Analysis of the intestinal microbiota in COVID-19 patients and its correlation with the inflammatory factor IL-18

From BugSigDB
Reviewed Marked as Reviewed by Fatima on 2022/05/4
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

NCBI Quality ControlLinks
Actinomyces
Allobaculum
Anaerococcus
Atopobium
Bifidobacterium
Bulleidia
Clostridium
Corynebacterium
Eggerthella
Enterococcus
Escherichia
Helicobacter
Lactobacillus
Moryella
Oribacterium
Proteus
Rothia
Scardovia
Shuttleworthella
Streptococcus
Veillonella

Revision editor(s): Fatima, Claregrieve1, LGeistlinger

Signature 2

Reviewed Marked as Reviewed by Fatima on 2022/05/4

Curated date: 2021/07/07

Curator: Claregrieve1

Revision editor(s): Fatima, Claregrieve1

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

NCBI Quality ControlLinks
Alistipes
Anaerostipes
Burkholderia
Butyricimonas
Clostridium
Comamonas
Coprococcus
Cupriavidus
Dorea
Faecalibacterium
Holdemania
Lachnospira
Neisseria
Odoribacter
Oscillospira
Parabacteroides
Prevotella
Ralstonia
Roseburia
Ruminococcus
Sutterella
Victivallis
Yersinia

Revision editor(s): Fatima, Claregrieve1

Experiment 2


Reviewed Marked as Reviewed by Fatima on 2022/05/4

Curated date: 2021/07/07

Curator: Claregrieve1

Revision editor(s): Claregrieve1, WikiWorks, Victoria

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

Alpha Diversity

Chao1 Abundance-based estimator of species richness
decreased

Signature 1

Reviewed Marked as Reviewed by Fatima on 2022/05/11

Curated date: 2021/07/07

Curator: Claregrieve1

Revision editor(s): Claregrieve1

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 ControlLinks
Escherichia
Bifidobacterium
Clostridium
Streptococcus
Parabacteroides
Veillonella
Sutterella
Fusobacterium

Revision editor(s): Claregrieve1

Signature 2

Reviewed Marked as Reviewed by Fatima on 2022/05/11

Curated date: 2021/07/07

Curator: Claregrieve1

Revision editor(s): Claregrieve1, Merit

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

NCBI Quality ControlLinks
Actinomyces
Aggregatibacter
Blautia
Bulleidia
Burkholderia
Clostridium
Cupriavidus
Dorea
Eubacterium
Haemophilus
Helicobacter
Leuconostoc
Moryella
Oribacterium
Oscillospira
Phascolarctobacterium
Pyramidobacter
Ralstonia
Shuttleworthella
Stenotrophomonas
Clostridia
Clostridiaceae

Revision editor(s): Claregrieve1, Merit