Gu et al. (2020) |
30 COVID-19 patients, China |
(1) 24 H1N1 flu patients |
Fecal samples |
Samples were collected at admission. |
V3-4 16S rRNA gene sequencing |
Patients with COVID-19 or influenza had reduced bacterial diversity compared with controls. Stool samples of COVID-19 patients had an abundance of opportunistic pathogens, such as Streptococcus, Rothia, Veillonella, and Actinomyces. In contrast, Ruminococcaceae family and several genera from the family Lachnospiraceae were reduced in COVID-19 patients. |
No outcome data |
Richness, diversity, and structure of the gut microbiota were not significantly different between general COVID-19 and severe COVID-19. |
13 were women |
(2) 30 healthy controls (matched for age, sex, body mass index) |
The median age was 55 (Range 29–70) years |
10 patients had comorbidities, including hypertension (30%) |
Zuo et al. (2020a) |
15 COVID-19 patients, China |
15 healthy controls |
Stool samples |
2–3 times per week during hospitalization |
Whole-genome sequencing |
COVID-19 patients who were antibiotic naïve had increased opportunistic pathogens compared to controls. |
Among 15 COVID-19 patients, 7 were antibiotic-naive, 8 received empiric antibiotics. |
Clostridium ramosum and C. hathewayi were positively associated with severe COVID-19. In contrast, Alistipes onderdonkii and Faecalibacterium prausnitzii were negatively correlated with severe COVID-19. |
7 were males, |
6 community-acquired pneumonia |
The median age was 55 (22–71) years |
11 patients had moderate-severe COVID-19 |
Comorbidities: Hypertension (4), Hyperlipidemia (4), Diabetes (2), etc. |
Zuo et al. (2020b) |
30 COVID-19 patients, China |
30 healthy controls |
Stool samples (Fungal microbiome) |
2–3 times per week during hospitalization |
Whole-genome sequencing |
The mycobiome in most patients (22 of 30 COVID-19 patients) was similar to that in healthy controls. In contrast, gut microbiome in COVID-19 patients (8 of 30) had alterations, with enrichment of Candida albicans and heterogeneous composition. |
No treatment data |
COVID-19 patients had increased proportions of opportunistic pathogens (Candida albicans, C. auris, Aspergillus flavus) during hospitalization. |
16 were males, |
9 community-acquired pneumonia |
The median age was 46 (15–71) years |
11 patients had comorbidities |
Zuo et al. (2020c) |
Same population as Zuo et al. (2020a) |
None |
Stool samples |
2–3 times per week during hospitalization |
Whole-genome sequencing |
Stool with high SARS-CoV2 infectivity had a higher abundance of bacterial species, including Collinsella aerofaciens, Collinsella tanakaei, Streptococcus infantis, and Morganella morganii. |
Same treatment as Zuo et al. (2020a) |
Stool with low to no SARS-CoV-2 infectivity had higher abundances of Parabacteroides merdae, Bacteroides stercoris, Alistipes onderdonkii, and Lachnospiraceae bacterium. |
Zhang et al. (2020) |
24 COVID-19 (nasopharyngeal swab) patients |
Pneumonia cases |
Nasopharyngeal swab, sputum samples |
Samples were collected during inclusion in the cohort. |
Whole-genome sequencing |
COVID-19 patients had reduced alpha diversity in the airway microbiome. Opportunistic pathogens, including Candida albicans and human alphaherpesvirus 1, were frequently detected. |
No treatment data |
None |
36 non-COVID-19 (nasopharyngeal swab) |
14 COVID-19 (sputum) patients, China |
39 non-COVID-19 (sputum) |
37% were females |
The median age was 40.5 (25–82) years |
De Maio et al. (2020) |
18 COVID-19 patients, Italy |
22 healthy controls |
Nasopharyngeal swab samples |
Samples were collected because of suspected COVID-19. |
Sequencing of V5-V6 hypervariable region of bacterial 16S rRNA |
The microbiota of the nasopharynx was not different in COVID-19 patients compared with that in controls. |
No treatment data |
None |
All patients had non-critical COVID-19 |
Shen et al. (2020) |
8 COVID-19 pneumonia patients, China |
25 community-acquired pneumonia |
Bronchoalveolar lavage fluid samples |
Samples were collected at bronchoscopic examination in clinical management. |
Whole-genome sequencing |
The BALF microbiota in COVID-19 patients was similar to that in patients with community-acquired pneumonia. The microbiome had an abundance of oral and upper respiratory commensal bacteria. |
