Abstract
Antifungals are used in exotic avian and reptile species for the treatment of fungal diseases. Dose extrapolations across species are common due to lack of species-specific pharmacological data. This may not be ideal because interspecies physiological differences may result in subtherapeutic dosing or toxicity. This critical review aims to collate existing pharmacological data to identify antifungals with the most evidence to support their safe and effective use. In the process, significant trends and gaps are also identified and discussed. An extensive search was conducted on PubMed and JSTOR, and relevant data were critically appraised. Itraconazole or voriconazole showed promising results in Japanese quails, racing pigeons and inland bearded dragons for the treatment of aspergillosis and CANV-related infections. Voriconazole neurotoxicity manifested as seizures in multiple penguins, but as lethargy or torticollis in cottonmouths. Itraconazole toxicity was predominantly hepatotoxicity, observed as liver abnormalities in inland bearded dragons and a Parson’s chameleon. Differences in formulations of itraconazole affected various absorption parameters. Non-linearities in voriconazole due to saturable metabolism and autoinduction showed opposing effects on clearance, especially in multiple-dosing regimens. These differences in pharmacokinetic parameters across species resulted in varying elimination half-lives. Terbinafine has been used in dermatomycoses, especially in reptiles, due to its keratinophilic nature, and no significant adverse events were observed. The use of fluconazole has declined due to resistance or its narrow spectrum of activity.
Keywords:
antifungal; avian; efficacy; exotic species; fungal diseases; pharmacodynamic; pharmacokinetic; reptile; safety 1. Introduction
Exotic animals are typically non-domesticated and non-indigenous to the geographical region they inhabit []. Fungal diseases are widespread and have led to the decline of multifarious exotic animals. Fatal dermatomycoses caused by Nannizziopsis spp. have been reported in captive reptiles, despite treatment with antifungals []. Dermatomycoses such as those caused by the fungal complex Chrysosporium anamorph of Nannizziopsis vriesii (CANV) are emerging infectious diseases in reptiles, with increasing prevalence and spread across geographical regions and, unfortunately, increasing antifungal resistance patterns []. Likewise, the most common fungal disease in avians, aspergillosis, has a high mortality rate []. Other than the avian anatomical and physiological characteristics which predisposes them to aspergillosis, azole resistance, especially in Aspergillus fumigatus, is a rising global concern requiring stricter epidemiological surveillance to reduce treatment failures []. Limited studies were collated for other fungal diseases, such as candidiasis and cryptococcosis, in avians. Candida albicans is the most notorious pathogen for candidiasis, while the pathogenic agents for cryptococcosis are Cryptococcus neoformans and Cryptococcus gattii []. Although some antifungals were studied for candidiasis and cryptococcosis, the sample sizes were not statistically significant for recommendations to be made. With rising mortality and morbidity rates in these exotic animals, there is a need to refine the currently inadequate armamentaria of antifungals used in the treatment of fungal diseases.
Antifungals are often used in the treatment of fungal diseases in exotic animals to eliminate fungal pathogens and resolve clinical symptoms. Different classes of antifungals such as azoles, allylamines, echinocandins, nucleoside analogues and polyenes with different mechanism(s) of actions have been used []. Veterinarians commonly adopt recommendations from formularies such as the Exotic Animal Formulary (EAF) to guide dosing regimens of antifungals. Due to the lack of pharmacological data in some exotic animals, such as those from the crocodylia or phoenicopteriformes order, veterinarians often extrapolate doses from closely-related or sometimes even distantly related species. This may not be ideal due to marked interspecies differences in metabolic rates and physiological features, even within closely-related species, which may affect the pharmacological profile of antifungals and ultimately therapeutic outcomes. When inappropriate dose extrapolations are made, suboptimal treatment outcomes may arise in the form of increased risk of toxicity, subtherapeutic dosing or treatment failure, subsequently contributing to the decline of exotic animals [].
The pharmacology of antifungals is comprised of their pharmacokinetic (PK) and pharmacodynamic (PD) properties. PK is the study of how the body handles a drug, which is largely due to absorption, distribution, metabolism, and excretion processes []. Primary PK parameters such as clearance (CL) and volume of distribution (V) are controlled by physiological factors such as intrinsic metabolic enzymes, blood flow, protein levels and others []. These factors may vary across species, leading to variabilities in drug disposition which ultimately affect the exposure of the animal to the antifungal, which could either be sub-therapeutic or toxic. PD is the study of how drugs interact with the body to produce therapeutic and toxic effects []. Interspecies differences in receptor sub-types or the nature of tissues may thus result in differences in efficacy and safety []. The therapeutic outcomes of fungal diseases are fundamentally governed by this PK–PD interplay, which provides guidance on which antifungal is efficacious and/or safe in treating fungal diseases in exotic animals.
Therefore, this critical review aimed to collate the pharmacological data of antifungals across various exotic animals from existing literature to determine which antifungals have the most pharmacological data to support their effective and safe use and discuss significant trends or gaps in knowledge to provide directions for future studies. Our findings also provide caution in dose extrapolation and updated therapeutic recommendations for optimal antifungal treatment outcomes.
2. Materials and Methods
An extensive search was carried out on Embase, Google Scholar, JSTOR, PubMed and Web of Science databases using keywords such as antifungal, dosing, avian, reptile, pharmacokinetic, pharmacodynamic, efficacy and safety. A comprehensive list of search terms can be found in Appendix A (Table A1). The reference lists from extracted papers were also examined to identify any potentially relevant papers.
The following data were extracted from the collated papers if available: causative fungal pathogen(s) and their related fungal diseases, site(s) of infection, common and scientific name of species, number and health status of species, drug name and dosing, dosing interval and duration, route of administration, mean steady state plasma concentration (Css) or peak plasma drug concentration (Cmax), time taken to reach Cmax (Tmax), area under plasma concentration–time curve from dosing to the last measured time point (AUC0–last) or to infinity (AUC0–∞), Minimum Inhibitory Concentration (MIC), half-life (elimination or terminal), bioavailability, V, CL, reports of efficacy and adverse events. These data were critically appraised with reference to the EAF or other tertiary sources to achieve the aims of this critical review.
3. Key Interspecies Differences between Avians and Reptiles
3.1. Physiological Differences Impacting Susceptibility to Different Fungal Pathogens
Thermoregulation is one of the key differences between reptile and avian species. Reptiles are ectothermic as their body temperature is influenced by ambient temperatures. Poor husbandry with suboptimal temperature may impair their immune functioning, predisposing them to a diverse range of fungal pathogens [,]. In contrast, avians are endothermic and maintain a constant internal body temperature at around 35–40 °C []. This could explain their higher predisposition to aspergillosis, as Aspergillus spp. such as Aspergillus fumigatus thrive in warmer temperatures []. Due to the differing susceptibilities towards fungal pathogens, different antifungals are required to treat fungal diseases in exotic animals.
Reptiles have heavily keratinized epidermis compared to avians, making them more susceptible to formerly known keratinophilic Chrysosporium anamorph of Nannizziopsis vriesii (CANV) complex pathogens [,].
3.2. Physiological Differences in Relation to PK
Primary PK parameters that affect the disposition of antifungals are dependent on numerous physiological variables, which can subsequently affect secondary PK parameters such as Cmax, Tmax or elimination half-life, which collectively influence antifungal dosing regimens [].
The lower body temperatures in reptiles result in slower gastrointestinal motility []. Within reptiles, gut transit time increases with body size and is longer for herbivores than for carnivores []. Gastric pH is also known to vary from domestic birds, such as chickens, to facultative scavengers, such as red-tailed hawks. Consequently, these variabilities can have profound impacts on the absorption profiles of orally administered antifungals [].
Fat compositions vary within avians due to dietary differences or migratory patterns [] and within reptiles due to physiological states of feeding, fasting or vitellogenesis []. This can affect the distribution of antifungals, especially if they have high V, such as terbinafine, which can accumulate in the fatty tissues and slowly redistribute back to the blood, resulting in longer elimination half-lives and less frequent dosing intervals. Plasma protein levels may also vary across avians and reptiles, which also consequently influence V, and thus elimination half-life [,].
Higher metabolic rates in avians [] increase drug metabolism, reflected by an increase in CL, which can decrease elimination half-life. Furthermore, elevations in ambient temperatures may also increase metabolic rates and affect drug metabolism []. The expression levels of CYP450 enzymes and genetic polymorphisms may differ across species, even across closely-related species [], which could potentially cause variability in the disposition of azoles that are predominantly metabolised by CYP450 enzymes [].
Differences in elimination half-lives explicate the need for different dosing regimens in avians and reptiles for optimal therapeutic outcomes. Furthermore, these various physiological differences have an unpredictable effect on PK and, thus, species-specific data would provide the most accurate recommendations for efficacious and safe antifungal dosing regimens.
4. Pharmacology of Antifungals
The major classes of antifungals in veterinary medicine are azoles, allylamines and polyenes, due to their ability to inhibit the formation of or directly interact with ergosterol, which is a critical component of fungal membranes []. The focus of this review will be on azoles and allylamines, which have had more extensive studies. A comprehensive list of the antifungals used can be found in the Supplementary Materials (Tables S1 and S2).
Antifungal susceptibility testing (AST) is used to guide the selection of antifungals by determining MIC values for optimal therapeutic outcomes. MIC is a measure of the minimum drug concentration required to inhibit the growth of the pathogen, which indicates the susceptibilities of fungal pathogens to antifungals []. To predict treatment efficacy and safety, MIC is often correlated with PK parameters such as Cmax or AUC over MIC or T > MIC, depending on the mode of action of the antifungal and whether or not they exhibit a post antifungal effect (PAFE) [], and these are summarised in Table 1.
Table 1.
Predictors of efficacy for different antifungal classes/drugs.
5. Pharmacodynamic Variabilities in Avians and Reptiles
Seventy studies or case reports on the efficacy and/or safety of antifungals in avians were found, with itraconazole (n = 20) and voriconazole (n = 17) being the most commonly used antifungal, especially in Psittaciformes and Sphenisciformes. In reptiles, 30 such reports were found, with itraconazole (n = 13), terbinafine (n = 5) and voriconazole (n = 5) being the most commonly used antifungal, especially in Squamata. An extensive summary of the efficacy and safety data for avians and reptiles is shown in Tables S1 and S2, respectively, in the Supplementary Materials.
5.1. Evaluation of Dosing Regimens in Relation to Efficacy
Clinical resolution of lesions or symptoms are often used to assess the efficacy of antifungals in treating fungal diseases. Objective measures of efficacy include the use of MIC data to determine the susceptibility of fungal pathogens to antifungals, or to maintain therapeutic plasma concentrations above MIC. Determination of MIC of fungal isolates were limited and often relied upon comparisons with reported values in human studies or other related species. AST is recommended, when possible, to attain specific MIC values, especially for causative pathogens with MIC yet to be determined and also to look out for emerging resistance patterns.
