Keywords
Bacteria; Liver; PCR; Resistance; biochemical 46
47
48
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1. Introduction 50
Enterobacteriales, a bacterial order in the phylum Proteobacteria, consists of several important 51
intestinal pathogens (Bujňáková et al., 2022). This order includes persistent gut colonizers that 52
make up small microbiota components under healthy conditions (Riccio and Rossano, 2020). As 53
long as the microbiota is in balance and the complex and dense bacterial population inhibits their 54
overgrowth, opportunistic Enterobacteria can continue to exist as gut commensals without 55
causing any infections (Rao et al., 2020). A disruption of the microbiota can result in a bloom of 56
Enterobacteria, which can cause pathogen-mediated illnesses and inflammatory reactions in the 57
host (Amaretti et al., 2020). 58
The most studied species among the Enterobacteria is Escherichia coli in terms of the 59
traits that differentiate pathogenicity and commensalism (Dalmasso et al., 2023). It mostly 60
colonizes the intestine, but it also includes many pathogenic variations that can cause infections 61
in other tissues or the gut, in addition to harmless commensals. E. coli is also found in patients 62
with liver complications such as ascites or urinary tract infections. Patients with liver disease 63
have a decreased ability to fight against bacterial infections, which exposes them to risk of 64
infections, sepsis, and even death. Among these patients, spontaneous bacterial peritonitis, 65
bacteremia, skin and soft tissue infections, pneumonia and urinary tract infections are the most 66
frequent bacterial illnesses (Bunchorntavakul et al., 2016). The most common causes are Gram 67
negative bacteria. The majority of research interest has been focused on virulent strains of E. coli 68
isolated from infected patients (Dalmasso et al., 2023), but there has also been a growing focus 69
on environmental strains and faecal isolates from healthy subjects in an effort to assess the 70
pathogenic potential of a larger reservoir of biodiversity (Keesing and Ostfeld, 2021). 71
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Escherichia coli is a gram-negative, rod-shaped, facultatively anaerobic bacterium, which 72
is usually found in the lower intestine of worm-blooded species that are endotherms (Tenaillon et 73
al., 2010). Living in the lower digestive tract, E. coli is present within the first 24 hours of birth 74
(Bettelheim and Lennox-King, 1976). The gut microbiota is made up of over 500 different 75
species of bacteria, with 1010–1011 cells per gram of large-intestinal content. Along with other 76
facultative anaerobes, E. coli makes up around 0.1% of the local gut flora (Berg, 1996; Eckburg 77
et al., 2005). As a normal component of the flora, it is primarily regarded as helpful to humans 78
(Croxen and Finlay, 2010). E. coli has the unusual ability to be utilized as an indicator organism 79
to check for microbial contamination in water sources (Devane et al., 2020). Certain pathogenic 80
strains are also present. The pathogenicity of a given pathotype is determined by the presence of 81
a set of virulence factors, which facilitate the infection of humans and animals with the bacteria 82
and the manifestation of specific symptoms (Watkins et al., 2016). 83
Antimicrobials are usually used for treating infected patients and also for prophylaxis for 84
certain ailments. The antimicrobial abuse and inadequate selection are the key reasons for the 85
emergence of resistance among several bacteria and this makes the antibacterial therapy more 86
difficult (FR et al., 2019). Since E. coli are commensal bacteria, they are thought to be a 87
reservoir of pathogenic bacteria's resistance genes (Lambrecht et al., 2019). Their degree of 88
resistance is thought to be a useful indicator of the selection pressure brought on by the 89
administration of antibiotics as well as the likelihood that these pathogens may have resistance 90
challenges (Hoang et al., 2017). In addition to transmit antibiotic resistance genes to other E. coli 91
strains, resistant strains of the bacterium can also pick up resistance from other species and 92
transfer it to other bacteria in the gastrointestinal tract (Tawfick et al., 2022). Thus, determining 93
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the prevalence of E. coli in liver abscess as well as characterizing the bacteria's molecular 94
makeup and antibiotic resistance profile was the main objective of this study. 95
96
2. Materials and Methods 97
2.1. Culture media and chemicals 98
Luria broth, nutrient agar, beef extract, MacConkey agar, Simmon’s citrate agar, crystal violet, 99
and antibiotic discs (ampicillin, tetracycline, streptomycin, cephotaxime, azithromycin, 100
chloramphenicol, linezolid, teicoplanin, nalidixic acid, ciprofloxacin, trimethoprim and 101
imipenem)., St Louis, MO, USA. Sodium chloride, were purchased from Sigma Chemical Co, 102
hydrogen peroxide, dextrose, lactose, and glucose were procured from Merck, Darmstadt, 103
Germany. All other chemicals were from Shandong Chemicals, China and were of the highest 104
grade available. 105
2.2. Sample collection and Enrichment 106
Early morning stool samples (~3 g) were collected from individuals at their residence in sterile 107
