Next Article in Journal
The Interplay between Microbiota and Human Complex Traits
Next Article in Special Issue
Lethality Validation for Human Pathogenic Salmonella enterica on Chicken Feathers and Blood during Simulated Commercial Low-Temperature Dry Rendering
Previous Article in Journal
Salinity-Induced Physiochemical Alterations to Enhance Lipid Content in Oleaginous Microalgae Scenedesmus sp. BHU1 via Two-Stage Cultivation for Biodiesel Feedstock
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Detection of Cyclomodulin CNF-1 Toxin-Producing Strains of Escherichia coli in Pig Kidneys at a Slaughterhouse

by
Arturo Herrera-Vázquez
1,
Rebeca Arellano-Aranda
2,
Daniel Hernández-Cueto
3,
Esmeralda Rodríguez-Miranda
1,
Sergio López-Briones
1 and
Marco Antonio Hernández-Luna
1,*
1
Department of Medicine and Nutrition, Division of Health Sciences, University of Guanajuato, Campus León, Guanajuato 37670, Mexico
2
Department of Veterinary, Division of Life Sciences, University of Guanajuato, Campus Irapuato Salamanca, Guanajuato 36500, Mexico
3
Unit of Investigative Research on Oncological Diseases, Children’s Hospital of Mexico Federico Gomez, Mexico City 06720, Mexico
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(8), 2065; https://doi.org/10.3390/microorganisms11082065
Submission received: 29 June 2023 / Revised: 2 August 2023 / Accepted: 5 August 2023 / Published: 11 August 2023

Abstract

:
Food is often contaminated with Escherichia coli (E. coli) bacteria strains, which have been associated with different diseases, including urinary tract infections. The consumption of meat by humans is a potential route of transmission of antimicrobial resistance, and food-producing animals have been associated as a major reservoir of resistant bacterial strains. The aim of this study was to determine the presence of the E. coli strains producing the CNF-1 toxin in pig kidneys. Pig kidneys were collected from a Mexican slaughterhouse and classified according to their coloration into reddish kidneys (RK) and yellowish kidneys (YK). A tissue sample from each kidney was processed for histological analysis, the presence of E. coli was determined by conventional PCR assay, and the CNF-1 toxin was detected by both conventional PCR and Western blotting. Herein, an inflammatory cell infiltrate was found in all collected kidneys, regardless of macroscopic differences. Surprisingly, E. coli and the CNF-1 toxin were detected in all kidney samples. We clearly demonstrate contamination by CNF-1 toxin-producing E. coli in pork kidneys from a slaughterhouse, even in those without apparent damage. This suggests that pork may serve as a reservoir for pathogens, representing an important risk to human health.

1. Introduction

Foodborne illness represents a risk to human health and an important worldwide public health problem [1]. According to the World Health Organization (WHO), more than 400,000 people die annually from foodborne illness [2].
In the slaughtering procedure, as well as in food processing, contamination with pathogenic microorganisms such as Salmonella spp., Escherichia coli, Campylobacter spp. and other bacteria can occur [3]; this is of widespread concern because it can be a major cause of foodborne illness, directly affecting the health of consumers. Thus, the food industry faces an important challenge, employing different decontamination methods during the slaughter, as well as during the production process of meat products, with the intention of reducing the risk of contamination by pathogenic microorganisms and improving both the quality and safety of meat products [4]. However, limitations can still be found in decontamination methods, which can alter the organoleptic properties of treated products [5,6,7]. In addition, practices can pose health and safety risks for handlers, not only due to the physical and chemical agents used in these processes, but also through exposure to treatment-resistant bacteria, such as E. coli O157:H7, an acid-resistant bacterial strain [8].
Commonly, it has been found that food is often contaminated with E. coli bacteria strains, and bacterial resistance to antibiotics is a major problem associated with illnesses caused by ingestion of contaminated food [9,10,11,12]. Thus, it has been identified that among the most important foodborne bacterial strains are E. coli spp. and the Shiga toxin-producing E. coli strain or STEC, both associated with gastroenteritis in humans after ingestion of contaminated pork [13,14].
On the other hand, high genetic homology between STEC and the uropathogenic E. coli (UPEC) strain has been found, and UPEC is a bacterium widely associated with urinary tract infections [9,15]. In addition, a higher incidence of urinary tract infections caused by antimicrobial-resistant E. coli has been found in women who frequently consume chicken and pork [16], suggesting a possible transmission of UPEC through consumption of contaminated food [17]. Interestingly, antibiotic resistance of E. coli strains in samples isolated from a pig farm was mainly related to the presence of plasmids [18]. However, other virulence factors such as hemolysin, mannose-resistant hemagglutinin (MRHA) and mannose-sensitive hemagglutinin (MSHA) have also been associated with antibiotic resistance in humans [19] and swine [20]. Also, UPEC and other pathogenic strains of E. coli can produce an important virulence factor, a cyclomodulin called CNF-1 (Cytotoxic Necrotizing Factor-1), which has been associated with increased bacterial survivability [21,22], meningitis [23] and, recently, prostate cancer and metastasis [24,25].
Because of the human health implications of pathogenic E. coli strain contamination, the objective of this study was to determine the possible presence of CNF-1 toxin-producing E. coli in pork kidney samples from a slaughterhouse, given the common use of viscera in the preparation and production of human food, such as sausages.

2. Materials and Methods

2.1. Pig Kidney Samples

According to the staff at the slaughterhouse in Irapuato, México, all the pigs arrived at the slaughterhouse apparently healthy, without signs of any disease. However, in the process of butchering, it was found that several pigs had yellowish kidneys (with visible damage like hydronephrosis), while other pigs had normal reddish kidney coloration. Thus, 24 samples of pig kidneys were collected and classified according to their coloration; twelve reddish kidneys (RK) and twelve yellowish kidneys (YK) were obtained. All kidney samples were randomly collected by slaughterhouse personnel according to the Mexican official standard NOM 194 SSA1 2004. For biosafety, the kidneys were individually wrapped in aluminum foil. Each kidney was individually placed in an airtight plastic bag and immediately transported to the laboratory on ice into a sealed cooler. Samples were processed immediately or in no more than 90 min. A tissue sample from each kidney was processed for histological analysis, total DNA extraction and total protein extraction as described below.