5.1.1. Type of Fungal Pathogens/Disease
The type of fungal pathogens is pivotal in the selection of antifungals to optimise treatment efficacy in exotic animals. The evaluation on the use of different antifungals for the more common fungal diseases in avian and reptiles are summarised in Table 2 and Table 3.
Aspergillosis commonly involves the respiratory tract, with Aspergillus fumigatus being the most common causative pathogen. Voriconazole appears to be efficacious in treating Aspergillus fumigatus infections in Japanese quails and racing pigeons (Table 2), and the large sample size provides further credibility. AST conducted on racing pigeons revealed an MIC of 0.25µg/mL for Aspergillus fumigatus, showing susceptibility to voriconazole, which could explain the efficacy observed. However, not all studies performed AST, and many used MIC data from other species to evaluate the efficacy of antifungals []. Additionally, Aspergillus fumigatus can be easily confused with more than 11 other Aspergillus spp. based on their conidial morphology [], including Aspergillus lentulus, which is typically known to be resistant to triazoles and amphotericin B []. Accurate identification of the causative pathogen and its susceptibility to different antifungals is crucial to ensure efficacy in treatment. AST is recommended, especially for severely ill exotic animals, where time is critical and using antifungals that are resistant to the causative fungal isolates may result in poor clinical outcomes.
For Aspergillus flavus infections, itraconazole proved efficacious in turkeys by reducing the lung lesion score (Table 2). In Okinawa rails, however, though MIC revealed susceptibility of Aspergillus flavus to itraconazole, inefficacy was observed, possibly due to low concentrations in the air sacs. Voriconazole might also be efficacious for Aspergillus flavus infections, but this is inconclusive due to the small sample sizes of studies.
CANV infections in reptiles are the rising cause of mortality, especially in bearded dragons (n = 7) [], which also have the most studies/case reports collated (Table 3). Numerous pathogens under the CANV denomination were identified and have been subsequently renamed to include three genera: Nannizziopsis spp., Ophidiomyces spp. and Paranannizziopsis spp. Formerly termed “yellow fungus disease” has been replaced by “nannizziomycosis” and “paranannizziomycosis”; thus, careful interpretation of older literature is warranted []. With the limited reports of antifungal therapy in CANV-related infections, itraconazole did not show efficacy in most reptiles, except the tuataras infected by Paranannizziopsis spp. (Table 3). In a direct comparison study, voriconazole demonstrated better efficacy in clearing CANV infection and had a higher survival rate (Table 3). In another giant girdled lizard, voriconazole used at the same dose cleared CANV infection and AST revealed the lowest MIC (0.25µg/mL) for voriconazole amongst the other antifungals tested []. Hence, voriconazole shows promising potential for the treatment of CANV infections, but further studies should be conducted in other reptile species to ensure the efficacy and safety of the dosing regimens [].
Ophidiomycosis, previously termed “snake fungal disease” appears to only cause disease in snakes, though the reasons are unclear []. Studies on antifungal therapy for ophidiomycosis are scarce, with inconclusive efficacy (Table 3). Unconventional methods with terbinafine using subcutaneous implants and nebulization have been described to be possibly efficacious based on plasma-concentration studies, but further studies on actual diseased snakes are required to confirm these findings. Such methods are preferred, especially when venomous snakes are involved and also due to their bimonthly feeding, which makes oral administration of antifungals unfavourable []. Though voriconazole may also be a possible option, efficacy is unclear.
While MIC data is important for assessing efficacy, efficacy is not guaranteed, even when the pathogen is susceptible to the antifungal in vitro. Other reasons for the lack of efficacy may be insufficient concentrations at the site of infection, acquired resistance, interspecies differences affecting the disposition of antifungals, or poor condition of species at initial presentation. Such factors should also be considered when assessing the efficacy of antifungals.
5.1.2. Site of Infection
The site of infection plays a crucial role in the selection of appropriate antifungals. Fungal diseases in reptiles commonly occur in the cutaneous layers, and their much thinner hypodermis can predispose them to subsequent invasion of deeper tissues, such as the bones or muscles, requiring systemic antifungals []. The common sites of infection in avians preferentially involve the respiratory tract, possibly because the primary route of fungal invasion is via inhalation [].
Tissue concentrations of antifungals are more clinically relevant and reflective of the efficacy of the antifungal rather than the plasma concentrations, though they are not commonly measured in PK studies. A typical dose of itraconazole 10 mg/kg seems to be efficacious in different species, such as the African grey parrots and red-tailed hawks, but not in Okinawa rail or Pesquet’s parrots (Table 2). A possible reason for this could be that the tissue concentrations were not high enough to eliminate the fungal pathogens. In mallard ducks and racing pigeons, itraconazole concentrations in lung and brain tissues were the lowest, and it was posited that a significantly higher dose would be required to have a fungicidal effect in lung tissues [,]. Voriconazole tissue concentrations were not measured in any studies during our search. In reptiles, the keratinophilic nature of terbinafine makes it ideal for the treatment of dermatomycoses, due to accumulation in keratinized tissues [].
Tissue concentration studies were scarce, and future studies should focus on methods to predict tissue concentrations with plasma concentrations in specific species to better assess the therapeutic efficacy of antifungals.
5.2. Evaluation of Dosing Regimens in Relation to Safety
Species-specific data are crucial when assessing the safety of antifungals. Itraconazole, voriconazole and terbinafine had more extensive safety data reported in avians and reptiles (Tables S1 and S2), which can be found in the Supplementary Materials. Variable manifestations of neurotoxicity were observed for voriconazole in the form of lethargy, anorexia, ataxia and seizure-like symptoms in multiple penguin species such as Humboldt, African or Macaroni penguins, hind limb paresis in red-eared slider turtles and torticollis in cottonmouths, but not in African grey parrots or Japanese quails, despite using significantly higher doses (Tables S1 and S2). Possible hepatotoxicity from voriconazole administration was seen in the form of mild increases in aspartate aminotransferase in African grey parrots and a few inland bearded dragons (Tables S1 and S2). Similar adverse events have been observed in humans, and high trough concentrations are reported to increase the risk of neurotoxicity and hepatotoxicity [], though the target trough concentrations in specific exotic species are unclear. Adverse events in itraconazole were observed as hepatotoxicity mainly in the form of increases in aspartate aminotransferase in bearded dragons and a Parson’s chameleon, but not in tuataras (Table S2), despite being given similar doses. Terbinafine was generally found to be safe in both avians and reptiles. For the other antifungals, there were either no adverse events reported or insufficient sample sizes to evaluate safety accurately.
Though many single-dose studies reported no adverse events, safety cannot be accurately concluded as toxicity may sometimes only be observed upon chronic administration. This was evident in the numerous penguin species which showed neurotoxicity in multiple-dosing regimens but not in single-dosing regimens (Table S1). Furthermore, the deranged physiology in immunocompromised animals may further predispose them to adverse events that healthy animals are not subjected to. Adverse drug reactions may be unpredictable and therefore hard to predict in specific species []. Hence, close therapeutic drug monitoring is recommended, especially for the azoles, to ensure safe dosing regimens.
Table 2.
Summary of efficacy and safety data in avian species accompanied by a critical analysis of the study findings.
Table 2.
Summary of efficacy and safety data in avian species accompanied by a critical analysis of the study findings.
