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Journal of Drug Delivery and Therapeutics

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Open Access  Full Text Article                                                                                       image                                                        Research Article 

Comparison of Antibiotic-Resistant Pattern of Extended Spectrum Beta-Lactamase and Carbapenem-Resistant Escherichia Coli Isolates from Clinical and Non-Clinical Sources

Itoro Sunday Joseph1 , Ijeoma Onyinye Okolo2 , Evangeline Chinyere Udenweze3 , Chinenye Emelda Nwankwo 4, 5 , Ikemesit Udeme Peter 6* , Ifeoma Precious Ogbonna7 , Ifeanyichukwu Romanus Iroha  

Department of Applied Microbiology, Faculty of Science, Ebonyi State University, Abakaliki, P.M.B. 53, Nigeria 

Department of Applied Science, Faculty of Pure and Applied Science, Federal College of Dental Technology and Therapy, Trans Ekulu, P.M.B. 01473, Enugu, Nigeria.

Department of Industrial Microbiology and Brewery, Faculty of Bioscience, Nnamdi Azikiwe University, Awka, Anambra, P. M. B. 5025, Nigeria

4Department of Applied Microbiology and Brewery, Faculty of Bioscience, Nnamdi Azikiwe University, Awka, Anambra, P. M. B. 5025, Nigeria

Department of Antiretroviral Treatment, Federal Medical Centre, Onitsha, Anambra, P. M. B. 430213, Nigeria

Department of Public Health, Faculty of Health Technology and Engineering, Federal College of Dental Technology and Therapy, Trans-Ekulu, P.M.B. 01473, Enugu, Nigeria.

7 Department of Microbiology and Parasitology, David Umahi Federal University of Health Science, Uburu, Ebonyi State, Nigeria.

Article Info:

_____________________________________________

Article History:

Received 19 May 2023      

Reviewed  14 June 2023

Accepted 28 June 2023  

Published 15 July 2023  

_____________________________________________

Cite this article as: 

Joseph IS, Okolo IO, Udenweze EC, Nwankwo CE, Peter IU, Ogbonna IP, Iroha IR, Comparison of Antibiotic-Resistant Pattern of Extended Spectrum Beta-Lactamase and Carbapenem-Resistant Escherichia Coli Isolates from Clinical and Non-Clinical Sources, Journal of Drug Delivery and Therapeutics. 2023; 13(7):107-118

DOI: http://dx.doi.org/10.22270/jddt.v13i7.5918                                  _____________________________________________

*Address for Correspondence:  

Ikemesit Udeme Peter, Department of Public Health, Faculty of Health Technology and Engineering, Federal College of Dental Technology and Therapy, Trans-Ekulu, P.M.B. 01473, Enugu, Nigeria.

Abstract

_____________________________________________________________________________________________________________________

The increasing rate of antibiotic resistance among E. coli especially those mediated by extended spectrum beta-lactamases and carbapenem-resistant (CR) presents a major threat to public health and healthcare delivery globally. The aim of this research was to compare the antibiotic resistant pattern of extended spectrum beta-lactamase and carbapenem-resistant Escherichia coli isolates from clinical and non-clinical sources. A total of two hundred and fifteen (215) clinical and non-clinical samples were collected for the study. The collected samples were analysis using Standard Microbiological protocol for isolation and identification. Phenotypic detection of ESBL Production and carbapenem resistant was performed using Double Disk Synergy Test (DDST) and Modified Hodge Test (MHT) respectively. Antibiogram studies of ESBL producing and Carbapenem-resistant E. coli was determined using the Kirby–Bauer disk diffusion method. The result of isolation and characterization revealed higher occurrence rate of clinical isolates of E. coli  66.1 % over non-clinical sample 54.0%. Phenotypic ESBL screening of isolated E. coli revealed overall detection rate of 35(30.4 %) and 13(13.0 %) in clinical and non-clinical source respectively while overall detection rate of carbapenem resistant ESBL producers accounted 9.6 % and 8.0 % in clinical and non-clinical isolates respectively. The isolates exhibited high percentage of resistance to nitrofurantion 100 %, cefepime 100 % colistin 66.7 %, amikacin 50.0 % and also exhibit MDR with MARI value of ≥ 0.5. Comparison of antibiotic resistant pattern of carbapenem-resistant extended spectrum beta-lactamase producing E. coli isolates from clinical and non-clinical sources showed no statistical significant difference P-value < 0.05 but were 100 % susceptible to ciprofloxacin and gentamicinThe pattern of similar MDR portrayed by clinical and non-clinical isolate should not be overlooked due to its hyper-motility and virulence domination leading to possible AMR transfer to other bacterial organisms and also, appropriate measures such as pretreatment of animal excrement before being used as fertilizers and the quality of irrigation water, hospital effluent discharge need to be taken into consideration to prevent the spread of resistant determinant.

Keywords: Escherichia coliExtended Spectrum Beta-Lactamase, Carbapenem-Resistant, clinical, non-clinical

 


 

  1. INTRODUCTION

Escherichia coli is a member of normal gut microbiota, some isolates are pathogenic and may cause diarrhea and extra-intestinal disorders in humans 1. (El-Shaer et al., 2021) E. coli can be classified into three subtypes from human health perspective 1, 2.  (El-Shaer et al., 2021; Roussel et al., 2017) First, commensal isolates colonizing the gut of healthy individuals. The second one is the diarrheagenic (DEC) isolates that cause diarrhea and differs according to strain virulence 2. (Roussel et al., 2017). Finally, extraintestinal pathogenic E. coli (ExPEC) are similar to commensal ones in colonizing the human gut, but they can survive well in extra-intestinal environments causing serious human diseases 1, 2. (Roussel et al., 2017; El-Shaer et al., 2021).

The pathogenic behavior of a bacterial strain can be determined by assessing the virulence factor (VFs) collection and/or the phylogenetic background. E. coli is classified into eight phylogroups: A, B1, B2, C, D, E, F, and Escherichia cryptic clade I depending on the new quadruplex PCR-based method 3. (Clermont et al., 2013). Genetically, ExPEC carries many virulence factor which allow them to avoid or subvert host defenses, colonize within anatomical sites, and/or induce host inflammatory response, thereby causing a disease status 1. (El-Shaer et al., 2021). These VFs form clusters named pathogenicity-associated island markers (PAIs) located in chromosome and/or plasmids 4. (Sabate et al., 2006). The PAIs contribute to the transmission of many genes that help bacteria survive and cause diseases.

