Next Article in Journal
Antifungal Activity of Essential Oil and Plant-Derived Natural Compounds against Aspergillus flavus
Next Article in Special Issue
Staphylococcus aureus and CA-MRSA Carriage among Brazilian Indians Living in Peri-Urban Areas and Remote Communities
Previous Article in Journal
Variability in Adaptive Resistance of Salmonella Typhimurium to Sublethal Levels of Antibiotics
Previous Article in Special Issue
Molecular Epidemiology of Staphylococcus aureus and MRSA in Bedridden Patients and Residents of Long-Term Care Facilities
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Antibiotics
Volume 11
Issue 12
10.3390/antibiotics11121726
antibiotics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multi-Drug Resistant Staphylococcus aureus Carriage in Abattoir Workers in Busia, Kenya

by
Benear Apollo Obanda
1,2,3,
Cheryl L. Gibbons
4,
Eric M. Fèvre
5,6,*,
Lilly Bebora
1,
George Gitao
1,
William Ogara
7,
Shu-Hua Wang
2,8,
Wondwossen Gebreyes
2,9,
Ronald Ngetich
3,
Beth Blane
10,
Francesc Coll
11,
Ewan M. Harrison
10,12,13,
Samuel Kariuki
3,
Sharon J. Peacock
10 and
Elizabeth A. J. Cook
6,*
1
Department of Veterinary Pathology, Microbiology and Parasitology, University of Nairobi, Nairobi P.O. Box 29053-00625, Kenya
2
Global One Health Initiative, The Ohio State University, Columbus, OH 43210, USA
3
Centre for Microbiology Research Nairobi, Kenya Medical Research Institute, Nairobi P.O. Box 54840-00200, Kenya
4
Public Health Scotland, Glasgow G2 6QE, UK
5
Institute of Infection, Veterinary & Ecological Sciences, Leahurst Campus, University of Liverpool, Chester High Road, Neston CH64 7TE, UK
6
International Livestock Research Institute, Nairobi P.O. Box 30709-00100, Kenya
7
Department of Public Health Pharmacology and Toxicology, University of Nairobi, Nairobi P.O. Box 29053-00625, Kenya
8
Division of Infectious Disease, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
9
Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA
10
Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
11
London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
12
Wellcome Sanger Institute, Hinxton CB10 1SA, UK
13
Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Authors to whom correspondence should be addressed.
Antibiotics 2022, 11(12), 1726; https://doi.org/10.3390/antibiotics11121726
Submission received: 1 November 2022 / Revised: 28 November 2022 / Accepted: 29 November 2022 / Published: 1 December 2022
(This article belongs to the Special Issue Epidemiology, Virulence Factors and Antimicrobial Resistance in Staphylococcus aureus)
Browse Figure
Review Reports Versions Notes

Abstract

:
Abattoir workers have been identified as high-risk for livestock-associated Staphylococcus aureus carriage. This study investigated S. aureus carriage in abattoir workers in Western Kenya. Nasal swabs were collected once from participants between February-November 2012. S. aureus was isolated using bacterial culture and antibiotic susceptibility testing performed using the VITEK 2 instrument and disc diffusion methods. Isolates underwent whole genome sequencing and Multi Locus Sequence Types were derived from these data. S. aureus (n = 126) was isolated from 118/737 (16.0%) participants. Carriage was higher in HIV-positive (24/89, 27.0%) than HIV–negative participants (94/648, 14.5%; p = 0.003). There were 23 sequence types (STs) identified, and half of the isolates were ST152 (34.1%) or ST8 (15.1%). Many isolates carried the Panton-Valentine leucocidin toxin gene (42.9%). Only three isolates were methicillin resistant S. aureus (MRSA) (3/126, 2.4%) and the prevalence of MRSA carriage was 0.4% (3/737). All MRSA were ST88. Isolates from HIV-positive participants (37.0%) were more frequently resistant to sulfamethoxazole/trimethoprim compared to isolates from HIV-negative participants (6.1%; p < 0.001). Similarly, trimethoprim resistance genes were more frequently detected in isolates from HIV-positive (81.5%) compared to HIV-negative participants (60.6%; p = 0.044). S. aureus in abattoir workers were representative of major sequence types in Africa, with a high proportion being toxigenic isolates. HIV-positive individuals were more frequently colonized by antimicrobial resistant S. aureus which may be explained by prophylactic antimicrobial use.

1. Introduction

Staphylococcus aureus is a common commensal of the skin, thought to persistently colonize approximately one third of the human population [1]. Nasal carriage of S. aureus is a recognized risk factor for skin and soft tissue infections (SSTI) in the clinical setting [2,3]. S. aureus may also cause food poisoning and more serious conditions such as pneumonia, endocarditis, osteomyelitis, sepsis, and toxic shock syndrome [4]. HIV-positive individuals are more likely to be colonized by S. aureus, which accounts for significant morbidity in this group compared to the general population [5].
The sub-Saharan region is recognized as the world’s epicenter of the HIV/AIDS epidemic. The prevalence of HIV in Kenya is 5% [6]. The Kenyan Ministry of Health recommends the use of sulfamethoxazole/trimethoprim for the management of opportunistic infections in all HIV positive patients regardless of immunological status [7]. The prophylactic use of sulfamethoxazole/trimethoprim in HIV-positive individuals results in significant protection from a range of pathogens including Toxoplasma gondii, Salmonella sp., Haemophilus sp., Staphylococcus sp., and Pneumocystis jiroveci [8]. However, prophylactic use of sulfamethoxazole/trimethoprim in HIV-positive individuals in the sub-Saharan region has led to the emergence of antibiotic resistant and multidrug resistant S. aureus strains [9,10].
Antimicrobial resistance (AMR) poses a threat to life since infections caused by multi-drug resistant organisms have fewer treatment options available [11]. This is particularly important for the HIV-positive population. Injudicious use of antibiotics in human medicine, coupled with extensive antibiotic use in livestock production for both therapeutic and non-therapeutic reasons has led to the development of antibiotic resistant bacteria in people and animals [12,13]. Multi-drug resistant methicillin sensitive S. aureus (MSSA) and methicillin resistant S. aureus (MRSA) have been detected in animals and meat products [14]. There has also been documented transmission to livestock keepers and abattoir workers [15,16]. This implies that, abattoir workers’ nares can be colonized by S. aureus from contaminated meat, transforming them into carriers or reservoirs of S. aureus. Carriers can transmit the bacteria from their noses to other body parts, to the general population, or contaminate foods and food surfaces during handling [17]. These transmission routes have been reported in several European countries [18,19].
Multi-locus sequence typing is conducted on S. aureus to understand the molecular epidemiology of the isolates including the evolution, source attribution and transmission through the sequencing of seven housekeeping genes [20]. Clonal complexes (CC) describe S. aureus lineages by grouping sequence types (STs) where at least 5/7 alleles are identical between STs in the group [21]. The dominant STs vary between countries and within countries depending on the source. The dominant MSSA STs in Africa are ST5, ST8, ST15, ST30, ST121, ST152 and the dominant MRSA STs are ST5, ST8, ST80, ST88, ST239/ST241 [22]. There is limited information of the predominant sequence types in Kenya but there are increased reports of ST5, ST8, ST22, with the predominant MRSA ST being ST239/241 [23,24,25,26,27,28].
Isolates of S. aureus may carry genes for virulence factors such as Panton-Valentine leukocidin (PVL), and the toxic shock syndrome toxin (TSST-1) [29,30,31]. PVL is a virulence factor which is associated with SSTI and has a debatable role in causing necrotizing pneumonia [32,33,34,35] whereas TSST-1 results in toxic shock syndrome leading to lethal hypotension [29]. In sub-Saharan Africa S. aureus isolates more frequently carry the pvl gene with the median prevalence of pvl-positive MRSA being 33% (range from 0 to 77%; n = 15), compared to Europe where less than 5% of S. aureus isolates carry the pvl gene [23,36,37]. There is very little information about the prevalence of tsst-1 gene carriage in Africa with one study in Nigeria reporting carriage in human isolates to be 16% [38].
Here, we report on a study of MSSA/MRSA nasal carriage of abattoir workers in rural abattoirs in Busia County, western Kenya. This study aimed to establish the prevalence of MSSA and MRSA colonization and describe genetic characteristics of isolates obtained from abattoir workers in order to understand the epidemiology of S. aureus in this population of workers exposed to livestock. This was done by investigating the prevalence of pvl and tsst-1 genes, antimicrobial susceptibility and diversity of STs. Due to the high proportion of HIV-positive individuals in this population we also endeavored to use this dataset to understand the effect of prophylactic use of sulfamethoxazole/trimethoprim in HIV-positive individuals on the emergence of MSSA/MRSA antibiotic resistance and associated virulence by comparing HIV-positive and HIV-negative workers. Genotypic characterization of virulent strains and their antibiotic resistance profiles will contribute to understanding the potential sources and transmission routes of S. aureus in this setting. This information will be valuable to Kenya’s National Policy for the prevention and containment of AMR [39].

