Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Cell Death Discovery
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. cell death discovery
  3. articles
  4. article
Variant-divergent death: Omicron intensifies bystander T-cell apoptosis via GDF15–BCL2L13
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 28 March 2026

Variant-divergent death: Omicron intensifies bystander T-cell apoptosis via GDF15–BCL2L13

  • Chao Gao1 na1,
  • Hanbing Chen1 na1,
  • Ying Chi2 na1,
  • Xinxing Lu3,
  • Jiahuang Li4,
  • Ying Tang  ORCID: orcid.org/0000-0002-9526-96131,
  • Ruixuan Yu1,
  • Nan Shi1,
  • Ling Liu1,
  • Jianfeng Xie  ORCID: orcid.org/0000-0002-6097-91721,
  • Haibo Qiu1,
  • Jie Chao  ORCID: orcid.org/0000-0002-7800-35575 &
  • …
  • Shufeng Li  ORCID: orcid.org/0000-0003-4857-45326 

Cell Death Discovery , Article number:  (2026) Cite this article

  • 1962 Accesses

  • 45 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Infection
  • Viral infection

Abstract

Background

Severe Omicron cases present profound lymphocytopenia, suggesting variant-specific immune injury.

Results

We identify CD63 as a conserved T-cell host factor supporting ACE2-independent SARS-CoV-2 entry. Despite lower intracellular viral loads than the ancestral strain, Omicron elicits enhanced T-cell apoptosis largely through a bystander mechanism. Omicron-stimulated epithelial cells secrete GDF15, which upregulates the pro-apoptotic protein BCL2L13 in T cells and thereby remotely accelerates apoptosis in uninfected bystanders. Functionally, recombinant GDF15 increases BCL2L13 and apoptosis, while genetic dampening of BCL2L13 blunts Omicron-specific high-intensity bystander death. In clinical samples, plasma GDF15 associates with mortality, SOFA scores, and lower lymphocyte counts, bridging the epithelial–immune axis to patient outcomes.

Conclusions

Our data delineate a two-track model of Omicron immune injury—CD63-enabled T-cell entry plus GDF15–BCL2L13-driven bystander apoptosis—that reconciles lower epithelial cytopathicity with deeper T-cell depletion in critical disease. These findings nominate the GDF15–BCL2L13 axis as a mechanistic marker and potential point of intervention.

Similar content being viewed by others

Immunological and metabolic characteristics of the Omicron variants infection

Article Open access 21 January 2023

Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant

Article Open access 01 February 2022

Ablation of CD8+ T cell recognition of an immunodominant epitope in SARS-CoV-2 Omicron variants BA.1, BA.2 and BA.3

Article Open access 27 October 2022

Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (https://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifiers PXD071450 and PXD071622. The RNA-seq data have been deposited in the OMIX database under accession numbers OMIX015179 and OMIX013909. The single-cell transcriptomics data have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE312913. The anonymized dataset analyzed in this study can be made available upon reasonable request. Requests must be accompanied by a detailed research protocol and analysis plan, and must have appropriate institutional approvals, including data transfer agreements, in place prior to access. Requests should be formally addressed to Professor Haibo Qiu, Head of the Jiangsu Provincial Key Laboratory of Critical Care Medicine (haiboq2000@163.com).

References

  1. Shen XR, Geng R, Li Q, Chen Y, Li SF, Wang Q, et al. ACE2-independent infection of T lymphocytes by SARS-CoV-2. Signal Transduct Target Ther. 2022;7:83.

    Google Scholar 

  2. Huang W, Berube J, McNamara M, Saksena S, Hartman M, Arshad T, et al. Lymphocyte subset counts in COVID-19 patients: a meta-analysis. Cytometry A. 2020;97:772–6.

    Google Scholar 

  3. Wilk AJ, Rustagi A, Zhao NQ, Roque J, Martínez-Colón GJ, McKechnie JL, et al. A single-cell atlas of the peripheral immune response in patients with severe COVID-19. Nat Med. 2020;26:1070–6.

    Google Scholar 

  4. Henry BM. COVID-19, ECMO, and lymphopenia: a word of caution. Lancet Respir Med. 2020;8:e24.

    Google Scholar 

  5. Wei YY, Wang RR, Zhang DW, Chen SH, Tan YY, Zhang WT, et al. Differential characteristics of patients for hospitalized severe COVID-19 infected by the Omicron variants and wild type of SARS-CoV-2 in China. J Inflamm Res. 2023;16:3063–78.