The development of antimicrobial resistance in E. coli is one of the biggest challenges in public health 5.  (World Health Organization, 2014). E. coli exhibits resistance to variable antibiotics, mainly extended-spectrum β-lactams (ESBLs) and carbapenem. ESBLs producers are isolates that are resistant to penicillins and cephalosporins 6. (Ingti et al., 2020). They were observed either as variants of TEM and SHV or the CTX-M enzyme. It is more prevalent in environmental (non-clinical) isolates suggesting that the environment is a reservoir of ESBL-producers 7. (Doi et al., 2017). This is a major contributor to increased antibiotic load, increased therapeutic cost, poor health outcomes, and limited therapeutic choices 8. (Saleem et al., 2017).

Carbapenemase producers are isolates with resistance to cephamycins and carbapenems via the expression of a variety of genes including KPC, OXA-48, IMP, VIM, and NDM 9, 10, 11. (Nordmann et al., 2011; Ogba et al., 2022a; Nomeh et al., 2023). The intestinal microbiota, feces, and rectal swabs are all typical reservoirs of carbapenemase production in hospital settings 12.  (Vila et al., 2016). In addition, several studies have reported that these species harbours clinically important carbapenemase encoding resistant genes such as blaKPC, blaVIM, blaIMP, blaNDM and blaOXA-48 13, 14.  (Tshitshi et al., 2020; Solgi et al., 2020). Given the fact that carbapenem antibiotics are considered as the last resort for treating infections caused by ESBL-producing strains. Presence of carbapenemase and ESBL genes in E. coli strains coupled with lack of new therapeutic option is cause for concern 13, 15. (Teixeira et al., 2020; Tshitshi et al., 2020).

Only a few antibiotics (e.g. carbapenems, colistin, tigecycline) are available to treat infection caused by ESBL-producing bacteria, although the in vivo efficacy and/or toxicity of these drugs is not well known 16, 17, 18(Giamarellou, 2006; Morrill et al., 2015; Teklu et al., 2019). Resistance accumulation and dissemination in clinical and environmental E. coli underlined the necessity of developing suitable strategies to tackle antimicrobial resistance, where it is difficult to anticipate the development of novel antimicrobial agents.

  1. METHODS

2.1 Sample Collection, Culture and Identification

A total of two hundred and fifteen (215) clinical and non-clinical samples were collected for the study. A total of one hundred (100) samples including water sources [bore-hole water (10) and well water (10)] from College of agricultural studies (CAS) and Presco campus while selected edible vegetable (Tomatoes [20], Scent leaf [20], Garden egg leaf [10] and Carrot [15]) were collected from Hausa Quarters and International market vendors was sampled from Abakaliki metropolis for the study. A total of one hundred and fifteen (115) clinical samples were collected comprising of early morning mid-stream urine (70), wound swab (25) and pus (25) from patients attending Alex Ekwueme Federal University Teaching Hospital, Abakaliki (AE-FEUTHA) were collected in a sterile sample container

Aseptically, a loopful of the collected clinical sample of urine, wound and pus swab samples were separately inoculated and suspended in a sterile nutrient broth (Hi media Co., India) and incubated aerobically at 37 °C for 24 hrs. After overnight incubation, turbid broth culture of clinical sample was streaked on solidified MacConkey agar (Hi media Co., India). The plates were incubated aerobically for 24 hrs at 37℃. Bacterial colonies with pinkish coloration on overnight MacConkey agar (Hi media Co., India) for clinical sample were infer as the presence Escherichia coli. Discrete colonies were purified by plating onto nutrient agar (Hi media Co., India). The sub-cultured plates were incubated at 37℃ for 24 hrs. Exactly, 10 grams of the each selected edible vegetable from market vendors was rinsed in 100 ml milliliter volume of sterile water. Thereafter, 10-10 folds’ serial dilution was carried out. Exactly 0.5ml of dilution factor three for each randomly rinsed and serially diluted selected edible vegetable samples were spread plated on plate count agar and incubate at 37 °C for 24 hrs. After 24 hrs of incubation, colonies were counted using Colony counter (Bioevopeak Co., Ltd., China) and a loopful of each colony were aseptically streaked on solidified eosin methylene blue agar plate. The plates were incubated aerobically for 18-24 hrs at 37℃. Bacterial colonies with greenish-metallic sheen on eosin methylene blue agar plate for non-clinical samples were infer as the presence Escherichia coli 19. (Cheesbrough, 2006). Discrete colonies were purified by plating onto nutrient agar (Hi media Co., India). Both clinical and non-clinical bacteria sub-cultured plates were incubated at 37℃ for 24 hrs. Standard microbiological techniques for identification of pure culture strain was performed using Vitex 2 automated system (BIOMERIEUX, U.S.A).

2.2 Screening of the Escherichia coli from clinical and non-clinical source with 2nd and 3rd Generation Cephalosporin

This test was performed using the modified Kirby-Bauer disc diffusion method on Mueller‑Hinton agar (Hi media Co., India) as described by the Clinical and Laboratory Standards Institute 20. (CLSI, 2019) guidelines. The Modified Kirby‑Bauer standardized disc diffusion testing was performed using the direct colony suspension method. A suspension was made from a 24-hour growth of the test organisms (from clinical and non-clinical source) in sterile water to match the 0.5 McFarland turbidity standard. This was seeded on the entire surface of solidified Mueller‑Hinton agar plate. The following 2nd and 3rd generation Cephalosporin; cefuroxime (30 µg), cefotetan (30 µg), cefoxitin (30 µg), ceftazidime (30 μg), ceftriaxone (30 μg), cefotaxime (30 µg) (Oxoid, UK) was impregnated aseptically and incubated at 37℃ overnight. Any of the isolate that showed reduce susceptibility to any of the 2nd and 3rd generation cephalosporin was subjected to ESBL screening according to the guidelines of Clinical and Laboratory Standards Institute 20.  (CLSI, 2019). 

