Next Article in Journal
Discovery of Novel Derivatives of Catechin Gallate with Antimycobacterial Activity from Kirkia wilmsii Engl. Extracts
Previous Article in Journal
Cefiderocol for Treatment of Ventriculitis (4MRGN A. baumannii)—Results of Therapeutic Drug Monitoring in Blood and Cerebrospinal Fluid
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Antibiotics
Volume 15
Issue 2
10.3390/antibiotics15020140
antibiotics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

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

Fluoroquinolone Resistance Patterns in Multidrug-Resistant Escherichia coli from the Gut Microbiota of Young Children

by
Ludmila Suzhaeva
1,
Svetlana Egorova
1,
Dmitrii Polev
2,
Alina Saitova
2 and
Daria Starkova
1,*
1
Laboratory of Identification of the Pathogens, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
2
Laboratory of Metagenomics Research, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
*
Author to whom correspondence should be addressed.
Antibiotics 2026, 15(2), 140; https://doi.org/10.3390/antibiotics15020140
Submission received: 24 December 2025 / Revised: 26 January 2026 / Accepted: 26 January 2026 / Published: 31 January 2026
Browse Figures
Versions Notes

Abstract

Background/Objectives: The high prevalence of fluoroquinolone-resistant E. coli in healthy children represents a significant public-health risk, facilitating the spread of antimicrobial resistance and increasing the potential for difficult-to-treat extraintestinal infections with severe clinical outcomes. This study aimed to investigate the prevalence of fluoroquinolone resistance in multidrug-resistant E. coli isolated from presumptively healthy children in St. Petersburg, Russia, with a particular focus on fluoroquinolone resistance determinants. Methods: Phenotypic AST was performed on 307 E. coli isolates from fecal pediatric samples, comprising 230 isolates from 2012 to 2013 and 77 isolates from 2021 to 2022. A subset (n = 47) of MDR isolates underwent whole-genome sequencing. Results: The frequency of MDR E. coli strains rose significantly from 15.7% to 32.5% over the study period. The most significant increases in resistance among E. coli strains were to third-generation cephalosporins (CTX, CTZ) and fluoroquinolones (CIP), rising fourfold over a decade. Based on phenotypic resistance profiles of MDR E. coli to quinolones, the highest resistance rates were observed for MFX (80.9%) followed by NAL (74.5%), LVX (44.7%) and CIP (40.4%). Genotypic analysis revealed distinct pathways: low-level NAL resistance required only an S83 mutation in gyrA, whereas low-level MFX resistance was predominantly conferred by a plasmid-borne qnr gene. In contrast, resistance to CIP and LVX involved at least three QRDR mutations: S83L and D87N/Y in gyrA, and S80I in parC. Notably, our study showed the predominance of the ST131 and ST38 clones in E. coli isolated from pediatric samples. Conclusions: Our findings suggest that the efficacy of moxifloxacin for empirical treatment of infections caused by MDR E. coli might be severely compromised. Overall, the current study highlights that the pediatric gut microbiota serves as a reservoir for resistant E. coli with the expansion of multidrug-resistant clones independently of direct antibiotic selection pressure.

1. Introduction

Quinolones are a class of synthetic antimicrobial agents with a broad spectrum of antibacterial activity. The progenitor of this class, nalidixic acid, was introduced into clinical practice in the 1960s for the treatment of uncomplicated urinary tract infections caused by enteric bacteria. A pivotal advancement came with the introduction of a fluorine atom at the C-6 position of the quinolone structure, leading to the development of fluoroquinolones (FQs), which exhibit improved biological activity as well as pharmacokinetic and pharmacodynamic properties [1,2]. Currently, four generations of these drugs are in clinical use, employed against a wide range of infections, including urogenital and intra-abdominal infections, infections of the eyes, skin, soft tissues, and respiratory tract, as well as tuberculosis [3,4].
Quinolones exert their antibacterial effect by targeting two essential bacterial type II topoisomerases: DNA gyrase and topoisomerase IV, which are critical for DNA replication, transcription, and chromosome segregation. FQs trap these enzymes by forming a lethal ternary cleavage complex, comprising an antibiotic-topoisomerase-cleaved DNA complex. This complex prevents DNA religation, leading to the accumulation of these complexes in the cytoplasm and initiating pathways that result in bacterial cell death [5,6].
Bacteria have evolved several distinct mechanisms to facilitate survival in the presence of FQs. These include: (1) chromosomal mutations in the quinolone resistance-determining region (QRDR) of DNA gyrase (gyrA, gyrB) and topoisomerase IV (parC, parE) genes, which weaken drug-enzyme binding; (2) plasmid-mediated quinolone resistance (PMQR), conferred by the expression of two families of genes—qnr (encoding proteins that protect target enzymes) and aac(6′)-Ib-cr (encoding a variant of aminoglycoside acetyltransferase that acetylates norfloxacin and ciprofloxacin); (3) overexpression of efflux pumps that reduce the intracellular concentration of FQs; (4) downregulation of outer membrane porins, reducing drug influx. The accumulation of these resistance mechanisms within bacterial strain drives the evolution of high-level quinolone resistance [7,8,9].
During the first two decades of widespread FQ use, the emergence of resistance during treatment was rare. Nowadays, numerous studies have reported a steady increase in resistance to FQs among both Gram-positive and Gram-negative microorganisms worldwide [10]. Although FQs are not prescribed for patients under 18 years of age due to their potential musculoskeletal toxicity and other adverse effects, high resistance rates to these antibiotics have been reported in E. coli isolated from children aged 1–17, posing a potential threat for managing urinary tract infections and subsequent complications [11,12,13,14,15,16,17]. An important aspect is that the rate of fecal carriage of FQ-resistant E. coli in healthy individuals is often higher than that in patients with nosocomial or community-acquired infections, indicating its widespread persistence as a part of the commensal gut microbiota. For example, a study in Spain (1997) [18] found the prevalence of FQ-resistant E. coli to be 24% in adults and 26% in children, while resistant strains accounted for only 17% of isolates obtained from patients in clinical settings. Since the emergence of FQ resistance in children is not associated with direct fluoroquinolone therapy, the transmission of resistant isolates likely occurs through contact between adults and children within households and childcare facilities, as well as via contact with household pets and the consumption of contaminated food or water. This community-based transmission steadily expands the reservoir of resistant bacteria independent of the selection pressure on isolates from patients during treatment regimen. Thus, the high prevalence of FQ-resistant E. coli in healthy children represents a significant risk for the spread of antimicrobial resistance and the development of difficult-to-treat extraintestinal infections with more severe clinical outcomes.
Despite the global rise in fluoroquinolone-resistant E. coli, data on the prevalence and molecular mechanisms of this resistance in the gut microbiota of young children, particularly in Russia, remain scarce. This study aimed to investigate the prevalence of fluoroquinolone resistance in E. coli isolated from presumably healthy children in St. Petersburg, Russia, with a particular focus on fluoroquinolone resistance determinants in multidrug-resistant E. coli.
The current research addresses the scarcity of data regarding multidrug-resistant E. coli carriage among presumptively healthy young children. Here, we present a large-scale investigation of phenotypic resistance to 12 antimicrobial agents for 307 E. coli isolates collected from children’s gut microbiota across the periods 2012–2013 and 2021–2022. Using whole-genome sequencing, we provide a comprehensive analysis of 47 MDR isolates with particular focus on genotypic determinants of resistance to four generations of quinolones and fluoroquinolones—nalidixic acid, ciprofloxacin, levofloxacin, and moxifloxacin.

