| Literature DB >> 36033885 |
Jiaqi Gang1,2, Haiyu Wang3, Xiangsheng Xue2, Shu Zhang1.
Abstract
The coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to the World Health Organization statistics, more than 500 million individuals have been infected and more than 6 million deaths have resulted worldwide. Although COVID-19 mainly affects the respiratory system, considerable evidence shows that the digestive, cardiovascular, nervous, and reproductive systems can all be involved. Angiotensin-converting enzyme 2 (AEC2), the target of SARS-CoV-2 invasion of the host is mainly distributed in the respiratory and gastrointestinal tract. Studies found that microbiota contributes to the onset and progression of many diseases, including COVID-19. Here, we firstly conclude the characterization of respiratory, gut, and oral microbial dysbiosis, including bacteria, fungi, and viruses. Then we explore the potential mechanisms of microbial involvement in COVID-19. Microbial dysbiosis could influence COVID-19 by complex interactions with SARS-CoV-2 and host immunity. Moreover, microbiota may have an impact on COVID-19 through their metabolites or modulation of ACE2 expression. Subsequently, we generalize the potential of microbiota as diagnostic markers for COVID-19 patients and its possible association with post-acute COVID-19 syndrome (PACS) and relapse after recovery. Finally, we proposed directed microbiota-targeted treatments from the perspective of gut microecology such as probiotics and prebiotics, fecal transplantation and antibiotics, and other interventions such as traditional Chinese medicine, COVID-19 vaccines, and ACE2-based treatments.Entities:
Keywords: ACE2; COVID-19; SARS-CoV-2; diagnostic model; microbiota; microbiota transplantation; traditional Chinese medicine
Year: 2022 PMID: 36033885 PMCID: PMC9417543 DOI: 10.3389/fmicb.2022.963488
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 6.064
The characteristics of gut microbiota in COVID-19 patients.
| Sample size | Microbiota species | Geographic location | Gut microbiota characteristics in COVID-19 | Ref. |
| 15 COVID-19 patients, 6 community acquired pneumonia patients, 15 healthy controls | Bacterial | Hong Kong, China | Enrichment of opportunistic pathogenic bacteria and reduction of beneficial symbiotic bacteria, the baseline abundance of |
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| 100 COVID-19 patients, 79 non-COVID-19 controls | Bacterial | Hong Kong, China | Gut microbiota known to have immunomodulatory potential such as |
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| 9 COVID-19 children aged from 7 to 139 months, 14 age-matched healthy controls | Bacterial | Not provided | At phylum level |
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| 36 COVID-19 patients, 23 suspected patients, 72 healthy controls | Bacterial | Henan, China | At genus level |
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| 86 COVID-19 patients, 21 post COVID-19 patients, 11 pneumonia controls, 26asymptomatic controls | Bacterial | Germany |
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| 13 COVID-19 patients, 5 healthy controls | Bacterial | Beijing, China |
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| 115 COVID-19 patients, (mild, 19; moderate, 37; or severe 59) | Bacterial | Portuguese | The abundance of |
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| 117 patients infected with SARS-CoV-2, 95 SARS-CoV-2 negative patients | Bacterial | German (98% Caucasian ethnicity) | In SARS-CoV-2 positive patients, the abundance of |
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| 62 COVID-19 patients, 33 seasonal flu patients, 40 healthy controls | Bacterial | Hefei, China | Compared with healthy controls, members of the gen |
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| 30 COVID-19 patients, 9 community acquired pneumonia patients, 30 healthy controls | Fungal | Hong Kong, China | Enrichment of opportunistic fungal pathogens, |