| Site of Infection | Antifungal Used | Dosing Regimen | Species | Evaluation of Dosing Regimens in Relation to Efficacy and Safety | References |
|---|---|---|---|---|---|
| Aspergillus spp.a | |||||
| Respiratory tract | Clotrimazole Itraconazole | 10 mg/mL NEB SID for 30–45 min on 3 day on–2 day off schedule PO 10 mg/kg SID × 1 month | African grey parrots (n = 1) Citron-crested cockatoo (n = 1) Gyrfalcon (n = 1) Red-tailed hawk (n = 1) Yellow-naped Amazon (n = 1) | Clotrimazole:
| [] |
| Respiratory tract | Amphotericin B Flucytosine | Intratracheal 1 mg/kg BID × 3 days IV 1.5 mg/kg TID × 3 days NEB 1 mg/mL of saline BID × 20 days PO 120 mg/kg QID × 20 days | Gyrfalcon (n = 1) |
| [] |
| Respiratory tract | Amphotericin B | NEB 1 mg/mL of saline BID × 31 days | Yellow-naped Amazon (n = 1) |
| [] |
| NR | Clotrimazole | NEB 40 mg for 1 h a day | Micronesian kingfisher (n = 1) |
| [] |
| NR | Fluconazole | PO 15 mg/kg q12 h × 5–75 days | African grey parrots (n = 23) |
| [] |
| Eyelids, head | Itraconazole Miconazole | PO 15 mg/kg q12–24 h × 3 months Topical BID on lesions | Falcon peregrinus × Falcon rusticolus (n = 1) |
| [] |
| NR | Itraconazole | PO 10 mg/kg SD | Lesser flamingo (n = 17) |
| [] |
| NR | Voriconazole | PO 12.5 mg/kg q12 h × up to 91 days | Gyrfalcons × peregrine falcon hybrid (n = 1) Saker falcons (n = 2) |
| [] |
| NR | Voriconazole | PO 20 or 40 mg/kg SD | Japanese quail (n = 38 for each dosing) |
| [] |
| Respiratory tract | Amphotericin B | IV 0.5–0.75 mg | Prairie falcons (n = 2) |
| [] |
| Respiratory tract and hematogenous involvement | Flucytosine | PO 60 mg/kg BID | Crested wood partridges (n = 4) |
| [] |
a Evaluation of antifungal therapy:
| |||||
| Aspergillus flavus b | |||||
| Lungs | Ketoconazole Enilconazole Itraconazole | PO 50 mg/kg PO 150 mg/kg Aerosol spray: 50 mg/kg PO 6 mg/kg | Turkeys (n = 20–40) |
| [] |
| Air sac | Voriconazole Micafungin Itraconazole | IM 23.5 mg/kg q12–24 h SC 11.6 or 22.7 mg/kg q12–24 h PO 10 mg/kg q12 h × 162 days | Okinawa rail (n = 1) |
| [] |
b Evaluation of antifungal therapy:
| |||||
| Aspergillus fumigatus c | |||||
| Pectoral muscle | Itraconazole Miconazole Amphotericin B (liposomal formulation) | PO 20 mg/kg q12 h × 50 days Topical twice weekly Topical 1.35 mg/kg q24 h × 30 days → discontinued for 15 days → q24 h × 14 days → every 3/4 days × 16 days → every 5–7 days × 60 days | Goliath heron (n = 1) |
| [] |
| Trachea | Itraconazole | 10% NEB SID for 30 min × 6 days 4% NEB SID for 30 min × 6 days | Japanese quail (n = 40) |
| [] |
| Respiratory tract | Itraconazole | PO 10 mg/kg/day × 7 days | Japanese quail (n = 60) |
| [] |
| Trachea | Voriconazole | PO 20 mg/kg SD PO 20 mg/kg q24 h PO 40 mg/kg SD PO 40 mg/kg q24 h | Japanese quail (n = 76 for single dose) (n = 40 for multiple dose) |
| [] |
| Ocular | Voriconazole | Topical 1 drop OS q4–6 h PO 20 mg/kg q12 h × 35 days | Khaki Campbell duck (n = 1) |
| [] |
| NR | Voriconazole | PO 8 mg/kg SID → 5 mg/kg SID → 5 days on treatment followed by 2-day off period × several years | Magellanic penguin (n = 1) |
| [] |
| Respiratory tract, air sac | Amphotericin B | IM 2.0 mg/kg SID | Peruvian penguins (n = 1) |
| [] |
| Lung | Voriconazole | PO 10 mg/kg q12 h × 14 days PO 20 mg/kg q24 h × 14 days | Racing pigeons (n = 10 for each dosing) |
| [] |
c Evaluation of antifungal therapy:
| |||||
| Candida albicans d | |||||
| Respiratory tract | Nystatin Itraconazole Amphotericin B Fluconazole | PO 400,000 units/kg q12 h PO 10 mg/kg q12 h × 30 days Intralesional: 1 mg/kg NEB 1 mg/mL of saline for 15 min q8 h × 2 days PO 5 mg/kg q12 h × 1 month | Sun conure (n = 1) |
| [] |
| Gnathotheca, mandibular bone | Itraconazole | PO 10 mg/kg q24 h × 10 days | Lesser flamingo (n = 1) |
| [] |
| Proventriculus | Ketoconazole | PO 10 mg/kg q12 h × 3 weeks | Lesser sulphur-crested cockatoo (n = 1) |
| [] |
| Membrane nictitans, cornea | Amphotericin B Flucytosine | Topical, subconjunctival injection, PO (dosing NR) Parenteral: 400 mg/kg/24 h given as two divided doses over a period of 3 weeks | Barrow’s goldeneye, common scoter, red-breasted merganser, long-tailed duck (n = NR) |
| [] |
d Evaluation of antifungal therapy:
| |||||
| Cryptococcus neoformans e | |||||
| Respiratory tract, globe, periocular tissues, and brain | Voriconazole | 1 drop of 1% reconstituted topical ophthalmic drops OS q6 h | African grey parrots (n = 1) |
| [] |
| Respiratory tract, globe, periocular tissues, and brain | Terbinafine Fluconazole | PO 20 mg/kg q12 h for 1 week → 15 mg/kg q12 h PO 15 mg/kg q12 h | African grey parrots (n = 1) |
| [] |
| Respiratory tract, globe, periocular tissues, and brain | Amphotericin B Terbinafine Fluconazole | Intraocular infusion: 1.5 mg/kg 3 doses into the globe × 4 months PO 15 mg/kg q24 h PO 15 mg/kg q24 h | African grey parrots (n = 1) |
| [] |
| Respiratory tract, globe, periocular tissues, and brain | Amphotericin B | IV 1.5 mg/kg | African grey parrots (n = 1) |
| [] |
| Respiratory tract, globe, periocular tissues, and brain | Flucytosine Fluconazole | PO 150 mg/kg q12 h PO 15 mg/kg q24 h | African grey parrots (n = 1) |
| [] |
e Evaluation of antifungal therapy:
| |||||
| Cryptococcus neoformans var. gattii f | |||||
| Beak, infraorbital sinus | Fluconazole | PO 8 mg/kg q24 h × 30 days | Goldie’s lorikeet (n = 1) |
| [] |
| Choana | Fluconazole | Intralesional injection 8 mg/kg SID × 30 days, → PO 8 mg/kg q24 h × 30 days | Papua lori (n = 1) | [] | |
| Cryptococcus gattii f | |||||
| Rhamphotheca of lower beak (and underlying bones), lungs, spleen, and brain | Fluconazole | PO 15 mg/kg q12 h | Citron-crested cockatoo (n = 1) |
| [] |
| Humerus | Itraconazole | PO 10 mg/kg q24 h | Pesquet’s parrot (n = 1) |
| [] |
| Humerus | Fluconazole | PO 10 mg/kg BID | Pesquet’s parrot (n = 1) |
| [] |
| Humerus, Glottis, trachea | Fluconazole Flucytosine Fluconazole | PO 10 mg/kg q12 h PO 50 mg/kg q12 h PO 15 mg/kg q24 h | Pesquet’s parrot (n = 1) |
| [] |
| Glottis, trachea | Amphotericin B | 1 mg/kg topical administration via atomisation syringe of reconstituted 5 mg/mL injectable q24 h × 2 weeks → q48 h × 2 weeks | Pesquet’s parrot (n = 1) |
| [] |
f Evaluation of antifungal therapy:
| |||||
BID = twice daily; TID = thrice daily; IM = intramuscular; IV = intravenous; MIC = minimum inhibitory concentration; n = number of (animals); NEB = nebulization; NR = not reported; OS = left eye; PO = oral; QID = four times daily; SC = subcutaneous; SD = single dose; SID = once daily; spp. = species.
Table 3.
Summary of efficacy and safety data in reptile species accompanied by a critical analysis of the study findings.
Table 3.
Summary of efficacy and safety data in reptile species accompanied by a critical analysis of the study findings.
| Site of Infection | Antifungal Used | Dosing Regimen | Species | Evaluation of Dosing Regimens in Relation to Efficacy and Safety | References |
|---|---|---|---|---|---|
| Chrysosporium anamorph of Nannizziopsis vriesii (CANV and related spp.) infections a | |||||
| Chrysosporium anamorph of Nannizziopsis vriesii (CANV) | |||||
| Skin | Itraconazole | PO 5 mg/kg q24 h + 1% topical silver sulfadiazine cream q12 h | Boa constrictor (n = 1) |
| [] |
| Skin | Itraconazole | PO 5 mg/kg q24 h | Coastal bearded dragon (n = 1) |
| [] |
| Skin | Itraconazole | PO 5 mg/kg q24 h | Inland bearded dragon (n = 7) |
| [] |
| Skin | Itraconazole | PO 5 mg/kg q48 h × 14 days + 20 mg/kg SC ceftazidime q72 h × 12 days | Inland bearded dragon (n = 1) |
| [] |
| Skin | Itraconazole | PO 10 mg/kg q24 h × 6 weeks + 0.125% chlorhexidine topical solution | Inland bearded dragon (n = 1) |
| [] |
| Skin | Itraconazole | PO 10 mg/kg q24 h × 10 weeks + daily baths in dilute povidone-iodine solution | Inland bearded dragon (n = 1) |
| [] |
| Systemic | Itraconazole | PO 10 mg/kg q24 h × 21 days | Jewel chameleon (n = 1) |
| [] |
| Skin | Itraconazole | PO 10 mg/kg q24 h × 21 days | Parson’s chameleon (n = 1) |
| [] |
| Skin | Voriconazole | PO 10 mg/kg q24 h | Giant girdled lizard (n = 1) |
| [] |
| Skin | Voriconazole | PO 10 mg/kg q24 h | Inland bearded dragon (n = 7) |
| [] |
| Chrysosporium spp. | |||||
| Skin | Ketoconazole | PO 20 mg/kg q24 h + 2% chlorhexidine solution + topical terbinafine | Green Iguana (n = 1) |
| [] |
| Skin | Ketoconazole | PO 20 mg/kg q24 h × 14 weeks + 2% chlorhexidine solution + topical terbinafine | Green Iguana (n = 1) |
| [] |
| Nannizziopsis guarroi | |||||
| Skin | Terbinafine | PO 20 mg/kg SD | Inland bearded dragons (n = 8) |
| [] |
| Paranannizziopsis australasiensis | |||||
| Skin | Itraconazole | PO 5 mg/kg q24 h × 28 days + topical 1% terbinafine ointment × 21 days | Tuatara (n = 1) |
| [] |
| Skin | Itraconazole | PO 5 mg/kg q24 h × 29 days | Tuatara (n = 1) |
| [] |
a Evaluation of antifungal therapy:
| |||||
| Ophidiomyces ophiodiicola b | |||||
| Skin | Itraconazole | 10 mg/kg SD per cloaca | Cottonmouth (n = 7) |
| [] |
| Skin | Voriconazole | SC 5 mg/kg SD | Cottonmouth (n = 6) |
| [] |
| Skin | Voriconazole | SC 10 mg/kg SD | Cottonmouth (n = 1) |
| [] |
| Skin | Voriconazole | SC osmotic pump 22.2 mg/mL (1.02–1.6 mg/kg/h) | Eastern massasauga (n = 2) |
| [] |
| Skin | Voriconazole | SC osmotic pump 10 mg/mL (12.1–17.5 mg/kg/h) | Timber rattlesnake (n = 1) |
| [] |
| Skin | Terbinafine | 2 mg/mL (18 mg total dose) × 30 min via nebulisation | Cottonmouth (n = 7) |
| [] |
| Skin | Terbinafine | 24.5 mg (75–190 mg/kg) SC implant cranial to midbody point | Cottonmouth (n = 7) |
| [] |
| Mandible and eye | Ketoconazole | PO 50 mg/kg q24 h | Black ratsnake (n = 1) |
| [] |
b Evaluation of antifungal therapy:
| |||||
BID = twice daily; TID = thrice daily; IM = intramuscular; IV = intravenous; MIC = minimum inhibitory concentration; n = number of (animals); NEB = nebulization; NR = not reported; OS = left eye; PO = oral; QID = four times daily; SC = subcutaneous; SD = single dose; SID = once daily; spp. = species.
6. Pharmacokinetic Variabilities in Avians and Reptiles
6.1. Azoles
Voriconazole and itraconazole are the focus of this review due to the more extensive studies done and superior pharmacokinetics over older-generation azoles. The various PK parameters for collated antifungals are presented in Table 4 (Avians) and Table 5 (Reptiles).
