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Review

The Gut Microbiome and Colistin Resistance: A Hidden Driver of Antimicrobial Failure

by
Ionela-Larisa Miftode
1,2,
Andrei Vâţă
1,2,
Radu-Ştefan Miftode
3,4,*,
Alexandru Florinel Oancea
3,4,
Maria-Antoanela Pasăre
2,
Tudoriţa Gabriela Parângă
2,
Egidia Gabriela Miftode
1,2,
Irina Luanda Mititiuc
5,6 and
Viorel Dragoş Radu
5,6
1
Department of Internal Medicine II (Infectious Diseases), Faculty of Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania
2
“St Parascheva” Clinical Hospital of Infectious Diseases, 700116 Iasi, Romania
3
Department of Internal Medicine I, Faculty of Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania
4
“St Spiridon” Emergency Hospital, 700115 Iasi, Romania
5
Department of Urology, Faculty of Medicine, University of Medicine and Pharmacy “Gr. T. Popa”, 700115 Iasi, Romania
6
Department of Urology and Renal Transplantation, “C.I. Parhon” University Hospital, 700115 Iasi, Romania
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(18), 8899; https://doi.org/10.3390/ijms26188899
Submission received: 6 August 2025 / Revised: 1 September 2025 / Accepted: 11 September 2025 / Published: 12 September 2025
(This article belongs to the Special Issue Molecular Research of Gut Microbiota in Human Health and Diseases)

Abstract

Colistin, a polymyxin antibiotic reintroduced as a last-resort therapy against multidrug-resistant Gram-negative bacteria, is increasingly being compromised by the emergence of plasmid-mediated colistin resistance genes (mcr-1 to mcr-10). The human gut microbiota serves as a major reservoir and transmission hub for these resistance determinants, even among individuals without prior colistin exposure. This review explores the mechanisms, dissemination, and clinical implications of mcr-mediated colistin resistance within the gut microbiota, highlighting its role in horizontal gene transfer, colonization, and environmental persistence. A comprehensive synthesis of the recent literature was conducted, focusing on epidemiological studies, molecular mechanisms, neonatal implications and decolonization strategies. The intestinal tract supports the enrichment and exchange of mcr genes among commensal and pathogenic bacteria, especially under antibiotic pressure. Colistin use in agriculture has amplified gut colonization with resistant strains in both animals and humans. Surveillance gaps remain, particularly in neonatal populations, where colonization may occur early and persist silently. Promising interventions, such as fecal microbiota transplantation and phage therapies, are under investigation but lack large-scale clinical validation. The gut microbiome plays a central role in the global spread of colistin resistance. Mitigating this threat requires integrated One Health responses, improved diagnostics for gut colonization, and investment in microbiome-based therapies. A proactive, multisectoral approach is essential to safeguard colistin efficacy and address the expanding threat of mcr-mediated resistance.

1. Introduction

The gut microbiota consists of a dense and dynamic ecosystem composed of trillions of microorganisms that perform essential physiological functions, including nutrient metabolism, immune modulation, and colonization resistance against pathogens [1]. However, beyond these beneficial roles, the gut also serves as a critical reservoir for antimicrobial resistance (AMR) genes—collectively known as the gut resistome [2,3]. Among these, resistance determinants against last-resort antibiotics such as colistin are of increasing global concern, given their implications for treating multidrug-resistant (MDR) bacterial infections [4,5].
Colistin (polymyxin E) is a cationic antimicrobial peptide that disrupts the outer membrane of Gram-negative bacteria by binding to lipopolysaccharides, particularly lipid A [6]. It is available in two main clinical forms: colistin sulfate, the active compound used mainly for oral and topical applications, and colistimethate sodium (CMS), an inactive prodrug administered intravenously or by inhalation that is converted in vivo to active colistin. CMS is the preferred formulation for treating severe systemic infections caused by multidrug-resistant Gram-negative pathogens such as carbapenem-resistant Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii, while inhaled CMS is also used in cystic fibrosis [7]. Historically, its use was limited due to nephrotoxicity and neurotoxicity, but it has re-emerged as a vital therapeutic option for carbapenem-resistant Enterobacterales (CRE) and other MDR pathogens [8]. However, the clinical efficacy of colistin is now threatened by the emergence of mobilized colistin resistance (mcr) genes. First reported in China in 2015, the mcr-1 gene demonstrated that colistin resistance could spread horizontally via plasmids rather than chromosomal mutation alone, marking a paradigm shift in AMR surveillance and control [9]. Subsequent reviews have highlighted the rapid diversification of mcr variants across plasmid families and bacterial hosts, reinforcing their central role in the global dissemination of colistin resistance [5].
To date, at least ten mcr variants (mcr-1 to mcr-10) have been identified across diverse Gram-negative bacteria, particularly in Escherichia coli, Klebsiella pneumoniae, Enterobacter spp., and Salmonella spp. [10,11]. More recently, database annotations (e.g., NCBI Pathogen Detection) have flagged a putative mcr-11 variant (mcr-11.1), though this remains uncharacterized and lacks peer-reviewed confirmation. Thus, while ten validated mcr variants (mcr-1 to mcr-10) are firmly established, the existence of additional functional variants may be anticipated as genomic surveillance expands [12]. These genes encode phosphoethanolamine transferases that modify the bacterial lipid A structure, thereby reducing colistin binding affinity [13]. Their genetic and phenotypic diversity—including discovery timelines, plasmid contexts, and effects on colistin MICs—is summarized in Table 1, which illustrates both the widespread dissemination of mcr-1 and the more sporadic occurrence of later variants. Often embedded in conjugative plasmids—such as IncI2, IncX4, and IncHI2—mcr genes can readily disseminate among phylogenetically distant species within the gut microbiome [14,15]. Notably, their presence has been documented in individuals without any known exposure to colistin, including healthy children and adults [14,16].
Given the substantial heterogeneity in reported mcr prevalence across continents and sampling sources [11], a structured synthesis framework may be more informative than a single pooled estimate. First, studies should be stratified by setting (human, animal, environmental), methodological approach (culture-based versus metagenomic), sampling period, and population frame, with random-effects meta-analysis used to derive region-specific prevalence estimates accompanied by prediction intervals. Second, the development of a pragmatic risk stratification index for high-burden regions could integrate determinants such as colistin consumption, livestock density, sanitation and wastewater infrastructure, healthcare AMR burden, and travel connectivity. Third, conceptualizing the gut and its ecological interfaces as a meta-reservoir would enable the application of network analysis to metagenomic datasets, facilitating the identification of hub taxa and mobile genetic element backbones that disproportionately mediate mcr dissemination [32]. Together, these elements could provide an evidence-based foundation for prioritizing surveillance and guiding targeted interventions.
The gastrointestinal tract offers an ideal environment for the persistence and spread of resistance determinants. Commensal bacteria such as E. coli, Citrobacter, and Enterobacter spp. frequently harbor mcr genes without causing disease, effectively serving as asymptomatic carriers [2,33]. However, these genes can be horizontally transferred to virulent or opportunistic strains like K. pneumoniae during co-colonization events, especially under selective pressure from antibiotic use [34]. Such in-gut transmission events are well documented in vitro and in vivo, including among pediatric and neonatal populations [35].
Beyond clinical settings, colistin has a long history of extensive use in agriculture and veterinary medicine, dating back to the 1960s when it was introduced as a therapeutic agent and later adopted as a growth promoter in pig and poultry farming [36]. This large-scale, often sub-therapeutic, use created strong selective pressure that fueled the emergence and dissemination of plasmid-mediated mcr genes [37]. Resistant bacteria and plasmids originating from animal intestines can subsequently enter human microbiota through contaminated food, water, and direct contact, thereby completing a zoonotic and foodborne AMR cycle [38,39]. Environmental surveys have further detected mcr-positive Enterobacterales in livestock, slaughterhouse waste, aquaculture, retail meat, and wastewater treatment plants, highlighting the breadth of this dissemination [40,41]. Although colistin was never approved for agricultural use in some regions such as the United States, its widespread employment in Asia, Europe, and South America, coupled with international food trade, has contributed to the worldwide distribution of colistin resistance determinants [42].
Recent work has highlighted the ecological risks of combined agricultural and pharmaceutical pollutants in shaping resistance dynamics. A 2025 study demonstrated that co-exposure to the fungicide cyazofamid and colistin in a soil–animal–plant system not only exerted synergistic toxicity on earthworms and tomato plants but also disrupted microbial communities more severely than either agent alone. Importantly, such co-contamination enriched insertion sequences, plasmid-associated elements, and multiple antibiotic resistance genes (ARGs), suggesting that fungicide–antibiotic interactions may accelerate the mobilization and persistence of mcr and other resistance determinants in agroecosystems [43]. These findings align with recent metagenomic observations of rising mcr-9 prevalence, suggesting that environmental co-selectors may amplify the silent spread of low-level resistance determinants. Incorporating fungicide–antibiotic interactions into prevalence models and mitigation strategies will therefore be essential to refine risk estimates and address the evolving One Health challenge [43].
Given these multifaceted threats, surveillance data increasingly recognize the gut microbiome as both a reservoir and a transmission hub for colistin resistance. This has prompted urgent calls for integrated One Health responses that encompass human, animal, and environmental health sectors. Without such coordinated intervention, the spread of mcr genes could render colistin—and potentially other last-line antibiotics—ineffective in the near future [44]. Therefore, this study aims to provide a comprehensive overview of colistin resistance within the human gut microbiota, with a focus on the emergence and dissemination of plasmid-mediated mcr genes, their clinical and ecological implications, and the urgent need for integrated One Health strategies and microbiome-based interventions—particularly in vulnerable populations such as neonates.
This review was conducted as a narrative synthesis. To ensure transparency and minimize bias, we performed a structured literature search across PubMed, Scopus, and Web of Science for the period January 2015 to August 2025, using combinations of keywords such as “mcr”, “colistin resistance”, “antimicrobial resistance”, “gut microbiota”, “horizontal gene transfer”, and “decolonization”. Additional references were identified by screening the bibliographies of relevant articles. Only peer-reviewed, English-language publications were included, with exclusion of preprints and non-peer-reviewed material unless explicitly cited as emerging evidence. Articles were considered if they addressed the occurrence, mechanisms, transmission, surveillance, or mitigation of mcr genes in human, animal, or environmental contexts. While no formal PRISMA framework was applied due to the narrative scope, this structured approach aimed to balance breadth of coverage with reduction in selection bias.