2. Results

2.1. Phenotypic Antimicrobial Susceptibility Testing (AST) of E. coli Strains

Phenotypic AST was performed on 307 E. coli isolates from pediatric samples, comprising 230 isolates from 2012 to 2013 and 77 isolates from 2021 to 2022. The proportion of isolates resistant to each antimicrobial agent was determined using clinical breakpoints. The change in resistance frequencies over the 10-year period is shown in Figure 1.
The obtained data indicated a significant increase in E. coli resistance: for 9 of the 12 antibiotics tested, the frequency of resistant strains increased at least two-fold. However, the most striking increases in resistance among E. coli strains were to third- and fourth- generation cephalosporins (CTX, CTZ, FEP) and fluoroquinolones (CIP), rising from 10.4, 5.7, 7.4 and 3.0% in 2012–2013 to 39.0, 20.8, 23.4 and 13.0% in 2021–2022, respectively. Out of the 12 antimicrobials, the highest resistance rate was observed for AMP, which doubled over 10 years (from 30.4 to 61.0%). In contrast, the lowest resistance was to aminoglycosides (AMI). All isolates (100%) were fully susceptible to carbapenems- specifically MEM. Furthermore, the prevalence of MDR strains was also assessed. The frequency of MDR strains increased significantly over the study period, from 15.7% in 2012–2013 to 32.5% in 2021–2022.
Next, since all CIP-resistant strains were multidrug-resistant, we selected a subset of 47 MDR E. coli strains, comprising 19 CIP-resistant isolates, and subjected them to additional phenotypic AST against levofloxacin (LVX), moxifloxacin (MFX) and nalidixic acid (NAL). All selected strains were isolated from young children aged 1 month to 7 years old (mean age, 1 year 9 month). The MIC frequency distributions of the 47 MDR E. coli isolates for 15 antimicrobial agents are presented in Table S1.
Based on phenotypic AST profiles to quinolones/fluoroquinolones, the 47 E. coli strains were categorized into eight distinct resistance groups, designated as Groups 0–7 (Table 1). Six out of 47 isolates were susceptible to all four antimicrobial agents, whereas 19 isolates showed full resistance to all of them. Among resistant isolates, the highest resistance rates were observed for MFX (38/47, 80.9%) and NAL (35/47, 74.5%), followed by LVX (21/47, 44.7%) and CIP (19/47, 40.4%). It is worth noting that 11 of the 19 isolates (57.9%) in Group 1 were isolated from infants under one year of age (2 to 11 months).
Among the 19 FQ-resistant isolates from Group 1, all isolates (100%) were resistant to AMP and TMP/SMX, while 15 of 19 (78.9%) were resistant to TET. Notably, eight of the 19 FQ-resistant isolates (42.1%) were resistant to all of the other six antibiotic classes tested (aminopenicillins, β-lactams, cephalosporins, aminoglycosides, TMP/SMX, tetracycline, phenicol), while the remaining 11 isolates (57.9%) were resistant to at least three classes.

2.2. Genotypic Resistance Patterns to Quinolones/Fluoroquinolones in E. coli Strains

To investigate the mechanisms of resistance to quinolones/fluoroquinolones, whole-genome sequencing of 47 MDR E. coli strains was performed, followed by an investigation of the phenotypic and genotypic resistance patterns.
None of the six wild-type isolates in Group 0 had chromosomal QRDR mutations or plasmid-mediated quinolone resistance (PMQR) genes in their genomes. A total of nine point mutations in the QRDR were identified in Groups 1–7: four in the gyrA (S83L; S83A; D87N; D87Y), three in parC (S80I; E84V; E84G), and two in parE (I529L; S458A). The most frequent mutations were S83L in gyrA gene (59.6%), followed by S80I in parC and I529L in parE (38.3%, each). No mutations were found in the gyrB subunit of DNA gyrase. Three PMQR genes- qnrB4, qnrS1 and aac(6′)-lb-cr- were identified in 18 FQ-resistant isolates (43.9%). Notably, the qnrB4 gene was detected in Groups 5 and 6, whereas the aac(6′)-lb-cr gene was found exclusively in Group 1.
Chromosomal mutations in gyrA and parC genes were predominant in Group 1, while plasmid-mediated genes qnrB4 and qnrS1 were largely carried by isolates from Groups 5–7. In particular, the D87N mutation in gyrA, as well as E84G/N in parC and S458A in parE genes were unique for isolates in Group 1. The point mutation S80I in parC was present in 17/19 (89.5%) resistant strains in Group 1, whereas only one isolate from Groups 2–7 carried this mutation (p < 0.001).
Next, we analyzed the distribution of chromosomal mutations and plasmid-borne genes against the CIP, LVX, MFX and NAL MICs for all 47 E. coli strains (Figure 2).
A total of 17 distinct genotypes were identified. Isolates with a single resistance determinant (either S83A in gyrA or qnr gene) showed low-level resistance to NAL (MIC 12–96 mg/L), MFX (0.5–2 mg/L), LVX (2 mg/L) and susceptibility to CIP (MIC 0.047–0.25 mg/L). However, all isolates in Group 1 with high-level resistance to all four agents were characterized by the presence of at least three mutations: S83Y, D87N/Y in the gyrA and S80I in parC gene. Notably, 10 out of 12 (83.3%) isolates in Groups 5 and 6 harbored a single qnr gene (qnrB4 or qnrS1) without any chromosomal mutations in the QRDR. Conversely, the aac(6′)-lb-cr gene was found only in combination with QRDR mutations in isolates from Group 1.
Among phenotypically susceptible isolates, resistance determinants were common in isolates susceptible to CIP (21/27, 77.8%) and LVX (18/24, 75.0%), but less frequently observed in those susceptible to MFX (3/9, 33.3%). Hence, according to epidemiologic cut-off values the concordance rate between genotypic and phenotypic resistance to quinolones/fluoroquinolones achieved 95.1% for CIP and LVX, 92.7% for MFX and 85.4% for NAL. Notably, all MFX-susceptible isolates that carried resistance determinants showed resistance to NAL, and vice versa, all NAL-susceptible isolates that harbored any determinants showed resistance to MFX. Consequently, the presence of any resistance determinant showed 100% concordance with the combined MFX/NAL phenotypic resistance profiles. This observation implicitly suggests that the complementary phenotypic resistance to NAL and MFX may serve as a predictor for the presence of any genotypic resistance determinant (QRDR mutation or PMQR gene), even when phenotypic susceptibility to CIP and LVX is observed.
Overall, the obtained data demonstrate that the carriage of multiple resistance determinants in the QRDR was associated with stronger phenotypic resistance: the higher the MIC value, the more resistance determinants were detected in E. coli isolates. Notably, five strains in Group 1, exhibiting high-level resistance, harbored two most extensive resistance profiles, each comprising six resistance determinants. Four of these strains were isolated from infants aged 2 to 5 months.

2.3. E. coli Molecular Type Identification and Distribution of Genotypic Resistance Patterns in E. coli Sequence Types

According to WGS analysis of 47 E. coli isolates, 7 phylogenetic groups, 16 sequence types, 21 serotypes, and 12 fimH subclones were identified. The B2/ST131/O25:H4/fimH30 and D/ST38/O153:H30/fimH5 lineages were predominant (19.1 and 23.4%, respectively).
We further investigated the distribution of genotypic resistance profiles across the E. coli molecular types (Figure 3,Table 2).
The current study has demonstrated that certain mutations and quinolone resistance genes were strongly associated with particular E. coli STs. Thus, ST131 exhibited the most diverse genotypic resistance profile, characterized by two to five mutations in the QRDRs and the presence of the aac(6′)-lb-cr PMQR gene; none of the ST131 isolates carried qnr genes. Intriguingly, the E84V in parC and I529L in parE mutations were identified exclusively in ST131 isolates and were absent in all other 15 STs. In contrast, ST38 isolates were typically characterized by the presence of the qnrB4 gene. Resistance determinants in other STs were represented by one to four mutations in the QRDR or the presence of PMQR genes.
According to fimH subtyping, three subclones were identified within the ST131 population: fimH30, fimH27 and fimH41. Among them, the ST131/O25:H4/fimH30 subclone (accounting for 10 CIP- and NAL-resistant strains) was strongly associated with fluoroquinolone resistance, whereas the ST131/O16:H5/fimH41 and ST131/O25:H4/fimH27 subclones were fluoroquinolone-susceptible and comprised six and two CIP-susceptible but NAL-resistant isolates, respectively.