2.2. Kidney Histology

The pig kidneys were fixed in formaldehyde and dehydrated by xylene and ethanol treatment. Kidney tissues were embedded in paraffin and 3 µm sections were cut from fixed embedded tissues on a rotary microtome (Leica Byosistems™, Wetzlar, Germany). Tissue slices were placed on glass slides, deparaffinized and stained with hematoxylin and eosin (H and E). For histological examination, cellular infiltration was analyzed using conventional light microscopy at 20× and 40× magnification (Leica Byosistems™, Wetzlar, Germany). Three observers counted 10 different fields from each kidney sample. Data were expressed as mean ± SE, and statistical differences between reddish kidneys and yellowish kidneys were determined by Mann–Whitney U.

2.3. Kidney DNA Purification

Total DNA was purified from 100 mg of tissue obtained from the renal cortex. Briefly, the tissues were homogenized in 500 µL of TRIzol, (Invitrogen™, Waltham, MA, USA) through sonication for 5 cycles of 30 s at 4 °C, and DNA was purified according to the manufacturer’s protocol.

2.4. Detection of Bacterial Genes by PCR

The detection of bacterial genes in pig kidney tissues was carried out by conventional PCR in a thermal cycler T100 (Bio-Rad™, Hercules, CA, USA). The PCR products were subjected to electrophoresis on 1% agarose gels with in TAE buffer (40 mM Tris-acetate and 1 mM EDTA, pH 8.3), stained with SYBR Safe DNA Gel Stain (Invitrogen™, Waltham, MA, USA) and visualized on a SmartDoc Gel Imaging System (Accuris Instruments, Edison, NJ, USA) under blue light. The specific oligonucleotide primers used in PCR amplification were as follows: E. coli: Fwd 5′ TTGCTGACGAGTGGCGGACG 3′ and Rv 5′ CCCCACTGCTGCCTCCCGTA 3′ and cnf-1 gene, Fwd 5′ AGATGGAGTTTCCTATGCAGGAG 3′ and Rv 5′ CATTCAGAGTCCTGCCCTCATTATT 3′ [26]. The universal primers Fwd 5′ TCCTACGGGAGGCAGCAGT 3′ and Rv 5′ GGACTACCAGGGTATCTAATCCTGTT 3′ for the 16S ribosomal subunit, were used as an internal control.

2.5. Kidney Protein Purification

Total kidney proteins were obtained from 100 mg of renal cortex tissue. Tissues were homogenized in 500 μL of cold PBS in a Dounce tissue grinder with a glass pestle. The samples were then centrifuged at 500× g for 10 min at 4 °C and the supernatant was removed. The pellet was suspended in 1 mL of whole cell lysis buffer containing: 1 M KCl, 1 M HEPES (pH 7.8), 1% NP-40 and a halt protease and phosphatase inhibitor cocktail (Pierce™, Appleton, WI, USA) and sonicated at 4 °C. After that, samples were centrifuged at 9000× g for 10 min at 4 °C. Protein concentration in the supernatants was quantified by Bradford assay. All protein samples were stored at −70 °C until use.

2.6. Western Immunobloting Assay

Total kidney proteins (40 µg) were separated by 10% SDS-PAGE and transferred to a PDVF membrane in a TransBlot turbo (Bio-Rad™, Hercules, CA, USA) following the manufacturer’s protocols. The PDVF membranes were incubated 2 h at room temperature in phosphate buffered saline containing 0.05% Tween-20 and 5% non-fat dry milk (PBS-T) to block nonspecific antibody binding. The membranes were then probed with primary either anti-CNF 1 (abcam™, Cambridge, CB2 0AX, UK) or anti-β actin (Santa Cruz, CA, USA, Biotechnology™) antibodies (1:3000) overnight at 4 °C. After four washes with PBS-T, complexes were detected by incubation for 1 h at room temperature with the appropriate secondary antibody using an enhanced chemiluminescence protein detection kit, Wester Lightning Plus-ECL (Perkin Elmer™, Waltham, MA, USA).

2.7. Ethical Approval Statement

The protocol was approved by the institutional bioethics committee of the University of Guanajuato. All experiments and procedures were performed in accordance with current Mexican legislations (NOM-062-ZOO-1999).

3. Results

3.1. Macroscopic Characteristics of Pig Kidneys

Pig kidneys were collected at a slaughterhouse in Irapuato, Guanajuato, Mexico. At the first sanitary inspection all pigs were apparently healthy. However, after slaughter some kidneys showed a yellowish coloration. For this reason, a total of 24 kidneys were collected from different pigs. Intentionally, 12 kidneys with yellowish coloration and 12 kidneys with normal (red) coloration were searched, selected and sagittally dissected. Thus, kidneys were classified according to their macroscopic characteristics into reddish kidneys (RK) without apparent damage (Figure 1A), and yellowish kidneys (YK) with possible damage (Figure 1B).

3.2. Inflammatory Cell Infiltration in Pig Kidney Tissues

To determine whether the yellowish kidneys were from a pig with a possible infection or inflammatory process, a kidney slice from the renal cortex was evaluated histologically by hematoxylin and eosin staining. Interestingly, cellular infiltrate and inflammatory cells were observed in all collected kidneys, despite macroscopic differences (Figure 2). However, the number of cells was lower in the cellular infiltrate in RK (Figure 2A,B), compared to YK (Figure 2C,D), which was verified by counting the infiltrating inflammatory cells in some RK and YK samples (Figure 3).

3.3. Detection of the 16S Subunit of the Bacterial Ribosome and E. coli Strain Identification

During the processing and storage of pork, it has been found that the food products are often contaminated with different bacterial strains. Thus, identification of the 16S rRNA gene was performed by conventional PCR. Unexpectedly, the 16S subunit was detected in all kidneys regardless of macroscopic differences. Figure 4 shows PCR amplification of the 16S ribosomal subunit in six different samples in RK (RK1–6) and six different samples in YK (YK1–6) (Figure 4A,B, respectively).
Because E. coli strains have commonly been found to be associated with illnesses caused by ingestion of contaminated food, specific primers for E. coli were used to determine the presence of these bacteria in pig kidneys. Surprisingly, Figure 4C,D show that E. coli was detected in both RK and YK samples. However, in some YK samples, the amplified product was smaller than in RK samples.
A DNA sample from the small intestinal microbiota of C57BL/6 mice was used as a positive control for both 16S ribosomal subunit detection and E. coli identification.