2. Results

2.1. Description of Study Population

A total of 737/738 abattoir workers, recruited between February and November 2012, consented to a blood sample and a single nasal swab which was cultured for the presence of S. aureus. One participant declined to provide a blood sample and was excluded.
The majority of participants were men 711/737 (96.5%) and the mean age was 39 (range 18–82 years). The number of participants who tested positive for HIV was 89/737 (12.1%, 95%CI 9.9–14.7%). Additionally, 127/737 (17.2%) of participants had taken antibiotics in the previous month.

2.2. Prevalence of MRSA and MSSA among HIV-Positive and HIV-Negative Participants

S. aureus was isolated from 118/737 (16.0%; 95%CI 13.6–18.8%) participants. From 118 positive samples, 126 isolates were cultured in total since four participants had two separate strains and a further two participants had three strains identified from the same sample. Three isolates were MRSA and 123 isolates were MSSA, giving a prevalence of MRSA carriage of 0.4% (95%CI 0.1–1.2%), and MSSA carriage of 15.6 % (95%CI 13.2–18.5%), respectively (Table 1). There were no known relationships between the three MRSA carriers, and individuals worked at different abattoirs.
Of the HIV-positive workers, 24/89 were positive for S. aureus (27.0% (95%CI 19.1–36.7%). In contrast, 94/648 HIV-negative workers were positive for S. aureus (14.5%, 95%CI 12.0–17.4%) (Chi2 = 9.081, df = 1, p = 0.003). There were 27 S. aureus isolates cultured from HIV-positive workers (26 MSSA and 1 MRSA) and 99 S. aureus isolates from HIV-negative individuals (97 MSSA and 2 MRSA). There was no difference in detection of MRSA in the two groups (HIV-negative 2/99, 2.0% versus HIV-positive 1/27, 3.7%; Chi2 = 0.263, df = 1, p = 0.608). There was no significant difference between the proportion of HIV-positive workers (17/89, 19.1%) and HIV-negative workers (110/647, 17.0%) who had recently taken antibiotics (Chi2 = 0.241, df = 1, p = 0.623).

2.3. Genetic Diversity of MSSA and MRSA STs in HIV-Positive and HIV-Negative Participants

Multi-locus sequence typing from the whole genome sequencing of the 126 S. aureus isolates identified eleven clonal complexes, consisting of CC1, CC5, CC8, CC15, CC22, CC25, CC30, CC72, CC80, and CC88 (Figure 1). The largest cluster of isolates was CC152. Two ST types accounted for approximately half of all isolates with ST152 (43/126, 34.1%), and ST8 (19/126, 15.1%,) most frequently identified, followed by ST72 (9/126, 7.1%), ST80 (7/126, 5.6%) and ST22 (5/126, 4%). The three MRSA isolates were all ST88.
HIV-positive participants carried 8 different STs and HIV-negative participants carried 23 different STs, indicating roughly equivalent genetic diversity in the two groups. There was no difference in the carriage of ST152 in HIV-negative (35/99, 35.4%) versus HIV-positive participants (8/27, 29.6%; Chi2 = 0.315, df = 1, p = 0.575). ST8 was isolated at a higher proportion from HIV-positive (11/27, 40.7%) than HIV-negative participants (8.1%, 8/99) (Chi2 = 17.460, df = 1, p < 0.001). All ST72 were recovered from HIV-negative participants (Supplementary Table S1).

2.4. Prevalence of PVL Gene and Toxic Shock Syndrome Toxin-1 (TSST-1) Gene Carriage

Almost half of isolates (54/126, 42.9%) were pvl-positive. There was no difference in prevalence of pvl gene carriage between isolates from HIV-positive workers (10/27, 37.0%) and isolates from HIV-negative participants (44/99, 44.4%; Chi2 = 0.471, df = 1, p = 0.493). The majority of pvl-positive isolates were ST152 (39/54, 72.2%). Other STs, with pvl gene carriage were ST1633 (4/54, 7.4%), ST30 (3/53, 5.6%), ST88 (2/54, 3.7%), ST80 (2/54, 3.7%), ST2430 (1/54, 1.9%), ST22 (1/54, 1.9%), and ST5 (1/54, 1.9%). The tsst-1 gene was identified in 15/126 isolates (11.9%), the majority of which were ST 72 (9/15, 60%). The remainder were ST22 (3/15, 20%), ST707 (2/15, 13.3%) and ST8 (1/15, 6.7%). The majority of tsst-1 positive isolates (n = 14) were detected in HIV-negative participants. The three MRSA isolates were negative for both genes.

2.5. Prevalence of Phenotypic Antibiotic Resistant S. aureus Carriage in Participants

Antibiotic susceptibility testing of the 126 S. aureus isolates using the VITEK 2 instrument demonstrated that all isolates were susceptible to chloramphenicol, daptomycin, fusidic acid, mupirocin, nitrofurantoin, rifampicin, teicoplanin, tigecycline, vancomycin, and clindamycin. Resistance was very low to cefoxitin (2/126, 1.6%), ciprofloxacin (2/126, 1.6%), erythromycin (4/126, 3.2%), gentamicin (2/126, 1.6 %), linezolid (1/126, 0.8 %), oxacillin (1/126, 0.8%), and inducible resistance to clindamycin (4/126, 3.2%). Higher levels of resistance were detected to penicillin-G (123/126, 97.6%); trimethoprim (81/126, 64.3%), tetracycline (33/126, 26.2%) by VITEK 2, and sulfamethoxazole/trimethoprim by disc diffusion (16/126, 12.7%) (Table 2).
Resistance to trimethoprim was not significantly different between isolates from HIV-positive (21/27, 77.8%) and HIV negative (60/90, 60.6%) participants (Chi2 = 2.712, df = 1, p = 0.100). In contrast, resistance to sulfamethoxazole/trimethoprim by disc diffusion was more common in HIV-positive participants (10/27, 37.0%) compared with HIV-negative participants (6/99, 6.1%, Chi2 = 18.098, df = 1, p < 0.001). Most sulfamethoxazole-trimethoprim resistance isolates were ST8 (12/16, 75%), others being ST80, ST25 and ST152. Of the sixteen sulfamethoxazole/trimethoprim resistant isolates only one was pvl-positive and none carried the tsst-1 gene.

2.6. Prevalence of MDR S. aureus

A total of 34/126 (27.0% (95%CI 20.0–35.3%) isolates were multidrug resistant from the VITEK 2 results. The proportion of MDR isolates was higher in isolates from HIV-positive (9/27, 33.3%) than in isolates from HIV-negative participants (25/99, 25.3%), although this was not statistically significant (Chi2 = 0.683, df = 1, p = 0.409). The most common resistance combination was trimethoprim, penicillin, and tetracycline, observed in 82.4% (28/34) of MDR isolates and accounting for 22.2% (28/126) of all S. aureus isolates (Figure 1). There was no significant difference between isolates demonstrating the resistance pattern of trimethoprim, penicillin and tetracycline from HIV-negative (8/27, 29.6%) versus HIV-positive participants (20/99, 20.2%) (Chi2 = 1.076, df = 1, p = 0.230). There was no significant difference in the proportion of carriage of MDR isolates between groups with recent and no recent antibiotic use (8/25, 32.0% versus 26/101, 25.7%) (Chi2 = 0.401, df = 1, p = 0.527).
MDR isolates were predominantly ST8 (26.5%, 9/34) and ST80 (7/34, 20.6%). MDR isolates were less frequently pvl positive (9/34, 26.5%) than non-MDR isolates (45/92, 48.9%) (Chi2 = 5.046, df = 1, p = 0.025). Of the MDR isolates, 8.8% (3/34) were positive for tsst-1 compared to 13.0% (12/92) of the non-MDR isolates (Chi2 = 0.415, df = 1, p = 0.519).
Highly resistant MDR S. aureus that were resistant to at least five antibiotic classes were isolated from one HIV-positive and three HIV-negative participants.

