Evidence map›Paper›PMID 36476670›Full record

ArticleScientific reports2022

Analysis of bronchoalveolar lavage fluid metatranscriptomes among patients with COVID-19 disease.

Michael Jochum, Michael D Lee, Kristen Curry, Victoria Zaksas, Elizabeth Vitalis, Todd Treangen, Kjersti Aagaard, Krista L Ternus

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 5 institutions in 1 country.

Michael JochumDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, 77030, USA.ORCID 0000-0002-2398-356X
Michael D LeeBlue Marble Space Institute of Science, Seattle, WA, 98104, USA.ORCID 0000-0001-7750-9145
Kristen CurryDepartment of Computer Science, Rice University, Houston, TX, 77005, USA.ORCID 0000-0001-8375-397X
Victoria ZaksasCenter for Translational Data Science, University of Chicago, Chicago, IL, 60615, USA.ORCID 0000-0001-7916-4902
Elizabeth VitalisInscripta, Inc, 5500 Central Ave STE 220, Boulder, CO, 80301, USA.ORCID 0000-0001-6036-1543
Todd TreangenDepartment of Computer Science, Rice University, Houston, TX, 77005, USA.ORCID 0000-0002-3760-564X
Kjersti AagaardDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, 77030, USA.ORCID 0000-0002-2960-0371
Krista L TernusSignature Science, LLC, 8329 North Mopac Expressway, Austin, TX, 78759, USA. kternus@signaturescience.com.ORCID 0000-0003-1138-5308
Baylor College of Medicine · USRice University · USBlue Marble Space · USSignature Research (United States) · USUniversity of Chicago · US

Funding

Project 3: Functional Microbiome and Host Signatures in Transition from Commensal to pathogenP01AI152999 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ARIAS, CESAR AUGUSTO, SAVIDGE, TOR C. · 2020 to 2025
$12.0M
Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Comprehensive Mechanisms in Reproductive SciencesT32HD098068 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI STEPHANIE A. PANGAS · 2020 to 2026
$2.4M
NHLBI NIH HHS T32 HL098069NIAID NIH HHS P01 AI152999
6 · The paper itself

Abstract

To better understand the potential relationship between COVID-19 disease and hologenome microbial community dynamics and functional profiles, we conducted a multivariate taxonomic and functional microbiome comparison of publicly available human bronchoalveolar lavage fluid (BALF) metatranscriptome samples amongst COVID-19 (n = 32), community acquired pneumonia (CAP) (n = 25), and uninfected samples (n = 29). We then performed a stratified analysis based on mortality amongst the COVID-19 cohort with known outcomes of deceased (n = 10) versus survived (n = 15). Our overarching hypothesis was that there are detectable and functionally significant relationships between BALF microbial metatranscriptomes and the severity of COVID-19 disease onset and progression. We observed 34 functionally discriminant gene ontology (GO) terms in COVID-19 disease compared to the CAP and uninfected cohorts, and 21 GO terms functionally discriminant to COVID-19 mortality (q < 0.05). GO terms enriched in the COVID-19 disease cohort included hydrolase activity, and significant GO terms under the parental terms of biological regulation, viral process, and interspecies interaction between organisms. Notable GO terms associated with COVID-19 mortality included nucleobase-containing compound biosynthetic process, organonitrogen compound catabolic process, pyrimidine-containing compound biosynthetic process, and DNA recombination, RNA binding, magnesium and zinc ion binding, oxidoreductase activity, and endopeptidase activity. A Dirichlet multinomial mixtures clustering analysis resulted in a best model fit using three distinct clusters that were significantly associated with COVID-19 disease and mortality. We additionally observed discriminant taxonomic differences associated with COVID-19 disease and mortality in the genus Sphingomonas, belonging to the Sphingomonadacae family, Variovorax, belonging to the Comamonadaceae family, and in the class Bacteroidia, belonging to the order Bacteroidales. To our knowledge, this is the first study to evaluate significant differences in taxonomic and functional signatures between BALF metatranscriptomes from COVID-19, CAP, and uninfected cohorts, as well as associating these taxa and microbial gene functions with COVID-19 mortality. Collectively, while this data does not speak to causality nor directionality of the association, it does demonstrate a significant relationship between the human microbiome and COVID-19. The results from this study have rendered testable hypotheses that warrant further investigation to better understand the causality and directionality of host-microbiome-pathogen interactions.

Indexed as

COVID-19Bronchoalveolar Lavage FluidGene OntologyHumans

Identifiers

PMID36476670
PMCPMC9729217
OpenAlexW4311584328

What OpenQuestion holds

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Registered trials

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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.