2.3 Phenotypic Detection of Extended‑spectrum beta‑lactamase Escherichia coli

2.3.1         Double-disk Synergy Method

An Aliquot of 0.5 MacFarland equivalent standard of the test bacteria was seeded on a sterile solidified Mueller-Hinton agar (Hi media Co., India) using a sterile swab stick. After 15 minutes of pre-diffusion, a disc containing 30 μg amoxicillin–clavulanic acid (Oxoid, Uk) was placed at the centre of the agar plate, ceftazidime (30 μg) disc and cefotaxime (30 μg) disc (Oxoid, Uk) was placed 15 mm apart from the centre disc. The plates were incubated at 37℃ overnight. ESBL-positive strains were inferred by the expansion of the zone of inhibition of either cephalosporin in the presence of clavulanate than in its absence giving a dumbbell shape. This expansion occurred because the clavulanic acid present in the Augmentin disc inactivated the ESBL produced by the test organism 13, 19,  (Tshitshi et al., 2020; CLSI, 2019).

2.4 Phenotypic Detection of carbapenem resistant Escherichia coli

The isolates were screened for carbapenem resistance using Kirby–Bauer disc diffusion method. The turbidity of the cultures was adjusted to 1x106 CFU/mL (equivalent to 0.5 McFarland standard). An aliquot was seeded on a sterile solidified Mueller-Hinton agar (Hi media Co., India) using a sterile swab stick. After 15 minutes of pre-diffusion Four carbapenem antibiotic discs: imipenem (IPM, 10 µg), ertapenem (ETP, 10 µg), meropenem (MEM, 10 µg and doripenem (DOR, 10 µg g) (Oxoid, Uk) was placed on inoculated plates. The plates were incubated at 37℃ for 24 h. The results were interpreted using Clinical Laboratory Standards Institute and CLSI guidelines 20. (2019). Colonies of all the isolates showing intermediate or resistant phenotypes to one of the three tested antibiotics was further be subjected to Modified Hodge Test to confirm their ability to produce carbapenemase 21, 22. (Nomeh et al., 2022; Ogba et al., 2022b).

  1. Modified Hodge Test

A 10 µg meropenem or ertapenem susceptibility disk was placed in the center of the test area. Test organism was streaked in a straight line from the edge of the disk to the edge of the plate. The plate was incubated overnight at 37℃ in ambient air for 16–24 hours. After 24 hrs, MHT Positive test showed a clover leaf-like indentation of the Escherichia coli streak within the disk diffusion zone. MHT Negative test showed no growth of a clover leaf-like indentation within the diffusion disk 21, 22. (Nomeh et al., 2022; Ogba et al., 2022b).

2.6 Antibiotic Susceptibility Testing 

This test was performed using the modified Kirby-Bauer disc diffusion method on Mueller-Hinton agar (Hi media Co., India) as described by the Clinical and Laboratory Standards Institute 20. (CLSI, 2019) guidelines. The Modified Kirby-Bauer standardized disc diffusion testing was performed using the direct colony suspension method. A suspension was made from a 24-hour growth of the test organisms in sterile water to match the 0.5 McFarland turbidity standard. This was swabbed on the entire surface of solidified Mueller-Hinton agar plate. The following antibiotic discs with potencies were used: amikacin (15 μg), azetronam (30 μg), ceftriaxone (30 μg), cefepime (30 μg), colistin (10 μg), gentamicin (15 μg), ciprofloxacin (5 μg), nitrofurantoin (100 μg) (Oxoid, UK). The Mueller-Hinton agar plate was incubated at (35°C–37°C) for 18–24 hour, after which the diameter of the zones of growth inhibition around the discs was measured with a meter rule. These results were further interpreted using the Performance Standards for Antimicrobial Susceptibility Testing 20, 23. (CLSI, 2019; Akpu et al., 2023).

2.4.1 Determination of Multiple Antibiotic Resistance (MAR) index

Multiple antibiotic resistance (MAR) index was determined as the ratio of the number of antibiotics to which isolate showed resistance to the number of antibiotics to which the isolate was exposed, using the following formula:

MARI = X/Y; where ‘X’ is the number of antimicrobial agents which bacteria revealed resistance while ‘Y’ is the total number of antimicrobial agents tested 24. (Peter et al., 2022).

2.6 Statistical analysis

Graph Pad Prism software package (version 5.01) was used for statistical analysis of the data applying One-Way ANOVA test (Including Turkey HSD) for Comparison of antibiotic resistant pattern of carbapenem resistant extended spectrum beta-lactamase Escherichia coli Isolates from clinical and non-clinical sources. The level of significance was set at a p-value < 0.05.

3. RESULTS

3.1 Results

The proportion of Escherichia coli in clinical sample accounted for 76 (66.1 %) comprising of high occurrence rate in urine 70.0 %, followed by Wound swab 64. 0% while low occurrence rate of 55.0 % in Pus sample was recorded as presented in Table 1. 

Total bacteria count of non-clinical sample accounted for 14.9 x10Cfu/ml as borehole water had high proportion of bacteria count of 2.7 x103 Cfu/ml followed by Scent leaf 2.6 x10Cfu/ml while the least bacteria count of 1.8 x103 Cfu/ml was observed in Garden egg leaf as presented in Table 2.

Escherichia coli from non-clinical sample accounted for overall prevalence rate of 54.0% comprising of high proportion of Escherichia coli 80.0 % in Garden egg leaf followed by Scent leaf 70.0 %, Well water 60.0 %, Borehole water 50.0 % while least isolation rate of 33.3 % was in Uziza leaf as shown in Table 3.

In clinical samples, extended spectrum beta-lactamase producing Escherichia coli were highly predominant in Pus sample 50.0 % followed by Wound swab 28.0 % while the least proportion was found in Urine 25.7 %. ESBL producing Escherichia coli accounted overall detection rate of 35(30.4 %) while Non-ESBL producer recorded 35.7 % as shown in Table 4.

ESBL producer in non-clinical samples accounted for high prevalence rate of 13(13.0 %) consisting of 30.0 %, 20.0%, 20.0% and 10.0 % from scent leaf, tomatoes, borehole water and well water respectively while non–ESBL accounted for 41.0 % as presented in Table 5.

