Longitudinal dynamics of the nasopharyngeal microbiome in response to SARS-CoV-2 Omicron variant and HIV infection in Kenyan women and their children
Bibliographic record
Abstract
ABSTRACT The nasopharynx and its microbiota are implicated in respiratory health and disease. The interplay between viral infection and the nasopharyngeal microbiome is an area of increased interest. The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of the coronavirus disease 2019 pandemic, on the nasopharyngeal microbiome among individuals living with HIV is not fully characterized. Here, we describe the nasopharyngeal microbiome before, during, and after SARS-CoV-2 infection in a longitudinal cohort of Kenyan women (21 living with HIV and 14 HIV-uninfected) and their children (18 HIV-exposed, uninfected and 7 HIV-unexposed, uninfected) between September 2021 and March 2022. We show using genomic epidemiology that mother and child dyads were infected with the same strain of the SARS-CoV-2 Omicron variant that spread rapidly across Kenya. We used metagenomic sequencing to characterize the nasopharyngeal microbiome of 20 women and children infected with SARS-CoV-2, six children negative for SARS-CoV-2 but experiencing respiratory symptoms, and 34 timepoint-matched SARS-CoV-2-negative mothers and children. Since individuals were sampled longitudinally before and after SARS-CoV-2 infection, we could characterize the short- (within a week of infection) and longer- (average of 38 days post-infection) term impact of SARS-CoV-2 infection on the nasopharyngeal microbiome. We found that mothers and children had significantly different microbiome composition and bacterial load ( P -values < 0.0001). In both mothers and children, the nasopharyngeal microbiome did not differ before and after SARS-CoV-2 infection, regardless of HIV exposure status. Our results indicate that the nasopharyngeal microbiome is resilient to SARS-CoV-2 infection and was not significantly modified by HIV. IMPORTANCE The nasopharyngeal microbiome plays an important role in human health. The degree of impact that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has on the nasopharyngeal microbiome varies among studies and may be influenced by diverse SARS-CoV-2 variants and variations in the microbiome between individuals. Our results show that the nasopharyngeal microbiome was not altered substantially by SARS-CoV-2 infection nor by HIV infection in mothers or HIV exposure in children. Our findings highlight the resilience of the nasopharyngeal microbiome after SARS-CoV-2 infection. These findings advance our understanding of the nasopharyngeal microbiome and its interactions with viral infections.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".