Literature DB >> 34912729

Editorial: Unconventional Animal Models in Infectious Disease Research - Part I.

Nadin Younes1, Gheyath K Nasrallah1,2.   

Abstract

Entities:  

Keywords:  animal model; host-pathogen interactions,; infectious disease,; therapeutic agents,; vaccines,

Year:  2021        PMID: 34912729      PMCID: PMC8668038          DOI: 10.3389/fcimb.2021.759621

Source DB:  PubMed          Journal:  Front Cell Infect Microbiol        ISSN: 2235-2988            Impact factor:   5.293


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The multiplicity of host-pathogen interactions associated with infectious diseases frequently necessitate the use of a complicated biological system. Therefore, animal models have contributed substantially to unraveling the physiopathology of infectious diseases. The feasibility to manipulate different animal models aids in (i) discovering the role of host or microbial factors in the infection pathogenesis, (ii) understanding different mechanisms of tissue invasion, host defense, pathogen dissemination. This Research Topic, which includes 8 high-quality research papers (7 original research articles, and 1 review), sheds the light on the use of unconventional model as a platform for advancement in infectious disease research and address novel ground-breaking findings in host-pathogen interaction studies, which paved the way for discovering new therapeutic targets and vaccine development. The most important findings are summarized in .
Table 1

Summary for the outcomes of all accepted articles in this special issue.

