IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31600-0.html
   My bibliography  Save this article

Upper airway gene expression shows a more robust adaptive immune response to SARS-CoV-2 in children

Author

Listed:
  • Eran Mick

    (University of California
    University of California
    Chan Zuckerberg Biohub)

  • Alexandra Tsitsiklis

    (University of California)

  • Natasha Spottiswoode

    (University of California)

  • Saharai Caldera

    (University of California
    Chan Zuckerberg Biohub)

  • Paula Hayakawa Serpa

    (University of California
    Chan Zuckerberg Biohub)

  • Angela M. Detweiler

    (Chan Zuckerberg Biohub)

  • Norma Neff

    (Chan Zuckerberg Biohub)

  • Angela Oliveira Pisco

    (Chan Zuckerberg Biohub)

  • Lucy M. Li

    (Chan Zuckerberg Biohub)

  • Hanna Retallack

    (University of California)

  • Kalani Ratnasiri

    (Chan Zuckerberg Biohub)

  • Kayla M. Williamson

    (University of Colorado)

  • Victoria Soesanto

    (University of Colorado)

  • Eric A. F. Simões

    (University of Colorado and Children’s Hospital Colorado)

  • Christiana Smith

    (University of Colorado and Children’s Hospital Colorado)

  • Lisa Abuogi

    (University of Colorado and Children’s Hospital Colorado)

  • Amy Kistler

    (Chan Zuckerberg Biohub)

  • Brandie D. Wagner

    (University of Colorado
    University of Colorado and Children’s Hospital Colorado)

  • Joseph L. DeRisi

    (Chan Zuckerberg Biohub
    University of California)

  • Lilliam Ambroggio

    (University of Colorado and Children’s Hospital Colorado)

  • Peter M. Mourani

    (University of Colorado and Children’s Hospital Colorado
    Arkansas Children’s Research Institute, Arkansas Children’s Hospital)

  • Charles R. Langelier

    (University of California
    Chan Zuckerberg Biohub)

Abstract

Unlike other respiratory viruses, SARS-CoV-2 disproportionately causes severe disease in older adults whereas disease burden in children is lower. To investigate whether differences in the upper airway immune response may contribute to this disparity, we compare nasopharyngeal gene expression in 83 children ( 40-years-old; 45 with SARS-CoV-2, 28 with other respiratory viruses, 81 with no virus). Expression of interferon-stimulated genes is robustly activated in both children and adults with SARS-CoV-2 infection compared to the respective non-viral groups, with only subtle distinctions. Children, however, demonstrate markedly greater upregulation of pathways related to B cell and T cell activation and proinflammatory cytokine signaling, including response to TNF and production of IFNγ, IL-2 and IL-4. Cell type deconvolution confirms greater recruitment of B cells, and to a lesser degree macrophages, to the upper airway of children. Only children exhibit a decrease in proportions of ciliated cells, among the primary targets of SARS-CoV-2, upon infection. These findings demonstrate that children elicit a more robust innate and especially adaptive immune response to SARS-CoV-2 in the upper airway that likely contributes to their protection from severe disease in the lower airway.

Suggested Citation

  • Eran Mick & Alexandra Tsitsiklis & Natasha Spottiswoode & Saharai Caldera & Paula Hayakawa Serpa & Angela M. Detweiler & Norma Neff & Angela Oliveira Pisco & Lucy M. Li & Hanna Retallack & Kalani Ratn, 2022. "Upper airway gene expression shows a more robust adaptive immune response to SARS-CoV-2 in children," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31600-0
    DOI: 10.1038/s41467-022-31600-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31600-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-31600-0?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. Elizabeth J. Williamson & Alex J. Walker & Krishnan Bhaskaran & Seb Bacon & Chris Bates & Caroline E. Morton & Helen J. Curtis & Amir Mehrkar & David Evans & Peter Inglesby & Jonathan Cockburn & Helen, 2020. "Factors associated with COVID-19-related death using OpenSAFELY," Nature, Nature, vol. 584(7821), pages 430-436, August.
    2. Eran Mick & Jack Kamm & Angela Oliveira Pisco & Kalani Ratnasiri & Jennifer M. Babik & Gloria Castañeda & Joseph L. DeRisi & Angela M. Detweiler & Samantha L. Hao & Kirsten N. Kangelaris & G. Renuka K, 2020. "Upper airway gene expression reveals suppressed immune responses to SARS-CoV-2 compared with other respiratory viruses," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    3. Kyle J. Travaglini & Ahmad N. Nabhan & Lolita Penland & Rahul Sinha & Astrid Gillich & Rene V. Sit & Stephen Chang & Stephanie D. Conley & Yasuo Mori & Jun Seita & Gerald J. Berry & Joseph B. Shrager , 2020. "A molecular cell atlas of the human lung from single-cell RNA sequencing," Nature, Nature, vol. 587(7835), pages 619-625, November.
    4. Koller, Manuel & Stahel, Werner A., 2011. "Sharpening Wald-type inference in robust regression for small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2504-2515, August.
    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. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    2. Qiang Zhang & Sai Ma & Zhengzhi Liu & Bohan Zhu & Zirui Zhou & Gaoshan Li & J. Javier Meana & Javier González-Maeso & Chang Lu, 2023. "Droplet-based bisulfite sequencing for high-throughput profiling of single-cell DNA methylomes," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023. "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
    4. Borau, Sylvie & Couprie, Hélène & Hopfensitz, Astrid, 2022. "The prosociality of married people: Evidence from a large multinational sample," Journal of Economic Psychology, Elsevier, vol. 92(C).
    5. Moujtaba Y. Kasmani & Paytsar Topchyan & Ashley K. Brown & Ryan J. Brown & Xiaopeng Wu & Yao Chen & Achia Khatun & Donia Alson & Yue Wu & Robert Burns & Chien-Wei Lin & Matthew R. Kudek & Jie Sun & We, 2023. "A spatial sequencing atlas of age-induced changes in the lung during influenza infection," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    6. Shelly J. Robertson & Olivia Bedard & Kristin L. McNally & Carl Shaia & Chad S. Clancy & Matthew Lewis & Rebecca M. Broeckel & Abhilash I. Chiramel & Jeffrey G. Shannon & Gail L. Sturdevant & Rebecca , 2023. "Genetically diverse mouse models of SARS-CoV-2 infection reproduce clinical variation in type I interferon and cytokine responses in COVID-19," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Reza Mirzazadeh & Zaneta Andrusivova & Ludvig Larsson & Phillip T. Newton & Leire Alonso Galicia & Xesús M. Abalo & Mahtab Avijgan & Linda Kvastad & Alexandre Denadai-Souza & Nathalie Stakenborg & Ale, 2023. "Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    9. Filzmoser, P. & Höppner, S. & Ortner, I. & Serneels, S. & Verdonck, T., 2020. "Cellwise robust M regression," Computational Statistics & Data Analysis, Elsevier, vol. 147(C).
    10. João Faro-Viana & Marie-Louise Bergman & Lígia A. Gonçalves & Nádia Duarte & Teresa P. Coutinho & Patrícia C. Borges & Christian Diwo & Rute Castro & Paula Matoso & Vanessa Malheiro & Ana Brennand & L, 2022. "Population homogeneity for the antibody response to COVID-19 BNT162b2/Comirnaty vaccine is only reached after the second dose across all adult age ranges," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    11. Dorn, Florian & Lange, Berit & Braml, Martin & Gstrein, David & Nyirenda, John L.Z. & Vanella, Patrizio & Winter, Joachim & Fuest, Clemens & Krause, Gérard, 2023. "The challenge of estimating the direct and indirect effects of COVID-19 interventions – Toward an integrated economic and epidemiological approach," Economics & Human Biology, Elsevier, vol. 49(C).
    12. Amir Abolhassani & Gale Boyd & Majid Jaridi & Bhaskaran Gopalakrishnan & James Harner, 2023. "“Is Energy That Different from Labor?” Similarity in Determinants of Intensity for Auto Assembly Plants," Energies, MDPI, vol. 16(4), pages 1-35, February.
    13. Peter Leoni & Pieter Segaert & Sven Serneels & Tim Verdonck, 2018. "Multivariate constrained robust M‐regression for shaping forward curves in electricity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(11), pages 1391-1406, November.
    14. T. Kirschstein & Steffen Liebscher, 2019. "Assessing the market values of soccer players – a robust analysis of data from German 1. and 2. Bundesliga," Journal of Applied Statistics, Taylor & Francis Journals, vol. 46(7), pages 1336-1349, May.
    15. Denis Mongin & Nils Bürgisser & Gustavo Laurie & Guillaume Schimmel & Diem-Lan Vu & Stephane Cullati & Delphine Sophie Courvoisier, 2023. "Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    16. Shixuan Liu & Camille Ezran & Michael F. Z. Wang & Zhengda Li & Kyle Awayan & Jonathan Z. Long & Iwijn De Vlaminck & Sheng Wang & Jacques Epelbaum & Christin S. Kuo & Jérémy Terrien & Mark A. Krasnow , 2024. "An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome," Nature Communications, Nature, vol. 15(1), pages 1-27, December.
    17. Hiroshi Murayama & Isuzu Nakamoto & Takahiro Tabuchi, 2021. "Social Capital and COVID-19 Deaths: An Ecological Analysis in Japan," IJERPH, MDPI, vol. 18(20), pages 1-9, October.
    18. Zhoufeng Wang & Zhe Li & Kun Zhou & Chengdi Wang & Lili Jiang & Li Zhang & Ying Yang & Wenxin Luo & Wenliang Qiao & Gang Wang & Yinyun Ni & Shuiping Dai & Tingting Guo & Guiyi Ji & Minjie Xu & Yiying , 2021. "Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    19. Ján Palguta & Levínský, René & Škoda, Samuel, 2021. "Do Elections Accelerate the COVID-19 Pandemic? Evidence from a Natural Experiment," GLO Discussion Paper Series 891, Global Labor Organization (GLO).
    20. Andreea N. Kiss & Pamela S. Barr, 2015. "New venture strategic adaptation: The interplay of belief structures and industry context," Strategic Management Journal, Wiley Blackwell, vol. 36(8), pages 1245-1263, August.

    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:13:y:2022:i:1:d:10.1038_s41467-022-31600-0. 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.