Submitted:
09 February 2025
Posted:
11 February 2025
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Abstract
Transmissible microbial agents have brought utmost short-term and long-term concern for the public health sector due to the fact that they are generally highly capable of inducing serious consequences for the integrity of whole host organisms. Recently, it was discovered that the most important reason of their increasing capability and complexity of their immunopathogenesis capabilities represents their increased abilities of evading host immunity by undergoing direct and indirect levels of molecular self-camouflaging against host Pattern-Recognition Receptor, as well as the Type I and Type III Interferon-encoding genes. Clinical researchers developed medical approaches based on fairly low dosages of Type I Interferons for prophylactic and early therapeutic purposes against major infectious diseases like SARS-CoV-2-induced COVID-19, and the results were rather promising. Furthermore, scientists detected a high extent of immunostimulatory and immunomodulatory effects that such interferon glycoproteins bring upon the rest of the immune system. Essentially, they play a foundational role in the adequate activation of the immune system if they are produced in a timely manner. A developed medical approach against Diabetes Mellitus involving the exponential increase of the bioavailability of insulin via gene insertion into genomes of bacteria inoffensive to human and animal health may constitute a highly-matching model for the development of revolutionary vaccine candidates. Specifically, it may be important to consider the existence of candidate prophylactic and early therapeutic approaches implicating the allowance of environmental spread genetically-modified transmissible microbes with inserted human or animal Type I and/or Type III Interferon-encoding, as well as Pattern Recognition Receptor agonist protein-encoding genes that are attenuated on their genetic side responsible for induced pathogenesis and maintained pathophysiology, and perhaps not as much on their genetic side responsible for microbial reproduction and transmission. Perhaps, human and animal genes encoding recently-discovered fourth class of interferon glycoprotein can also be included in the equation of microbial gene insertion. Other genes that may also be included in such a context are the ones encoding bacterial outer membrane proteins that assemble the protollin immunostimulatory agent together with bacterial lipopolysaccharides, given that protollin plays a major role in the activation of various Pattern Recognition Receptors that are known as Toll-Like Receptors and could likewise count as a Pattern Recognition Receptor agonist. In cases where there is a significant antagonistic activity against the host interferon system, at least some of the microbial genes encoding proteins with such functions may also be functionally attenuated and/or even eliminated from the microbial genome. An overall approach as such ought to occur during the first days of the autumn season, when common cold- and flu-inducing viruses only begin to spread from person to person. Moreover, a number of adenoviral vector-based prophylactic and early therapeutic vaccine candidates against infectious diseases of public health concern that may include HIV-1-induced AIDS could themselves also have such Interferon- and Pattern Recognition Receptor agonist protein-encoding genes inserted into their genome, and such a process could constitute another potential method of extensive immune preparation via a sharped sensitisation of the host cells’ interferon system. It is currently uncertain if HIV-1 genomes themselves could be transformed into self-replicating microbial factories for major natural immune elements, though such a hypothesis should not be ignored. The overall objective of such candidate approaches would be to thoroughly fill in the gap of immune evasion, which may only be possible if Type I and Type III Interferons are automatically produced and signalled to neighbouring cells and tissues by the exact time the first cells become infected. If such a candidate approach is proven to be successful, it would indicate that several pathogenic agents would start undergoing a “Reverse Evolutionary” process that could ultimately even result in their natural de-selection, due to the fact that strategic allowances of such microbes to spread in the local environments would lead to the domination of such genetically-modified microbes against wild-type microbes, and also due to the fact that the human interferon systems would become increasingly sensitised and be situated in a novel evolutionary curve of growth in relation to such microbial agents. In short, following extensive scientific and clinical research efforts, it may now be possible to create and evaluate transmissible vaccine candidates that aim to create a firm bridge between innate and adaptive immunity and that could bring widespread and unprecedentedly beneficial effects for human and animal health on a long-term basis.