Study typeOrganism NameAnimal ModelAimMethods of assessment ConclusionReference
Original articleDTMUV virusDuckTo study the role of autophagy in facilitating DTMUV replication “in vivo• Western blot (WB)• Hematoxylin and eosin staining• Immunohistochemistry• RT-PCR• DTMUV trigged autophagy, which facilitates its replication inside the cells and induces pathological symptoms Hu et al.
Original articleDEV virusDuckTo elucidate the roles of US1 and its NLS in DEV replication “in vivo• RT-PCR• WB• Immunofluorescence assay• The DEV US1 ORF is 990 bp• Molecular mass of the ICP22 protein is ~57 kDa• ICP22 contains a classical NLS at 305-312AA that is essential for its localization to the nucleus• DEV US1 is non-essential for host infection but associated with a severe growth deficit in vitro. Li et al.
Original article M. fortuitum ZebrafishTo study the disease pathogenesis of M. fortuitum infections• Creation of fluorescent M. fortuitum • Morpholino Injection and CFTR Knockdown• Zebrafish Microinjection and Infection• Zebrafish live imaging• Zebrafish embryos form granulomas as early as 2 days post-infection• Transient macrophage depletion in zebrafish led to rapid embryo death with increased bacterial extracellular cord formation Johansen and Kremer
Original article G. mellonella larvae S. aureus To study the function of sRNAs during S. aureus infection “in vivo• Bacterial growth in the larvae• Immunohistochemistry• Bacterial isolation and RNA extraction• Monitoring RNA expression levels• G. mellonella larvae is a suitable model to study sRNA-mediated pathogenesis in S. aureus • sprD and sprC increased during infection and associated with mortality• rnaIII expression remained barely detectable over time Ménard et al.
Original article P.berghei A.gambiae Study the function of CLIPB10 in protease cascades “in vivo” using A. gambiae as a model• RT-PCR• Activation of recombinant zymogens• Substrate screening of active CLIPB10Xa • MALDI-TOF MS Analysis• proPO plays an essential role in the cuticular melanization in insects• CLIPB10 is required for the melanization of ookinete stages of the rodent malaria parasite P. berghei. • Recombinant serpin 2 protein formed a stable protein complex with CLIPB10 protein Zhang et al.
Original article C. elegans E. faecium To analyze a panel of lab strains of E. faecium with deletions of targeted virulence factor “in vivo” using C. elegans as a model• C. elegans - Enterococcus pathogenesis assays• Colony forming unit assay• Genomic analysis• Microscopy• RNA interference protocol• C. elegans is a high throughput infection model for studying the pathogensis of E. facium • Removal of certain virulence factors (e.g., Δfms15) was sufficient to affect the virulence of E. faecium • Multiple deletions were required to affect pathogenesis, suggesting that host-pathogen interactions are multifactorial. Revtovich et al.
Original articleMouse Helicobacter, Clostridium, Lactobacillus, Klebsiella, Rodentibacter and Enterococcus To study the effect of Autoinducer-2 on the process of necrotizing enterocolitis mouse model• Histology• Immunohistochemistry• Mouse Intestinal Content Acquisition and AI-2 Activity Measurement• Fecal sample microbiota analysisELISART-PCR-WB• The AI-2 level was significantly decreased in the NEC group• In the NA (NEC + AI-2) group; the intestinal injury scores, expression of TLR4, NF-kB, and proinflammatory factors were reduced, and expression of anti-inflammatory factor was increased compared to NEC group• At the phylum level, the Proteobacteria abundance in the NA group was significantly increased.• At the genus level, Helicobacter and Clostridium exhibited significantly greater abundance in the NEC group compared to the other two groups Ji et al.
ReviewDrosophilaDifferent pathogensGaining proper insight into host–pathogen interactions using drosophila as a model• Not applicable• In vivo drosophila studies enabled the identification of humoral and cell-mediated host defense factors against a wide array of intracellular and extracellular pathogens Younes et al.
Summary for the outcomes of all accepted articles in this special issue. The first article focused on the role of autophagy during duck tembusu virus (DTMUV) infection using duck as a model (Hu et al.). The authors used two drugs as autophagy regulators, which are rapamycin (autophagy enhancer) and methyladenine and chloroquine (autophagy inhibitor). They discovered that DTMUV infection triggered autophagy in duck’s spleen and brain. They also demonstrated that the autophagy inhibitors suppressed DTMUV replication and reduced DTMUV-induced pathogenic symptoms. They concluded that autophagic regulation was linked to the expression of innate immunity genes such as the pattern recognition receptors, type I interferons, and cytokines. The second article also utilized ducks to study the role of DEV ICP22 protein in duck enteritis virus (DEV) (Li et al.). DEV duplicate US1 genes encode a DEV ICP22 protein. The authors reported that ICP22 protein, molecular mass of 57 kDa, can enter the nucleus by itself using conventional NLS motif. However, DEV ICP22 protein cannot enter the nucleus after mutating amino acid 309R, demonstrating that this amino acid is the crucial residue for ICP22 localization. Most importantly, they concluded that the DEV ICP22 protein is a non-essential immediate-early protein primarily found in the nucleus of infected duck-embryo-fibroblasts (DEF) cells and that US1 deletion can hamper DEV replication. Johansen and Kremer were able to show that zebrafish embryos are susceptible to M. fortuitum infection in a dose-dependent manner. Interestingly, they showed that M. fortuitum was able to form granulomas in embryos as early as 2 days post-infection. In addition, they noticed that transient macrophage depletion led to rapid embryo death. Interestingly, they reported that the depletion of cystic fibrosis transmembrane conductance regulator (CFTR) in zebrafish by morpholino significantly increased the mortality rate, bacterial burden, and abscess formation. This is consistent with previous studies showing that CFTR expression on both innate and adaptive immune cells contributes to immunological dysfunction in cystic fibrosis (CF) (Hu et al.; Johansen and Kremer; Li et al.; Sermet-Gaudelus et al., 2003; Bruscia et al., 2009; Bonfield et al., 2012; Richards and Olivier, 2019). Insect models proved to be very valuable for infectious diseases studies. Ménard et al., developed a non-mammalian infection model using larval G. mellonella to investigate the function of small regulatory RNAs (sRNAs) during S. aureus infection. The authors collected total RNA from S. aureus at several time points during the infection. They concluded that the expression patterns of the examined sRNAs were distinct and fluctuated over time, with small pathogenicity island RNA D (sprD) and small pathogenicity island RNA C (sprC) expression increasing during infection and correlated with larval death. In addition, they found out that when either sprD or sprC is deleted, the decline in insect death rates is delayed. The findings of Ménard et al. shed lights on the usefulness of G. mellonella as an infection model to investigate all 50 bona fide sRNAs known to be expressed by S. aureus. Zhang et al., also utilized insects as a model to study the function of CLIPB10 in protease cascades “in vivo”. Activation of prophenoxidase (proPO), a form of immune system regulation, leads to the formation of eumelanin on foreign microorganisms. ProPO activation is tightly controlled by different mechanisms including clip domain serine proteases (CLIPs), proteolytically inactive homologs, and serpin inhibitors. The authors studied the function of the CLIPB10 in Anopheles gambiae, which is the most common malaria vector in Sub-Saharan Africa. They reported that CLIPB10 was required for the melanization of ookinete stages of Plasmodium berghei. In addition, recombinant serpin 2 protein, a key inhibitor of the proPO activation cascade, efficiently inhibited CLIPB10 activity in vitro. The authors concluded that CLIPB10 along with CLIPB9 plays a critical role as the second protease with prophenoloxidase-activating function in A. gambiae suggesting functional redundancy in the protease network that controls melanization. Studying enterococcal pathogenesis generally requires vertebrates’ models, making them slow, expensive, and ethically problematic (Weiner et al., 2016). Therefore, Revtovich et al., developed the first high-throughput Caenorhabditis elegans infection model. They successfully showed that E. faecium could effectively invade and colonize the intestine of C. elegans and elicit an immunological response. They used this model to examine a panel of lab strains with targeted virulence factor deletions. Although deletion of a single virulent factor such as Δfms15 was sufficient to affect virulence, multiple deletions were generally necessary to alter the pathogenesis, implying that host-pathogen interactions are multifactorial. Autoinducer-2 (AI-2) is thought to be a bacterial interspecies signaling molecule that plays an important role in the physiological behaviors of bacteria. Ji et al., studied the role of AI-2 in Necrotizing enterocolitis (NEC) mouse model. They randomly divided C57BL/6 mice into three groups: control, NEC, and NEC+AI-2 (NA). They reported that AI-2 significantly decreased in the NEC group. In addition, the intestinal injury scores, expression of TLR4, NF‐kB, and proinflammatory factors were reduced in the NA group, whereas the expression of anti-inflammatory factors was increased in the NA group. They concluded that AI-2 partially reverses flora disorder and decreases inflammation in an NEC mouse model. Younes et al., review discussed the use of drosophila in host–pathogen interaction research. Drosophila has recently gained a lot of attention due to the evolutionarily conserved features with higher vertebrates, such as cascades of the innate immune, pathways of signal transduction, and transcriptional regulators. The versatility, low cost, affordable maintenance, short life cycle, high fecundity, well-characterized genome made drosophila one of the most powerful model species (Younes et al.).