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| 67 COVID-19 patients, 35 H1N1 infected patients, 48 healthy controls | Fungal | Zhejiang, China | Increased fungal load and enrichment of some opportunistic pathogenic fungi. Ascomycota (such as |
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| 30 COVID-19 patients (21 non-severe COVID-19, 9 developing severe/critical COVID-19), 23 healthy controls | Fungal | German (mainly Caucasian ethnicity) | Increased abundance of |
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| 13 COVID-19 patients, 5 healthy controls | Virome | Beijing, China | Enrichment of bacteriophages ( |
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| 98 COVID-19 patients, 78 non-COVID-19 controls matched for gender and co-morbidities | Virome | Hong Kong, China | Enrichment of environment-derived eukaryotic DNA viruses, underrepresentation of Pepper mild mottle virus (RNA virus) and multiple bacteriophage lineages (DNA viruses). 10 virus species including 1 RNA virus, 9 DNA virus and pepper chlorotic spot virus were inversely correlated with COVID-19 severity |
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| 15 COVID-19 patients, 6 community acquired pneumonia patients, 15 healthy controls | Virome | Hong Kong, China | Gut DNA virome diversity was decreased. The fecal DNA virome of COVID-19 patients was mainly composed of crAss-like phages, |
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FIGURE 1Schematic diagram of the relationships among SARS-CoV-2, ACE2, host immunity, and microorganisms. (1) Microbiota metabolites such as butyrate exert anti-inflammatory effects by up-regulating arginase 1 (Arg1) expression, down-regulating Nos2, IL6, and IL-12, and inhibiting tumor necrosis factor (TNF) activity. In addition, short-chain fatty acids inhibit histone deacetylases and increase the expression of foxp3 through the GPR43 receptor, thereby enhancing the regulatory function of FOXP3 + Treg cells resulting in anti-inflammatory effects. On the other aspect, short-chain fatty acids can inhibit TMPRSS2 gene expression and up-regulate antiviral pathways to inhibit viral entry. (2) The SARS-CoV-2 is activated by TMPRSS2, binds to ACE2 and enters the gut, can destroy the gut barrier and causes microbiota dysbiosis. (3) SARS-CoV-2 infection suppresses the JAK-STAT pathway of type I and type III interferon responses, and the protein encoded by ISGF3 that limits viral infection will be diminished. Besides, SARS-CoV-2 infection downregulates the expression of ACE2, weakens its ability to regulate the RAS system, and over activates the immune response. Dysregulated gut microbes and their metabolites can also stimulate the production of cytokines, causing a cytokine storm. (4) SARS-CoV-2 spike protein activates the Ras-Raf-MEK-ERK-VEGF pathway in intestinal epithelial cells and promotes vascular endothelial growth factor (VEGF) production, which leads to vascular permeability and inflammation. (5) ACE2 regulates the expression of the amino acid transporter B0AT1, which affects microbiota composition through mTOR-mediated antimicrobial peptide production.
Microbial markers as a diagnostic model for COVID-19.
| Study cohort | Characterized microbiota | Diagnostic efficacy | Ref. |
| Gut microbiota 30 COVID-19 patients, 24influenza A (H1N1) patients, 30 matched healthy controls (HC) |
| 89% (95% CI, 80%–97%) |
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| Gut microbiota Discovery cohort (37 confirmed patients, 10 healthy controls) | 93.3% (95% CI of 79.8–100.0%, |
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| Gut microbiota Discovery cohort (24 confirmed patients, 48 healthy controls) | OTU1741 ( | 99.31% (95% CI 97.66%-100%, |
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| Oropharyngeal microbiota Discovery cohort (48 confirmed patients, 94 healthy controls) | OTU10 ( | 99.3% (95% CI 98.21%-100%, |
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| Oral microbiota Discovery cohort of Henan (48 confirmed patients, 100 healthy controls) | OTU1642 ( | 95.75% (95% CI 90.99%-100%, |
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Several clinical studies of microecological intervention in COVID-19.