In clinical sample, carbapenem resistant ESBL producing Escherichia coli were highly predominant in Wound sample 16.0 % followed by Pus sample 10.0 % and Urine 7.1 % while overall detection rate of carbapenem resistant ESBL producers and carbapenem susceptible strain accounted for 9.6 % and 20.9 % as presented in Table 6.

Carbapenemase Susceptible. CR ESBL producer in non-clinical samples accounted for high prevalence rate of 8(8.0 %) consisting of 20.0%, 15.0 %, 10.0 % and 1.0 % from Borehole water, Tomatoes, well water and Scent leaf respectively while non–CPS ESBL strain accounted for 5.0 % as presented in Table 7.

Carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli from urine exhibit high level of resistance to azetronam 100 %, cefepime 100 %, nitrofurantoin 100 %, amikacin 80.0 %, ceftriaxone 80.0 % but were susceptible to colistin 60.0 %, ciprofloxacin 80.0 % and gentamicin 80.0 % as presented in Table 8. Also, CR ESBL producing Escherichia coli from wound were sensitive to colistin 50.0%, gentamicin 100 % and ciprofloxacin 100 % while majority of the isolate were highly resistant to cefepime 100%, ceftriaxone 100%, amikacin 100% and azetronam 100%. CR extended spectrum beta-lactamase producing Escherichia coli isolated from Pus sample were highly resistant to nitrofurantoin 100 %, azetronam 100 %, ceftriaxone 100 %, colistin 100 %, but were susceptible to amikacin 50.0 %, gentamicin 100 %, and ciprofloxacin 100 %.

Majority of the strain from tomatoes sample were extremely resistant to nitrofurantoin 100 %, azetronam 100 %, ceftriaxone 100 %, but were susceptible to colistin 33.3 %, amikacin 33.3 %, gentamicin 100 % and ciprofloxacin 100 %. Strain isolated from Scent leaf demonstrated resistant to   cefepime 100 %, azetronam 100 %, colistin 100 %, ceftriaxone 100 % but were sensitive to amikacin 50.0 %, gentamicin 100 % and ciprofloxacin 100 % as shown in Table 9. Antibiotic Susceptibility profile of CR extended spectrum beta-lactamase producing Escherichia coli isolated from borehole water displayed 100% resistant to amikacin, azetronam, ceftriaxone, nitrofurantoin but were highly sensitive to ciprofloxacin, gentamicin and colistin recording 100 %, 100 % and 50.0 % respectively. Majority of CPR strain from well water were extremely resistant to colistin 100 %, cefepime 100 %, azetronam 100 %, nitrofurantoin 100 % but were susceptible to gentamicin, amikacin and ciprofloxacin recording 100 % respectively as presented in Table 9.

Comparison of antibiotic resistant pattern of carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli isolates from clinical and non-clinical sources showed no statistical significant difference p-value 0.05 i.e., the both isolate had similar pattern of resistant to the test antibiotic as presented in Table 10. Multiple Antibiotic Resistant Index of Carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli from non-clinical sample revealed.   MAR index value of 0.5, 0.7, 0.7 and 0.5 among strains isolated from tomatoes, scent leaf, borehole water and well water as presented in Table 10. Among clinical sample, carbapenem resistant in extended spectrum beta-lactamase producing Escherichia coli demonstrated multiple antibiotic resistant index of 0.6, 0.5 and 0.7 recorded in strains recovered from Urine, wound sample and Pus sample respectively as shown in Table 11.


 

 

Table 1: Distribution of Escherichia coli in clinical sample 

Clinical Sample

No. of sample

Escherichia coli (%)

Urine

70

49(70.0)

Wound swab

25

16(64.0)

Pus

20

11(55.0)

Total

115

76(66.1)

                                                

Table 2: Total Bacteria count of non-clinical sample 

Location

Samples

No. of colonies

Cfu/ml

International Market

 

 

 

 

Tomatoes

107

2.1 x103

 

Scent leaf

79

1.5 x103

 

Uziza leaf

134

2.6 x103

 

Garden egg leaf

91

1.8 x103

Hausa Quarters

 

 

 

 

Carrot

104

2.0 x103

CAS

 

 

 

 

Borehole water

139

2.7 x103

Presco

Well water

110

2.2 x103

Total Bacteria count

 

764

14.9 x103

Key: Cfu-Colony Forming Unit, ml-Milligram, CAS-Campus for Administrative Studies

Table 3: Distribution of Escherichia coli from non-clinical sample 

Location

Sample

No. of sample

E. coli (%)

International Market

 

 

 

 

Tomatoes

20

9(45.0)

 

Scent leaf

20

14(70.0)

 

Uziza leaf

15

5(33.3)

 

Garden egg leaf

10

8(80.0)

 

 

 

 

Hausa Quarters

 

 

 

 

Carrot

15

7(46.7)

CAS

 

 

 

 

Borehole water

10

5(50.0)

Presco

Well water

10

6(60.0)

Total

 

100

54(54.0)

Key: CAS-Campus for Administrative Studies

 

 

 

Table 4: Distribution of extended spectrum beta-lactamase producing Escherichia coli in clinical sample 

Clinical Sample

No. of sample

E. coli 

ESBL (%)

Non-ESBL (%)

Urine

70

49(70.0)

18(25.7)

31(44.3)

Wound swab

25

16(64.0)

7(28.0)

9(36.0)

Pus

20

11(55.0)

10(50.0)

1(5.0)

Total

115

76(66.1)

35(30.4)

41(35.7)

Key: ESBL Extended Spectrum Beta-lactamase

 

Table 5: Distribution of extended spectrum beta-lactamase producing Escherichia coli from non-clinical sample 

Location

Sample

No. of sample

E. coli (%)

ESBL (%)

Non-ESBL (%)

International Market

 

 

 

 

 

 

Tomatoes

20

9(45.0)

4(20.0)

5(25.0)

 

Scent leaf

20

14(70.0)

6(30.0)

8(40

 

Uziza leaf

15

5(33.3)

0(0.0)

5(33.3)

 

Garden egg leaf

10

8(80.0)

0(0.0)

8(80.0)