blue cap stool containers. The sample was enriched by adding fecal sample (20µl) to 2ml of 108
Luria broth followed by incubation overnight at 37°C. 109
2.3. Isolation and purification 110
The samples were initially grown (18–24 hours) in nutrient broth at 37ºC and then they were 111
sub-cultured using the streak plate method onto MacConkey agar (Zinnah et al., 2007). The 112
culture was incubated at 37°C for 24 hours until the pure culture with homogenous colonies were 113
obtained. Isolated red/pink colonies were re-streaked on the same agar. The re-streaked petri 114
plates were incubated for 24 hours at 37°C for further purification. 115
116
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2.4. Identification 117
The purified colonies on re-streaked MacConkey agar were further identified by Gram staining 118
(Kohlerschmidt et al., 2021) and by different biochemical tests. 119
2.4.1. Biochemical Tests 120
Bacterial strains were biochemically identified by various tests, e.g., catalase (Chauhan et al., 121
2020), oxidase (Horne et al., 2024), indole (Alves et al., 2006), methyl red (Shoaib et al., 2020), 122
citrate (Rahman et al., 2021), triple sugar iron agar (Zinnah et al., 2007), and V oges-Proskauer 123
(Zinnah et al., 2007). 124
2.5. DNA Extraction 125
After 24h incubation the broth was centrifuged at 12,000g for 5 min. The supernatant was 126
discarded and distilled water was added to the pellet. After 5 sec vortexing, the samples were 127
transferred to Eppendorf tube followed by centrifugation at 12,000 rpm for 5 min. The pellet was 128
washed and centrifuged again. After removing supernatant, the pellet was resuspended in 300µl 129
10% Chelex. After 30 min incubation at 99°C, supernatant was isolated by centrifugation at 130
12000rpm for 5min (Mahmoud et al., 2020). 131
2.6. PCR amplification 132
Pure and biochemically positive colonies were confirmed by polymerase chain reaction. Using 133
the Sul 1 primer pairs forward (CGCACCGGAAACATCGCTGCAC) and reverse 134
(TGAAGTTCCGCCGCAAGGCTCG), resistant gene segments in bacterial positive isolates 135
(~284 bp) were amplified using PCR. The PCR mixes were prepared according to manufacturer's 136
directions. The PCR amplification was conducted in a 25.0 µl reaction mixture, consisting of 137
12.5 µl of master mix, 2.0 µl of DNA, 1.5 µl of each primer and 7.5 µl of distilled water. 138
Thermal cycling machine was set up to amplify DNA for 35 cycles. The PCR was 139
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initially denaturated for 15 minutes at 95°C. Next, it was denaturated and annealed for 1 minute 140
at 94°C and 52°C, respectively. Finally, it was extended for 1 minute at 72°C and concluded the 141
PCR with a final extension for 15 minutes at 72°C (Mahmoud et al., 2020). 142
2.7. Gel Electrophoresis 143
PCR was followed by gel electrophoresis to visualize the bands. Extracted DNA (5 µl) was 144
added to each well after adding ethidium bromide (1.5 µl) into agarose gel (2%) and pouring into 145
the casting tray to solidify. The current was adjusted to 100 amps for 30 min while the applied 146
voltage was 60 volts. Following that, a UV transilluminator was used to view the PCR result 147
(Mahmoud et al., 2020). 148
2.8. Antibiotic Susceptibility Test 149
The Kirby-Bauer disc diffusion method was used to screen the 208 isolates for antibiotic 150
resistance. Fourteen antibiotics were tested, e.g., ampicillin, vancomycin, cefotaxime, 151
ceftazidime, imipenem, tetracycline, trimethoprim, streptomycin, linezolid, Teicoplanin, 152
nalidixic acid, ciprofloxacin, chloramphenicol, and azithromycin. The recommendations' stated 153
antibiotic minimum inhibitory concentration (MIC) was used to classify E. coli patterns as 154
"resistant", "intermediate resistant," or "sensitive". The word "resistant" was applied to all 155
isolates exhibiting "resistant" or "intermediate resistant" patterns (Mahmoud et al., 2020). 156
3. Results 157
3.1. Isolation of E. coli 158
Two hundred eight samples were taken and successfully grown on MacConkey agar media plus 159
Cefotaxime. Ninety one samples showed positive results which exhibit 43% samples were 160
identified as E. coli. 161
162
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3.2. Biochemical tests 163
The biochemical characteristics of E. coli strains are shown in Table 4. In biochemical study all 164
the isolates revealed positive reaction in catalase, oxidase and TSI, with the production of acid 165
and gas within 24-48 hrs of incubation. The isolates also showed negative reaction in Simmon’s 166
citrate and VP test and differential results in Indole and methyl red test. 167
3.3. Polymerase chain reaction (PCR) 168
The PCR results showed that all subject's DNA was visible at the 284 bp DNA molecular ladder. 169
According to the findings, DNA was amplified to 284 bp and aligned using a DNA molecular 170
ladder (Figure 6). 171
172
Figure 3. PCR results after DNA molecular ladder analysis and agarose gel electrophoresis. 173
174
175
176
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3.4. Phenotypic confirmation of extended spectrum beta-lactamase (ESBL) E. coli 177
The zone of inhibition of corner antibiotics (Aug and TZP) diffused into the center antibiotics 178
