Evidence map›Paper›PMID 41277920›Full record

ArticleIranian journal of public health2025

Optimizing a Subunit Vaccine of

Zaiqin Ling, Muhammad Ahsan Naeem

Abstract read
In one paragraph

Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Zaiqin LingDepartment of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Jinan, 250013, China.
Muhammad Ahsan NaeemCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The present study addresses the development of a novel subunit vaccine (SV) to combat tuberculosis (TB). Methods: The research used immunoinformatics to develop a subunit vaccine with 7 MHC-I, 3 MHC-II, and 7 B-cell epitopes joined by AAV, GPGPG, and KK linkers. It involved Mtb protein Rv0577 and PADRE sequence as an adjuvant. TLR2 binding affinity (Kd, nM) was determined through PRODIGY. In-silico evaluations determined allergenicity, antigenicity, and physicochemical properties. The vaccine was presented in an AAVDj/8 system, intracellular expression was verified, and the copy number was identified using qPCR and qRT-PCR. Results: The web tools confirmed the stability, non-allergenicity, and high immunogenicity of the vaccine (0.5673 < 0.4). PRODIGY tool depicted good SV-TLR2 binding (ΔG = -8.8 kcal/mol, Kd = 330 nM) with 59 intermolecular contacts, indicating possible TLR2 activation. Indirect immunofluorescence showed the expression of intracellular proteins. Viral titers, determined by 10-fold serial dilution up to 10 Conclusion: This comprehensive methodology, from epitope selection to in-vitro testing, establishes a robust foundation for further exploring and advancing this SV.

Indexed as

Adeno-associated virus (AAV)vectorBacillus Calmette-Guérin (BCG) vaccineImmunoinformaticsSubunit vaccineTuberculosis

Identifiers

PMID41277920
PMCPMC12630399

What OpenQuestion holds

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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.