2.4. Association Between Efflux Pump Genes and Antimicrobial Resistance in E. coli Strains

Since multidrug antibiotic resistance is often associated with efflux pumps, we evaluated the presence of efflux pump genes in the 47 E. coli MDR strains and analysed the distribution of these genes in isolates of different groups (Group 0–Group 7) and sequence types. As a result, we found four types of efflux proteins AcrF, MdtM, EmrD, EmrE belonging to three families: RND (Resistance-Nodulation-cell Division family), MFS (Major Facilitator Superfamily), and SMR (Small Multidrug Resistance family). At the same time, no efflux pump genes (qepA, oqxA/B) known to confer resistance to fluoroquinolones were detected.
All 47 strains harbored both AcrF and EmrE. In contrast, EmrD and MdtM were detected in 76.6% (36/47) and 66.0% (31/47) of isolates, respectively. The presence of EmrD was significantly associated with sequence type, being found in all (100%) E. coli ST38 and ST131 isolates but in only 35.3% of other STs (ꭓ2 = 25.343, df = 2, p < 0.001). Similarly, MdtM was prevalent in ST131 (88.9%) and other STs (88.2%), however was absent in all ST38 isolates (ꭓ2 = 31.223, df = 2, p < 0.001).
Analysis of EmrD and MdtM distribution among FQ-resistant E. coli isolates revealed that the frequency of the EmrD efflux gene did not differ significantly between groups. In contrast, the frequency of the MdtM gene was significantly higher in Group 1 compared with both Groups 2–7 and Group 0 (p < 0.05) (Figure 4).

3. Discussion

Antimicrobial resistance represents a paramount global health challenge, prioritized by the World Health Organization (WHO) as one of the top ten global public health concerns [19]. Driven primarily by antibiotic overuse, AMR has led to the emergence and spread of multidrug-resistant (MDR) bacteria, thereby contributing to the worldwide resistance crisis and undermining existing programs for infection prevention and control. Our study calls attention to the reservoir of MDR E. coli in presumptively healthy young children with a specific focus on the fluoroquinolone resistance patterns. Although fluoroquinolone usage is strictly limited in pediatric patients, the emergence and prevalence of resistant strains are abundant and have increased substantially over the past decade. According to previous reports, the carriage of quinolone-resistant E. coli in children reached 9.3% in Poland, 22.0% in Spain, 17.6% in China, 52.0% in India, 31.1% in Iran, and 26.9–67.7% in Vietnam [20,21,22,23,24,25,26].
This study provides the first comprehensive investigation of antibiotic resistance patterns in E. coli collected from children’s gut microbiota across 2012–2013 and 2021–2022 in St. Petersburg, Russia. It is worth noting that the 2021–2022 collection period coincided with strict COVID-19 lockdown measures, which accounts for the smaller sample size (n = 77) compared to the prior cohort size (n = 230). Nevertheless, over this decade, we observed a two-fold increase in the prevalence of MDR E. coli, alongside a dramatic fourfold rise in resistance to both fluoroquinolones and cephalosporines. It is worth noting that the COVID-19 pandemic in 2020–2021 triggered a sharp rise in levofloxacin use in Russia. A systematic review indicates that roughly 70% of COVID-19 patients in both outpatient and hospital settings were prescribed systemic antibiotics, predominantly fluoroquinolones (2.82 DID* in 2019 vs. 3.86 DID in 2020; *defined daily dose (DDD) per 1000 inhabitants per day (DID)). Levofloxacin consumption, in particular, nearly doubled from 0.64 DID in 2019 to 1.33 DID in 2020. Thus, consumption of fluoroquinolone antibacterial drugs increased by 210% over this period [27,28].
Overall, these alarming trends in resistance to high-priority antimicrobial agents severely complicate the management of community-acquired infections and the development of subsequent complications, posing a protentional risk of fatal outcomes for children under one year of age. Moreover, the presence of MDR E. coli in healthy children affects the composition of commensal microbiota, which may acquire resistance genes and act as a reservoir of bacterial resistance, potentially becoming the dominant population even in the absence of antibiotic selective pressure. While antimicrobial stewardship is crucial to reduce antibiotic overuse, a study by Tchesnokova et al. [29] suggests that merely decreasing antimicrobial prescriptions (ciprofloxacin, in particular) was insufficient to curb the community spread of resistant E. coli, which continued to increase and develop co-resistance. This finding indicates that supplemental measures, such as the identification of carriers, may also be necessary.
The factors driving the emergence and transmission of MDR isolates in a community setting are multifactorial, encompassing changes in antibiotic use and treatment strategies, bacterial transmission dynamics and microbial evolution. However, the detection of fluoroquinolone-resistant E. coli strains in fluoroquinolone-naïve children suggests that resistance is likely acquired from external sources, such as from the mother during childbirth, the hospital environment, contact with family members or pets, or via contaminated water and food [30,31,32]. Numerous studies have shown that E. coli from healthy children was more frequently resistant to fluoroquinolones compared to E. coli from children with diarrhea, and also that young children have the highest risk of carrying antibiotic-resistant commensal bacteria in community settings [24,33].
E. coli is a highly genetically diverse microorganism with a significant capacity for evolution through gene modification and acquisition. Crucially, E. coli employs all known mechanisms to develop resistance, such as limiting drug uptake, modifying drug targets, inactivating drugs, and active drug efflux [34]. In the case of quinolone resistance, the primary mechanism involves chromosomal mutations in the highly conserved target region QRDR of DNA gyrase and topoisomerase IV. Secondary mechanisms, such as plasmid-mediated quinolone resistance (PMQR) genes (with the qnrS1 being the most effective against FQs) and efflux pump overexpression, also contribute to resistance development [35,36].
While single gyrA mutations often confer resistance to nalidixic acid, resistance to later-generation fluoroquinolones (CIP, LVX, MFX) typically requires multiple mutations. Surprisingly, our findings revealed the highest resistance rate for the fourth-generation agent MFX (80.9%), followed by NAL (74.5%), LVX (44.7%) and CIP (40.4%). Moreover, while the initial S83L/A chromosomal mutation in gyrA was sufficient to confer low-level resistance to NAL, resistance to MFX was more frequently associated with the presence of plasmid-borne qnr genes. Our data suggest that despite its newer-generation status, MFX has an unexpectedly low genetic barrier to resistance in E. coli. This suggests that the antibacterial activity of moxifloxacin against E. coli is vulnerable, as the presence of a single PMQR gene can compromise its efficacy.
In contrast, resistance to CIP and LVX still develops through a multistep evolutionary process, involving the accumulation of multiple QRDR mutations. According to the current results, isolates that have evolved fluoroquinolone resistance (CIP) harbored at least three mutations: S83L and D87N/Y in gyrA, and S80I in parC. Although the S83L mutation in gyrA is widely recognized as conferring high-level resistance to ciprofloxacin and levofloxacin, our study found no association between this mutation and resistance to CIP and LVX, while the D87 mutation emerged as a more critical determinant for fluoroquinolone resistance. Furthermore, our findings underscore the critical role of a combination of the D87 mutation in gyrA and the S80I in parC in the development of CIP and LVX resistance, suggesting a synergistic effect in driving fluoroquinolone resistance development. Intriguingly, Teichmann et al. demonstrated that a set of mutations in the QRDR confers high-level resistance to fluoroquinolones with minimal overall fitness cost, highlighting the vital role of genetic background and epistatic interactions in the evolution of fluoroquinolone resistance [37]. Thus, accumulating evidence strongly suggests that the fitness advantage conferred by these specific mutations appears to have been crucial, not only for the global dissemination of MDR lineages but also for their circulation within communities even in environments with no fluoroquinolone use, enabling them to spread within healthcare settings [38,39].
Besides target chromosomal mutations, our results demonstrate that plasmid-borne genes contribute to phenotypic profile of 2nd and 3rd generation fluoroquinolones. While single qnrB4 and qnrS1 genes were found exclusively in CIP- and LVX-susceptible isolates, the aac(6′)-lb-cr gene was detected only in isolates with high-level CIP and LVX resistance and always in combination with at least four QRDR mutations. Previous studies have shown that the aac(6′)-lb-cr acetyltransferase variant substantially facilitates the selection of mutations in DNA gyrase and topoisomerase IV under ciprofloxacin exposure [40,41,42]. Thus, the acquisition of aac(6′)-lb-cr PMQR gene along with a set of QRDR mutations leads to heightened fluoroquinolones resistance. Moreover, plasmid-borne resistance genes not only contribute to an additive effect that increases the MIC value, but also expand the diversity and abundance of the gut resistome [43,44]. Consequently, the rising prevalence of MDR E. coli in children’s microbiota increases the risk of horizontal gene transfer to other gut commensals and pathogens, potentially compromising future therapeutic options.
Efflux pumps represent one of the most ubiquitous and active transporter families in E. coli, capable of conferring multidrug resistance by extruding a broad spectrum of antimicrobial agents [35]. In this study, four efflux proteins AcrF, MdtM, EmrD, EmrE were identified. Among these, the AcrF and EmrE pumps were ubiquitous, present in all 47 E. coli isolates, whereas the prevalence of MdtM was significantly higher in isolates resistant to all four quinolone agents: NAL, CIP, LVX and MFX. The AcrF is a component of the AcrEF-TolC multidrug efflux pump, which is typically silent or weakly expressed. However, when activated under stress conditions, AcrF in cooperation with MdtM can form a well-coordinated transport system for the expulsion of antimicrobial compounds [45]. We also observed that the prevalence of the MdtM efflux pump was lineage-dependent: MdtM was present in the majority (88.9%) of ST131 E. coli but absent in all ST38 isolates. This finding suggests that the ST131 clone employs distinct evolutionary pathways and genetic strategies for developing multidrug resistance: the stress-responsive induction of MdtM together with AcrEF-TolC may confer a selective advantage that contributes to the global dominance of the multidrug-resistant ST131 clone.
Our data indicate that the dominant clone was ST131—the most successful pandemic fluoroquinolone-resistant clone worldwide and a leading cause of urinary tract infections. Notably, the dominant resistant lineage varies geographically: ST1193 is predominant in China, while ST692 is more common in Nigeria [21,46].
Furthermore, we observed significant lineage-specific divergence in the prevalence of resistance determinants. The exclusive presence of parC E84V and parE I529L mutations in ST131 isolates may suggest a particular adaptive evolutionary pathway for this clone. As the I529L mutation in the parE gene is relatively rare, its emergence likely represents a later step in fluoroquinolone resistance development. Gradual accumulation of mutations—first in gyrA, then parC and finally parE—appears compatible with the ST131 genomic background, enabling high-level resistance without significant fitness costs. This evolutionary trajectory aligns with the reconstruction of evolutionary events by Ben Zakour et al. [47], who demonstrated that fluoroquinolone resistance mutations in ST131 emerged alongside the antibiotic’s clinical introduction in North America post-1986, facilitating the clone’s rapid global expansion. However, they note that a critical prerequisite for this success was the prior acquisition of virulence and colonization factors, which occurred before the emergence of gyrA and parC mutations. The authors describe this convergence of events as a “perfect storm” for multidrug-resistant pathogen evolution.
In contrast, ST38 isolates were typically characterized by the presence of the qnrB4 plasmid gene. This observation may indicate a greater initial dependence on horizontal gene transfer for low-level resistance with slower accumulation of chromosomal QRDR mutations, possibly due to higher fitness constraints or different ecological pressures.
We acknowledge several limitations in this study. First, all samples were isolated from children in St. Petersburg and do not represent other regions, so the obtained results may not fully reflect the overall resistance patterns in Russia. Second, among the 47 MDR isolates, we identified 16 sequence types, creating an imbalance that limits robust statistical comparisons of resistance patterns across all lineages.

