Identification of immunogenic antigens and evaluation of vaccine candidates against Clostridium perfringens DOI Creative Commons

Zewei Li,

Yifei Chen, Haiping Xie

et al.

Poultry Science, Journal Year: 2024, Volume and Issue: unknown, P. 104436 - 104436

Published: Oct. 1, 2024

Language: Английский

Construction of novel multi-epitope-based diagnostic biomarker HP16118P and its application in the differential diagnosis of Mycobacterium tuberculosis latent infection DOI Creative Commons
Jie Wang, Fan Jiang, Peng Cheng

et al.

Molecular Biomedicine, Journal Year: 2024, Volume and Issue: 5(1)

Published: April 29, 2024

Abstract Tuberculosis (TB) is an infectious disease that significantly threatens human health. However, the differential diagnosis of latent tuberculosis infection (LTBI) and active (ATB) remains a challenge for clinicians in early detection preventive intervention. In this study, we developed novel biomarker named HP16118P, utilizing 16 helper T lymphocyte (HTL) epitopes, 11 cytotoxic (CTL) 8 B cell epitopes identified from 15 antigens associated with LTBI-RD using IEDB database. We analyzed physicochemical properties, spatial structure, immunological characteristics HP16118P various tools, which indicated it hydrophilic relatively stable alkaline protein. Furthermore, exhibited good antigenicity immunogenicity, while being non-toxic non-allergenic, potential to induce immune responses. observed can stimulate production high levels IFN-γ + lymphocytes individuals ATB, LTBI, health controls. IL-5 induced by demonstrated distinguishing LTBI ATB patients ( p =0.0372, AUC=0.8214, 95% CI [0.5843 1.000]) sensitivity 100% specificity 71.43%. incorporated GM-CSF, IL-23, IL-5, MCP-3 into machine learning algorithms construct model. It was found Quadratic discriminant analysis model best diagnostic performance discriminating between 1.00, 0.86, accuracy 0.93. summary, has strong induction MCP-3, suggesting their ATB.

Language: Английский

Citations

10

Designing of a multi-epitopes based vaccine against Haemophilius parainfluenzae and its validation through integrated computational approaches DOI Creative Commons

Sana Abdul Ghaffar,

Haneen Tahir,

Sher Muhammad

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: April 16, 2024

Haemophilus parainfluenzae is a Gram-negative opportunist pathogen within the mucus of nose and mouth without significant symptoms has an ability to cause various infections ranging from ear, eye, sinus pneumonia. A concerning development increasing resistance H. beta-lactam antibiotics, with potential dental or abscesses. The principal objective this investigation utilize bioinformatics immuno-informatic methodologies in candidate multi-epitope Vaccine. focuses on identifying epitopes for both B cells (B lymphocytes) T (helper lymphocytes cytotoxic based high non-toxic non-allergenic characteristics. selection process involves human leukocyte antigen alleles demonstrating strong associations recognized antigenic overlapping epitopes. Notably, chosen aim provide coverage 90% global population. Multi-epitope constructs were designed by using suitable linker sequences. To enhance immunological potential, adjuvant sequence was incorporated EAAAK linker. final vaccine construct, comprising 344 amino acids, achieved after addition adjuvants linkers. This Vaccine demonstrates notable antigenicity possesses favorable physiochemical three-dimensional conformation underwent modeling refinement, validated through in-silico methods. Additionally, protein-protein molecular docking analysis conducted predict effective binding poses between Toll-like receptor 4 protein. Molecular Dynamics (MD) docked TLR4-vaccine complex demonstrated consistent stability over simulation period, primarily attributed electrostatic energy. displayed minimal deformation enhanced rigidity motion residues during dynamic simulation. Furthermore, codon translational optimization computational cloning performed ensure reliability proper expression multi-Epitope It crucial emphasize that despite these validations, experimental research laboratory imperative demonstrate immunogenicity protective efficacy developed vaccine. would involve practical assessments ascertain real-world effectiveness

Language: Английский

Citations

8

A review on the development of bacterial multi-epitope recombinant protein vaccines via reverse vaccinology DOI
Yuxin Li, Muhammad Haris Raza Farhan, Xiaohan Yang

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 282, P. 136827 - 136827

Published: Oct. 30, 2024

Language: Английский

Citations

6

Development of Multi-epitope mRNA Vaccine against Clostridioides difficile Using Reverse Vaccinology and Immunoinformatics Approaches DOI Creative Commons

Caixia Tan,

Yuanyuan Xiao, Ting Liu

et al.

Synthetic and Systems Biotechnology, Journal Year: 2024, Volume and Issue: 9(4), P. 667 - 683

Published: May 18, 2024

(

Citations

5

Knowledge mapping of disease-modifying therapy (DMT) in multiple sclerosis (MS): A bibliometrics analysis DOI Creative Commons
Fan Jiang, Fenghe Zhang, Yue Su

