Evidence map›Paper›PMID 36068270›Full record

ArticleNature communications2022

Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomes.

Shanlin Ke, Scott T Weiss, Yang-Yu Liu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Nanopore Sequencing for Chikungunya Virus: Principles and Application.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Review
  3. Article
  4. Article
  5. Unveiling the role of the respiratory microbiome in long COVID pathogenesis and therapeutics.Chinese medical journal pulmonary and critical care medicine · 2025
    Article
  6. Microbiome and Long COVID-19: Current Evidence and Insights.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Rational Design of Live Biotherapeutic Products for the Prevention ofbioRxiv : the preprint server for biology · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Shanlin KeChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4101-0574
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
Yang-Yu LiuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. yyl@channing.harvard.edu.ORCID 0000-0003-2728-4907
Brigham and Women's Hospital · US

Funding

Therapeutic Control of Aspirin-Exacerbated Respiratory DiseaseU19AI095219 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI Joshua A Boyce · 2011 to 2026
$29.1M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Multi-omic approaches to mechanisms of vitamin D, environmental influences, and the microbiome on asthmaUH3OD023268 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI LITONJUA, AUGUSTO A, WEISS, SCOTT T · 2018 to 2022
$13.5M
Prospective Study of the Gut Microbiome in AgingRF1AG067744 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2020 to 2020
$11.7M
Functional Redundancy of Human Microbiome and its Implication in Fecal Microbiota TransplantationR01AI141529 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI LIU, YANG-YU · 2019 to 2023
$4.5M
Long-term health consequences of birth by cesarean sectionR01HD093761 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO · 2018 to 2022
$3.3M
NHLBI NIH HHS U01 HL089856NIAID NIH HHS R01 AI141529NIAID NIH HHS U19 AI095219NIA NIH HHS RF1 AG067744NICHD NIH HHS R01 HD093761NIH HHS UH3 OD023268
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), primarily a respiratory disease caused by infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is often accompanied by gastrointestinal symptoms. However, little is known about the relation between the human microbiome and COVID-19, largely due to the fact that most previous studies fail to provide high taxonomic resolution to identify microbes that likely interact with SARS-CoV-2 infection. Here we used whole-metagenome shotgun sequencing data together with assembly and binning strategies to reconstruct metagenome-assembled genomes (MAGs) from 514 COVID-19 related nasopharyngeal and fecal samples in six independent cohorts. We reconstructed a total of 11,584 medium-and high-quality microbial MAGs and obtained 5403 non-redundant MAGs (nrMAGs) with strain-level resolution. We found that there is a significant reduction of strain richness for many species in the gut microbiome of COVID-19 patients. The gut microbiome signatures can accurately distinguish COVID-19 cases from healthy controls and predict the progression of COVID-19. Moreover, we identified a set of nrMAGs with a putative causal role in the clinical manifestations of COVID-19 and revealed their functional pathways that potentially interact with SARS-CoV-2 infection. Finally, we demonstrated that the main findings of our study can be largely validated in three independent cohorts. The presented results highlight the importance of incorporating the human gut microbiome in our understanding of SARS-CoV-2 infection and disease progression.

Indexed as

COVID-19Gastrointestinal MicrobiomeMicrobiotaHumansMetagenomeSARS-CoV-2

Identifiers

PMID36068270
PMCPMC9446638
OpenAlexW4294808300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.