6.1.1. Voriconazole
Different Extent of Saturable Metabolism
Saturable metabolism of voriconazole has been observed across avian species, such as African grey parrots, common ravens, magellanic penguins and racing pigeons, to different extents (Table 4). At high doses, the rate of CYP-mediated metabolism reaches an upper limit, resulting in a disproportionate increases in AUC due to a decrease in CL. In magellanic penguins, AUC increased more than proportionately by 7.4-fold but only 3.1-fold in racing pigeons, despite the same 2-fold increase in dose. Interestingly, in Hispaniolan Amazon parrots, AUC and Cmax increased rather proportionately despite the doubling of dose when using non-compartmental pharmacokinetic modelling but showed similar non-linearities when a non-linear mixed effects model was used []. Such differences may be attributable to interspecies differences in the metabolic pathways of voriconazole metabolism [], CYP polymorphism profiles [] or even levels of CYP2C expression [] across species. Variations in the CYP2 subfamily expression, a major component of voriconazole metabolism, have also been found to be associated with feeding habits and migratory behaviours of avians, with higher levels found in migratory omnivorous species, which could be evolutionarily conserved due to the diverse environmental conditions []. Though clearance data were lacking in reptiles (Table 5), the potential of saturable metabolism cannot be ruled out.
Species-Specific Autoinduction of CYP Enzymes
Autoinduction in voriconazole has been observed in some avians and reptiles. This adds to the complexity of dosing because of the opposite effects on Css and AUC due to an increase in CL. Autoinduction is dose- and time-dependent [] and consequently observed in multiple-dosing studies. Multiple-dosing studies are unfortunately scarce, and only limited data are available showing a decrease in Css and AUC, possibly alluding to autoinduction (Table 4 and Table 5). This has been observed in racing pigeons [], Hispaniolan Amazon parrots [], inland bearded dragons [], mallard ducks [], and Western pond turtles []. The increase in CL results in lower half-lives upon multiple dosing, which would subsequently affect dosing intervals.
The autoinduction potential of voriconazole in other species cannot be ruled out, hence future studies should focus on elucidating the species-specific PK of voriconazole in multiple dosing regimens, which is more clinically relevant in the treatment of fungal diseases.
Non-linearities in voriconazole PK complicate dosing regimens, especially for multiple-dosing, as concepts of CL and half-life are lost. Hence, caution needs to be made when dose extrapolating across species as interspecies variabilities may exacerbate the unpredictability of these non-linearities in voriconazole PK, and therapeutic drug monitoring should be considered to avoid subtherapeutic doses or toxicity.
Varying V across Species
As voriconazole has a large V, saturable plasma and tissue protein binding may be of clinical significance. African grey parrots and Japanese quail showed opposing effects on V when the dose increased (Table 4). While the reasons are unclear, the decreased V in African grey parrots could be attributed to saturable tissue protein binding, whereas the increased V in Japanese quails could be due to saturable plasma protein binding. V consequently affects the half-life and hence the dosing interval. However, such postulations cannot be confirmed without data on the unbound fraction of voriconazole in both plasma and tissues. To our knowledge, plasma protein binding studies are rarely done in exotic animals.
6.1.2. Itraconazole
Formulation Differences Affecting Absorption Parameters
Absorption of itraconazole is heavily influenced by its dissolution rate in intestinal fluid due to its poor water solubility. Commercial formulations are preferred over compounded formulations due to the presence of cyclodextrin, which increases dissolution and hence the extent of absorption. This is reflected by the higher Cmax and AUC in African penguins with commercial formulations (Table 4). A similar phenomenon is seen in voriconazole, where the presence of suspending agents in commercial formulations increase dissolution rate, resulting in an increased rate of absorption, as reflected by a higher Cmax and lower Tmax in African grey parrots (Table 4).
Due to its poor solubility, oral absorption is also affected by gastric pH and the presence of food []. Differences in gastric pH in avians [] could contribute to the varying absorption parameters across species, affecting bioavailability and thus the dose to be administered. Despite the lack of data in reptiles, formulation differences and the effect of food might also be observed. In reptiles, intestinal transit time may vary with health status and anatomical differences. Intestinal transit times are longer in herbivorous reptiles due to their longer gut and may be prolonged further in immunocompromised reptiles [], thus affecting absorption parameters. Further studies should attempt to address if this is clinically significant.
Differences in Half-Life across Species
Differences in half-life may be due to varying V or CL parameters. The half-lives of itraconazole appeared to be fairly similar across avian species within the range of 6–10 h (Table 4), with the exception of the Lesser flamingo (75.7 h). The higher half-life in Lesser flamingos might be due to a higher V or lower CL compared to African penguins. Further studies are warranted to compare their body fat composition or extent of plasma or tissue protein binding, which would affect the V of antifungals and explain the differing half-lives. Half-lives in reptiles, however, varied significantly across cottonmouths (14.92 ± 5.33 h), spiny lizards (48.3 h) and Kemp’s Ridley sea turtles (75 h) (Table 5). The generally longer half-lives in reptiles is possibly due to their lower metabolic rates, resulting in a lower CL. However, this cannot be confirmed due to lack of CL and V data for reptiles.
Species-Specific Itraconazole/OH-ITRA Ratio
Itraconazole is converted into a bioactive hydroxy-metabolite (OH-ITRA) with similar in vitro potency as the parent drug [], making it clinically relevant. The itraconazole/OH-ITRA ratio is known to vary across species []. In Kemp’s Ridley sea turtles, the plasma itraconazole/OH-ITRA ratio was found to be significantly higher (16:1), compared to avians in general [], which could be due to the lower metabolic rates. Within avians, the itraconazole concentrations were higher than OH-ITRA concentrations in tissues and plasma for mallard ducks [] and red-tailed hawks [], and higher in Blue-fronted Amazon parrots in plasma (tissue concentrations unknown) []. Interestingly, an opposite trend was noticed in Humboldt penguins, where OH-ITRA concentrations were higher than itraconazole concentrations in plasma [], and in racing pigeons, where OH-ITRA concentrations were consistently higher in tissues but not in plasma []. Disparities in the itraconazole/OH-ITRA ratio alludes to the possibility of different metabolic pathways [] or different CYP isoenzyme expressions across species.
The timepoints used for taking blood samples can skew the measurements of itraconazole/OH-ITRA ratio, especially if insufficient time points are taken. This was the case in Humboldt penguins, where the blood samples taken were only up to 12 h, which was lower compared to most of the other species.
Low itraconazole plasma concentrations might be misleading as veterinarians might increase the dose without taking into account the concentrations of the bioactive OH-ITRA metabolite, which may cause unwanted toxicity. The metabolic pathways of itraconazole are still poorly characterised in avian and reptiles, and further insights on the differences in pathways across species can allow for safer dose extrapolations. Tissue concentration studies are recommended, as the tissue concentrations of itraconazole are more reflective of therapeutic efficacy than plasma concentrations.
6.1.3. Other Azoles
Though fluconazole shows linear kinetics in humans [], when the dose was doubled in African grey parrots, the AUC increased more than proportionately by 3.4-fold (Table 4). Disproportionate changes in AUC could be due to a decrease in renal CL because fluconazole is mainly excreted unchanged. CL decreased by 1.7-fold, hinting at the possible saturation of the active transporters involved in tubular secretion at higher doses. Fluconazole is known to be a substrate of a brush-border transporter (MDR1) involved in tubular drug secretion. Though tubular secretion is reported to be low, it is unclear if differences in expression of such active transporters or interspecies differences in passive reabsorption play a role in the elimination of fluconazole in African grey parrots [].
6.2. Allylamines
6.2.1. Accumulation in Peripheral Tissues
The use of terbinafine is not reported in the EAF for reptiles, unlike avians, but it is increasingly being used because of its wide safety margin and spectrum of activity. Due to its lipophilic and keratinophilic nature, terbinafine typically has a higher V because of accumulation in the skin and adipose tissues []. The increase in V with increasing doses in African penguins suggested an accumulation of terbinafine in the peripheral tissues (Table 4). Surprisingly, an opposite trend was observed in red-tailed hawks. This is possible if saturable tissue binding occurred. Changes in V may have implications on half-lives, which affects dosing regimens. However, plasma and tissue protein binding are rarely studied in exotic species. A further complication arises due to terbinafine showing two distinct compartments, which accounts for the long distribution phase, thus resulting in two apparent half-lives in African penguins and red-tailed hawks (Table 4). The terminal half-life is reflective of the actual elimination half-life as it purely involves the elimination phase. Close attention needs to be given when interpreting these half-lives to avoid overdosing, using the first half-life value instead.
6.2.2. Disparities in Half-Lives
Another riveting finding was noted with regards to the significantly lower half-life of terbinafine in red-eared slider turtles (5.4 h) and Western pond turtles (26.2–27 h) (Table 5). Changes in half-lives could be due to a change in CL or V, but these parameters were unavailable. A possible explanation could be that in the red-eared slider turtles’ study, all turtles were female, whereas for the Western pond turtles, they were all males. The increase in protein levels during active states of vitellogenesis in females might cause an increase in plasma proteins. Terbinafine has high plasma protein binding, and large V could have resulted in a lower fraction unbound and thus a lower V and shorter half-life []. In bearded dragons, terbinafine plasma concentrations were measured to be significantly higher in females than in males, possibly due to hyperproteinaemia in reproductively active females []. Further investigations on the effect of differences in plasma and tissue proteins on V, and hence half-life, across species are warranted, which would affect the efficacy of terbinafine dosing regimens.
Table 4.
Pharmacokinetic parameters of commonly reported antifungals for avian species.
Table 4.
