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Volume 28, Number 9—September 2022
Research Letter

Highly Divergent SARS-CoV-2 Alpha Variant in Chronically Infected Immunocompromised Person

Bas B. Oude MunninkComments to Author , Roel H.T. Nijhuis, Nathalie Worp, Marjan Boter, Babette Weller, Babs E. Verstrepen, Corine GeurtsvanKessel, Maarten L. Corsten, Anne Russcher, and Marion Koopmans
Author affiliations: Erasmus Medical Center, Rotterdam, the Netherlands (B.B. Oude Munnink, N. Worp, M. Boter, B. Weller, B.E. Verstrepen, C. GeurtsvanKessel, M. Koopmans); Meander Medical Center, Amersfoort, the Netherlands (R.H.T. Nijhuis, M.L. Corsten, A. Russcher)

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Abstract

We detected a highly divergent SARS-CoV-2 Alpha variant in an immunocompromised person several months after the latest detection of the Alpha variant in the Netherlands. The patient was infected for 42 weeks despite several treatment regimens and disappearance of most clinical symptoms. We identified several potential immune escape mutations in the spike protein.

Persons with an immune deficiency can be infected with viral pathogens for a prolonged period. This occurrence has been reported for noroviruses (1) but also has been documented for SARS-CoV-2 (2). We report a patient with type 2 diabetes mellitus and chronic lymphocytic leukemia who had been infected for 42 weeks with SARS-CoV-2. The patient was hospitalized on April 23, 2021, and received optiflow treatment with dexamethasone, tocilizumab, and remdesivir. After May 11, 2021, the patient recovered and experienced no residual symptoms. Almost 9 months later, on February 3, 2022, the patient was readmitted to the hospital for leukemia-related anemia and tested positive for SARS-CoV-2 once again. A month later, the patient died of causes unrelated to SARS-CoV-2.

Figure

Phylogenetic analysis of all downsampled SARS-CoV-2 Alpha variants (B.1.1.7) in the Netherlands. Scale bar indicates number of substitutions per site.

Figure. Phylogenetic analysis of all downsampled SARS-CoV-2 Alpha variants (B.1.1.7) in the Netherlands. Scale bar indicates number of substitutions per site.

In all, the patient tested positive for SARS-CoV-2 in 6 nasal or pharyngeal swab specimens. We performed whole-genome sequencing on all specimens by using an amplicon-based sequencing approach, as previously described, with the updated ARTIC primers version 4.1 (ARTIC Network, https://artic.network/mcov-2019) (3). The sequencing was successful for 2 specimens from mid-2021 and 2 specimens from early 2022 (Table). Pangolin version 4.0.6 PLEARN-v1.8 classification using default settings demonstrated that all sequenced viruses belonged to the Alpha (B.1.1.7) variant of concern (VOC) (5), Nextclade version 1.14.1 strain 20I (6). The samples were run on flowcells containing 96 samples, including a positive and negative control (pangolin lineage B.1.77.50) to exclude potential contamination. GISAID’s EpiCoV database (https://www.gisaid.org) showed that the latest isolate identified as Alpha in the Netherlands was collected on October 13, 2021, suggesting that the variant had not been circulating in the Netherlands since that time. Phylogenetic analysis by IQ-TREE (7) using all unique downsampled Alpha sequences available in GISAID (8) from the Netherlands showed that the viruses detected on January 31 and February 3, 2022, were identical but distinct from previously observed Alpha lineages in the Netherlands (Figure). A zoom-in of the phylogenetic tree showed that all sequences of the virus in the patient cluster together in a separate branch, suggesting that the patient was chronically infected with this specific variant of SARS-CoV-2 (Appendix Figure 1).

Over time, we identified 24 nucleotide mutations when we compared sequences from the earliest and latest timepoints. Of these mutations, 19 mutations were nonsynonymous, resulting in 13 amino acid mutations in open reading frame 1ab and 6 amino acid mutations in the spike protein (Table; Appendix Figure 2). Of the 6 mutations in the spike protein, 3 are located in the receptor-binding domain (G339D, N439K, and V483F), 2 are located in the N-terminal domain (W64R and G142V), and 1 is located in the transmembrane domain (P1263L). The mutation G339D can also be found in all Omicron VOCs. G142V has coevolved independently in >1 immunocompromised person with a long-term Alpha variant infection (S.A.J. Wilkinson et al., unpub. data, https://doi.org/10.1101/2022.03.02.22271697), and a mutation in the same position (G142D) has also been described in the Delta (B.1.617.2) and in all Omicron variants.

Our data imply that, despite receiving treatment with dexamethasone, tocilizumab, and remdesivir and being discharged without residual symptoms, the patient had not cleared the infection. Unfortunately, ex vivo rescuing of the viruses from the swabs to assess potential immune escape from circulating neutralizing antibodies was not successful, but some of the mutations we observed in this immunocompromised person with long-term SARS-CoV-2 infection could be linked to immune escape. Previous studies suggest that the G339D mutation affects neutralization in a subset of neutralizing antibodies (9) and that the N439K mutation causes immune escape and enhances binding affinity for human angiotensin-converting enzyme 2 (10,11). In addition, the V483F mutation has been shown previously to cause immune escape (12).

