Abstract
Prior to the SARS-CoV-2 pandemic, antibiotic resistance was listed as the major global health care priority. Some analyses, including the O’Neill report, have predicted that deaths due to drug-resistant bacterial infections may eclipse the total number of cancer deaths by 2050. Although fungal infections remain in the shadow of public awareness, total attributable annual deaths are similar to, or exceeds, global mortalities due to malaria, tuberculosis or HIV. The impact of fungal infections has been exacerbated by the steady rise of antifungal drug resistant strains and species which reflects the widespread use of antifungals for prophylaxis and therapy, and in the case of azole resistance in Aspergillus, has been linked to the widespread agricultural use of antifungals. This review, based on a workshop hosted by the Medical Research Council and the University of Exeter, illuminates the problem of antifungal resistance and suggests how this growing threat might be mitigated.
Subject terms: Antifungal agents, Antimicrobial resistance, Clinical microbiology, Fungi
The impact of fungal infections on human health has been exacerbated by the rise of antifungal drug resistance. In this Review, the authors outline the problem of antifungal resistance and suggest how this growing threat might be mitigated.
Introduction and perspective
The age of antibiotics, spanning only 80 years, is now entering a period of progressive and widespread emergence of drug-resistant organisms that threaten to bring this era to an end1–4. Microbial pathogens, including fungi, tend to have short generation times, plastic genomes, and the ability to adapt to natural environments that contain many potentially toxic compounds, which exert strong selective pressures. The eukaryotic biochemistry of fungi makes them particularly pernicious pathogens because of a more limited number of selective drug targets against which inhibitors can be designed that are non-toxic for human, animal, and plant hosts. Furthermore, no therapeutic vaccines or adjunct immunotherapies are available to support human health care; this necessitates reliance on a limited armoury of antifungal drug classes to treat a rising tide of fungal infections. These challenges are exacerbated by the emergence of drug resistant, tolerant, or insensitive organisms and increasing numbers of susceptible hosts. Resistant strains of fungi have been identified shortly after the introduction of new antifungal drugs and despite new antifungals in the pipeline5, once they are introduced clinically, we should anticipate that resistance will ultimately emerge unless mitigating strategies are deployed. Resistance is the result of genetic mutations and induced protective mechanisms. Rapid plasmid-mediated spread of resistance has not been detected in fungi (as opposed to bacteria). However, antifungal resistance and tolerance can be acquired rapidly, often by the induction of protective stress response pathways, sometimes including the acquisition of aneuploidy or other forms of copy number variation. Thus, the emergence of fungal strains and species with single or multiple drug resistance profiles poses significant challenges in the treatment of medical, veterinary and agricultural hosts6–10.
Of the estimated five million species of fungi, less than 100 species are frequent agents of human disease, and most deaths are due to organisms within the genera Candida, Aspergillus and Cryptococcus3. However, a cadre of new emerging pathogens are rising in clinical importance, and these include some highly drug-resistant species, including Scopulariopsis and Lomentospora11. Antifungal resistance. This can be a consequence of the response to patient antifungal treatment, but many human pathogenic fungi also have an environmental phase where resistance can emerge12. For example, antifungal resistance in Aspergillus fumigatus is clearly associated with environmental selection of resistance as a consequence of exposure to agricultural azoles used in crop protection13. Indeed, estimates suggest that one in 20 culturable isolates of this fungus isolated from the air are tebuconazole resistant14. Some strains of Candida glabrata, Candida krusei, most strains of Scedosporium and the Mucorales, and the recent emergent species Candida auris display reduced susceptibility to commonly used antifungals. The problems of antifungal resistance are compounded by problems of late diagnosis and consequently treatment delays. Very high levels of morbidity and mortality1 are associated with comorbidities, (e.g., haematological malignancies, solid organ transplantation, ICU stays, HIV, SARS-CoV-2, and influenza), rising numbers of susceptible hosts, host immune status, drug accessibility, drug tolerance, treatment with biologics and the formation of fungal biofilms. Life-threatening fungal infections also tend to be prevalent in resource-limited areas of the world with fewer health care options, including access to antifungal diagnostics and drugs. Low- and middle-income countries face additional challenges, including indiscriminate use of antifungal drugs, and limited stewardship15,16. Cumulatively, these factors result in hundreds of millions of serious fungal infections and between 1 and 1.5 million attributed fungal infection-related deaths per year1,2.
This review summarizes the conclusions of a workshop hosted by the Medical Research Council and the University of Exeter in May 2021. The workshop brought together a group of medical mycologists with diverse research interests (Supplementary Table 1) to outline the scale of the threat and the opportunities to mitigate the consequences of antifungal resistance.
Mechanisms of antifungal resistance and tolerance
The number of fungal infections has continued to increase over the past 20 years, due, in part, to improved enumeration and identification of fungal infections by international organizations (e.g., GAFFI and SENTRY). In addition, the rate of antifungal resistance in yeasts continues to rise globally17,18, alongside the increased emergence of non-albicans Candida species18. The recent emergence of multidrug-resistant yeasts19, such as C. auris and C. glabrata is reminiscent of the situation with bacteria. Antifungal resistance in filamentous fungi, notably A. fumigatus20, has been linked to the increased use of antifungal agents, particularly azoles, both in the environment and in the clinic. Over the past 20 years, terbinafine-resistant strains of Trichophyton spp. have emerged in India, and 13% of these isolates are also resistant to azoles21,22.
Sensu-stricto, antifungal drug resistance, like antibacterial drug resistance, is the ability of a fungal isolate to grow well in the presence of drug concentrations that inhibit the growth of most isolates of that species. To formalize and quantify susceptibility for clinical microbiology labs, two major consortia, the Clinical & Laboratory Standards Institute (CLSI) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) have defined breakpoints as the minimal inhibitory concentration (MIC) of a drug, above which an isolate is considered resistant to clinical treatment, as well as epidemiologic cut-off values (ECVs or ECOFFs) that define the upper limit of the wild type susceptible population when breakpoints are unavailable23. Drug-resistant isolates are more likely to fail treatment and to cause breakthrough infections24.
Antifungal drug resistance is usually due to stable and heritable point mutations or insertions/deletions that directly affect the interaction of the drug with its target (Fig. 1)20,25. In addition to antifungal drug resistance, several more subtle drug responses that may have clinical significance have been studied primarily in yeasts. These include tolerance, heteroresistance, biofilm formation, aneuploidy, and persistence (reviewed in ref. 26).
Antifungal drug tolerance, often termed ‘trailing growth’ in clinical studies, appears as partial growth after >24 h in susceptibility assays, because tolerance is due to the slow growth of some cells in the population that eventually grow in inhibitory drug concentrations27. When the growing cells are re-tested, again only some progeny cells grow, implying that tolerance is a physiological or epigenetic phenomenon or that it is transient. Aneuploidy can confer resistance or tolerance as well as cross-tolerance and appears in response to a range of drugs and pathogenic yeast species28–33 and, like copy number variation, is maintained primarily under drug pressure. Among the specific genes that affect tolerance are genes encoding transcription factors Czf1 (ref. 34) and Gzf3 (ref. 35), an iron acquisition factor Iro1 (ref. 36) and sphingolipid biosynthesis37. Tolerance involves a broad range of stress response pathways, such as the cell wall and membrane integrity pathways (Hsp90, calcineurin, PKC), the TOR pathway that responds to and regulates protein translation, as well as pathways that bypass or alleviate the drug stress indirectly, such as membrane lipid biosynthesis and central metabolic pathways, where their contribution to tolerance remains to be understood (Fig. 1).
Heteroresistance to fluconazole, which has been detected in Cryptococcus neoformans38 and C. glabrata39, refers to the presence of a small subpopulation, usually <1% of the total, with intrinsic antifungal resistance, which can be selected for and become the dominant population on treatment. For example, in C. neoformans, a common heteroresistance mechanism is the acquisition of aneuploid chromosomes that carry genes encoding the drug target and/or efflux pump genes38,40, although aneuploidy does not explain all instances of heteroresistance38,40 (Fig. 1).
Biofilms are a physiological adaptation to surface attachment that enables survival in the face of antifungal drugs, via multiple mechanisms, including sequestration of the drug in the extracellular matrix material that is secreted in extracellular vesicles28,41. The physiological changes that accompany biofilm formation are transient, being lost when cells exit the biofilm state and grow as yeast. Biofilms are influenced by genetic background29 and can exhibit increased drug resistance and drug tolerance, although the degree of overlap between these processes remains to be explored. Finally, persistence is a concept seen in bacteria treated with bactericidal drugs, where rare (>0.1% of the population for most commonly used antibiotics42), metabolically quiescent cells survive by not metabolizing the cidal drug. Antifungal persistence was associated with biofilms in one study, but it has been more difficult to detect (reviewed in ref. 43) and its relevance remains controversial44.
