Evidence map›Paper›PMID 36472670›Full record

ArticleWorld journal of microbiology & biotechnology2022

Microbiota and environmental health monitoring of mouse colonies by metagenomic shotgun sequencing.

Laura Lupini, Cristian Bassi, Paola Guerriero, Marcello Raspa, Ferdinando Scavizzi, Silvia Sabbioni

Open access · hybridAbstract read
In one paragraph

Article in World journal of microbiology & biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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  7. 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

6 authors at 2 institutions in 1 country.

Laura LupiniDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Cristian BassiDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Paola GuerrieroDepartment of Translational Medicine, University of Ferrara, 44121, Ferrara, Italy.
Marcello RaspaNational Research Council (IBBC), CNR-Campus International Development, (EMMA- INFRAFRONTIER- IMPC), Monterotondo Scalo, Italy.
Ferdinando ScavizziNational Research Council (IBBC), CNR-Campus International Development, (EMMA- INFRAFRONTIER- IMPC), Monterotondo Scalo, Italy. ferdinando.scavizzi@cnr.it.
Silvia SabbioniLaboratorio per le tecnologie delle terapie avanzate (LTTA), University of Ferrara, 44121, Ferrara, Italy. sbs@unife.it.
University of Ferrara · ITNational Research Council · IT

Funding

Università degli Studi di Ferrara FAR-Sabbioni Silvia
6 · The paper itself

Abstract

Metagenomic next-generation sequencing (mNGS) allows the monitoring of microbiota composition of murine colonies employed for scientific purposes in a single test by assessing the composition of gut microbiome and the detection of pathogens from fecal pellets. In this study, we tested the potential use of mNGS for monitoring both microbiota composition and the presence of pathogens through Environmental Health Monitoring, by using exhaust dust collection filters derived from individually ventilated cages (IVC) systems.mNGS analysis was performed on nucleic acids isolated from filters collecting air from the exhaust of: (1) cages with mice housed in a non-pathogen free facility; (2) animal-free cages with clean chow and bedding from the same facility; (3) cages housing mice from a specific-pathogen free (SPF) facility. mNGS results revealed correspondence between microbiome composition from fecal pellets and filter, including pathogenic bacteria (Helicobacter hepaticus, Helicobacter typhlonius, Chlamydia muridarum, Rodentibacter pneumotropicus, Citrobacter rodentium), intestinal protozoa (Tritrichomonas muris, Spironucleus muris) nematoda (Aspiculuris tetraptera) and eukaryotic parasites (Myocoptes musculinus), present in the colony. Entamoeba muris and Syphacia obvelata were detected in fecal pellets but not in filter. The animal free exhaust dust filter, exposed to clean cages (no mice) placed in the IVC after removal of all mice, exhibited the presence of the same pathogens due to contaminated connecting pipes, confirming the sensitivity of the approach. Conversely, the filter from SPF colony revealed the absence of pathogens.The current use of exhaust dust collection filters in health surveillance requires multiple molecular tests to identify specific pathogens and does not provide information on the colony microbiome. This work provides the proof-of-principle that assaying exhaust dust collection filters by mNGS for microbiota monitoring of laboratory mice is feasible. In its daily application, results suggest the usefulness of the test in SPF facilities, where pathogenic micro-organisms are expected to be absent. mNGS analysis of exhaust dust collection filters allows the analysis of multiple cages, reducing the number of tests required for pathogen detection and corresponding costs, and avoiding the use of sentinel mice.

Indexed as

Environmental HealthMetagenomicsAnimalsMiceED filterEnvironmental health monitoringExhaust Air dust (EAD) collection filtersExhaust dust collection filtersGut microbiotaHealth surveillanceLaboratory miceMetagenomicsMicrobiomaMouse coloniesNGS shotgun sequencing

Identifiers

PMID36472670
PMCPMC9726812
OpenAlexW4311575462

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.