Keywords:
Introduction
Discussion
Conclusions
References
- Sacchi, A., Giannessi, F., Sabatini, A., Percario, Z. A., & Affabris, E. (2023). SARS-CoV-2 Evasion of the Interferon System: Can We Restore Its Effectiveness?. International journal of molecular sciences, 24(11), 9353. [CrossRef]
- Kim, Y. M., & Shin, E. C. (2021). Type I and III interferon responses in SARS-CoV-2 infection. Experimental & molecular medicine, 53(5), 750–760. [CrossRef]
- Sallard, E., Lescure, F. X., Yazdanpanah, Y., Mentre, F., & Peiffer-Smadja, N. (2020). Type 1 interferons as a potential treatment against COVID-19. Antiviral research, 178, 104791. [CrossRef]
- Vanderheiden, A., Ralfs, P., Chirkova, T., Upadhyay, A. A., Zimmerman, M. G., Bedoya, S., Aoued, H., Tharp, G. M., Pellegrini, K. L., Manfredi, C., Sorscher, E., Mainou, B., Lobby, J. L., Kohlmeier, J. E., Lowen, A. C., Shi, P. Y., Menachery, V. D., Anderson, L. J., Grakoui, A., Bosinger, S. E., … Suthar, M. S. (2020). Type I and Type III Interferons Restrict SARS-CoV-2 Infection of Human Airway Epithelial Cultures. Journal of virology, 94(19), e00985-20. [CrossRef]
- Park, A., & Iwasaki, A. (2020). Type I and Type III Interferons - Induction, Signaling, Evasion, and Application to Combat COVID-19. Cell host & microbe, 27(6), 870–878. [CrossRef]
- Samuel C. E. (2023). Interferon at the crossroads of SARS-CoV-2 infection and COVID-19 disease. The Journal of biological chemistry, 299(8), 104960. [CrossRef]
- Darif, D., Ejghal, R., Desterke, C., Outlioua, A., Hammi, I., Lemrani, M., Hilali, F., Guessous, F., Zaid, Y., & Akarid, K. (2023). Type I and III interferons are good markers to monitor COVID-19 pathophysiology. Cytokine, 165, 156172. [CrossRef]
- Lee, J. H., Koepke, L., Kirchhoff, F., & Sparrer, K. M. J. (2023). Interferon antagonists encoded by SARS-CoV-2 at a glance. Medical microbiology and immunology, 212(2), 125–131. [CrossRef]
- Nencka, R., Silhan, J., Klima, M., Otava, T., Kocek, H., Krafcikova, P., & Boura, E. (2022). Coronaviral RNA-methyltransferases: function, structure and inhibition. Nucleic acids research, 50(2), 635–650. [CrossRef]
- Chen, Y., Su, C., Ke, M., Jin, X., Xu, L., Zhang, Z., Wu, A., Sun, Y., Yang, Z., Tien, P., Ahola, T., Liang, Y., Liu, X., & Guo, D. (2011). Biochemical and structural insights into the mechanisms of SARS coronavirus RNA ribose 2'-O-methylation by nsp16/nsp10 protein complex. PLoS pathogens, 7(10), e1002294. [CrossRef]
- Wilamowski, M., Sherrell, D. A., Minasov, G., Kim, Y., Shuvalova, L., Lavens, A., Chard, R., Maltseva, N., Jedrzejczak, R., Rosas-Lemus, M., Saint, N., Foster, I. T., Michalska, K., Satchell, K. J. F., & Joachimiak, A. (2021). 2'-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography. Proceedings of the National Academy of Sciences of the United States of America, 118(21), e2100170118. [CrossRef]
- Dangerfield, T. L., & Johnson, K. A. (2022). Substrate Specificity and Kinetics of RNA Hydrolysis by SARS-CoV-2 NSP10/14 Exonuclease. ACS bio & med chem Au, 2(6), 600–606. [CrossRef]
- Betancor G. (2023). You Shall Not Pass: MX2 Proteins Are Versatile Viral Inhibitors. Vaccines, 11(5), 930. [CrossRef]
- Hsu, A. C., Barr, I., Hansbro, P. M., & Wark, P. A. (2011). Human influenza is more effective than avian influenza at antiviral suppression in airway cells. American journal of respiratory cell and molecular biology, 44(6), 906–913. [CrossRef]
- Apostolopoulos, V., Chavda, V. P., Mehta, R., Rodriguez-Morales, A. J., Henao-MartÍnez, A. F., & Sah, R. (2024). Alert and surveillance on H5N1 influenza virus: risks to agriculture and public health. Therapeutic Advances in Infectious Disease, 11, 20499361241266521.