1.1. Gut Microbiota as a Reservoir for Colistin Resistance Genes

Notably, commensal gut bacteria—especially E. coli, but also Enterobacter, Citrobacter, and others—frequently harbor mcr genes without causing disease, effectively acting as a reservoir for resistance [16,45]. Global surveillance studies have detected mcr genes in the gut microbiome of individuals on every inhabited continent [11,46]. For instance, a 2021 metagenomic analysis identified over 2000 putative mcr-like genes in gut bacterial genomes from 41 countries, highlighting their cosmopolitan distribution [46]. However, this study relied exclusively on sequence-based homology searches without functional validation, meaning that many of the predicted genes may not confer phenotypic resistance in vivo [46].
Importantly, mcr-positive plasmids are often found in asymptomatic hosts and can co-exist with other resistance genes, such as those encoding extended-spectrum β-lactamases (ESBLs), raising concern over gut flora as a source of future multidrug-resistant infections [46]. Healthy carriers have been documented, for example, nearly 10% of children in a Chinese cohort were found to carry mcr-1-positive E. coli [14]. Similarly, mcr genes have been identified in gut bacteria from healthy livestock and wildlife, supporting the One Health concept linking human, animal, and environmental reservoirs [11,46]. Alarmingly, data from Nigeria revealed mcr gene carriage in approximately 1% of fecal samples from mothers and newborns, with Enterobacter and E. coli as the most common carriers—despite minimal use of colistin in the clinical setting [35].
This diversity of hosts and bacterial species demonstrates how the gut microbiota provides a breeding ground for colistin resistance genes to persist and spread. Emerging evidence suggests that harboring mcr genes may even enhance bacterial fitness in the gut. For example, an in vivo murine study using isogenic E. coli variants with or without mcr-1 demonstrated that an extra-intestinal pathogenic E. coli carrying mcr-1 had a competitive colonization advantage, even in the absence of antibiotic selection [47]. The gene reduced host inflammatory responses and conferred cross-resistance to antimicrobial peptides, supporting long-term bacterial persistence and a more commensal-like lifestyle [33,47]. These findings suggest that mcr genes may be stably maintained in gut bacteria, not only due to antibiotic pressure but also because of fitness benefits, further entrenching the gut microbiota as a reservoir for colistin resistance.
In a recent metagenomic study, Avellán-Llaguno et al. profiled the gut microbiomes of urban cats (household, free-roaming, and free-range domestic groups), uncovering 890 ARGs—with the freest cats exhibiting the highest ARG and virulence factor diversity—thereby highlighting the role of companion animals in environmental and zoonotic resistome dynamics [48]. Moreover, wastewater surveillance in Georgia, USA, revealed mcr-9-positive Serratia nevei in sewage and chromosomal mcr-3-positive Aeromonas jandaei in effluent and surface waters [49]. mcr-9 was carried on conjugative IncHI2 plasmids with the qseB/qseC system, transferable to E. coli, and persisted in 12-day biofilms. Isolates showed high colistin MICs and multidrug resistance with additional ARGs. These findings highlight wastewater treatment plants as effective One Health sentinels and emphasize the need to monitor overlooked bacterial hosts for plasmid-mediated colistin resistance [49].
Multiple studies also highlight the importance of viewing the gut microbiota as a dynamic “meta-reservoir” where resistome stability is shaped by ecological interactions, co-resistance linkages, and horizontal gene transfer networks. For instance, network analyses of metagenomic datasets have identified key bacterial taxa acting as hubs for mobilizing resistance genes across species boundaries, suggesting that dissemination is not random but structured by microbial community architecture [50,51]. Systems biology approaches are now being applied to simulate the dynamics of resistance acquisition and loss under varying selective pressures, such as diet, antimicrobial exposure, and colonization density [52,53]. Such predictive frameworks may enable the quantification of resistance enrichment and help identify intervention points to disrupt the maintenance of mcr genes in the gut ecosystem.

1.2. Impact of Colistin on Gut Microbial Diversity and Composition

Administration of colistin can significantly alter gut microbiome composition in both animals and humans. As a potent antibiotic against Gram-negative bacteria, colistin perturbs the balance of intestinal microbes, often killing susceptible strains and allowing intrinsically resistant or less affected populations to expand [54,55]. In food-producing animals, where colistin was historically used (e.g., as a growth promoter in piglets), studies document clear shifts in microbial diversity. For instance, a metagenomic analysis in pigs showed that colistin treatment changed the relative abundance of major gut bacteria: beneficial fermenters like Prevotella species sharply declined, while other genera such as Treponema and Acidaminococcus became more abundant [56] (Figure 1).
These changes corresponded with a measured decrease in overall microbial diversity in colistin-treated pigs compared to controls, suggesting that colistin may knock down dominant flora and enable a more even distribution of surviving species [56]. Colistin exposure also enriched the gut resistome in that study—expression of several antibiotic resistance genes (for tetracyclines, aminoglycosides, etc.) was upregulated after treatment, indicating that colistin can co-select for other resistance genes in the microbiota [56]. Similarly, in chickens, high rates of colistin use have been associated with a high prevalence of mcr genes in gut bacteria (e.g., a Bangladesh survey found mcr-1 in 25% of tested chicken fecal samples) [39], reflecting how routine colistin administration drives the expansion of colistin-resistant populations in animal intestines.
In humans, colistin is typically used systemically for severe infections rather than orally, but it can still impact the gut flora. Patients receiving intravenous or inhaled colistin may experience collateral effects on their gastrointestinal microbiome due to biliary excretion or swallowing of nebulized drug [57]. A laboratory simulation of the human intestinal microbiota exposed to colistin (alone and in combination with amoxicillin) demonstrated that colistin significantly alters microbial community structure [58]. Certain commensals (e.g., Bacteroidetes and some Proteobacteria) declined, while others (including Lactobacillus and Mycoplasma species) proliferated, reflecting a shift in genus-level composition [58,59]. The α- and β-diversity of the gut microbiome were measurably altered by colistin exposure in this model [59]. Moreover, the combination of colistin with another antibiotic was shown to induce a broader antibiotic resistome in gut bacteria, elevating the abundance of various resistance genes, and these microbiota changes were not easily reversible [58]. Clinically, patients receiving colistin therapy, especially in intensive care settings where broad-spectrum antibiotics are concurrently used, have developed intestinal carriage of colistin-resistant Enterobacterales [34].
Beyond these specific case reports, broader evidence supports the conclusion that colistin exposure causes gut dysbiosis—a disruption in microbial balance—which may be transient in many cases but can also persist longer-term depending on host and microbiome context, potentially leading to overgrowth of opportunistic pathogens and enhanced horizontal gene transfer [60]. Animal and human studies alike have demonstrated that colistin reduces microbial richness, disrupts functional pathways such as short-chain fatty acid production, and facilitates the emergence or persistence of resistant organisms [27,55,61,62]. These findings bring attention to a key point: colistin exerts a strong ecological pressure on the gut microbiome, and its use—whether in agriculture or clinical care—can unintentionally cultivate an intestinal environment that favors colistin-resistant microbes.
Available evidence indicates that colistin-induced perturbations of the gut microbiota may be partially reversible after treatment cessation, but the extent and pace of recovery depend on host factors (age, baseline microbiota diversity, immune status), treatment characteristics (dose, duration, co-administration of other antimicrobials), and environmental exposures such as diet or colonization pressure. Moreover, Guo et al. demonstrated that colistin modulates pig gut microbiome composition, suggesting that exposures shift communities—but also highlighting the dynamic nature of those changes, which can revert over time [56].