Genetic background plays a major role in antifungal tolerance, with the degree of tolerance much higher in some clinical isolates than others, such as fluconazole tolerance in Candida albicans35,36. In addition, tolerance is more evident with fungistatic drugs like azoles, yet is seen with fungicidal drugs such as echinocandins in some species. It appears that C. auris (Box 1) is highly resistant to azoles and also exhibits high levels of azole tolerance45–47. In C. glabrata, mitochondria play a role in the appearance of tolerance to echinocandins48.
Tolerance or trailing growth is not quantified in diagnostic assays. However, tolerance can be measured via minor modifications of current susceptibility assays35,36,49. Several small-scale studies suggested that higher tolerance of invasive C. albicans strains contribute to treatment failures and increased patient mortality36,50,51. Larger clinical studies are needed to determine the degree to which tolerance plays a role in treatment failures. In addition, understanding how the complex circuitry that allows cells (or only some cells) to grow under stress conditions is an important challenge currently being explored with a range of approaches.
One major approach to studying the acquisition of resistance and tolerance is experimental evolution in the presence of inhibitory or sub-inhibitory drug concentrations. Inhibitory drug concentrations select for the rare resistant isolates, while sub-inhibitory concentrations often enable the appearance of tolerant cells52. The effects of variables such as the genetic background of the starting isolate and/or differences in culture conditions (in vitro and in animal models) can be evaluated by their effect on the rate of resistance mutation appearance. The evolved progeny can be analyzed using selective screens that either sequence only specific genes known to be involved in resistance (e.g., direct targets of azoles (ERG11/CYP51A) or echinocandins (FKS1/FKS2), or that use genome-wide sequencing to identify potential new resistance and tolerance mechanisms by comparing them to the progenitor strain sequence53–55). Mutations that affect levels of drug transporters, can also be found in highly resistant isolates55 and mutations in genes that affect stress response pathways are expected in tolerant isolates.
A second complementary approach is either to collect time series of isolates from single patients during a course of antifungal therapy, or to collect single isolates from large sets of patients47,56. Time series can be analyzed similarly to experimental evolution experiments and identified mutations can be correlated with clinical data, including changes in the application of antifungal therapies. Evaluating isolates for mutations known to confer drug resistance can establish the prevalence of specific mutations, however unstable changes such as aneuploidy, heteroresistance and physiological adaptations such as cell wall compensation changes can be missed unless drug selection is maintained40,57. Examining how these mutations have spread through the population by mapping them to a phylogeny of the isolates, can determine the level of stratification and number of independent resistance emergence of events47.
Another caution in all such studies is that when only a single isolate from a sample is examined it is likely that only the most frequent genotype will be identified. A more comprehensive view comes from analysis of many isolates from the same patient sample and repeated sampling over time58,59. This can reveal the variation within a host and the frequency with which mutations are maintained or lost, such as when the drug treatment is altered. Because the frequency of cells that carry a mutation conferring drug resistance may change over time, such studies can evaluate the degree of variation between the isolates collected from a single patient sample.
Genome-wide sequencing of large sample sizes allows the evaluation of mutation frequencies that correlate with resistance. Examining the sequence of genes linked to resistance in clinical isolates that exhibit resistance requires an understanding of how the mutation may affect cellular properties linked to drug sensitivity. Identifying variants systematically associated with resistance or tolerance, such as by genome-wide association studies, has the potential to identify new mechanisms of resistance. Genome sequencing can also detect correlations across studies, between the types of genome changes that arise in vitro versus those that arise in clinical samples55, which can strengthen confidence in the clinical relevance of those gene alleles, copy number variations, or aneuploidies.
Evaluating the genes essential for growth in the presence of drugs can identify new mechanisms important for resistance. Several screens have identified mutants that cannot grow in the presence of an antifungal drug—these include screens of large-scale gene deletions60, conditionally repressed strains61 and in vivo transposon libraries62. Recent studies have sought to infer gene essentiality comprehensively, under any condition or in the presence of drug, by combining data from in vivo screening, genetic interactions, and gene expression using machine learning62 or neural network algorithms61. Carrying out such experiments with large-scale mutant collections can provide a comprehensive catalogue of resistance mutations and an estimate of the rate at which resistance arises.
Once candidate mutations are identified, either via evolution in vitro, in animal models, or in clinical isolates, reverse genetic functional tests can introduce the specific change into a sensitive isolate and/or correct the change in the resistant isolate, and then analyze the relevant drug responses55. For copy number and aneuploid mutants, deleting or overexpressing those genes hypothesized to be causative can support or refute the hypothesis.
Multi-disciplinary approaches are needed to underpin development of clinical strategies to mitigate antifungal resistance. These include using experimental evolution in vitro and in more clinically relevant infection models to study ex vivo micro-evolution in serial clinical isolates from relevant infection sites. These studies would be further enhanced by incorporating other factors contributing to clinical failure such as drug exposure and treatment response biomarkers.
Box 1 The urgent threat of Candida auris drug resistance.
Candida auris represents a major threat to global health as resistance to multiple classes of antifungal drugs is common. The pathogen has a unique ability to colonize human skin and mucosa and persist on surfaces in hospital and nursing home environments, including hands of healthcare workers, bed rails, medical equipment, and other surfaces, causing difficult-to-eradicate outbreaks74. Whilst a rare cause of candidaemia in most centres in Europe and the USA, a much higher prevalence has been reported from other parts of the world. For example, C. auris was reported as the leading cause of candidaemia (40%) at a North Indian tertiary hospital ICU, and accounted for 14% of all candidaemias reported in South Africa in 2016-2017, and 38% of all candidaemias at a single centre in Kenya in 2010–2016 (refs. 128, 129). Risk factors for C. auris candidaemia include prolonged hospital and ICU stay, prior antifungal treatment, older age and having a central venous catheter in situ130–132.
Most C. auris isolates are resistant to azoles, roughly half also display lower sensitivity to the polyene amphotericin B76, and 41% of isolates studied are multidrug resistant. Resistance or tolerance to echinocandins, the preferred treatment, can emerge on treatment, and pan-resistance to all three drug classes has been reported. C. auris is genetically diverged from more commonly observed Candida species, and the closest related species in the Candida haemulonii complex also display high rates of resistance. Studies of the genetic basis of resistance have identified high frequency mutations in drug targets (ERG11 and FKS1) as well as in the Tac1B and Mrr1 transcription factors16 that control drug transporter expression that increase resistance to azoles and echinocandins, which vary in type and frequency between the four major genetic clades of C. auris47,48. By contrast, the mechanism of amphotericin resistance is largely unknown, aside from a report linking unusually high resistance levels to a loss of function mutation in the ERG6 protein involved in ergosterol biosynthesis129. C. auris is also highly adaptive to a wide variety of stressors including drug pressure and displays genetic diversity (manifest by a variety of karyotypes) and ability to develop drug tolerance during therapy, which pave the way for development of resistance132,133. New drugs such as those in late-stage clinical development that represent novel targets are needed to thwart this daunting multidrug-resistant pathogen.
Clinical consequences of antifungal resistance
Aspergillus, Cryptococcus and Candida spp. are the dominant human fungal pathogens globally, causing invasive infections of the lung, brain, and bloodstream, respectively. Repeated use of antifungals in at-risk groups, empiric, or targeted therapy of mucosal or invasive fungal infections, as well as the widespread use of azoles in agriculture, have altered the landscape of fungal species displaying resistance to one or more classes of antifungals. Most concerning is the triazole-resistant mould A. fumigatus and multidrug-resistant yeast species such as C. glabrata and C. auris63. Antifungal resistance threatens the limited antifungal armamentarium and affects clinical outcomes by delaying mycological clearance, and increasing breakthrough infections, relapse, and excess mortality. Intrinsic or acquired antifungal resistance are factors contributing to clinical failure in human infection (Fig. 2). Resistance is also potentiated by a number of factors such as: host immunosuppression (resulting in persistence or delayed clearance of infection); suboptimal antifungal pharmacokinetics (due to low oral bioavailability, lack of therapeutic drug monitoring, poor long-term treatment adherence together with inadequate antifungal drug dose, duration and/or penetration to the site of infection); and lack of source control with fungal persistence in difficult-to-reach niches such as deep-seated abscesses and device-associated biofilms64–66 (Fig. 2).