- Li, H., Wang, S., Guo, R., Chen, X., Huang, Y., Jia, W., & Ning, Z. (2025). Chicken C4BPM facilitates replication of H5N1 and H9N2 Avian Influenza Viruses by inhibiting the production of type I interferons. Poultry Science, 104868. [CrossRef]
- Monteagudo, P. L., Muñoz-Moreno, R., Fribourg, M., Potla, U., Mena, I., Marjanovic, N., Hartmann, B. M., Sealfon, S. C., García-Sastre, A., Ramos, I., & Fernández-Sesma, A. (2019). Differential Modulation of Innate Immune Responses in Human Primary Cells by Influenza A Viruses Carrying Human or Avian Nonstructural Protein 1. Journal of virology, 94(1), e00999-19. [CrossRef]
- Chauché, C., Nogales, A., Zhu, H., Goldfarb, D., Ahmad Shanizza, A. I., Gu, Q., Parrish, C. R., Martínez-Sobrido, L., Marshall, J. F., & Murcia, P. R. (2018). Mammalian Adaptation of an Avian Influenza A Virus Involves Stepwise Changes in NS1. Journal of virology, 92(5), e01875-17. [CrossRef]
- Ye, L., Ohnemus, A., Ong, L. C., Gad, H. H., Hartmann, R., Lycke, N., & Staeheli, P. (2019). Type I and Type III Interferons Differ in Their Adjuvant Activities for Influenza Vaccines. Journal of virology, 93(23), e01262-19. [CrossRef]
- Cao, L., Qian, W., Li, W., Ma, Z., & Xie, S. (2023). Type III interferon exerts thymic stromal lymphopoietin in mediating adaptive antiviral immune response. Frontiers in immunology, 14, 1250541. [CrossRef]
- Ye, L., Schnepf, D., Becker, J., Ebert, K., Tanriver, Y., Bernasconi, V., Gad, H. H., Hartmann, R., Lycke, N., & Staeheli, P. (2019). Interferon-λ enhances adaptive mucosal immunity by boosting release of thymic stromal lymphopoietin. Nature immunology, 20(5), 593–601. [CrossRef]
- Stanifer, M. L., Guo, C., Doldan, P., & Boulant, S. (2020). Importance of Type I and III Interferons at Respiratory and Intestinal Barrier Surfaces. Frontiers in immunology, 11, 608645. [CrossRef]
- Su J. (2022). The discovery of type IV interferon system revolutionizes interferon family and opens up a new frontier in jawed vertebrate immune defense. Science China. Life sciences, 65(11), 2335–2337. [CrossRef]
- Chen, S. N., Gan, Z., Hou, J., Yang, Y. C., Huang, L., Huang, B., Wang, S., & Nie, P. (2022). Identification and establishment of type IV interferon and the characterization of interferon-υ including its class II cytokine receptors IFN-υR1 and IL-10R2. Nature communications, 13(1), 999. [CrossRef]
- Tovey, M. G., Lallemand, C., & Thyphronitis, G. (2008). Adjuvant activity of type I interferons. Biological chemistry, 389(5), 541–545. [CrossRef]
- Bracci, L., La Sorsa, V., Belardelli, F., & Proietti, E. (2008). Type I interferons as vaccine adjuvants against infectious diseases and cancer. Expert review of vaccines, 7(3), 373–381. [CrossRef]
- Rowe, T., Fletcher, A., Svoboda, P., Pohl, J., Hatta, Y., Jasso, G., Wentworth, D. E., & Ross, T. M. (2024). Interferon as an immunoadjuvant to enhance antibodies following influenza B infection and vaccination in ferrets. NPJ vaccines, 9(1), 199. [CrossRef]
- Li, Q., Sun, B., Zhuo, Y., Jiang, Z., Li, R., Lin, C., Jin, Y., Gao, Y., & Wang, D. (2022). Interferon and interferon-stimulated genes in HBV treatment. Frontiers in immunology, 13, 1034968. [CrossRef]