Pharmacokinetic parameters of commonly reported antifungals for avian species.
| Species | Formulation | Fed/Fasted State | ROA | Dosing Regimen | Cmax/Css (µg/mL) | Tmax (h) | CL/F (mL/h/kg) | V/F (L/kg) | Half-Life (h) | AUC0–∞ (µg.h/mL) | Ref. |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Azoles | |||||||||||
| Fluconazole | |||||||||||
| African grey parrot (n = 12) | Injectable | NR | PO | 10 mg/kg SD | Cmp: 8.19 | Cmp: 5.18 | Cmp: 53.39 | Cmp: 0.90 | Cmp: 11.65 | 187.31 | [] |
| African grey parrot (n = 20) | Suspension of tablets | NR | PO | 10 mg/kg SD | Cmp: 7.45 | Cmp: 5.91 | Cmp: 64.71 | Cmp: 0.86 | Cmp: 9.22 | 154.55 | [] |
| African grey parrot (n = 5) | Suspension of tablets | NR | PO | 10 mg/kg q48 h × 12 days | NR | NR | NR | NR | 11.4–16.3 | NR | [] |
| African grey parrot (n = 12) | Suspension of tablets | NR | PO | 20 mg/kg SD | Cmp: 18.59 | Cmp: 9.54 | Cmp: 38.25 | Cmp: 0.56 | Cmp: 10.19 | 522.92 | [] |
| African grey parrot (n = 10) | Suspension of tablets | NR | PO | 20 mg/kg q48 h × 12 days | NR | NR | NR | NR | 11.4–16.3 | NR | [] |
| Cockatiel (n = 28) | Suspension | NR | PO | 10 mg/kg SD | Cmp: 4.94 NCmp: 4.941 | Cmp: 3.42 NCmp: 3 | Cmp: 66.99 NCmp: 66.62 | Cmp: 1.84 NCmp: 1.88 | Cmp: 19.01 | Cmp: 149.28 NCmp: 150.08 | [] |
| Cockatiel (n = 15) | Crushed tablets in drinking water | Ad libitum | PO | 100 mg/L | Day 3 (0800 HRS): 3.69 ± 1.22 Day 3 (1600 HRS): 4.17 ± 1.96 Day 7 (0800 HRS): 9.53 ± 1.48 Day 7 (1600 HRS): 12.95 ± 4.62 | NR | NR | NR | NR | NR | [] |
| Cockatiel (n = 6) | Crushed tablets in drinking water | Ad libitum | PO | 150 mg/L | Day 3 (1100 HRS): 6.42 ± 0.86 Day 3 (1600 HRS): 11.36 ± 4.27 Day 7 (1100 HRS): 4.78 ± 0.91 Day 7 (1600 HRS): 6.61 ± 1.67 | NR | NR | NR | NR | NR | [] |
| Itraconazole | |||||||||||
| African penguin (n = 3) | Commercial formulation (Sporanox) | Fed | PO | 7 mg/kg SD | NCmp: 0.75 ± 0.27 | NCmp: 3.7 ± 1.5 | NR | NR | NCmp: 5.8 ± 1.1 | NCmp: 6.23 ± 1.40 | [] |
| African penguin (n = 3) | Compounded formulation | Fed | PO | 7 mg/kg SD | NCmp: 0.35 ± 0.14 | NCmp: 2.1 ± 1.6 | NR | NR | NCmp: 6.2 ± 2.8 | NCmp: 2.31 ± 1.00 | [] |
| African penguin (n = 9) | Commercial formulation (Itrafungol) | Fed | PO | 20 mg/kg SD | 1.47 | 5.06 | 759.86 | NR | 8.05 | AUC0-last: 26.32 | [] |
| Blue-Fronted Amazon parrot (n = 8) | NR | Fed | PO | 5 mg/kg q24 h × 14 days | Day 1: 1.74 Day 14: 1.44 | Day 1: 3.7 Day 14: 6.0 | NR | NR | Day 1: 6.1 Day 14: 3.7 | Day 1: 20.96 Day 14: 20.84 | [] |
| Blue-Fronted Amazon parrot (n = 8) | NR | Fed | PO | 10 mg/kg q24 h × 14 days | Day 1: 2.31 Day 14: 3.43 | Day 1: 4.9 Day 14: 6.9 | NR | NR | Day 1: 6.2 Day 14: 7.2 | AUC0-last: Day 1: 32.14 Day 14: 71.91 | [] |
| Humboldt penguin (n = 15) | Commercial capsules (Sporanox) | Fed | PO | 7 mg/kg q12 h × 14 days | NCmp, ITRA: 0.26 ± 0.15 NCmp, OH-ITRA: 0.99 ± 0.39 | NR | NR | NR | NCmp, ITRA: 9.09 NCmp, OH-ITRA: 11.24 | NCmp, AUC (0–12 h), ITRA: 1.96 OH-ITRA: 10.35 | [] |
| Japanese quail (n = 12) | 10% suspension (nebulised without dilution) | NR | NEB | SD × 30 min | NCmp: 27.49 ± 4.58 µg/g a | NCmp: 4 a | NR | NR | NCmp: 35.8 a | NCmp, AUC0-last: 1133.01 µg.h/g a | [] |
| Japanese quail (n = 12) | 1% suspension | NR | NEB | SD × 30 min | NCmp: 4.14 ± 0.19 µg/g a | NCmp: 4 a | NR | NR | NCmp: 24.7 a | NCmp, AUC0-last: 106.69 µg.h/g a | [] |
| Japanese quail (n = 18) | 10% suspension | NR | NEB | SID for 30 min × 5 days | NCmp: 104.8 ± 10.02 µg/g a | NCmp: 0.167 a | NR | NR | NCmp: 164.1 a | NCmp, AUC0-last: 4955.63 µg.h/g a | [] |
| Lesser Flamingo (n = 17) | Commercial formulation (Itrafungol) | NR | PO | 10 mg/kg SD | NLMEM: 1.69 | NLMEM: 4.73 | NLMEM: 50 | NLMEM: 5.67 | NLMEM: 75.71 | NLMEM: 192.58 | [] |
| Mallard duck (n = 15) | Acidified with HCL in orange juice | NR | PO | 20 mg/kg SD | Cmp, ITRA: 1.07 Cmp, OH-ITRA: 0.34 | Cmp, ITRA: 0.8 Cmp, OH-ITRA: 4 | NR | Cmp, ITRA: 17.3 Cmp, OH-ITRA: 38.4 | Cmp, ITRA: 7.45 Cmp, OH-ITRA: 6.27 | Cmp, ITRA: 12.4 Cmp, OH-ITRA: 4.7 | [] |
| Mallard duck (n = 15) | Formulated with β-CD * | NR | PO | 20 mg/kg SD | Cmp, ITRA: 1.35 Cmp, OH-ITRA: 0.27 | Cmp, ITRA: 0.5 Cmp, OH-ITRA: 6.3 | NR | Cmp, ITRA: 20.7 Cmp, OH-ITRA: 38.4 | Cmp, ITRA: 8.5 Cmp, OH-ITRA: 6.74 | Cmp, ITRA: 11.9 Cmp, OH-ITRA: 5.1 | [] |
| Racing pigeon (n = 48) | Capsule (Sporanox/ Trisporal) | Fasted | PO | 10.3 mg/kg SD | 1.13 ± 0.44 | 4 | NR | NR | NR | NR | [] |
| Racing pigeon (n = 10) | Capsule (Sporanox/ Trisporal) | Fasted | PO | 10.3 mg/kg q6 h × 3 days | Css: 3.6 ± 0.9 | NR | NR | NR | 13.3 | NR | [] |
| Voriconazole | |||||||||||
| African grey parrot (n = 12) | In water | NR | PO | 6 mg/kg SD | NCmp: 0.54 | NCmp: 2 | NCmp: 2184.9 | NCmp: 3.50 | NCmp: 1.11 | NCmp: 2.75 | [] |
| African grey parrot (n = 12) | In water | NR | PO | 12 mg/kg SD | NCmp: 1.89 | NCmp: 4 | NCmp: 1151.4 | NCmp: 2.63 | NCmp: 1.59 | NCmp: 10.42 | [] |
| African grey parrot (n = 12) | In commercial suspending agent | NR | PO | 12 mg/kg SD | NCmp: 3.02 | NCmp: 2 | NCmp: 679.4 | NCmp: 1.05 | NCmp: 1.07 | NCmp: 17.66 | [] |
| African grey parrot (n = 12) | In commercial suspending agent | NR | PO | 18 mg/kg SD | NCmp: 5.67 Cmp: 5.85 | NCmp: 2 Cmp: 3.01 | NCmp: 521.3 Cmp: 540.21 | NCmp: 1.20 Cmp: 1.14 | NCmp: 1.59 Cmp: 1.46 | NCmp: 34.53 Cmp: 33.32 | [] |
| African penguin (n = 18) | Suspension | Fasted | PO | 5 mg/kg SD | Cmp: 1.89 ± 0.43 | Cmp: 0.4 ± 0.43 | NR | NR | Cmp: 10.92 ± 7.75 | Cmp, AUC (0–24 h): 13.82 ± 5.53 | [] |
| African penguin (n = 16) | Suspension | Fasted | PO | 5 mg/kg q24 h × 8 days | NR | NR | Cmp: 0.18 ± 0.08 L/h | Cmp: 3.34 ± 1.20 L | Cmp: 10.92 | Cmp, AUC (84–108 h): 37.7 | [] |
| Common raven (n = 8) | Solution | Fed | IV | 10 mg/kg SD | NR | NR | Cmp: 280.11 | Cmp: 1.59 | Cmp: 3.92 | Cmp: 35.70 | [] |
| Common raven (n = 4) | Suspension | Fed | PO | 6 mg/kg SD | Cmp: 3.17 | Cmp: 1.56 | Cmp: 415.16 | Cmp: 0.97 | Cmp: 0.76 | Cmp: 14.45 | [] |
| Common raven (n = 8) | Suspension | Fed | PO | 12 mg/kg SD | Cmp: 11.84 | Cmp: 2.74 | Cmp: 133.72 | Cmp: 0.44 | Cmp: 1.59 | Cmp: 89.74 | [] |
| Common raven (n = 4) | Suspension | Fed | PO | 24 mg/kg SD | Cmp: 13.46 | Cmp: 4.30 | Cmp: 152.50 | Cmp: 0.69 | Cmp: 2.83 | Cmp: 157.38 | [] |
| Gyrfalcon (n = 2) | Suspension of powder | NR | IM | 12.5 mg/kg SD | NCmp: 5.06 ± 0.81 | NCmp: 0.50 | NCmp: 220 ± 20 | NCmp, Vss: 2.01 ± 0.85 | NCmp: 5.59 ± 2.63 | NCmp: 55.94 ± 4.75 | [] |
| Gyrfalcon × peregrine falcon hybrid (n = 1) | Solution injected in quail meat | Fed | PO | 12.5 mg/kg q12 h × 1 week | 1.7 | Day 2 | NR | NR | NR | NR | [] |
| Hispaniolan Amazon parrot (n = 15) | Suspension | NR | PO | 12 mg/kg SD | NCmp: 2.49 PKM: 2.58 NLMEM: 2.81 ± 0.31 | NCmp:1.00 PKM: 1.01 NLMEM: 0.96 ± 0.33 | NCmp: 1575.56 PKM: 1691.32 NLMEM: 1989.71 ± 0.24 | NCmp: 2.05 PKM: 1.70 NLMEM: 1.65 | NCmp: 0.90 PKM: 0.70 NLMEM: 0.71 ± 0.27 | NCmp: 7.61 PKM: 7.10 NLMEM: 7.62 ± 1.15 | [] |
| Hispaniolan Amazon parrot (n = 12) | Suspension | NR | PO | 24 mg/kg SD | NCmp: 5.08 PKM: 5.17 NLMEM: 4.95 ± 0.44 | NCmp: 2.00 PKM: 1.30 NLMEM: 1.46 ± 0.19 | NCmp: 1306.01 PKM: 1471.47 NLMEM: 1414.61 ± 0.94 | NCmp: 2.35 PKM: 2.48 NLMEM: 2.13 ± 0.01 | NCmp: 1.25 PKM: 1.17 NLMEM: 1.72 ± 0.37 | NCmp: 18.38 PKM: 16.31 NLMEM: 23.38 ± 3.78 | [] |
| Hispaniolan Amazon parrot (n = 6) | Suspension | NR | PO | 18 mg/kg q8 h × 11 days | NCmp, C(2 h), Day 0: 2.89 NCmp, C(2 h), Day 10: 0.79 | NCmp, Day 0: 2 NCmp, Day 10: 2 | NR | NR | NCmp, Day 0: 1.15 NCmp, Day 10: 1.29 | NCmp, AUC(2–5 h): Day 0: 4.59 AUC (2–5 h), Day 10: 1.17 | [] |