Aspergillus spp. triazole resistance has been described in both environmental and clinical isolates from patients with pulmonary aspergillosis. Agricultural fungicides and long-term triazole treatment in individuals with chronic lung disease select for triazole resistance. Resistance prevalence varies by geographic region and patient population, with reported ranges between 1 and 10%, with some ICU cohorts from the Netherlands having >25% resistant isolates67,68. A 2011–2015 Dutch retrospective cohort study on cultured Aspergillus isolates from ICU and non-ICU patients reported a 19% frequency of azole resistance, with higher 6-week mortality for triazole-resistant invasive aspergillosis compared to triazole-susceptible infection treated with the first-line agent voriconazole69. European guidelines advocate using liposomal amphotericin B or voriconazole-echinocandin combination therapy where rates of triazole resistance exceed 10%70: however, routine surveillance is hampered by challenges in obtaining respiratory specimens from vulnerable patient groups and limited access to phenotypic (MIC) or genotypic (Cyp51A) azole susceptibility testing in hospital laboratories. Increasing exposure, diagnostic dilemmas and resultant azole exposure for aspergillosis associated with influenza and COVID-19 infections represent further drivers for resistance emergence71 and call for adequately powered trials on the efficacy of combination therapy against invasive aspergillosis in a broad range of patient populations.
In HIV-associated cryptococcal meningitis, intrinsic heteroresistance to fluconazole in clinical isolates of C. neoformans and Cryptococcus gattii is associated with reduced fungal clearance and relapse due to secondary fluconazole resistance, even when used at the high currently recommended doses of 1200 mg/d72,73. Combination therapy of fluconazole with flucytosine eliminates the emergence of resistant subpopulations, improving fungal clearance compared to fluconazole alone40.
The predominant cause of mucosal and invasive candidiasis, C. albicans, is intrinsically sensitive to antifungals: however, acquired resistance can evolve with prolonged or repeated exposures to antifungals (e.g., recurrent oral, oesophageal, or vulvovaginal candidiasis). Due to factors described in Fig. 2, a robust correlation between fluconazole MIC and clinical success in candidiasis is challenging to establish. A review of 1295 patient-episode-isolate events (692 mucosal and 603 invasive candidiasis) from 12 published clinical studies demonstrated an overall success rate of 85% for those episodes in which the fluconazole MIC was ≤8 μg/ml (sensitive), 67% for with MIC 16 to 32 μg/ml (sensitive, dose-dependent), and 42% for with resistant isolates (MIC ≥ 64 μg/ml)74. C. glabrata is another prominent cause of mucosal and bloodstream infections. This species has intrinsic heteroresistance to azoles and evolves stable resistance to both azoles and echinocandins following drug exposure, generating MDR isolates refractory to conventional therapy75. The SENTRY Antifungal Surveillance Programme reported an increase in worldwide prevalence of fluconazole-resistant C. glabrata from 8.6% to 10.1% from 1997–2014 and echinocandin resistance ranging between 1.7−3.5%; of concern, 5.5–7.6% C. glabrata isolates were resistant to both echinocandins and azoles76. In some tertiary care centres in the US, echinocandin resistance exceeds 13%, with elevated echinocandin MICs and the presence of FKS mutations predicted by prior echinocandin exposure and associated with clinical failure and 30-day mortality77. The gastrointestinal tract is largely considered the main reservoir for selection of drug resistant C. glabrata. These major fungal pathogens are now joined by C. auris as a major AMR concern. This is a newly emerged fungal pathogen classified as an urgent global threat by public health agencies due to its high transmissibility and multidrug resistance to azoles, polyenes, and sometimes echinocandins78–80 (Box 1).
Translational pipeline and strategies to reduce and mitigate antifungal resistance
Stewardship
Historically, antifungal drugs have been used in many patients without fungal infections through prophylactic and empiric treatment strategies. This problem is exacerbated by the poor sensitivity of traditional culture-based diagnostics, and the potentially fatal consequences of treatment delay in vulnerable patient groups, such as those with haematological malignancies64,65. Such broad use has inevitably increased selection for secondary drug resistance, and breakthrough infections by resistant species. For fungi, notably Candida spp. that can be transmitted from patient to patient, population level resistance may also rise and spread81,82. Further development and wider adoption of stewardship programmes is needed to ensure that prescribing follows evidence-based guidelines, and future research may be guided by the identification of biomarkers of drug resistance83,84. A body of literature attests to the fact that stewardship programmes can reduce inappropriate prescribing, and thus reduce selective pressure, without adversely affecting clinical outcomes – although such studies may often be insufficiently powered to detect changes in clinical endpoints compared with changes in drug use or expenditure85,86. Reporting systems and target setting have been used to monitor and promote best prescribing practice for antibacterials and could be adapted for antifungals to improve infection control including improving hospital hygiene, contact precautions based on screening for patients colonised with drug resistant organisms, and interventions to restrict the overuse antimicrobials87.
Improved diagnostics
Fortunately, advances in diagnostics have enabled a shift towards more targeted pre-emptive treatment. PCR and immunoassay-based diagnostics for fungal invasive disease have become the mainstay for most well-resourced clinical diagnostics laboratories, and can deliver on-site results in under 12 h either at point of care or from minimally processed clinical samples88–90, with comparable or improved sensitivity compared with culture91,92. Pan-fungal β-D glucan assays are widely used to screen for fungal infections from clinical specimens, alongside more species-specific diagnostics such as the Aspergillus Platelia assay (Galactomannan; Bio-Rad) and several PCR-based assays. Unfortunately, these assays are often only available in reference or specialist centres, which can extend turnaround times leading to delayed treatment. Greater diagnostic mycology laboratory capacity is needed, as well as near-bedside tests such as the cryptococcal and Aspergillus lateral flow assays93,94.
Few current commercial assays can specifically identify intrinsically resistant species or detect strains that have acquired resistance95. Thus, MIC determination following culture continues to be the gold standard for resistance detection, although this time-consuming diagnosis is usually obtained too late to influence clinical outcome96.
A recently described pyrosequencing-based diagnostic directly screens respiratory samples for mutations associated with azole resistance in CYP51A of A. fumigatus. This assay has the advantage of rapidly detecting resistance even where culturing has not been possible96, allowing a rapid switching of therapy, when a signal is detected. However, because only 50% of azole-resistant clinical isolates have SNPs in CYP51A, the negative predictive value of this test is nominal.
The implementation of next-generation sequencing technologies in fungal diagnostics has the potential to provide further diagnostic granularity and to enable the detection and differentiation of multiple fungal species from a single sample. DNA metabarcoding using genomic targets such as ITS1 (ref. 95) can identify atypical pathogens within 12 h of acquiring a sample. While the cost and technical expertise required for metabarcoding diagnostics is not prohibitive for labs with molecular diagnostic experience, several technical hurdles remain to be overcome. These include identifying short genomic targets with the diagnostic potential to distinguish sub-species of pathogenic fungi, and the availability of DNA databases with suitable diversity accurate curation.
Metagenomic diagnostics, which involve sequencing all DNA from a sample without the need for amplification, is revolutionising resistance detection for tuberculosis97. However, implementing metagenomic diagnostics for invasive fungal diseases is currently limited by the increased cost of sequencing large fungal genomes, low coverage of the fungal genome that may limit precision resistance diagnostic assessments to be made, and by the degree to which we understand the molecular mechanisms that contribute to antifungal resistance.
Further work, and strategic trials are needed to develop and integrate new molecular diagnostics that include detection of resistance into novel management pathways. Such pathways could enable rapid targeted therapy and improved clinical outcomes for patients with fungal infections, as well as the safe discontinuation of antifungal treatment for patients without evidence of fungal infections. In resource-limited settings, laboratory mycology based on low-cost culture-based assays and near-bedside tests is paramount.
New antifungal drugs
Several new antifungals are currently in either pre-clinical or clinical development (Fig. 3). Some new agents are within established drug classes that may offer advantages to currently available agents. These include: (1) rezafungin, an echinocandin with a long half-life that may allow for less frequent intravenous administration; (2) encochleated amphotericin B, which is administered orally; (3) oteseconazole, a tetrazole whose structure may be more specific for fungal lanosterol 14α-demethylase than human cytochrome P450 enzymes, thus leading to fewer drug-drug interactions, and (4) opelconazole, a triazole specifically designed for inhaled delivery98–100.
There are also several therapeutic candidates in development that represent new antifungal classes with novel mechanisms of action. Ibrexafungerp, which received U.S. FDA approval in 2021, is the first member of the triterpenoid class, which, like echinocandins, inhibits the synthesis of 1,3-β-D-glucans, and can be administered orally98–100. Two other candidates that are currently in clinical trials are olorofim and fosmanogepix. Olorofim is the first member of a novel class of antifungals, the orotomides, which target fungal pyrimidine synthesis through inhibition of the enzyme dihydroorotate dehydrogenase, thus limiting the formation of uridine-5'-monophosphate (UMP) a key precursor of DNA and RNA synthesis101. Olorofim is unique in that it has activity against many pathogenic moulds, including those that have reduced susceptibility to other antifungals (e.g., Scedosporium spp., Microascus/Scopulariopsis) or are pan-resistant (e.g., Lomentospora prolificans). However, olorofim lacks activity against yeasts, as well as the Mucorales. Manogepix is the active component of fosmanogepix, a prodrug that is rapidly converted to the active moiety by systemic phosphatases following administration102. Manogepix targets glycosylphosphatidylinositol (GPI)-anchored protein maturation by inhibiting the fungal inositol acyltransferase enzyme GWT1, which is responsible for trafficking and anchoring mannoproteins to the fungal cell membrane and cell wall103. Manogepix has broad-spectrum activity against yeasts and moulds, including strains with acquired resistance to different antifungals, including azole-resistant A. fumigatus, Fusarium sp., Scedosporium sp., Lomentospora sp., C. glabrata and C. auris102,104. Thus, both olorofim and manogepix may offer hope against resistant pathogens. Nonetheless, it must be noted that resistance has been observed in vitro with exposure to each of these therapeutic candidates105–107.
