2021
DOI: 10.1136/gutjnl-2020-323826
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Alterations in the human oral and gut microbiomes and lipidomics in COVID-19

Abstract: ObjectiveTo characterise the oral microbiome, gut microbiome and serum lipid profiles in patients with active COVID-19 and recovered patients; evaluate the potential of the microbiome as a non-invasive biomarker for COVID-19; and explore correlations between the microbiome and lipid profile.DesignWe collected and sequenced 392 tongue-coating samples, 172 faecal samples and 155 serum samples from Central China and East China. We characterised microbiome and lipid molecules, constructed microbial classifiers in … Show more

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Cited by 204 publications
(280 citation statements)
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“…COVD-negative cases in our study also have ground glass opacity in the lung that may be viral pneumonia caused by other kinds of viruses. Several 16S rRNA gene sequencing studies had showed the alterations in the human oral and upper respiratory microbiomes in COVID-19 [ 25 , 26 ]. Recently, a Chinese team from Wuhan institute of virology published a metagenomic sequencing study that reveals the potential linkages between pharyngeal microbiota and COVID-19 [ 15 ].…”
Section: Discussionmentioning
confidence: 99%
“…COVD-negative cases in our study also have ground glass opacity in the lung that may be viral pneumonia caused by other kinds of viruses. Several 16S rRNA gene sequencing studies had showed the alterations in the human oral and upper respiratory microbiomes in COVID-19 [ 25 , 26 ]. Recently, a Chinese team from Wuhan institute of virology published a metagenomic sequencing study that reveals the potential linkages between pharyngeal microbiota and COVID-19 [ 15 ].…”
Section: Discussionmentioning
confidence: 99%
“…This results in local inflammation, disruption in resident microbiota and gut barrier dysfunction, thus decreasing secretion of antimicrobial peptides and facilitating bacterial metabolomes and byproducts to enter the circulation leading to systemic inflammation [ 122 , 123 , 124 ]. Several studies have shown that patients with COVID-19 have an altered microbiome characterized by an overall decline in microbial diversity, enrichment of opportunistic pathogens Clostridium hathewayi, Actinomyces viscosus, Bacteroides nordii, Streptococcus, Rothia, Erysipelatoclostridium and Veillonella along with significant depletion of beneficial commensals such as Lachnospiraceae bacterium , Eubacterium rectale , Ruminococcus obeum , Fusicatenibacter , Eubacterium hallii , Anaerostipes , Agathobacter , Roseburia , Dorea formicigenerans , Clostridium butyricum , Clostridium leptum and Faecalibacterium prausnitzii [ 125 , 126 ]. Some of these beneficial bacteria which includes butyric acid producing bacteria have been linked to reduced inflammation.…”
Section: Clinical Implication Of Microbiota/taste Interactionsmentioning
confidence: 99%
“…In fact, abundance of certain gut bacteria such as Coprobacillus , Clostridium ramosum and Clostridium hathewayi , correlated with COVID-19 severity. Taste sensitivity is reduced in inflammatory conditions [ 126 ]; however, the contribution of systemic inflammation to taste changes in the oral cavity is not known. It is interesting to note that, Type II cells “taste” amino acids and ACE2 in the gut is involved in amino acid absorption [ 130 ].…”
Section: Clinical Implication Of Microbiota/taste Interactionsmentioning
confidence: 99%
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“…The potential for diagnostic markers that can better stratify patient response to infection is highlighted in reports that indicated higher levels of diglycerides (DAGs), free fatty acids (FFAs), and triglycerides (TAGs) in fatal cases of COVID-19, and that abundance was correlated with deterioration of the disease [ 25 ]. However, the requirement for the validation of lipid biomarkers in multiple independent cohorts is highlighted by conflicted reports on phospholipid changes, with increases in phosphocholines (PCs) and phosphoethanolamines (PEs) reported [ 12 , 26 ], as well as significant downregulation [ 23 ]. Furthermore, Song et al identified decreases in longer chain TAGs and DAGs [ 27 ], in contrast to the previously discussed studies.…”
Section: Introductionmentioning
confidence: 99%