Literature DB >> 31170271

Heteroresistance: A cause of unexplained antibiotic treatment failure?

Victor I Band1,2, David S Weiss1,2,3.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31170271      PMCID: PMC6553791          DOI: 10.1371/journal.ppat.1007726

Source DB:  PubMed          Journal:  PLoS Pathog        ISSN: 1553-7366            Impact factor:   6.823


× No keyword cloud information.
Antibiotic resistance is a major and increasing healthcare problem that threatens many of the achievements of modern medicine. Transplants, chemotherapy, and survival of extremely premature infants all rely on the efficacy of antibiotics to fight off infection. According to the Centers for Disease Control and Prevention (CDC), over 2 million infections every year in the United States are caused by antibiotic-resistant bacteria, resulting in at least 23,000 deaths and US$55 billion in increased healthcare costs and lost productivity [1]. Without significant action, antibiotic-resistant infections could annually kill 10 million people worldwide by the year 2050, eclipsing the number of deaths caused by cancer and adding US$100 trillion to the world’s healthcare costs by that time [2]. It is therefore critical to understand novel and often underrecognized mechanisms of resistance that represent barriers to antibiotic efficacy so as to combat them with new drugs and therapeutic approaches.

Heteroresistance as a form of subpopulation-mediated resistance

Studies on mechanisms of antibiotic resistance have typically focused on stable genetic mutations or acquisition of antibiotic resistance genes, both of which confer resistance to all the cells within a population. However, there is an increasing appreciation of the ways in which phenotypic traits expressed by minor subpopulations of cells can impact bacterial physiology, including resistance to antibiotics [3]. Heteroresistance (HR) is a phenomenon in which a preexisting subpopulation of resistant cells (Fig 1, panel A) can rapidly replicate in the presence of a given antibiotic (Fig 1, panel C), whereas the majority population of susceptible cells is killed. The mechanisms underlying HR are somewhat unclear, although unstable amplification of antibiotic resistance genes resulting in increased gene dosage is responsible for the resistant subpopulation in numerous cases [4-6].
Fig 1

Dynamics of heteroresistance during infection and clinical susceptibility testing.

(A) Schematic showing a patient infected with a heteroresistant bacterial isolate harboring a minor subpopulation of antibiotic-resistant cells (red). (B) Clinical susceptibility testing may not detect the minor resistant subpopulation, and the isolate would therefore be incorrectly designated susceptible to the given antibiotic. (C) Subsequent antibiotic therapy selects for the resistant subpopulation, which is able to grow in the presence of the drug. (D) Continued clinical susceptibility testing involves in vitro subculture of the heteroresistant bacteria in the absence of an antibiotic, which leads to a contraction of the resistant subpopulation. This minor subpopulation is therefore still not detected by clinical testing, and the isolate again appears susceptible. (E) Inappropriate antibiotic therapy ultimately leads to treatment failure and inability to clear the infection.

Dynamics of heteroresistance during infection and clinical susceptibility testing.

(A) Schematic showing a patient infected with a heteroresistant bacterial isolate harboring a minor subpopulation of antibiotic-resistant cells (red). (B) Clinical susceptibility testing may not detect the minor resistant subpopulation, and the isolate would therefore be incorrectly designated susceptible to the given antibiotic. (C) Subsequent antibiotic therapy selects for the resistant subpopulation, which is able to grow in the presence of the drug. (D) Continued clinical susceptibility testing involves in vitro subculture of the heteroresistant bacteria in the absence of an antibiotic, which leads to a contraction of the resistant subpopulation. This minor subpopulation is therefore still not detected by clinical testing, and the isolate again appears susceptible. (E) Inappropriate antibiotic therapy ultimately leads to treatment failure and inability to clear the infection. HR is distinct from other forms of subpopulation-mediated resistance such as persistence, in which a small subpopulation of bacteria that are temporarily quiescent or very slow growing display increased resistance to a wide range of antibiotics [7]. Persistence is believed to lead to the relapse of infection after cessation of antibiotic therapy, but it is not capable of causing acute treatment failure. HR is also distinct from tolerance, wherein a whole population of bacteria are able to survive transient exposure to high antibiotic concentrations, and in which there may be no preexisting resistant cells prior to antibiotic exposure [7]. It should be noted that the term “heteroresistance” has been used to describe mixed populations of bacteria with stable genetic differences, including closely related bacteria that developed mutations [8] or coinfections with two unrelated strains [9]. These are distinct occurrences that are not the focus of this review.