1.3. Horizontal Gene Transfer of Colistin Resistance Genes in the Gut

The human gastrointestinal tract harbors a dense and highly interactive microbial ecosystem that serves not only as a reservoir but also as a dynamic exchange platform for ARGs. Among the most concerning ARGs are the mcr genes, which are frequently transmitted via horizontal gene transfer (HGT) mechanisms such as conjugation, transposition, and recombination [11,13] (Figure 2).
Colistin resistance genes, especially mcr-1, are typically located on conjugative plasmids (e.g., IncI2, IncX4, IncHI2), insertion sequences (e.g., ISApl1), or transposons that facilitate their movement between bacterial genomes [6]. This genetic mobility allows mcr genes to spread rapidly within the gut microbiota, even between phylogenetically distant species. In this context, the gut acts not merely as a passive reservoir but as an active hub of gene exchange under constant evolutionary pressure. The mobilization of mcr genes is primarily driven by plasmid-mediated transfer, with IncI2, IncX4, IncHI2, and IncFII plasmids acting as the most important backbones for dissemination [63,64]. These plasmids often carry insertion sequences that facilitate gene mobilization, most notably ISApl1, which is strongly associated with the initial mobilization of mcr-1 [6], and IS26 or IS903, which contribute to the movement of other mcr variants [23,65,66]. Transposons, frequently incorporating insertion sequences at both ends, provide a further mechanism for the capture and relocation of resistance determinants, enabling the clustering of mcr with other antimicrobial resistance genes [64]. Integrons and composite transposons enhance this process by promoting recombination and co-selection under antimicrobial pressure [64].
Together, these mobile genetic elements form a modular system in which plasmids serve as vehicles, insertion sequences act as mobilizers, and transposons and integrons expand the genetic context, thereby sustaining horizontal gene transfer and the global spread of mcr genes. A key concern is that commensal, non-pathogenic bacteria in the gut—such as E. coli, Enterobacter, and Citrobacter spp.—may acquire mcr genes and silently maintain them, only to transfer them to more virulent or opportunistic pathogens during co-colonization events [67]. This possibility was experimentally confirmed in a pediatric study in China, where mcr-1-positive E. coli isolates from children’s fecal samples successfully transferred colistin resistance to recipient strains in vitro via conjugation [6]. Remarkably, 14 out of 16 donor isolates were able to transfer their plasmids, demonstrating the high transmissibility and stability of these elements [14].
Furthermore, evidence of in vivo interspecies gene transfer is accumulating. Cases where mcr genes are simultaneously detected in multiple bacterial species (e.g., E. coli and Citrobacter spp. from the same fecal sample) strongly suggest active plasmid exchange within the gut environment [35]. These findings are not isolated: similar observations have been made across continents, indicating that HGT is a global phenomenon facilitated by the gut microbiome.
The intestinal environment itself amplifies this risk. Features like biofilm formation, close physical proximity between bacteria, anaerobic conditions, and constant influx of nutrients and antimicrobials create ideal conditions for conjugative plasmid transfer [13,15]. In particular, antibiotic exposure, including to sub-inhibitory levels of colistin—arising either from gut leakage following parenteral dosing in humans or from dietary exposure in veterinary/agricultural settings—has been shown to induce bacterial stress responses, activate SOS pathways, and promote mobilization of plasmids and transposons [67,68].
A compelling example comes from a study in Nigeria, where mcr-1, and mcr-9 were found on plasmids across multiple Gram-negative genera, including Klebsiella, Enterobacter, and E. coli [35]. All detected mcr genes were plasmid-borne, reinforcing the role of mobile elements in shaping the resistome of even healthy individuals. The co-occurrence of different mcr genes in the same host or sample highlights the genetic plasticity and evolutionary adaptability of colistin resistance determinants.
Clinically, this means that even in the absence of overt infection, individuals colonized with mcr-positive strains may serve as silent disseminators of resistance genes, both within hospitals and in the community. The risk is magnified in ICU patients, immunocompromised hosts, and individuals receiving broad-spectrum antibiotics, where perturbations of the gut flora can further facilitate HGT events and allow mcr-carrying pathogens to emerge [34].
Most estimates of plasmid-mediated mcr transfer rely on in vitro filter or broth mating assays that may overestimate in vivo rates [69]. These assays typically use high donor-to-recipient ratios, nutrient-rich media, and short incubation times that do not reproduce gut conditions such as anaerobiosis, bile salts, mucus layers, biofilms, nutrient limitation, or immune pressures. Additionally, they underrepresent fitness costs, compensatory evolution, and plasmid incompatibility that shape persistence in the gut [70]. Reported transfer frequencies are further influenced by choices in normalization (per donor, per recipient, or per population), and by selective plates that may favor co-resistant backgrounds [69]. To reduce bias, future studies should report standardized donor-to-recipient ratios, exposure durations, and selective conditions; complement in vitro estimates with gut-on-chip or animal models; and apply culture-independent tools—such as Hi-C–coupled metagenomics, plasmid capture, and strain-resolved assemblies—to quantify in situ gene flow [71,72]. In summary, horizontal gene transfer is a key mechanism by which colistin resistance spreads within the gut microbiota. The combination of mobile genetic elements, commensal reservoirs, and environmental triggers such as antibiotic use ensures that mcr genes are not only maintained but actively propagated within the gastrointestinal tract. Addressing this issue requires surveillance strategies that extend beyond clinical pathogens to encompass the entire microbial ecosystem of the human gut.

1.4. Early-Life Colonization and Neonatal Implications

The early postnatal period is a critical window in which newborns begin establishing their gut microbiota, a complex community that plays essential roles in immune development, nutrient metabolism, and protection against pathogens. This initial colonization is heavily influenced by maternal microbiota, delivery mode, feeding practices, and hospital environment [73,74]. Unfortunately, mounting evidence shows that antibiotic-resistant organisms—including colistin-resistant Gram-negative bacteria—can also be transmitted to infants during this period.
Of particular concern is the detection of mcr genes in neonates within the first days of life. In a multicenter survey of 4907 rectal swabs, mcr carriage was 1.0% in mothers (39/3944) and 0.7% in neonates (7/963); 92% (45/49) of mcr-positive isolates carried mcr-10, with mcr-1 (N = 3) and mcr-9 (N = 1) also detected, and all neonatal positives were Enterobacter spp. carrying mcr-10. No mother–infant dyads were concordantly positive, suggesting acquisition via community, vertical, or early environmental routes [35]. The study strongly suggests vertical transmission (intrapartum transfer during delivery—e.g., exposure to maternal vaginal or fecal microbiota)) or early horizontal acquisition from contaminated hospital environments [35,75]. This includes delivery rooms, incubators, feeding equipment, or colonized caregivers.
The same Nigerian study also detected mcr genes in maternal fecal samples, providing further evidence for maternal–neonatal transmission pathways [35]. In some cases, mcr-positive isolates from neonates were genetically similar to those from their mothers, strengthening the hypothesis of peripartum transmission [14]. Although some neonates in the Nigerian cohort developed sepsis during the study period, the authors report that the mcr-positive Enterobacter spp. identified from rectal carriage were not the causative pathogens; thus, colonization occurred alongside, rather than as the immediate cause of, neonatal sepsis [35].
Neonates are particularly susceptible to invasive infections because of their immature immune systems, underdeveloped gut barrier, and reduced colonization resistance. If a colistin-resistant strain translocates from the gut to systemic sites, such as the bloodstream or central nervous system, treatment options are severely restricted. Colistin, often the last-resort therapy for multidrug-resistant Gram-negative infections, would be ineffective. Moreover, alternative antibiotics in neonates are limited by safety and pharmacokinetic concerns, particularly in preterm or low-birthweight infants [76].
Even in the absence of infection, asymptomatic colonization with mcr-positive bacteria poses long-term risks. Early disruption of the microbiota may interfere with immune programming, metabolic balance, and neurodevelopment [77,78]. Colonization with multidrug-resistant bacteria during the neonatal period has been associated with a higher risk of late-onset sepsis, chronic inflammatory conditions, and growth faltering in early childhood [79] (Figure 3).
The emergence of mcr-9 and mcr-10 in neonatal gut metagenomes and global isolates signals an escalating risk beyond mcr-1. Unlike mcr-1, which triggered early global monitoring due to its strong colistin resistance phenotype, mcr-9 has spread largely undetected because of its low-level activity. However, the recent emergence of high-expression mcr-9 strains that confer full resistance suggests it may follow a more insidious trajectory, silently embedding in clinical and environmental reservoirs before manifesting as a major threat. These dynamics underscore the need for harmonized One Health surveillance to capture both overt and “silent” resistance determinants [80]. Consistently, the identification of mcr-9.1 and mcr-10.1 in neonatal gut metagenomic datasets further highlights the early-life establishment of these variants, emphasizing the need for harmonized One Health surveillance to capture both overt and “silent” resistance determinants [80,81].
Additionally, colonized neonates can act as reservoirs and transmitters of resistance genes. Transmission to healthcare workers or family members during routine caregiving (e.g., diapering, skin-to-skin contact, or feeding) has been documented [34]. These events can create a cycle of microbial exchange in neonatal intensive care units (NICUs), contributing to nosocomial outbreaks of multidrug-resistant organisms. The role of NICUs as amplification hubs for resistant bacteria is further supported by studies showing that even infants who are not sick may carry pathogens such as K. pneumoniae or E. coli harboring mcr and ESBL genes [82].
The global burden of AMR in neonates is substantial. Children and neonates are highly vulnerable to the impact of antimicrobial resistance, which makes a substantial contribution to morbidity and mortality in this age group; in 2019, an estimated one in five AMR-related deaths occurred in children younger than five years [83]. Many of these infections were previously treatable but are now associated with high mortality due to the emergence of resistance to last-resort antibiotics.
While colistin is rarely administered to neonates because of toxicity concerns, other antibiotics commonly used in NICUs—such as cephalosporins, aminoglycosides, and carbapenems—can disrupt the gut microbiota, leading to loss of protective commensals and the emergence of resistant strains [84]. Furthermore, maternal antibiotic use during labor or cesarean section has been shown to influence neonatal microbiota composition, often favoring the growth of opportunistic pathogens [85].
In summary, early-life colonization with colistin-resistant bacteria represents a serious and under-recognized threat to neonatal health. The presence of mcr genes at birth indicates that resistance can breach the earliest biological barriers, even before direct antibiotic exposure. These findings call for urgent interventions, including:
  • Routine screening of mothers with recognized risk factors for antimicrobial resistance—such as prior antibiotic exposure, recent hospitalization, or documented carriage of resistant organisms;
  • Enhanced hygiene protocols in delivery and NICU environments;
  • Minimization of unnecessary antibiotic use in both mothers and neonates; Awareness and education initiatives for clinicians, healthcare workers, and family units regarding AMR and colistin resistance, especially in neonatal intensive care settings.
Protecting the neonatal microbiome is essential not only for immediate infection control but also for long-term health outcomes spanning immunity, metabolism, and development. In a cohort study of 34 very-low-birth-weight, human-milk-fed preterm infants, Kiu et al. employed genome-resolved shotgun metagenomics and targeted culturomics to elucidate the combined impact of probiotics and antibiotics on the developing gut microbiome and resistome [86]. Infants supplemented with a probiotic mixture (Bifidobacterium bifidum and Lactobacillus acidophilus) demonstrated a pronounced reduction in antibiotic resistance gene prevalence and MDR pathogen load compared to non-supplemented controls. Their gut microbial profiles resembled those of full-term infants, exhibiting enriched beneficial genera such as Bifidobacterium and attenuated colonization by potential pathobionts including Enterococcus, Klebsiella, and Escherichia. Notably, despite these positive shifts, MDR Enterococcus strains with high horizontal gene transfer potential persisted, highlighting the necessity for ongoing surveillance and nuanced interventions in neonatal units. These findings demonstrate the capacity of probiotic supplementation not only to restore microbial balance but also to reduce the neonatal resistome footprint under antibiotic pressure [86].
Despite the clinical significance of early colonization with mcr-positive bacteria, neonatal-specific diagnostics and interventions remain underdeveloped. There are no standardized screening protocols for mcr carriage in neonates, and current NICU infection control practices typically overlook colistin resistance [82]. Furthermore, microbiota-directed therapies—including FMT, probiotics, or Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based interventions—have not been systematically studied in neonatal populations, particularly in preterm or low-birthweight infants [84,87]. This research gap limits opportunities for early intervention and highlights the need for targeted clinical trials and policy development in this vulnerable group.
Emerging evidence suggests that neonatal gut dysbiosis—disrupted early microbial colonization—can have enduring health implications beyond infection risk. Prospective cohort studies of preterm infants show that early-life microbial imbalances are associated with neurological and behavioral trajectories by age 4, including associations of taxa like Veillonella dispar and Enterobacterales with diagnoses such as ADHD and autism spectrum behaviors [88]. Separately, narrative reviews highlight that early-life gut dysbiosis substantially raises the risk of later metabolic disorders, including obesity, type 1 diabetes, allergic diseases, cardiovascular conditions, and neurological sequelae, reflecting the Developmental Origins of Health and Disease paradigm [89]. These results bring attention to the importance of neonatal resistome surveillance not only for antimicrobial resistance but also in understanding how mcr-mediated alterations may contribute to broader immunometabolic programming across the lifespan.