Combination therapy
The extension of our antifungal armamentarium could open the door to combination therapy strategies analogous to those that have proven so successful in the treatment of a wide variety of bacterial, viral, and parasitic infections. The clearest rationale is to suppress the development of resistance to a single agent, especially when the genetic barrier to resistance is low, the infectious organism load high, and treatment duration long. In addition, combinations may act additively or synergistically to increase microbial killing, potentially allowing dose reductions of one or other agent if toxicity is dose-limiting. In cryptococcal meningitis, the addition of flucytosine to fluconazole has been demonstrated to prevent the selection of hetero-resistant colonies that otherwise leads to treatment failure40, and combinations of flucytosine with fluconazole and with amphotericin B accelerate the rate of clearance of infection and reduce mortality108–111 This is an additional benefit to the original rationale for the use of this combination being therapy which was to decrease toxicity by lowering the drug dosage108.
Further work is needed to efficiently test combinations of existing, repurposed, and new agents against other systemic and chronic fungal infections, including candidemia, invasive aspergillosis and chronic pulmonary aspergillosis, given increasing resistance to and high attributable mortalities despite currently recommended monotherapies. Studies may be clinical and post-licensing as with cryptococcal combinations, where phase-II early fungicidal activity studies were crucial to efficiently select combinations for phase III trials108,110,111. Alternatively, studies may be initiated earlier in new drug development, based on careful PK-PD studies in animal models, and driven by industry or academia. Care should be taken that combinations are not used without good evidence of efficacy - especially given that some combinations maybe antagonistic, at least in vitro112. Within industry, the priority must be to obtain licensure, usually with use in monotherapy, although in tuberculosis and HIV there is strong precedent for the licensing of treatments in combination113, which provides a possible additional pathway for new drugs including any selected from the start for synergies with current agents. Development of penicillin/penicillinase inhibitor combinations for bacterial infections provides a specific example of such an approach that has proved to be of enduring value in the clinic114.
International collaboration across multiple sites, co-funding mechanisms, and, where possible, simplification of trial procedures and data collection, could facilitate adequately powered combination studies. The importance of this point can be exemplified by the results of a previous clinical trial of an azole-echinocandin combination for invasive aspergillosis: the trial was underpowered (70% power to detect a 60% reduction in mortality), so that although mortality was 30% lower with the combination, the benefit did not reach the conventional level of statistical significance115.
Policy, communications, and advocacy
Similar to other drug-resistant diseases, the scope of potential policy work for antifungal resistance is large. There are many diverse systems that impact the development and proliferation of antifungal-resistant pathogens, including agriculture, health care, surveillance, diagnostic testing, and drug development. Each of these systems, including those discussed earlier, affect resistant fungi in unique ways, as outlined in Table 1.
Table 1.
System | Broad policy goals |
---|---|
Agriculture | Prevention of resistance developed through commercial fungicide use, especially azole-resistant Aspergillus fumigatus |
Health care |
Prevention of resistance developed through inappropriate prescription and use of antifungals, especially azoles Continue development of appropriate treatment plans to reduce the burden of disease Reduce transmission of resistant fungi, particularly Candida auris, in the health care setting |
Surveillance | Improve understanding of disease epidemiology |
Diagnostic testing | Increase knowledge of disease epidemiology and inform prescribing patterns, with earlier tailoring of therapy. An example is the use of cryptococcal antigen lateral flow assays (CrAg LFA)123,124 to estimate disease burden and facilitate early treatment in Sub-Saharan Africa. |
Drug development | Ensure the continued availability of effective antifungals for all pathogenic fungi to reduce the burden of disease. An example is WHO guideline and Unitaid access support of the use of flucytosine and liposomal amphotericin B for the treatment of Cryptococcosis in Africa126,127 |
This diversity presents both challenges and advantages to policy development and communication. Developing clear and convincing evidence-supported messages to encourage action in each of these systems requires significant time, effort, and relationship-building. However, this also represents a great opportunity for action. There are numerous pathways by which effective policy can make an impact, even if there is not universal concurrence; the development of new drugs will reduce the burden of disease, even if surveillance efforts remain underfunded. As a result, effective communications employ strategies that appeal to disparate groups and capitalize on existing communication and policy channels targeted toward these groups. For example, the US Environmental Protection Agency recently added a list of cleaning products effective against C. auris, adding to existing lists of cleaning products designed to reduce healthcare-acquired infections116.
Fungal disease is not typically considered a top priority when considering funding, research, and health policy—indeed typically only 3% of infectious disease research budgets support medical mycology3. This may change as more data are collected demonstrating the burden of these diseases. However, encouraging the inclusion of fungi in high-profile issues may be critical to spreading awareness. For example, antibiotic resistance is an issue of concern, and many policymakers may be more likely to consider the issue of antifungal resistance when the issues are packaged together, as in the US Centers for Disease Control and Prevention’s (CDC) ‘Antibiotic Resistance Threats in the United States’ report117.
For example, the US CDC included C. auris as an “urgent threat” and Aspergillus fumigatus on the “watch list” of antibiotic-resistant threats. This led to these pathogens inclusion in policy groups, such as the Presidential Advisory Council for Combating Antibiotic-Resistant Bacteria (despite being fungal pathogens). In turn, both pathogens were included in the Antibiotic-Resistant Lab Network and received dedicated funding because of their classification. While these pathogens might not have garnered the same interest when communicated separately, they earned more awareness and resources because they were presented with other serious threats. Similar examples globally can be seen in the inclusion of fungal disease in initiatives such as the WHO’s Global Antimicrobial Resistance Surveillance System (GLASS)118.
Unlike other pathogens for which the resistance pathways, risk factors, epidemiology, diagnostic practices, and treatment are well-defined and well-known, fungal pathogens pose unique challenges to communicators and advocates. Recently the WHO has extended an invitation to participate in a survey to create a priority list of fungal pathogens119. Policymakers may understandably feel some hesitancy in implementing policies given this uncertainty. When communicating policy concerns and recommendations, acknowledging what remains unknown and focusing effort where there is convincing evidence that policy changes will improve health is critical. This is especially true where there are potentially significant costs associated with a policy, such as changes in the commercial use of azole fungicides, which is increasingly implicated in the development of resistant Aspergillus120,121.
Data do not tell the whole story, however, and patient or patient advocacy groups can help target audiences humanize the impact of fungal diseases. While data are useful to understand the burden across populations and create policies to reduce that burden, the true impact of these diseases can be lost in the numbers and among competing priorities. Patient stories can help engage policymakers, the public, and researchers alike. These stories are also able to be used in many formats, as verbal testimony, written letter, or even on social media122.
As progress is being made within countries, we cannot forget the importance of international collaboration. Many countries do not have dedicated public health staff to address fungal disease, but nearly every country is, or will soon be, impacted in some way by antifungal-resistant pathogens as spread continues. Drug-resistant fungal infections are becoming more common across Europe123. C. auris has rapidly spread throughout the globe, including in many low- and middle-income countries without existing resources to combat these threats. Moreover, many cases emerging in previously naïve countries are linked to travel, including the sentinel case in the western US124.
Despite the caveats inherent to health communication of any variety, it is crucial to remember that prevention works. Prevention is the most cost-effective solution we have to combat resistant fungal infections, and policy and communications are key tools to improve prevention activities. Given limited funding opportunities, public health efforts supported by science are going to be a beneficial investment; it is just a matter of teaching others that they will be as well.
Conclusions
The impact of fungal disease, potentiated by drug resistant infections, has become an urgent health priority, but innovation and progress have been limited by capacity in both discovery and translational research sectors. Without enhanced visibility of mycology to all stakeholders, including funders, researchers, industry, patients, and the public, it will be difficult to incentivize the development of capacity in this area and to catalyse interdisciplinary working to encourage step changes in therapeutic and diagnostic opportunities for the treatment of fungal infections. Dispersed specialist communities can achieve greater impact and effective advocacy through global coordination and integration of their work with allied fields of public health and infection biology to make inroads into public and private sector investment.