2.7. Prevalence of Genotypic Antibiotic Resistance in MSSA and MRSA Strains

The most common resistance genes detected were beta-lactamase resistance gene blaZ (123/126, 96.9%); trimethoprim resistance gene dfrG (78/126, 61.9%), and tetracycline resistance gene tetK (32/126, 25.4%). Other resistance genes detected included dfrA (4/126, 3.2%), tetM (1/126, 0.8%), erythromycin resistance gene ermC (4/126, 3.2%), and gentamicin resistance gene aacA-aphD (2/126, 1.6%). HIV-positive individuals were significantly more frequently colonized by S. aureus harboring dfrA and dfrG genes (22/27, 81.5%) compared to HIV-negative persons (60/99, 60.6%; Chi2 = 4.045, df = 1, p = 0.044). There was no significant difference prevalence of tetK and tetM genes between HIV-positive participants (9/27, 33.3%) compared to HIV-negative persons (24/99, 24.2%; (Chi2 = 0.902, df = 1, p = 0.342).
There was almost 100% agreement between phenotypic and genotypic resistance patterns for benzylpenicillin (121/123, 98.4%), trimethoprim (81/82, 98.8%), tetracycline (31/33 93.9%), erythromycin (4/4, 100%), and gentamicin (2/2, 100%). However, there was discrepancy between the MRSA isolates identified by the presence of mecA gene (n = 3) and those demonstrating oxacillin resistance (n = 1/3, 33.3%) and cefoxitin resistance (n = 2/3, 66.6%).

3. Discussion

This study described the nasal carriage of S. aureus in abattoir workers in western Kenya. The overall nasal carriage of S. aureus in this population was 16.0% where 15.6% were MSSA and 0.4% were MRSA. Humans are asymptomatically colonized with nasal S. aureus in the range of between 20–30% [40] with MRSA colonization varying between studies and dictated by the methodology used [41]. The carriage of S. aureus in this population was lower than expected but consistent with another study conducted in abattoir workers in Nigeria where the prevalence of S. aureus carriage was 13.5% [42].
The study population was made up of two groups: HIV-positive abattoir workers and HIV-negative abattoir workers which had an impact on the phenotypes and genotypes of S. aureus isolates in this population. The prevalence of HIV infection in this population (12%) was higher than the national average (5%). The reasons for the increased HIV positivity in this population may be related to the sociodemographic group but this was not explored further in this study. The prevalence of S. aureus nasal carriage of HIV-positive abattoir workers was significantly higher, 27.0%, when compared to HIV-negative abattoir workers, 14.5%. HIV infection is considered a risk factor for S. aureus colonization [22]. This difference in nasal carriage has been reported in previous studies in Africa. In Lagos, Nigeria, HIV-positive study participants were more likely to be colonised with S. aureus (33%) compared to HIV-negative participants (21%) [43]. These findings in the sub-Saharan region, suggest that HIV individuals are predisposed to S. aureus nasal colonization. Nasal colonization can lead to opportunistic infection in immunocompromised people, and the infection can be life-threatening if not treated promptly [2,44]. This highlights the need to monitor AMR in this population to determine treatment options and improve antimicrobial stewardship.
There was a high proportion of toxigenic strains of S. aureus carrying the pvl gene (42.9%) and the tsst-1 gene (11.9%). This is consistent with other studies conducted in sub-Saharan Africa where the carriage of pvl genes (33%) is higher than that reported in Europe (5%) [22]. The majority of pvl positive strains were ST152-MSSA, which is one of the predominant pvl-positive clones in Africa [22,36,45]. The carriage of pvl-positive S. aureus puts abattoir workers at risk of opportunistic deep skin and soft tissue infections [36,46,47]. The carriage of S. aureus pvl-positive strains was not significantly different between HIV-positive abattoir workers (37.0%) and HIV-negative abattoir workers (44.4%) which is consistent with reports from Nigeria, where the proportion of S. aureus pvl-positive strains were evenly distributed between isolates from HIV-positive and HIV-negative individuals [43].
There was an inverse relationship between pvl carriage and AMR, with 26.5% of MDR isolates being pvl positive compared to non-MDR isolates (48.9%) (p = 0.025). This differs from other studies in the region where pvl carriage has been associated with MDR. An association between pvl carriage and sulfamethoxazole/trimethoprim resistance has been observed in Gabon and Nigeria among HIV-positive individuals [43,46].
The prevalence of MRSA carriage (0.4%) identified in this study was low compared to studies conducted with abattoir workers in Europe (5.6%) [48], and the USA 3.6% [16]. However, our results are consistent with other reports of MRSA carriage in Kenya (0.8%) [26] but much lower than studies of MRSA cultured from hospital patients in Kenya (53.4%) [49]. This may suggest that MRSA infection in Kenya is predominantly linked to the hospital environment rather than acquired from the community. The three MRSA isolates belonged to ST88, which is referred to as the “African” community-associated (CA-MRSA) clone [50] but is not the most reported MRSA sequence type in Kenya, which is ST239 [24]. ST88 has been reported in pigs and workers in a Nigerian abattoir and may indicate an animal source [51]. Antimicrobial use in animals is not regulated in Kenya and the most frequently used antibiotics in animals in western Kenya are oxytetracycline and penicillin-streptomycin [52]. Further work to understand MRSA carriage in animals, as well as spread in the human population and environment, is required.
The findings from this study supported prior evidence of S. aureus resistance to penicillin, tetracycline, and sulfamethoxazole/trimethoprim in the sub-Saharan region [22]. The proportion of isolates that were phenotypically resistant to penicillin (97.6%), tetracycline (26.2%), and sulfamethoxazole/trimethoprim (12.7%) was consistent with previous studies from Kenya reporting marked resistance to penicillin (76–100%) and moderate resistance to tetracycline (15–20%) and sulfamethoxazole/trimethoprim (30–40%) [25,26]. There was increased frequency of sulfamethoxazole/trimethoprim resistance in HIV-positive abattoir workers (37%) compared to HIV-negative workers (6.1%) (p < 0.001), with the majority of resistant strains belonging to ST8-MSSA.
There was high genotype-phenotype concordance between resistance genes detected and antimicrobial susceptibility test (AST) results for most antimicrobials as has been previously reported [25]. However, there were two mecA positive MRSA strains that were susceptible to oxacillin and one of these was also susceptible to cefoxitin. This may be due to a misclassification error, although the sensitivity of the VITEK 2 instrument for detecting oxacillin resistance is high (97.5%) [53]. Alternatively, this may indicate oxacillin susceptible mecA MRSA (OS-MRSA) strains are circulating in this environment. OS-MRSA strains have previously been identified in other parts of Africa mainly associated with ST88 as described here [54]. Information regarding the presence of the mecC gene in these isolates was not available. The presence of OS-MRSA in this setting may complicate treatment options that are based solely on AST results, since OS-MRSA may be misidentified as MSSA, and these isolates can develop β-lactam resistance following antibiotic therapy [55].
Sulfamethoxazole/trimethoprim is an effective antibiotic combination in the treatment and prevention of bacterial infections in people who are HIV positive and has been used to treat Pneumocystis jiroveci pneumonia and other bacterial infections in severely immunocompromised HIV-positive individuals. The prophylactic use of sulfamethoxazole/trimethoprim in all HIV-positive individuals regardless of CD4 counts, especially in regions having high prevalence of malaria and/or severe bacterial infections, such as sub-Saharan region [56], may have resulted in the high prevalence of sulfamethoxazole/trimethoprim resistant S. aureus in Africa [43,46]. This, coupled with the extensive use of penicillin and tetracycline for use in animal production for both therapeutic and non-therapeutic purposes in Africa [12], has created a favorable environment for the emergence of multidrug resistance S. aureus through antibiotic related selective pressure [57,58]. These MDR S. aureus reduce the treatment options for effective treatment for HIV-positive individuals with opportunistic infections. With the presence of MDR S. aureus that are resistant to additional multiple resistant combinations, including erythromycin, clindamycin, ciprofloxacin and gentamicin, the treatment options will be further diminished and become more expensive. The improved availability of antiretroviral therapy (ART) in sub-Saharan Africa, has led to reduction of severely immune compromised HIV-positive individuals and fewer cases of serious Pneumocystis jiroveci pneumonia and opportunistic infections among HIV-positive individuals [59]. Improved health outcomes for HIV-positive individuals through access to ART may lead to reduced prophylactic use of sulfmethoxazole/trimethoprim in this region. This will aid in the preservation of therapeutic advantages of this affordable drug in treatment and prevention of bacterial infections.
Multi-drug resistant S. aureus strains colonizing HIV-positive abattoir workers may be a risk for SSTI since 25% of workers reported being injured at work [60]. MDR S. aureus could also be transmitted to the community directly or through the meat supply chain to consumers [4]. In addition, if the respective abattoir workers are hospitalized, the strains can be spread to hospital staff and compromised inpatients, threatening effective treatment of resultant infections [61]. Thus, MDR S. aureus-colonized abattoir workers pose a public health problem in hospitals, community, and food industry in Busia County, which can extend to other parts of Kenya and neighboring countries of Kenya since Busia is a border town.
There is a need for increased monitoring of antibiotic usage and surveillance measures for AMR bacteria in both animals and humans in this region already burdened by HIV/AIDS infection and where there is rapidly increasing demand for meat products caused by population growth and urbanization [12]. Additionally, there is a need for strategies to promote the prudent use of antimicrobials and antimicrobial stewardship as described by the global strategy [62]. It is particularly important to strategize on the appropriate use of sulfamethoxazole/trimethoprim, tetracyclines and penicillin in human and animal healthcare and food production in sub-Saharan region, since there were high proportions of resistant isolates to these antimicrobials. It has been demonstrated that a reduction of antibiotic consumption leads to decreased prevalence of antimicrobial resistance [63]. This can be done through national action plans for the prevention and containment of AMR with contributions from human and animal health agencies [39].
There was a delay between the collection of samples and the publication of these findings which may limit the usefulness of these results. However, given the lack of available data regarding the circulating MSSA and MRSA strains and antimicrobial resistance profiles of S. aureus in this population the data is a valuable contribution to knowledge regarding AMR in the region and may prove a useful baseline for comparison to future studies. Data regarding the circulating MSSA and MRSA strains in livestock was not available at the time of this publication. This information would have been useful to understand the potential for transmission of isolates between livestock and workers and is a data gap that should be targeted in future research.