    Google Scholar 

  6. Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020;181:271–280.e8.

    Google Scholar 

  7. Shang J, Ye G, Shi K, Wan Y, Luo C, Aihara H, et al. Structural basis of receptor recognition by SARS-CoV-2. Nature. 2020;581:221–4.

    Google Scholar 

  8. Wang K, Chen W, Zhang Z, Deng Y, Lian JQ, Du P, et al. CD147-spike protein is a novel route for SARS-CoV-2 infection to host cells. Signal Transduct Target Ther. 2020;5:283.

    Google Scholar 

  9. Cantuti-Castelvetri L, Ojha R, Pedro LD, Djannatian M, Franz J, Kuivanen S, et al. Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity. Science. 2020;370:856–60.

    Google Scholar 

  10. Daussy CF, Galais M, Pradel B, Robert-Hebmann V, Sagnier S, Pattingre S, et al. HIV-1 Env induces pexophagy and an oxidative stress leading to uninfected CD4+ T cell death. Autophagy. 2021;17:2465–74.

    Google Scholar 

  11. Finkel TH, Tudor-Williams G, Banda NK, Cotton MF, Curiel T, Monks C, et al. Apoptosis occurs predominantly in bystander cells and not in productively infected cells of HIV- and SIV-infected lymph nodes. Nat Med. 1995;1:129–34.

    Google Scholar 

  12. Ivanusic D. HIV-1 cell-to-cell spread: CD63–gp41 interaction at the virological synapse. AIDS Res Hum Retroviruses. 2014;30:844–5.

    Google Scholar 

  13. New C, Lee ZY, Tan KS, Wong AHP, Wang DY, Tran T. Tetraspanins: host factors in viral infections. Int J Mol Sci. 2021;22:11609.

    Google Scholar 

  14. von Lindern JJ, Rojo D, Grovit-Ferbas K, Yeramian C, Deng C, Herbein G, et al. Potential role for CD63 in CCR5-mediated human immunodeficiency virus type 1 infection of macrophages. J Virol. 2003;77:3624–33.

    Google Scholar 

  15. Raaben M, Jae LT, Herbert AS, Kuehne AI, Stubbs SH, Chou YY, et al. NRP2 and CD63 are host factors for Lujo virus cell entry. Cell Host Microbe. 2017;22:688–696.e5.

    Google Scholar 

  16. Guan GK, Liu QH, Li C, Huang J. Cloning of Litopenaeus vannamei CD63 and it’s role in white spot syndrome virus infection. Dev Comp Immunol. 2016;60:209–17.

    Google Scholar 

  17. Elsebai MF, Habib ESE. Blood pH and COVID-19. Arch Pharm. 2023;356:e2200558.

    Google Scholar 

  18. de Prost N, Audureau E, Heming N, Gault E, Pham T, Chaghouri A, et al. Clinical phenotypes and outcomes associated with SARS-CoV-2 variant Omicron in critically ill French patients with COVID-19. Nat Commun. 2022;13:6025.

    Google Scholar 

  19. Bhattacharya M, Sharma AR, Dhama K, Agoramoorthy G, Chakraborty C. Omicron variant (B.1.1.529) of SARS-CoV-2: understanding mutations in the genome, S-glycoprotein, and antibody-binding regions. Geroscience. 2022;44:619–37.

    Google Scholar 

  20. Xie J, Wu W, Li S, Hu Y, Hu M, Li J, et al. Clinical characteristics and outcomes of critically ill patients with novel coronavirus infectious disease (COVID-19) in China: a retrospective multicenter study. Intensive Care Med. 2020;46:1863–72.

    Google Scholar 

  21. Feng Y, Su Q, Li L, He X, Niu P, Guo X, et al. Genomic surveillance for SARS-CoV-2 variants: dominance of XBB replacement— China, January–June 2023. China CDC Wkly. 2024;6:324–31.

    Google Scholar 

  22. Kwok CS, Dashti M, Tafuro J, Nasiri M, Muntean EA, Wong N, et al. Methods to disinfect and decontaminate SARS-CoV-2: a systematic review of in vitro studies. Ther Adv Infect Dis. 2021;8:2049936121998548.