Hausa Quarters

 

 

 

 

 

 

Carrot

15

7(46.7)

0(0.0)

7(46.7)

CAS

 

 

 

 

 

 

Borehole water

10

5(50.0)

2(20.0)

3(30.0)

Presco

Well water

10

6(60.0)

1(10.0)

5(50.0)

Total

 

100

54(54.0)

13(13.0)

41(41.0)

Key: ESBL Extended Spectrum Beta-lactamase, CAS-College of agricultural science campus 

 

Table 6: Distribution of carbapenem resistant in extended spectrum beta-lactamase producing Escherichia coli in clinical sample 

Clinical Sample

No. of sample

E. coli 

ESBL (%)

CPR (%)

CPS (%)

Urine

70

49(70.0)

18(25.7)

5(7.1)

13(18.6)

Wound sample

25

16(64.0)

7(28.0)

4(16.0)

3(12.0)

Pus

20

11(55.0)

10(50.0)

2(10.0)

8(40.0)

Total

115

76(66.1)

35(30.4)

11(9.6)

24(20.9)

Key: ESBL Extended Spectrum Beta-lactamase, CPR- Carbapenem Resistant, CPS

 

Table 7: Distribution of carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli from non-clinical sample 

Location

Sample

No. of sample

E. coli (%)

ESBL (%)

CPR (%)

CPS (%)

International Market

 

 

 

 

 

 

 

Tomatoes

20

9(45.0)

4(20.0)

3(15.0)

1(5.0)

 

Scent leaf

20

14(70.0)

6(30.0)

2(1.0)

4(20.0)

 

Uziza leaf

15

5(33.3)

0(0.0)

0(0.0)

0(0.0)

 

Garden egg leaf

10

8(80.0)

0(0.0)

0(0.0)

0(0.0)

Hausa Quarters

 

 

 

 

 

 

 

Carrot

15

7(46.7)

0(0.0)

0(0.0)

0(0.0)

CAS

 

 

 

 

 

 

 

Borehole water

10

5(50.0)

2(20.0)

2(20.0)

0(0.0)

Presco

Well water

10

6(60.0)

1(10.0)

1(10.0)

0(0.0)

Total

 

100

54(54.0)

13(13.0)

8(8.0)

5(5.0)

Key: ESBL Extended Spectrum Beta-lactamase, CPR- Carbapenem Resistant, CPS-Carbapenem Susceptible, CAS-Campus for Administrative Studies.

 

 

 

Table 8Antibiotic resistant pattern of Carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli isolated from clinical samples

 

 

Urine 
(n=5)

Wound

(n=4)

Pus

(n=2)

Antibiotics (µg)  (n=5)

R (%)

S (%)

R (%)

S (%)

R (%)

S (%)

Amikacin (15)

4(80.0)

1(20.0)

4(100)

0(0.0)

1(50.0)

1(50.0)

Azetronam (30)

5(100)

0(0.0)

4(100)

0(0.0)

2(100)

0(0.0)

Ceftriaxone(30)

4(80.0)

1(20.0)

4(100)

0(0.0)

2(100)

0(0.0)

Cefepime (30)

5(100)

0(0.0)

4(100)

0(0.0)

2(100)

0(0.0)

Colistin (10)

2(40.0)

3(60.0)

2(50.0)

2(50.0)

2(100)

0(0.0)

Gentamicin (15)

1(20.0)

4(80.0)

0(0.0)

4(100)

0(0.0)

2(100)

Ciprofloxacin (5)

1(20.0)

4(80.0)

0(0.0)

4(100)

0(0.0)

2(100)

Nitrofurantoin (100)

5(100)

0(0.0)

4(100)

0(0.0)

2(100)

0(0.0)

R-Resistance, S-Susceptible, n=Number of isolate

 

Table 9Antibiotic resistant pattern of Carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli

isolated from non-clinical samples

 

 

Tomatoes 

(n=3)

Scent leaf 

(n=2)

Borehole water 

(n=2)

Well water 

(n=1)

Antibiotics (µg) 

R (%)

S (%)

R (%)

S (%)

R (%)

S (%)

R (%)

S (%)

Amikacin (15)

2(66.7)

1(33.3)

1(50.0)

1(50.0)

2(100)

0(0.0)

0(0.0)

1(100)

Azetronam (30)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

0(0.0)

Ceftriaxone(30)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

0(0.0)

Cefepime (30)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

0(0.0)

Colistin (10)

2(66.7)

1(33.3)

2(100)

0(0.0)

1(50)

1(50)

1(100)

0(0.0)

Gentamicin (15)

0(0.0)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

Ciprofloxacin (5)

0(0.0)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

Nitrofurantoin (100)

3(100)

0(0.0)

2(100)

0(0.0)

2(100)

0(0.0)

1(100)

0(0.0)

R-Resistance, S-Susceptible, n=Number of isolate

 

Table 10: Comparison of antibiotic resistant pattern of carbapenem resistant extended spectrum beta-lactamase producing

Escherichia coli Isolates from clinical and non-clinical sources

Antibiotic (µg)

Urine

Wound

Tomatoes

Scent leaf

Borehole water

p-value

Amikacin (15)

4(80.0)

4(100)

2(66.7)

1(50.0)

2(100)

.9999

Azetronam (30)

5(100)

4(100)

3(100)

2(100)

2(100)

 

Ceftriaxone(30)

4(80.0)

4(100)

3(100)

2(100)

2(100)

 

Cefepime (30)

5(100)

4(100)

3(100)

2(100)

2(100)

 

Colistin (10)

2(40.0)

2(50.0)

2(66.7)

2(100)

1(50)

 

Gentamicin (15)

1(20.0)

0(0.0)

0(0.0)

0(0.0)

0(0.0)

 

Ciprofloxacin (5)

1(20.0)

0(0.0)

0(0.0)

0(0.0)

0(0.0)

 

Nitrofurantoin (100)

5(100)

4(100)

3(100)

2(100)

2(100)

 

 

 

 

 

 

Table 11: Multiple antibiotic resistant Index of carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli

from clinical and non-clinical sample

 

Location

Sample

Multiple Antibiotic Resistant Index

Clinical samples

 

 

 

 