The constellation of this particular set of mutations has not been found elsewhere yet despite active ongoing genomic surveillance, which indicates the virus did not spread in the population (Appendix Table). Nonetheless, the detection of an Alpha variant infection in an immunocompromised person in a time when Omicron was the primary circulating variant indicates that reinfection is unlikely, which is also supported by phylogenetic analysis. This occurrence illustrates that this VOC did not completely disappear although it was last detected on October 13, 2021, in the Netherlands. In addition, several mutations were found that are also present in other VOCs, suggesting that VOCs might have emerged in long-term infected immunocompromised persons as suggested previously (13).

Our findings illustrate that in previously unidentified reservoirs, such as immunocompromised persons, virus variants might still be present even when these variants are regarded as extinct and are no longer circulating among the population. In addition, we show that several mutations associated with immune escape that maintain virulence and fitness can accumulate in such an immunocompromised person. Continuous genomic surveillance in long-term infected persons is essential to elucidate their potential role in the emergence of future VOCs.

Dr. Oude Munnink is a researcher at the Erasmus Medical Center. His research interests include genomic surveillance of pathogens and viral zoonoses.

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Acknowledgments

We thank the originating laboratories, where specimens were first obtained, and the submitting laboratories, where sequence data were generated and submitted to GISAID’s EpiCoV Database, on which this research is based. All contributors of data may be contacted directly through the GISAID website (http://platform.gisaid.org).

This work is supported by European Union’s Horizon 2020 research and innovation program under grant nos. 874735 (VEO) and 101003589 (RECoVER), as well as by ZonMW under grant no. 10150062010005.

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References

  1. van Beek  J, de Graaf  M, Smits  S, Schapendonk  CME, Verjans  GMGM, Vennema  H, et al. Whole-genome next-generation sequencing to study within-host evolution of norovirus (NoV) among immunocompromised patients with chronic NoV infection. J Infect Dis. 2017;216:151324. DOIPubMedGoogle Scholar
  2. Corey  L, Beyrer  C, Cohen  MS, Michael  NL, Bedford  T, Rolland  M. SARS-CoV-2 variants in patients with immunosuppression. N Engl J Med. 2021;385:5626. DOIPubMedGoogle Scholar
  3. Oude Munnink  BB, Nieuwenhuijse  DF, Stein  M, O’Toole  Á, Haverkate  M, Mollers  M, et al.; Dutch-Covid-19 response team. Rapid SARS-CoV-2 whole-genome sequencing and analysis for informed public health decision-making in the Netherlands. Nat Med. 2020;26:140510. DOIPubMedGoogle Scholar
  4. Corman  VM, Landt  O, Kaiser  M, Molenkamp  R, Meijer  A, Chu  DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020;25:2000045. DOIPubMedGoogle Scholar
  5. Rambaut  A, Holmes  EC, O’Toole  Á, Hill  V, McCrone  JT, Ruis  C, et al. A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nat Microbiol. 2020;5:14037. DOIPubMedGoogle Scholar
  6. Aksamentov  I, Roemer  C, Hodcroft  EB, Neher  RA. Nextclade: clade assignment, mutation calling and quality control for viral genomes. J Open Source Softw. 2021;6:3773. DOIGoogle Scholar
  7. Minh  BQ, Schmidt  HA, Chernomor  O, Schrempf  D, Woodhams  MD, von Haeseler  A, et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol. 2020;37:15304. DOIPubMedGoogle Scholar
  8. Shu  Y, McCauley  J. GISAID: Global initiative on sharing all influenza data - from vision to reality. Euro Surveill. 2017;22:30494. DOIPubMedGoogle Scholar
  9. Cao  Y, Wang  J, Jian  F, Xiao  T, Song  W, Yisimayi  A, et al. Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies. Nature. 2022;602:65763. DOIPubMedGoogle Scholar
  10. Thomson  EC, Rosen  LE, Shepherd  JG, Spreafico  R, da Silva Filipe  A, Wojcechowskyj  JA, et al.; ISARIC4C Investigators; COVID-19 Genomics UK (COG-UK) Consortium. Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity. Cell. 2021;184:11711187.e20. DOIPubMedGoogle Scholar
  11. Starr  TN, Greaney  AJ, Hannon  WW, Loes  AN, Hauser  K, Dillen  JR, et al. Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution. Science. 2022;377:4204. DOIPubMedGoogle Scholar
  12. Weisblum  Y, Schmidt  F, Zhang  F, DaSilva  J, Poston  D, Lorenzi  JCC, et al. Escape from neutralizing antibodies by SARS-CoV-2 spike protein variants. eLife. 2020;9:1. DOIPubMedGoogle Scholar
  13. Oude Munnink  BB, Worp  N, Nieuwenhuijse  DF, Sikkema  RS, Haagmans  B, Fouchier  RAM, et al. The next phase of SARS-CoV-2 surveillance: real-time molecular epidemiology. Nat Med. 2021;27:151824. DOIPubMedGoogle Scholar

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Cite This Article

DOI: 10.3201/eid2809.220875

Original Publication Date: August 04, 2022

Table of Contents – Volume 28, Number 9—September 2022

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Bas Oude Munnink, Erasmus Medical Center, Department of Viroscience, Doctor Molewaterplein 40, 3015GD Rotterdam, The Netherlands

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Page created: July 12, 2022
Page updated: August 19, 2022
Page reviewed: August 19, 2022
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