4. Materials and Methods

4.1. Sample Collection, Selection of Bacterial Isolates, Bacterial Isolation, and Antimicrobial Susceptibility Testing

A collection of 307 E. coli strains isolated from the gut microbiota of conditionally healthy children (aged 1 month to 17 years) at the St. Petersburg Pasteur Institute, was used in this study. The collection comprised 230 isolates from 2012 to 13 (mean age: 2 years 10 months) and 77 isolates from 2021 to 22 (mean age: 3 years 7 months). Participants had not received antimicrobial therapy for at least one year prior to enrollment. Children were recruited during either a routine pediatric visit (well-child checkup) or standard clinical and laboratory investigations at the Medical Center of the St. Petersburg Pasteur Institute. All participants (or their legal guardians) provided signed informed consent to participate.
The strains were isolated on Endo-agar medium and identified to the species level using routine biochemical tests and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry with an Autof MS1000 (Autobio Labtec Instruments Co., Ltd., Zhengzhou, China). Of the initial 307 strains, 47 multidrug-resistant E. coli isolates were selected. Among these, 41 were resistant to at least one quinolone (NAL, CIP, LVX, MFX) as well as to at least one antibiotic from the highest-priority therapeutic classes (third-/fourth-generation cephalosporins and aminoglycosides), while the remaining six fully susceptible strains were used as controls. All 47 strains were isolated from children aged 1 month to 7 years.

4.2. Phenotypic Antimicrobial Susceptibility Testing (AST)

Phenotypic antimicrobial susceptibility testing for 307 E. coli strains was performed by the disk diffusion method against 13 antimicrobial agents: ampicillin (AMP) 10 µg, ceftazidime (CTZ) 10 µg, cefotaxime (CTX) 5 µg, cefepime (FEP) 30 µg, meropenem (MEM) 10 µg, ciprofloxacin (CIP) 5 µg, gentamicin (GEN) 10 µg, tobramycin (TOB) 10 µg, amikacin (AMI) 30 µg, tetracycline (TET) 30 µg, chloramphenicol (CHL) 30 µg, and trimethoprim/sulfamethoxazole (TMP/SMX) 1.25/23.75 µg. Interpretation of susceptibility and resistance was performed according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST, 2025) clinical breakpoint interpretation [48]. E. coli isolates that demonstrated resistance to three or more different classes of antimicrobials were assigned as multidrug resistant (MDR).
The susceptibility of the 47 strains to CIP and to the additional agents MFX and LVX agents was studied using the serial broth dilution method with an Automated Microorganism Identification and Antimicrobial Susceptibility Testing Analyzer AutoMic-i600 (Autobio Labtec Instruments Co., Ltd., Zhengzhou, China). In parallel, the minimum inhibitory concentrations (MICs) of nalidixic acid (NAL) and CIP for the 47 E. coli strains were determined by the gradient diffusion method using E-tests (bioMérieux, Marcy-l’Étoile, France) and Mueller Hinton agar (Condalab, Madrid, Spain). Strain phenotypes wild-type (WT) or non-wild-type, (NWT) were assigned by comparing the MICs to the epidemiological cut-off (ECOFF) values provided by EUCAST (NAL-8 mg/L, CIP-0.06 mg/L, LVX-0.125 mg/L, MFX-0.25 mg/L).