Author Contributions

NY: drafted the editorial. GN: designed the work, revised the editorial critically for important intellectual content and provided final approval of the version to be published. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  5 in total

1.  Antimicrobial-Resistant Pathogens Associated With Healthcare-Associated Infections: Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2011-2014.

Authors:  Lindsey M Weiner; Amy K Webb; Brandi Limbago; Margaret A Dudeck; Jean Patel; Alexander J Kallen; Jonathan R Edwards; Dawn M Sievert
Journal:  Infect Control Hosp Epidemiol       Date:  2016-08-30       Impact factor: 3.254

2.  Macrophages directly contribute to the exaggerated inflammatory response in cystic fibrosis transmembrane conductance regulator-/- mice.

Authors:  Emanuela M Bruscia; Ping-Xia Zhang; Elisa Ferreira; Christina Caputo; John W Emerson; David Tuck; Diane S Krause; Marie E Egan
Journal:  Am J Respir Cell Mol Biol       Date:  2008-09-05       Impact factor: 6.914

3.  Absence of the cystic fibrosis transmembrane regulator (Cftr) from myeloid-derived cells slows resolution of inflammation and infection.

Authors:  T L Bonfield; C A Hodges; C U Cotton; M L Drumm
Journal:  J Leukoc Biol       Date:  2012-08-02       Impact factor: 4.962

4.  Nontuberculous Mycobacteria in Cystic Fibrosis.

Authors:  Christopher J Richards; Kenneth N Olivier
Journal:  Semin Respir Crit Care Med       Date:  2019-10-28       Impact factor: 3.119

5.  Mycobacterium abscessus and children with cystic fibrosis.

Authors:  Isabelle Sermet-Gaudelus; Muriel Le Bourgeois; Catherine Pierre-Audigier; Catherine Offredo; Didier Guillemot; Sophie Halley; Chantal Akoua-Koffi; Véronique Vincent; Valérie Sivadon-Tardy; Agnès Ferroni; Patrick Berche; Pierre Scheinmann; Gérard Lenoir; Jean-Louis Gaillard
Journal:  Emerg Infect Dis       Date:  2003-12       Impact factor: 6.883

  5 in total

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