Evidence map›Paper›PMID 39127665›Full record

ArticleBMC microbiology2024

Integrating multi-wet laboratory diagnostics to study staphylococci in animals in Uganda.

Steven Kakooza, Wilfred Eneku, Esther Nabatta, Eddie M Wampande, Paul Ssajjakambwe, Mariam Wanyana, Damien F N Munyiirwa, Dickson Ndoboli, Dorcus Namuyinda, Grace Athieno and 6 more

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Steven KakoozaCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda. ksteven310@gmail.com.
Wilfred EnekuDepartment of Veterinary Pharmacy, Clinics and Comparative Medicine, College of Veterinary Medicine, Animal Resources and Bio-Security Makerere University, Kampala, Uganda.
Esther NabattaNational Animal Disease Diagnostic and Epidemiology Centre, Entebbe, Uganda.
Eddie M WampandeDepartment of Veterinary Pharmacy, Clinics and Comparative Medicine, College of Veterinary Medicine, Animal Resources and Bio-Security Makerere University, Kampala, Uganda.
Paul SsajjakambweDepartment of Veterinary Pharmacy, Clinics and Comparative Medicine, College of Veterinary Medicine, Animal Resources and Bio-Security Makerere University, Kampala, Uganda.
Mariam WanyanaCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Damien F N MunyiirwaCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Dickson NdoboliCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Dorcus NamuyindaCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Grace AthienoCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Edrine KayagaCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Rodney OkwasiimireCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.
Sayaka TsuchidaCollege of Bioscience and Biotechnology, Biotechnolorere University, Aichi, Japan.
Kazunari UshidaCollege of Bioscience and Biotechnology, Biotechnolorere University, Aichi, Japan.
Ken'ichi SakuraiFaculty of Life and Environmental Sciences, Department of Animal Sciences, Teikyo University of Science, Tokyo, Japan.
Francis MutebiCentral Diagnostic Laboratory, College of Veterinary medicine, Animal resources and Biosecurity, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral diagnostic environments in Uganda lack real-time, robust and high-throughput technologies for comprehensive typing of microbes, which is a setback to infectious disease surveillance. This study combined various wet laboratory diagnostics to understand the epidemiology of pathogenic staphylococci isolated from animals in Uganda and the implications for global health security priorities.

methodsA retrospective study was conducted employing records and pathogenic staphylococci (from animals) archived at the Central Diagnostic Laboratory (CDL), Makerere University, Uganda, between January 2012 and December 2019. The bacteria were speciated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and tested for virulence factors [beta lactamases, lecithinase, deoxyribonuclease (DNase), haemolysins] and resistance to ten antimicrobials of clinical and veterinary relevance. Tetracycline and methicillin resistance genes were also tested.

resultsThe prevalent diseases were mastitis in cattle and skin infections in dogs. Of the 111 staphylococci tested by MALDI-TOF MS, 79 (71.2%) were Staphylococcus aureus, 27 (24.3%) were Staphylococcus pseudintermedius and 5 (4.5%) were Staphylococcus schleiferi. All these strains expressed haemolysins. The prevalence of strains with lecithinase, penicillinase, cephalosporinase and DNase was 35.9% (14/39), 89.7% (35/39), 0.0% (0/39) and 87.2% (34/39), respectively. Staphylococci were primarily resistant to early penicillins (over 80%), tetracycline (57.7%), and chloramphenicol (46.2%). Minimal resistance was noted with cloxacillin (0.0%), ciprofloxacin (9.6%), and cefoxitin (3.8%). The prevalence of multidrug resistance (MDR) was 78.8% for general staphylococci, 82.2% for S. aureus, 73.1% for S. pseudintermedius, and 60.0% for S. schleiferi. Multidrug resistant staphylococci were significantly more prevalent in the cattle isolates than in the dog isolates (P < 0.05). The prevalence of methicillin-resistant staphylococci (MRS) tested by resistance to cefoxitin and mecA carriage was 3.8%. These four strains were all isolated from dog skin infections. The tetK gene was the most predominant (35.4%), followed by tetM (25.0%).

conclusionIn resource-constrained settings, the approach of integrated diagnostics promises sustainable disease surveillance and the addressing of current capacity gaps. The emergence of MRS (zoonotic bacteria) in companion animals creates a likelihood of reduced treatment options for related human infections, a threat to global health.

Indexed as

Staphylococcal InfectionsStaphylococcusAnimalsAnti-Bacterial AgentsCattleCattle DiseasesDog DiseasesDogsFemaleMicrobial Sensitivity TestsRetrospective StudiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationUgandaVirulence FactorsAnti-Bacterial AgentsVirulence FactorsGlobal health security prioritiesMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)StaphylococciVirulence

Identifiers

PMID39127665
PMCPMC11316383

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Registered trials

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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.