It is clear that the value of development of new broad-spectrum therapeutic options that are already in the pipeline would be augmented by improved diagnostics and greater understanding of the conditions and mechanisms that promote resistance and tolerance.
This position paper outlines significant progress in these respects, yet the global burden of serious fungal infection remains high, and trends continue upwards. Investment now is needed to reverse these trends and to adopt an integrated One Health approach encompassing environmental, clinical, agricultural, and social perspectives that is reviewed by GAFFI125. Without this investment it is possible or probable that drug resistant fungal infections will increasingly compromise successful treatment of mycotic disease.
Supplementary information
Acknowledgements
N.A.R.G. acknowledges support of Wellcome Senior Investigator (101873/Z/13/Z), and Wellcome Collaborative awards (200208/A/15/Z, 215599/Z/19/Z) and the MRC Centre for Medical Mycology [MR/N006364/2]. J.B. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 951475, ERC SYN FungalTolerance). D.S.P. is supported by NIH grant AI109025. T.B. is the recipient of the Emerging leaders award in Antimicrobial resistance from the Medical research foundation (MRF-160-0009-ELP-BICA-C0802). N.W. has received funding (to UT Health San Antonio) from Astellas, bioMerieux, F2G, Maxwell Biosciences, Sfunga, and the U.S. NIAID/NIH. M.B. receives Wellcome Trust support from collaborative and biomedical resource grants (219551/Z/19/Z, 208396/Z/17/Z), the NIHR Manchester Biomedical Research Centre and F2G. C.A.C. is a fellow in the CIFAR Fungal Kingdom program.
Author contributions
All authors contributed equally to the writing and revision of the manuscript. The order of authors reflects the order of the contributions in the review. A consortium of authors contributed to the Exeter-MRC workshop on fungal AMR on May 4th 2021 that provided analysis for this review. Attendees of the workshop are acknowledged in Supplementary Table 1.
Peer review
Peer review information
Nature Communications thanks Florent Morio and the other, anonymous, reviewers for their contribution to the peer review of this work.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Neil A. R. Gow, Email: N.Gow@exeter.ac.uk
Carolyn Johnson, Email: Carolyn.Johnson@mrc.ukri.org.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-022-32249-5.
References
- 1.Woolhouse M, Farrar J. Policy: an intergovernmental panel on antimicrobial resistance. Nature. 2014;509:555–557. doi: 10.1038/509555a. [DOI] [PubMed] [Google Scholar]
- 2.O’Neill, J. Tackling Drug-Resistant Infections Globally: Final Report and Recommendations. https://amr-review.org/sites/default/files/160518_Final%20paper_with%20cover.pdf (2022).
- 3.Brown, G. D. et al. Hidden Killers: Human fungal infections. Sci. Transl. Med.10.1126/scitranslmed.3004404 (2012). [DOI] [PubMed]
- 4.Bongomin F, Gago S, Oladele RO, Denning DW. Global and multi-national prevalence of fungal diseases-estimate precision. J. Fungi (Basel) 2017;3:57. doi: 10.3390/jof3040057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Denning DW, Bromley MJ. How to bolster the antifungal pipeline. Science. 2015;347:1414–1416. doi: 10.1126/science.aaa6097. [DOI] [PubMed] [Google Scholar]
- 6.Fairlamb, A. H., Gow, N. A., Matthews, K. R., Waters, A. P. Drug resistance in eukaryotic microorganisms. Nat. Microbiol. 10.1038/nmicrobiol.2016.92 (2016). [DOI] [PMC free article] [PubMed]
- 7.Fisher MC, Hawkins NJ, Sanglard D, Gurr SJ. Worldwide emergence of resistance to antifungal drugs challenges human health and food security. Science. 2018;360:739–742. doi: 10.1126/science.aap7999. [DOI] [PubMed] [Google Scholar]
- 8.CDC. Antibiotic Resistance Threats in the United States, 2019. www.cdc.gov/DrugResistance/Biggest-Threats.html (2019).
- 9.JPIAMR. JPIAMR Strategic Research and Innovation Agenda on Antimicrobial Resistance.https://www.jpiamr.eu/wp-content/uploads/2021/04/JPIAMR_SRIA_2021.pdf (2022).
- 10.Fisher MC, et al. Tackling the emerging threat of antifungal resistance to human health. Nat. Rev. Microbiol. 2022 doi: 10.1038/s41579-022-00720-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wiederhold N. Review of the novel investigational antifungal olorofim. J. Fungi. 2020;6:122. doi: 10.3390/jof6030122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Burks C., Darby A., Go´mez Londoño L., Momany M. & Brewer M. T. Azole-resistant Aspergillus fumigatus in the environment: Identifying key reservoirs and hotspots of antifungal resistance. PLoS Pathog. 10.1371/journal.ppat.1009711 (2021). [DOI] [PMC free article] [PubMed]
- 13.Castelo-Branco D, et al. Collateral consequences of agricultural fungicides on pathogenic yeasts: a one health perspective to tackle azole resistance. Mycoses. 2022;65:303–311. doi: 10.1111/myc.13404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Shelton, J. M. G. et al. Citizen science surveillance of triazole-resistant Aspergillus fumigatus in United Kingdom residential garden soils. Appl. Environ. Microbiol. 10.1128/AEM.02061-21 (2022). [DOI] [PMC free article] [PubMed]
- 15.Stott K. E. et al. Cryptococcal meningoencephalitis: time for action. Lancet Infect. Dis. 10.1016/S1473-3099(20)30771-4 (2021). [DOI] [PubMed]
- 16.van Schalkwyk E. et al. Epidemiologic shift in candidemia driven by Candida auris, South Africa, 2016–2017 Emerg. Infect. Dis. 10.3201/eid2509.190040 (2019). [DOI] [PMC free article] [PubMed]
- 17.Pfaller M, et al. Antifungal susceptibilities of Candida, Cryptococcus neoformans and Aspergillus fumigatus from the Asia and Western Pacific region: data from the SENTRY antifungal surveillance program (2010–2012) J. Antibiot. 2015;68:556–561. doi: 10.1038/ja.2015.29. [DOI] [PubMed] [Google Scholar]
- 18.Lamoth F, Lockhart SR, Berkow EL, Calandra T. Changes in the epidemiological landscape of invasive candidiasis. J. Antimicrob. Chemother. 2018;73:i4–i13. doi: 10.1093/jac/dkx444. [DOI] [PubMed] [Google Scholar]
- 19.Arendrup MC, Patterson TF. Multidrug-resistant Candida: epidemiology, molecular mechanisms, and treatment. J. Infect. Dis. 2017;216:S445–S451. doi: 10.1093/infdis/jix131. [DOI] [PubMed] [Google Scholar]
- 20.Berger S, El Chazli Y, Babu AF, Coste AT. Azole resistance in Aspergillus fumigatus: a consequence of antifungal use in agriculture? Front. Microbiol. 2017;8:1024. doi: 10.3389/fmicb.2017.01024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sacheli R, Hayette M-P. Antifungal resistance in dermatophytes: genetic considerations, clinical presentations and alternative therapies. J. Fungi. 2021;7:983. doi: 10.3390/jof7110983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ebert A, et al. Alarming India-wide phenomenon of antifungal resistance in dermatophytes: a multicentre study. Mycoses. 2020;63:717–728. doi: 10.1111/myc.13091. [DOI] [PubMed] [Google Scholar]
- 23.Espinel-Ingroff A, Turnidge J. The role of epidemiological cutoff values (ECVs/ECOFFs) in antifungal susceptibility testing and interpretation for uncommon yeasts and moulds. Rev. Iberoam. Micol. 2016;33:63–75. doi: 10.1016/j.riam.2016.04.001. [DOI] [PubMed] [Google Scholar]
- 24.Cornely OA, et al. Defining breakthrough invasive fungal infection-position paper of the mycoses study group education and research consortium and the European Confederation of Medical Mycology. Mycoses. 2019;62:716–729. doi: 10.1111/myc.12960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lee Y, Puumala E, Robbins N, Cowen LE. Antifungal drug resistance: molecular mechanisms in Candida albicans and beyond. Chem. Rev. 2021;121:3390–3411. doi: 10.1021/acs.chemrev.0c00199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Berman J, Krysan DJ. Drug resistance and tolerance in fungi. Nat. Rev. Microbiol. 2020;18:319–331. doi: 10.1038/s41579-019-0322-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Delarze E, Sanglard D. Defining the frontiers between antifungal resistance, tolerance and the concept of persistence. Drug Resist. Updat. Rev. 2015;23:12–19. doi: 10.1016/j.drup.2015.10.001. [DOI] [PubMed] [Google Scholar]