| Japanese quail (n = 38) | Suspension | NR | PO | 20 mg/kg SD | NCmp: 5.8 | NCmp: 2 | NR | Cmp: 1.77 | NCmp: no value Cmp: 1.37 | NCmp: no value | [] |
| Japanese quail (n = 38) | Suspension | NR | PO | 40 mg/kg SD | NCmp: 6.9 | NCmp: 2 | NR | Cmp: 6.10 | NCmp: 9.11 Cmp: 8.45 | NCmp: 89.8 | [] |
| Magellanic penguin (n = 15) | Suspension | Fed | PO | 2.5 mg/kg SD | NCmp: 1.08 | NCmp: 2.02 | NCmp: 17.18 | NCmp: 0.18 | NCmp: 7.26 | NCmp: 14.55 | [] |
| Magellanic penguin (n = 30) | Suspension | Fed | PO | 5 mg/kg SD | NCmp: 2.59 | NCmp: 1.03 | NCmp: 4.62 | NCmp: 0.22 | NCmp: 33.71 | NCmp: 108.29 | [] |
| Mallard duck (n = 6) | Solution | Fasted | IV | 10 mg/kg SD | NR | NR | NCmp: 530 ± 96 | Cmp, Vc: 1.23 ± 0.35 NCmp, Vss: 1.14 ± 0.39 | NCmp: 1.34 ± 0.58 Cmp: 1.44 ± 0.44 | NCmp: 19.35 ± 3.19 | [] |
| Mallard duck (n = 6) | Solution | Fasted | PO | 10 mg/kg SD | NCmp: 3.94 ± 0.29 | NCmp: 0.77 ± 0.68 | NR | Cmp: 1.50 ± 0.48 | NCmp: 1.11 ± 0.27 Cmp: 1.00 ± 0.37 | NCmp: 11.48 ± 2.61 | [] |
| Mallard duck (n = 6) | Suspension | Fed | PO | 20 mg/kg q24 h × 21 days | NCmp, Day 1: 10.91 ± 2.16 NCmp, Day 21: 9.96 ± 1.60 | NCmp, Day 1: 2 ± 1.1 NCmp, Day 21: 1 | NR | Cmp, Day 1: 0.80 ± 0.25 Cmp, Day 21: 0.90 ± 0.14 | NCmp, Day 1: 1.79 ± 0.67 NCmp, Day 21: 0.85 ± 0.08 Cmp, Day 1: 1.41 ± 0.29 Cmp, Day 21: 0.72 ± 0.08 | AUC0-last: NCmp, Day 1: 55.83 ± 15.44 NCmp, Day 21: 26.14 ± 5.49 | [] |
| Mallard duck (n = 12) | Suspension | Fasted | PO | 20 mg/kg q24 h × 21 days | NCmp, Day 1: 11.06 ± 1.95 NCmp, Day 21: 8.09 ± 2.63 | NCmp, Day 1: 1.33 ± 0.52 NCmp, Day 21: 1.08 ± 0.49 | NR | Cmp, Day 1: 0.58 ± 0.1 Cmp Day 21: 1.62 ± 0.94 | NCmp, Day 1: 1.01 ± 0.22 NCmp, Day 21: 1.16 ± 0.25 Cmp, Day 1: 0.89 ± 0.11 Cmp, Day 21: 1.11 ± 0.28 | AUC0-last: NCmp, Day 1: 48.68 ± 6.68 NCmp, Day 21: 29.79 ± 15.70 | [] |
| Peregrine falcon (n = 2) | Suspension of powder | NR | IM | 12.5 mg/kg SD | NCmp: 5.79 ± 0.68 | NCmp: 1.00 | NCmp: 210 ± 20 | NCmp, Vss: 1.75 ± 0.44 | NCmp: 5.01 ± 2.81 | NCmp: 60.07 ± 6.35 | [] |
| Racing pigeon (n = 15) | NR | NR | IV | 2.5 mg/kg SD | NR | NR | NCmp, CL: 120 Cmp, CL: 120 | NCmp, V: 1.05 Cmp, V: 1.11 | NCmp: 6.15 Cmp: 6.62 | NCmp: 18.48 Cmp: 18.82 | [] |
| Racing pigeon (n = 15) | NR | NR | IV | 5 mg/kg SD | NR | NR | NCmp, CL: 83 Cmp, CL: 86 | NCmp, V: 1.42 Cmp, V: 1.41 | NCmp: 11.82 Cmp: 11.33 | NCmp: 60.23 Cmp: 57.93 | [] |
| Racing pigeon (n = 24) | NR | NR | IV | 10 mg/kg SD | NCmp: 6.41 Cmp: 5.58 | NR | NCmp, CL: 76 Cmp, CL: 76 | NCmp, V: 1.77 Cmp, V: 1.79 | NCmp: 16.18 Cmp: 16.25 | NCmp: 131.73 Cmp: 130.74 | [] |
| Racing pigeon (n = 24) | Suspension of crushed tablets in water | NR | PO | 10 mg/kg SD | NCmp: 3.65 Cmp: 3.32 | NCmp: 2.00 Cmp: 2.15 | NCmp: 180 Cmp: 176 | NCmp: 2.44 Cmp: 2.60 | NCmp: 9.29 Cmp: 10.32 | NCmp: 55.08 Cmp: 57.07 | [] |
| Racing pigeon (n = 20) | Suspension of crushed tablets in water | NR | PO | 10 mg/kg q12 h × 4 days | NCmp, Cmax (mean) = 2.35 | NR | NR | NR | NCmp, Day 4: 1.6 | NR | [] |
| Racing pigeon (n = 20) | Suspension of crushed tablets in water | NR | PO | 10 mg/kg q24 h × 3 days | NCmp, Cmax (mean), Day 1: 3.68 NCmp, Cmax (mean), Day 3: 2.42 | NR | NR | NR | NR | NR | [] |
| Racing pigeon (n = 12) | Suspension of crushed tablets in water | NR | PO | 20 mg/kg q24 h × 10 days | NCmp, Cmax (mean), Day 1: 8.62 NCmp, Cmax (mean), Day 9: 9.18 | NR | NR | NR | NR | NR | [] |
| Racing pigeon (n = 6) | NR | NR | NEB | 10 mg/mL 0.9% sodium chloride × 15 min | 0.41 ± 0.20 | 1.5 | NR | NR | NR | NR | [] |
| Red-tailed hawk (n = 12) | Suspension | Fed | PO (by gavage) | 10 mg/kg SD | NCmp: 4.7 ± 1.3 | NCmp: 2.0 ± 1.2 | NCmp: 410 ± 208 | NCmp: 1.6 ± 0.84 | NCmp: 2.8 ± 0.67 | NCmp: 29.0 ± 9.9 | [] |
| Red-tailed hawk (n = 8) | NR | Fed | PO | 10 mg/kg q12 h × 14 days | NCmp: 4.5 ± 2.7 | NCmp: 2.4 ± 1.1 | NCmp: 515 ± 197 | NCmp: 1.5 ± 0.73 | NCmp: 2.1 ± 0.8 | NCmp: 26 ± 9.6 | [] |
| Red-tailed hawk (n = 3) | Suspension of powder | Fed | PO | 15 mg/kg SD | NCmp: 6.18 ± 1.59 | NCmp: 4.86 ± 1.95 | NCmp: 485.16 ± 274.93 | NCmp: 1.35 ± 0.41 L b | NCmp: 2.29 ± 1.01 | NCmp: 45.70 ± 20.96 | [] |
| Red-tailed hawk (n = 4) | Suspension of powder | Fasted | PO | 15 mg/kg SD | NCmp: 7.23 ± 1.34 | NCmp: 2.29 ± 0.76 | NCmp: 430.57 ± 188.36 | NCmp: 1.18 ± 0.36 L b | NCmp: 2.04 ± 0.62 | NCmp: 46.01 ± 11.80 | [] |
| Saker falcon (n = 3) | Suspension of powder | NR | IM | 12.5 mg/kg SD | NCmp: 5.57 ± 0.88 | NCmp: 0.79± 0.29 | NCmp: 200 ± 40 | NCmp, Vss: 1.93 ± 0.06 | NCmp: 6.53 ± 1.12 | NCmp: 62.75 ± 10.53 | [] |
| Saker falcon (n = 3), Gyrfalcon × peregrine falcon hybrid (n = 2), Gyrfalcon (n = 1) | Fine powder in sterile water | Fed | PO (by gavage) | 12.5 mg/kg q12 h × 2 weeks | 1.9–2.4 | 1 | NR | NR | NR | NR | [] |
| ALLYLAMINES | |||||||||||
| Terbinafine | |||||||||||
| African penguin (n = 10) c,d | Tablets compounded into slurry | NR | PO | 3 mg/kg SD | NCmp: 0.1 ± 0.02 Cmp: 0.1 ± 0.02 | NCmp: 4.0 ± 0.94 Cmp: 2.7 ± 0.96 | NCmp 2600 ± 380 mL/h Cmp: 2600 ± 400 mL/h | 37 ± 28.5 Cmp: 37.0 ± 22.90 mg/L NCmp: 37.0 ± 28.50 mg/L | NCmp, 1st: 10.0 ± 4.5 Cmp, 1st: 10.0 ± 4.9 NCmp, 2nd: 121 ± 10 Cmp, 2nd: 123 ± 6 | AUC0–last: NCmp: 1.2 ± 0.17 Cmp: 1.2 ± 0.12 | [] |
| African penguin (n = 10) c,d | Tablets compounded into slurry | NR | PO | 7 mg/kg SD | NCmp: 0.4 ± 0.11 Cmp: 0.2 ± 0.10 | NCmp: 4.0 ± 0.87 Cmp: 1.6 ± 0.90 | NCmp: 1600 ± 690 mL/h Cmp: 1900 ± 610 mL/h | Cmp: 37.0 ± 23.80 mg/L NCmp: 40.0 ± 28.10 mg/L | NCmp, 1st: 17.0 ± 4.9 Cmp, 1st: 13.0 ± 4.9 NCmp, 2nd: 136 ± 9.7 Cmp, 2nd: 13.0 ± 9.90 | AUC0–last: NCmp: 4.3 ± 1.86 Cmp: 3.7 ± 1.12 | [] |
| African penguin (n = 10) c,d | Tablets compounded into slurry | NR | PO | 15 mg/kg SD | NCmp: 0.3 ± 0.05 Cmp: 0.2 ± 0.06 | NCmp: 4.0 ± 1.23 Cmp: 2.4 ± 1.33 | Cmp: 2800 ± 290 mL/h NCmp: 2100 ± 350 mL/h | Cmp: 68.0 ± 21.60 mg/L NCmp: 52.0 ± 18.60 mg/L | NCmp, 1st: 17.0 ± 5.4 Cmp, 1st: 17.0 ± 4.5 NCmp, 2nd: 131 ± 9.9 Cmp, 2nd: 130 ± 11.1 | AUC0–last: NCmp: 6.0 ± 1.16 Cmp: 5.4 ± 1.13 | [] |
| African penguin (n = 10) | Tablets compounded into slurry | NR | PO | 15 mg/kg q24 h × 4 days | 2.1 ± 0.94 | 0.8 ± 0.84 | 0.5 ± 0.71 | NR | 129.0 ± 6.00 | NR | [] |
| Common shelduck (n = 7) | Crushed commercial tablet suspension (Lamisil) | NR | PO | 60 mg/kg SD | NCmp: 3.99–7.17 | NCmp: 1.0–2.0 | NR | NR | NCmp: 4.18–8.71 | NCmp: 22.73–54.75 | [] |
| Hispaniolan Amazon parrot (n = 6) | Crushed tablet suspension | Fed | PO | 60 mg/kg SD | NCmp: 0.11–0.67 | NCmp: 2.0–8.0 | NR | NR | NCmp: 8.56–13.51 | NCmp: 1.90–4.44 | [] |
| Hispaniolan Amazon parrot (n = 3) | Crushed tablet solution | NR | NEB | 1 mg/mL × 15 min | NCmp: 0.048 ± 0.027 | NCmp: 0.14 ± 0.09 | NR | NR | NCmp: 0.35± 0.18 | NCmp: 0.03 ± 0.02 | [] |
| Hispaniolan Amazon parrot (n = 3) | Raw powder solution | NR | NEB | 1 mg/mL × 15 min | NCmp: 0.20 ± 0.18 | NCmp: 0.30 ± 0.38 | NR | NR | NCmp: 0.31± 0.38 | NCmp: 0.11 ± 0.11 | [] |
| Red-tailed hawk (n = 10) d,e | Crushed tablets in gelatin capsule (in rat belly meat) | Fed | PO | 15 mg/kg SD | NCmp: 0.3 ± 0.24 Cmp: 0.3 ± 0.24 | NCmp: 5.4 ± 2.98 Cmp: 5.4 ± 2.98 | NCmp: 2400 ± 1460 Cmp: 2300 ± 1460 | NCmp: 76.8 ± 38.06 Cmp: 72.0 ± 36.6 | NCmp, 1st: 14.7 ± 6.67 Cmp, 1st: 15.0 ± 7.13 Cmp, 2nd: 161 ± 78.2 | NCmp: 6.2 ± 3.57 Cmp: 6.7 ± 3.67 | [] |
