Evidence map›Paper›PMID 32040775›Full record

ArticleDrug delivery and translational research2020

Technological challenges in the preclinical development of an HIV nanovaccine candidate.

Tamara G Dacoba, Luisa Ruiz-Gatón, Ana Benito, Marlène Klein, Damien Dupin, Ma Luo, Mathieu Menta, Desirée Teijeiro-Osorio, Iraida Loinaz, María J Alonso and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Drug delivery and translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Nanosystems Applied to HIV Infection: Prevention and Treatments.International journal of molecular sciences · 2020
    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

11 authors at 3 institutions in 2 countries.

Tamara G DacobaCenter for Research in Molecular Medicine and Chronic Diseases (CIMUS), IDIS Research Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Luisa Ruiz-GatónCIDETEC, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Gipuzkoa, 20014, Donostia-San Sebastián, Spain.
Ana BenitoCIDETEC, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Gipuzkoa, 20014, Donostia-San Sebastián, Spain.
Marlène KleinUltra Trace Analyses Aquitaine (UT2A/ADERA), Technopôle Hélioparc Pau-Pyrénées, 64053, Pau Cedex 9, France.
Damien DupinCIDETEC, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Gipuzkoa, 20014, Donostia-San Sebastián, Spain.
Ma LuoDepartment of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada.
Mathieu MentaUltra Trace Analyses Aquitaine (UT2A/ADERA), Technopôle Hélioparc Pau-Pyrénées, 64053, Pau Cedex 9, France.
Desirée Teijeiro-OsorioCenter for Research in Molecular Medicine and Chronic Diseases (CIMUS), IDIS Research Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Iraida LoinazCIDETEC, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Gipuzkoa, 20014, Donostia-San Sebastián, Spain.
María J AlonsoCenter for Research in Molecular Medicine and Chronic Diseases (CIMUS), IDIS Research Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain. mariaj.alonso@usc.es.
José Crecente-CampoCenter for Research in Molecular Medicine and Chronic Diseases (CIMUS), IDIS Research Institute, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain. jose.crecente@usc.es.ORCID 0000-0002-8630-5010
Centre for Electrochemical Technologies · ESUniversidade de Santiago de Compostela · ESUniversity of Manitoba · CA

Funding

Horizon 2020 Framework Programme 646142Ministerio de Educación, Cultura y Deporte FPU14/05866Xunta de Galicia ED431C 2017/09
6 · The paper itself

Abstract

Despite a very active research in the field of nanomedicine, only a few nano-based drug delivery systems have reached the market. The "death valley" between research and commercialization has been partially attributed to the limited characterization and reproducibility of the nanoformulations. Our group has previously reported the potential of a peptide-based nanovaccine candidate for the prevention of SIV infection in macaques. This vaccine candidate is composed of chitosan/dextran sulfate nanoparticles containing twelve SIV peptide antigens. The aim of this work was to rigorously characterize one of these nanoformulations containing a specific peptide, following a quality-by-design approach. The evaluation of the different quality attributes was performed by several complementary techniques, such as dynamic light scattering, nanoparticle tracking analysis, and electron microscopy for particle size characterization. The inter-batch reproducibility was validated by three independent laboratories. Finally, the long-term stability and scalability of the manufacturing technique were assessed. Overall, these data, together with the in vivo efficacy results obtained in macaques, underline the promise this new vaccine holds with regard to its translation to clinical trials. Graphical abstract.

Indexed as

AIDS VaccinesAnimalsAntigens, ViralChitosanDextran SulfateDrug CompoundingDynamic Light ScatteringFreeze DryingMicroscopy, ElectronParticle SizePeptidesSimian Immunodeficiency VirusAIDS VaccinesAntigens, ViralChitosanDextran SulfatePeptidesHIVIndustrial translationMicrofluidicsNanoparticlesQuality-by-designScale-up

Identifiers

PMID32040775
OpenAlexW3006090909

What OpenQuestion holds

Textmetadata
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.