- 28.Zarnowski R, et al. Coordination of fungal biofilm development by extracellular vesicle cargo. Nat. Commun. 2021;12:6235. doi: 10.1038/s41467-021-26525-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Huang, M. Y., Woolford, C. A., May, G., McManus, C. J. & Mitchell, A. P. Circuit diversification in a biofilm regulatory network. PLoS Pathog. 10.1371/journal.ppat.1007787 (2019). [DOI] [PMC free article] [PubMed]
- 30.Maisonneuve E, Gerdes K. Molecular mechanisms underlying bacterial persisters. Cell. 2014;157:539–548. doi: 10.1016/j.cell.2014.02.050. [DOI] [PubMed] [Google Scholar]
- 31.Selmecki A, Forche A, Berman J. Aneuploidy and isochromosome formation in drug-resistant Candida albicans. Science. 2006;313:367–370. doi: 10.1126/science.1128242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Yang F, et al. Aneuploidy enables cross-adaptation to unrelated drugs. Mol. Biol. Evol. 2019;36:1768–1782. doi: 10.1093/molbev/msz104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Yang, F. et al. Aneuploidy underlies tolerance and cross-tolerance to drugs in Candida parapsilosis. Microbiol. Spectr. 10.1128/Spectrum.00508-21 (2021). [DOI] [PMC free article] [PubMed]
- 34.Hayes BME, Anderson MA, Traven A, van der Weerden NL, Bleackley MR. Activation of stress signalling pathways enhances tolerance of fungi to chemical fungicides and antifungal proteins. Cell. Mol. Life Sci. 2014;71:2651–2666. doi: 10.1007/s00018-014-1573-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Delarze, E. et al. Identification and characterization of mediators of fluconazole tolerance in Candida albicans. Front. Microbiol. 10.3389/fmicb.2020.591140 (2020). [DOI] [PMC free article] [PubMed]
- 36.Rosenberg A, et al. Antifungal tolerance is a subpopulation effect distinct from resistance and is associated with persistent candidemia. Nat. Commun. 2018;9:2470. doi: 10.1038/s41467-018-04926-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gao J, et al. Candida albicans gains azole resistance by altering sphingolipid composition. Nat. Commun. 2018;9:4495. doi: 10.1038/s41467-018-06944-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sionov E, Chang YC, Garraffo HM, Kwon-Chung KJ. Heteroresistance to fluconazole in Cryptococcus neoformans is intrinsic and associated with virulence. Antimicrob. Agents Chemother. 2009;53:2804–2815. doi: 10.1128/AAC.00295-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ben-Ami, R. et al. Heteroresistance to fluconazole is a continuously distributed phenotype among Candida glabrata clinical strains associated with in vivo persistence. mBio10.1128/mBio.00655-16 (2016). [DOI] [PMC free article] [PubMed]
- 40.Stone NRH, et al. Dynamic ploidy changes drive fluconazole resistance in human cryptococcal meningitis. J. Clin. Invest. 2019;129:999–1014. doi: 10.1172/JCI124516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zarnowski, R. et al. Candida albicans biofilm–induced vesicles confer drug resistance through matrix biogenesis. PLoS Biol. 10.1371/journal.pbio.2006872 (2018). [DOI] [PMC free article] [PubMed]
- 42.Salcedo-Sora JE, Kell DB. A quantitative survey of bacterial persistence in the presence of antibiotics: towards antipersister antimicrobial discovery. Antibiotics. 2020;9:508. doi: 10.3390/antibiotics9080508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wuyts, J., Van Dijck, P. & Holtappels, M. Fungal persister cells: the basis for recalcitrant infections? PLoS Pathog. 10.1371/journal.ppat.1007301 (2018). [DOI] [PMC free article] [PubMed]
- 44.Denega, I., d’Enfert, C. & Bachellier-Bassi, S. Candida albicans biofilms are generally devoid of persister cells. Antimicrob. Agents Chemother. 10.1128/AAC.01979-18 (2019). [DOI] [PMC free article] [PubMed]
- 45.Kim, S. H. et al. Genetic analysis of Candida auris implicates Hsp90 in morphogenesis and azole tolerance and Cdr1 in azole resistance. mBio10.1128/mBio.02529-18 (2019). [DOI] [PMC free article] [PubMed]
- 46.Bhattacharya, S., Holowka, T., Orner, E. P. & Fries, B. C. Gene duplication associated with increased fluconazole tolerance in Candida auris cells of advanced generational age. Sci. Rep. 10.1038/s41598-019-41513-6 (2019). [DOI] [PMC free article] [PubMed]
- 47.Chow, N. A. et al. Tracing the evolutionary history and global expansion of Candida auris using population genomic analyses. mBio10.1128/mBio.03364-19 (2020). [DOI] [PMC free article] [PubMed]
- 48.Garcia-Rubio, R. et al. Multifactorial role of mitochondria in echinocandin tolerance revealed by transcriptome analysis of drug-tolerant cells. mBio10.1128/mBio.01959-21 (2021). [DOI] [PMC free article] [PubMed]
- 49.Gerstein AC, Rosenberg A, Hecht I, Berman J. diskImageR: quantification of resistance and tolerance to antimicrobial drugs using disk diffusion assays. Microbiol. 2016;162:1059–1068. doi: 10.1099/mic.0.000295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Astvad, K. M. T., Sanglard, D., Delarze, E., Hare, R. K. & Arendrup, M. C. Implications of the EUCAST trailing phenomenon in candida tropicalis for the in vivo susceptibility in invertebrate and murine models. Antimicrob. Agents Chemother. 10.1128/AAC.01624-18 (2018). [DOI] [PMC free article] [PubMed]
- 51.Levinson T, et al. Impact of tolerance to fluconazole on treatment response in Candida albicans bloodstream infection. Mycoses. 2021;64:78–85. doi: 10.1111/myc.13191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Gerstein, A. C. & Berman, J. Candida albicans genetic background influences mean and heterogeneity of drug responses and genome stability during evolution in fluconazole. mSphere10.1128/mSphere.00480-20 (2020). [DOI] [PMC free article] [PubMed]
- 53.Todd, R. T. & Selmecki, A. Expandable and reversible copy number amplification drives rapid adaptation to antifungal drugs. eLife10.7554/eLife.58349 (2020). [DOI] [PMC free article] [PubMed]
- 54.Yang, F. et al. Tunicamycin potentiates antifungal drug tolerance via aneuploidy in Candida albicans. mBio10.1128/mBio.02272-21 (2021). [DOI] [PMC free article] [PubMed]
- 55.Rybak, J. M. et al. Mutations in TAC1B: a novel genetic determinant of clinical fluconazole resistance in Candida auris. mBio 10.1128/mBio.00365-20 (2020). [DOI] [PMC free article] [PubMed]
- 56.Ford, C. B. et al. The evolution of drug resistance in clinical isolates of Candida albicans. eLife10.7554/eLife.00662 (2015). [DOI] [PMC free article] [PubMed]
- 57.da Silva Dantas, A. et al. Crosstalk between the Calcineurin and cell wall integrity pathways prevents chitin overexpression in Candida albicans. J. Cell Sci. 10.1242/jcs.258889 (2021). [DOI] [PMC free article] [PubMed]
- 58.Summerbell RC, Cooper E, Bunn U, Jamieson F, Gupta AK. Onychomycosis: a critical study of techniques and criteria for confirming the etiologic significance of nondermatophytes. Med Mycol. 2005;43:39–59. doi: 10.1080/13693780410001712043. [DOI] [PubMed] [Google Scholar]
- 59.Jousset AB, et al. Concomitant carriage of KPC-producing and non-KPC-producing Klebsiella pneumoniae ST512 within a single patient. J. Antimicrob. Chemother. 2020;75:2087–2092. doi: 10.1093/jac/dkaa137. [DOI] [PubMed] [Google Scholar]
- 60.Furukawa T, et al. The negative cofactor 2 complex is a key regulator of drug resistance in Aspergillus fumigatus. Nat. Commun. 2020;11:427. doi: 10.1038/s41467-019-14191-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Fu C, et al. Leveraging machine learning essentiality predictions and chemogenomic interactions to identify antifungal targets. Nat. Commun. 2021;12:6497. doi: 10.1038/s41467-021-26850-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Segal, E. S. et al. Gene Essentiality Analyzed by In Vivo Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of Candida albicans. mBio10.1128/mBio.02048-18 (2018). [DOI] [PMC free article] [PubMed]
- 63.Arastehfar, A. et al. Drug-resistant fungi: an emerging challenge threatening our limited antifungal armamentarium. Antibiotics9, 877 (2020). [DOI] [PMC free article] [PubMed]
