Evidence map›Paper›PMID 36159641›Full record

ArticleFrontiers in cellular and infection microbiology2022

Gut and oral microbiota associations with viral mitigation behaviors during the COVID-19 pandemic.

Kelvin Li, Barbara A Methé, Adam Fitch, Heather Gentry, Cathy Kessinger, Asha Patel, Vickie Petraglia, Pruthvi Swamy, Alison Morris

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

9 authors.

Kelvin LiCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Barbara A MethéCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Adam FitchCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Heather GentryCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Cathy KessingerCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Asha PatelCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Vickie PetragliaCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Pruthvi SwamyCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Alison MorrisCenter for Medicine and the Microbiome, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.

Funding

Systems Biology of Diffusion Impairment in HIVR01HL140963 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, CHAN, STEPHEN Y · 2018 to 2021
$3.7M
NHLBI NIH HHS R01 HL140963
6 · The paper itself

Abstract

Imposition of social and health behavior mitigations are important control measures in response to the coronavirus disease 2019 (COVID-19) pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Although postulated that these measures may impact the human microbiota including losses in diversity from heightened hygiene and social distancing measures, this hypothesis remains to be tested. Other impacts on the microbiota and host mental and physical health status associations from these measures are also not well-studied. Here we examine changes in stool and oral microbiota by analyzing 16S rRNA gene sequence taxonomic profiles from the same individuals during pre-pandemic (before March 2020) and early pandemic (May-November 2020) phases. During the early pandemic phase, individuals were also surveyed using questionnaires to report health histories, anxiety, depression, sleep and other lifestyle behaviors in a cohort of predominantly Caucasian adults (mean age = 61.5 years) with the majority reporting at least one underlying co-morbidity. We identified changes in microbiota (stool n = 288; oral n = 89) between pre-pandemic and early pandemic time points from the same subject and associated these differences with questionnaire responses using linear statistical models and hierarchical clustering of microbiota composition coupled to logistic regression. While a trend in loss of diversity was identified between pre-pandemic and early pandemic time points it was not statistically significant. Paired difference analyses between individuals identified fewer significant changes between pre-pandemic and early pandemic microbiota in those who reported fewer comorbidities. Cluster transition analyses of stool and saliva microbiota determined most individuals remained in the same cluster assignments from the pre-pandemic to early pandemic period. Individuals with microbiota that shifted in composition, causing them to depart a pre-pandemic cluster, reported more health issues and pandemic-associated worries. Collectively, our study identified that stool and saliva microbiota from the pre-pandemic to early pandemic periods largely exhibited ecological stability (especially stool microbiota) with most associations in loss of diversity or changes in composition related to more reported health issues and pandemic-associated worries. Longitudinal observational cohorts are necessary to monitor the microbiome in response to pandemics and changes in public health measures.

Indexed as

COVID-19MicrobiotaAdultHumansMiddle AgedPandemicsRNA, Ribosomal, 16SSARS-CoV-2RNA, Ribosomal, 16S16S rRNA gene amplicon sequencingCOVID-19ecological stabilitygut microbiotamicrobiomesaliva microbiota

Identifiers

PMID36159641
PMCPMC9500509

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.