| Red-tailed hawk (n = 10) d,e | Crushed tablets in gelatin capsule (in rat belly meat) | Fed | PO | 30 mg/kg SD | NCmp: 1.2 ± 0.40 Cmp: 1.2 ± 0.40 | NCmp: 3.4 ± 0.96 Cmp: 3.4 ± 0.96 | NCmp: 1500 ± 720 Cmp: 1400 ± 720 | NCmp: 55.2 ± 17.40 Cmp: 50.1 ± 24.4 | NCmp, 1st: 17.5 ± 8.7 Cmp, 1st: 18.2 ± 6.3 Cmp, 2nd: 147 ± 65.6 | NCmp: 20.1 ± 9.07 Cmp: 21.6 ± 10.10 | [] |
| Red-tailed hawk (n = 10) d,e | Crushed tablets in gelatin capsule (in rat belly meat) | Fed | PO | 60 mg/kg SD | NCmp: 2.0 ± 0.75 Cmp: 2.0 ± 0.75 | NCmp: 5.1 ± 3.50 Cmp: 5.1 ± 3.50 | NCmp: 1700 ± 750 Cmp: 1400 ± 750 | NCmp: 42.2 ± 25.40 Cmp: 45.5 ± 15.4 | NCmp, 1st: 13.3 ± 5.03 Cmp, 1st: 13.3 ± 5.13 Cmp, 2nd: 139 ± 42.0 | NCmp: 35.3 ± 15.39 Cmp: 43.2 ± 22.76 | [] |
AUC0-∞ = area under the plasma concentration–time curve from dosing to infinity; AUC0-last = area under the concentration–time curve from the time of dosing to the last measured concentration after dosing; CL = clearance; CL/F = apparent clearance; Cmax = peak plasma drug concentration; Cmp = compartmental model; Css = steady-state drug concentration; HCL = hydrochloric acid; IM = intramuscular; ITRA = itraconazole; IV = intravenous; NCmp = non-compartmental model; NEB = nebulization; NLMEM = nonlinear mixed effects modelling; NR = not reported; OH-ITRA = hydroxyitraconazole; PKM = 1-compartmental pharmacokinetic model; PO = oral; ROA = route of administration; SD: single dose; SID = once daily; Tmax = time to peak plasma drug concentration; V/F = apparent volume of distribution; Vc = Volume of central compartment; Vss = apparent volume of distribution at steady-state; * β-CD = hydroxypropyl-β-cyclodextrin in water; a: Lung tissue pharmacokinetic parameters of itraconazole in Japanese quails. b: Volume was reported in L and not L/kg. c: CL reported in mL/h and not mL/h/kg and V reported in mg/L instead of L/h. d: 1st half-life reported is the first decline and the 2nd half-life reported is the terminal slope, which denotes the true elimination. e: AUC reported in µg.h/mL/kg instead of µg.h/mL.
Table 5.
Pharmacokinetic parameters of commonly reported antifungals for reptile species.
Table 5.
Pharmacokinetic parameters of commonly reported antifungals for reptile species.
| Species | ROA | Dosing Regimen | Cmax/Css (µg/mL) | Tmax (h) | CL/F (mL/h/kg) | V/F (L/kg) | Half-Life (h) | AUC0–∞ (µg.h/mL) | Ref. |
|---|---|---|---|---|---|---|---|---|---|
| AZOLES | |||||||||
| Ketoconazole | |||||||||
| Gopher tortoise (n = 8) | PO | 15 mg/kg q24 h × 3 days | Css(avg): 2.2 | NR | 18 ± 1.2 | 5.6 ± 0.7 | 13.2 ± 1.7 | 49.7 ± 2.7 a | [] |
| Gopher tortoise (n = 14) | PO | 30 mg/kg SD | 3.39 ± 0.12 | 10.57 ± 0.82 | 301.2 ± 5.4 | NR | 11.57 ± 3.46 | 99.75 ± 7.52 a | [] |
| Gopher tortoise (n = 8) | PO | 30 mg/kg q24 h × 3 days | Css(avg): 4.4 | NR | 18 ± 1.8 | 5.8 ± 0.8 | 14.4 ± 2.5 | 105.2 ± 11.9 | [] |
| Fluconazole | |||||||||
| Kemp’s Ridley sea turtle (n = 21) | SC | 21 mg/kg SD | NLMEM: 26.16 | NLMEM: 0.79 | NLMEM: 10.93 | NLMEM: 0.79 | NLMEM: 50.35 | NLMEM: 1921.17 a | [] |
| Loggerhead sea turtle (n = 6) | IV | 2.5 mg/kg SD | Cmp: 2.7 ± 0.5 | NR | Cmp: 8.2 ± 4.3 | Cmp, Vss: 1.38 ± 0.26 | Cmp: 132.6 ± 48.7 | Cmp: 360.4 ± 172.2 | [] |
| Loggerhead sea turtle (n = 6) | SC | 2.5 mg/kg SD | Cmp: 2.1 ± 0.4 | Cmp: 4.8 | NR | NR | Cmp: 139.5 ± 36.0 | Cmp: 368.7 ± 177.5 | [] |
| Loggerhead sea turtle (n = 4) | SC | 21 mg/kg loading dose, followed by 10 mg/kg q5d | Css(4 h): 16.9 ± 1.2 Css(244 h): 19.0 ± 2.8 | NA | NR | NR | 143 | NR | [] |
| Itraconazole | |||||||||
| Cottonmouth (n = 7) | Per cloaca | 10 mg/kg SD | NCmp: ITRA: 0.47 ± 0.15 OH-ITRA: 0.12 ± 0.05 | NCmp: ITRA: 10.86 ± 16.57 OH-ITRA: 56 ± 13.86 | NR | NR | NCmp: 14.92 ± 5.33 | NCmp: 19.01 ± 17.11 | [] |
| Inland bearded dragon (n = 7) | PO | 5 mg/kg q24 h | Cmax: 0.16–7.8 (mean = 3.64) | NR | NR | NR | NR | NR | [] |
| Kemp’s Ridley sea turtle (n = 2) | PO | 5 mg/kg q72 h | NCmp: 0.19–0.78 | NR | NR | NR | NR | NCmp, AUC0–last: ITRA: 20.1 ± 12.3 OH-ITRA: 2.18 ± 1.06 | [] |
| Kemp’s Ridley sea turtle (n = 3) | PO | 10 mg/kg q72 h | NCmp: 0.13–0.98 | NR | NR | NR | NR | NCmp, AUC0–last: ITRA: 20.6 ± 18.8 OH-ITRA: 1.84 ± 2.08 | [] |
| Kemp’s Ridley sea turtle (n = 3) | PO | 15 mg/kg q72 h | NCmp: 0.81–1.07 | NR | NR | NR | NCmp: ITRA: 75 OH-ITRA: 55 | NCmp, AUC0–last: ITRA: 54.0 ± 11.9 OH-ITRA: 3.19 ± 1.22 | [] |
| Spiny lizard (n = 35) | PO | 23.5 mg/kg (mean) q24 h × 3 days | 2.48 | 98.8 | NR | NR | 48.3 | 377.21 | [] |
| Voriconazole | |||||||||
| Giant girdled lizard (n = 1) | PO | 10 mg/kg q24 h × 10 weeks | 2.81–3.34 (mean: 3.04) | NR | NR | NR | NR | NR | [] |
| Inland bearded dragon (n = 7) | PO | 10 mg/kg q24 h | ≥0.91–14.4 (mean = 5.74) | NR | NR | NR | NR | NR | [] |
| Northwestern pond turtle (n = 7) | SC | 10 mg/kg SD | NCmp: 41.0 ± 1.96 | NCmp: 2 | NR | NR | NCmp: 15.2 | NCmp: 921.1 | [] |
| Northwestern pond turtle (n = 7) | SC | 10 mg/kg q48 h × 14 days | NCmp: 12.4 ± 2.2 | NCmp: 50 | NR | NR | NR | NR | [] |
| Red-eared slider turtle (n = 12) | SC | 10 mg/kg q12 h × 7 days | 7.58 ± 5.39 | 1.29 ± 1.28 | NR | NR | NR | NR | [] |
| ALLYLAMINES | |||||||||
| Terbinafine | |||||||||
| Cottonmouth (n = 7) | NEB | 18 mg (2 mg/mL TBF HCl solution) × 30 min | NCmp: 0.23 ± 0.14 | NCmp: 4 ± 3 | NR | NR | NR | NCmp, AUC0–last: 1.33 ± 0.98 | [] |
| Cottonmouth (n = 7) | SC implant | 24.5 mg (75–190 mg/kg) | NCmp: 0.20 ± 0.20 | NCmp: 229 ± 321 | NR | NR | NR | NCmp, AUC0–last: 75.6 ± 52.9 | [] |
| Inland bearded dragon (n = 8) | PO | 20 mg/kg SD | NCmp: 0.43 ± 0.34 | NCmp: 13 ± 4.66 | NR | NR | NCmp: 21.24 ± 12.40 | NCmp: 11.36 ± 9.81 | [] |
| Northwestern pond turtle (n = 18) | NEB | 18 mg (2 mg/mL) q24 h × 28 days | Cmax (keratin): 56.25 ± 79.10 µg/g | Tmax (keratin): 16.72 ± 8.01 days | NR | NR | NR | AUC (keratin): 1077 ± 1434 day µg/g | [] |
| Northwestern pond turtle (n = 7) | PO | 30 mg/kg SD | NCmp: 0.79 ± 0.91 | NCmp: 1.8 ± 2.8 | NR | NR | NCmp: 26.2 ± 12.7 | NCmp, AUC0–last: 10.91± 11.34 | [] |
| Northwestern pond turtle (n = 7) | BEC | 30 mg/kg SD | NCmp: 1.02 ± 0.79 | NCmp: 14.1 ± 12.3 | NR | NR | NCmp: 27.0 ± 7.3 | NCmp, AUC0–last: 33.02 ± 44.20 | [] |
| Red-eared slider turtle (n = 6) | PO | 15 mg/kg SD | NCmp: 0.202 | NCmp: 1.00–4.00 (mean = 1.26) | NR | NR | NCmp: 2.67–9.83 (mean = 5.35) | NCmp: 0.319–7.31 a (mean = 1.21) | [] |
AUC0–∞ = area under the plasma concentration-time curve from dosing to infinity; AUC0-last = area under the concentration-time curve from the time of dosing to the last measured concentration after dosing; BEC = bioencapsulation into an earthworm vehicle; CL/F = apparent clearance; Cmax = peak plasma drug concentration; Cmp = compartmental model; Css = steady-state drug concentration; ITRA = itraconazole; IV = intravenous; NCmp = non-compartmental model; NEB = nebulization; NLMEM = nonlinear mixed effects modelling; NA = not applicable; NR = not reported; OH-ITRA = hydroxyitraconazole; PO = oral; ROA = route of administration; SD: single dose; Tmax = time to peak plasma drug concentration; V/F = apparent volume of distribution; Vss = apparent volume of distribution at steady-state; a: unclear if the AUC calculated was to infinity or till the last point of measurement.
7. Evaluation of Current Literature and Future Recommendations
Due to the emergence of fluconazole resistance and its limited spectrum of activity in Candida and Cryptococcus spp., the use of fluconazole in treating fungal diseases has reduced substantially. Itraconazole and voriconazole have an extended spectrum of activities with a critical place in antifungal therapy against filamentous fungi such as Aspergillus spp. []. In vitro susceptibility testing of newer generation azoles such as posaconazole are also promising given its superior activity against fungal isolates that exhibit resistance to voriconazole and other triazoles [].