1.5. Clinical and Public Health Risks of Gut Carriage of Colistin-Resistant Enterobacterales

Gut colonization with colistin-resistant Enterobacterales represents a serious dual threat, affecting both individual carriers and broader public health systems. These organisms, especially those harboring mcr genes, are increasingly reported in both community and healthcare settings, often embedded within complex MDR plasmids [6].

1.5.1. Clinical Risks

For the individual carrier, gut colonization with mcr-positive strains—such as E. coli, K. pneumoniae, or Enterobacter spp.—poses a significant clinical risk. These organisms may act as a source of endogenous infection, including urinary tract infections, intra-abdominal abscesses, and pneumonia, or bacteremia, particularly in hospitalized or immunocompromised individuals [34]. Since colistin is often reserved as a last-resort antibiotic against MDR Gram-negative pathogens, infections caused by mcr-harboring organisms may be virtually untreatable if resistance extends to other new drug classes [90].
Compounding this threat, mcr genes are frequently co-located with extended-spectrum β-lactamase (ESBL) or carbapenemase genes (e.g., blaCTX-M. blaNDM), rendering the strains resistant to multiple or all available treatment options [14]. Clinical outcomes in such cases are poor, with higher rates of treatment failure, ICU admission, and high mortality rates [91].
Colonization is also a predictive risk factor for future infection. In hospitalized patients, especially those undergoing surgery or invasive procedures, colonization with colistin-resistant organisms significantly increases the risk of subsequent infection by the same strain [92]. Thus, gut carriage silently sets the stage for life-threatening infections in vulnerable patients.

1.5.2. Public Health Risks

From a public health standpoint, individuals colonized with mcr-positive bacteria serve as reservoirs and vectors of resistance. Shedding of these organisms in feces can lead to environmental contamination in hospitals, households, and public spaces, particularly where hygiene infrastructure is poor. Studies have identified mcr-positive E. coli on hospital surfaces, implicating fecal transmission as a source [93].
Colonized individuals may unknowingly spread resistant strains to family members, healthcare workers, or community contacts via the fecal–oral route—similar to the global dissemination pattern of ESBL-producing E. coli [94]. International travel and global food trade exacerbate this problem. Travelers to countries with high agricultural use of colistin have been shown to acquire mcr-positive strains during brief trips, with higher carriage rates documented among returning European travelers [95].
In some resource-limited settings, community carriage rates are alarmingly high. Studies from Bolivia and Vietnam have reported mcr gene prevalence in gut flora reaching 38% and over 60%, respectively [96,97]. These individuals act as silent amplifiers of resistance within the population, often lacking access to proper sanitation or microbiological testing.
The food supply is another significant route of transmission. mcr-positive E. coli and Salmonella have been isolated from retail poultry and pork products in Europe and Asia. One survey detected mcr-harboring strains in up to 70% of retail poultry samples, illustrating a direct pathway for resistance genes to enter the human gut via food [38]. This cycle—involving humans, animals, and the environment—has turned colistin resistance into a global ecological threat. The worst-case scenario is the convergence of mcr with carbapenem-resistance genes in a single strain, resulting in pan-resistant Enterobacterales against which no effective antibiotics remain [9].
A 2025 systematic review on ARG detection shows that health risk estimates depend not only on how common these genes are but also on the methods used to find them. Curated databases such as the Comprehensive Antibiotic Resistance Database and the National Database of Antibiotic Resistant Organisms mainly capture well-known genes, whereas machine learning-based tools like DeepARG and the Hierarchical Multi-task Deep-learning ARG framework (HMD-ARG) can reveal novel or rare ones [98]. Because these resources differ in scope and accuracy, reliance on a single or outdated approach may underestimate resistance, especially in low-resource or environmental settings. By combining curated and predictive methods, the review provides updated risk assessments that highlight the gut microbiome as a central hub for ARG spread and stress the need for standardized One Health–aligned surveillance to improve global AMR projections [98]. In summary, gut carriage of colistin-resistant Enterobacterales is more than a passive finding; it is a clinical time bomb. For the carrier, it may presage an untreatable infection. For society, it accelerates the spread of last-resort antibiotic resistance, undermining both hospital infection control efforts and community-level public health. Active surveillance, improved diagnostic tools, antibiotic stewardship, and infection prevention strategies must be implemented to prevent this silent threat from escalating further.