3.4. CNF-1 Toxin Detection

Regardless of the macroscopic characteristics of the pig kidneys, both E. coli strains and leukocyte cell infiltration were detected in all samples included. However, because YK showed apparent damage, detection of the CNF-1 toxin was performed by conventional PCR. The CNF-1 toxin is expressed by pathogenic bacteria such as E. coli, including UPEC strains which can invade the genitourinary tract and colonize both the bladder and kidney. Unexpectedly, amplification of the cnf-1 gene fragment was found in all kidney samples analyzed (Figure 5). Although it is important to note that dim bands of the amplified products were detected in some RK and YK samples. The amplification of 16S ribosomal subunit was used as an internal control.
In addition, the protein expression levels of the CNF-1 toxin were determined by Western blotting. Consistently, Figure 6 shows that the CNF-1 toxin was detected in all kidney samples analyzed. However, it is important to note that CNF-1 toxin protein levels were higher in YK compared to RK. It is important to note that with the antibodies used in this assay, the 2 bands observed correspond to 110- and 115-kDa detecting CNF1 and CNF2, respectively [27]. Expression of β actin was used as an internal control.

4. Discussion

To date, the food industry faces the important challenge of reducing the risks of consuming pork meat infected or contaminated by bacteria, as well as its derivatives such as sausages. Different parts of the pig, such as fat, blood and viscera, such as kidneys, are usually used for the preparation of these products, representing a significant risk to human health [28,29,30]. In this study, E. coli was detected by conventional PCR and the CNF-1 toxin was also separately detected using both conventional PCR and Western blot assay in kidneys of apparently healthy pigs from a slaughterhouse in Irapuato, Guanajuato, Mexico, suggesting that the consumption of this pork, as well as processing of products from the viscera of these infected pigs, may represent a significant health risk to humans.
Here, our first findings were made by direct observation in the slaughterhouse, detecting coloration changes and macroscopic differences in kidneys of different pigs. We found that some pig kidneys had a normal reddish coloration (with no apparent damage), while others had a yellowish coloration (with visible damage like hydronephrosis). Renal disorders such as polycystic kidney disease (PKD), a hereditary disorder [31], hydronephrosis [32] and pyelonephritis [33,34] are commonly found in pigs. Interestingly, infection with pyelonephritis-inducing E. coli has been detected in slaughter pigs and sows [33]. Likewise, genetic homology has been detected between bacteria infecting both food-producing animals and humans, particularly in E. coli [35]. In addition, it is important to mention that meat and meat products can be contaminated at different stages of the food chain, from the slaughterhouse during evisceration to the processing stage, as well as cross-contamination of the food environment and failure to cook meat properly [36,37,38].
It is well known that the consumption of meat by humans is a potential route of transmission of antimicrobial resistance, and food-producing animals have been associated as a major reservoir of resistant bacterial strains, including E. coli [38,39]. Unexpectedly, this study found cellular infiltrate and inflammatory cells in all collected kidneys, regardless of macroscopic differences. This suggests that the presence of the inflammatory cell infiltrate in the kidneys was induced by some pathogenic microorganism. Inflammatory cellular infiltrate has been detected in both hydronephrosis and porcine PDK [40,41], which is mainly induced by bacterial infections such as: E. coli and Actinobaculum suis [42,43]. E. coli strains can be classified as pathogenic or commensal and are an important indicator of fecal contamination in food and the food industry. They have also been used as sentinel bacteria to assess antimicrobial resistance in animals and humans. E. coli strains can easily survive and spread in diverse environments, so they can be isolated from a variety of sources, such as feces, manure, water and foods of animal and plant origin [44,45].
As mentioned above, E. coli has been associated with hydronephrosis and increased inflammatory cell infiltrate in pigs. Herein, we observed yellowish kidneys with apparent damage and a significant leukocyte infiltrate. We decided to determine the presence of E. coli bacteria. Surprisingly, E. coli was detected by conventional PCR assay in all kidney samples collected. Although specific characterization of the E. coli strain was not performed, the CNF-1 toxin was detected by both conventional PCR and Western blot assay. CNF-1 is a cyclomodulin commonly expressed by UPEC and importantly implicated in renal colonization [46]. In addition, UPEC strains have been associated with cystitis and pyelonephritis [47], and different mechanisms have been related to their invasion, survival, bacterial biofilm formation and inflammation [48,49]. Moreover, other virulence factors associated with UPEC have been identified in food animals such as pigs and poultry [50], including Hemolysin A, which induces kidney damage and apoptosis [51,52,53]. However, the invasiveness of UPEC strains has been mainly associated with the expression of the CNF-1 toxin [48,54], which is a potent stimulator of the immune system inducing cytokine production, increasing inflammation and tissue damage [55,56,57].
Herein, the presence of E. coli and CNF-1 toxin was determined only in kidneys of pigs from a slaughterhouse, but we cannot discard a general infection in these pigs and that E. coli and CNF-1 toxin were present in other organs. Thus, direct consumption of undercooked pork or food products inadequately processed for human consumption could be a possible reservoir of pathogenic E. coli strains. In this regard, it has been widely described that the Shiga toxin-producing enterohemorrhagic Escherichia coli (STEC) strain is mainly transmitted by poultry, cattle and their meat products [58]. The digestive tract of ruminants has been considered the main reservoir of STEC. Therefore, undercooked beef and unpasteurized milk have been considered high-risk foods for STEC infections [38]. For this reason, the food industry has used various physical and chemical methods to control E. coli O157:H7 contamination [59,60]. Although these methods are highly effective, they are not applicable to all foods because they can alter sensory properties, such as color, flavor, texture and general appearance, or produce toxicity [61,62]; which has a significant effect on consumer acceptance. Therefore, alternative methods with biocontrol agents have been developed in recent years [45]. Interestingly, reports on the detection of CNF-1-producing E. coli in naturally infected pigs used in the food industry do not exist. However, extra-intestinal pathogenic E. coli (ExPEC), including UPEC, has been detected in poultry and swine slaughterhouses in Germany [63]. Although CNF-1 has not been identified in pig kidneys, the toxins have been found in weaned pigs [64] and also in carcasses and minced meat of pork, lamb and beef [65]. In addition, CNF1-producing E. coli strains have been detected in various organs of experimentally infected neonatal pigs [66].
Our findings consistently demonstrated the presence of the CNF-1 toxin in all pig kidneys analyzed. However, the results showed differences in gene amplification and protein expression levels of CNF-1 toxin, such as in the YK3 sample. Since CNF-1 expression is regulated by norepinephrine, a hormone produced by the adrenal glands; it is possible that the presence of the CNF-1 producing UPEC strains alters renal function. Thus, it has been previously shown that low levels of norepinephrine increase CNF-1 toxin expression, whereas high levels interfere with CNF-1 expression [67]. Additionally, the differences in E. coli detection and CNF-1 levels may be due to pathogenicity and virulence of the E. coli strains [66].
On the other hand, it is well known that antimicrobial-resistant bacterial infections are more prevalent in low- and middle-income countries than in developed countries. Worldwide, foodborne infections are a leading cause of morbidity and mortality in humans. Zoonotic microbes can spread through different pathways, including the environment, animals, humans and the food chain. Thus, although antimicrobial drugs are used to treat infections in humans and animals, as well as prophylactically in production agriculture, it is common that food can be contaminated with pathogenic microorganisms from the farm, slaughterhouse and processing for the consumer [68]. Therefore, it is very important that multidisciplinary approaches should be implemented globally to control the spread of foodborne pathogens and promote food safety and security.
It is very important to underline that we did not identify the source of contamination of pig kidneys from the slaughterhouse. However, we can suggest that (1) the presence of E. coli and the CNF-1 toxin in pig kidneys is the result of the constant use of antibiotics on pig farms, which has led to bacterial resistance to antibiotics, (2) contamination during slaughtering and processing techniques of pork at the slaughterhouse, and (3) improper handling and maintenance of pigs on farms through contamination of feed and drinking water.