HR can affect treatment outcome

The relevance of HR has been debated; can the minor subpopulation of resistant cells affect treatment outcomes? There are numerous examples of vancomycin HR in Staphylococcus aureus, and it has been postulated that this may cause vancomycin treatment failure [10]. Although some reports suggest that vancomycin HR can lead to negative treatment outcomes [11], others have found that vancomycin is still effective in treating such strains [12]. These discrepancies may be due to the relatively minor 2- to 4-fold differences in minimum inhibitory concentration between the susceptible and resistant subpopulations in most vancomycin HR isolates. Beyond S. aureus, few studies have investigated the impact of HR on the outcome of in vivo antibiotic therapy. We recently identified a clinical isolate of the nosocomial pathogen Enterobacter cloacae that exhibited HR to the last-line polymyxin antibiotic colistin [13]. Colistin has been used increasingly to treat infections caused by gram-negative bacteria that are resistant to carbapenems, including Enterobacter, Klebsiella, and Escherichia coli, which together constitute the majority of the carbapenem-resistant Enterobacteriaceae (CRE). Whereas most of the cells of the heteroresistant E. cloacae strain were highly susceptible to colistin, 1%–10% of the population was resistant to 1,000× higher concentrations [13]. These resistant cells rapidly replicated in the presence of colistin, quickly becoming the majority population, indicating that they are distinct from persisters [14]. Interestingly, the frequency of the resistant subpopulation returned to baseline after a single antibiotic-free subculture, highlighting that this subpopulation transiently expands in the presence of the drug. Although the basis for this phenotypic reversion was unclear, it may in some cases be due to the loss of the aforementioned multiplication of antibiotic resistance genes through an undefined mechanism. At the transcriptional level, the resistant and susceptible subpopulations exhibited vast differences, including the up-regulation of colistin resistance genes controlled by the two-component histidine kinase PhoQ in the resistant cells [13]. Most importantly, HR had a profound impact on the efficacy of antibiotic treatment in vivo. Whereas colistin was effective in rescuing mice infected with a susceptible strain, those infected with colistin HR isolates failed colistin therapy and were unable to survive [14]. Treatment failure was preceded by a significant expansion of the colistin-resistant subpopulation in vivo. These findings clearly demonstrate the profound effect that HR can have on antibiotic treatment outcomes.

HR in the clinic

Although HR has been observed worldwide, in a variety of pathogens, and in response to numerous classes of antibiotics, very little epidemiologic data exists about its prevalence. In addition to E. cloacae and S. aureus, HR has been detected in Klebsiella species, E. coli, Acinetobacter baumannii, Pseudomonas aeruginosa, and others [15]. Furthermore, it has been observed against diverse antibiotics including aminoglycosides, carbapenems, and other beta-lactams [5, 15]. In a study of E. coli isolates in southwest China, 3.9% were heteroresistant to meropenem, 17.2% to ertapenem, and 25.0% to imipenem [16]. Additionally, A. baumannii strains from a cohort of Spanish hospitals displayed imipenem HR (20%) and meropenem HR (24%) [17]. HR has often been observed against the polymyxins colistin and polymyxin B. In addition to colistin HR in E. cloacae [14], this phenomenon has been described in many other species, including A. baumannii [18], Klebsiella pneumoniae [19], and Stenotrophomonas maltophilia [20], whereas polymyxin B HR has been observed in numerous species as well [15]. Polymyxin treatment in vitro can in some cases lead to regrowth of bacteria after initial killing and has been attributed to the presence of unstable resistant subpopulations characteristic of HR [14, 19, 21]. These subpopulations may be linked to the long history of polymyxin susceptibility testing being described as unreliable and difficult to interpret [22]. Clinical treatment with polymyxins is already challenging because of their low therapeutic index and drug stability [23], and the added complication of HR further threatens the clinical use of these last-line drugs. There is a large gap in our understanding of the impact of HR on treatment efficacy in human patients, and it is thus imperative that future studies investigate its clinical relevance. It will also be important to continue to investigate the prevalence of HR, although epidemiologic studies are hindered by the fact that this phenotype is often undetected by clinical diagnostic tests.