International Market

Tomatoes

0.5

 

 

Scent leaf

0.7

 

 

Uziza leaf

-

 

 

Garden egg leaf

-

 

Hausa Quarters

 

 

 

 

Carrot

-

 

CAS

 

 

 

 

Borehole water

0.7

 

Presco

Well water

0.5

Non-clinical samples

 

 

 

 

 

Urine

0.6

 

 

Wound sample

05

 

 

Pus

0.7

Key: CAS-Campus for Administrative Studies

 


 

4. DISCUSSION

Among all positive 66.1 % clinical cultures, E. coli was the most common isolated bacteria in urine 70.0%. The major findings of this study reiterate with a retrospective review of urine culture results of human clinical sample which has reported 14.2% 25 (Kibret and Abera, 2011), 34.0 % 26 (Ghaima  et al., 2018) 36.6% 27 (Alsharapy et al., 2018), 49.3% 28 (Kpalap et al., 2019), 62.3% 29 (Dela  et al., 2022), 66.6% 30 (Gatya Al-Mayahie et al., 2022) E. coli from clinical samples. The high predominance of E. coli in urine sample is expected and it is well known that these bacteria represents a normal component of the intestinal microbiota of humans and animals and has strains with the potential of causing UTI and other extra intestinal infections. These UPEC strains have virulence traits that allow their successful colonization. Also, the high prevalence of E. coli may indicate a general lack of adherence to hygienic procedures, which are simple but effective measures to reduce the transfer of fecal bacteria. 

Non-clinical sample had bacteria count of 2.7 x103 Cfu/ml and 2.2 x103 Cfu/ml from borehole and well water respectively. Both Nigerian national standards for drinking water and world Health Organization 31. (WHO, 2004) earlier stated that the level of E. coli or thermo-tolerant bacteria should be zero in a 100 mL sample of water directly intended for drinking, as such all the borehole and well water sample analyzed in this study were not suitable for human consumption. Also the source of contamination might have come from the point of distribution, or leaking water pipes since the bore-hole water was allowed to flow for 5 min before the sample was taken. Additionally, that borehole water, which ought to be treated, must have been contaminate as a result of non-treatment, poor water treatment or as a result of leaky water pipes, which are buried in agricultural runoff, municipal drainage systems thus getting contaminated 32. (Ateba et al., 2020). Well water found with positive bacteria count might have been contaminated by water hoses use in fetching of water, which was normally left on the ground after used and reused without cleaning. Generally, the noted bacteria count from the two source may also be influence by the deep (shallow nature) of the underground water and seasonal factor as this study was performed during rainy season and they may be a positive correlation between the prevalence of bacteria and season.

Non-clinical sample such as Scent leaf had 2.6 x10Cfu/ml while the different in other fruit and vegetable were almost similar. The higher bacterial load in this sample may be partly due to the use of contaminated irrigation water and organic fertilizers in the farms, coupled with the poor hygienic environment in the area. Together these factors contribute to the microbial contamination during pre-harvest, harvesting, and poor handling practices at the post-harvesting, open display for marketing. These poor sanitary conditions were clearly observed when the vegetables and fruit were being sourced from the various markets. Additionally, the types of nutrients that are frequently present on the leaf surface of leafy green vegetables can be categorized into two categories: inorganic (ions) and organic molecules (organic acids and carbohydrates). Carbohydrates (dominant phyllosphere sugars are glucose, fructose and sucrose) are of special interest due to their capacity to readily support growth of enteric bacteria such as E. coli 33, 34. (Mogren et al., 2018; Chelaghma et al., 2022). The present of such nutrient may facilitate their presence in Scent leaf. 

In addition, season, months may also show a significant effect on the isolation rate, bacterial contamination was higher for the fruit and vegetable samples since this study was performed during rainy seasons. Earlier study provided an insight into the influx of fecal pollution deterioration in the wet season, which was the opposite of organic pollution. This may have been due to rainfall. In the wet season, the feces of domestic animals and contaminated soils are easily washed into rivers by rain, and lead to the rise of bacteriological values. On the contrary, the absence of rain in the dry season reduces the dilution effect of water for pollution, which could cause a higher level of organic pollution 35. (Chen et al., 2017).

Occurrence of E. coli in most water, vegetable and fruit is destructive to food safety. Safe food is essential and fundamental for a healthy, productive and reproductive life. Lack of access to safe food causes a destructive cycle of disease, specifically affecting people with ill-health, children, and the elderly 36. (WHO, 2020). According to the World Health Organization (WHO) report, 550 million people become ill, and 230,000 die yearly due to diarrheal diseases associated with the ingestion of foods already contaminated by microbial pathogens such as E. coli 36. (WHO, 2020). In another report by World Bank (2018), the overall productivity loss linked to FBD in developing countries is estimated to cost $95.2 billion annually, and the amount spent in treating FBI per year is estimated at $15 billion. According to the report, the highest occurrence of food-borne diseases is in Asia and sub-Saharan Africa compared to other continents. Since man’s existence, FBD has been a critical challenge for all nations and people of the world 37, 38. (WHO, 2008; Beshiru et al., 2022).

The high prevalence of E. coli in non-clinical samples; water vegetable and fruit in this study ranged from 33.3-80.0 % and in the context of fruit and vegetable could further be ascribed to its processing (minimally processed) to retain the quality of nutrients and enhance palatability to the consumers. Thus, vegetables harboring E. coli could be traced to the farming activities via human and animal waste manure and wastewater/untreated water used for irrigation or various processing stages such as slicing and peeling, favoring its interaction with E. coli 38. (Beshiru et al., 2022). 

In 2003, the World Health Organization (WHO) and the Food and Agriculture Organization (FAO) launched an initiative to support the consumption of fruit and vegetables to promote health around the world, with a recommended minimum intake of 400 g per day 34, 39. (Chelaghma et al., 2022; Holzel et al., 2018). Because vegetables are often eaten raw, their consumption may result in the ingestion of bacteria able to pose a serious threat to consumer health 34, 40 (Chelaghma et al., 2022; Van Hoek et al., 2015).

