Adult Outpatients with Long COVID Infected with SARS-CoV-2 Omicron Variant. Part 1: Oral Microbiota Alterations - 18/03/25
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Abstract |
Background |
Many individuals experience long COVID after SARS-CoV-2 infection. As microbiota can influence health, it may change with COVID-19. This study investigated differences in oral microbiota between COVID-19 patients with and without long COVID.
Methods |
Based on a prospective follow-up investigation, this nested case-control study evaluated the differences in oral microbiota in individuals with and without long COVID (Symptomatic and Asymptomatic groups), which were assessed by 16S rRNA sequencing on tongue coating samples. A predictive model was established using machine learning based on specific differential microbial communities.
Results |
One-hundred-and-eight patients were included (n=54 Symptomatic group). The Symptomatic group had higher Alpha diversity indices (observed_otus, Chao1, Shannon, and Simpson indices), differences in microbial composition (Beta diversity), and microbial dysbiosis with increased diversity and relative abundance of pathogenic bacteria. Marker bacteria (c__Campylobacterota, o__Coriobacteriales, o__Pseudomonadales, and o__Campylobacterales) were associated with long COVID by linear discriminant analysis effect size and receiver operating characteristic curves (AUC 0.821).
Conclusion |
There were distinct variations in oral microbiota between COVID-19 patients with and without long COVID. Changes in oral microbiota may indicate long COVID.
El texto completo de este artículo está disponible en PDF.Keywords : Coronavirus disease 2019 (COVID-19), SARS-CoV-2 Omicron variant, Long COVID, Oral microbiota, 16S, Sequence analysis, RNA
Esquema
| Funding: The study was supported the National Key Research and Development Program of China: (2021YFC0863200). National Administration of Traditional Chinese Medicine's Emergency Special Project on Traditional Chinese Medicine for COVID-19:(2022ZYLCYJ02-1). Hebei Provincial Key Research and Development Project:(20277709D). Scientific and Technological Research and Development Plan of Shijiazhuang city. (201460463A). Research Project of Traditional Chinese Medicine of Hebei Administration of Traditional Chinese Medicine (2024129). |
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| Conflict of Interest: All the authors declare that they have no conflict of interest. |
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| Authorship: Jianchao Xu, Di Wu and Yubin Zhao designed and performed the experiments, analyzed the data, and drafted the manuscript. Feng Sun participated in the design and direction of the study. Jie Yang, Xuzhao Liu, Yinuo Zhao and Yingying Chang participated in the follow-up examination of this study. Yao Tang provided technical support and statistical analysis of the manuscript. Yubing Zhao and Feng Sun revised the manuscript. All the authors approved the final version of the manuscript. Jianchao Xu and Di Wu contributed equally to this work. |
Vol 138 - N° 4
P. 732 - avril 2025 Regresar al número
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