- 64.Perlin DS, Rautemaa-Richardson R, Alastruey-Izquierdo A. The global problem of antifungal resistance: prevalence, mechanisms, and management. Lancet Infect. Dis. 2017;17:e383–e392. doi: 10.1016/S1473-3099(17)30316-X. [DOI] [PubMed] [Google Scholar]
- 65.Von Eiff M, et al. Pulmonary aspergillosis: early diagnosis improves survival. Respiration. 1995;65:341–347. doi: 10.1159/000196477. [DOI] [PubMed] [Google Scholar]
- 66.Morrell M, Fraser VJ, Kollef MH. Delaying the empiric treatment of Candida bloodstream infection until positive blood culture results are obtained: a potential risk factor for hospital mortality. Antimicrob. Agents Chemother. 2005;49:3640–3645. doi: 10.1128/AAC.49.9.3640-3645.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Lestrade, P. P. A., Meis, J. F., Melchers, W. J. G. & Verweij, P. E. Triazole resistance in Aspergillus fumigatus: recent insights and challenges for patient management. Clin. Microbiol. Infect. 7, 10.1016/j.cmi.2018.11.027 (2019). [DOI] [PubMed]
- 68.Rybak, J. M., Fortwendel, J. R. & Rogers, P. D. Emerging threat of triazole-resistant Aspergillus fumigatus. J. Antimicrob. Chemother. 10.1093/jac/dky517 (2019). [DOI] [PMC free article] [PubMed]
- 69.Lestrade, P. P. A. et al. Voriconazole resistance and mortality in invasive aspergillosis: a multicenter retrospective cohort study. Clin Infect Dis. 10.1093/cid/ciy859 (2019). [DOI] [PubMed]
- 70.Ullmann, A. J. et al. Diagnosis and management of Aspergillus diseases: executive summary of the 2017 ESCMID-ECMM-ERS guideline. Clin Microbiol Infect. 10.1016/j.cmi.2018.01.002 (2018). [DOI] [PubMed]
- 71.Meijer, E. F. J., Dofferhoff, A. S. M., Hoiting, O., Buil, J. B. & Meis, J. F. Azole-resistant COVID-19-associated pulmonary aspergillosis in an immunocompetent host: a case report. J. Fungi. (Basel). 10.3390/jof6020079 (2020). [DOI] [PMC free article] [PubMed]
- 72.Rajasingham R, et al. Global burden of disease of HIV-associated cryptococcal meningitis: an updated analysis. Lancet Infect. Dis. 2017;17:873–881. doi: 10.1016/S1473-3099(17)30243-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Temfack E, et al. Cryptococcal antigen in serum and cerebrospinal fluid for detecting Cryptococcal Meningitis in adults living with human immunodeficiency virus: systematic review and meta-analysis of diagnostic test accuracy studies. Clin. Infect. Dis. 2021;72:1268–1278. doi: 10.1093/cid/ciaa1243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Pfaller, M. A., Diekema, D. J. & Sheehan, D. J. Interpretive breakpoints for fluconazole and Candida revisited: a blueprint for the future of antifungal susceptibility testing. Clin Microbiol Rev. 10.1128/CMR.19.2.435-447.2006 (2006). [DOI] [PMC free article] [PubMed]
- 75.Healey, K. R. & Perlin, D. S. Fungal resistance to echinocandins and the MDR phenomenon in Candida glabrata. J. Fungi. 10.3390/jof4030105 (2018). [DOI] [PMC free article] [PubMed]
- 76.Pfaller, M. A., Diekema, D. J., Turnidge, J. D., Castanheira, M. & Jones R. N. Twenty years of the SENTRY antifungal surveillance program: results for Candida species from 1997–2016. Open Forum. Infect. Dis. 10.1093/ofid/ofy358 (2019). [DOI] [PMC free article] [PubMed]
- 77.Alexander, B. D. et al. Increasing echinocandin resistance in Candida glabrata: clinical failure correlates with presence of FKS mutations and elevated minimum inhibitory concentrations. Clin Infect Dis. 10.1093/cid/cit136 (2013). [DOI] [PMC free article] [PubMed]
- 78.Lockhart, S. R. Candida auris and multidrug resistance: defining the new normal. Fungal. Genet. Biol. 10.1016/j.fgb.2019.103243 (2019). [DOI] [PubMed]
- 79.Lockhart, S. R. et al. Simultaneous emergence of multidrug-resistant Candida auris on 3 continents confirmed by whole-genome sequencing and epidemiological analyses. Clin Infect Dis. 10.1093/cid/ciw691 (2017). [DOI] [PMC free article] [PubMed]
- 80.Eyre, D. W. et al. A Candida auris outbreak and its control in an intensive care setting. N. Engl. J. Med. 10.1056/NEJMoa1714373 (2018). [DOI] [PubMed]
- 81.Ksiezopolska E, Gabaldón T. Evolutionary emergence of drug resistance in Candida opportunistic pathogens. Genes. 2018;9:461. doi: 10.3390/genes9090461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Arastehfar, A. et al. Clonal Candidemia outbreak by Candida parapsilosis Carrying Y132F in Turkey: evolution of a persisting challenge. Front. Cell. Infect. Microbiol. 10.3389/fcimb.2021.676177 (2021). [DOI] [PMC free article] [PubMed]
- 83.Honarvar B, Bagheri Lankarani K, Taghavi M, Vahedi G, Mortaz E. Biomarker-guided antifungal stewardship policies for patients with invasive candidiasis. Curr. Med Mycol. 2018;4:37–44. doi: 10.18502/cmm.4.4.385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.de Cesare GB, Hafez A, Stead D, Llorens C, Munro C. Biomarkers of caspofungin resistance in Candida albicans isolates: a proteomic approach. Virulence. 2020;13:1005–1018. doi: 10.1080/21505594.2022.2081291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Bienvenu AL, et al. A systematic review of interventions and performance measures for antifungal stewardship programmes. J. Antimicrob. Chemother. 2018;73:297–305. doi: 10.1093/jac/dkx388. [DOI] [PubMed] [Google Scholar]
- 86.Hart E., Nguyen M., Allen M., Clark C. M. & Jacobs D. M. A systematic review of the impact of antifungal stewardship interventions in the United States. Ann. Clin. Microbiol. Antimicrob. 10.1186/s12941-019-0323-z (2019). [DOI] [PMC free article] [PubMed]
- 87.Sharland M, et al. Encouraging AWaRe-ness and discouraging inappropriate antibiotic use-the new 2019 Essential Medicines List becomes a global antibiotic stewardship tool. Lancet Infect. Dis. 2019;19:1278–1280. doi: 10.1016/S1473-3099(19)30532-8. [DOI] [PubMed] [Google Scholar]
- 88.Sanguinetti, M. et al. Diagnosis and treatment of invasive fungal infections: looking ahead. J. Antimicrob. Chemother. 10.1093/jac/dkz041 (2019). [DOI] [PubMed]
- 89.Terrero-Salcedo, D. & Powers-Fletcher, M. V. Updates in laboratory diagnostics for invasive fungal infections. J. Clin. Microbiol. 10.1128/JCM.01487-19 (2020). [DOI] [PMC free article] [PubMed]
- 90.Wickes BL, Wiederhold NP. Molecular diagnostics in medical mycology. Nat. Commun. 2018;9:5135. doi: 10.1038/s41467-018-07556-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Monday, L. M., Parraga Acosta, T. & Alangaden, G. T2Candida for the diagnosis and management of invasive Candida infections. J. Fungi. 10.3390/jof7030178. (2021). [DOI] [PMC free article] [PubMed]
- 92.Vergidis P, et al. High-volume culture and quantitative real-time PCR for the detection of Aspergillus in sputum. Clin. Microbiol Infect. 2019;26:935–940. doi: 10.1016/j.cmi.2019.11.019. [DOI] [PubMed] [Google Scholar]
- 93.Boulware DR, et al. Multisite validation of cryptococcal antigen lateral flow assay and quantification by laser thermal contrast. Emerg. Infect. Dis. 2014;20:45–53. doi: 10.3201/eid2001.130906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Heldt S, Hoenigl M. Lateral flow assays for the diagnosis of invasive Aspergillosis: current status. Curr. Fungal Infect. Rep. 2017;11:45–51. doi: 10.1007/s12281-017-0275-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Kidd SE, Chen SC, Meyer W, Halliday CL. A new age in molecular diagnostics for invasive fungal disease: are we ready. Front Microbiol. 2020;10:2903. doi: 10.3389/fmicb.2019.02903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Novak-Frazer L, et al. Deciphering Aspergillus fumigatus cyp51A-mediated triazole resistance by pyrosequencing of respiratory specimens. J. Antimicrob. Chemother. 2020;75:3501–3509. doi: 10.1093/jac/dkaa357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Yu, G., Zhao, W., Shen, Y., Zhu, P. & Zheng, H. Metagenomic next generation sequencing for the diagnosis of tuberculosis meningitis: a systematic review and meta-analysis. PLoS One. 10.1371/journal.pone.0243161 (2020). [DOI] [PMC free article] [PubMed]
- 98.Rauseo, A. M., Coler-Reilly, A., Larson, L. & Spec, A. Hope on the horizon: novel fungal treatments in development. Open Forum. Infect. Dis. 10.1093/ofid/ofaa016 (2020). [DOI] [PMC free article] [PubMed]