4.3. DNA Extraction, Whole-Genome Sequencing (WGS) and Bioinformatics Analysis

WGS was performed on the 47 quinolone-resistant multidrug-resistant E. coli isolates. Genomic DNA was extracted using the QIAamp DNA Mini Kit (QIAGEN GmbH, Hilden, Germany) according to the manufacturer’s guidelines. The DNA concentration was quantified on a Qubit 4.0 fluorometer. DNA libraries were constructed via enzymatic fragmentation using the Fragmentation Through Polymerization (FTP) method, followed by ligation of universal adapters and PCR-based barcoding using the Universal Adapter (MDI) Module (Nanodigmbio Biotechnology Co., Ltd., Nanjing, China), as described previously [49]. Libraries were sequenced on a DNBSEQ-G50 platform (MGI Tech Co., Shenzhen, China). Paired-end sequencing was performed, yielding 2 × 150 bp reads.
The raw paired-end reads were analyzed using FastQC software (v.0.12.1; Babraham Institute, Cambridge, UK), then trimmed by Trim Galore! (Version 0.6.7; Babraham Institute, Cambridge, UK) and assembled de novo by the SPAdes assembler software (version 3.13.1; St. Petersburg State University, St. Petersburg, Russia). The assembled genome sequences for the 47 isolates were deposited in the NCBI GenBank under the project number PRJNA1386987: Genetic sequencing for surveillance of Multidrug-Resistant Escherichia coli in Pediatric Gut Microbiota.
The obtained sequences were analyzed for antimicrobial resistance genes (ARGs) detection using the ResFinder 4.5.0 and AmrFinder Plus platforms. The molecular typing of E. coli isolates was performed using MLST 2.0, SerotypeFinder 2.0, Ectyper 2.0.0, and CHTyper 1.0 with default parameters.

4.4. Statistical Analysis

Statistical analysis was performed using the SPSS 13 software package. We used Pearson’s chi-square (χ2) test and Fisher’s Exact Test to determine the significance of differences. The 95% confidence intervals for proportions and frequencies were calculated using the Wilson method.

5. Conclusions

This study presents the first investigation of antibiotic resistance patterns with a particular focus on fluoroquinolone resistance in E. coli from the gut microbiota of presumptively healthy children in St. Petersburg, Russia, spanning the periods 2012–2013 and 2021–2022. Over this decade, we observed a drastic increase in the prevalence of multidrug-resistant E. coli alongside rising fluoroquinolones and cephalosporins resistance. These trends significantly impede the management of community-acquired infections and represent a potential threat of severe complications and fatal outcomes for infants under one year of age.
Among quinolone-resistant strains, the highest resistance rate was demonstrated for moxifloxacin, frequently associated with a single plasmid-borne qnr gene. This suggests a surprisingly low genetic barrier to moxifloxacin resistance, potentially compromising its empirical use against circulating MDR E. coli. In contrast, resistance to levofloxacin and ciprofloxacin develops through multiple mutations in the QRDR. The synergistic combination of gyrA (S83L, D87N/Y) and parC (S80I) was identified as critical for high-level resistance to both agents. Rare mutations in parC (E84V, E84G) and parE (I529L, S458A) were identified in isolates exhibiting the highest resistance levels. Crucially, the current study revealed lineage-specific divergence in the prevalence of resistance determinants: the parC E84V and parE I529L mutations were exclusive to the high-risk clone ST131, whereas the ST38 clone was typically characterized by the presence of the qnrB4 plasmid gene. These results underscore the distinct evolutionary trajectories and ecological adaptations of these clones.
Overall, our findings highlight that the pediatric gut microbiota serves as a reservoir for resistant E. coli with the expansion of multidrug-resistant high-risk clones independently of direct antibiotic selection pressure. The high prevalence of fluoroquinolone-resistant E. coli in healthy children calls for enhanced ongoing surveillance of antimicrobial resistance in commensal populations as a key preventive strategy to guide antibiotic stewardship programs and restrain the further evolution and spread of resistance.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/antibiotics15020140/s1, Table S1: MIC frequency distributions for 47 MDR E. coli isolates from young children (2012–2013 (n = 26) and 2021–2022 (n = 21)).

Author Contributions

Software, formal analysis, visualization, conceptualization, resources, investigation—L.S.; validation, methodology, data curation, supervision, writing—review and editing, project administration—S.E.; software, formal analysis—D.P.; software, formal analysis—A.S.; writing—original draft preparation, formal analysis—D.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Independent Ethics Committee of St. Petersburg Pasteur Institute (No. 20, 29 May 2012).

Informed Consent Statement

Informed consent was obtained from all study participants. All patient-related data were anonymized prior to analysis. All study procedures were conducted in accordance with relevant guidelines and regulations.

Data Availability Statement

All data of this study are presented in the article. The assembled genome sequences for all isolates are available under NCBI BioProject number PRJNA1386987: Genetic sequencing for surveillance of Multidrug-Resistant Escherichia coli in Pediatric Gut Microbiota.

Conflicts of Interest

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

Abbreviations

The following abbreviations are used in this manuscript:
WGSWhole-genome sequencing
FQsFluoroquinolones
ASTAntimicrobial susceptibility testing
WTWild-type
AMPAmpicillin
CTZCeftazidime
CTXCefotaxime
FEPCefepime
MEMMeropenem
NFTNitrofurantoin
NALNalidixic acid
CIPCiprofloxacin
MFXMoxifloxacin
LVXLevofloxacin
TETTetracycline
MDRMultidrug resistance
CHLChloramphenicol
TMP/SMXTrimethoprim/Sulfamethoxazole
GENGentamycin
TOBTobramycin
AMIAmikacin

