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A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens
is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on reverse vaccinology and subtractive proteomics-based approach to predict potential vaccine candidates against . We analy...
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Published in: | Frontiers in immunology 2022-03, Vol.13, p.768569 |
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description | is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on reverse vaccinology and subtractive proteomics-based approach to predict potential vaccine candidates against
. We analyzed the complete proteome sequence of 49 isolate of
and identified 5 that were conserved proteins, non-homologous from human and gut flora, extracellular or exported to the outer membrane, and antigenic. The identified proteins were used to select 5 CTL, 12 HTL, and 12 BCL epitopes antigenic, non-allergenic, conserved, hydrophilic, and non-toxic. In addition, HTL epitopes were able to induce interferon-gamma immune response. The selected peptides were used to design 4 multi-epitope vaccines constructs (SMV1, SMV2, SMV3 and SMV4) with immune-modulating adjuvants, PADRE sequence, and linkers. Peptide cleavage analysis showed that antigen vaccines are processed and presented
of MHC class molecule. Several physiochemical and immunological analyses revealed that all multiepitope vaccines were non-allergenic, stable, hydrophilic, and soluble and induced the immunity with high antigenicity. The secondary structure analysis revealed the designed vaccines contain mainly coil structure and alpha helix structures. 3D analyses showed high-quality structure. Molecular docking analyses revealed SMV4 as the best vaccine construct among the four constructed vaccines, demonstrating high affinity with the immune receptor. Molecular dynamics simulation confirmed the low deformability and stability of the vaccine candidate. Discontinuous epitope residues analyses of SMV4 revealed that they are flexible and can interact with antibodies. In silico immune simulation indicated that the designed SMV4 vaccine triggers an effective immune response. In silico codon optimization and cloning in expression vector indicate that SMV4 vaccine can be efficiently expressed in
system. Overall, we showed that SMV4 multi-epitope vaccine successfully elicited antigen-specific humoral and cellular immune responses and may be a potential vaccine candidate against
. Further experimental validations could confirm its exact efficacy, the safety and immunogenicity profile. Our findings bring a valuable addition to the development of new strategies to prevent and control the spread of multidrug-resistant Gram-negative bacteria with high clinical relevance. |
doi_str_mv | 10.3389/fimmu.2022.768569 |
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. We analyzed the complete proteome sequence of 49 isolate of
and identified 5 that were conserved proteins, non-homologous from human and gut flora, extracellular or exported to the outer membrane, and antigenic. The identified proteins were used to select 5 CTL, 12 HTL, and 12 BCL epitopes antigenic, non-allergenic, conserved, hydrophilic, and non-toxic. In addition, HTL epitopes were able to induce interferon-gamma immune response. The selected peptides were used to design 4 multi-epitope vaccines constructs (SMV1, SMV2, SMV3 and SMV4) with immune-modulating adjuvants, PADRE sequence, and linkers. Peptide cleavage analysis showed that antigen vaccines are processed and presented
of MHC class molecule. Several physiochemical and immunological analyses revealed that all multiepitope vaccines were non-allergenic, stable, hydrophilic, and soluble and induced the immunity with high antigenicity. The secondary structure analysis revealed the designed vaccines contain mainly coil structure and alpha helix structures. 3D analyses showed high-quality structure. Molecular docking analyses revealed SMV4 as the best vaccine construct among the four constructed vaccines, demonstrating high affinity with the immune receptor. Molecular dynamics simulation confirmed the low deformability and stability of the vaccine candidate. Discontinuous epitope residues analyses of SMV4 revealed that they are flexible and can interact with antibodies. In silico immune simulation indicated that the designed SMV4 vaccine triggers an effective immune response. In silico codon optimization and cloning in expression vector indicate that SMV4 vaccine can be efficiently expressed in
system. Overall, we showed that SMV4 multi-epitope vaccine successfully elicited antigen-specific humoral and cellular immune responses and may be a potential vaccine candidate against