1.6. Alternative Strategies to Colistin for Managing Multidrug-Resistant Enterobacterales

As resistance to colistin increases due to the dissemination of mcr genes, the clinical need for effective alternatives has become critical. Emerging and existing alternatives include novel β-lactam/β-lactamase inhibitor combinations, cefiderocol, bacteriophage therapy, antimicrobial peptides, and CRISPR-based antimicrobials. These approaches vary in readiness from approved therapeutics to experimental solutions and collectively represent a multifaceted response to the challenge of colistin resistance.
Recent years have seen the development of several antibiotics capable of treating infections caused by carbapenem-resistant and colistin-resistant Enterobacterales. Notable agents include:
  • Cefiderocol, a siderophore cephalosporin with potent activity against Gram-negative pathogens, including mcr-positive strains [99].
  • Ceftazidime-avibactam and meropenem-vaborbactam, which are active against KPC-producing organisms, although their efficacy may be limited in mcr-co-harboring isolates [92].
  • Tigecycline and eravacycline (new-generation tetracyclines) often retain activity against colistin-resistant isolates and are used for intra-abdominal and complicated soft tissue infections [100].
  • Fosfomycin has also shown synergistic potential in combination regimens, especially for urinary tract infections [101].
These agents are not without limitations (e.g., reduced efficacy in bloodstream infections or rapid emergence of resistance), but they expand the therapeutic arsenal beyond colistin. Notably, treatment-emergent cefiderocol resistance has been documented: across phase 3 trials (APEKS-NP, CREDIBLE-CR), >4-fold MIC increases occurred in ~7% of treated patients, though only ~1–2% crossed clinical resistance breakpoints. Observational series and case reports have further described sporadic emergence (e.g., in A. baumannii, E. cloacae, and E. coli), typically under high bacterial burden, prolonged exposure, or suboptimal source control [102,103,104,105].
Antimicrobial peptides (AMPs), such as defensins and synthetic analogs, act by disrupting bacterial membranes and can retain activity despite mcr-mediated resistance [106]. Synthetic AMPs and peptidomimetics are being designed to overcome issues of toxicity and stability. Preclinical studies demonstrate their ability to kill colistin-resistant bacteria and suppress resistance evolution [107].

1.7. Decolonization Strategies for mcr-Positive Gut Colonization

The increasing prevalence of mcr-positive Enterobacterales in the human gastrointestinal tract represents a major challenge for infection control. Gut colonization often precedes invasive infections and facilitates horizontal transmission of resistance genes. Although no standard treatment currently exists for decolonizing the gut from mcr-harboring organisms, several investigational strategies have shown promise. These approaches range from conventional antimicrobials to next-generation microbiome-based and gene-targeted interventions (Figure 4).

1.7.1. Antibiotic-Based Approaches

One of the earliest approaches explored for decolonization involved the use of non-absorbable oral antibiotics. Agents such as colistin, rifaximin, aminoglycosides (e.g., neomycin, gentamicin), and their combinations have been trialed to reduce intestinal colonization with multidrug-resistant Enterobacterales (MDRE). In small studies, oral gentamicin or colistin combined with rifaximin showed transient reductions in colonization density but failed to eradicate the resistant strains [108,109]. Furthermore, these regimens pose significant risks: they can further disrupt the gut microbiota, select for resistant subpopulations, and may co-select for resistance genes on shared plasmids [109]. In the case of mcr-positive bacteria, the utility of oral colistin is inherently limited, as the resistance gene renders the target ineffective.
Overall, antibiotic-based decolonization strategies remain low in feasibility and clinical readiness. While they are conceptually straightforward and relatively inexpensive, their usefulness is undermined by high relapse rates, disruption of commensal gut flora, and the risk of selecting for additional resistance mechanisms. No standardized protocols have been established, and the few available trials are small and heterogeneous. Consequently, antibiotic-based approaches are unlikely to provide a sustainable or widely applicable solution for mcr-positive gut carriage.

1.7.2. Fecal Microbiota Transplantation (FMT)

FMT involves the transfer of stool from a healthy donor into the gastrointestinal tract of a colonized individual to restore microbial diversity and suppress pathogenic organisms. It is now a well-established treatment for recurrent Clostridioides difficile infection and has shown efficacy in decolonizing MDRE [110,111]. Although limited data exist specifically on mcr-positive bacteria, a case series reported partial success in eradicating intestinal carriage of mcr-1-positive E. coli after repeated FMTs [87]. Mechanistically, FMT restores colonization resistance, introduces competitive taxa, and can reduce inflammation and gut permeability, thereby reducing opportunities for resistant organisms to persist. Challenges include donor screening, regulatory oversight, and the variability in clinical responses, but ongoing trials are investigating its potential in AMR decolonization.
While FMT has shown promise in decolonizing multidrug-resistant pathogens, robust clinical data specifically addressing mcr-positive Enterobacterales remain limited. Most available evidence stems from isolated case series or anecdotal reports, with no randomized controlled trials currently available to guide standardized use in this context [87,111]. Additionally, challenges such as donor variability, regulatory constraints, and potential risks in immunocompromised patients further complicate its broader adoption [110]. This highlights a critical need for prospective, multicenter trials focused on microbiome-based decolonization strategies for colistin-resistant organisms.
Another limitation is the variability in outcomes between different centers and protocols, which makes it difficult to compare results or define standardized success rates. The long-term durability of decolonization following FMT is also uncertain, as relapse or recolonization may occur, particularly in settings with high environmental or household exposure to resistant bacteria. In addition, the optimal route of administration (oral capsules, colonoscopy, or nasogastric delivery) has not been established for resistant Enterobacterales, and each carries distinct logistical and safety considerations. Finally, the cost and complexity of donor screening and material preparation restrict scalability, especially in low-resource regions where mcr carriage is often most prevalent [112,113,114].

1.7.3. Bacteriophage Therapy

Bacteriophage (phage) therapy has re-emerged as a promising alternative or adjunct to antibiotics for targeting multidrug-resistant organisms, including colistin-resistant Enterobacterales. Phage therapy uses lytic viruses that specifically infect and kill bacteria. It offers a highly selective and adaptable strategy to target mcr-positive strains without disturbing the broader microbiome. In vitro and in vivo models have demonstrated that bacteriophages can reduce the burden of colistin-resistant E. coli and K. pneumoniae [115]. Certain naturally occurring or engineered bacteriophages have demonstrated synergistic activity with colistin, including against mcr-1-producing strains, by increasing bacterial membrane permeability or disrupting resistance pathway [116,117]. However, phage resistance, narrow host ranges, and limited regulatory pathways remain obstacles. Personalized phage cocktails, adjusted to the colonizing strain’s genotype, may offer future solutions for selective gut decolonization, particularly in high-risk groups such as immunocompromised patients, neonates, or those with severe comorbidities.
Several in vivo and ex vivo studies have demonstrated that lytic phages can significantly reduce intestinal loads of mcr-positive E. coli and K. pneumoniae, particularly when administered orally or via encapsulated delivery systems to withstand gastric acid [118,119]. Phage cocktails have been shown to prevent the emergence of resistance more effectively than monophage treatments and may synergize with antibiotics like colistin or tigecycline [120]. Additionally, engineered or synthetic phages designed to express CRISPR-Cas systems or biofilm-degrading enzymes have shown enhanced efficacy against biofilm-forming, colistin-resistant strains [121].
Despite encouraging laboratory and animal data, the clinical feasibility of phage therapy for gut decolonization remains uncertain. Host range limitations require personalized cocktails matched to individual colonizing strains, a process that is time-consuming and not readily scalable. Resistance to phages can emerge rapidly, particularly in the gut where high bacterial densities promote adaptation. Regulatory pathways for phage use differ widely between countries, and standardized manufacturing practices are not yet established. To date, clinical use has been largely confined to compassionate-use cases or early-phase trials, placing phage therapy at a low-to-intermediate readiness level. Its future utility will depend on overcoming these technical, regulatory, and scalability barriers [122,123,124].

1.7.4. CRISPR-Cas-Based Systems

CRISPR-Cas systems, originally developed for gene editing, can be reprogrammed to target and eliminate specific DNA sequences such as resistance genes. Experimental models have used CRISPR-Cas constructs to selectively excise mcr plasmids from E. coli without affecting host cell viability or the commensal microbiota [125].
These systems can be delivered via engineered bacteriophages or conjugative plasmids, enabling them to spread across bacterial populations in the gut [126]. While still in early research phases, CRISPR-Cas antimicrobials represent a groundbreaking approach that could allow for precise, resistance-gene-specific decolonization, minimizing ecological disruption.
Although CRISPR-Cas offers exceptional specificity in targeting and removing mcr-mediated resistance, practical implementation faces substantial technical and translational hurdles. First, the delivery of CRISPR constructs into the complex gut microbiome remains inefficient. While vectors such as conjugative plasmids, bacteriophages, and nanoparticles have been explored, each has significant limitations in terms of efficiency and stability in vivo [127,128].
Several innovative approaches have demonstrated promise. For instance, engineered conjugative systems achieved over 99.9% elimination of target antibiotic-resistant E. coli in the mouse gut—highlighting the potential of horizontal transfer vehicles embopress.org. Additionally, phage-mediated delivery systems have been shown to reach specific bacterial strains within the murine gastrointestinal tract, yet efficiency and host range remain major constraints [129].
Furthermore, resistance to CRISPR-Cas interventions can emerge rapidly. Escape mechanisms include spontaneous mutations in Cas genes or target protospacers, spacer deletion via homologous recombination, and the presence of anti-CRISPR proteins in target bacteria [128]. On the regulatory and safety fronts, deployment of CRISPR-Cas within live microbial ecosystems raises complex biosafety issues. Off-target effects could disrupt commensal populations or facilitate horizontal transfer of gene-editing constructs. To date, regulatory pathways for such “live-edit genetic interventions” are undefined in most jurisdictions.
In summary, while CRISPR-Cas antimicrobials are at an exciting proof-of-concept stage, current readiness remains low. Overcoming key barriers—effective in situ delivery, resistance mitigation, and biosafety/regulatory frameworks—is essential before these methods can translate into viable clinical tools for decolonizing mcr-positive gut reservoirs [130,131].