References

  1. Bush, N.G.; Diez-Santos, I.; Abbott, L.R.; Maxwell, A. Quinolones: Mechanism, Lethality and Their Contributions to Antibiotic Resistance. Molecules 2020, 25, 5662. [Google Scholar] [CrossRef] [PubMed]
  2. Millanao, A.R.; Mora, A.Y.; Villagra, N.A.; Bucarey, S.A.; Hidalgo, A.A. Biological Effects of Quinolones: A Family of Broad-Spectrum Antimicrobial Agents. Molecules 2021, 26, 7153. [Google Scholar] [CrossRef] [PubMed]
  3. Rusu, A.; Lungu, I.A.; Moldovan, O.L.; Tanase, C.; Hancu, G. Structural Characterization of the Millennial Antibacterial (Fluoro)Quinolones-Shaping the Fifth Generation. Pharmaceutics 2021, 13, 1289. [Google Scholar] [CrossRef]
  4. Espinosa-Pereiro, J.; Sánchez-Montalvá, A.; Aznar, M.L.; Espiau, M. MDR Tuberculosis Treatment. Medicina 2022, 58, 188. [Google Scholar] [CrossRef]
  5. Spencer, A.C.; Panda, S.S. DNA Gyrase as a Target for Quinolones. Biomedicines 2023, 11, 371. [Google Scholar] [CrossRef]
  6. Hooper, D.C.; Jacoby, G.A. Topoisomerase Inhibitors: Fluoroquinolone Mechanisms of Action and Resistance. Cold Spring Harb. Perspect. Med. 2016, 6, a025320. [Google Scholar] [CrossRef]
  7. Stapleton, A.E.; Wagenlehner, F.M.E.; Mulgirigama, A.; Twynholm, M. Escherichia coli Resistance to Fluoroquinolones in Community-Acquired Uncomplicated Urinary Tract Infection in Women: A Systematic Review. Antimicrob. Agents Chemother. 2020, 64, e00862-20, Erratum in Antimicrob. Agents Chemother. 2022, 66, e0220921. https://doi.org/10.1128/AAC.02209-21. [Google Scholar] [CrossRef]
  8. Kot, B. Antibiotic Resistance Among Uropathogenic Escherichia coli. Pol. J. Microbiol. 2019, 68, 403–415. [Google Scholar] [CrossRef]
  9. Nasrollahian, S.; Graham, J.P.; Halaji, M. A review of the mechanisms that confer antibiotic resistance in pathotypes of E. coli. Front. Cell. Infect. Microbiol. 2024, 14, 1387497. [Google Scholar] [CrossRef]
  10. Dalhoff, A. Global fluoroquinolone resistance epidemiology and implictions for clinical use. Interdiscip. Perspect. Infect. Dis. 2012, 2012, 976273. [Google Scholar] [CrossRef]
  11. Li, Y.; Wang, J.; Wang, C.; Chen, L. Safety analysis of quinolones use in minors-based on the FAERS database. Front. Med. 2024, 11, 1437376. [Google Scholar] [CrossRef]
  12. Choi, S.H.; Kim, E.Y.; Kim, Y.J. Systemic use of fluoroquinolone in children. Korean J. Pediatr. 2013, 56, 196–201. [Google Scholar] [CrossRef] [PubMed]
  13. Kawalec, A.; Józefiak, J.; Kiliś-Pstrusińska, K. Urinary Tract Infection and Antimicrobial Resistance Patterns: 5-Year Experience in a Tertiary Pediatric Nephrology Center in the Southwestern Region of Poland. Antibiotics 2023, 12, 1454. [Google Scholar] [CrossRef] [PubMed]
  14. Isac, R.; Doros, G.; Stolojanu, C.A.; Steflea, R.M.; Stroescu, R.F.; Olariu, I.C.; Micsescu-Olah, A.M.; Gafencu, M. General Characteristics and Current State of Antibiotic Resistance in Pediatric Urinary Tract Infection-A Single Center Experience. Antibiotics 2024, 13, 684. [Google Scholar] [CrossRef]
  15. Iqbal, Z.; Sheikh, A.S.; Basheer, A.; Hafsa, H.T.; Ahmed, M.; Sabri, A.N.; Shahid, S. Antibiotic Drug Resistance Pattern of Uropathogens in Pediatric Patients in Pakistani Population. Antibiotics 2023, 12, 395. [Google Scholar] [CrossRef]
  16. Choi, U.; Kim, E.; Lyu, D.H.; Kim, K.S.; Park, B.H.; Chung, H.; Han, C.H.; Bae, S. The change of antibiotic susceptibility in febrile urinary tract infection in childhood and adolescence during the last decade. Investig. Clin. Urol. 2022, 63, 99–106. [Google Scholar] [CrossRef]
  17. Kozlov, R.S.; Palagin, I.S.; Ivanchik, N.V.; Trushin, I.V.; Dekhnich, A.V.; Edelstein, M.V.; Perepanova, T.S.; Belashova, M.; Nastausheva, T.; Ivanova, I.; et al. Study Group. National monitoring of antibiotic resistance of community-acquired urinary tract infections in Russia: Results of the multicenter epidemiological study «DARMIS-2023». Clin. Microbiol. Antimicrob. Chemother. 2024, 26, 328–337. [Google Scholar] [CrossRef]
  18. Garau, J.; Xercavins, M.; RodrígUez-Carballeira, M.; GómEz-Vera, J.R.; Coll, I.; Vidal, D.; Llovet, T.; Ruíz-Bremón, A. Emergence and dissemination of quinolone-resistant Escherichia coli in the community. Antimicrob. Agents Chemother. 1999, 43, 2736–2741. [Google Scholar] [CrossRef]
  19. Walsh, T.R.; Gales, A.C.; Laxminarayan, R.; Dodd, P.C. Antimicrobial Resistance: Addressing a Global Threat to Humanity. PLoS Med. 2023, 20, e1004264. [Google Scholar] [CrossRef]
  20. Bok, E.; Mazurek, J.; Myc, A.; Stosik, M.; Wojciech, M.; Baldy-Chudzik, K. Comparison of Commensal Escherichia coli Isolates from Adults and Young Children in Lubuskie Province, Poland: Virulence Potential, Phylogeny and Antimicrobial Resistance. Int. J. Environ. Res. Public Health 2018, 15, 617. [Google Scholar] [CrossRef]
  21. Zhao, Q.; Shen, Y.; Chen, G.; Luo, Y.; Cui, S.; Tian, Y. Prevalence and Molecular Characterization of Fluoroquinolone-Resistant Escherichia coli in Healthy Children. Front. Cell. Infect. Microbiol. 2021, 11, 743390. [Google Scholar] [CrossRef] [PubMed]
  22. Domínguez, E.; Zarazaga, M.; Sáenz, Y.; Briñas, L.; Torres, C. Mechanisms of antibiotic resistance in Escherichia coli isolates obtained from healthy children in Spain. Microb. Drug Resist. 2002, 8, 321–327. [Google Scholar] [CrossRef] [PubMed]
  23. Mahmoodi, F.; Rezatofighi, S.E.; Akhoond, M.R. Antimicrobial resistance and metallo-beta-lactamase producing among commensal Escherichia coli isolates from healthy children of Khuzestan and Fars provinces; Iran. BMC Microbiol. 2020, 20, 366. [Google Scholar] [CrossRef] [PubMed]
  24. Singh, A.K.; Das, S.; Singh, S.; Gajamer, V.R.; Pradhan, N.; Lepcha, Y.D.; Tiwari, H.K. Prevalence of antibiotic resistance in commensal Escherichia coli among the children in rural hill communities of Northeast India. PLoS ONE 2018, 13, e0199179. [Google Scholar] [CrossRef]
  25. Dyar, O.J.; Hoa, N.Q.; Trung, N.V.; Phuc, H.D.; Larsson, M.; Chuc, N.T.; Lundborg, C.S. High prevalence of antibiotic resistance in commensal Escherichia coli among children in rural Vietnam. BMC Infect. Dis. 2012, 12, 92. [Google Scholar] [CrossRef]
  26. Nhi, L.T.Q.; Tuyen, H.T.; Trung, P.D.; Nhu, T.D.H.; Duy, P.T.; Hao, C.T.; Nhan, N.T.T.; Vi, L.L.; Tuyet, H.T.D.; Tien, T.T.T.; et al. Excess body weight and age associated with the carriage of fluoroquinolone and third-generation cephalosporin resistance genes in commensal Escherichia coli from a cohort of urban Vietnamese children. J. Med. Microbiol. 2018, 67, 1457–1466. [Google Scholar] [CrossRef]
  27. Zakharenkov, I.A.; Rachina, S.A.; Kozlov, R.S.; Belkova, Y. Consumption of systemic antibiotics in the Russian Federation in 2017–2021. Clin. Microbiol. Antimicrob. Chemother. 2022, 24, 220–225. [Google Scholar] [CrossRef]
  28. Gomon, Y.; Kolbin, A.; Arepyeva, M.; Kalyapin, A.; Balykina, Y.; Kuzmenkov, A.Y.; Kozlov, R.S. Antimicrobial drug consumption in the Russian Federation (2008–2022): Pharmacoepidemiological study. Clin. Microbiol. Antimicrob. Chemother. 2023, 25, 395–400. [Google Scholar] [CrossRef]
  29. Tchesnokova, V.; Larson, L.; Basova, I.; Sledneva, Y.; Choudhury, D.; Solyanik, T.; Heng, J.; Bonilla, T.C.; Pham, S.; Schartz, E.M.; et al. Increase in the community circulation of ciprofloxacin-resistant Escherichia coli despite reduction in antibiotic prescriptions. Commun. Med. 2023, 3, 110. [Google Scholar] [CrossRef]
  30. Bernabeu, M.; Cabello-Yeves, E.; Flores, E.; Samarra, A.; Kimberley Summers, J.; Marina, A.; Collado, M.C. Role of vertical and horizontal microbial transmission of antimicrobial resistance genes in early life: Insights from maternal-infant dyads. Curr. Opin. Microbiol. 2024, 77, 102424. [Google Scholar] [CrossRef]
  31. Ferraz, M.P. Antimicrobial Resistance: The Impact from and on Society According to One Health Approach. Societies 2024, 14, 187. [Google Scholar] [CrossRef]
  32. Endale, H.; Mathewos, M.; Abdeta, D. Potential Causes of Spread of Antimicrobial Resistance and Preventive Measures in One Health Perspective-A Review. Infect. Drug Resist. 2023, 16, 7515–7545. [Google Scholar] [CrossRef] [PubMed]
  33. Bumbangi, F.N.; Llarena, A.K.; Skjerve, E.; Hang’ombe, B.M.; Mpundu, P.; Mudenda, S.; Mutombo, P.B.; Muma, J.B. Evidence of Community-Wide Spread of Multi-Drug Resistant Escherichia coli in Young Children in Lusaka and Ndola Districts, Zambia. Microorganisms 2022, 10, 1684. [Google Scholar] [CrossRef]
  34. Braz, V.S.; Melchior, K.; Moreira, C.G. Escherichia coli as a Multifaceted Pathogenic and Versatile Bacterium. Front. Cell. Infect. Microbiol. 2020, 10, 548492. [Google Scholar] [CrossRef]
  35. Cho, H.; Misra, R. Mutational Activation of Antibiotic-Resistant Mechanisms in the Absence of Major Drug Efflux Systems of Escherichia coli. J. Bacteriol. 2021, 203, e0010921. [Google Scholar] [CrossRef]
  36. Ruiz-Lievano, A.P.; Cervantes-Flores, F.; Nava-Torres, A.; Carbajal-Morales, P.J.; Villaseñor-Garcia, L.F.; Zavala-Cerna, M.G. Fluoroquinolone Resistance in Escherichia coli Causing Community-Acquired Urinary Tract Infections: A Systematic Review. Microorganisms 2024, 12, 2320. [Google Scholar] [CrossRef]