A major limitation is that the PK studies that were conducted had a small sample size and case reports were also isolated and may not have reached statistical significance. Hence, any conclusions made should be done so with caution as the results may be due to random chance. Furthermore, some of the studies were conducted using critically ill exotic animals, whereas some used healthy animals. This could be a potential confounder as it is challenging to conclude if the treatment failure was due to a severe disease state or lack of antifungal activity. Different compartmental models were also used for the computations of pharmacokinetic parameters, and some reported values from multiple models. In general, the majority of the studies collated used non-compartmental modelling in their PK analysis. Although disparities in values amongst different models do not seem significant for most studies, further studies could be conducted to identify the most appropriate modelling method to be used. Predictors of efficacy using PK parameters are also not well-studied in exotic animals, and future studies should focus on this to allow easier prediction of therapeutic outcomes.
Clinical breakpoints for fungal isolates from exotic animals are not well-established, even though they are increasingly adopted in humans as they are more accurate in predicting clinical success because they take into account the PK-PD of the species and the treatment outcomes. The epidemiological cut-off value (ECV or ECOFF), which is the MIC that differentiates between wild-type and resistant fungal pathogens, is more commonly used in exotic animals as the data can be easily obtained for most species []. However, MIC values may vary across species, even for the same fungal isolates, which makes clinical breakpoints the right direction to move towards in achieving optimal therapeutic outcomes for the treatment of fungal diseases.
8. Conclusions
In addition to their broad spectrum of activity, voriconazole is likely to be the most efficacious antifungal for treatment of fungal diseases in avians and reptiles, especially for aspergillosis. Itraconazole may be a suitable alternative if cheaper generic formulations are available. However, given the wide array of antifungals available, the site of infection and type of fungal disease need to be considered to ensure optimal therapeutic outcomes. There was a lack of data for fungal diseases other than aspergillosis due to the small sample size or limited studies collated. Tissue concentrations are ideal in determining therapeutic efficacy rather than plasma concentrations, but this may not always be logistically feasible.
Toxicity caused by antifungals were species-specific and more pronounced and variable in voriconazole, from polyuria in African grey parrots to neurological adverse events in cottonmouths. Itraconazole showed mild liver abnormalities in bearded dragons and chameleons. Similar adverse effects have been observed in humans. Terbinafine was generally safe in both avian and reptile species.
PK is an integral component to consider when evaluating the efficacy of dosing regimens in exotic animals. Different formulations of itraconazole have varying impacts on absorption parameters. Non-linearities in voriconazole make dose extrapolations unwise due to the unpredictable effects on half-life and other PK parameters. Hence, using species-specific pharmacological data is the most accurate way of designing dosing regimens for antifungal therapy.
Our review also found specific dosing recommendations for the use of terbinafine in Red-eared slider turtles, Western pond turtles, cottonmouths and inland bearded dragons. Though these were single-dose studies, they provide a good starting point for future multiple-dosing studies, given the promising use of terbinafine which accumulates in peripheral tissues and allows for longer dosing intervals.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jof9080810/s1, Table S1: Efficacy and safety parameters of commonly reported antifungals for avian species; Table S2: Efficacy and safety parameters of commonly reported antifungals for reptile species.
Author Contributions
Conceptualization, N.V. and J.Y.A.L.; methodology, N.V. and J.Y.A.L.; validation, N.V. and J.Y.A.L.; resources, N.V. and J.Y.A.L.; data curation, N.V. and J.Y.A.L.; writing—original draft preparation, N.V. and J.Y.A.L.; writing—review and editing, N.V. and J.Y.A.L.; visualization, N.V. and J.Y.A.L.; supervision, H.T.C. and S.X.; project administration, H.T.C. and S.X. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analysed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Keywords and search terms used in review search strategy.
Table A1.
Keywords and search terms used in review search strategy.
| Keywords | Related Search Terms |
|---|---|
| Antifungal | Antifungal, antifungals, antifungal drug, antifungal agent, antifungal agents, antimycotic, antimycotic agent, antimycotic drug, fungistatic agent, mycostatic agent, azole, azoles, clotrimazole, enilconazole, ketoconazole, fluconazole, miconazole, itraconazole, voriconazole, polyene, polyenes, amphotericin B, nystatin, macrolide, macrolides, natamycin, nucleotide analogue, nucleotide analogues, flucytosine, allylamine, allylamines, terbinafine, echinocandin, echinocandins, micafungin, administration, route, oral, topical, parenteral, nebulization, nebulized, solution, intravenous |
| Avian | Bird, birds, aves, avian, avians |
| Efficacy | Effective, effectiveness, therapeutic efficacy, therapeutic action, therapeutics, therapy, treatment effectiveness, treatment efficacy, eliminate, resolution, resolve, susceptible, susceptibility, site, site of infection, skin, systemic, respiratory, |
| Exotic | Exotic animal, exotic animals, exotic species, non-native species, non-native animal, non-native animals |
| Fungal diseases | Fungal disease, mycosis, fungal infection, fungal infections, fungus infection, mycoses, mycosis infection, mycotic disease, mycotic infection, Aspergillus, aspergillosis, Candida, candidiasis, Cryptococcus, cryptococcosis, Chrysosporium anamorph of Nannizziopsis vriesii, CANV, Chrysosporium, Nannizziopsis, Paranannizziopsis, Ophidiomyces, Ophidiomycosis, snake fungal disease, yellow fungus disease |
| Pharmacodynamics Pharmacokinetics | Pharmacokinetic, disposition, absorption, bioavailability, area under the curve, half-life, elimination half-life, absorption half-life, distribution, volume of distribution, metabolism, biotransformation, excretion, elimination, clearance, drug absorption, drug distribution, drug metabolism, drug excretion, drug elimination, drug disposition, drug clearance, dosing, dosage, dosing regimen, dosage regimen, therapeutic concentrations, therapeutic drug concentration, therapeutic drug concentrations, drug concentration, drug concentrations, plasma concentration, tissue concentration, systemic availability, pharmacodynamic |
| Reptile | Reptilia, reptiles, reptilian, reptilians |
| Safety | Adverse effect, adverse effects, adverse event, adverse events, adverse reaction, toxic, toxicity, toxic events |
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