the Americas recapitulates asthma risk loci in non-African populations," Nature Communications, Nature, vol. 10(1), pages 1-2, December.
    3. Yi Han & Qiong Jia & Pedram Shafiei Jahani & Benjamin P. Hurrell & Calvin Pan & Pin Huang & Janet Gukasyan & Nicholas C. Woodward & Eleazar Eskin & Frank D. Gilliland & Omid Akbari & Jaana A. Hartiala, 2020. "Genome-wide analysis highlights contribution of immune system pathways to the genetic architecture of asthma," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    4. Chris McKennan & Dan Nicolae, 2022. "Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(537), pages 225-236, January.
    5. Michelle Daya & Nicholas Rafaels & Tonya M. Brunetti & Sameer Chavan & Albert M. Levin & Aniket Shetty & Christopher R. Gignoux & Meher Preethi Boorgula & Genevieve Wojcik & Monica Campbell & Candelar, 2019. "Association study in African-admixed populations across the Americas recapitulates asthma risk loci in non-African populations," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    6. Rasika Ann Mathias & Margaret A. Taub & Christopher R. Gignoux & Wenqing Fu & Shaila Musharoff & Timothy D. O'Connor & Candelaria Vergara & Dara G. Torgerson & Maria Pino-Yanes & Suyash S. Shringarpur, 2016. "A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome," Nature Communications, Nature, vol. 7(1), pages 1-10, November.
    7. Oliver Stegle & Leopold Parts & Richard Durbin & John Winn, 2010. "A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-11, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivy Aneas & Donna C. Decker & Chanie L. Howard & Débora R. Sobreira & Noboru J. Sakabe & Kelly M. Blaine & Michelle M. Stein & Cara L. Hrusch & Lindsey E. Montefiori & Juan Tena & Kevin M. Magnaye & S, 2021. "Asthma-associated genetic variants induce IL33 differential expression through an enhancer-blocking regulatory region," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Chuan Gao & Ian C McDowell & Shiwen Zhao & Christopher D Brown & Barbara E Engelhardt, 2016. "Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-39, July.
    3. Yixuan Qiu & Jing Lei & Kathryn Roeder, 2023. "Gradient-based sparse principal component analysis with extensions to online learning," Biometrika, Biometrika Trust, vol. 110(2), pages 339-360.
    4. Ruiz Vargas, E. & Mitchell, D.G.V. & Greening, S.G. & Wahl, L.M., 2014. "Topology of whole-brain functional MRI networks: Improving the truncated scale-free model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 151-158.
    5. Yan Guo & Hui Yu & Haocan Song & Jiapeng He & Olufunmilola Oyebamiji & Huining Kang & Jie Ping & Scott Ness & Yu Shyr & Fei Ye, 2021. "MetaGSCA: A tool for meta-analysis of gene set differential coexpression," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-15, May.
    6. Xue Jiang & Han Zhang & Xiongwen Quan & Zhandong Liu & Yanbin Yin, 2017. "Disease-related gene module detection based on a multi-label propagation clustering algorithm," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
    7. Mandel, Antoine & Landini, Simone & Gallegati, Mauro & Gintis, Herbert, 2015. "Price dynamics, financial fragility and aggregate volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 257-277.
    8. Pietro Demela & Nicola Pirastu & Blagoje Soskic, 2023. "Cross-disorder genetic analysis of immune diseases reveals distinct gene associations that converge on common pathways," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    9. Peter Langfelder & Rui Luo & Michael C Oldham & Steve Horvath, 2011. "Is My Network Module Preserved and Reproducible?," PLOS Computational Biology, Public Library of Science, vol. 7(1), pages 1-29, January.
    10. Elva María Novoa-del-Toro & Efrén Mezura-Montes & Matthieu Vignes & Morgane Térézol & Frédérique Magdinier & Laurent Tichit & Anaïs Baudot, 2021. "A multi-objective genetic algorithm to find active modules in multiplex biological networks," PLOS Computational Biology, Public Library of Science, vol. 17(8), pages 1-24, August.
    11. Rozaimi Mohamad Razali & Juan Rodriguez-Flores & Mohammadmersad Ghorbani & Haroon Naeem & Waleed Aamer & Elbay Aliyev & Ali Jubran & Andrew G. Clark & Khalid A. Fakhro & Younes Mokrab, 2021. "Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    12. Matias Nehuen Iglesias, 2021. "The Overlooked Insights from Correlation Structures in Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 2105, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2021.
    13. Seong Kyu Han & Michelle T. McNulty & Christopher J. Benway & Pei Wen & Anya Greenberg & Ana C. Onuchic-Whitford & Dongkeun Jang & Jason Flannick & Noël P. Burtt & Parker C. Wilson & Benjamin D. Humph, 2023. "Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    14. Lingxue Zhang & Seyoung Kim, 2014. "Learning Gene Networks under SNP Perturbations Using eQTL Datasets," PLOS Computational Biology, Public Library of Science, vol. 10(2), pages 1-20, February.
    15. Benjamin A Samuels & E David Leonardo & Alex Dranovsky & Amanda Williams & Erik Wong & Addie May I Nesbitt & Richard D McCurdy & Rene Hen & Mark Alter, 2014. "Global State Measures of the Dentate Gyrus Gene Expression System Predict Antidepressant-Sensitive Behaviors," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.
    16. Tingting Bo & Jie Li & Ganlu Hu & Ge Zhang & Wei Wang & Qian Lv & Shaoling Zhao & Junjie Ma & Meng Qin & Xiaohui Yao & Meiyun Wang & Guang-Zhong Wang & Zheng Wang, 2023. "Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    17. Chang Su & Zichun Xu & Xinning Shan & Biao Cai & Hongyu Zhao & Jingfei Zhang, 2023. "Cell-type-specific co-expression inference from single cell RNA-sequencing data," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    18. Sahra Uygun & Cheng Peng & Melissa D Lehti-Shiu & Robert L Last & Shin-Han Shiu, 2016. "Utility and Limitations of Using Gene Expression Data to Identify Functional Associations," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-27, December.
    19. Li, Jie & Wang, Lidan & Zhou, Zhong-Qiang & Zhang, Yongjie, 2021. "Monitoring or tunneling? Information interaction among large shareholders and the crash risk of the stock price," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    20. Khang Tsung Fei & Yap Von Bing, 2010. "The Apportionment of Total Genetic Variation by Categorical Analysis of Variance," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-34, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48507-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.