Evidence map›Paper›PMID 33917739›Full record

ArticleAnimals : an open access journal from MDPI2021

Prime Vaccination with Chitosan-Coated Phipps BCG and Boosting with CFP-PLGA against Tuberculosis in a Goat Model.

Yesenia Guadalupe Contreras-Magallanes, Marina Durán-Aguilar, Susana L Sosa-Gallegos, Ángel H Álvarez, Fátima A Andrade-Santillán, Isabel Bárcenas-Reyes, Sara González-Ruíz, Elba Rodríguez-Hernández, Germinal J Cantó-Alarcón, Feliciano Milián-Suazo

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Tailoring biomaterials for vaccine delivery.Journal of nanobiotechnology · 2024
    Review
  2. Review
  3. 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

10 authors at 3 institutions in 1 country.

Yesenia Guadalupe Contreras-MagallanesDoctorado en Ciencias Biológicas, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76230 Querétaro, Mexico.ORCID 0000-0001-7632-3154
Marina Durán-AguilarFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.ORCID 0000-0002-7260-6779
Susana L Sosa-GallegosFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.
Ángel H ÁlvarezCentro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco, Av. Normalistas 800, Col. Colinas de la Normal, 44370 Guadalajara, Mexico.ORCID 0000-0003-3302-5493
Fátima A Andrade-SantillánMaestría en Salud y Producción Animal Sustentable, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N Juriquilla, Delegación Santa Rosa Jáuregui, 78230 Querétaro, Mexico.
Isabel Bárcenas-ReyesFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.
Sara González-RuízFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.
Elba Rodríguez-HernándezCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, SAGARPA, Km. 1 Carretera a Colón, Ajuchitlan, 76280 Colón, Mexico.
Germinal J Cantó-AlarcónFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.ORCID 0000-0001-7821-9916
Feliciano Milián-SuazoFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Avenida de las Ciencias S/N, Juriquilla, Delegación Santa Rosa Jáuregui, 76239 Querétaro, Mexico.
Autonomous University of Queretaro · MXSecretaría de Salud de Jalisco · MXSecretariat of Agriculture, Livestock, Rural Development, Fisheries and Food · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attempts to improve the immune response and efficacy of vaccines against tuberculosis in cattle, goats, and other animal species have been the focus of research in this field during the last two decades. Improving the vaccine efficacy is essential prior to running long-lasting and expensive field trials. Studies have shown that vaccine protocols utilizing boosting with proteins improve the vaccine efficacy. The use of polymers such as chitosan and PolyLactic-co-Glycolic Acid (PLGA) improves the immune response against different diseases by improving the interaction of antigens with the cellular immune system and modulating the host immune response. This study shows that the prime BCG vaccination, boosted with a culture filtrate protein (CFP), alone or in combination with chitosan and PolyLactic-co-Glycolic Acid (PLGA), have the potential to reduce tuberculosis (TB) dissemination by reducing the number of animals with lesions, the number of lesions per animal, and the size of the lesions in vaccinated animals, compared with those not vaccinated or those vaccinated with BCG alone. The vaccinated groups showed significantly higher Interferon-γ levels in the blood compared to the control, nonvaccinated group after vaccination, after boosting, and after the challenge with the wild-type

Indexed as

BCG vaccinecattlechitosangoatsMycobacterium bovispoly (lactic-co-glycolic acid)

Identifiers

PMID33917739
PMCPMC8068168
OpenAlexW3142964800

What OpenQuestion 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 OpenQuestion graph.