  37. Teichmann, L.; Luitwieler, S.; Bengtsson-Palme, J.; Ter Kuile, B. Fluoroquinolone-specific resistance trajectories in E. coli and their dependence on the SOS-response. BMC Microbiol. 2025, 25, 37. [Google Scholar] [CrossRef]
  38. Fuzi, M. The fitness connection of antibiotic resistance. Front. Microbiol. 2025, 16, 1556656. [Google Scholar] [CrossRef]
  39. Fuzi, M.; Sokurenko, E. Commensal Fitness Advantage May Contribute to the Global Dissemination of Multidrug-Resistant Lineages of Bacteria-The Case of Uropathogenic E. coli. Pathogens 2023, 12, 1150. [Google Scholar] [CrossRef]
  40. Gharbi, M.; Abbas, M.A.S.; Hamrouni, S.; Maaroufi, A. First Report of aac(6′)-Ib and aac(6′)-Ib-cr Variant Genes Associated with Mutations in gyrA Encoded Fluoroquinolone Resistance in Avian Campylobacter coli Strains Collected in Tunisia. Int. J. Mol. Sci. 2023, 24, 16116. [Google Scholar] [CrossRef]
  41. McMullan, B.J.; Haeusler, G.M.; Hall, L.; Cooley, L.; Stewardson, A.J.; Blyth, C.C.; Jones, C.A.; Konecny, P.; Babl, F.E.; Mechinaud, F.; et al. Aminoglycoside use in paediatric febrile neutropenia—Outcomes from a nationwide prospective cohort study. PLoS ONE 2020, 15, e0238787. [Google Scholar] [CrossRef]
  42. Volcão, L.M.; Lacava, J.P.; Gewehr, M.F.; Leal, V.L.; Ramis, I.B.; Ramos, D.F.; Gonçalves, C.V.; Possuelo, L.G.; Minarini, L.A.R.; da Silva, P.E.; et al. High frequency of aac(6′)-Ib-cr gene associated with double mutations in GyrA and ParC in Escherichia coli isolates from patients with urinary tract infections. J. Glob. Antimicrob. Resist. 2018, 13, 180–183. [Google Scholar] [CrossRef] [PubMed]
  43. Trosvik, P.; Noordzij, H.T.; de Muinck, E.J. Antibiotic resistance gene dynamics in the commensal infant gut microbiome over the first year of life. Sci. Rep. 2024, 14, 18701. [Google Scholar] [CrossRef] [PubMed]
  44. Lebeaux, R.M.; Coker, M.O.; Dade, E.F.; Palys, T.J.; Morrison, H.G.; Ross, B.D.; Baker, E.R.; Karagas, M.R.; Madan, J.C.; Hoen, A.G. The infant gut resistome is associated with E. coli and early-life exposures. BMC Microbiol. 2021, 21, 201. [Google Scholar] [CrossRef] [PubMed]
  45. Law, C.J.; Alegre, K.O. Clamping down on drugs: The Escherichia coli multidrug efflux protein MdtM. Res. Microbiol. 2018, 169, 461–467. [Google Scholar] [CrossRef]
  46. Kawa, D.E.; Tickler, I.A.; Tenover, F.C.; Shettima, S.A. Characterization of Beta-Lactamase and Fluoroquinolone Resistance Determinants in Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa Isolates from a Tertiary Hospital in Yola, Nigeria. Trop. Med. Infect. Dis. 2023, 8, 500. [Google Scholar] [CrossRef]
  47. Ben Zakour, N.L.; Alsheikh-Hussain, A.S.; Ashcroft, M.M.; Khanh Nhu, N.T.; Roberts, L.W.; Stanton-Cook, M.; Schembri, M.A.; Beatson, S.A. Sequential Acquisition of Virulence and Fluoroquinolone Resistance Has Shaped the Evolution of Escherichia coli ST131. mBio 2016, 7, e00347–16, Erratum in mBio 2016, 7, e00958-16. https://doi.org/10.1128/mBio.00958-16. [Google Scholar] [CrossRef]
  48. The European Committee on Antimicrobial Susceptibility Testing. Breakpoint Tables for Interpretation of MICs and Zone Diameters. Version 15.0, 2025. Available online: https://www.eucast.org (accessed on 24 December 2025).
  49. Ignatov, K.B.; Blagodatskikh, K.A.; Shcherbo, D.S.; Kramarova, T.V.; Monakhova, Y.A.; Kramarov, V.M. Fragmentation Through Polymerization (FTP): A new method to fragment DNA for next-generation sequencing. PLoS ONE 2019, 14, e0210374. [Google Scholar] [CrossRef]
Antibiotics 15 00140 g001
Figure 1. Prevalence of antibiotic resistance among 307 E. coli isolates from presumably healthy children, comprising 230 isolates from 2012 to 2013 and 77 isolates from 2021 to 2022. AMP—ampicillin, CTZ—ceftazidime, CTX—cefotaxime, FEP—cefepime, CIP—ciprofloxacin, GEN—gentamicin, TOB—tobramycin, AMI—amikacin, TET—tetracycline, CHL—chloramphenicol, TMP/SMX—trimethoprim/sulfamethoxazole, MDR—multidrug-resistant isolates.
Figure 1. Prevalence of antibiotic resistance among 307 E. coli isolates from presumably healthy children, comprising 230 isolates from 2012 to 2013 and 77 isolates from 2021 to 2022. AMP—ampicillin, CTZ—ceftazidime, CTX—cefotaxime, FEP—cefepime, CIP—ciprofloxacin, GEN—gentamicin, TOB—tobramycin, AMI—amikacin, TET—tetracycline, CHL—chloramphenicol, TMP/SMX—trimethoprim/sulfamethoxazole, MDR—multidrug-resistant isolates.
Antibiotics 15 00140 g001
Antibiotics 15 00140 g002aAntibiotics 15 00140 g002b
Figure 2. Association between genotypic and phenotypic antimicrobial susceptibility testing of E. coli isolates to ciprofloxacin (CIP) and levofloxacin (LVX) (A), and to nalidixic acid (NAL) and moxifloxacin (MFX) (B). The length of black lines is proportional to the number of isolates, as indicated by the scale below the figures; numbers in the MIC and Genotype rows reflect the MIC value and the number of genes in the genotype profile, respectively. Color key: Blue—wild type (WT, epidemiological cut-off value), green—susceptible strains (clinical break point), yellow—intermediate strains, red—resistant strains.
Figure 2. Association between genotypic and phenotypic antimicrobial susceptibility testing of E. coli isolates to ciprofloxacin (CIP) and levofloxacin (LVX) (A), and to nalidixic acid (NAL) and moxifloxacin (MFX) (B). The length of black lines is proportional to the number of isolates, as indicated by the scale below the figures; numbers in the MIC and Genotype rows reflect the MIC value and the number of genes in the genotype profile, respectively. Color key: Blue—wild type (WT, epidemiological cut-off value), green—susceptible strains (clinical break point), yellow—intermediate strains, red—resistant strains.
Antibiotics 15 00140 g002aAntibiotics 15 00140 g002b
Antibiotics 15 00140 g003
Figure 3. Distribution of genotypic resistance profiles across E. coli molecular types. The circles represent the determined sequence types (ST), phylogenetic groups (PG), serotypes, and the genotype profiles, respectively; the purple numbers adjacent to the circles indicate the number of isolates; *O17:H18 denotes an unspecified O17/O44/O73/O77/O106:H18 antigen.
Figure 3. Distribution of genotypic resistance profiles across E. coli molecular types. The circles represent the determined sequence types (ST), phylogenetic groups (PG), serotypes, and the genotype profiles, respectively; the purple numbers adjacent to the circles indicate the number of isolates; *O17:H18 denotes an unspecified O17/O44/O73/O77/O106:H18 antigen.
Antibiotics 15 00140 g003
Antibiotics 15 00140 g004
Figure 4. Distribution of EmrD and MdtM efflux pump genes in seven groups of E. coli strains: Group 1—isolates resistant to four quinolones—NAL, CIP, MFX, LVX (n = 19), Groups 2–7—isolates resistant to one to three quinolones (n = 22), Group 0—isolates susceptible to four quinolones—NAL, CIP, MFX, LVX (n = 6).
Figure 4. Distribution of EmrD and MdtM efflux pump genes in seven groups of E. coli strains: Group 1—isolates resistant to four quinolones—NAL, CIP, MFX, LVX (n = 19), Groups 2–7—isolates resistant to one to three quinolones (n = 22), Group 0—isolates susceptible to four quinolones—NAL, CIP, MFX, LVX (n = 6).
Antibiotics 15 00140 g004
Table 1. Phenotypic resistance profiles to quinolones/fluoroquinolones for the 47 MDR E. coli strains. Resistant (R; Red); Intermediate (I; Yellow); Susceptible (S; Green); MFX—moxifloxacin; LVX—levofloxacin; CIP—ciprofloxacin; NAL—nalidixic acid.
Table 1. Phenotypic resistance profiles to quinolones/fluoroquinolones for the 47 MDR E. coli strains. Resistant (R; Red); Intermediate (I; Yellow); Susceptible (S; Green); MFX—moxifloxacin; LVX—levofloxacin; CIP—ciprofloxacin; NAL—nalidixic acid.
Antimicrobial AgentNumber of Isolates, (n = 47)
N (%)		Groups
MFXLVXCIPNAL
SSSS6 (12.8)Group 0
SSSR3 (6.4)Group 7
RSSS6 (12.8)Group 6
RSSR9 (19.1)Group 5
RISR2 (4.3)Group 4
RRSR1 (2.1)Group 3
RRIR1 (2.1)Group 2
RRRR19 (40.4)Group 1
Table 2. Frequency of QRDR mutations and PMQR genes among E. coli sequence types (STs).
Table 2. Frequency of QRDR mutations and PMQR genes among E. coli sequence types (STs).
QRDR Mutations/PMQR GenesNumber of E. coli Isolates, N (%)p-Value
Total
(n = 47)		ST38
(n = 12)		ST131
(n = 18)		Other STs
(n = 17)
No mutations/genes6 (12.8)3 (25.0)0 (0)3 (17.6)0.1
gyrA (S83L)28 (59.6)2 (16.7)16 (89.9)10 (58.8)<0.001
gyrA (S83A)3 (6.4)0 (0)2 (11.1)1 (5.9)0.473
gyrA (D87Y)1 (2.1)0 (0)0 (0)1 (5.9)0.406
gyrA (D87N)16 (34.0)0 (0)10 (55.6)6 (35.3)0.007
parC (S80I)18 (38.3)0 (0)10 (55.6)8 (47.1)0.006
parC (E84G)4 (8.5)0 (0)3 (16.7)1 (5.9)0.246
parC (E84V)7 (14.9)0 (0)7 (38.9)0 (0)0.001
parE (I529L)18 (38.3)0 (0)18 (100)0 (0)<0.001
parE (S458A)3 (3.4)0 (0)0 (0)3 (17.6)0.059
qnrB47 (14.9)7 (58.3)0 (0)0 (0)<0.001
qnrS15 (10.6)0 (0)0 (0)5 (29.4)0.007
aac(6′)-lb-cr6 (12.8)0 (0)5 (27.8)1 (5.9)0.047
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