1.7.5. Probiotics and Microbiota Modulators

Probiotic interventions aim to shift the gut microbial composition by introducing beneficial bacterial strains that can compete with resistant pathogens. Lactobacillus and Bifidobacterium species have been shown to inhibit the adhesion and colonization of MDRE in vitro and in animal models [132,133,134]. However, evidence of efficacy against mcr-positive Enterobacterales is sparse.
Recent studies suggest that probiotics and microbiota-directed therapies may offer promising adjunct strategies for reducing intestinal colonization by multidrug-resistant organisms, including colistin-resistant Enterobacterales. In a pilot study among long-term care residents, a multispecies probiotic intervention was associated with a transient reduction in MDRE carriage, including colistin-resistant strains, and promoted increased microbial diversity [135]. While complete eradication was not achieved, the probiotic effect was more pronounced in individuals with higher baseline colonization, indicating possible niche competition dynamics. Similarly, targeted microbiota restoration using biotherapeutic formulations significantly decreased intestinal loads of ESBL-producing and colistin-resistant Enterobacterales, without disrupting commensal flora, supporting the viability of non-antibiotic decolonization approaches [136]. Beyond conventional probiotics, next-generation candidates such as Akkermansia muciniphila are drawing attention due to their ability to enhance epithelial barrier integrity and modulate host immune responses. Preclinical studies have shown that A. muciniphila can reinforce the mucus layer, promote regulatory T-cell activity, and create metabolic environments unfavorable to pathobiont expansion [137,138]. Furthermore, this strain has been linked to upregulation of tight junction proteins and modulation of IL-22 signaling, suggesting not only the gut microbiota’s role as a reservoir of colistin resistance, but also its potential as a therapeutic target for restoring colonization resistance against multidrug-resistant organisms [139].
Although probiotics and next-generation biotherapeutics represent a safe and conceptually scalable approach, their clinical readiness for eradicating mcr-positive Enterobacterales is low. Conventional probiotics such as Lactobacillus and Bifidobacterium have been evaluated in randomized clinical trials, but outcomes for decolonizing multidrug-resistant Enterobacterales have been inconsistent, often showing only transient effects that diminish once supplementation ceases [140,141,142]. Results also vary substantially between individuals depending on baseline microbiome composition and host factors [143]. Next-generation candidates such as Akkermansia muciniphila and Faecalibacterium prausnitzii demonstrate promising effects in restoring colonization resistance and improving host metabolism, but their culture requirements, formulation stability, and safety in vulnerable populations remain significant barriers [144]. Regulatory approval of live biotherapeutics requires rigorous demonstration of safety, batch-to-batch consistency, and long-term efficacy.
While progress has been made in defining regulatory frameworks, including FDA guidance on chemistry, manufacturing, and control standards, current requirements remain challenging to meet for next-generation products [145]. Trials to date suffer from lack of standardization in probiotic strains, dosing regimens, and participant selection [146]. Moreover, reported outcomes are often inconsistent between studies and individuals, complicating interpretation and application [147]. Critically, definitive data—particularly randomized controlled trials demonstrating sustained reduction in mcr-positive colonization—are still lacking. At present, probiotics and next-generation biotherapeutics should be considered experimental adjuncts rather than practical clinical tools for decolonizing mcr-positive gut reservoirs.

1.7.6. Targeted Antimicrobial Peptides and Nanoparticles

Recent advances in antimicrobial delivery systems have led to the development of targeted peptides and nanoparticles designed to overcome outer membrane resistance mechanisms conferred by mcr genes. These include cationic peptides that mimic host defense peptides, antimicrobial-loaded liposomes, and silver or polymer-based nanoparticles that can penetrate bacterial envelopes and deliver localized bactericidal effects [148]. Some formulations show activity even in the presence of mcr-mediated lipid A modifications. Though primarily tested in vitro and in animal models, these technologies may eventually allow targeted eradication of resistant strains in the gut while preserving overall microbial diversity.
Beyond biological approaches, metabolic adjuncts are also emerging. For instance, vitamin B6 has been shown to resensitize mcr-harboring Gram-negative bacteria to colistin in preclinical models, offering a safe and potentially scalable adjunct to conventional therapies [149].
Antimicrobial peptides (AMPs) and nanoparticle-based agents are attractive alternatives because of their broad-spectrum activity and potential to disrupt biofilms, which could make them useful in clearing multidrug-resistant Enterobacterales. However, most data are preclinical, and several challenges limit their feasibility. Many AMPs exhibit poor stability in the gastrointestinal tract due to proteolytic degradation and variable pH, which reduces their activity in vivo [150]. Cytotoxicity and immunogenicity also remain concerns, with some peptides inducing host cell damage at therapeutic concentrations [151]. Similarly, nanoparticles such as silver, chitosan, and lipid-based carriers have shown in vitro bactericidal activity and synergy with antibiotics, but safety issues related to accumulation, oxidative stress, and off-target toxicity restrict their translation [152]. To date, no AMP or nanoparticle strategy has been validated in controlled human trials for decolonizing mcr-positive organisms, placing their readiness level at an early preclinical stage.

1.8. Artificial Intelligence–Driven Prediction of mcr Emergence

Recent advances in artificial intelligence (AI) and machine learning (ML) are opening new opportunities to anticipate the emergence and dissemination of mcr genes across microbial populations. Traditional surveillance relies on retrospective sequencing and culture-based detection, which often lags behind real-time resistance dynamics. In contrast, AI models trained on bacterial genomic and metagenomic datasets can identify sequence motifs, mobile genetic elements, or plasmid signatures linked to mcr mobilization, enabling early detection before high-level resistance evolves. Reviews highlight the application of ML in predicting antimicrobial resistance patterns using whole-genome data across diverse pathogens, including early efforts employing classical methods like decision trees and k-mer analysis to forecast novel resistance determinants [153,154,155,156].
Innovative frameworks such as evolutionary accumulation modeling (EvAM) apply ML to reconstruct and predict MDR gene acquisition trajectories without direct longitudinal sampling. By modeling evolutionary “steps” in resistance development, EvAM provides a probabilistic view of how novel resistance determinants like mcr variants may emerge and spread [157]. Advances in genomic language modeling—employing transformer-based architectures to capture both sequence context and the related literature—hold promise for classifying resistance gene classes and enhancing predictive accuracy for emergent mcr subtypes [58,158]. Multimodal AI models that integrate molecular structures, genomic contexts, and deep learning—such as contrastive learning frameworks (e.g., CL-MFAP)—can accelerate antibiotic discovery and potentially forecast resistance gene–drug interactions, creating complementary tools to mcr surveillance [159].
At the same time, translational challenges remain. Current ML pipelines often treat genes as independent predictors, disregarding structural or functional linkages, and their generalizability is frequently limited by population structure, class imbalance, and heterogeneous laboratory phenotypes. Furthermore, clinical uptake has been limited, with only a small number of methods implemented in practice within healthcare or public health contexts, and the need for interpretability remains a critical requirement to ensure end-user confidence [160,161].
Collectively, these AI-driven approaches offer a future roadmap for integrating computational biology with microbiological surveillance, helping anticipate and forestall the rise of mcr-mediated resistance through predictive monitoring and strategic intervention.