(CRO) showed positive results for ESBL production (20-25 mm from corner to center) as shown 179
in figure 4. Table 5 shows antimicrobial susceptibility pattern of E. coli. The antimicrobial 180
susceptibility pattern showed that isolates were resistant to most of the drugs, however 100% of 181
isolates were susceptible to imipenem and 92% to azithromycin respectively. The isolates 182
showed resistance to ampicillin (100%), vancomycin (100%) and cefotaxime (100%), were the 183
highest among the antibiotics used, followed by ceftazidime (72%), tetracycline (84%), 184
trimethoprim (80%), streptomycin (96%), linezolid (92%), Teicoplanin (80%), nalidixic acid 185
(84%), ciprofloxacin(92%) and chloramphenicol (72%). 186
Table 5. Antimicrobial susceptibility pattern of E. coli. 187
S. No. Antibiotics Resistance (%) Sensitivity (%) Intermediate (%)
1. Ampicillin 100 0 0
2. Cefotaxime 100 0 0
3. Ceftazidime 72 28 0
4. Tetracycline 84 16 0
5. Trimethoprim 80 20 0
6. Imipenem 0 100 0
7. Chloramphenicol 72 24 4
8. Streptomycin 96 0 4
9. Linezolid 92 0 8
10. Teicoplanin 80 0 20
11. Vancomycin 100 0 0
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12. Nalidixic Acid 84 0 16
13. Ciprofloxacin 92 0 8
14. Azithromycin 4 92 4
188
4. Discussion 189
Multidrug resistant E. coli has grown to be a concerning issue and has been observed in 190
increasing numbers in humans. E. coli is a common cause of contaminated drinking water, which 191
can result in significant complications such liver abscess, diarrhoea, and enteritis. It is also one of 192
the main etiologic agents causing urinary tract infections, sepsis, enteritis, and meningitis (Su 193
and Brandt, 1995). Global public health is greatly affected by antibiotic resistant E. coli 194
(Galindo-Méndez, 2020; Puvača and de Llanos Frutos, 2021). These resistant bacteria could 195
raise the risk to human health (Nji et al., 2021; Ramos et al., 2020). Therefore, it is critical to get 196
further knowledge about such issues. 197
The antimicrobial susceptibility pattern of the isolates in this investigation revealed that 198
they were resistant to a majority of drugs tested; however, 100% of the isolates were responsive 199
to imipenem and 92% to azithromycin. Among the antibiotics used, the isolates exhibited the 200
highest levels of resistance to ampicillin (100%), vancomycin (100%), and cefotaxime (100%). 201
These were followed by ceftazidime (72%), tetracycline (84%), trimethoprim (80%), 202
streptomycin (96%), linezolid (92%), Teicoplanin (80%), nalidixic acid (84%), ciprofloxacin 203
(92%), and chloramphenicol (72%). These bacterial species can acquire a large number of 204
resistance genes, primarily by horizontal gene transfer (Zarei-Baygi and Smith, 2021). 205
The Gram stain is a commonly utilized technique for the identification and differentiation 206
of bacteria (Budin et al., 2012). This method is widely applied in clinical diagnostics, 207
environmental sample detection, and identification of bacterial species. Since crystal violet binds 208
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to both Gram-positive and Gram-negative bacteria's peptidoglycan layer, it is employed in the 209
staining procedure for bacterial samples. Crystal violet produces an insoluble complex when it 210
comes into contact with an iodine solution (Becerra et al., 2016; Biswas et al., 1970; Claus, 211
1992). A thick peptidoglycan coating covers Gram-positive bacteria, while lipopolysaccharides 212
and lipoproteins cover Gram-negative bacteria. Gram-negative bacteria lose colour when 213
decolorized with acetone or alcohol, Gram-positive bacteria retain their purple colour 214
(Kohlerschmidt et al., 2021). The isolates of bacteria were Gram negative based on our Gram 215
staining results. Staining is a reliable and simple procedure, but the final detection is still done by 216
optical microscopy, which is often susceptible to user-dependent sampling error. 217
In this study, E. coli were isolated and identified through conventional microbiological 218
analysis. The outcomes of the microbiological detection of E. coli were comparable since, in 219
addition to culture-based detection, the selected isolates' molecular identity was determined by 220
PCR amplification using 16s rDNA. To establish specificity, we optimized primer and annealing 221
temperature for DNA amplification using a standard set of samples and precise calculations 222
based on nucleotide presence in the study's DNA sequence. The gradient temperature in this 223
experiment was determined using the forward and reverse primers. 224
The PCR amplification efficiency was very nearly 100% since all of the samples 225
appeared at 284 molecular base pairs (bp), which is considered to be the ideal parameter assay. A 226
pilot study would require an amplification efficiency of 90% – 105%. Inadequate primer design 227
or less-than-ideal reaction conditions in relation to the PCR's components can lead to low 228
reaction efficiency. (Bunu et al., 2020). Agarose gel electrophoresis of all the amplified products 229
produced bands that were positive for identification. All of the samples were confirmed to be E. 230
coli using molecular identification. 231
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232
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