Evidence map›Paper›PMID 34609165›Full record

ArticlemSystems2021

Viral Inactivation Impacts Microbiome Estimates in a Tissue-Specific Manner.

Alba Boix-Amorós, Enrica Piras, Kevin Bu, David Wallach, Matthew Stapylton, Ana Fernández-Sesma, Dolores Malaspina, Jose C Clemente

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Effectiveness of TRIzol in Inactivating Animal Pathogens.Applied biosafety : journal of the American Biological Safety Association · 2023
    Review
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 1 institution in 1 country.

Alba Boix-AmorósDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.ORCID 0000-0003-2776-6500
Enrica PirasDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
Kevin BuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
David WallachDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
Matthew StapyltonDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
Ana Fernández-SesmaDepartment of Microbiology, Icahn School of Medicine at Mount Sinaigrid.59734.3c. New York, New York, USA.
Dolores MalaspinaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
Jose C ClementeDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinaigrid.59734.3c, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

Hippocampal Inflammation as a Pathophysiology for PsychosisR01MH110418 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MALASPINA, DOLORES · 2017 to 2021
$3.8M
HHS | National Institutes of Health (NIH) 5R01MH110418NIMH NIH HHS R01 MH110418
6 · The paper itself

Abstract

The global emergence of novel pathogenic viruses presents an important challenge for research, as high biosafety levels are required to process samples. While inactivation of infectious agents facilitates the use of less stringent safety conditions, its effect on other biological entities of interest present in the sample is generally unknown. Here, we analyzed the effect of five inactivation methods (heat, ethanol, formaldehyde, psoralen, and TRIzol) on microbiome composition and diversity in samples collected from four different body sites (gut, nasal, oral, and skin) and compared them against untreated samples from the same tissues. We performed 16S rRNA gene sequencing and estimated abundance and diversity of bacterial taxa present in all samples. Nasal and skin samples were the most affected by inactivation, with ethanol and TRIzol inducing the largest changes in composition, and heat, formaldehyde, TRIzol, and psoralen inducing the largest changes in diversity. Oral and stool microbiomes were more robust to inactivation, with no significant changes in diversity and only moderate changes in composition.

Indexed as

16S RNADNA sequencinghuman microbiomeviral inactivation

Identifiers

PMID34609165
PMCPMC8547476
OpenAlexW3202245486

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.