1.9. Antimicrobial Stewardship and Infection Control Implications

To effectively address the rising threat of colistin resistance in the gut microbiota, robust antimicrobial stewardship and comprehensive infection control strategies must be implemented across clinical, agricultural, and public health domains. The use of colistin in human medicine should be limited strictly to last-resort scenarios involving life-threatening infections caused by multidrug-resistant Gram-negative pathogens. Its application must be governed by clear clinical guidelines and oversight by infectious disease specialists. Evidence suggests that inappropriate or sub-therapeutic use of colistin exerts selective pressure on gut flora, encouraging the emergence and persistence of mcr-positive bacteria. Sub-inhibitory concentrations, in particular, have been linked to enhanced plasmid transfer and resistance propagation. Therefore, careful consideration of dosage, therapeutic monitoring, and exploration of alternative treatments—such as novel antimicrobials, phage therapy, or antimicrobial peptides—is warranted to preserve colistin’s efficacy [6,162,163,164,165].
In parallel, there is an urgent need to eliminate colistin’s use in food animal production. The widespread application of colistin as a growth promoter and prophylactic agent in livestock has been a key factor in the global dissemination of mcr genes. Regulatory action taken by several countries, including China and members of the European Union, to ban or restrict colistin use in agriculture has already shown measurable impact in reducing mcr prevalence in both animals and humans. However, many regions still lack enforceable policies, and the export of veterinary-grade colistin to low- and middle-income countries remains problematic. A globally coordinated regulatory framework—integrated through a One Health lens—should bring together stakeholders from human health, veterinary medicine, and agriculture to abolish non-therapeutic colistin use and curtail resistance at its environmental source [8,14,166,167]. The broader strengths, weaknesses, opportunities, and threats of such One Health interventions are summarized in Table 2.
Surveillance of colistin resistance must be expanded and refined. Targeted screening programs in hospitals and communities are essential to detect colonization early and prevent outbreaks. High-risk populations—such as ICU patients receiving multiple antibiotics, neonates in intensive care, and individuals transferred from regions with high mcr prevalence—should be prioritized for screening. Surveillance should not be limited to clinical isolates alone; environmental monitoring of sewage, wastewater, and farm runoff can provide early warning of resistance hotspots. Importantly, diagnostic laboratories must incorporate reliable colistin susceptibility testing into their protocols, using broth microdilution or other validated methods to ensure detection of mcr-mediated resistance, which may otherwise go unnoticed due to technical challenges in routine antimicrobial testing [35,52,93,168]. However, significant barriers remain: broth microdilution testing is technically demanding and resource-intensive; many low- and middle-income countries lack laboratory capacity and surveillance infrastructure; standardized protocols across human, veterinary, and environmental sectors are still limited; and data sharing between local, national, and international networks is often fragmented [169].
The data reveal substantial geographic variability in mcr distribution, with particularly high rates in Asian poultry systems (e.g., Bangladesh, China), widespread environmental detection in Europe and Asia, and emerging clinical cases in Africa, South America, and Eastern Europe [170,171,172,173,174,175,176,177,178,179,180,181]. Notably, mcr-1 remains the most dominant variant globally, often co-occurring with multidrug-resistant profiles [41]. In Romania, recent clinical reports have documented the first human isolates carrying plasmid-mediated mcr-1, while earlier studies had already detected mcr-1 in poultry-associated E. coli, highlighting the persistence and zoonotic potential of this resistance gene [174,175].
Infection control efforts within healthcare facilities must be intensified to prevent horizontal transmission of colistin-resistant organisms. Patients known to harbor mcr-positive Enterobacterales—especially those co-carrying ESBL or carbapenemase genes—should be managed using strict contact precautions, including gloves, gowns, and possibly single-room isolation. These measures are particularly critical in settings such as intensive care units and neonatal wards. Environmental decontamination protocols must be optimized to eliminate Gram-negative pathogens from surfaces that may become contaminated via fecal shedding. Coordination between infection prevention teams and antimicrobial stewardship units is vital to identify high-risk patients, initiate screening where needed, and ensure compliance with protocols designed to minimize transmission within the hospital environment [182,183].
Future efforts should integrate cutting-edge bioinformatics and economic modeling to enhance the translational impact of resistome research. Advances in shotgun metagenomic sequencing, especially approaches enabling species-level resolution of resistance genes (e.g., Argo, a long-read overlapping tool for precise ARG quantification) significantly elevate the capacity to track mcr dissemination in both clinical and environmental reservoirs [184,185,186]. Meanwhile, recent modeling studies estimate that antibiotic-resistant infections in 2019 alone cost approximately US $693 billion in hospital care and US $194 billion in productivity losses, underscoring the staggering economic burden of AMR [187]. By combining high-resolution resistome profiling with robust economic impact assessments, policymakers can better prioritize interventions and allocate resources to curb mcr-mediated resistance within a One Health framework.
Altogether, addressing colistin resistance in the gut microbiota demands a multidimensional response rooted in stewardship, surveillance, and infection control. Limiting colistin use to absolute clinical necessity, eradicating agricultural misuse, strengthening laboratory and environmental surveillance, and enforcing rigorous hygiene practices are the foundational pillars of such a response. Gut microbiota alterations, particularly the depletion of short-chain fatty acids-producing bacteria and rise in opportunistic pathogens, have been linked to heightened systemic inflammation and cytokine responses [133]. Only by acknowledging the interconnected nature of human, animal, and environmental health can the global community mount an effective defense against the further spread of colistin resistance. The convergence of antimicrobial stewardship and infection prevention, aligned through a One Health framework, is essential to preserve this critical last-line antibiotic and mitigate the risks posed by mcr-positive bacteria in the gut ecosystem [62,188].

2. Conclusions

The gut microbiota has emerged as a central player in the propagation of colistin resistance, acting not only as a reservoir for mcr-positive organisms but also as a dynamic environment where resistance genes are exchanged and stabilized. The silent colonization of the gastrointestinal tract by colistin-resistant Enterobacterales—often in individuals without prior antibiotic exposure—illustrates how resistance can spread undetected within communities and across species boundaries.
This microbial ecosystem is particularly vulnerable to selective pressures from antibiotic use in both human medicine and agriculture. Practices such as routine colistin administration in livestock have contributed to the enrichment of resistant strains in the gut, with implications for both foodborne transmission and environmental dissemination. Meanwhile, the persistence of mcr genes in commensals poses a risk of horizontal gene transfer to pathogenic bacteria, particularly in hospitalized or immunocompromised patients.
Addressing colistin resistance at its microbial source will require more than antimicrobial stewardship—it demands targeted strategies to monitor, disrupt, and ultimately reduce carriage within the gut. This includes investment in microbiome-based interventions, improved diagnostics for colonization detection, and enhanced surveillance capable of capturing gut-level resistance dynamics. Particular attention must be paid to high-risk populations, such as neonates, where early colonization may have long-term clinical consequences.
By prioritizing the gut microbiota in both research and policy, and aligning efforts across human, animal, and environmental health sectors, it is still possible to limit the spread of mcr-mediated resistance and preserve the therapeutic value of colistin in the face of rising antimicrobial threats. Recent advances in AI- and ML-based genomic surveillance further provide a roadmap for anticipating and mitigating the emergence of mcr-mediated resistance, complementing traditional retrospective approaches.

Author Contributions

Conceptualization, I.-L.M., I.L.M. and V.D.R.; investigation, R.-Ş.M. and A.V.; data curation, A.F.O. and T.G.P.; writing—original draft preparation, I.-L.M., A.V., V.D.R. and T.G.P.; writing—review and editing, E.G.M., R.-Ş.M., M.-A.P. and I.L.M.; visualization, M.-A.P. and A.F.O.; supervision, E.G.M., I.L.M. and I.-L.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest. Regional surveillance emphasis reflects available data and may not capture all global trends.

