Evidence map›Paper›PMID 31925681›Full record

ArticleEnvironmental science and pollution research international2020

Cross-sectional study to identify risk factors associated with the occurrence of antimicrobial resistance genes in honey bees Apis mellifera) in Umbria, Central Italy.

Beniamino T Cenci-Goga, Paola Sechi, Musafiri Karama, Rosa Ciavarella, Maria Vittoria Pipistrelli, Enzo Goretti, Antonia Concetta Elia, Tiziano Gardi, Matteo Pallottini, Riccardo Rossi and 2 more

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 10% 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, 22 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Beniamino T Cenci-GogaMedicina Veterinaria, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Perugia, 06126, Perugia, Italy. beniamino.cencigoga@unipg.it.ORCID http://orcid.org/0000-0002-3993-6258
Paola SechiMedicina Veterinaria, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Perugia, 06126, Perugia, Italy.
Musafiri KaramaFaculty of Veterinary Science, Department of Paraclinical Sciences, University of Pretoria, Onderstepoort, 0110, South Africa.
Rosa CiavarellaMedicina Veterinaria, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Perugia, 06126, Perugia, Italy.
Maria Vittoria PipistrelliMedicina Veterinaria, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Perugia, 06126, Perugia, Italy.
Enzo GorettiDipartimento di chimica, biologia e biotecnologie, Università degli Studi di Perugia, 06126, Perugia, Italy.
Antonia Concetta EliaDipartimento di chimica, biologia e biotecnologie, Università degli Studi di Perugia, 06126, Perugia, Italy.
Tiziano GardiDipartimento di scienze agrarie, alimentari ed ambientali, Università degli Studi di Perugia, 06126, Perugia, Italy.
Matteo PallottiniDipartimento di chimica, biologia e biotecnologie, Università degli Studi di Perugia, 06126, Perugia, Italy.
Riccardo RossiDipartimento di chimica, biologia e biotecnologie, Università degli Studi di Perugia, 06126, Perugia, Italy.
Roberta SelvaggiDipartimento di chimica, biologia e biotecnologie, Università degli Studi di Perugia, 06126, Perugia, Italy.
Luca GrispoldiMedicina Veterinaria, Laboratorio di Ispezione degli Alimenti di Origine Animale, Università degli Studi di Perugia, 06126, Perugia, Italy.
University of Perugia · ITOnderstepoort Veterinary Academic Hospital · ZA

Funding

Fondazione Cassa di Risparmio di Perugia 2016.0033.021
6 · The paper itself

Abstract

The use antimicrobials for therapeutic and metaphylactic purpose in humans and agriculture exerts selective pressure on animal and environmental microbiota resulting in the survival and spread of antimicrobial resistance genes among bacteria and subsequent development of resistance in bacteria. Previous studies have shown that honey bees' microbiota (Apis mellifera) can accumulate antimicrobial resistance genes in their microbiome and act as collectors and disseminators of resistance genes. The aim of this study was to investigate to what extent honey bees act as reservoir of select antimicrobial resistance genes. This study was conducted on 35 groups of bees. Bees were collected from 35 sites in Umbria, Italy. PCR was used to screen pooled ground bees' specimens for genes that code for resistance against antimicrobials that are commonly used in humans and in veterinary medicine including aminoglycosides (aph), beta-lactams (blaZ), tetracycline (tetM) and sulphonamides (sul1 and sul2). Twenty-four samples out of 35 (68.57%) were positive for at least one antimicrobial resistance gene. Two samples were positive for the aph, 5.71%; eight for blaZ, 22.86%; three for tetM, 8.57%; ten for sul1, 28.57% and eighteen for sul2, 51.43%. Positivity to more than one antimicrobial resistance gene was observed in nine samples, 25.71%. The multivariate analysis identified "presence of farms nearby" as the factor most closely related to PCR positivity. Honey bees (Apis mellifera) from Umbria, Italy, carry antimicrobial resistance genes and can be used as indicators of the presence of resistance genes in the environment.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialAnimalsBeesCross-Sectional StudiesItalyRisk FactorsAnti-Bacterial AgentsAntimicrobial resistanceBiological indicatorHoney bees

Identifiers

PMID31925681
OpenAlexW3000210885

What OpenQuestion holds

Textmetadata
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.