Evidence map›Paper›PMID 35864456›Full record

ArticleBMC microbiology2022

Antimicrobial resistance and genomic analysis of staphylococci isolated from livestock and farm attendants in Northern Ghana.

Beverly Egyir, Esther Dsani, Christian Owusu-Nyantakyi, Grebstad Rabbi Amuasi, Felicia Amoa Owusu, Emmanuel Allegye-Cudjoe, Kennedy Kwasi Addo

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  15. Local Epidemiology of NosocomialAntibiotics (Basel, Switzerland) · 2022
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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

7 authors at 3 institutions in 1 country.

Beverly EgyirDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana. beverlyegyir@gmail.com.
Esther DsaniRegional Veterinary Laboratory, Ho, Volta Region, Ghana.
Christian Owusu-NyantakyiDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Grebstad Rabbi AmuasiDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Felicia Amoa OwusuDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Emmanuel Allegye-CudjoeCentral Veterinary Laboratory, Pong-Tamale, Northern Region, Ghana.
Kennedy Kwasi AddoDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Noguchi Memorial Institute for Medical Research · GHTamale Teaching Hospital · GHUniversity of Ghana · GH

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe emergence of antimicrobial resistant bacteria in food producing animals is of growing concern to food safety and health. Staphylococci are common inhabitants of skin and mucous membranes in humans and animals. Infections involving antibiotic resistant staphylococci are associated with increased morbidity and mortality, with notable economic consequences. Livestock farms may enable cross-species transfer of antibiotic resistant staphylococci. The aim of the study was to investigate antimicrobial resistance patterns of staphylococci isolated from livestock and farm attendants in Northern Ghana using phenotypic and genotypic methods. Antimicrobial susceptibility testing was performed on staphylococci recovered from livestock and farm attendants and isolates resistant to cefoxitin were investigated using whole genome sequencing.

resultsOne hundred and fifty-two staphylococci comprising S. sciuri (80%; n = 121), S. simulans (5%; n = 8), S. epidermidis (4%; n = 6), S. chromogens (3%; n = 4), S. aureus (2%; n = 3), S. haemolyticus (1%; n = 2), S. xylosus (1%; n = 2), S. cohnii (1%; n = 2), S. condimenti (1%; n = 2), S. hominis (1%; n = 1) and S. arlettae (1%; n = 1) were identified. The isolates showed resistance to penicillin (89%; n = 135), clindamycin (67%; n = 102), cefoxitin (19%; n = 29), tetracycline (15%; n = 22) and erythromycin (11%; n = 16) but showed high susceptibility to gentamicin (96%; n = 146), sulphamethoxazole/trimethoprim (98%; n = 149) and rifampicin (99%; n = 151). All staphylococci were susceptible to linezolid and amikacin. Carriage of multiple resistance genes was common among the staphylococcal isolates. Genome sequencing of methicillin (cefoxitin) resistant staphylococci (MRS) isolates revealed majority of S. sciuri (93%, n = 27) carrying mecA1 (which encodes for beta-lactam resistance) and the sal(A) gene, responsible for resistance to lincosamide and streptogramin. Most of the MRS isolates were recovered from livestock.

conclusionThe study provides insights into the genomic content of MRS from farm attendants and livestock in Ghana and highlights the importance of using whole-genome sequencing to investigate such opportunistic pathogens. The finding of multi-drug resistant staphylococci such as S. sciuri carrying multiple resistant genes is of public health concern as they could pose a challenge for treatment of life-threatening infections that they may cause.

Indexed as

Staphylococcal InfectionsStaphylococcusAnimalsAnti-Bacterial AgentsCefoxitinDrug Resistance, BacterialFarmsGenomicsGhanaHumansLivestockMicrobial Sensitivity TestsStaphylococcus aureusStaphylococcus epidermidisAnti-Bacterial AgentsCefoxitinAntimicrobial resistanceGhanaMulti-drug resistanceStaphylococciWGS

Identifiers

PMID35864456
PMCPMC9306040
OpenAlexW4286489746

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.