- Wang, Y. X., Niklasch, M., Liu, T., Wang, Y., Shi, B., Yuan, W., Baumert, T. F., Yuan, Z., Tong, S., Nassal, M., & Wen, Y. M. (2020). Interferon-inducible MX2 is a host restriction factor of hepatitis B virus replication. Journal of hepatology, 72(5), 865–876. [CrossRef]
- Yang, S., Lin, Q., Lin, W., Hu, W., & Wang, G. (2016). Effect of adjuvant interferon therapy on hepatitis B virus-related hepatocellular carcinoma: a systematic review. World Journal of Surgical Oncology, 14, 1-8. [CrossRef]
- Kirkwood, J. M., Strawderman, M. H., Ernstoff, M. S., Smith, T. J., Borden, E. C., & Blum, R. H. (1996). Interferon alfa-2b adjuvant therapy of high-risk resected cutaneous melanoma: the Eastern Cooperative Oncology Group Trial EST 1684. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 14(1), 7–17. [CrossRef]
- Letvin, N. L. (2002). Strategies for an HIV vaccine. The Journal of clinical investigation, 110(1), 15-27. [CrossRef]
- D'Souza, M. P., & Yang, O. O. (2015). Adenovirus vectors as HIV-1 vaccines: where are we? What next?. AIDS, 29(4), 395-400. [CrossRef]
- Barouch, D. H., & Picker, L. J. (2017). Novel vaccine vectors for HIV-1 (vol 12, pg 765, 2014). NATURE REVIEWS MICROBIOLOGY, 15(11), 696-696. [CrossRef]
- Coccia, E. M., Krust, B., & Hovanessian, A. G. (1994). Specific inhibition of viral protein synthesis in HIV-infected cells in response to interferon treatment. Journal of Biological Chemistry, 269(37), 23087-23094. [CrossRef]
- Noel, N., Jacquelin, B., Huot, N., Goujard, C., Lambotte, O., & Müller-Trutwin, M. (2018). Interferon-associated therapies toward HIV control: the back and forth. Cytokine & Growth Factor Reviews, 40, 99-112. [CrossRef]
- Rivero-Juárez, A., Frias, M., & Rivero, A. (2016). Current views on interferon therapy for HIV. Expert opinion on biological therapy, 16(9), 1135-1142. [CrossRef]
- Fries, L. F., Montemarano, A. D., Mallett, C. P., Taylor, D. N., Hale, T. L., & Lowell, G. H. (2001). Safety and immunogenicity of a proteosome-Shigella flexneri 2a lipopolysaccharide vaccine administered intranasally to healthy adults. Infection and immunity, 69(7), 4545–4553. [CrossRef]
- Frenkel, D., Puckett, L., Petrovic, S., Xia, W., Chen, G., Vega, J., Dembinsky-Vaknin, A., Shen, J., Plante, M., Burt, D. S., & Weiner, H. L. (2008). A nasal proteosome adjuvant activates microglia and prevents amyloid deposition. Annals of neurology, 63(5), 591–601. [CrossRef]
- Frenkel, D., Maron, R., Burt, D. S., & Weiner, H. L. (2005). Nasal vaccination with a proteosome-based adjuvant and glatiramer acetate clears beta-amyloid in a mouse model of Alzheimer disease. The Journal of clinical investigation, 115(9), 2423–2433. [CrossRef]
- Frenkel, D., Wilkinson, K., Zhao, L., Hickman, S. E., Means, T. K., Puckett, L., Farfara, D., Kingery, N. D., Weiner, H. L., & El Khoury, J. (2013). Scara1 deficiency impairs clearance of soluble amyloid-β by mononuclear phagocytes and accelerates Alzheimer's-like disease progression. Nature communications, 4, 2030. [CrossRef]
- Blevins, S. M., & Bronze, M. S. (2010). Robert Koch and the 'golden age' of bacteriology. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 14(9), e744–e751. [CrossRef]