4. Materials and Methods

4.1. Study Site

The study area was a 45 km radius from Busia town including most of Busia County, and parts of Bungoma, Siaya and Kakamega Counties spanning the 3200 km2 of the Lake Victoria ecosystem. The predominant industry in the study area is subsistence agriculture [64]. A census of all abattoirs (n = 156) was conducted in the study area in 2012. Fourteen abattoirs declined to participate. Participants were recruited from 142 abattoirs, 84 ruminants and 58 porcine [60].

4.2. Study Population

A total of 738 abattoir workers were recruited into the study between February and November 2012 from a total of 1005 workers (73.3%) in the selected slaughterhouses. In abattoirs with 12 workers or less all consenting workers were recruited and in abattoirs with more than 12 workers a random selection of twelve workers were recruited [60].

4.3. Data and Sample Collection

All participants were informed of the project objectives and protocol by a clinical officer who collected signed informed consent. Data was collected using a structured questionnaire regarding demographic details, health events and recent antimicrobial use. Nasal samples were collected by rotating a sterile swab five times in both anterior nares, from consenting abattoir workers. The swabs were inoculated in tryptone soya broth with 6% salt and transported in cool boxes to the laboratory for culturing.
Blood was collected by a clinical officer into 4 mL EDTA vacutainers using a butterfly catheter (BD Vacutainer® Safety-Lok™ blood collection set). Samples were transported in cool boxes to the laboratory in Busia. Whole blood samples were stored frozen at −40 °C until transportation to the International Livestock Research Institute (ILRI) laboratory in Nairobi for long term storage at −80 °C. HIV testing was performed on whole blood using the SD Bioline HIV 1/2 Fast 3.0 test strips (Standard Diagnostics Inc., Suwon-si, South Korea).
Swabs were streaked onto Mannitol Salt agar and incubated at 37 °C in air overnight. Suspect S. aureus isolates, those fermenting mannitol and producing yellow colonies, were stocked in tryptone soya broth with 10% glycerol and stored at −40 °C and transported on dry ice to Nairobi. Presumptive S. aureus isolates were further cultured onto mannitol salt agar (MSA) and sub-cultured to obtain pure culture. The S. aureus isolates were identified using Gram reaction (Gram-positive cocci in clumps), catalase, coagulase (tube method using rabbit plasma) and DNase tests. Initially, a long sweep of the colonies was done to allow preservation of genetic diversity of nasal carriage of the participant. During whole genome sequencing, some samples were shown to consist of mixed isolates and these samples were recultured to select single colonies for sequencing and antimicrobial susceptibility testing.

4.4. Phenotypic Antimicrobial Susceptibility Testing

Antimicrobial susceptibility testing (AST) was performed using the VITEK 2 instrument (bioMerieux, Marcy-l’Étoile, France), for 20 antimicrobials including: benzylpenicillin, cefoxitin, oxacillin, ciprofloxacin, erythromycin, chloramphenicol, daptomycin, fusidic acid, gentamicin, linezolid, mupirocin, nitrofurantoin, rifampicin, teicoplanin, tetracycline, tigecycline, trimethoprim, vancomycin, clindamycin, and inducible resistance to clindamycin. The Vitek 2 system uses fluorescence, turbidity and colormetric methods to monitor bacterial growth and uses this to calculate minimum inhibitory concentrations (MICs) [65].
Additionally, due to the clinical importance, antimicrobial resistance to sulfamethoxazole/trimethoprim was tested using the Kirby-Bauer disc diffusion using Clinical and Laboratory Standards Institute (CLSI) guidelines (1.25 + 23.75 µg; TMP/SXT). Zone diameter interpretive standards were: sensitive ≥16 mm, intermediate 11–15 mm and resistant 10 ≤ [66].
Multi-drug resistant S. aureus were defined as isolates that were resistant to three or more different antimicrobials using the VITEK results [67,68,69]. Isolates resistant to 5 or more antimicrobials were described as highly multi-drug resistant.

4.5. Molecular Genotyping

DNA extraction from S. aureus isolates was performed using QIAGEN DNeasy Blood & Tissue kit (QIAGEN, Valencia, CA, USA). Staphylococcal cassette chromosome (SCC) mec typing were performed using previously described methods [70]. Isolates with the mecA gene were classified as MRSA. Panton-Valentine Leukocidin (pvl) and toxic shock syndrome toxin-1 (tsst-1) gene detection was done by PCR using previously described oligonucleotide primers [71,72] at the Kenya Medical Research Institute Laboratories (KEMRI), Nairobi, Kenya.
DNA extraction from S. aureus isolates was performed on a QIAcube, using the QIAamp 96 HT kit (QIAGEN). Genomic libraries were generated and sequenced on an Illumina HiSeq 2000 (Illumina Inc., San Diego, CA, USA) at the Wellcome Sanger Institute, Hinxton, UK. Illumina reads were analysed based on the S. aureus MLST database ( https://pubmlst.org/organisms/staphylococcus-aureus, accessed on 31 March 2021) [73], and analysis of virulence and antimicrobial resistance genes were conducted using virulence finder database (https://cge.cbs.dtu.dk/services/, accessed on 31 March 2021).

4.6. Genomic Analyses

Paired-end Illumina reads were mapped to the S. aureus reference genome ST22 strain HO 5096 0412 (accession number HE681097) using Snippy v4.6.0 (https://github.com/tseemann/snippy, accessed on 31 October 2022). Whole-genome alignments were created by keeping a version of the reference genome with only substitution variants replaced (i.e., SNPs but not indels) using Snippy’s .consensus.subs.fa output files. The S. aureus species core-genome had been previously derived [74] from a collection of 800 S. aureus from multiple host species [75]. The portion of the reference genome (2.83 Mb) corresponding to the core genome (1.76 Mb) was kept from whole-genome alignments and used to generate maximum likelihood trees using IQ-TREE v1.6.10 with default settings. The resulting core-genome phylogeny was plotted with isolate metadata using ggtree v.3.0.4 [76] and ggtreeExtra v.1.2.3 on R v4.1.0 [77].

4.7. Statistical Analyses

Statistical analysis was performed using the chi-squared test. A p-value <0.05 was considered an indication of significant difference.

4.8. Ethical Approval

The study was approved by the Centre for Microbiology Research Centre Scientific Committee, Kenya Medical Research Institute scientific steering Committee and Ethical Review Committee (SSC No 2086 granted 31 October 2011 and 2944 granted 13 May 2015).

5. Conclusions

This study identifies the circulating MSSA and MRSA strains in a population occupationally exposed to livestock in rural western Kenya. This gives an improved understanding of the epidemiology of S. aureus particularly the strains, sources, and risk groups in a setting that has not been previously studied. More importantly, the study indicates the levels of AMR and prevalence of toxigenic genes in S. aureus isolates, which is particularly important in this community with high prevalence of immunocompromised individuals. This information can contribute to developing measures for the prevention and containment of AMR.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics11121726/s1, Table S1: Sequence types of MSSA and MRSA strains isolated from nasal of HIV positive and negative abattoir workers Busia County.

Author Contributions

Conceptualization, B.A.O. and E.A.J.C.; Data curation, B.A.O., F.C., E.M.H. and E.A.J.C.; Formal analysis, B.A.O., R.N., B.B., F.C., E.M.H. and E.A.J.C.; Funding acquisition, E.M.F., S.-H.W., W.G., S.J.P. and E.A.J.C.; Investigation, B.A.O., E.M.H. and E.A.J.C.; Methodology, B.A.O., C.L.G., E.M.F., E.M.H., S.K. and E.A.J.C.; Resources, E.M.F. and S.J.P.; Supervision, L.B., G.G., W.O., S.-H.W., W.G. and S.K.; Writing—original draft, B.A.O.; Writing—review and editing, C.L.G., S.-H.W., E.M.H., S.J.P. and E.A.J.C. All authors have read and agreed to the published version of the manuscript.

