Evidence map›Paper›PMID 36071517›Full record

ArticleBMC veterinary research2022

Designing multi-epitope-based vaccine targeting surface immunogenic protein of Streptococcus agalactiae using immunoinformatics to control mastitis in dairy cattle.

Rajesh Kumar Pathak, Byeonghwi Lim, Do-Young Kim, Jun-Mo Kim

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Frontiers in cellular and infection microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. In silico analysis of virulence factors ofIn silico pharmacology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

4 authors at 1 institution in 1 country.

Rajesh Kumar PathakDepartment of Animal Science and Technology, Chung-Ang University, Gyeonggi-do, 17546, Anseong-si, Republic of Korea.
Byeonghwi LimDepartment of Animal Science and Technology, Chung-Ang University, Gyeonggi-do, 17546, Anseong-si, Republic of Korea.
Do-Young KimDepartment of Animal Science and Technology, Chung-Ang University, Gyeonggi-do, 17546, Anseong-si, Republic of Korea.
Jun-Mo KimDepartment of Animal Science and Technology, Chung-Ang University, Gyeonggi-do, 17546, Anseong-si, Republic of Korea. junmokim@cau.ac.kr.
Chung-Ang University · KR

Funding

Ministry of Education NRF-2018R1A6A1A03025159
6 · The paper itself

Abstract

backgroundMilk provides energy as well as the basic nutrients required by the body. In particular, milk is beneficial for bone growth and development in children. Based on scientific evidence, cattle milk is an excellent and highly nutritious dietary component that is abundant in vitamins, calcium, potassium, and protein, among other minerals. However, the commercial productivity of cattle milk is markedly affected by mastitis. Mastitis is an economically important disease that is characterized by inflammation of the mammary gland. This disease is frequently caused by microorganisms and is detected as abnormalities in the udder and milk. Streptococcus agalactiae is a prominent cause of mastitis. Antibiotics are rarely used to treat this infection, and other available treatments take a long time to exhibit a therapeutic effect. Vaccination is recommended to protect cattle from mastitis. Accordingly, the present study sought to design a multi-epitope vaccine using immunoinformatics.

resultsThe vaccine was designed to be antigenic, immunogenic, non-toxic, and non-allergic, and had a binding affinity with Toll-like receptor 2 (TLR2) and TLR4 based on structural modeling, docking, and molecular dynamics simulation studies. Besides, the designed vaccine was successfully expressed in E. coli. expression vector (pET28a) depicts its easy purification for production on a larger scale, which was determined through in silico cloning. Further, immune simulation analysis revealed the effectiveness of the vaccine with an increase in the population of B and T cells in response to vaccination.

conclusionThis multi-epitope vaccine is expected to be effective at generating an immune response, thereby paving the way for further experimental studies to combat mastitis.

Indexed as

Bacterial VaccinesCattle DiseasesMastitis, BovineAnimalsCattleComputational BiologyEpitopesEscherichia coliFemaleMembrane ProteinsMolecular Docking SimulationMolecular Dynamics SimulationStreptococcus agalactiaeVaccines, SubunitBacterial VaccinesEpitopesMembrane ProteinsVaccines, SubunitCattleEpitope predictionImmunoinformaticsMastitisMulti-epitope vaccine

Identifiers

PMID36071517
PMCPMC9449294
OpenAlexW4294931194

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.