IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-52979-y.html
   My bibliography  Save this article

Glycerophospholipid remodeling is critical for orthoflavivirus infection

Author

Listed:
  • Julia Hehner

    (University of Marburg)

  • Laura Schneider

    (University of Marburg)

  • Anna Woitalla

    (Research Center Borstel – Leibniz Lung Center)

  • Benjamin Ott

    (Justus Liebig University Giessen)

  • Kim Chi Thi Vu

    (University of Marburg)

  • Anja Schöbel

    (University of Marburg)

  • Torsten Hain

    (Justus Liebig University Giessen)

  • Dominik Schwudke

    (Research Center Borstel – Leibniz Lung Center
    Partner Site Hamburg-Lübeck-Borstel-Riems
    Site Research Center Borstel – Leibniz Lung Center)

  • Eva Herker

    (University of Marburg)

Abstract

Flavivirus infection is tightly connected to host lipid metabolism. Here, we performed shotgun lipidomics of cells infected with neurotropic Zika, West Nile, and tick-borne encephalitis virus, as well as dengue and yellow fever virus. Early in infection specific lipids accumulate, e.g., neutral lipids in Zika and some lysophospholipids in all infections. Ceramide levels increase following infection with viruses that cause a cytopathic effect. In addition, fatty acid desaturation as well as glycerophospholipid metabolism are significantly altered. Importantly, depletion of enzymes involved in phosphatidylserine metabolism as well as phosphatidylinositol biosynthesis reduce orthoflavivirus titers and cytopathic effects while inhibition of fatty acid monounsaturation only rescues from virus-induced cell death. Interestingly, interfering with ceramide synthesis has opposing effects on virus replication and cytotoxicity depending on the targeted enzyme. Thus, lipid remodeling by orthoflaviviruses includes distinct changes but also common patterns shared by several viruses that are needed for efficient infection and replication.

Suggested Citation

  • Julia Hehner & Laura Schneider & Anna Woitalla & Benjamin Ott & Kim Chi Thi Vu & Anja Schöbel & Torsten Hain & Dominik Schwudke & Eva Herker, 2024. "Glycerophospholipid remodeling is critical for orthoflavivirus infection," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52979-y
    DOI: 10.1038/s41467-024-52979-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-52979-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-52979-y?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. Qian Chen & Jordi Gouilly & Yann J. Ferrat & Ana Espino & Quentin Glaziou & Géraldine Cartron & Hicham El Costa & Reem Al-Daccak & Nabila Jabrane-Ferrat, 2020. "Metabolic reprogramming by Zika virus provokes inflammation in human placenta," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    2. Hothorn, Torsten & Hornik, Kurt & van de Wiel, Mark A. & Zeileis, Achim, 2006. "A Lego System for Conditional Inference," The American Statistician, American Statistical Association, vol. 60, pages 257-263, 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. Georgina Milne & Andrew William Byrne & Emma Campbell & Jordon Graham & John McGrath & Raymond Kirke & Wilma McMaster & Jesko Zimmermann & Adewale Henry Adenuga, 2022. "Quantifying Land Fragmentation in Northern Irish Cattle Enterprises," Land, MDPI, vol. 11(3), pages 1-16, March.
    2. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    3. Seibold Heidi & Zeileis Achim & Hothorn Torsten, 2016. "Model-Based Recursive Partitioning for Subgroup Analyses," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 45-63, May.
    4. Marc Ditzhaus & Arnold Janssen, 2020. "Bootstrap and permutation rank tests for proportional hazards under right censoring," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 493-517, July.
    5. Elsäßer Amelie & Victor Anja & Hommel Gerhard, 2011. "Multiple Testing in Candidate Gene Situations: A Comparison of Classical, Discrete, and Resampling-Based Procedures," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-21, November.
    6. Torsten Hothorn & Achim Zeileis, 2008. "Generalized Maximally Selected Statistics," Biometrics, The International Biometric Society, vol. 64(4), pages 1263-1269, December.
    7. Jorge M. Arevalillo & Hilario Navarro, 2021. "Skewness-Kurtosis Model-Based Projection Pursuit with Application to Summarizing Gene Expression Data," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
    8. Hongjun Bai & Eric Lewitus & Yifan Li & Paul V. Thomas & Michelle Zemil & Mélanie Merbah & Caroline E. Peterson & Thujitha Thuraisamy & Phyllis A. Rees & Agnes Hajduczki & Vincent Dussupt & Bonnie Sli, 2024. "Contemporary HIV-1 consensus Env with AI-assisted redesigned hypervariable loops promote antibody binding," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    9. repec:jss:jstsof:34:i01 is not listed on IDEAS
    10. Bryan Keller, 2012. "Detecting Treatment Effects with Small Samples: The Power of Some Tests Under the Randomization Model," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 324-338, April.
    11. Zeileis, Achim & Croissant, Yves, 2010. "Extended Model Formulas in R: Multiple Parts and Multiple Responses," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i01).
    12. Nordhausen, Klaus & Oja, Hannu, 2011. "Multivariate L1 Statistical Methods: The Package MNM," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i05).
    13. Santiago Carbo-Valverde & Pedro Cuadros-Solas & Francisco Rodríguez-Fernández, 2020. "A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-39, October.
    14. Ribas, Giovana Ghisleni & Zanon, Alencar Junior & Streck, Nereu Augusto & Pilecco, Isabela Bulegon & de Souza, Pablo Mazzuco & Heinemann, Alexandre Bryan & Grassini, Patricio, 2021. "Assessing yield and economic impact of introducing soybean to the lowland rice system in southern Brazil," Agricultural Systems, Elsevier, vol. 188(C).
    15. Tlacaelel Rivera-Núñez & Luis García-Barrios & Mariana Benítez & Julieta A. Rosell & Rodrigo García-Herrera & Erin Estrada-Lugo, 2022. "Unravelling the Paradoxical Seasonal Food Scarcity in a Peasant Microregion of Mexico," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    16. Fay, Michael P. & Shaw, Pamela A., 2010. "Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i02).
    17. Jones, Payton J. & Mair, Patrick & Simon, Thorsten & Zeileis, Achim, 2019. "Network Model Trees," OSF Preprints ha4cw, Center for Open Science.
    18. Emilie Branche & Ying-Ting Wang & Karla M. Viramontes & Joan M. Valls Cuevas & Jialei Xie & Fernanda Ana-Sosa-Batiz & Norazizah Shafee & Sascha H. Duttke & Rachel E. McMillan & Alex E. Clark & Michael, 2022. "SREBP2-dependent lipid gene transcription enhances the infection of human dendritic cells by Zika virus," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. Shuqin Zeng & Alexandre Almeida & Shiping Li & Junjie Ying & Hua Wang & Yi Qu & R. Paul Ross & Catherine Stanton & Zhemin Zhou & Xiaoyu Niu & Dezhi Mu & Shaopu Wang, 2024. "A metagenomic catalog of the early-life human gut virome," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    20. Chloe Bracis & Eliezer Gurarie & Bram Van Moorter & R Andrew Goodwin, 2015. "Memory Effects on Movement Behavior in Animal Foraging," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    21. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.

    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_s41467-024-52979-y. 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.