Funding

Benear Obanda’s research was supported in part by One Health Eastern Africa Research Training (OHEART) program, at the Ohio State University, Global One Health initiative (GOHi) through the financial support from National Institutes of Health (NIH) Fogarty International Center (grant number D43TW008650) awarded to GW and SHW. EAJC was supported with an Innovation Initiative Grant (GR000154) from the University of Edinburgh, and Medical Research Council grants (1525363 and 971282). A Wellcome Trust grant (085308) was awarded to EMF and supported the People and their Zoonoses project (PAZ). Support was received from the CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), led by the International Food Policy Research Institute (IFPRI). We acknowledge the CGIAR Fund Donors (https://www.cgiar.org/funders/, accessed on 31 October 2022). This work was also supported by the Health Innovation Challenge Fund (WT098600, HICF-T5-342), a parallel funding partnership between the Department of Health and Wellcome Trust. The views expressed in this publication are those of the author(s) and not necessarily those of the Department of Health or Wellcome Trust.” and “The APC was funded by the University of Liverpool”.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of the Centre for Microbiology Research Centre Scientific Committee, Kenya Medical Research Institute scientific steering Committee and Ethical Review Committee (SSC No 2086 granted on 31 October 2011 and 2944 granted on 13 May 2015).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data is contained within the article and Supplementary Material.

Acknowledgments

Thank you to the PAZ team—Hannah Kariuki, John Mwaniki, James Akoko, Omoto Lazarus, Fred Amanya, Lorren Alumasa, Daniel Cheruyoit, Isaac Obara, Dominic Njuguna, Abraham Simiyu, Gideon Maloba, George Omondi, Lillian Abonyo, and Bartholomew Wabwire for their hard work and diligence. We are grateful to all the participating slaughterhouse workers for their willingness to be involved in the research, and the national and local veterinary authorities for their collaboration.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Williams, R.E. Healthy carriage of Staphylococcus aureus: Its prevalence and importance. Bacteriol. Rev. 1963, 27, 56–71. [Google Scholar] [CrossRef] [PubMed]
  2. Sakr, A.; Brégeon, F.; Mège, J.L.; Rolain, J.M.; Blin, O. Staphylococcus aureus nasal colonization: An update on mechanisms, epidemiology, risk factors, and subsequent infections. Front. Microbiol. 2018, 9, 2419. [Google Scholar] [CrossRef] [PubMed]
  3. Wertheim, H.F.L.; Melles, D.C.; Vos, M.C.; van Leeuwen, W.; van Belkum, A.; Verbrugh, H.A.; Nouwen, J.L. The role of nasal carriage in Staphylococcus aureus infections. Lancet Infect. Dis. 2005, 5, 751–762. [Google Scholar] [CrossRef]
  4. Velasco, V.; Quezada-Aguiluz, M.; Bello-Toledo, H. Staphylococcus aureus in the Meat Supply Chain: Detection Methods, Antimicrobial Resistance, and Virulence Factors. In Staphylococcus and Streptococcus; Kırmusaoğlu, S., Ed.; IntechOpen: Rijeka, Croatia, 2019. [Google Scholar]
  5. Hidron, A.; Moanna, M.D.A.; Russell Kempker, M.D.; David Rimland, M.D. Methicillin-resistant Staphylococcus aureus in HIV-infected patients. Infect. Drug Resist. 2010, 73, 73–86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. NACC. Kenya HIV Estimates Report 2018; National AIDS Control Council: Nairobi, Kenya, 2018. [Google Scholar]
  7. Ministry of Health. National Manual for the Management of HIV-Related Opportunistic Infections and Conditions; Ojoo, S., Ed.; Ministry of Health: Nairobi, Kenya, 2008. Available online: http://guidelines.health.go.ke:8000/media/National_Manual_for_the_management_of_HIV_related_OIs.pdf (accessed on 23 October 2022).
  8. Dworkin, M.S.; Williamson, J.; Jones, J.L.; Kaplan, J.E. Prophylaxis with Trimethoprim-Sulfamethoxazole for Human Immunodeficiency Virus—Infected Patients: Impact on Risk for Infectious Diseases. Clin. Infect. Dis. 2001, 60601, 393–398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Fair, R.J.; Tor, Y. Antibiotics and bacterial resistance in the 21st century. Perspect. Medicin. Chem. 2014, 6, 25–64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Martin, J.N.; Rose, D.A.; Hadley, W.K.; Perdreau-Remington, F.; Lam, P.K.; Gerberding, J.L. Emergence of Trimethoprim-Sulfamethoxazole Resistance in the AIDS Era. J. Infect. Dis. 1999, 180, 1809–1818. [Google Scholar] [CrossRef] [Green Version]
  11. Murray, C.J.; Ikuta, K.S.; Sharara, F.; Swetschinski, L.; Robles Aguilar, G.; Gray, A.; Han, C.; Bisignano, C.; Rao, P.; Wool, E.; et al. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 2022, 399, 629–655. [Google Scholar] [CrossRef]
  12. Kimera, Z.I.; Mshana, S.E.; Rweyemamu, M.M.; Mboera, L.E.G.; Matee, M.I.N. Antimicrobial use and resistance in food-producing animals and the environment: An African perspective. Antimicrob. Resist. Infect. Control 2020, 9, 37. [Google Scholar] [CrossRef] [Green Version]
  13. Dweba, C.C.; Zishiri, O.T.; El Zowalaty, M.E. Methicillin-resistant staphylococcus aureus: Livestock-associated, antimicrobial, and heavy metal resistance. Infect. Drug Resist. 2018, 11, 2497–2509. [Google Scholar] [CrossRef]
  14. Waters, A.E.; Contente-Cuomo, T.; Buchhagen, J.; Liu, C.M.; Watson, L.; Pearce, K.; Foster, J.T.; Bowers, J.; Driebe, E.M.; Engelthaler, D.M.; et al. Multidrug-resistant staphylococcus aureus in US meat and poultry. Clin. Infect. Dis. 2011, 52, 1227–1230. [Google Scholar] [CrossRef] [PubMed]
  15. Van Loo, I.; Huijsdens, X.; Tiemersma, E.; De Neeling, A.; Van De Sande-Bruinsma, N.; Beaujean, D.; Voss, A.; Kluytmans, J. Emergence of methicillin-resistant Staphylococcus aureus of animal origin in humans. Emerg. Infect. Dis. 2007, 13, 1834–1839. [Google Scholar] [CrossRef] [PubMed]
  16. Leibler, J.H.; Jordan, J.A.; Brownstein, K.; Lander, L.; Price, L.B.; Perry, M.J. Staphylococcus aureus nasal carriage among beefpacking workers in a Midwestern United States slaughterhouse. PLoS ONE 2016, 11, e0148789. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Ivbule, M.; Miklaševičs, E.; Čupane, L.; Berziņa, L.; Balinš, A.; Valdovska, A. Presence of methicillin-resistant Staphylococcus aureus in slaughterhouse environment, pigs, carcasses, and workers. J. Vet. Res. 2017, 61, 267–277. [Google Scholar] [CrossRef] [Green Version]
  18. Van Rijen, M.M.L.; Bosch, T.; Verkade, E.J.M.; Schouls, L.; Kluytmans, J.A.J.W. Livestock-associated MRSA carriage in patients without direct contact with livestock. PLoS ONE 2014, 9, e100294. [Google Scholar] [CrossRef] [Green Version]
  19. Larsen, J.; Petersen, A.; Sørum, M.; Stegger, M.; van Alphen, L.; Valentiner-Branth, P.; Knudsen, L.K.; Larsen, L.S.; Feingold, B.; Price, L.B.; et al. Meticillin-resistant Staphylococcus aureus CC398 is an increasing cause of disease in people with no livestock contact in Denmark, 1999 to 2011. Eurosurveillance 2015, 20, 30021. [Google Scholar] [CrossRef] [Green Version]
  20. Enright, M.C.; Day, N.P.J.; Davies, C.E.; Peacock, S.J.; Spratt, B.G. Multilocus sequence typing for characterization of methicillin-resistant and methicillin-susceptible clones of Staphylococcus aureus. J. Clin. Microbiol. 2000, 38, 1008–1015. [Google Scholar] [CrossRef] [Green Version]
  21. Enright, M.C.; Robinson, D.A.; Randle, G.; Feil, E.J.; Grundmann, H.; Spratt, B.G. The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA). Proc. Natl. Acad. Sci. USA 2002, 99, 7687–7692. [Google Scholar] [CrossRef] [Green Version]
  22. Schaumburg, F.; Alabi, A.S.; Peters, G.; Becker, K. New epidemiology of Staphylococcus aureus infection in Africa. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2014, 20, 589–596. [Google Scholar] [CrossRef] [Green Version]
  23. Lawal, O.U.; Ayobami, O.; Abouelfetouh, A.; Mourabit, N.; Kaba, M.; Egyir, B.; Abdulgader, S.M.; Shittu, A.O. A 6-Year Update on the Diversity of Methicillin-Resistant Staphylococcus aureus Clones in Africa: A Systematic Review. Front. Microbiol. 2022, 13, 860436. [Google Scholar] [CrossRef]
  24. Nyasinga, J.; Omuse, G.; John, N.; Nyerere, A.; Abdulgader, S.; Newton, M.; Whitelaw, A.; Revathi, G. Epidemiology of Staphylococcus aureus Infections in Kenya: Current State, Gaps and Opportunities. Open J. Med. Microbiol. 2020, 10, 204–221. [Google Scholar] [CrossRef]
  25. Kyany’a, C.; Nyasinga, J.; Matano, D.; Oundo, V.; Wacira, S.; Sang, W.; Musila, L. Phenotypic and genotypic characterization of clinical Staphylococcus aureus isolates from Kenya. BMC Microbiol. 2019, 19, 245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Aiken, A.M.; Mutuku, I.M.; Sabat, A.J.; Akkerboom, V.; Mwangi, J.; Scott, J.A.G.; Morpeth, S.C.; Friedrich, A.W.; Grundmann, H. Carriage of Staphylococcus aureus in Thika Level 5 Hospital, Kenya: A cross-sectional study. Antimicrob. Resist. Infect. Control 2014, 3, 22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Omuse, G.; Zyl, K.N.; Hoek, K.; Abdulgader, S.; Kariuki, S.; Whitelaw, A.; Revathi, G. Molecular characterization of Staphylococcus aureus isolates from various healthcare institutions in Nairobi, Kenya: A cross sectional study. Ann. Clin. Microbiol. Antimicrob. 2016, 15, 51. [Google Scholar] [CrossRef] [Green Version]
  28. Nyasinga, J.; Kyany’a, C.; Okoth, R.; Oundo, V.; Matano, D.; Wacira, S.; Sang, W.; Musembi, S.; Musila, L. A six-member SNP assay on the iPlex MassARRAY platform provides a rapid and affordable alternative for typing major African Staphylococcus aureus types. Access Microbiol. 2019, 1, e000018. [Google Scholar] [CrossRef]
  29. McCormick, J.K.; Yarwood, J.M.; Schlievert, P.M. Toxic shock syndrome and bacterial superantigens: An update. Annu. Rev. Microbiol. 2001, 55, 77–104. [Google Scholar] [CrossRef] [PubMed]
  30. Dinges, M.M.; Orwin, P.M.; Schlievert, P.M. Exotoxins of Staphylococcus aureus. Clin. Microbiol. Rev. 2000, 13, 16–34. [Google Scholar] [CrossRef]
  31. McGrath, B.; Rutledge, F.; Broadfield, E. Necrotising Pneumonia, Staphylococcus Aureus and Panton-Valentine Leukocidin. J. Intensive Care Soc. 2008, 9, 170–172. [Google Scholar] [CrossRef] [Green Version]
  32. Shallcross, L.J.; Fragaszy, E.; Johnson, A.M.; Hayward, A.C. The role of the Panton-Valentine leucocidin toxin in staphylococcal disease: A systematic review and meta-analysis. Lancet Infect. Dis. 2013, 13, 43–54. [Google Scholar] [CrossRef] [Green Version]
  33. Voyich, J.M.; Otto, M.; Mathema, B.; Braughton, K.R.; Whitney, A.R.; Welty, D.; Long, R.D.; Dorward, D.W.; Gardner, D.J.; Lina, G.; et al. Is Panton-Valentine leukocidin the major virulence determinant in community-associated methicillin-resistant Staphylococcus aureus disease? J. Infect. Dis. 2006, 194, 1761–1770. [Google Scholar] [CrossRef]
  34. Labandeira-Rey, M.; Couzon, F.; Boisset, S.; Brown, E.L.; Bes, M.; Benito, Y.; Barbu, E.M.; Vazquez, V.; Höök, M.; Etienne, J.; et al. Staphylococcus aureus Panton-Valentine leukocidin causes necrotizing pneumonia. Science 2007, 315, 1130–1133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Gillet, Y.; Issartel, B.; Vanhems, P.; Fournet, J.-C.; Lina, G.; Bes, M.; Vandenesch, F.; Piémont, Y.; Brousse, N.; Floret, D.; et al. Association between Staphylococcus aureus strains carrying gene for Panton-Valentine leukocidin and highly lethal necrotising pneumonia in young immunocompetent patients. Lancet 2002, 359, 753–759. [Google Scholar] [CrossRef] [PubMed]
  36. Breurec, S.; Zriouil, S.B.; Fall, C.; Boisier, P.; Brisse, S.; Djibo, S.; Etienne, J.; Fonkoua, M.C.; Perrier-Gros-Claude, J.D.; Pouillot, R.; et al. Epidemiology of methicillin-resistant Staphylococcus aureus lineages in five major African towns: Emergence and spread of atypical clones. Clin. Microbiol. Infect. 2011, 17, 160–165. [Google Scholar] [CrossRef] [PubMed]
  37. Holmes, A.; Ganner, M.; McGuane, S.; Pitt, T.L.; Cookson, B.D.; Kearns, A.M. Staphylococcus aureus isolates carrying panton-valentine leucocidin genes in England and Wales: Frequency, characterization, and association with clinical disease. J. Clin. Microbiol. 2005, 43, 2384–2390. [Google Scholar] [CrossRef] [Green Version]
  38. Adesiyun, A.A.; Lenz, W.; Schaal, K.P. Production of toxic shock syndrome toxin-1 (TSST-1) by Staphylococcus aureus strains isolated from humans, animals and foods in Nigeria. Microbiologica 1992, 15, 125–133. [Google Scholar] [PubMed]
  39. GoK. National Policy for the Prevention and Containment of Antimicrobial Resistance, Nairobi, Kenya: Government of Kenya, April 2017. 2017. Available online: https://www.health.go.ke/wp-content/uploads/2017/04/Kenya-AMR-Containment-Policy-_Final_April.pdf (accessed on 23 October 2022).
  40. Lucia Preoţescu, L.; Streinu-Cercel, O. Prevalence of nasal carriage of S aureus in children. Germs 2013, 3, 49–51. [Google Scholar] [CrossRef] [Green Version]
  41. Hassoun, A.; Linden, P.K.; Friedman, B. Incidence, prevalence, and management of MRSA bacteremia across patient populations-a review of recent developments in MRSA management and treatment. Crit. Care 2017, 21, 211. [Google Scholar] [CrossRef] [Green Version]
  42. Odetokun, I.A.; Ballhausen, B.; Adetunji, V.O.; Ghali-Mohammed, I.; Adelowo, M.T.; Adetunji, S.A.; Fetsch, A. Staphylococcus aureus in two municipal abattoirs in Nigeria: Risk perception, spread and public health implications. Vet. Microbiol. 2018, 216, 52–59. [Google Scholar] [CrossRef]
  43. Olalekan, A.O.; Schaumburg, F.; Nurjadi, D.; Dike, A.E.; Ojurongbe, O.; Kolawole, D.O.; Kun, J.F.; Zanger, P. Clonal expansion accounts for an excess of antimicrobial resistance in Staphylococcus aureus colonising HIV-positive individuals in Lagos, Nigeria. Int. J. Antimicrob. Agents 2012, 40, 268–272. [Google Scholar] [CrossRef]
  44. Nguyen, M.H.; Kauffman, C.A.; Goodman, R.P.; Squier, C.; Arbeit, R.D.; Singh, N.; Wagener, M.M.; Yu, V.L. Nasal carriage of and infection with Staphylococcus aureus in HIV-infected patients. Ann. Intern. Med. 1999, 130, 221–225. [Google Scholar] [CrossRef]
  45. Ouedraogo, A.S.; Dunyach-Remy, C.; Kissou, A.; Sanou, S.; Poda, A.; Kyelem, C.G.; Solassol, J.; Bañuls, A.L.; Van De Perre, P.; Ouédraogo, R.; et al. High nasal carriage rate of Staphylococcus aureus containing panton-valentine leukocidin- and EDIN-encoding genes in community and hospital settings in Burkina Faso. Front. Microbiol. 2016, 7, 1406. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Kraef, C.; Alabi, A.S.; Peters, G.; Becker, K.; Kremsner, P.G.; Rossatanga, E.G.; Mellmann, A.; Grobusch, M.P.; Zanger, P.; Schaumburg, F. Co-detection of Panton-Valentine leukocidin encoding genes and cotrimoxazole resistance in Staphylococcus aureus in Gabon: Implications for HIV-patients’ care. Front. Microbiol. 2015, 6, 60. [Google Scholar] [CrossRef] [Green Version]
  47. Vandenesch, F.; Naimi, T.; Enright, M.C.; Lina, G.; Nimmo, G.R.; Heffernan, H.; Liassine, N.; Bes, M.; Greenland, T.; Reverdy, M.E.; et al. Community-acquired methicillin-resistant staphylococcus aureus carrying panton-valentine leukocidin genes: Worldwide emergence. Emerg. Infect. Dis. 2003, 9, 978–984. [Google Scholar] [CrossRef] [PubMed]
  48. Van Cleef, B.A.G.L.; Broens, E.M.; Voss, A.; Huijsdens, X.W.; Züchner, L.; Van Benthem, B.H.B.; Kluytmans, J.A.J.W.; Mulders, M.N.; Van De Giessen, A.W. High prevalence of nasal MRSA carriage in slaughterhouse workers in contact with live pigs in the Netherlands. Epidemiol. Infect. 2010, 138, 756–763. [Google Scholar] [CrossRef] [PubMed]
  49. Wangai, F.K.; Masika, M.M.; Maritim, M.C.; Seaton, R.A. Methicillin-resistant Staphylococcus aureus (MRSA) in East Africa: Red alert or red herring? BMC Infect. Dis. 2019, 19, 596. [Google Scholar] [CrossRef]
  50. Kpeli, G.; Buultjens, A.H.; Giulieri, S.; Owusu-Mireku, E.; Aboagye, S.Y.; Baines, S.L.; Seemann, T.; Bulach, D.; da Silva, A.G.; Monk, I.R.; et al. Genomic analysis of ST88 communityacquired methicillin resistant Staphylococcus aureus in Ghana. PeerJ 2017, 2017, 3047. [Google Scholar] [CrossRef] [Green Version]
  51. Odetokun, I.A.; Afolaranmi, Z.M.; Nuhu, A.A.; Borokinni, B.O.; Ghali-Mohammed, I.; Cisse, H.; Alhaji, N.B. Knowledge and self-reported food safety practices among meat consumers in Ilorin, Nigeria. Dialogues Health 2022, 1, 100039. [Google Scholar] [CrossRef]
  52. Kemp, S.A.; Pinchbeck, G.L.; Fèvre, E.M.; Williams, N.J. A Cross-Sectional Survey of the Knowledge, Attitudes, and Practices of Antimicrobial Users and Providers in an Area of High-Density Livestock-Human Population in Western Kenya. Front. Vet. Sci. 2021, 8, 1070. [Google Scholar] [CrossRef]
  53. Roisin, S.; Nonhoff, C.; Denis, O.; Struelens, M.J. Evaluation of new Vitek 2 card and disk diffusion method for determining susceptibility of Staphylococcus aureus to oxacillin. J. Clin. Microbiol. 2008, 46, 2525–2528. [Google Scholar] [CrossRef] [Green Version]
  54. Conceição, T.; Coelho, C.; de Lencastre, H.; Aires-de-Sousa, M. Frequent occurrence of oxacillin-susceptible mecA-positive Staphylococcus aureus (OS-MRSA) strains in two African countries. J. Antimicrob. Chemother. 2015, 70, 3200–3204. [Google Scholar] [CrossRef]
  55. Boonsiri, T.; Watanabe, S.; Tan, X.E.; Thitiananpakorn, K.; Narimatsu, R.; Sasaki, K.; Takenouchi, R.; Sato’o, Y.; Aiba, Y.; Kiga, K.; et al. Identification and characterization of mutations responsible for the β-lactam resistance in oxacillin-susceptible mecA-positive Staphylococcus aureus. Sci. Rep. 2020, 10, 16907. [Google Scholar] [CrossRef] [PubMed]
  56. WHO. Guidelines on Post-Exposure Prophylaxis for HIV and the Use of Co-Trimoxazole Prophylaxis for HIV-Related Infections among Adults, Adolescents and Children: Recommendations for a Public Health Approach: Supplement to the 2013 Consolidated Guidelines on th [Internet]. 2014. Available online: https://apps.who.int/iris/handle/10665/145719 (accessed on 23 October 2022).
  57. Aslam, B.; Khurshid, M.; Arshad, M.I.; Muzammil, S.; Rasool, M.; Yasmeen, N.; Shah, T.; Chaudhry, T.H.; Rasool, M.H.; Shahid, A.; et al. Antibiotic Resistance: One Health One World Outlook. Front. Cell. Infect. Microbiol. 2021, 11, 1153. [Google Scholar] [CrossRef] [PubMed]
  58. Marbou, W.J.T.; Kuete, V. Bacterial resistance and immunological profiles in HIV-infected and non-infected patients at Mbouda AD LUCEM Hospital in Cameroon. J. Infect. Public Health 2017, 10, 269–276. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Günthard, H.F.; Saag, M.S.; Benson, C.A.; Del Rio, C.; Eron, J.J.; Gallant, J.E.; Hoy, J.F.; Mugavero, M.J.; Sax, P.E.; Thompson, M.A.; et al. Antiretroviral drugs for treatment and prevention of HIV infection in Adults: 2016 recommendations of the international antiviral society-USA Panel. JAMA—J. Am. Med. Assoc. 2016, 316, 191–210. [Google Scholar] [CrossRef] [Green Version]
  60. Cook, E.A.J.; De Glanville, W.A.; Thomas, L.F.; Kariuki, S.; de Clare Bronsvoort, B.M.; Fèvre, E.M. Working conditions and public health risks in slaughterhouses in western Kenya. BMC Public Health 2017, 17, 14. [Google Scholar] [CrossRef] [Green Version]
  61. Smith, D.L.; Harris, A.D.; Johnson, J.A.; Silbergeld, E.K.; Morris, J.G. Animal antibiotic use has an early but important impact on the emergence of antibiotic resistance in human commensal bacteria. Proc. Natl. Acad. Sci. USA 2002, 99, 6434–6439. [Google Scholar] [CrossRef] [Green Version]
  62. WHO. WHO Global Strategy for Containment of Antimicrobial Resistance; WHO: Geneva, Switzerland, 2001. [Google Scholar]
  63. Seppälä, H.; Klaukka, T.; Vuopio-Varkila, J.; Muotiala, A.; Helenius, H.; Lager, K.; Huovinen, P. The effect of changes in the consumption of macrolide antibiotics on erythromycin resistance in group A streptococci in Finland. Finnish Study Group for Antimicrobial Resistance. N. Engl. J. Med. 1997, 337, 441–446. [Google Scholar] [CrossRef]
  64. Fèvre, E.M.; de Glanville, W.A.; Thomas, L.F.; Cook, E.A.J.; Kariuki, S.; Wamae, C.N. An integrated study of human and animal infectious disease in the Lake Victoria crescent small-holder crop-livestock production system, Kenya. BMC Infect. Dis. 2017, 17, 457. [Google Scholar] [CrossRef] [Green Version]
  65. Ligozzi, M.; Bernini, C.; Bonora, M.G.; De Fatima, M.; Zuliani, J.; Fontana, R. Evaluation of the VITEK 2 system for identification and antimicrobial susceptibility testing of medically relevant gram-positive cocci. J. Clin. Microbiol. 2002, 40, 1681–1686. [Google Scholar] [CrossRef] [Green Version]
  66. CLSI. Performance Standards for Antimicrobial Sensitivity Testing. CLSI Supplement M100, 29th ed.; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2019. [Google Scholar]
  67. Wang, M.; Wei, H.; Zhao, Y.; Shang, L.; Di, L.; Lyu, C.; Liu, J. Analysis of multidrug-resistant bacteria in 3223 patients with hospital-acquired infections (HAI) from a tertiary general hospital in China. Bosn. J. Basic Med. Sci. 2019, 19, 86–93. [Google Scholar] [CrossRef]
  68. Magiorakos, A.-P.; Srinivasan, A.; Carey, R.B.; Carmeli, Y.; Falagas, M.E.; Giske, C.G.; Harbarth, S.; Hindler, J.F.; Kahlmeter, G.; Olsson-Liljequist, B.; et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin. Microbiol. Infect. 2012, 18, 268–281. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Falagas, M.E.; Koletsi, P.K.; Bliziotis, I.A. The diversity of definitions of multidrug-resistant (MDR) and pandrug-resistant (PDR) Acinetobacter baumannii and Pseudomonas aeruginosa. J. Med. Microbiol. 2006, 55, 1619–1629. [Google Scholar] [CrossRef] [Green Version]
  70. Kondo, Y.; Ito, T.; Ma, X.X.; Watanabe, S.; Kreiswirth, B.N.; Etienne, J.; Hiramatsu, K. Combination of multiplex PCRs for staphylococcal cassette chromosome mec type assignment: Rapid identification system for mec, ccr, and major differences in junkyard regions. Antimicrob. Agents Chemother. 2007, 51, 264–274. [Google Scholar] [CrossRef] [Green Version]
  71. Lina, G.; Piémont, Y.; Godail-Gamot, F.; Bes, M.; Peter, M.O.; Gauduchon, V.; Vandenesch, F.; Etienne, J. Involvement of Panton-Valentine leukocidin-producing Staphylococcus aureus in primary skin infections and pneumonia. Clin. Infect. Dis. 1999, 29, 1128–1132. [Google Scholar] [CrossRef] [PubMed]
  72. Jarraud, S.; Mougel, C.; Thioulouse, J.; Lina, G.; Meugnier, H.; Forey, F.; Nesme, X.; Etienne, J.; Vandenesch, F. Relationships between Staphylococcus aureus genetic background, virulence factors, agr groups (alleles), and human disease. Infect. Immun. 2002, 70, 631–641. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Jolley, K.A.; Bray, J.E.; Maiden, M.C.J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 2018, 3, 124. [Google Scholar] [CrossRef]
  74. Coll, F.; Raven, K.E.; Knight, G.M.; Blane, B.; Harrison, E.M.; Leek, D.; Enoch, D.A.; Brown, N.M.; Parkhill, J.; Peacock, S.J. Definition of a genetic relatedness cutoff to exclude recent transmission of meticillin-resistant Staphylococcus aureus: A genomic epidemiology analysis. Lancet Microbe 2020, 1, e328–e335. [Google Scholar] [CrossRef]
  75. Richardson, E.J.; Bacigalupe, R.; Harrison, E.M.; Weinert, L.A.; Lycett, S.; Vrieling, M.; Robb, K.; Hoskisson, P.A.; Holden, M.T.G.; Feil, E.J.; et al. Gene exchange drives the ecological success of a multi-host bacterial pathogen. Nat. Ecol. Evol. 2018, 2, 1468–1478. [Google Scholar] [CrossRef]
  76. Yu, G. Using ggtree to Visualize Data on Tree-Like Structures. Curr. Protoc. Bioinform. 2020, 69, e96. [Google Scholar] [CrossRef]
  77. Xu, S.; Dai, Z.; Guo, P.; Fu, X.; Liu, S.; Zhou, L.; Tang, W.; Feng, T.; Chen, M.; Zhan, L.; et al. GgtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data. Mol. Biol. Evol. 2021, 38, 4039–4042. [Google Scholar] [CrossRef]
Antibiotics 11 01726 g001 550
Figure 1. Core genome phylogenetic tree and antibiogram of MSSA and MRSA isolates colonizing abattoir workers in western Kenya. Predominant ST types are differentiated by colour, MRSA isolates are indicated by a triangle symbol and MSSA by circles. Phenotypic antimicrobial resistance is indicated by dark grey bars (resistant), white bars (intermediate), and light grey (susceptible). Antimicrobials: PEN—benzylpenicillin, CEF—cefoxitin, OXA—oxacillin, CIP—ciprofloxacin, ERY—erythromycin, CHL—chloramphenicol, DAP—daptomycin, FUS—fusidic acid, GEN—gentamicin, LZD- linezolid, NIT—nitrofurantoin, RIF—rifampicin, TEI—teicoplanin, TET—tetracycline, TMP—trimethoprim, VAN—vancomycin, CLI—clindamycin.
Figure 1. Core genome phylogenetic tree and antibiogram of MSSA and MRSA isolates colonizing abattoir workers in western Kenya. Predominant ST types are differentiated by colour, MRSA isolates are indicated by a triangle symbol and MSSA by circles. Phenotypic antimicrobial resistance is indicated by dark grey bars (resistant), white bars (intermediate), and light grey (susceptible). Antimicrobials: PEN—benzylpenicillin, CEF—cefoxitin, OXA—oxacillin, CIP—ciprofloxacin, ERY—erythromycin, CHL—chloramphenicol, DAP—daptomycin, FUS—fusidic acid, GEN—gentamicin, LZD- linezolid, NIT—nitrofurantoin, RIF—rifampicin, TEI—teicoplanin, TET—tetracycline, TMP—trimethoprim, VAN—vancomycin, CLI—clindamycin.
Antibiotics 11 01726 g001
Table
Table 1. Prevalence of MSSA and MRSA isolated from Abattoir workers in Busia County.
Table 1. Prevalence of MSSA and MRSA isolated from Abattoir workers in Busia County.
HIV-StatusNumber of S. aureus Isolates
(Number of MRSA)		Number of Workers Who Yielded Staph. aureus
(%, 95% Confidence Interval)		Number of Workers Carrying MRSA Isolates
(%, 95%CI)		Number of Workers Carrying MSSA Isolates
(%, 95%CI)
HIV-positive (n = 89)27 (1)24
(27.0%, 95%CI 18.9–37.1) 		1
(1.1%, 95%CI 0.3–6.0)		23
(25.8%, 95%CI 18.0–26.0)
HIV-negative (n = 648)99 (2)94
(14.5%, 95%CI 11.9–17.4)		2
(0.3%, 95%CI 0.1–1.1)		92
(14.2%, 95%CI 11.7–17.1)
Total abattoir workers (n = 737)126 (3)118
(16.0%, 95%CI 13.5–29.0)		3
(0.4%, 95%CI 0.1–1.2)		115
(15.6%, 95%CI 13.1–18.3)
Table
Table 2. Prevalence of antibiotic resistant Staph. aureus carriage among HIV-positive and HIV-negative abattoir workers in Busia County.
Table 2. Prevalence of antibiotic resistant Staph. aureus carriage among HIV-positive and HIV-negative abattoir workers in Busia County.
Total Number of Isolates n = 126 (%)Isolates from HIV-Positive Workers n = 27 (%)Isolates from HIV-Negative Workers n = 99 (%)Chi2 Test
Sulfamethoxazole/trimehoprim resistance16 (12.7)10 (37.0)6 (6.1)Chi2 = 18.098, df = 1, p <0.001
Penicillin123 (97.6)26 (100)96 (97.0)NA
Trimethoprim81 (64.3)21 (77.8)60 (60.6)Chi2 = 2.712, df = 1, p = 0.100
Cefoxitin2 (1.6%)1 (3.7)2 (2.0)Chi2 = 0.263, df = 1, p = 0.608
Tetracycline33 (26.2)10 (37.0)23 (23.2)Chi2 = 2.075, df = 1, p = 0.150
Erythromycin4 (3.2)2 (7.4)2 (2.0)Chi2 = 2.007, df = 1, p = 0.157
Inducible resistance to clindamycin4 (3.2)2 (7.4)2 (2.0)Chi2 = 2.007, df = 1, p = 0.157
Gentamicin2 (1.6)02 (2.0)NA
Ciprofloxacin2 (1.6)2 (7.4)0NA
Oxacillin1 (0.8)01 (1.0)NA
Linezolid1 (0.8)0 1 (1.0)NA
Panton Valentine Leukocidin gene54 (42.9)10 (37.0)44 (44.4)Chi2 = 0.471, df = 1, p = 0.493
Toxic shock syndrome toxin-1 gene15 (11.9)1 (3.7)14 (14.1)Chi2 = 2.176, df = 1, p = 0.140
Multidrug-resistant34 (27.0)9 (33.3)25 (25.3)Chi2 =0.683, df = 1, p = 0.409
Trimethoprim-Penicillin-Tetracycline MDR28 (22.2)8 (29.6)20 (20.2)Chi2 = 1.076, df = 1, p = 0.230
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Obanda, B.A.; Gibbons, C.L.; Fèvre, E.M.; Bebora, L.; Gitao, G.; Ogara, W.; Wang, S.-H.; Gebreyes, W.; Ngetich, R.; Blane, B.; et al. Multi-Drug Resistant Staphylococcus aureus Carriage in Abattoir Workers in Busia, Kenya. Antibiotics 2022, 11, 1726. https://doi.org/10.3390/antibiotics11121726

AMA Style

Obanda BA, Gibbons CL, Fèvre EM, Bebora L, Gitao G, Ogara W, Wang S-H, Gebreyes W, Ngetich R, Blane B, et al. Multi-Drug Resistant Staphylococcus aureus Carriage in Abattoir Workers in Busia, Kenya. Antibiotics. 2022; 11(12):1726. https://doi.org/10.3390/antibiotics11121726

Chicago/Turabian Style

Obanda, Benear Apollo, Cheryl L. Gibbons, Eric M. Fèvre, Lilly Bebora, George Gitao, William Ogara, Shu-Hua Wang, Wondwossen Gebreyes, Ronald Ngetich, Beth Blane, and et al. 2022. "Multi-Drug Resistant Staphylococcus aureus Carriage in Abattoir Workers in Busia, Kenya" Antibiotics 11, no. 12: 1726. https://doi.org/10.3390/antibiotics11121726

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop