Modelling the Innate Immune Response against Avian Influenza Virus in Chicken

At present there is limited understanding of the host immune response to (low pathogenic) avian influenza virus infections in poultry. Here we develop a mathematical model for the innate immune response to avian influenza virus in chicken lung, describing the dynamics of viral load, interferon-α, -β and -γ, lung (i.e. pulmonary) cells and Natural Killer cells. We use recent results from experimentally infected chickens to validate some of the model predictions. The model includes an initial exponential increase of the viral load, which we show to be consistent with experimental data. Using this exponential growth model we show that the duration until a given viral load is reached in experiments with different inoculation doses is consistent with a model assuming a linear relationship between initial viral load and inoculation dose. Subsequent to the exponential-growth phase, the model results show a decline in viral load caused by both target-cell limitation as well as the innate immune response. The model results suggest that the temporal viral load pattern in the lungs displayed in experimental data cannot be explained by target-cell limitation alone. For biologically plausible parameter values the model is able to qualitatively match to data on viral load in chicken lungs up until approximately 4 days post infection. Comparison of model predictions with data on CD107-mediated degranulation of Natural Killer cells yields some discrepancy also for earlier days post infection

Identification of Novel Avian Influenza Virus Derived CD8+ T-Cell Epitopes

Avian influenza virus (AIV) infection is a continuing threat to both humans and poultry. Influenza virus specific CD8+ T cells are associated with protection against homologous and heterologous influenza strains. In contrast to what has been described for humans and mice, knowledge on epitope-specific CD8+ T cells in chickens is limited. Therefore, we set out to identify AIV-specific CD8+ T-cell epitopes. Epitope predictions based on anchor residues resulted in 33 candidate epitopes. MHC I inbred chickens were infected with a low pathogenic AIV strain and sacrificed at 5, 7, 10 and 14 days post infection (dpi). Lymphocytes isolated from lung, spleen and blood were stimulated ex vivo with AIV-specific pooled or individual peptides and the production of IFNγ was determined by ELIspot. This resulted in the identification of 12 MHC B12-restricted, 3 B4-restricted and 1 B19-restricted AIV- specific CD8+ T-cell epitopes. In conclusion, we have identified novel AIV-derived CD8+ T-cell epitopes for several inbred chicken strains. This knowledge can be used to study the role of CD8+ T cells against AIV infection in a natural host for influenza, and may be important for vaccine development

Highly multiplexed quantitative PCR-based platform for evaluation of chicken immune responses

To address the need for sensitive high-throughput assays to analyse avian innate and adaptive immune responses, we developed and validated a highly multiplexed qPCR 96.96 Fluidigm Dynamic Array to analyse the transcription of chicken immune-related genes. This microfluidic system permits the simultaneous analysis of expression of 96 transcripts in 96 samples in 6 nanolitre reactions and the 9,216 reactions are ready for interpretation immediately. A panel of 89 genes was selected from an RNA-seq analysis of the transcriptional response of chicken macrophages, dendritic cells and heterophils to agonists of innate immunity and from published transcriptome data. Assays were confirmed to be highly specific by amplicon sequencing and melting curve analysis and the reverse transcription and preamplification steps were optimised. The array was applied to RNA of various tissues from a commercial line of broiler chickens housed at two different levels of biosecurity. Gut-associated lymphoid tissues, bursa, spleen and peripheral blood leukocytes were isolated and transcript levels for immune-related genes were defined. The results identified blood cells as a potentially reliable indicator of immune responses among all the tissues tested with the highest number of genes significantly differentially transcribed between birds housed under varying biosecurity levels. Conventional qPCR analysis of three differentially transcribed genes confirmed the results from the multiplex qPCR array. A highly multiplexed qPCR-based platform for evaluation of chicken immune responses has been optimised and validated using samples from commercial chickens. Apart from applications in selective breeding programmes, the array could be used to analyse the complex interplay between the avian immune system and pathogens by including pathogen-specific probes, to screen vaccine responses, and as a predictive tool for immune robustness

Pharmacokinetics and Pharmacodynamics of Antibacterials, Antifungals, and Antivirals Used Most Frequently in Neonates and Infants

Antimicrobials and antivirals are widely used in young infants and neonates. These patients have historically been largely excluded from clinical trials and, as a consequence, the pharmacokinetics and pharmacodynamics of commonly used antibacterials, antifungals, and antivirals are incompletely understood in this population. This review summarizes the current literature specific to neonates and infants regarding pharmacokinetic parameters and changes in neonatal development that affect antimicrobial and antiviral pharmacodynamics. Specific drug classes addressed include aminoglycosides, aminopenicillins, cephalosporins, glycopeptides, azole antifungals, echinocandins, polyenes, and guanosine analogs. Within each drug class, the pharmacodynamics, pharmacokinetics, and clinical implications and future directions for prototypical agents are discussed. β-Lactam antibacterial activity is maximized when the plasma concentration exceeds the minimum inhibitory concentration for a prolonged period, suggesting that more frequent dosing may optimize β-lactam therapy. Aminoglycosides are typically administered at longer intervals with larger doses in order to maximize exposure (i.e., area under the plasma concentration–time curve) with gestational age and weight strongly influencing the pharmacokinetic profile. Nonetheless, safety concerns necessitate therapeutic drug monitoring across the entire neonatal and young infant spectrum. Vancomycin, representing the glycopeptide class of antibacterials, has a long history of clinical utility, yet there is still uncertainty about the optimal pharmacodynamic index in neonates and young infants. The high degree of pharmacokinetic variability in this population makes therapeutic drug monitoring essential to ensure adequate therapeutic exposure. Among neonates treated with the triazole agent fluconazole, it has been speculated that loading doses may improve pharmacodynamic target attainment rates. The use of voriconazole necessitates therapeutic drug monitoring and dose adjustments for patients with hepatic dysfunction. Neonates treated with lipid-based formulations of the polyene amphotericin B may be at an increased risk of death, such that alternative antifungal agents should be considered for neonates with invasive fungal infections. Alternative antifungal agents such as micafungin and caspofungin also exhibit unique pharmacokinetic considerations in this population. Neonates rapidly eliminate micafungin and require nearly three times the normal adult dose to achieve comparable levels of systemic exposure. Conversely, peak caspofungin concentrations have been reported to be similar among neonates and adults. However, both of these drugs feature favorable safety profiles. Recent studies with acyclovir have suggested that current dosing regimens may not result in therapeutic central nervous system concentrations and more frequent dosing may be required for neonates at later postmenstrual ages. Though ganciclovir and valganciclovir demonstrate excellent activity against cytomegalovirus, they are associated with significant neutropenia. In summary, many pharmacokinetic and pharmacodynamic studies have been conducted in this vulnerable population; however, there are also substantial gaps in our knowledge that require further investigation. These studies will be invaluable in determining optimal neonatal dosing regimens that have the potential to improve clinical outcomes and decrease adverse effects associated with antimicrobial and antiviral treatments