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31744 - e31744

Published: May 31, 2024

BackgroundMultiple sclerosis (MS) is a heterogeneous autoimmune disease, with rapidly evolving body of literature on disease-modifying therapy (DMT) that urgently needs to be synthesized and regularized.MethodsThe original material used for the analysis was obtained from Web Science Core Collection (WoSCC) in Citation Index Expanded Edition (SCI-E). The data accessed through VOSviewer, Citespace, R package "Bibliometrix", Scimago Graphica visualization. Among them, clustering algorithm based Largest Likelihood Ratio (LLR) burst citation key.ResultsAs November 6th, 2022, 4142 publications related emerging therapies (e-DMT) MS, 6521 traditional (t-DMT) 1793 cross-cutting (I-DMT) MS were included analysis, respectively. Publications DMT analyzed descriptively (for three subjects: country, institution, author) predictively two keywords references) separately according sections: e-DMT, t-DMT, I-DMT. Topics still have relevant reference output as 2022 include safety Coronavirus disease 2019 (COVID-19) mRNA vaccination, therapeutic inertia (TI), cladribine tablets, autologous hematopoietic stem cell transplantation (aHSCT), progressive multiple sclerosis, pediatric sclerosis.ConclusionThe future research focus combination trial or cross-trial various treatment methods improve development individualized plans patients. exact contents frontiers are but not limited ocrelizumab, fingolimod other monoclonal antibodies, fumaric acid ester, tablet, aHSCT, interventions randomized controlled trials (RCTs); impact COVID-19 vaccination patients; TI, patient adherence, medical management issues; continued exploration biomarkers more accurate classification existing clinical indication classification.

Language: Английский

Citations

4

Harnessing bioinformatics for the development of a promising multi-epitope vaccine against tuberculosis: The ZL9810L vaccine DOI Creative Commons
Zhuang Li, Yilu Zhao,

Ling Yang

et al.

Decoding Infection and Transmission, Journal Year: 2024, Volume and Issue: 2, P. 100026 - 100026

Published: Jan. 1, 2024

Language: Английский

Citations

4

Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate DOI Creative Commons
Zhuang Li, Awais Ali,

Ling Yang

et al.

Infectious Medicine, Journal Year: 2024, Volume and Issue: 3(4), P. 100148 - 100148

Published: Nov. 9, 2024

Tuberculosis (TB) remains a global public health challenge. The existing Bacillus Calmette-Guérin vaccine has limited efficacy in preventing adult pulmonary TB, necessitating the development of new vaccines with improved protective effects.

Language: Английский

Citations

4

Design of a Multiepitope Pan‐Proteomic mRNA Vaccine Construct Against African Swine Fever Virus: A Reverse Vaccinology Approach DOI Creative Commons
Ella Mae Joy S. Sira, Lauren Emily Fajardo, Edward C. Banico

et al.

Veterinary Medicine International, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

African swine fever (ASF), caused by virus (ASFV), is a highly contagious disease with devastating effects on the global pig industry. This warrants development of effective control strategies, such as vaccines. However, previously developed inactivated vaccines have proven ineffective, while live‐attenuated carry inherent safety risks. The use mRNA eliminates these risks offering safe, cost‐effective, and efficient vaccine strategy against ASFV. In this study, reverse vaccinology approach was used to design multiepitope pan‐proteomic Various bioinformatics tools were employed predict epitopes for cytotoxic T lymphocytes, helper B lymphocytes. A 50S ribosomal L7/L12 protein adjuvant, 5′ cap, poly(A) tail, signal peptide, MHC‐I‐targeting domain incorporated into using appropriate linkers increase immunogenicity, stability, recognition efficiency. physicochemical properties final construct evaluated, docking analyses done Toll‐like receptors (TLRs) 3, 4, 7 evaluate binding affinity. molecular dynamics simulation then performed determine immune simulations evaluated host’s response. Based 100 ASFV proteomes, six that induce T‐cell responses, five four antibody production predicted. designed found be nonallergenic, antigenic, stable when bound TLR4 pocket TLR3 TLR7 indicate high translation Immune demonstrated successful induction responses generation antigen‐specific memory cells. conclusion, study introduces an potential ASF in vitro confirmation.

Language: Английский

Citations

0

Next-generation sequencing and immuno-informatics for designing a multi-epitope vaccine against HSV-1-induced uveitis DOI Creative Commons
He Cao, Zhi Cao, Yue Han

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 31, 2025

Background Uveitis, characterized by intraocular inflammation, poses significant clinical challenges, often leading to vision impairment or blindness. Herpes Simplex Virus type 1 (HSV-1) is a major cause of virus-induced uveitis. This study aims design novel multi-epitope vaccine targeting HSV-1 glycoproteins B, C, D, H, and L using an immuno-informatics approach, which are essential for viral entry pathogenesis. Methods The identified epitopes CD8+ T cells, CD4+ B cells within the target glycoproteins. These were systematically evaluated conservancy, immunogenicity, non-allergenicity, non-glycosylated regions, binding affinities. A construct was designed, incorporating these along with adjuvant, PADRE sequence, suitable linkers. In-silico immune simulations performed evaluate vaccine’s potential activate both innate adaptive responses. Molecular docking assessed interactions between Toll-like receptor (TLR-9). Results selected demonstrated high non-allergenicity. effectively activated cytokine production, immunoglobulin secretion, cell responses in in-silico simulations. showed strong TLR-9, suggesting enhanced antigen presentation capabilities. Conclusion comprehensive approach provides precision immunotherapy strategy uveitis leveraging computational modeling predictive analytics HSV-1. results indicate efficacy activating Future experimental validation studies necessary confirm safety this proposed managing preserving vision.

Language: Английский

Citations

0

Designing a Potential Universal Multi-Epitope Vaccine Candidate Against Hepatitis E Virus DOI

Donald Rao,

Saumya Patel, Himanshu A. Pandya

et al.

Next research., Journal Year: 2025, Volume and Issue: unknown, P. 100365 - 100365

Published: April 1, 2025

Language: Английский

Citations

0