- 99.Hoenigl M, et al. The antifungal pipeline: Fosmanogepix, Ibrexafungerp, Olorofim, Opelconazole, and Rezafungin. Drugs. 2021;81:1703–1729. doi: 10.1007/s40265-021-01611-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Van Daele, R. et al. Antifungal drugs: what brings the future? Med Mycol. 10.1093/mmy/myz012 (2019). [DOI] [PubMed]
- 101.Oliver JD, et al. F901318 represents a novel class of antifungal drug that inhibits dihydroorotate dehydrogenase. Proc. Natl Acad. Sci. USA. 2016;113:12809–12814. doi: 10.1073/pnas.1608304113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Shaw, K. J. & Ibrahim, A. S. Fosmanogepix: a review of the first-in-class broad spectrum agent for the treatment of invasive fungal infections. J. Fungi. 10.3390/jof6040239 (2020). [DOI] [PMC free article] [PubMed]
- 103.Watanabe NA, et al. E1210, a new broad-spectrum antifungal, suppresses Candida albicans hyphal growth through inhibition of glycosylphosphatidylinositol biosynthesis. Antimicrob. Agents Chemother. 2012;56:960–971. doi: 10.1128/AAC.00731-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Miyazaki M, et al. In vitro activity of E1210, a novel antifungal, against clinically important yeasts and molds. Antimicrob. Agents Chemother. 2011;55:4652–4658. doi: 10.1128/AAC.00291-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Kapoor, M., Moloney, M., Soltow, Q. A., Pillar, C. M. & Shaw, K. J. Evaluation of Resistance Development to the Gwt1 Inhibitor Manogepix (APX001A) in Candida Species. Antimicrob Agents Chemother. 10.1128/AAC.01387-19 (2019). [DOI] [PMC free article] [PubMed]
- 106.Liston, S. D., Whitesell, L., Kapoor, M., Shaw, K. J. & Cowen, L. E. Enhanced efflux pump expression in Candida mutants results in decreased manogepix susceptibility. Antimicrob Agents Chemother. 10.1128/AAC.00261-20 (2020). [DOI] [PMC free article] [PubMed]
- 107.Buil JB, et al. Resistance profiling of Aspergillus fumigatus to olorofim indicates absence of intrinsic resistance and unveils the molecular mechanisms of acquired olorofim resistance. Emerg. Microbes Infect. 2022;11:703–714. doi: 10.1080/22221751.2022.2034485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Nussbaum JC, et al. Combination flucytosine and high-dose fluconazole compared with fluconazole monotherapy for the treatment of cryptococcal meningitis: a randomized trial in Malawi. Clin. Infect. Dis. 2010;50:338–344. doi: 10.1086/649861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Jackson AT, et al. A phase II randomized controlled trial adding oral flucytosine to high-dose fluconazole, with short-course amphotericin B, for cryptococcal meningitis. AIDS. 2012;26:1363–1370. doi: 10.1097/QAD.0b013e328354b419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Molloy SF, et al. Antifungal combinations for treatment of cryptococcal meningitis in Africa. N. Engl. J. Med. 2018;378:1004–1017. doi: 10.1056/NEJMoa1710922. [DOI] [PubMed] [Google Scholar]
- 111.Jarvis JN, et al. Single-dose liposomal amphotericin B treatment for cryptococcal meningitis. N. Engl. J. Med. 2022;386:1109–1120. doi: 10.1056/NEJMoa2111904. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Van Rhijn, R., Hemmings, S., Valero, C., Amich, J. & Bromley, M. J. Olorofim and the azoles are antagonistic in A. fumigatus and functional genomic screens reveal mechanisms of cross resistance. Preprint at https://www.biorxiv.org/content/10.1101/2021.11.18.469075v1 (2021).
- 113.TB Alliance. FDA Approval of BPaL Regimen an Important Breakthrough in TB Control. https://www.kncvtbc.org/en/2019/08/14/fda-approval-of-bpal-regimen-an-important-breakthrough-in-tb-control/ (2022)
- 114.Tooke CL, et al. β-Lactamases and β-Lactamase Inhibitors in the 21st century. J. Mol. Biol. 2019;431:3472–3500. doi: 10.1016/j.jmb.2019.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Marr KA, et al. Combination antifungal therapy for invasive aspergillosis: a randomized trial. Ann. Intern. Med. 2015;162:81–89. doi: 10.7326/M13-2508. [DOI] [PubMed] [Google Scholar]
- 116.United States Environmental Protection Agency. List P: Antimicrobial Products Registered with EPA for Claims Against Candida Auris.https://www.epa.gov/pesticide-registration/list-p-antimicrobial-products-registered-epa-claims-against-candida-auris#:~:text=List%20P%3A%20Antimicrobial%20Products%20Registered%20with%20EPA%20for,%20%201%20%206%20more%20rows%20 (2022).
- 117.United States Centre for Disease Control. 2019 AR threats Report. https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf (2022).
- 118.World Health Organisation. Global Antimicrobial Resistance use and Surveillance System (GLASS).https://www.who.int/initiatives/glass#:~:text=GLASS-FUNGI%20focuses%20on%20the%20surveillance%20of%20invasive%20fungal,men%20with%20urethral%20discharge%20and%20suspected%20urogenital%20infections (2022).
- 119.World Health Organisation. First WHO Fungal Priority Pathogens List. https://www.who.int/news-room/articles-detail/invitation-to-participate-in-survey-to-establish-the-first-who-fungal-priority-pathogens-list-(fppl) (2022).
- 120.Toda, M., Beer, K. D., Kuivila, K. M., Chiller, T. M. & Jackson, B. R. Trends in agricultural triazole fungicide use in the United States, 1992–2016 and possible implications for antifungal-resistant fungi in human disease. Environ. Health Perspect. 10.1289/EHP7484 (2021). [DOI] [PMC free article] [PubMed]
- 121.Beer KD, et al. Multidrug-resistant Aspergillus fumigatus carrying mutations linked to environmental fungicide exposure—three states, 2010–2017. Morb. Mortal. Wkly Rep. 2018;67:1064–1067. doi: 10.15585/mmwr.mm6738a5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.CDC. Center for Disease Control: Personal Stories of Fungal Disease. https://www.cdc.gov/fungal/personalstories/index.html#Cryptococcus (2022).
- 123.Snelders, E. et al. Emergence of azole resistance in Aspergillus fumigatus and spread of a single resistance mechanism. PLoS Med. 10.1371/journal.pmed.0050219 (2008). [DOI] [PMC free article] [PubMed]
- 124.Woodworth MH, et al. Sentinel case of Candida auris in the Western United states following prolonged occult colonization in a returned traveller from India. Micro. Drug Resist. 2019;25:677–680. doi: 10.1089/mdr.2018.0408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Gaffi. Global Action for Fungal Infections. https://gaffi.org/ (2022).
- 126.Loyse, A. et al. Leave no one behind: response to new evidence and guidelines for the management of cryptococcal meningitis in low-income and middle-income countries. Lancet Infect. Dis.10.1016/S1473-3099(18)30493-6 (2019). [DOI] [PubMed]
- 127.Unitaid. A plan to Slash HIV Deaths.https://unitaid.org/advanced-hiv-disease/#en (2022).
- 128.Shastri, P. S. et al. Candida auris candidaemia in an intensive care unit—prospective observational study to evaluate epidemiology, risk factors, and outcome. J. Crit. Care. 10.1016/j.jcrc.2020.01.004 (2020). [DOI] [PubMed]
- 129.Adam RD, et al. Analysis of Candida auris fungemia at a single facility in Kenya. Int J. Infect. Dis. 2019;85:182–187. doi: 10.1016/j.ijid.2019.06.001. [DOI] [PubMed] [Google Scholar]
- 130.Pandya N, et al. International multicentre study of Candida auris Infections. J. Fungi (Basel) 2021;7:878. doi: 10.3390/jof7100878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Shor, E. & Perlin, D. S. Coping with stress and the emergence of multidrug resistance in fungi. PLoS Pathog. 10.1371/journal.ppat.1004668 (2015). [DOI] [PMC free article] [PubMed]
- 132.Li, J. et al. Novel ERG11 and TAC1b mutations associated with azole resistance in Candida auris. Antimicrob. Agents Chemother. 10.1128/AAC.02663-20 (2021). [DOI] [PMC free article] [PubMed]
- 133.Rybak JM, et al. In vivo emergence of high-level resistance during treatment reveals the first identified mechanism of amphotericin B resistance in Candida auris. Clin. Microbiol Infect. 2021 doi: 10.1016/j.cmi.2021.11.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.