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Figure 1. mcr gene prevalence and impact of colistin on the gut microbiome. (Left) Heatmap showing the prevalence of mcr genes in humans and food sources across different countries, expressed as the percentage of positive samples among those tested. (Right) Schematic overview of colistin administration and its effects on gut microbiota composition, including dysbiosis characterized by relative increases (↑) or decreases (↓) in specific bacterial taxa. Colistin exposure is associated with enrichment of Treponema, Acidaminococcus, Lactobacillus, and Mycoplasma, along with reductions in Prevotella and Bacteroides. Colistin use can also drive the selection of resistance genes to other antibiotic classes. Created in BioRender. Pasare, A. (2025) https://BioRender.com/vq0ic4j; Accessed on 31 August 2025.
Figure 1. mcr gene prevalence and impact of colistin on the gut microbiome. (Left) Heatmap showing the prevalence of mcr genes in humans and food sources across different countries, expressed as the percentage of positive samples among those tested. (Right) Schematic overview of colistin administration and its effects on gut microbiota composition, including dysbiosis characterized by relative increases (↑) or decreases (↓) in specific bacterial taxa. Colistin exposure is associated with enrichment of Treponema, Acidaminococcus, Lactobacillus, and Mycoplasma, along with reductions in Prevotella and Bacteroides. Colistin use can also drive the selection of resistance genes to other antibiotic classes. Created in BioRender. Pasare, A. (2025) https://BioRender.com/vq0ic4j; Accessed on 31 August 2025.
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Figure 2. Horizontal transfer of mcr genes within the gut microbiota. The gastrointestinal tract provides an ideal environment for plasmid-mediated gene exchange. Commensal bacteria such as E. coli, Enterobacter, and Citrobacter spp. can harbor mcr-positive plasmids (e.g., IncI2, IncX4, IncHI2), which are then transferred to pathogenic or opportunistic species such as K. pneumoniae during co-colonization. Mobile genetic elements, including insertion sequences (ISApl1) and transposons, facilitate movement of resistance genes across species. Close physical proximity of microbes, biofilm formation, and antibiotic exposure enhance the frequency of conjugation and recombination. This dynamic gene flow highlights the gut as both a reservoir and an amplifier of colistin resistance. Created in BioRender. Pasare, A. (2025) https://BioRender.com/8oungut; Accessed on 31 August 2025.
Figure 2. Horizontal transfer of mcr genes within the gut microbiota. The gastrointestinal tract provides an ideal environment for plasmid-mediated gene exchange. Commensal bacteria such as E. coli, Enterobacter, and Citrobacter spp. can harbor mcr-positive plasmids (e.g., IncI2, IncX4, IncHI2), which are then transferred to pathogenic or opportunistic species such as K. pneumoniae during co-colonization. Mobile genetic elements, including insertion sequences (ISApl1) and transposons, facilitate movement of resistance genes across species. Close physical proximity of microbes, biofilm formation, and antibiotic exposure enhance the frequency of conjugation and recombination. This dynamic gene flow highlights the gut as both a reservoir and an amplifier of colistin resistance. Created in BioRender. Pasare, A. (2025) https://BioRender.com/8oungut; Accessed on 31 August 2025.
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Figure 3. Neonatal gut colonization and antimicrobial resistance risks. Newborns can acquire mcr-positive Enterobacterales from mothers, hospital environments, or caregivers, often without prior colistin exposure. Their immature immunity, fragile gut barrier, and frequent antibiotic use in NICUs increase the risk of progression from silent carriage to invasive infections (e.g., sepsis). Early colonization may also affect long-term immunity and growth, while colonized neonates can serve as reservoirs for hospital and community transmission. Created in BioRender. Pasare, A. (2025) https://BioRender.com/1a1bmxv; Accessed on 31 August 2025. AMR—antimicrobial resistance.
Figure 3. Neonatal gut colonization and antimicrobial resistance risks. Newborns can acquire mcr-positive Enterobacterales from mothers, hospital environments, or caregivers, often without prior colistin exposure. Their immature immunity, fragile gut barrier, and frequent antibiotic use in NICUs increase the risk of progression from silent carriage to invasive infections (e.g., sepsis). Early colonization may also affect long-term immunity and growth, while colonized neonates can serve as reservoirs for hospital and community transmission. Created in BioRender. Pasare, A. (2025) https://BioRender.com/1a1bmxv; Accessed on 31 August 2025. AMR—antimicrobial resistance.
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Figure 4. Strategies under investigation to eradicate mcr-positive Enterobacterales from the gut. Approaches include non-absorbable antibiotics, fecal microbiota transplantation to restore colonization resistance, bacteriophage therapy targeting resistant strains, CRISPR-Cas systems to selectively remove resistance genes, probiotics/next-generation biotherapeutics to rebalance the microbiota, and antimicrobial peptides or nanoparticles with activity against mcr-mediated resistance. These interventions are promising but remain largely experimental. Created in BioRender. Pasare, A. (2025) https://BioRender.com/ml031w1; Accessed on 31 August 2025.
Figure 4. Strategies under investigation to eradicate mcr-positive Enterobacterales from the gut. Approaches include non-absorbable antibiotics, fecal microbiota transplantation to restore colonization resistance, bacteriophage therapy targeting resistant strains, CRISPR-Cas systems to selectively remove resistance genes, probiotics/next-generation biotherapeutics to rebalance the microbiota, and antimicrobial peptides or nanoparticles with activity against mcr-mediated resistance. These interventions are promising but remain largely experimental. Created in BioRender. Pasare, A. (2025) https://BioRender.com/ml031w1; Accessed on 31 August 2025.
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Table 1. Summary of mcr gene variants, bacterial hosts, and associated plasmid types.
Table 1. Summary of mcr gene variants, bacterial hosts, and associated plasmid types.
GeneYear and Country of First ReportTypical Hosts and SourcesPlasmid/LocationHorizontal Transfer EfficiencyColistin MIC ImpactNotes
mcr-12015, China (E. coli from pigs and meat)E. coli, Klebsiella
Enterobacterales
IncI2, IncX4, IncHI2High—highly conjugative on diverse plasmid backbone
widely disseminated
2–8 mg/L [17]Most globally prevalent; food/clinical link
mcr-22016, Belgium (pigs)E. coliIncX4Efficient but less prevalentSimilar to mcr-1, commonly 4–8 mg/L in E. coli [18,19]Limited global spread
mcr-32017, China (pig feces)E. coli, Salmonella, AeromonasIncHI2, IncP, IncFIIModerate, some chromosomal insertions4–8 mg/L in E. coli, may be higher in other hosts (e.g., Aeromonas) [20,21]Environmental reservoirs important
mcr-42017, Italy (swine feces)Salmonella enterica, E. coliIncHI2, ColE-likeTransferable4–8 mg/L [22]Sporadic
mcr-52017, Germany (animal feces, food)Salmonella, E. coliIncX1, chromosomalIntegrated into chromosomes; conjugation possible but less efficient.~8 mg/L in Salmonella Paratyphi B
~4 mg/L in other isolates [23]
Detected mostly in food chain
mcr-62017, UK (pig)Moraxella spp.ChromosomalNot plasmid-borne
Chromosomally located in Moraxella; no evidence of efficient conjugative transfer.
Low–moderate (1–2 mg/L) [24]Rare
mcr-72018, China (chicken)K. pneumoniaeIncI1Transferable
Experimentally shown to mobilize between Enterobacterales.
4–8 mg/L [25]Limited distribution
mcr-82018, China (cattle, humans)K. pneumoniae, RaoultellaIncFII(K), IncHI2Efficient in K. pneumoniae
Demonstrated conjugation
8–16 mg/L in K. pneumoniae;
16 mg/L have been reported for mcr-8.1 [26,27]
Clinical outbreaks in Asia
mcr-92019, USA (human/animal/food/environment)Serratia, MorganellaIncHI2, IncFIIConjugative, inducible (qseB/qseC regulation)frequently “silent” with MIC ≤ 2 mg/L unless induced; upon induction, MIC may increase [28,29]Widespread, but variable phenotypic resistance
mcr-102020, China (clinical Enterobacter roggenkampii)Enterobacter spp., KlebsiellaIncFII(K)Transferable
Conjugation demonstrated
~4 mg/L (E. roggenkampii), but broader ranges from 4 up to >16–128 mg/L in Enterobacter spp.; inducibility has been observed [30,31]Emerging, low prevalence
MIC—minimum inhibitory concentration.
Table 2. SWOT analysis of One Health interventions targeting mcr-mediated resistance.
Table 2. SWOT analysis of One Health interventions targeting mcr-mediated resistance.
StrengthsWeaknessesOpportunitiesThreats
Established AMR surveillance platforms (e.g., GLASS, national veterinary monitoring programs) provide a ready framework into which mcr surveillance can be embedded across clinical, veterinary, and environmental compartments.Sparse randomized controlled trials for decolonization strategies; heterogeneous designs limiting inferenceIncorporation of wastewater-based metagenomics and high-throughput sequencing pipelines could enable near real-time monitoring of mcr gene circulation, improving early detection of resistance hotspots.Co-selection pressures from non-polymyxin antibiotics, disinfectants, and heavy metals sustaining mcr despite reduced colistin use
Implementation of antimicrobial stewardship policies and colistin-use restrictions in multiple regions demonstrates feasibility of coordinated policy-driven interventions.Limited laboratory capacity and lack of standardized susceptibility testing methodsPhase-out of colistin in agriculture, vaccination and biosecurity measures in livestock, and improved sanitation infrastructureGlobal dissemination of high-risk clones and plasmids via travel, trade, and wildlife vectors
Increasing accessibility of sequencing and bioinformatics tools supports comprehensive resistome characterization and comparative genomics across sectors.Data fragmentation between human, veterinary, and environmental sectors impede integrated responsesNetwork-informed targeting of hub taxa or plasmid backbones driving disseminationEconomic, regulatory, and ethical challenges may slow translation of microbiome-based, phage, or CRISPR-driven decolonization approaches into clinical or agricultural practice.
Growing recognition of One Health approaches in policy frameworksIncomplete epidemiological data from LMICs creates geographic blind spots in global risk mapsDevelopment of standardized trial protocols for horizontal gene transfer inhibition, microbiota restoration, and decolonization therapies could generate actionable clinical evidence.Risk of delayed global coordination leading to entrenched resistance reservoirs
AMR—Antimicrobial resistance; CRISPR—Clustered regularly interspaced short palindromic repeats; LMICs—Low- and middle-income countries; mcr—Mobilized colistin resistance.
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Miftode, I.-L.; Vâţă, A.; Miftode, R.-Ş.; Oancea, A.F.; Pasăre, M.-A.; Parângă, T.G.; Miftode, E.G.; Mititiuc, I.L.; Radu, V.D. The Gut Microbiome and Colistin Resistance: A Hidden Driver of Antimicrobial Failure. Int. J. Mol. Sci. 2025, 26, 8899. https://doi.org/10.3390/ijms26188899

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Miftode I-L, Vâţă A, Miftode R-Ş, Oancea AF, Pasăre M-A, Parângă TG, Miftode EG, Mititiuc IL, Radu VD. The Gut Microbiome and Colistin Resistance: A Hidden Driver of Antimicrobial Failure. International Journal of Molecular Sciences. 2025; 26(18):8899. https://doi.org/10.3390/ijms26188899

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Miftode, Ionela-Larisa, Andrei Vâţă, Radu-Ştefan Miftode, Alexandru Florinel Oancea, Maria-Antoanela Pasăre, Tudoriţa Gabriela Parângă, Egidia Gabriela Miftode, Irina Luanda Mititiuc, and Viorel Dragoş Radu. 2025. "The Gut Microbiome and Colistin Resistance: A Hidden Driver of Antimicrobial Failure" International Journal of Molecular Sciences 26, no. 18: 8899. https://doi.org/10.3390/ijms26188899

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Miftode, I.-L., Vâţă, A., Miftode, R.-Ş., Oancea, A. F., Pasăre, M.-A., Parângă, T. G., Miftode, E. G., Mititiuc, I. L., & Radu, V. D. (2025). The Gut Microbiome and Colistin Resistance: A Hidden Driver of Antimicrobial Failure. International Journal of Molecular Sciences, 26(18), 8899. https://doi.org/10.3390/ijms26188899

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