5. Conclusions

In conclusion, in this study we demonstrated contamination by CNF-1 toxin-producing E. coli in pig kidneys in a slaughterhouse, even in those without apparent damage. This suggests that pork may serve as a reservoir for pathogens and that direct consumption of undercooked meat or processed products from infected pigs and their consumption could be a major human health concern.

Author Contributions

Formal analysis, E.R.-M.; Funding acquisition, S.L.-B. and M.A.H.-L.; Methodology, A.H.-V., R.A.-A. and D.H.-C.; Supervision, M.A.H.-L.; Writing—original draft, M.A.H.-L.; Writing—review and editing, S.L.-B. All authors contributed comments for the final draft. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by CONACyT (Grant number I1200/338/2021), and DAIP, Universidad de Guanajuato (Grant number 248/2021).

Data Availability Statement

Data available: The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors would like to thank the members of “Cuerpo Académico de Biomedicina Traslacional” for their critical comments on this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Havelaar, A.H.; Kirk, M.D.; Torgerson, P.R.; Gibb, H.J.; Hald, T.; Lake, R.J.; Praet, N.; Bellinger, D.C.; de Silva, N.R.; Gargouri, N.; et al. World Health Organization Global Estimates and Regional Comparisons of the Burden of Foodborne Disease in 2010. PLoS Med. 2015, 12, e1001923. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. WHO. Foodborne Diseases. Available online: https://www.who.int/health-topics/foodborne-diseases#tab=tab_2 (accessed on 7 April 2023).
  3. Abebe, E.; Gugsa, G.; Ahmed, M. Review on Major Food-Borne Zoonotic Bacterial Pathogens. J. Trop. Med. 2020, 2020, 4674235. [Google Scholar] [CrossRef] [PubMed]
  4. Yousefi, H.; Su, H.M.; Imani, S.M.; Alkhaldi, K.; Filipe, M.C.D.; Didar, T.F. Intelligent Food Packaging: A Review of Smart Sensing Technologies for Monitoring Food Quality. ACS Sens. 2019, 4, 808–821. [Google Scholar] [CrossRef]
  5. Brewer, M.S. Irradiation effects on meat flavor: A review. Meat Sci. 2009, 81, 1–14. [Google Scholar] [CrossRef]
  6. Rahman, S.M.E.; Wang, J.; Oh, D.-H. Synergistic effect of low concentration electrolyzed water and calcium lactate to ensure microbial safety, shelf life and sensory quality of fresh pork. Food Control 2013, 30, 176–183. [Google Scholar] [CrossRef]
  7. Coll Cárdenas, F.; Andrés, S.; Giannuzzi, L.; Zaritzky, N.E. Antimicrobial action and effects on beef quality attributes of a gaseous ozone treatment at refrigeration temperatures. Food Control 2011, 2, 6. [Google Scholar] [CrossRef]
  8. Foster, J.W. Escherichia coli acid resistance: Tales of an amateur acidophile. Nat. Rev. Microbiol. 2004, 2, 898–907. [Google Scholar] [CrossRef]
  9. Vincent, C.; Boerlin, P.; Daignault, D.; Dozois, C.M.; Dutil, L.; Galanakis, C.; Reid-Smith, R.J.; Tellier, P.P.; Tellis, P.A.; Ziebell, K.; et al. Food reservoir for Escherichia coli causing urinary tract infections. Emerg. Infect. Dis. 2010, 16, 88–95. [Google Scholar] [CrossRef] [PubMed]
  10. Boireau, C.; Morignat, É.; Cazeau, G.; Jarrige, N.; Jouy, É.; Haenni, M.; Madec, J.Y.; Leblond, A.; Gay, É. Antimicrobial resistance trends in Escherichia coli isolated from diseased food-producing animals in France: A 14-year period time-series study. Zoonoses Public Health 2018, 65, e86–e94. [Google Scholar] [CrossRef]
  11. Ramchandani, M.; Manges, A.R.; DebRoy, C.; Smith, S.P.; Johnson, J.R.; Riley, L.W. Possible animal origin of human-associated, multidrug-resistant, uropathogenic Escherichia coli. Clin. Infect. Dis. 2005, 40, 251–257. [Google Scholar] [CrossRef]
  12. Schroeder, C.M.; White, D.G.; Ge, B.; Zhang, Y.; McDermott, P.F.; Ayers, S.; Zhao, S.; Meng, J. Isolation of antimicrobial-resistant Escherichia coli from retail meats purchased in Greater Washington, DC, USA. Int. J. Food Microbiol. 2003, 85, 197–202. [Google Scholar] [CrossRef] [PubMed]
  13. Tseng, M.; Fratamico, P.M.; Manning, S.D.; Funk, J.A. Shiga toxin-producing Escherichia coli in swine: The public health perspective. Anim. Health Res. Rev. 2014, 15, 63–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Khan, S.B.; Zou, G.; Xiao, R.; Cheng, Y.; Rehman, Z.U.; Ali, S.; Memon, A.M.; Fahad, S.; Ahmad, I.; Zhou, R. Prevalence, quantification and isolation of pathogenic shiga toxin Escherichia coli O157:H7 along the production and supply chain of pork around Hubei Province of China. Microb. Pathog. 2018, 115, 93–99. [Google Scholar] [CrossRef] [PubMed]
  15. Terlizzi, M.E.; Gribaudo, G.; Maffei, M.E. UroPathogenic Escherichia coli (UPEC) Infections: Virulence Factors, Bladder Responses, Antibiotic, and Non-antibiotic Antimicrobial Strategies. Front. Microbiol. 2017, 8, 1566. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Manges, A.R.; Smith, S.P.; Lau, B.J.; Nuval, C.J.; Eisenberg, J.N.; Dietrich, P.S.; Riley, L.W. Retail meat consumption and the acquisition of antimicrobial resistant Escherichia coli causing urinary tract infections: A case-control study. Foodborne Pathog. Dis. 2007, 4, 419–431. [Google Scholar] [CrossRef] [Green Version]
  17. Jakobsen, L.; Hammerum, A.M.; Frimodt-Møller, N. Virulence of Escherichia coli B2 isolates from meat and animals in a murine model of ascending urinary tract infection (UTI): Evidence that UTI is a zoonosis. J. Clin. Microbiol. 2010, 48, 2978–2980. [Google Scholar] [CrossRef] [Green Version]
  18. Garza-Ramos, U.; Tamayo-Legorreta, E.; Arellano-Quintanilla, D.M.; Rodriguez-Medina, N.; Silva-Sanchez, J.; Catalan-Najera, J.; Rocha-Martínez, M.K.; Bravo-Díaz, M.A.; Alpuche-Aranda, C. Draft Genome Sequence of a Multidrug- and Colistin-Resistant mcr-1-Producing Escherichia coli Isolate from a Swine Farm in Mexico. Genome Announc. 2018, 6, 1–2. [Google Scholar] [CrossRef] [Green Version]
