Evidence map›Paper›PMID 40691821›Full record

ArticleBMC infectious diseases2025

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

Lučka Boltežar, Rok Kogoj, Katarina Resman Rus, Alen Suljič, Martin Bosilj, Nataša Knap, Polonca Mali, Janez Tomažič, Tatjana Avšič-Županc, Misa Korva

Abstract readCase Reports
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Lučka BoltežarInstitute of Oncology Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0001-7280-1470
Rok KogojInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-8999-4923
Katarina Resman RusInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0003-0510-0986
Alen SuljičInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-4596-7931
Martin BosiljInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-4663-9622
Nataša KnapInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-8068-7302
Polonca MaliSlovenian Institute for Transfusion Medicine, Ljubljana, Slovenia.
Janez TomažičDepartment of Infectious Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Tatjana Avšič-ŽupancInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0001-6243-0688
Misa KorvaInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. misa.korva@mf.uni-lj.si.ORCID http://orcid.org/0000-0003-1501-1004

Funding

The Slovenian Research and Innovation Agency P3-0083, J3-50101The Slovenian Research and Innovation Agency P3-0289Univerza v Ljubljani MRIC-UL-IC-BSL3+, IP-022
6 · The paper itself

Abstract

backgroundRespiratory 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

conclusionsThese 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.

Indexed as

CoinfectionCOVID-19MicrobiotaRespiratory SystemSARS-CoV-2Antibodies, ViralFemaleHumansMiddle AgedAntibodies, ViralB-cell lymphomaHematological malignanciesMicrobiomeProlonged SARS-CoV-2 infectionVirus evolutionVirus shedding

Identifiers

PMID40691821
PMCPMC12281699

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.