- Hryhorowicz, M., Lipiński, D., Zeyland, J., & Słomski, R. (2017). CRISPR/Cas9 Immune System as a Tool for Genome Engineering. Archivum immunologiae et therapiae experimentalis, 65(3), 233–240. [CrossRef]
- Grenier, F., Lucier, J. F., & Rodrigue, S. (2015). Selection and Validation of Spacer Sequences for CRISPR-Cas9 Genome Editing and Transcription Regulation in Bacteria. Methods in molecular biology (Clifton, N.J.), 1334, 233–244. [CrossRef]
- Lee, M. H., Thomas, J. L., Lin, C. Y., Li, Y. E., & Lin, H. Y. (2023). Activation of Insulin Gene Expression via Transfection of a CRISPR/dCas9a System Using Magnetic Peptide-Imprinted Nanoparticles. Pharmaceutics, 15(4), 1311. [CrossRef]
- Sonnenborn, U. (2016). Escherichia coli strain Nissle 1917—from bench to bedside and back: history of a special Escherichia coli strain with probiotic properties. FEMS microbiology letters, 363(19), fnw212. [CrossRef]
- Cheng, Y., Wang, H., & Li, M. (2023). The promise of CRISPR/Cas9 technology in diabetes mellitus therapy: How gene editing is revolutionizing diabetes research and treatment. Journal of Diabetes and its Complications, 37(8), 108524. [CrossRef]
- Blake, J. D., & Cohen, F. E. (2001). Pairwise sequence alignment below the twilight zone. Journal of molecular biology, 307(2), 721–735. [CrossRef]
- Edgar R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic acids research, 32(5), 1792–1797. [CrossRef]
- Koyama, T., Platt, D., & Parida, L. (2020). Variant analysis of SARS-CoV-2 genomes. Bulletin of the World Health Organization, 98(7), 495–504. [CrossRef]
- Gong, Y. N., Tsao, K. C., Hsiao, M. J., Huang, C. G., Huang, P. N., Huang, P. W., Lee, K. M., Liu, Y. C., Yang, S. L., Kuo, R. L., Chen, K. F., Liu, Y. C., Huang, S. Y., Huang, H. I., Liu, M. T., Yang, J. R., Chiu, C. H., Yang, C. T., Chen, G. W., & Shih, S. R. (2020). SARS-CoV-2 genomic surveillance in Taiwan revealed novel ORF8-deletion mutant and clade possibly associated with infections in Middle East. Emerging microbes & infections, 9(1), 1457–1466. [CrossRef]
- Norsigian, C. J., Pusarla, N., McConn, J. L., Yurkovich, J. T., Dräger, A., Palsson, B. O., & King, Z. (2020). BiGG Models 2020: multi-strain genome-scale models and expansion across the phylogenetic tree. Nucleic acids research, 48(D1), D402–D406. [CrossRef]
- Bernardini, G., van Iersel, L., Julien, E., & Stougie, L. (2024). Inferring phylogenetic networks from multifurcating trees via cherry picking and machine learning. Molecular phylogenetics and evolution, 199, 108137. [CrossRef]
- Hou, X., He, Y., Fang, P., Mei, S. Q., Xu, Z., Wu, W. C., Tian, J. H., Zhang, S., Zeng, Z. Y., Gou, Q. Y., Xin, G. Y., Le, S. J., Xia, Y. Y., Zhou, Y. L., Hui, F. M., Pan, Y. F., Eden, J. S., Yang, Z. H., Han, C., Shu, Y. L., … Shi, M. (2024). Using artificial intelligence to document the hidden RNA virosphere. Cell, 187(24), 6929–6942.e16. [CrossRef]
- Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Molecular diversity, 25(3), 1315–1360. [CrossRef]
- Zhu H. (2020). Big Data and Artificial Intelligence Modeling for Drug Discovery. Annual review of pharmacology and toxicology, 60, 573–589. [CrossRef]
- Orel, A., & Bernik, I. (2018). GDPR and Health Personal Data; Tricks and Traps of Compliance. Studies in health technology and informatics, 255, 155–159.