| Identifier | Recruiting status | Study subjects | Age | Country | Sample size | Supplement | Intervention | Primary outcome | Access link |
| NCT04390477 | Completed | Patients with a confirmed diagnosis of SARS-CoV-2 and require admission to the hospitalization | ≥18 years | Spain | 41 | Probiotic | 1 pill containing probiotic 1 × 10∧9 CFU or Placebo. 1 oral capsule per day for 30 days. | Percentage of patients with discharge to ICU |
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| NCT04458519 | Completed | COVID-19 patients not requiring hospitalization | 18−59 years | Canada | 23 | Probiotic | Nasal irrigations with Probiorinse 2.4 Billion CFU (Colony-Forming Units) of | Change in severity of COVID-19 infection |
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| NCT04507867 | Completed | Stage III positive COVID-19 patients with comorbidities (type 2 DM, SAH, overweight/obesity with BMI < 35) | 30−75 years | Mexico | 80 | Synbiotic | Combination of three B vitamins (B1, B6, and B12) “Neurobion” 10 mg solution for IM injection, One every 24 h for the first 5 days. Probiotics | Overall mortality at day 40 and overall survival |
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| NCT04517422 | Completed | Mild COVID-19 patients, cough, fever, dyspnoea, or headache, onset < = 7 days | 18−60 years | Mexico | 200 | Probiotic | Probiotics ( | Severity of COVID-19 progression; stay of patients at ICU and mortality ratio |
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| NCT04621071 | Completed | COVID-19 patients | ≥18 years | Canada | 17 | Probiotic | Dietary Supplement: Probiotics (2 strains 10 × 10∧9 UFC) or Placebo (potato starch and magnesium stearate). From Day 1 to Day 10 two capsules a day, Day 11 to Day 25 one capsule a day, maximum of 25 days, if they are admitted to the hospital treatment will stop | Duration of symptoms of the COVID-19 |
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| NCT04734886 | Completed | Previous diagnosis of COVID-19 (by positive PCR) or previous confirmation of seropositivity to SARS-CoV-2 | 18−60 years | Sweden | 161 | Probiotic | Dietary Supplement: | SARS-CoV-2 specific IgG/IgM antibodies in serum between the study arms |
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| NCT04824222 | Not yet recruiting | COVID-19 patients with expected survival time, not taking into account SARS-CoV-2 infection, is at least 6 months. Hospitalization due to COVID 19 disease or disease with accompanied COVID 19. | ≥18 years | Not provided | 366 | Fecal microbiota transplantation (FMT) | FMT be administered in double cover, gastro-resistant, enteric release capsules in 60 g dose or placebo | Incidence of adverse events after administration of IMP in the phase II/III, percentage of patients requiring escalation of oxygen therapy in non-invasive and invasive methods in phase III |
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| NCT04847349 | Completed | SARS-CoV-2 infection > 4 months prior confirmed | 18−60 years | United States | 54 | Probiotic | Probiotic consortium OL-1, standard dose or Probiotic consortium OL-1, high dose or Placebo (potato starch, maltodextrin). A capsule once per day with breakfast for 21 days | Change in titer of serum anti-SARS-CoV-2 immunoglobulin G (IgG) |
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| NCT04854941 | Completed | COVID-19 patients | 18−75 years | Russian Federation | 200 | Probiotic | Probiotics (10∧9 CFU of each strain: | The number of died patients during hospitalization |
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| NCT05043376 | Completed | Hospitalized confirmed (RT-PCR) COVID-19 patients not receiving mechanical ventilatory support | ≥18 years | Pakistan | 50 | Probiotic | Dietary Supplement: BLIS K12 ( | Recovery and live discharge, number of patients with clinical improvement |
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| NCT05175833 | Completed | patients hospitalized in the ICU with severe acute respiratory syndrome | ≥18 years | Brazil | 70 | Probiotic | Oral gel containing | The occurrence of symptoms and signs of secondary bacterial pneumonia |
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| IRCT20080826001096N8 | Recruiting | Pregnant women with mild/moderate COVID-19 | ≥16 years | Iran | 80 | Synbiotic | Lactofem capsule, contains 500 mg of 4 strains of probiotic lactobacilli including | Duration from the start of the study until the improvement of clinical symptoms. |
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| IRCT20200117046164N2 | Recruiting | Asthmatic children without positive history of COVID-19 | 6−18 years | Iran | 90 | Probiotic | Probiotic nasal spray contains | Abnormality in smell, Axillary temperature above 38 Celsius degree, Development of respiratory and gasterointestinal symptoms |
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| ChiCTR2000029999 | Prospective registration | COVID-19 patients | ≥18 years | China | 60 | Probiotic | Specific probiotic types not yet available | Several parameters associated to gut microbiome, fecal metabolomics, cytokines, biochemical, hematological, imageology, etc. |
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FIGURE 2Potential COVID-19 therapies associated with microbiota such as prebiotics and prebiotics, fecal microbiota transplantation, antibiotics, traditional Chinese medicine, SARS-CoV-2 vaccine, and treatment based on ACE2, etc.