. Further experimental validations could confirm its exact efficacy, the safety and immunogenicity profile. Our findings bring a valuable addition to the development of new strategies to prevent and control the spread of multidrug-resistant Gram-negative bacteria with high clinical relevance.</description><identifier>ISSN: 1664-3224</identifier><identifier>EISSN: 1664-3224</identifier><identifier>DOI: 10.3389/fimmu.2022.768569</identifier><identifier>PMID: 35371033</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>computational approaches ; Epitopes, B-Lymphocyte ; Epitopes, T-Lymphocyte ; Escherichia coli ; Humans ; Immunology ; Molecular Docking Simulation ; multidrug resistance ; reverse vaccinology ; Serratia marcescens ; subtractive proteomics ; Vaccines, Subunit</subject><ispartof>Frontiers in immunology, 2022-03, Vol.13, p.768569</ispartof><rights>Copyright © 2022 Damas, Mazur, Freire, Cunha and Pranchevicius.</rights><rights>Copyright © 2022 Damas, Mazur, Freire, Cunha and Pranchevicius 2022 Damas, Mazur, Freire, Cunha and Pranchevicius</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-f5ed8f00f84c444300270c3c417d5669bc42efac29314676fd230cda9d8d9adb3</citedby><cites>FETCH-LOGICAL-c465t-f5ed8f00f84c444300270c3c417d5669bc42efac29314676fd230cda9d8d9adb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967166/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967166/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35371033$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Damas, Marcelo Silva Folhas</creatorcontrib><creatorcontrib>Mazur, Fernando Gabriel</creatorcontrib><creatorcontrib>Freire, Caio Cesar de Melo</creatorcontrib><creatorcontrib>da Cunha, Anderson Ferreira</creatorcontrib><creatorcontrib>Pranchevicius, Maria-Cristina da Silva</creatorcontrib><title>A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens</title><title>Frontiers in immunology</title><addtitle>Front Immunol</addtitle><description>is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on reverse vaccinology and subtractive proteomics-based approach to predict potential vaccine candidates against
. We analyzed the complete proteome sequence of 49 isolate of
and identified 5 that were conserved proteins, non-homologous from human and gut flora, extracellular or exported to the outer membrane, and antigenic. The identified proteins were used to select 5 CTL, 12 HTL, and 12 BCL epitopes antigenic, non-allergenic, conserved, hydrophilic, and non-toxic. In addition, HTL epitopes were able to induce interferon-gamma immune response. The selected peptides were used to design 4 multi-epitope vaccines constructs (SMV1, SMV2, SMV3 and SMV4) with immune-modulating adjuvants, PADRE sequence, and linkers. Peptide cleavage analysis showed that antigen vaccines are processed and presented
of MHC class molecule. Several physiochemical and immunological analyses revealed that all multiepitope vaccines were non-allergenic, stable, hydrophilic, and soluble and induced the immunity with high antigenicity. The secondary structure analysis revealed the designed vaccines contain mainly coil structure and alpha helix structures. 3D analyses showed high-quality structure. Molecular docking analyses revealed SMV4 as the best vaccine construct among the four constructed vaccines, demonstrating high affinity with the immune receptor. Molecular dynamics simulation confirmed the low deformability and stability of the vaccine candidate. Discontinuous epitope residues analyses of SMV4 revealed that they are flexible and can interact with antibodies. In silico immune simulation indicated that the designed SMV4 vaccine triggers an effective immune response. In silico codon optimization and cloning in expression vector indicate that SMV4 vaccine can be efficiently expressed in
system. Overall, we showed that SMV4 multi-epitope vaccine successfully elicited antigen-specific humoral and cellular immune responses and may be a potential vaccine candidate against
. Further experimental validations could confirm its exact efficacy, the safety and immunogenicity profile. Our findings bring a valuable addition to the development of new strategies to prevent and control the spread of multidrug-resistant Gram-negative bacteria with high clinical relevance.</description><subject>computational approaches</subject><subject>Epitopes, B-Lymphocyte</subject><subject>Epitopes, T-Lymphocyte</subject><subject>Escherichia coli</subject><subject>Humans</subject><subject>Immunology</subject><subject>Molecular Docking Simulation</subject><subject>multidrug resistance</subject><subject>reverse vaccinology</subject><subject>Serratia marcescens</subject><subject>subtractive proteomics</subject><subject>Vaccines, Subunit</subject><issn>1664-3224</issn><issn>1664-3224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkd9uFCEUhydGY5vaB_DG8AKz8m9guDFZ21o3qTGx6i1h4TClmRkmwJr0GXzp0o42LTeQA7_vcPI1zXuCN4z16qMP03TYUEzpRoq-E-pVc0yE4C2jlL9-dj5qTnO-xXVxxRjr3jZHrGOSYMaOm79bdH2XC0ymBIt2FTnHdjf7mNbKdllSNPYGlYjOIYdhRgZ9O4wlwBJKXKD9bDI49NtYG2ZA28GEORd0MUEawjysb5cR0Hk6DOhHReRi5oKuIaXawaDJJAvZwpzfNW-8GTOc_ttPml9fLn6efW2vvl_uzrZXreWiK63vwPUeY99zyzlnGFOJLbOcSNcJofaWU_DGUsUIF1J4Rxm2zijXO2Xcnp00u5XrornVSwr1C3c6mqAfCzEN2qQ6_Ai6Y87Jyu6lV9xi2DsMxCiwlHaKdLKyPq2s5bCfwNUxSjLjC-jLmznc6CH-0b0SsiqqALICbIo5J_BPWYL1g2j9KFo_iNar6Jr58LzpU-K_VnYPGjmo_w</recordid><startdate>20220314</startdate><enddate>20220314</enddate><creator>Damas, Marcelo