- Chassang G. (2017). The impact of the EU general data protection regulation on scientific research. Ecancermedicalscience, 11, 709. [CrossRef]
- Chabot, S., Brewer, A., Lowell, G., Plante, M., Cyr, S., Burt, D. S., & Ward, B. J. (2005). A novel intranasal Protollin-based measles vaccine induces mucosal and systemic neutralizing antibody responses and cell-mediated immunity in mice. Vaccine, 23(11), 1374–1383. [CrossRef]
- Jones, T., Cyr, S., Allard, F., Bellerose, N., Lowell, G. H., & Burt, D. S. (2004). Protollin: a novel adjuvant for intranasal vaccines. Vaccine, 22(27-28), 3691–3697. [CrossRef]
- Jones, T., Adamovicz, J. J., Cyr, S. L., Bolt, C. R., Bellerose, N., Pitt, L. M.,... & Burt, D. S. (2006). Intranasal Protollin™/F1-V vaccine elicits respiratory and serum antibody responses and protects mice against lethal aerosolized plague infection. Vaccine, 24(10), 1625-1632. [CrossRef]
- Biacchesi, S., Mérour, E., Lamoureux, A., Bernard, J., & Brémont, M. (2012). Both STING and MAVS fish orthologs contribute to the induction of interferon mediated by RIG-I. PloS one, 7(10), e47737. [CrossRef]
- Biacchesi, S., LeBerre, M., Lamoureux, A., Louise, Y., Lauret, E., Boudinot, P., & Brémont, M. (2009). Mitochondrial antiviral signaling protein plays a major role in induction of the fish innate immune response against RNA and DNA viruses. Journal of virology, 83(16), 7815–7827. [CrossRef]
- Torices, S., Moreno, T., Ramaswamy, S., Naranjo, O., Teglas, T., Osborne, O. M., Park, M., Sun, E., & Toborek, M. (2024). MITOCHONDRIAL ANTIVIRAL PATHWAYS CONTROL ANTI-HIV RESPONSES AND ISCHEMIC STROKE OUTCOMES VIA THE RIG-1 SIGNALING AND INNATE IMMUNITY MECHANISMS. bioRxiv : the preprint server for biology, 2024.06.07.598027. [CrossRef]
- Carp, T. N., Metoudi, M., & Ojha, V. (2024, June). Infection-Simulator, Immunostimulatory and Immunomodulatory Effects of Interferons I and III in Biological Systems: A New Era in Vaccinology and Therapeutics Possible?. Preprints. [CrossRef]
- Carp, T. N. (2025). Turning Pathogens into Vaccines via Loss-of-Function Research and Interferon Gene Insertion: Trampling Death by Death?. [CrossRef]
- Carp, T. N. (2024). Potential Applications of Computerised Algorithms and Implementation of AI Models into Microbiological, Evolutionary and Pharmaceutical Research. Preprints. [CrossRef]
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