  19. Shah, C.; Baral, R.; Bartaula, B.; Shrestha, L.B. Virulence factors of uropathogenic Escherichia coli (UPEC) and correlation with antimicrobial resistance. BMC Microbiol. 2019, 19, 204. [Google Scholar] [CrossRef] [Green Version]
  20. da Costa, M.M.; Drescher, G.; Maboni, F.; Weber, S.; de Avila Botton, S.; Vainstein, M.H.; Schrank, I.S.; de Vargas, A.C. Virulence factors and antimicrobial resistance of Escherichia coli isolated from urinary tract of swine in southern of Brazil. Braz. J. Microbiol. 2008, 39, 741–743. [Google Scholar] [CrossRef]
  21. Davis, J.M.; Rasmussen, S.B.; O’Brien, A.D. Cytotoxic necrotizing factor type 1 production by uropathogenic Escherichia coli modulates polymorphonuclear leukocyte function. Infect. Immun. 2005, 73, 5301–5310. [Google Scholar] [CrossRef] [Green Version]
  22. Davis, J.M.; Carvalho, H.M.; Rasmussen, S.B.; O’Brien, A.D. Cytotoxic necrotizing factor type 1 delivered by outer membrane vesicles of uropathogenic Escherichia coli attenuates polymorphonuclear leukocyte antimicrobial activity and chemotaxis. Infect. Immun. 2006, 74, 4401–4408. [Google Scholar] [CrossRef] [Green Version]
  23. Wang, M.H.; Kim, K.S. Cytotoxic necrotizing factor 1 contributes to Escherichia coli meningitis. Toxins 2013, 5, 2270–2280. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Fabbri, A.; Travaglione, S.; Rosadi, F.; Ballan, G.; Maroccia, Z.; Giambenedetti, M.; Guidotti, M.; Ødum, N.; Krejsgaard, T.; Fiorentini, C. The Escherichia coli protein toxin cytotoxic necrotizing factor 1 induces epithelial mesenchymal transition. Cell Microbiol. 2020, 22, e13138. [Google Scholar] [CrossRef] [PubMed]
  25. Guo, Y.; Zhang, Z.; Wei, H.; Wang, J.; Lv, J.; Zhang, K.; Keller, E.T.; Yao, Z.; Wang, Q. Cytotoxic necrotizing factor 1 promotes prostate cancer progression through activating the Cdc42-PAK1 axis. J. Pathol. 2017, 243, 208–219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Yamamoto, S.; Terai, A.; Yuri, K.; Kurazono, H.; Takeda, Y.; Yoshida, O. Detection of urovirulence factors in Escherichia coli by multiplex polymerase chain reaction. FEMS Immunol. Med. Microbiol. 1995, 12, 85–90. [Google Scholar] [CrossRef] [PubMed]
  27. De Rycke, J.; González, E.A.; Blanco, J.; Oswald, E.; Blanco, M.; Boivin, R. Evidence for two types of cytotoxic necrotizing factor in human and animal clinical isolates of Escherichia coli. J. Clin. Microbiol. 1990, 28, 694–699. [Google Scholar] [CrossRef]
  28. Ed-Dra, A.; Filali, F.R.; Karraouan, B.; El Allaoui, A.; Aboulkacem, A.; Bouchrif, B. Prevalence, molecular and antimicrobial resistance of Salmonella isolated from sausages in Meknes, Morocco. Microb. Pathog. 2017, 105, 340–345. [Google Scholar] [CrossRef]
  29. Tew, L.S.; She, L.Y.; Chew, C.H. Isolation, Antimicrobial Susceptibility Profile and Detection of Sul 1, bla TEM, and bla SHV in Amoxicillin-Clavulanate-Resistant Bacteria Isolated From Retail Sausages in Kampar, Malaysia. Jundishapur J. Microbiol. 2016, 9, e37897. [Google Scholar] [CrossRef] [Green Version]
  30. Tóth, I.; Oswald, E.; Mainil, J.; Awad-Masalmeh, M.; Nagy, B. Porcine postweaning diarrhea isolates of Escherichia coli with uropathogenic characters. Adv. Exp. Med. Biol. 2000, 485, 331–333. [Google Scholar] [CrossRef]
  31. Bergmann, C.; Guay-Woodford, L.M.; Harris, P.C.; Horie, S.; Peters, D.J.M.; Torres, V.E. Polycystic kidney disease. Nat. Rev. Dis. Primers 2018, 4, 50. [Google Scholar] [CrossRef]
  32. Eskild-Jensen, A.; Jacobsen, L.; Christensen, H.; Frøkiaer, J.; Jørgensen, H.S.; Djurhuus, J.C.; Jørgensen, T.M. Renal function outcome in unilateral hydronephrosis in newborn pigs. II. Function and volume of contralateral kidneys. J. Urol. 2001, 165, 205–209. [Google Scholar] [CrossRef] [PubMed]
  33. Isling, L.K.; Aalbaek, B.; Schrøder, M.; Leifsson, P.S. Pyelonephritis in slaughter pigs and sows: Morphological characterization and aspects of pathogenesis and aetiology. Acta Vet. Scand. 2010, 52, 48. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Isling, L.K.; Aalbæk, B.; Birck, M.M.; Heegaard, P.M.; Leifsson, P.S. Host response to porcine strains of Escherichia coli in a novel pyelonephritis model. J. Comp. Pathol. 2011, 144, 257–268. [Google Scholar] [CrossRef] [PubMed]
  35. Leverstein-van Hall, M.A.; Dierikx, C.M.; Cohen Stuart, J.; Voets, G.M.; van den Munckhof, M.P.; van Essen-Zandbergen, A.; Platteel, T.; Fluit, A.C.; van de Sande-Bruinsma, N.; Scharinga, J.; et al. Dutch patients, retail chicken meat and poultry share the same ESBL genes, plasmids and strains. Clin. Microbiol. Infect. 2011, 17, 873–880. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Rincón-Gamboa, S.M.; Poutou-Piñales, R.A.; Carrascal-Camacho, A.K. Antimicrobial Resistance of Non-Typhoid. Foods 2021, 10, 1731. [Google Scholar] [CrossRef]
  37. Rega, M.; Carmosino, I.; Bonilauri, P.; Frascolla, V.; Vismarra, A.; Bacci, C. Prevalence of ESβL, AmpC and Colistin-Resistant. Microorganisms 2021, 9, 214. [Google Scholar] [CrossRef]
  38. Rega, M.; Andriani, L.; Cavallo, S.; Bonilauri, P.; Bonardi, S.; Conter, M.; Carmosino, I.; Bacci, C. Antimicrobial Resistant. Foods 2022, 11, 3662. [Google Scholar] [CrossRef]
  39. Jaja, I.F.; Oguttu, J.; Jaja, C.I.; Green, E. Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa. PLoS ONE 2020, 15, e0216914. [Google Scholar] [CrossRef]
  40. Diamond, J.R. Macrophages and progressive renal disease in experimental hydronephrosis. Am. J. Kidney Dis. 1995, 26, 133–140. [Google Scholar] [CrossRef]
  41. Guler, S.; Simen, S.; Hurton, S.; Molinari, M. Diagnosis and treatment modalities of symptomatic polycystic kidney disease. In Polycystic Kidney Disease, 1st ed.; Codon Publications: Brisbane, Australia, 2015; pp. 75–94. [Google Scholar]
  42. Carr, J.; Walton, J.R. Bacterial flora of the urinary tract of pigs associated with cystitis and pyelonephritis. Vet. Rec. 1993, 132, 575–577. [Google Scholar] [CrossRef]
  43. Almanjd, P.; Bilkei, G. Evaluation of pyelonephritis in culled indoor and outdoor high parity sows. Dtsch. Tierarztl. Wochenschr. 2008, 115, 34–37. [Google Scholar] [PubMed]
  44. Sacher-Pirklbauer, A.; Klein-Jöbstl, D.; Sofka, D.; Blanc-Potard, A.B.; Hilbert, F. Phylogenetic Groups and Antimicrobial Resistance Genes in Escherichia coli from Different Meat Species. Antibiotics 2021, 10, 1543. [Google Scholar] [CrossRef] [PubMed]
  45. Puligundla, P.; Lim, S. Biocontrol Approaches against Escherichia coli O157:H7 in Foods. Foods 2022, 11, 756. [Google Scholar] [CrossRef] [PubMed]
  46. Rippere-Lampe, K.E.; O’Brien, A.D.; Conran, R.; Lockman, H.A. Mutation of the gene encoding cytotoxic necrotizing factor type 1 (cnf(1)) attenuates the virulence of uropathogenic Escherichia coli. Infect. Immun. 2001, 69, 3954–3964. [Google Scholar] [CrossRef] [Green Version]
  47. Mulvey, M.A. Adhesion and entry of uropathogenic Escherichia coli. Cell Microbiol. 2002, 4, 257–271. [Google Scholar] [CrossRef]
  48. Bien, J.; Sokolova, O.; Bozko, P. Role of Uropathogenic Escherichia coli Virulence Factors in Development of Urinary Tract Infection and Kidney Damage. Int. J. Nephrol. 2012, 2012, 681473. [Google Scholar] [CrossRef] [Green Version]
  49. Martinez, J.J.; Mulvey, M.A.; Schilling, J.D.; Pinkner, J.S.; Hultgren, S.J. Type 1 pilus-mediated bacterial invasion of bladder epithelial cells. EMBO J. 2000, 19, 2803–2812. [Google Scholar] [CrossRef]
  50. Jakobsen, L.; Garneau, P.; Kurbasic, A.; Bruant, G.; Stegger, M.; Harel, J.; Jensen, K.S.; Brousseau, R.; Hammerum, A.M.; Frimodt-Møller, N. Microarray-based detection of extended virulence and antimicrobial resistance gene profiles in phylogroup B2 Escherichia coli of human, meat and animal origin. J. Med. Microbiol. 2011, 60, 1502–1511. [Google Scholar] [CrossRef]
  51. Justice, S.S.; Hunstad, D.A. UPEC hemolysin: More than just for making holes. Cell Host Microbe 2012, 11, 4–5. [Google Scholar] [CrossRef] [Green Version]
  52. Jonas, D.; Schultheis, B.; Klas, C.; Krammer, P.H.; Bhakdi, S. Cytocidal effects of Escherichia coli hemolysin on human T lymphocytes. Infect. Immun. 1993, 61, 1715–1721. [Google Scholar] [CrossRef]
  53. Russo, T.A.; Davidson, B.A.; Genagon, S.A.; Warholic, N.M.; Macdonald, U.; Pawlicki, P.D.; Beanan, J.M.; Olson, R.; Holm, B.A.; Knight, P.R. E. coli virulence factor hemolysin induces neutrophil apoptosis and necrosis/lysis in vitro and necrosis/lysis and lung injury in a rat pneumonia model. Am. J. Physiol. Lung Cell Mol. Physiol. 2005, 289, L207–L216. [Google Scholar] [CrossRef] [PubMed]
  54. Chung, J.W.; Hong, S.J.; Kim, K.J.; Goti, D.; Stins, M.F.; Shin, S.; Dawson, V.L.; Dawson, T.M.; Kim, K.S. 37-kDa laminin receptor precursor modulates cytotoxic necrotizing factor 1-mediated RhoA activation and bacterial uptake. J. Biol. Chem. 2003, 278, 16857–16862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Gall-Mas, L.; Fabbri, A.; Namini, M.R.J.; Givskov, M.; Fiorentini, C.; Krejsgaard, T. The Bacterial Toxin CNF1 Induces Activation and Maturation of Human Monocyte-Derived Dendritic Cells. Int. J. Mol. Sci. 2018, 19, 1408. [Google Scholar] [CrossRef] [Green Version]
  56. Haraoka, M.; Hang, L.; Frendéus, B.; Godaly, G.; Burdick, M.; Strieter, R.; Svanborg, C. Neutrophil recruitment and resistance to urinary tract infection. J. Infect. Dis. 1999, 180, 1220–1229. [Google Scholar] [CrossRef] [PubMed]
  57. Yang, H.; Li, Q.; Wang, C.; Wang, J.; Lv, J.; Wang, L.; Zhang, Z.S.; Yao, Z.; Wang, Q. Cytotoxic Necrotizing Factor 1 Downregulates CD36 Transcription in Macrophages to Induce Inflammation During Acute Urinary Tract Infections. Front. Immunol. 2018, 9, 1987. [Google Scholar] [CrossRef] [PubMed]
  58. Li, Y.K.; Chen, H.; Shu, M.; Zhong, C.; Bi, Y.; Yang, H.H.; Wu, G.P. Isolation, characterization and application of an alkaline resistant virulent bacteriophage JN01 against Escherichia coli O157:H7 in milk and beef. LWT Food Sci. Technol. 2021, 144, 111266. [Google Scholar] [CrossRef]
  59. Wang, R.; Zhou, Y.; Kalchayanand, N.; Harhay, D.M.; Wheeler, T.L. Effectiveness and Functional Mechanism of a Multicomponent Sanitizer against Biofilms Formed by Escherichia coli O157:H7 and Five Salmonella Serotypes Prevalent in the Meat Industry. J. Food Prot. 2020, 83, 568–575. [Google Scholar] [CrossRef]
  60. He, Q.; Guo, M.; Jin, T.Z.; Arabi, S.A.; Liu, D. Ultrasound improves the decontamination effect of thyme essential oil nanoemulsions against Escherichia coli O157: H7 on cherry tomatoes. Int. J. Food Microbiol. 2021, 337, 108936. [Google Scholar] [CrossRef]
  61. Towery, P.; Guffey, J.S.; Motts, S.; Brown, K.; Harrell, G.; Hobson, T.; Patton, C. Sensory Evaluation of Cucumbers Treated with Blue Light. J. Allied Health 2018, 47, e17–e21. [Google Scholar]
  62. Durak, M.Z.; Churey, J.J.; Gates, M.; Sacks, G.L.; Worobo, R.W. Decontamination of green onions and baby spinach by vaporized ethyl pyruvate. J. Food Prot. 2012, 75, 1012–1022. [Google Scholar] [CrossRef]
  63. Savin, M.; Bierbaum, G.; Kreyenschmidt, J.; Schmithausen, R.M.; Sib, E.; Schmoger, S.; Käsbohrer, A.; Hammerl, J.A. Clinically Relevant Escherichia coli Isolates from Process Waters and Wastewater of Poultry and Pig Slaughterhouses in Germany. Microorganisms 2021, 9, 698. [Google Scholar] [CrossRef] [PubMed]
  64. Tóth, I.; Oswald, E.; Mainil, J.G.; Awad-Masalmeh, M.; Nagy, B. Characterization of intestinal cnf1+ Escherichia coli from weaned pigs. Int. J. Med. Microbiol. 2000, 290, 539–542. [Google Scholar] [CrossRef]
  65. Kadhum, H.J.; Ball, H.J.; Oswald, E.; Rowe, M.T. Characteristics of cytotoxic necrotizing factor and cytolethal distending toxin producing Escherichia coli strains isolated from meat samples in Northern Ireland. Food Microbiol. 2006, 23, 491–497. [Google Scholar] [CrossRef]
  66. Wray, C.; Piercy, D.W.; Carroll, P.J.; Cooley, W.A. Experimental infection of neonatal pigs with CNF toxin-producing strains of Escherichia coli. Res. Vet. Sci. 1993, 54, 290–298. [Google Scholar] [CrossRef] [PubMed]
  67. Gümüş, D.; Kalaycı Yüksek, F.; Sefer, Ö.; Yörük, E.; Uz, G.; Anğ Küçüker, M. The roles of hormones in the modulation of growth and virulence genes’ expressions in UPEC strains. Microb. Pathog. 2019, 132, 319–324. [Google Scholar] [CrossRef] [PubMed]
  68. Samtiya, M.; Matthews, K.R.; Dhewa, T.; Puniya, A.K. Antimicrobial Resistance in the Food Chain: Trends, Mechanisms, Pathways, and Possible Regulation Strategies. Foods 2022, 11, 2966. [Google Scholar] [CrossRef]
Figure 1. Macroscopic Characteristics of Pig Kidneys. Pig kidneys were sagittally dissected. Reddish kidneys (RK) without apparent damage and yellowish kidneys with possible damage (YK) are shown in (A,B), respectively.
Figure 1. Macroscopic Characteristics of Pig Kidneys. Pig kidneys were sagittally dissected. Reddish kidneys (RK) without apparent damage and yellowish kidneys with possible damage (YK) are shown in (A,B), respectively.
Microorganisms 11 02065 g001
Figure 2. Cellular infiltration in pig kidney tissues. A slice of renal cortex was evaluated histologically by hematoxylin and eosin staining and analyzed by conventional light microscopy at 20× and 40× magnification, respectively. Cellular infiltrate was observed in both reddish kidney (A,B) and yellowish kidney tissue (C,D). The arrows indicate the cellular infiltrate in each sample.
Figure 2. Cellular infiltration in pig kidney tissues. A slice of renal cortex was evaluated histologically by hematoxylin and eosin staining and analyzed by conventional light microscopy at 20× and 40× magnification, respectively. Cellular infiltrate was observed in both reddish kidney (A,B) and yellowish kidney tissue (C,D). The arrows indicate the cellular infiltrate in each sample.
Microorganisms 11 02065 g002
Figure 3. Quantitative assessment of inflammatory cell infiltrate. Cellular infiltration was analyzed by conventional light microscopy, counting 10 different fields of each kidney sample. The bars represent the average of the infiltrating inflammatory cell counts in at least 5 different RK (black bar) and YK (gray bar) samples, respectively. * p < 0.05 by U-Mann–Whitney test.
Figure 3. Quantitative assessment of inflammatory cell infiltrate. Cellular infiltration was analyzed by conventional light microscopy, counting 10 different fields of each kidney sample. The bars represent the average of the infiltrating inflammatory cell counts in at least 5 different RK (black bar) and YK (gray bar) samples, respectively. * p < 0.05 by U-Mann–Whitney test.
Microorganisms 11 02065 g003
Figure 4. Detection of bacterial ribosome 16S subunit and E. coli identification. Total DNA was purified from renal cortex tissue. Amplification of 16S ribosomal subunit and E. coli specific gene was performed by end-point PCR. Amplification of the 16S ribosome subunit (A,B) and the E. coli-specific gene (C,D) is shown in six different samples of reddish kidneys (RK 1–6) and six different samples of yellowish kidneys (YK1–6), respectively. As a positive control for both 16S ribosome subunit and E. coli, a mouse intestinal microbiota DNA sample was used.
Figure 4. Detection of bacterial ribosome 16S subunit and E. coli identification. Total DNA was purified from renal cortex tissue. Amplification of 16S ribosomal subunit and E. coli specific gene was performed by end-point PCR. Amplification of the 16S ribosome subunit (A,B) and the E. coli-specific gene (C,D) is shown in six different samples of reddish kidneys (RK 1–6) and six different samples of yellowish kidneys (YK1–6), respectively. As a positive control for both 16S ribosome subunit and E. coli, a mouse intestinal microbiota DNA sample was used.
Microorganisms 11 02065 g004
Figure 5. Gene amplification of cnf-1. Total DNA was purified from renal cortex tissue. Gene amplification of cnf-1 was performed by endpoint PCR. The cnf-1 gen is shown in four different samples of reddish kidneys (RK 1–4) and four different samples of yellowish kidneys (YK1–4), respectively. Amplification of the 16S ribosomal subunit was used as a control.
Figure 5. Gene amplification of cnf-1. Total DNA was purified from renal cortex tissue. Gene amplification of cnf-1 was performed by endpoint PCR. The cnf-1 gen is shown in four different samples of reddish kidneys (RK 1–4) and four different samples of yellowish kidneys (YK1–4), respectively. Amplification of the 16S ribosomal subunit was used as a control.
Microorganisms 11 02065 g005
Figure 6. Detection of CNF-1 protein expression levels. Total protein was purified from renal cortex and subjected to SDS-PAGE. CNF-1 toxin protein was determined by Western blot assay. The protein expression levels of CNF-1 toxin are shown in three different reddish kidney samples (RK 1–3) and three different yellowish kidney samples (YK1–3), respectively. Detection of β-actin was used as a control to compare CNF-1 toxin expression levels.
Figure 6. Detection of CNF-1 protein expression levels. Total protein was purified from renal cortex and subjected to SDS-PAGE. CNF-1 toxin protein was determined by Western blot assay. The protein expression levels of CNF-1 toxin are shown in three different reddish kidney samples (RK 1–3) and three different yellowish kidney samples (YK1–3), respectively. Detection of β-actin was used as a control to compare CNF-1 toxin expression levels.
Microorganisms 11 02065 g006
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Herrera-Vázquez, A.; Arellano-Aranda, R.; Hernández-Cueto, D.; Rodríguez-Miranda, E.; López-Briones, S.; Hernández-Luna, M.A. Detection of Cyclomodulin CNF-1 Toxin-Producing Strains of Escherichia coli in Pig Kidneys at a Slaughterhouse. Microorganisms 2023, 11, 2065. https://doi.org/10.3390/microorganisms11082065

AMA Style

Herrera-Vázquez A, Arellano-Aranda R, Hernández-Cueto D, Rodríguez-Miranda E, López-Briones S, Hernández-Luna MA. Detection of Cyclomodulin CNF-1 Toxin-Producing Strains of Escherichia coli in Pig Kidneys at a Slaughterhouse. Microorganisms. 2023; 11(8):2065. https://doi.org/10.3390/microorganisms11082065

Chicago/Turabian Style

Herrera-Vázquez, Arturo, Rebeca Arellano-Aranda, Daniel Hernández-Cueto, Esmeralda Rodríguez-Miranda, Sergio López-Briones, and Marco Antonio Hernández-Luna. 2023. "Detection of Cyclomodulin CNF-1 Toxin-Producing Strains of Escherichia coli in Pig Kidneys at a Slaughterhouse" Microorganisms 11, no. 8: 2065. https://doi.org/10.3390/microorganisms11082065

APA Style

Herrera-Vázquez, A., Arellano-Aranda, R., Hernández-Cueto, D., Rodríguez-Miranda, E., López-Briones, S., & Hernández-Luna, M. A. (2023). Detection of Cyclomodulin CNF-1 Toxin-Producing Strains of Escherichia coli in Pig Kidneys at a Slaughterhouse. Microorganisms, 11(8), 2065. https://doi.org/10.3390/microorganisms11082065

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