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Published on: December 28, 2017
Core genome analysis reveals novel drug and vaccine targets in multidrug-resistant Citrobacter koseri
Zubda Ashraf1, Fizza Arshad2, Samina N Shakeel1
1Department of Biochemistry, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Abstract:
Citrobacter koseri is a Gram-negative, multidrug-resistant bacterium linked to severe infections in immunocompromised individuals and neonates. It is especially linked to sepsis and meningitis, which often lead to CNS abscesses in newborns. Most infections happen randomly, but some are passed down from parent to child. There have also been reports of hospital-acquired outbreaks in neonatal care units. Even though diagnostic and treatment methods have improved, the death rate is still high. About one in three affected babies dies, and almost half of them suffer long-term neurological damage. As antibiotic resistance becomes more common, there is a growing need to look into new ways to treat diseases, such as vaccines and new drug targets. In order to address this issue, a thorough in-silico methodology integrating subtractive proteomics and reverse vaccinology was employed to pinpoint potential therapeutic targets from the core proteome. Five multi-epitope vaccine constructs were created using B- and T-cell epitopes from prioritized proteins, based on epitope prediction. Physicochemical and docking analysis identified constructs V1 and V5 as having strong binding affinities to Toll-like receptors TLR4 and TLR2, respectively. Furthermore, MD simulations validated the structural stability of docked complexes. In-silico immune simulations revealed that the constructs might induce robust immune responses. Additionally, potential drug target proteins were subjected to druggability analysis. This study presents a promising computational framework for combating C. koseri, though experimental and animal model validations are necessary to confirm the findings of this study.
Insights
This study identifies potential new treatments for Citrobacter koseri infections. Computational methods pinpointed promising vaccine candidates and drug targets to combat this dangerous, multidrug-resistant bacterium.
Area of Science:
- Microbiology
- Computational Biology
- Immunology
Background:
- Citrobacter koseri causes severe, often fatal infections in neonates and immunocompromised individuals.
- High mortality and long-term neurological damage underscore the urgent need for novel therapeutic strategies.
- Increasing antibiotic resistance necessitates the exploration of alternative treatments like vaccines and new drug targets.
Purpose of the Study:
- To identify potential therapeutic targets and vaccine candidates against Citrobacter koseri using in-silico methods.
- To develop and evaluate multi-epitope vaccine constructs computationally.
- To assess the druggability of identified target proteins.
Main Methods:
- Subtractive proteomics and reverse vaccinology were integrated for target identification.
- Epitope prediction was used to design five multi-epitope vaccine constructs.
- Physicochemical analysis, docking simulations, and molecular dynamics (MD) simulations were performed.
Main Results:
- Five multi-epitope vaccine constructs (V1-V5) were designed.
- Constructs V1 and V5 showed strong binding affinity to TLR4 and TLR2, respectively.
- In-silico simulations indicated potential for robust immune responses and identified druggable targets.
Conclusions:
- The study presents a promising computational framework for developing new therapies against Citrobacter koseri.
- Identified vaccine constructs and drug targets require experimental validation and animal model testing.
- This approach offers a pathway to combat multidrug-resistant C. koseri infections.
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