Silva Folhas</creator><creator>Mazur, Fernando Gabriel</creator><creator>Freire, Caio Cesar de Melo</creator><creator>da Cunha, Anderson Ferreira</creator><creator>Pranchevicius, Maria-Cristina da Silva</creator><general>Frontiers Media S.A</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220314</creationdate><title>A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens</title><author>Damas, Marcelo Silva Folhas ; Mazur, Fernando Gabriel ; Freire, Caio Cesar de Melo ; da Cunha, Anderson Ferreira ; Pranchevicius, Maria-Cristina da Silva</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-f5ed8f00f84c444300270c3c417d5669bc42efac29314676fd230cda9d8d9adb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>computational approaches</topic><topic>Epitopes, B-Lymphocyte</topic><topic>Epitopes, T-Lymphocyte</topic><topic>Escherichia coli</topic><topic>Humans</topic><topic>Immunology</topic><topic>Molecular Docking Simulation</topic><topic>multidrug resistance</topic><topic>reverse vaccinology</topic><topic>Serratia marcescens</topic><topic>subtractive proteomics</topic><topic>Vaccines, Subunit</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Damas, Marcelo Silva Folhas</creatorcontrib><creatorcontrib>Mazur, Fernando Gabriel</creatorcontrib><creatorcontrib>Freire, Caio Cesar de Melo</creatorcontrib><creatorcontrib>da Cunha, Anderson Ferreira</creatorcontrib><creatorcontrib>Pranchevicius, Maria-Cristina da Silva</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ: Directory of Open Access Journals</collection><jtitle>Frontiers in immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Damas, Marcelo Silva Folhas</au><au>Mazur, Fernando Gabriel</au><au>Freire, Caio Cesar de Melo</au><au>da Cunha, Anderson Ferreira</au><au>Pranchevicius, Maria-Cristina da Silva</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens</atitle><jtitle>Frontiers in immunology</jtitle><addtitle>Front Immunol</addtitle><date>2022-03-14</date><risdate>2022</risdate><volume>13</volume><spage>768569</spage><pages>768569-</pages><issn>1664-3224</issn><eissn>1664-3224</eissn><abstract>is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on reverse vaccinology and subtractive proteomics-based approach to predict potential vaccine candidates against
. We analyzed the complete proteome sequence of 49 isolate of
and identified 5 that were conserved proteins, non-homologous from human and gut flora, extracellular or exported to the outer membrane, and antigenic. The identified proteins were used to select 5 CTL, 12 HTL, and 12 BCL epitopes antigenic, non-allergenic, conserved, hydrophilic, and non-toxic. In addition, HTL epitopes were able to induce interferon-gamma immune response. The selected peptides were used to design 4 multi-epitope vaccines constructs (SMV1, SMV2, SMV3 and SMV4) with immune-modulating adjuvants, PADRE sequence, and linkers. Peptide cleavage analysis showed that antigen vaccines are processed and presented
of MHC class molecule. Several physiochemical and immunological analyses revealed that all multiepitope vaccines were non-allergenic, stable, hydrophilic, and soluble and induced the immunity with high antigenicity. The secondary structure analysis revealed the designed vaccines contain mainly coil structure and alpha helix structures. 3D analyses showed high-quality structure. Molecular docking analyses revealed SMV4 as the best vaccine construct among the four constructed vaccines, demonstrating high affinity with the immune receptor. Molecular dynamics simulation confirmed the low deformability and stability of the vaccine candidate. Discontinuous epitope residues analyses of SMV4 revealed that they are flexible and can interact with antibodies. In silico immune simulation indicated that the designed SMV4 vaccine triggers an effective immune response. In silico codon optimization and cloning in expression vector indicate that SMV4 vaccine can be efficiently expressed in
system. Overall, we showed that SMV4 multi-epitope vaccine successfully elicited antigen-specific humoral and cellular immune responses and may be a potential vaccine candidate against
. Further experimental validations could confirm its exact efficacy, the safety and immunogenicity profile. Our findings bring a valuable addition to the development of new strategies to prevent and control the spread of multidrug-resistant Gram-negative bacteria with high clinical relevance.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>35371033</pmid><doi>10.3389/fimmu.2022.768569</doi><oa>free_for_read</oa></addata></record> |
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subjects | computational approaches Epitopes, B-Lymphocyte Epitopes, T-Lymphocyte Escherichia coli Humans Immunology Molecular Docking Simulation multidrug resistance reverse vaccinology Serratia marcescens subtractive proteomics Vaccines, Subunit |
title | A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens |
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