Clinically undetected HR

As mentioned previously, detection of HR by conventional antibiotic susceptibility tests is unreliable and varies greatly based on the method used. Resistant subpopulations in heteroresistant strains may be visible by gradient diffusion methods, such as disc diffusion and Etest [24], as colonies growing within the zone of inhibition. The gold-standard method to detect HR is population analysis profile, which consists of labor-intensive agar microdilution on a range of antibiotic concentrations. Unfortunately, this method is not feasible for clinical use, because of its duration and complexity. New diagnostics are needed that are sensitive enough to detect low-frequency resistant cells while maintaining the high reproducibility and low complexity that is standard for clinical testing methods. The inability to detect HR by routine diagnostic testing results in strains being misclassified as susceptible (Fig 1, panels B and D). This can occur when the antibiotic-resistant subpopulation is present at a very low frequency. We studied one such colistin HR isolate of E. cloacae that was designated as colistin susceptible by both Etest and broth microdilution testing [14]. The resistant subpopulation in this strain was present at 1 in 105 cells, which was nonetheless sufficient to mediate failure of colistin therapy in an in vivo infection model [14]. Demonstrating that this phenomenon is not restricted to Enterobacter, we recently identified two carbapenem-resistant K. pneumoniae (CRKP) isolates that similarly exhibited undetected colistin HR and led to failure of colistin therapy [19]. This is particularly concerning because infections with CRKP lead to high mortality rates [25], and undetected colistin HR may lead to inappropriate antibiotic prescription and unexplained treatment failure (Fig 1, panel E). In fact, even when a bacterial isolate is classified as susceptible to a given antibiotic, it is expected that antibiotic therapy will fail 10% of the time [26]. Therefore, the burden of such unexplained treatment failures is significant, and HR is a possible cause.

Beyond antibacterials: HR to other drugs and anti-infectives

Although HR has been best characterized in bacteria, this phenomenon exists in other pathogens as well. Infectious species of Candida can display HR to the antifungals amphotericin B and fluconazole [27]. Pathogenic Cryptococcus species have been shown to develop HR to itraconazole while simultaneously gaining increased virulence and altered morphology [28]. Although parasitic pathogens have not been reported to display HR to antiparasitics, there is one report of a phenomenon similar to HR. In Trypanosoma rhodesiense, the pathogen responsible for African sleeping sickness, a subpopulation of cells exhibit resistance to human serum because of differential expression of a surface glycoprotein, facilitating disease in humans [29]. Phenotypic heterogeneity can also occur in cancer against chemotherapeutics [30]. Some cancers have been observed to harbor a small population of phenotypically resistant cells exhibiting chromatin modifications, allowing the cells to resist 500-times-greater concentrations of chemotherapeutic tyrosine kinase inhibitors [31]. Thus, HR or similar phenomena may explain the resistance of some cancers to chemotherapeutics when the majority of the tumor cells appear to respond to therapy. Taken together, the current data on HR suggest that this phenomenon warrants much greater study. It is exhibited by both prokaryotes and eukaryotes, and evidence from animal infection models suggests that it can have a major impact on the outcome of therapy. The fact that HR is often undetected by clinical diagnostic tests highlights that it could be a significant cause of unexplained treatment failure. Future clinical studies will be critical to determine whether HR negatively affects outcomes in human patients. It is of the utmost importance that we thoroughly investigate all aspects of HR and potentially redefine diagnostic and treatment methods to account for the impact of these resistant subpopulations.
  29 in total

1.  Impact of carbapenem heteroresistance among clinical isolates of invasive Escherichia coli in Chongqing, southwestern China.

Authors:  J D Sun; S F Huang; S S Yang; S L Pu; C M Zhang; L P Zhang
Journal:  Clin Microbiol Infect       Date:  2014-12-26       Impact factor: 8.067

Review 2.  Antimicrobial susceptibility testing: a primer for clinicians.

Authors:  Kristi M Kuper; Deborah M Boles; John F Mohr; Audrey Wanger
Journal:  Pharmacotherapy       Date:  2009-11       Impact factor: 4.705

3.  Prevalence and analysis of microbiological factors associated with phenotypic heterogeneous resistance to carbapenems in Acinetobacter baumannii.

Authors:  Felipe Fernández Cuenca; M del Carmen Gómez Sánchez; Francisco Javier Caballero-Moyano; Jordi Vila; Luis Martínez-Martínez; Germán Bou; Jesús Rodríguez Baño; Alvaro Pascual
Journal:  Int J Antimicrob Agents       Date:  2012-03-23       Impact factor: 5.283

4.  Colistin heteroresistance in Enterobacter cloacae is associated with cross-resistance to the host antimicrobial lysozyme.

Authors:  Brooke A Napier; Victor Band; Eileen M Burd; David S Weiss
Journal:  Antimicrob Agents Chemother       Date:  2014-06-30       Impact factor: 5.191

5.  Genetic heterogeneity and cancer drug resistance.

Authors:  Nicholas C Turner; Jorge S Reis-Filho
Journal:  Lancet Oncol       Date:  2012-03-30       Impact factor: 41.316

6.  Heteroresistance to Itraconazole Alters the Morphology and Increases the Virulence of Cryptococcus gattii.

Authors:  Gabriella Freitas Ferreira; Julliana Ribeiro Alves Santos; Marliete Carvalho da Costa; Rodrigo Assunção de Holanda; Ângelo Márcio Leite Denadai; Gustavo José Cota de Freitas; Áquila Rodrigues Costa Santos; Priscila Batista Tavares; Tatiane Alves Paixão; Daniel Assis Santos
Journal:  Antimicrob Agents Chemother       Date:  2015-05-26       Impact factor: 5.191

7.  Antibiotic failure mediated by a resistant subpopulation in Enterobacter cloacae.

Authors:  Victor I Band; Emily K Crispell; Brooke A Napier; Carmen M Herrera; Greg K Tharp; Kranthi Vavikolanu; Jan Pohl; Timothy D Read; Steven E Bosinger; M Stephen Trent; Eileen M Burd; David S Weiss
Journal:  Nat Microbiol       Date:  2016-05-09       Impact factor: 17.745

8.  Outcomes of carbapenem-resistant Klebsiella pneumoniae infection and the impact of antimicrobial and adjunctive therapies.

