Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID
In the COVID-19 pandemic, caused by SARS-CoV-2, many individuals experience prolonged symptoms, termed long-lasting COVID-19 symptoms (long COVID). Long COVID is thought to be linked to immune dysregulation due to harmful inflammation, with the exact causes being unknown. Given the role of the micro...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Society for Clinical investigation
2021-10-01
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| Series: | JCI Insight |
| Subjects: | |
| Online Access: | https://doi.org/10.1172/jci.insight.152346 |
| _version_ | 1811329130051928064 |
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| author | John P. Haran Evan Bradley Abigail L. Zeamer Lindsey Cincotta Marie-Claire Salive Protiva Dutta Shafik Mutaawe Otuwe Anya Mario Meza-Segura Ann M. Moormann Doyle V. Ward Beth A. McCormick Vanni Bucci |
| author_facet | John P. Haran Evan Bradley Abigail L. Zeamer Lindsey Cincotta Marie-Claire Salive Protiva Dutta Shafik Mutaawe Otuwe Anya Mario Meza-Segura Ann M. Moormann Doyle V. Ward Beth A. McCormick Vanni Bucci |
| author_sort | John P. Haran |
| collection | DOAJ |
| description | In the COVID-19 pandemic, caused by SARS-CoV-2, many individuals experience prolonged symptoms, termed long-lasting COVID-19 symptoms (long COVID). Long COVID is thought to be linked to immune dysregulation due to harmful inflammation, with the exact causes being unknown. Given the role of the microbiome in mediating inflammation, we aimed to examine the relationship between the oral microbiome and the duration of long COVID symptoms. Tongue swabs were collected from patients presenting with COVID-19 symptoms. Confirmed infections were followed until resolution of all symptoms. Bacterial composition was determined by metagenomic sequencing. We used random forest modeling to identify microbiota and clinical covariates that are associated with long COVID symptoms. Of the patients followed, 63% developed ongoing symptomatic COVID-19 and 37% went on to long COVID. Patients with prolonged symptoms had significantly higher abundances of microbiota that induced inflammation, such as members of the genera Prevotella and Veillonella, which, of note, are species that produce LPS. The oral microbiome of patients with long COVID was similar to that of patients with chronic fatigue syndrome. Altogether, our findings suggest an association with the oral microbiome and long COVID, revealing the possibility that dysfunction of the oral microbiome may have contributed to this draining disease. |
| first_indexed | 2024-04-13T15:38:22Z |
| format | Article |
| id | doaj.art-193c7559a3794fd88d29155faf3cb51b |
| institution | Directory Open Access Journal |
| issn | 2379-3708 |
| language | English |
| last_indexed | 2024-04-13T15:38:22Z |
| publishDate | 2021-10-01 |
| publisher | American Society for Clinical investigation |
| record_format | Article |
| series | JCI Insight |
| spelling | doaj.art-193c7559a3794fd88d29155faf3cb51b2022-12-22T02:41:12ZengAmerican Society for Clinical investigationJCI Insight2379-37082021-10-01620Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVIDJohn P. HaranEvan BradleyAbigail L. ZeamerLindsey CincottaMarie-Claire SaliveProtiva DuttaShafik MutaaweOtuwe AnyaMario Meza-SeguraAnn M. MoormannDoyle V. WardBeth A. McCormickVanni BucciIn the COVID-19 pandemic, caused by SARS-CoV-2, many individuals experience prolonged symptoms, termed long-lasting COVID-19 symptoms (long COVID). Long COVID is thought to be linked to immune dysregulation due to harmful inflammation, with the exact causes being unknown. Given the role of the microbiome in mediating inflammation, we aimed to examine the relationship between the oral microbiome and the duration of long COVID symptoms. Tongue swabs were collected from patients presenting with COVID-19 symptoms. Confirmed infections were followed until resolution of all symptoms. Bacterial composition was determined by metagenomic sequencing. We used random forest modeling to identify microbiota and clinical covariates that are associated with long COVID symptoms. Of the patients followed, 63% developed ongoing symptomatic COVID-19 and 37% went on to long COVID. Patients with prolonged symptoms had significantly higher abundances of microbiota that induced inflammation, such as members of the genera Prevotella and Veillonella, which, of note, are species that produce LPS. The oral microbiome of patients with long COVID was similar to that of patients with chronic fatigue syndrome. Altogether, our findings suggest an association with the oral microbiome and long COVID, revealing the possibility that dysfunction of the oral microbiome may have contributed to this draining disease.https://doi.org/10.1172/jci.insight.152346COVID-19Inflammation |
| spellingShingle | John P. Haran Evan Bradley Abigail L. Zeamer Lindsey Cincotta Marie-Claire Salive Protiva Dutta Shafik Mutaawe Otuwe Anya Mario Meza-Segura Ann M. Moormann Doyle V. Ward Beth A. McCormick Vanni Bucci Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID JCI Insight COVID-19 Inflammation |
| title | Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID |
| title_full | Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID |
| title_fullStr | Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID |
| title_full_unstemmed | Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID |
| title_short | Inflammation-type dysbiosis of the oral microbiome associates with the duration of COVID-19 symptoms and long COVID |
| title_sort | inflammation type dysbiosis of the oral microbiome associates with the duration of covid 19 symptoms and long covid |
| topic | COVID-19 Inflammation |
| url | https://doi.org/10.1172/jci.insight.152346 |
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