Suzhaeva, L.; Egorova, S.; Polev, D.; Saitova, A.; Starkova, D. Fluoroquinolone Resistance Patterns in Multidrug-Resistant Escherichia coli from the Gut Microbiota of Young Children. Antibiotics 2026, 15, 140. https://doi.org/10.3390/antibiotics15020140

AMA Style

Suzhaeva L, Egorova S, Polev D, Saitova A, Starkova D. Fluoroquinolone Resistance Patterns in Multidrug-Resistant Escherichia coli from the Gut Microbiota of Young Children. Antibiotics. 2026; 15(2):140. https://doi.org/10.3390/antibiotics15020140

Chicago/Turabian Style

Suzhaeva, Ludmila, Svetlana Egorova, Dmitrii Polev, Alina Saitova, and Daria Starkova. 2026. "Fluoroquinolone Resistance Patterns in Multidrug-Resistant Escherichia coli from the Gut Microbiota of Young Children" Antibiotics 15, no. 2: 140. https://doi.org/10.3390/antibiotics15020140

APA Style

Suzhaeva, L., Egorova, S., Polev, D., Saitova, A., & Starkova, D. (2026). Fluoroquinolone Resistance Patterns in Multidrug-Resistant Escherichia coli from the Gut Microbiota of Young Children. Antibiotics, 15(2), 140. https://doi.org/10.3390/antibiotics15020140

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