Authors:  Gopi Patel; Shirish Huprikar; Stephanie H Factor; Stephen G Jenkins; David P Calfee
Journal:  Infect Control Hosp Epidemiol       Date:  2008-12       Impact factor: 3.254

9.  Irreproducible and uninterpretable Polymyxin B MICs for Enterobacter cloacae and Enterobacter aerogenes.

Authors:  David Landman; Julius Salamera; John Quale
Journal:  J Clin Microbiol       Date:  2013-10-02       Impact factor: 5.948

Review 10.  Phenotypic Resistance to Antibiotics.

Authors:  Fernando Corona; Jose L Martinez
Journal:  Antibiotics (Basel)       Date:  2013-04-18
View more
  33 in total

1.  Optimization of 4-Substituted Benzenesulfonamide Scaffold To Reverse Acinetobacter baumannii Serum-Adaptive Efflux Associated Antibiotic Tolerance.

Authors:  Michaelle Chojnacki; Xufeng Cao; Mikaeel Young; Rebecca N Fritz; Paul M Dunman; Daniel P Flaherty
Journal:  ChemMedChem       Date:  2020-08-13       Impact factor: 3.466

Review 2.  Evolutionary causes and consequences of bacterial antibiotic persistence.

Authors:  Erik Bakkeren; Médéric Diard; Wolf-Dietrich Hardt
Journal:  Nat Rev Microbiol       Date:  2020-05-27       Impact factor: 60.633

3.  Antibiotic Resistance in Pseudomonas.

Authors:  Pablo Laborda; Sara Hernando-Amado; José Luis Martínez; Fernando Sanz-García
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

Review 4.  In Vitro Studies of Persister Cells.

Authors:  Niilo Kaldalu; Vasili Hauryliuk; Kathryn Jane Turnbull; Agnese La Mensa; Marta Putrinš; Tanel Tenson
Journal:  Microbiol Mol Biol Rev       Date:  2020-11-11       Impact factor: 11.056

5.  Microscopic Approach to Intrinsic Antibiotic Resistance.

Authors:  Pedro D Manrique; S Gnanakaran
Journal:  J Phys Chem B       Date:  2021-03-23       Impact factor: 2.991

6.  Role of the SOS Response in the Generation of Antibiotic Resistance In Vivo.

Authors:  John K Crane; Cassandra L Alvarado; Mark D Sutton
Journal:  Antimicrob Agents Chemother       Date:  2021-06-17       Impact factor: 5.191

7.  Modulating the evolutionary trajectory of tolerance using antibiotics with different metabolic dependencies.

Authors:  Erica J Zheng; Ian W Andrews; Alexandra T Grote; Abigail L Manson; Miguel A Alcantar; Ashlee M Earl; James J Collins
Journal:  Nat Commun       Date:  2022-05-09       Impact factor: 14.919

8.  Reaction Kinetic Models of Antibiotic Heteroresistance.

Authors:  Antal Martinecz; Fabrizio Clarelli; Sören Abel; Pia Abel Zur Wiesch
Journal:  Int J Mol Sci       Date:  2019-08-15       Impact factor: 5.923

9.  Mechanisms of Heteroresistance and Resistance to Imipenem in Pseudomonas aeruginosa.

Authors:  Ye Xu; Xiangkuo Zheng; Weiliang Zeng; Tao Chen; Wenli Liao; Jiao Qian; Jie Lin; Cui Zhou; Xuebin Tian; Jianming Cao; Tieli Zhou
Journal:  Infect Drug Resist       Date:  2020-05-14       Impact factor: 4.003

10.  Enhanced Carbapenem Resistance through Multimerization of Plasmids Carrying Carbapenemase Genes.

Authors:  Ryuichiro Abe; Yukihiro Akeda; Yo Sugawara; Yuki Matsumoto; Daisuke Motooka; Ryuji Kawahara; Norihisa Yamamoto; Kazunori Tomono; Tetsuya Iida; Shigeyuki Hamada
Journal:  mBio       Date:  2021-06-22       Impact factor: 7.867

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.