Evidence map›Paper›PMID 24711701›Full record

ArticleInternational journal of nanomedicine2014

An innovative approach to induce cross-protective immunity against porcine reproductive and respiratory syndrome virus in the lungs of pigs through adjuvanted nanotechnology-based vaccination.

Basavaraj Binjawadagi, Varun Dwivedi, Cordelia Manickam, Kang Ouyang, Jordi B Torrelles, Gourapura J Renukaradhya

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

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  12. Cloaked Viruses and Viral Factors in Cutting Edge Exosome-Based Therapies.Frontiers in cell and developmental biology · 2020
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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

6 authors at 1 institution in 1 country.

Basavaraj BinjawadagiFood Animal Health Research Program, Ohio Agricultural Research and Development Center, Wooster, OH, USA ; Department of Veterinary Preventive Medicine, The Ohio State University, Wooster, OH, USA.
Varun DwivediFood Animal Health Research Program, Ohio Agricultural Research and Development Center, Wooster, OH, USA.
Cordelia ManickamFood Animal Health Research Program, Ohio Agricultural Research and Development Center, Wooster, OH, USA ; Department of Veterinary Preventive Medicine, The Ohio State University, Wooster, OH, USA.
Kang OuyangFood Animal Health Research Program, Ohio Agricultural Research and Development Center, Wooster, OH, USA.
Jordi B TorrellesDepartment of Microbial Infection and Immunity, The Ohio State University, Columbus, OH, USA.
Gourapura J RenukaradhyaFood Animal Health Research Program, Ohio Agricultural Research and Development Center, Wooster, OH, USA ; Department of Veterinary Preventive Medicine, The Ohio State University, Wooster, OH, USA.
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome (PRRS) is an economically devastating respiratory disease of pigs. The disease is caused by the PRRS virus (PRRSV), an Arterivirus which is a highly mutating RNA virus. Widely used modified live PRRSV vaccines have failed to prevent PRRS outbreaks and reinfections; moreover, safety of the live virus vaccines is questionable. Though poorly immunogenic, inactivated PRRSV vaccine is safe. The PRRSV infects primarily the lung macrophages. Therefore, we attempted to strengthen the immunogenicity of inactivated/killed PRRSV vaccine antigens (KAg), especially in the pig respiratory system, through: 1) entrapping the KAg in biodegradable poly(lactic-co-glycolic acid) nanoparticles (NP-KAg); 2) coupling the NP-KAg with a potent mucosal adjuvant, whole cell lysate of Mycobacterium tuberculosis (M. tb WCL); and 3) delivering the vaccine formulation twice intranasally to growing pigs. We have previously shown that a single dose of NP-KAg partially cleared the challenged heterologous PRRSV. Recently, we reported that NP-KAg coupled with unentrapped M. tb WCL significantly cleared the viremia of challenged heterologous PRRSV. Since PRRSV is primarily a lung disease, our goal in this study was to investigate lung viral load and various immune correlates of protection at the lung mucosal surfaces and its parenchyma in vaccinated heterologous PRRSV-challenged pigs. Our results indicated that out of five different vaccine-adjuvant formulations, the combination of NP-KAg and unentrapped M. tb WCL significantly cleared detectable replicating infective PRRSV with a tenfold reduction in viral RNA load in the lungs, associated with substantially reduced gross and microscopic lung pathology. Immunologically, strong humoral (enhanced virus neutralization titers by high avidity antibodies) and cell-mediated immune responses (augmented population of interferon-γ secreting CD4(+) and CD8(+) lymphocytes and reduced secretion of immunosuppressive cytokines) in the lungs were observed. In conclusion, combination of NP-KAg and soluble M. tb WCL elicits broadly cross-protective anti-PRRSV immunity in the pig respiratory system.

Indexed as

AnimalsCross ProtectionLactic AcidLungNanocapsulesPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerPorcine Reproductive and Respiratory SyndromeSwineTreatment OutcomeVaccines, InactivatedViral VaccinesLactic AcidNanocapsulesPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerVaccines, InactivatedViral Vaccinescross-protectionM. tb WCLmucosal vaccinePLGA nanoparticlesPRRSV

Identifiers

PMID24711701
PMCPMC3969340
OpenAlexW2143319397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.