    Google Scholar 

  23. Honorato RV, Trellet ME, Jiménez-García B, Schaarschmidt JJ, Giulini M, Reys V, et al. The HADDOCK2.4 web server for integrative modeling of biomolecular complexes. Nat Protoc. 2024;19:3219–41.

    Google Scholar 

  24. Chen Z, Huang J, Zhang J, Xu Z, Li Q, Ouyang J, et al. A storm in a teacup—a biomimetic lung microphysiological system in conjunction with a deep-learning algorithm to monitor lung pathological and inflammatory reactions. Biosens Bioelectron. 2023;219:114772.

    Google Scholar 

  25. Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P. The Molecular Signatures Database (MSigDB) Hallmark Gene Set Collection. Cell Syst. 2015;1:417–25.

    Google Scholar 

  26. Chen H, Luo H, Wang J, Li J, Jiang Y. Identification of a pyroptosis-related prognostic signature in breast cancer. BMC Cancer. 2022;22:429.

    Google Scholar 

  27. Liang K, Barnett KC, Hsu M, Chou WC, Bais SS, Riebe K, et al. Initiator cell death event induced by SARS-CoV-2 in the human airway epithelium. Sci Immunol. 2024;9:eadn0178.

    Google Scholar 

  28. Li Y, Schneider AM, Mehta A, Sade-Feldman M, Kays KR, Gentili M, et al. SARS-CoV-2 viremia is associated with distinct proteomic pathways and predicts COVID-19 outcomes. J Clin Invest. 131:e148635.

  29. Giacomelli A, Righini E, Micheli V, Pinoli P, Bernasconi A, Rizzo A, et al. SARS-CoV-2 viremia and COVID-19 mortality: a prospective observational study. PLoS One. 2023;18:e0281052.

    Google Scholar 

  30. Ren X, Wen W, Fan X, Hou W, Su B, Cai P, et al. COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas. Cell. 2021;184:1895–1913.e19.

    Google Scholar 

  31. Röling M, Mollapour Sisakht M, Ne E, Moulos P, Crespo R, Stoszko M, et al. A two-color haploid genetic screen identifies novel host factors involved in HIV-1 latency. mBio. 2021;12:e0298021.

    Google Scholar 

  32. Ivanusic D, Madela K, Bannert N, Denner J. The large extracellular loop of CD63 interacts with gp41 of HIV-1 and is essential for establishing the virological synapse. Sci Rep. 2021;11:10011.

    Google Scholar 

  33. Jimenez L, Campos Codo A, Sampaio V, de S, Oliveira AER, Ferreira LKK, et al. Acid pH Increases SARS-CoV-2 Infection and the Risk of Death by COVID-19. Front Med. 2021;8:637885.

    Google Scholar 

  34. Fritsch M, Günther SD, Schwarzer R, Albert MC, Schorn F, Werthenbach JP, et al. Caspase-8 is the molecular switch for apoptosis, necroptosis and pyroptosis. Nature. 2019;575:683–7.

    Google Scholar 

  35. Banga S, Gao P, Shen X, Fiscus V, Zong WX, Chen L, et al. Legionella pneumophila inhibits macrophage apoptosis by targeting pro-death members of the Bcl2 protein family. Proc Natl Acad Sci USA. 2007;104:5121–6.

    Google Scholar 

  36. Kim JY, So KJ, Lee S, Park JH. Bcl-rambo induces apoptosis via interaction with the adenine nucleotide translocator. FEBS Lett. 2012;586:3142–9.

    Google Scholar 

  37. Kataoka T, Holler N, Micheau O, Martinon F, Tinel A, Hofmann K, et al. Bcl-rambo, a novel Bcl-2 homologue that induces apoptosis via its unique C-terminal extension. J Biol Chem. 2001;276:19548–54.

    Google Scholar 

  38. Bu S, Royston L, Mabanga T, Berini CA, Tremblay C, Lebouché B, et al. Proteomics validates circulating GDF-15 as an independent biomarker for COVID-19 severity. Front Immunol. 2024;15:1377126.

    Google Scholar 

  39. Myhre PL, Prebensen C, Strand H, Røysland R, Jonassen CM, Rangberg A, et al. Growth differentiation factor 15 provides prognostic information superior to established cardiovascular and inflammatory biomarkers in unselected patients hospitalized with COVID-19. Circulation. 2020;142:2128.