On the phenotypic level, the prevalence of CR producing ESBL strain accounted for 11(9.6 %) among clinical isolate.  Co-expression of carbapenem resistant and ESBL production in clinical isolate is not surprising but harmonizes the findings of other researcher 28, 30, 41, 42, 43, 44, 45. (Kpalap et al., 2019; Gatya Al-Mayahie et al., 2022; Nasiri et al., 2020; Thapa et al., 2022 Aminu, et al., 2022; Alegría et al., 2020; Adabara et al, 2020). This partly due to increased use of carbapenems and broad spectrum cephalosporin and other antibiotics by physicians for treatment of serious and even non-serious cases in the Clinical settings. In Spain, it was revealed that the Carbapenem resistant E. coli occurred after a continuous increase in resistance to third-generation cephalosporins and fluoroquinolones 46. (Ortega et al., 2016). The production of all kinds of carbapenemases by E. coli isolates represent a major issue with further problem in enteric bacterial infections treatment 30, 47. (Gatya Al-Mayahie et al., 2022; Shaik et al., 2017). From a therapeutic perspective, CR producing ESBL strain represent a threat as only a few antibiotics may retain activity against them. This is due to the ability of carbapenemases to hydrolyze most other β-lactam antibiotics, and to frequent coexistence in CRE isolates of additional mechanisms of resistance against other antibiotics such as fluoroquinolones and aminoglycosides 48. (Moxon and Paulus, 2016).

CR producing ESBL strain was identified in 8.0 % of non-clinical sample. The presence of CR producing ESBL strain in Tomatoes and scent leaf is unknown and contamination may occur through animal manure fertilization. Although bla IPM, blaNDM-1, blaVIM-4 and blaOXA-48 genes has been found in vegetables in Algeria and Ethiopia 34, 49. (Chelaghma et al., 2022, Yigrem et al., 2021) but the presence of carbapenem-resistant bacteria on fresh vegetables not only raises questions about the role of agriculture but could be linked to human contamination during post-harvest stages 50, 51. (Liu et al., 2018; Amato et al., 2021). Various studies have investigated the potential sources of produce contamination in the supply chain at the post-harvest periods linked to humans, where they have reported that poor or inappropriate personal hygienic practices during transport, methods of storage, processing and preparation by handlers including sellers and consumers and the market environment also contribute to vegetable contamination 52. (Berger et al.,2010). The potential implications of wastewater used for irrigation in the dissemination of antibiotic-resistant human pathogens should also not be neglected as suggested by recent studies 53, 54. (Antwi-Agyei et al., 2015; Makkaew et al., 2016).

CR producing ESBL strain was noted in water source (well and borehole water). Therefore, these water sources may contain contaminants resulting from agricultural and anthropogenic activities which is probably due to incoming runoffs during rainfalls. This finding is in agreement with a study conducted by 55. Mahmoud  et al. (2020) in Sudan were OXA-48 gene was the most predominant gene, detected in 15.5% of the isolates from drinking water. The blaKPC and blaSPM genes were also detected in 4.4% and 8.8% of the isolates, respectively. In another study by 56. Amaya et al. (2012) in Nicaragua; they reported that gene encoding for blaOXA was detected in 1% of well-water samples. There was another study done by 57. Tanner et al. (2019) they identified TEM, SHV and blaOXA-48-type genes (3.9%) in US drinking water the result obtained by 58. Haberecht et al. (2019) in Northern Colorado in which E. coli isolated from environmental water represented 4.2% of total suspected blaKPC . There is evidence of the presence of Carpanemase and ESBL-producing bacteria in drinking water in both low-and high-income countries worldwide 59, 60, 61, 62. (De Boeck et al., 20112; Abera et al., 2016; Madec et al., 2016; Larson et al., 2019). The presence of a strain of CR-ESBL-producing bacteria in the present study suggests that drinking water may serve as a route of transmission and potential source of community-acquired infections with CR ESBL-producing E. coli with limited therapeutic option. In fact, one of the critical priorities of the World Health Organization is carbapenem-resistant ESBL-producing bacterial pathogens for which new antibiotics should be designed 30, 63. (Gatya Al-Mayahie et al., 2022; Martinez-Medina, 2021).

Both clinical and non-clinical CR producing ESBL strain portrayed high resistance to antibiotics such as Azetronam, Ceftriaxone, Cefepime, Nitrofurantoin, Amikacin and this observation concurred with other previous studies that had been conducted in Ghana 64, 29. (Dela et al., 2022; Akuffo et al., 2017), in Iraq 30.  (Gatya Al-Mayahie et al., 2022), in Algeria 34. (Chelaghma et al., 2022) and in Nigeria 38. (Beshiru et al., 2022). 

Clearly, antibiotics resistance arises quickly and spreads rapidly, especially when resistance genes are horizontally transferred via plasmids and integrons among individuals, among species, and even among bacterial kingdom 30. (Gatya Al-Mayahie et al., 2022). Much of the problem of antimicrobial resistance has been shown to be due to the presence of transferable plasmids encoding MDR and their dissemination among different enterobacterial species and it is common for a single plasmid to simultaneously mediate resistance to multiple antimicrobials and to be shared among different bacterial genera 30. (Gatya Al-Mayahie et al., 2022).

On the context of clinical isolate, this is indicative of a gradual narrowing of the most routinely prescribed and readily available treatment options for diarrhoeagenic E. coli infection in the country due to the selective pressure that may have been placed on these antibiotics over the years, as well as the over-the-counter availability of some of these antibiotics as well.

In this context, resistant noted among isolate from vegetable and fruit opines that vegetables and fruit could be a possible route for the dynamic diffusion of antibiotic-resistance genes in the community. The ingestion of antibiotic-resistant bacteria is a potential public health threat since they are able to colonize the gut or pass through the intestines and exchange resistance genes with intestinal bacteria, facilitating their widespread dissemination in the environment 65. (Blaak et al., 2014).

Additionally, it has been speculated that the extensive application of antibiotics on crops might augment the incidence of antibiotic resistance in bacteria existing on plant surfaces 66. (Stockwell & Duffy, 2012). In addition to their use for the control of bacterial diseases of plants, antibiotics can be introduced into agriculture via soil fertilization through the use of manure from animal farming. Furthermore, the soil may well represent an important source of antibiotic-resistant bacteria and genes to the plant 67. (Iseppi et al., 2018). In spite of this, soil fertilization with animal manure is a common agricultural practice worldwide. Antibiotic-resistant bacteria associated with manure and soil may enter the plant microbiome through colonizing the roots, which are in direct contact with soil, or the above ground parts of plants, possibly via the motility of root endophytes or air particulates. In this context, manure from dairy cows, usually used as a soil fertilizer, may harbor different resistant bacteria and resistance encoding genes from the gut microbiota of cattle 68. (Zalewska et al., 2021). This phenomenon has become a major problem for public health, not only in underdeveloped countries but also in high-performing, socio-economically developed countries 67. (Iseppi et al., 2018).

E. coli clinical isolates susceptible to Colistin was also noted in 50-60% of the bacteria, and this implies future resistance, which makes such isolates awkward to handle and must not be eliminated by the antibiotic. Additionally, colistin resistant proportion 66.7-100% was noted among non-clinical isolate. However, MCR-1 producers have been reported from vegetable in Algeria 34. (Chelaghma et al., 2022). The colistin resistant reported in study might have originated from wastewater. In addition, several studies have reported foodborne human outbreaks linked to the consumption of fresh vegetables irrigated with wastewater, and have highlighted that the type of irrigation practice to play a vital role in the contamination of farm produce 69.  (Adegoke et al., 2018). Several studies have demonstrated a correlation between the presence of resistance genes in vegetables, fruits, soil and irrigation water  70, 71, 72, 73, 74. (Cerqueira et al., 2019a; 2019b; H¨olzel et al., 2018; Araújo et al., 2017; Jongman and Korsten, 2016). This is a main issue in the development of resistant bacterial strains, which can infect humans, increasing the difficulty to treat severe infections 75. (Conde-Cid et al., 2018).

Comparison of antibiotic resistant pattern of carbapenem resistant extended spectrum beta-lactamase producing Escherichia coli isolates from clinical and non-clinical sources showed no statistical significant difference P-value 0.05 i.e., the both isolate had similar pattern of resistant to the test antibiotic. This indicate that force driving antibiotic resistance do not differ between these two settings. The high resistance in these isolates can be linked with the widespread application of these antibiotics in agriculture and human medicine.

The increased prevalence of MDR E. coli pathotypes with MAR index value 0.5-0.7 in the studied non-clinical isolate proposes the necessity for expanding our acquaintance of the reservoirs, transmission pathways and sources of such MDR. 

Notably, MAR index value 0.5, 0.6 and 0.7 of the clinical E. coli isolates in this study shows MDR, which is bothersome. Although MDR patterns from one country to another differed but MAR index from 76. Fallah et al. (2021) was 0.75, compared to 38. Beshiru et al. (2022) (0.13–0.94). This high prevalence of MDR among the isolates of the present study is alarming and necessitate the need for the clinicians to ensure the use of appropriate antibiotics for recommended periods in adequate doses in order to prevent emergence of multidrug resistant organisms. The existence of specific MDR phenotypes in diverse samples designates cross-contamination amid procurement from similar farms or markets, irrigation and hospital effluent return flows can be a point source of ARGs that ultimately discharge into environment, and may later percolation to underground water, animals waste can also contaminate water or may be used as manure, bringing antibiotics residues and resistant bacteria into crops 73. (Araújo et al., 2017). In this way, antibiotics can enter into human food chain through consumption of raw fruit, vegetables, which can also carry antibiotic-resistant food-borne pathogenic bacteria. 

Both isolate of ESBL producing E. coli resistance to carbapenem showed high sensitivity to ciprofloxacin and gentamicin in this study. For bacterial infections, these antibiotics are the most reliable last-resort treatment 77, 30, 34. (Gatya Al-Mayahie et al., 2022; Chelaghma et al., 2022; Mhawesh et al., 2021). Therefore, the limited use of these antibiotics might be helpful to inhibit/avoid the emerging or spreading of multidrug-resistant bacteria.

5. CONCLUSION

This study revealed that clinical and non-clinical isolates of ESBL producing E. coli are possible reservoirs for co-existence carbapenem resistant ESBL strain and highlighted that the vegetables/fruits (Scent leaf and Tomatoes), well water and borehole water samples were the most contaminated sample types. As both clinical and non-clinical isolate had similar pattern of resistant to the test antibiotic, this may be due to the excessive use of broad spectrum antibiotic agriculture and clinical practice.   MDR portrayed by majority of the tested isolates shows that they originated from areas of high antibiotic use. However, these bacteria strains identified are of clinical importance and may pose treatment failures in the host during antibiotic therapy but retaining activity of ciprofloxacin and gentamicin may be sufficient for infection treatment. Therefore, further investigations are needed for PCR-based detection of antimicrobial resistance genes and ongoing surveillance of the spread of antibiotic resistance in epidemiological and environmental studies. This calls for studies to determine the extent to which transmission of antibiotics-resistant E. coil occurs and how such transfer impacts the efficacy of anti-E. coil strains used in environmental and human medicine becomes imperative. In addition, appropriate measures such as pretreatment of animal excrement before being used as fertilizers and the quality of irrigation water, hospital effluent discharge need to be taken into consideration

Acknowledgement: Our appreciation goes to the staff and management of the Alex Ekwueme Federal University Teaching Hospital, (AFEUTHA), Abakaliki Nigeria for the administrative and unflinching support in carrying out this study.

Authors’ Contributions: This work was carried out in collaboration among all authors. Authors ISJ, IOO helped to conceptualized the data. Author ECU, IPO did Data curation and Formal analysis. Authors IUP, IRI performed Methodology. Author ISJ did Project administration. Authors IRI and CEN Supervised the data and wrote the original draft. Authors IRI, IUP wrote, reviewed and edited the manuscript. All authors investigated the study, did literature searches and did data Validation and Visualization. All the authors reviewed and approved the final draft, and are responsible for all aspects of the work

Funding Source: None

Conflict of Interest: None

Ethics Statement: Ethical approval with reference No: AFEUTHA/EC464/RT/21 was obtained from the Research and Ethics Committee of AFEUTHA, Nigeria. All experiment in this study was executed following relevant national and international guidelines

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