| Literature DB >> 32190228 |
Ahmad Farajzadeh-Sheikh1,2, Mohammad Savari1,2, Hossein Hosseini Nave3, Khadijeh Ahmadi Ahmadi2, Maryam Afzali2.
Abstract
AIM: This study aimed to investigate the frequency and molecular epidemiology of class A ESBLs producing Enteroinvasive Escherichia coli (EIEC) isolates among patients with diarrhea.Entities:
Keywords: Diarrhea; ESBLs; Enteroinvasive Escherichia coli; MLVA
Year: 2020 PMID: 32190228 PMCID: PMC7069536
Source DB: PubMed Journal: Gastroenterol Hepatol Bed Bench ISSN: 2008-2258
Primers used in this study to detect ipaH and ESBLs genes
| Gene | Primer Sequence (5´-3´) | Amplicon Size (bp) | Annealing Temperature(°C) | Reference |
|---|---|---|---|---|
|
| F-GAAAACCCTCCTGGTCCATCAGG | 437 | 61 |
|
|
| F-GGTTAAAAAATCACTGCGTC | 863 | 54 | |
|
| F-CACACGTGGAATTTAGGGACT | 995 | 55 | |
|
| F-GGTTAAAAAATCACTGCGTC | 850 | 60 | |
|
| F-GCTATGTGGCGCGGTATTAT | 189 | 56 | |
|
| F-CCTCATTCAGTTCCGTTTCC | 389 | 56 | |
|
| F-CGTCTAGTTCTGCTGTCTTG | 538 | 59 | |
|
| F-ATGCGCTTCATTCACGCAC | 860 | 59 |
Locus-specific PCR primers selected for MLVA
| Locus | Primer Sequence | Repeat Size (bp) | AnnealingTemperature (°C) |
|---|---|---|---|
|
| F-AAACGGGAGAGCCGGTTATT | 39 | 57 |
|
| F-GTCAGTTCGCCCAGACACAG | 39 | 57 |
|
| F-GTGCCATCGGGCAAAATTAG | 179 | 57 |
|
| F-GAAACAGGCCCAGGCTACAC | 96 | 57 |
|
| F-GCTGATGGCGAAGGAGAAGA | 141 | 57 |
|
| F-GCTCCGCTGATTGACTCCTT | 375 | 57 |
|
| F-TGAGATTGCCGAAGTGTTGC | 101 | 57 |
Distribution EIEC strains according to seasons, age, gender and clinical symptoms
| Strain ID | Sex | Age (month) | Seasonality | clinical symptoms |
|---|---|---|---|---|
| EIEC 1 | Female | 0-12 | Spring | Watery stool, Abdominal pain, Vomiting |
| EIEC 2 |
| 0-12 | Spring | Watery stool, Abdominal pain, Fever |
| EIEC 3 | Male | 0-12 | Summer | Watery stool, Vomiting, , Fever |
| EIEC 4 | Male | 13-24 | Summer | Watery stool, Abdominal pain, |
| EIEC 5 | Male | 0-12 | Summer | Watery stool, Abdominal pain, Fever |
| EIEC 6 | Female | 49-60 | Summer | Watery stool, Abdominal pain |
| EIEC 7 | Male | 0-12 | Summer | Abdominal pain, Vomiting |
| EIEC 8 | Female | 0-12 | Spring | Watery stool |
| EIEC 9 | Male | 13-24 | Winter | Watery stool, Abdominal pain |
| EIEC 10 | Male | 0-12 | Summer | Watery stool, Abdominal pain, Vomiting |
| EIEC 11 | Female | 49-60 | Summer | Watery stool |
| EIEC 12 | Male | 13-24 | Winter | Abdominal pain, Vomiting |
The antibiotic susceptibility testing results of EIEC isolates
| Antimicrobial | Susceptible | Resistant |
|---|---|---|
| Cefotaxime | 4 (30.7%) | 9 (69%) |
| Ceftriaxone | 4 (30.7%) | 9 (69%) |
| Ceftazidime | 6 (46.1%) | 7 (53.8%) |
| Imipenem | 11 (84.6%) | 2 (15.3%) |
| Ciprofloxacin | 13 (100%) | 0 (0%) |
| Tetracycline | 3 (23%) | 10 (76.9%) |
| Trimethoprim/Sulfamethoxazole | 2 (15.3%) | 11 (84.6%) |
| Gentamicin | 6 (46.1%) | 7 (53.8%) |
| Amikacin | 10 (76.9%) | 3 (23%) |
| Ampicillin | 0 (0%) | 13 (100%) |
| Aztreonam | 8 (61.5%) | 5 (38.4%) |
| Colistin sulfate | 12 (92.3%) | 1 (7.6%) |
Antibiotic resistance phenotypic patterns of EIEC isolates
| Resistance Pattern | Phenotypic resistance | Number of resistant EIEC isolates (%) |
|---|---|---|
| I |
| 2 (15.3%) |
| II | AMP, SXT | 1 (7.6%) |
| III | AMP, SXT, TET | 1 (7.6%) |
| IV | AMP, SXT, TET, CTX, CRO, GM | 2 (15.3%) |
| V | AMP, SXT, TET, CTX, CRO, CAZ, GM | 1 (7.6%) |
| VI | AMP, SXT, TET, CTX, CRO, CAZ, GM, CO | 1 (7.6%) |
| VII | AMP, SXT, TET, CTX, CRO, CAZ, ATM, AK | 2 (15.3%) |
| VIII | AMP, SXT, TET, CTX, CRO, CAZ, ATM, GM, AK | 1 (7.6%) |
| IX | AMP, SXT, TET, CTX, CRO, CAZ, ATM, GM, IMP | 2 (15.3%) |
CTX: cefotaxime, CRO: ceftriaxone, CAZ: ceftazidime, AK: amikacin , IMP: imipenem, CO:colistin sulfate, GM: gentamicin, ATM: aztreonam, SXT: Sulfamethoxazole-trimethoprim, TET: tetracycline, AMP: ampicillin
Figure 1Dendrogram representing the genetic diversity of nine ESBL producer-EIEC Isolates by MLVA; class A β-lactamase genes; Antibiotic resistance patterns
Figure 2Minimal Spanning Tree of 9 ESBL producer-EIEC Isolates. Categorical coefficient was used to construct the MST, showing the distances and the genetic relationships between the ESBLs genes-harboring EIEC isolates