No treatment data |
None |
20 healthy controls |
Chen et al. (2020) |
2 patients with COVID-19, China |
None |
Bronchoalveolar lavage fluid samples |
Samples were collected at bronchoscopic examination for a diagnostic test. |
Microbial next-generation sequencing analysis |
Authors found Capnocytophaga species and Veillonella species in BALF samples. |
Antiviral and anti-infectious treatment |
None |
A 39-year-old male and a 21-year-old female |
Ren et al. (2020) |
5 patients with COVID-19, China |
None |
Bronchoalveolar lavage fluid samples |
Samples were collected at bronchoscopic examination during hospitalization. |
Microbial next-generation sequencing analysis |
Most genome reads were viral (betacoronavirus), with bacterial pathogens such as Acinetobacter, Pseudomonas, Chryseobacterium, Escherichia, Streptococcus, Enterococcus, Rothia, and Lactobacillus. |
5 patients received antibiotic therapy. Outcomes are recovered (1), hospitalized (3), and died (1). |
None |
The median age was 52 (41–65) years |
2 patients were female |
All had moderate to severe COVID-19 |
Comorbidities: hypertension, chronic liver disease |
Fan et al. (2020) |
20 deceased COVID-19 patients, China |
None |
Lung tissue samples |
Samples were collected from deceased patients. |
Sequencing of V3-V4 regions of bacterial 16S rRNA, ITS gene |
Acinetobacter was the most common bacterial genus, followed by Chryseobacterium, Burkholderia, Brevundimonas, Sphingobium, and Enterobacterales. Cryptococcus was the most prevalent fungus, along with Issatchenkia, Wallemia, Cladosporium, and Alternaria. |
All patients received antibacterial and antiviral therapy. |
None |
14 were males |
The median age was 66 years |
Comorbidities: cardiovascular disease (10), hypertension (9), malignancy (7), diabetes (2), chronic kidney disease (2), chronic lung diseases (1) |
Tao et al. (2020) |
62 patients with COVID-19, China |
33 seasonal influenza patients |
Fecal samples |
Samples were collected at first time of visit to the hospital. |
Next-generation sequencing of V4 region of the 16S rRNA |
COVID-19 patients had an abundance of Streptococcus, Clostridium, Lactobacillus, and Bifidobacterium in gut microbiota. In contrast, lower levels of Bacteroides, Roseburia, Faecalibacterium, Coprococcus, Parabacteroides were found. |
No data |
Alpha-diversity of gut microbiome decreased in COVID-19 compared with that in healthy control, flu patients. |
40 healthy controls |
Yu et al. (unpublished) |
2 male patients with COVID-19, China |
22 healthy cohort (Data imported from Arumugam M, Raes J, Pelletier E, et al. Enterotypes of the human gut microbiome. Nature. 2011;473(7346):174–80.) |
Anal swab samples |
No data |
No data |
The proportion of gut microbiota, including Corynebacterium and Ruthenibacterium, was increased. |
Both patients received antiviral and antibacterial agents. and both patients died. |
None |
2 patients with COVID-19, China |
65 years old male and 78 years old male |
Comorbidities: prostatic hyperplasia, chronic bronchitis |
Ai et al. (unpublished) |
20 patients with COVID-19, China |
33 pneumonia without COVID-19 |
Nasopharyngeal swab samples |
Admission day |
Multiplex RT-PCR assays |
More than half of patients had co-infection with COVID-19 and another virus, such as influenza A/B, rhino- or enteroviruses, or respiratory syncytial virus. |
No data |
None |
10 were female |
next-generation sequencing |
The median age was 37 years |
Budding et al. (unpublished) |
46 patients with COVID-19, Netherlands |
89 SARS-CoV2 (-) patients |
Throat swab samples |
Samples were collected for routine diagnostic tests. |
16S rDNA sequencing |
Haemophilus parainfluenzae, Neisseria cinerea, |
No data |
None |
S. mitis, S. bovis, Leptotrichia buccalis, and Rothia mucilaginosa were the main composition of throat microbiome. |
Xu et al. (a) (abstract only) |
No data, China |
No data |
Intestinal microbiome |
No data |
No data |
COVID-19 patients had intestinal dysbiosis with decreased Lactobacillus and Bifidobacterium. |
No data |
None |
Xu et al. (b) (abstract only) |
No data, China |
No data |
Gut microbiome |
No data |
No data |
Decreased proportions of Lactobacillus and Bifidobacterium were observed in COVID-19 patients. |
No data |
None |