Analysis of the intestinal microbiota in COVID-19 patients and its correlation with the inflammatory factor IL-18
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Tao W, Zhang G, Wang X, Guo M, Zeng W, Xu Z, Cao D, Pan A, Wang Y, Zhang K, Ma X, Chen Z, Jin T, Liu L, Weng J, Zhu S
Journal
Medicine in microecology
Year
2020
Keywords:
COVID19, Gut microbiota, IL18, SARS2
The ongoing global pandemic of COVID-19 disease, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), mainly infect lung epithelial cells, and spread mainly through respiratory droplets. However, recent studies showed potential intestinal infection of SARS-CoV-2, implicated the possibility that the intestinal infection of SARS-CoV-2 may correlate with the dysbiosis of gut microbiota, as well as the severity of COVID-19 symptoms. Here, we investigated the alteration of the gut microbiota in COVID-19 patients, as well as analyzed the correlation between the altered microbes and the levels of intestinal inflammatory cytokine IL-18, which was reported to be elevated in the serum of in COVID-19 patients. Comparing with healthy controls or seasonal flu patients, the gut microbiota showed significantly reduced diversity, with increased opportunistic pathogens in COVID-19 patients. Also, IL-18 level was higher in the fecal samples of COVID-19 patients than in those of either healthy controls or seasonal flu patients. Moreover, the IL-18 levels were even higher in the fecal supernatants obtained from COVID-19 patients that tested positive for SARS-CoV-2 RNA than those that tested negative in fecal samples. These results indicate that changes in gut microbiota composition might contribute to SARS-CoV-2-induced production of inflammatory cytokines in the intestine and potentially also to the onset of a cytokine storm.
Experiment 1
Reviewed Marked as Reviewed by Fatima on 2022/05/4
Curated date: 2021/07/07
Curator: Claregrieve1
Revision editor(s): Claregrieve1, WikiWorks, Peace Sandy
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- COVID-19 2019 novel coronavirus,2019 novel coronavirus infection,2019-nCoV,2019-nCoV infection,beta-CoV,beta-CoVs,betacoronavirus,coronavirus disease 2019,SARS-coronavirus 2,SARS-CoV-2,severe acute respiratory syndrome coronavirus 2,severe acute respiratory syndrome coronavirus 2 infectious disease,β-coronavirus,β-CoV,β-CoVs,COVID-19,cOVID-19
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Healthy controls
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- COVID-19 patients
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients with COVID-19
- Group 0 sample size Number of subjects in the control (unexposed) group
- 40
- Group 1 sample size Number of subjects in the case (exposed) group
- 62
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- LEfSe
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2
Alpha Diversity
- Chao1 Abundance-based estimator of species richness
- decreased
Signature 1
Reviewed Marked as Reviewed by Fatima on 2022/05/4
Curated date: 2021/07/07
Curator: Claregrieve1
Revision editor(s): Fatima, Claregrieve1, LGeistlinger
Source: Figure 1E
Description: Differential microbial abundance between healthy controls and COVID-19 patients (LDA>2)
Abundance in Group 1: increased abundance in COVID-19 patients
Revision editor(s): Fatima, Claregrieve1, LGeistlinger
Signature 2
Reviewed Marked as Reviewed by Fatima on 2022/05/4
Source: Figure 1E
Description: Differential microbial abundance between healthy controls and COVID-19 patients (LDA>2)
Abundance in Group 1: decreased abundance in COVID-19 patients
Revision editor(s): Fatima, Claregrieve1
Experiment 2
Reviewed Marked as Reviewed by Fatima on 2022/05/4
Differences from previous experiment shown
Subjects
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Seasonal flu patients
- Group 0 sample size Number of subjects in the control (unexposed) group
- 33
Lab analysis
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- Not specified
Alpha Diversity
- Chao1 Abundance-based estimator of species richness
- decreased
Signature 1
Reviewed Marked as Reviewed by Fatima on 2022/05/11
Source: Figure 1G
Description: Differential microbial abundance between seasonal flu patients and COVID-19 patients (LDA>2)
Abundance in Group 1: increased abundance in COVID-19 patients
| NCBI | Quality Control | Links |
|---|---|---|
| Escherichia | ||
| Bifidobacterium | ||
| Clostridium | ||
| Streptococcus | ||
| Parabacteroides | ||
| Veillonella | ||
| Sutterella | ||
| Fusobacterium |
Revision editor(s): Claregrieve1
Signature 2
Reviewed Marked as Reviewed by Fatima on 2022/05/11
Source: Figure 1G
Description: Differential microbial abundance between seasonal flu patients and COVID-19 patients (LDA>2)
Abundance in Group 1: decreased abundance in COVID-19 patients
Revision editor(s): Claregrieve1, Merit
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