Evidence map›Paper›PMID 36710326›Full record

ArticleJournal of nanobiotechnology2023

Facile synthesis of multi-faceted, biomimetic and cross-protective nanoparticle-based vaccines for drug-resistant Shigella: a flexible platform technology.

Namrata Baruah, Nadim Ahamad, Prolay Halder, Hemanta Koley, Dhirendra S Katti

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Namrata BaruahDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, 208016, Uttar Pradesh, India.
Nadim AhamadDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, 208016, Uttar Pradesh, India.
Prolay HalderDivision of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, 700010, West Bengal, India.
Hemanta KoleyDivision of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata, 700010, West Bengal, India.
Dhirendra S KattiDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, 208016, Uttar Pradesh, India. dsk@iitk.ac.in.
Indian Institute of Technology Kanpur · INNational Institute of Cholera and Enteric Diseases · IN

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR15284/MED/29/291/2011Indian Council of Medical Research 3/1/3/JRF-2018/HRD-066(66125)
6 · The paper itself

Abstract

backgroundNo commercial vaccines are available against drug-resistant Shigella due to serotype-specific/narrow-range of protection. Nanoparticle-based biomimetic vaccines involving stable, conserved, immunogenic proteins fabricated using facile chemistries can help formulate a translatable cross-protective Shigella vaccine. Such systems can also negate cold-chain transportation/storage thus overcoming challenges prevalent in various settings.

methodsWe explored facile development of biomimetic poly (lactide-co-glycolide)/PLGA 50:50 based nanovaccines (NVs), encapsulating conserved stabilized antigen(s)/immunostimulant of S. dysenteriae 1 origin surface-modified using simple chemistries. All encapsulants (IpaC/IpaB/LPS) and nanoparticles (NPs)-bare and modified (NV), were thoroughly characterized. Effect of IpaC on cellular uptake of NPs was assessed in-vitro. Immunogenicity of the NVs was assessed in-vivo in BALB/c mice by intranasal immunization. Cross-protective efficacy was assessed by intraperitoneally challenging the immunized groups with a high dose of heterologous S. flexneri 2a and observing for visible diarrhea, weight loss and survival. Passive-protective ability of the simplest NV was assessed in the 5-day old progeny of vaccinated mice.

resultsAll the antigens and immunostimulant to be encapsulated were successfully purified and found to be stable both before and after encapsulation into NPs. The ~ 300 nm sized NPs with a zeta potential of ~ - 25 mV released ~ 60% antigen by 14th day suggesting an appropriate delivery kinetics. The NPs could be successfully surface-modified with IpaC and/or CpG DNA. In vitro experiments revealed that the presence of IpaC can significantly increase cellular uptake of NPs. All NVs were found to be cytocompatible and highly immunogenic. Antibodies in sera of NV-immunized mice could recognize heterologous Shigella. Immunized sera also showed high antibody and cytokine response. The immunized groups were protected from diarrhea and weight loss with ~ 70-80% survival upon heterologous Shigella challenge. The simplest NV showed ~ 88% survival in neonates.

conclusionsFacile formulation of biomimetic NVs can result in significant cross-protection. Further, passive protection in neonates suggest that parental immunization could protect infants, the most vulnerable group in context of Shigella infection. Non-invasive route of vaccination can also lead to greater patient compliance making it amenable for mass-immunization. Overall, our work contributes towards a yet to be reported platform technology for facile development of cross-protective Shigella vaccines.

Indexed as

NanoparticlesShigellaShigella VaccinesAdjuvants, ImmunologicAnimalsAntibodies, BacterialBiomimeticsMiceMice, Inbred BALB CPharmaceutical PreparationsAdjuvants, ImmunologicAntibodies, BacterialPharmaceutical PreparationsShigella VaccinesAntibiotic resistanceBiomimeticNanoparticleNanovaccineShigellaShigellosisVaccine

Identifiers

PMID36710326
PMCPMC9884485
OpenAlexW4318455568

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.