    Google Scholar 

Download references

Acknowledgements

We extend our sincere gratitude to the Biosafety Level 3 Laboratory of Jiangsu Provincial Center for Disease Control and Prevention (China) for their support in viral infection experiments of this study. We also thank Shanghai OE Biotech Co., Ltd. for performing the RNA-Seq sequencing, and the Triple-TOF5600 & ZenoTOF 7600 Mass Spectrometry Platform at the Translational Medicine Center of Nanjing University Medical School for their technical assistance with proteomic sequencing.

Funding

Project supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0506500, 2024ZD0530000, the Special Funds of the National Natural Science Foundation of China (82341032), the Natural Science Foundation of Jiangsu Province (BK20221413).

Author information

Author notes
  1. These authors contributed equally: Chao Gao, Hanbing Chen, Ying Chi.

Authors and Affiliations

  1. Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China

    Chao Gao, Hanbing Chen, Ying Tang, Ruixuan Yu, Nan Shi, Ling Liu, Jianfeng Xie & Haibo Qiu

  2. Jiangsu Provincial Center for Disease Control and Prevention, NHC Key laboratory of Enteric Pathogenic Microbiology, Nanjing, China

    Ying Chi

  3. Department of Critical Care Medicine, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, China

    Xinxing Lu

  4. School of Biopharmacy, China Pharmaceutical University, Nanjing, China

    Jiahuang Li

  5. Department of Physiology, School of Medicine, Southeast University, Nanjing, China

    Jie Chao

  6. Department of Biochemistry, School of Medicine, Southeast University, Nanjing, China

    Shufeng Li

Authors
  1. Chao Gao
    View author publications

    Search author on:PubMed Google Scholar

  2. Hanbing Chen
    View author publications

    Search author on:PubMed Google Scholar

  3. Ying Chi
    View author publications

    Search author on:PubMed Google Scholar

  4. Xinxing Lu
    View author publications

    Search author on:PubMed Google Scholar

  5. Jiahuang Li
    View author publications

    Search author on:PubMed Google Scholar

  6. Ying Tang
    View author publications

    Search author on:PubMed Google Scholar

  7. Ruixuan Yu
    View author publications

    Search author on:PubMed Google Scholar

  8. Nan Shi
    View author publications

    Search author on:PubMed Google Scholar

  9. Ling Liu
    View author publications

    Search author on:PubMed Google Scholar

  10. Jianfeng Xie
    View author publications

    Search author on:PubMed Google Scholar

  11. Haibo Qiu
    View author publications

    Search author on:PubMed Google Scholar

  12. Jie Chao
    View author publications

    Search author on:PubMed Google Scholar

  13. Shufeng Li
    View author publications

    Search author on:PubMed Google Scholar

Contributions

All authors contributed to the study’s conception and design. Data collection and analysis were performed by CG; single-cell transcriptome data were analyzed by HC; SARS-CoV-2 experimental operations in the Biosafety Level 3 (BSL-3) laboratory were conducted by YC; molecular docking and data analysis were performed by JL and YT; XL, RY, NS, LL, and JX provided clinically relevant data support and revised the manuscript. JC, JX, HQ and SL supervised the study, were responsible for financial support, and oversaw corresponding authorship. The first draft of the manuscript was written by C.G., and all authors read and approved the final manuscript.

Corresponding authors

Correspondence to Haibo Qiu, Jie Chao or Shufeng Li.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary material (download PDF )

WB_orginal data (download PDF )

FACs_original data (download ZIP )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, C., Chen, H., Chi, Y. et al. Variant-divergent death: Omicron intensifies bystander T-cell apoptosis via GDF15–BCL2L13. Cell Death Discov. (2026). https://doi.org/10.1038/s41420-026-03079-x

Download citation

  • Received: 30 August 2025

  • Revised: 20 February 2026

  • Accepted: 12 March 2026

  • Published: 28 March 2026

  • DOI: https://doi.org/10.1038/s41420-026-03079-x

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Journal Information
  • About the Editors
  • Contact
  • About the Partner
  • Upcoming Conferences
  • Open Access Fees and Funding

Publish with us

  • For Authors & Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Cell Death Discovery (Cell Death Discov.)

ISSN 2058-7716 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited