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Case Reports
. 2025 Jul 21;25(1):932.
doi: 10.1186/s12879-025-11355-x.

Respiratory microbiome alterations, coinfections and virus intra-host evolution in a persistently active SARS-CoV-2 infection

Affiliations
Case Reports

Respiratory microbiome alterations, coinfections and virus intra-host evolution in a persistently active SARS-CoV-2 infection

Lučka Boltežar et al. BMC Infect Dis. .

Abstract

Background: Respiratory microbiome alterations, coinfections, and virus intrahost evolution are of great interest in persistently viable SARS-CoV-2 infections in the context of antiviral treatment and immune response. However, samples before, during, and after infection are seldom available to researchers. Therefore, there has been a significant lack of opportunities to comprehensively study microbiota homeostasis, coinfections, and virus intra-host evolution on the consensus and minor variants scale in response to antiviral treatments and patient immune response.

Case presentation: A 63-year-old female patient with diffuse large B-cell lymphoma received multiple treatments for SARS-CoV-2 that remained active 169 days. Together, 32 respiratory and 19 serum samples were collected before, during, and after (- 398 to 233 days) COVID-19. Subsets were selected for virus viability testing by culture (20) and subgenomic (sg) RNA (20) measurement, intra-host evolution assessment (18), microbiome composition analysis (28), and coinfection identification (11). IgA/IgG and neutralizing anti-SARS-CoV-2 antibodies were measured 19 times throughout the infection. SARSCoV-2 lineage XBB.1.16.11 persisted and remained viable until 116 days post infection (PI) regardless of treatments. No sgRNA marker tested was suitable for virus viability prediction. IgG/IgA antibodies first appeared after 38 days, but the virus persisted regardless of multiple plasma treatments before neutralizing antibodies appeared (100 days PI) and finally cleared the virus 116 days PI. Consensus-level mutations fluctuated around 102.7 ± 4.0, and minor variants increased from six to 61 with a mutation rate of 4.9 × 10-3 per site per year, with the highest average number of mutations per gene length in S and E (0.013) with surges after every antiviral treatment. The transversion/transition ratio increased from 0.50 (day 0) to 0.57 (day 24) with a steady decrease to 0.48 (day 147). Mutational signature analysis showed dominance of C > T substitutions consistent with APOBEC antiviral enzyme activity. Upper respiratory microbiota showed three distinct profiles with varying α-/β-diversity and an association of Staphylococcus spp. with COVID-19.

Conclusions: These findings further elucidate the dynamics of intra-host viral evolution and complexities of virus clearance in individuals with hematological malignancies and highlight the impact of antiviral treatments on the potential of virus variants emergence in longitudinally infectious patients due to delayed immune response.

Keywords: B-cell lymphoma; Hematological malignancies; Microbiome; Prolonged SARS-CoV-2 infection; Virus evolution; Virus shedding.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: This study was performed in accordance with the ethical guidelines for human research, the World Medical Association’s Declaration of Helsinki, the Oviedo Convention on Human Rights and Biomedicine, and the Slovenian Code of Medical Deontology. The study was approved by the Institutional Ethics Committee (ERIDNPVO-0052/2024). Consent for publication: A written informed consent was obtained by the patient for the publication of this case report. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Composite graph showing the timeline of antiviral therapy type and administration strategy with corresponding genomic and subgenomic rtRT-PCR results and correlation with TCID50/ml, neutralizing antibody, and IgG antibody quantities
Fig. 2
Fig. 2
A Accumulation of mutations (n) on the major and minor variant level against the reference Wuhan Hu-1 strain (GeneBank: NC_045512.2) in relation to underlying disease and antiviral treatment. B Ratio between transversions versus transitions (Tv/Ts) and synonymous versus non-synonymous mutations (Syn/nSyn) in relation to days PI and underlying disease and antiviral treatment. C Single base substitution (SBS)–96 mutational signatures derived from 17 sequenced samples
Fig. 3
Fig. 3
Heatmap showing the 21 most abundant bacterial operational taxonomic units (OTUs) (y-axis) per day PI (x-axis). The remaining species detected are grouped in one category (Others). Each of the three phases represents samples according to SARS-CoV-2 infection status. The color of each box corresponds to the relative abundance of respective bacterial species as log10%. If a box is not visible, the species was not detected in the respective sample; * marks days on which a specific antiviral treatment was administered

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