Evidence map›Paper›PMID 31893321›Full record

ArticleAMB Express2019

Optimization and scale-up production of Zika virus ΔNS1 in Escherichia coli: application of Response Surface Methodology.

Alex Issamu Kanno, Luciana Cezar de Cerqueira Leite, Lennon Ramos Pereira, Mônica Josiane Rodrigues de Jesus, Robert Andreata-Santos, Rúbens Prince Dos Santos Alves, Edison Luiz Durigon, Luís Carlos de Souza Ferreira, Viviane Maimoni Gonçalves

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Novel processes to obtain pneumococcal surface proteins for vaccines.Applied microbiology and biotechnology · 2025
    Review
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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

9 authors at 2 institutions in 1 country.

Alex Issamu KannoLaboratório de Desenvolvimento de Vacinas, Instituto Butantan, Av Vital Brasil, 1500, São Paulo, SP, 05503-900, Brazil.ORCID http://orcid.org/0000-0002-4731-1493
Luciana Cezar de Cerqueira LeiteLaboratório de Desenvolvimento de Vacinas, Instituto Butantan, Av Vital Brasil, 1500, São Paulo, SP, 05503-900, Brazil.ORCID http://orcid.org/0000-0003-0156-1312
Lennon Ramos PereiraLaboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.
Mônica Josiane Rodrigues de JesusLaboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.
Robert Andreata-SantosLaboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4506-3756
Rúbens Prince Dos Santos AlvesLaboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.
Edison Luiz DurigonLaboratório de Virologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.
Luís Carlos de Souza FerreiraLaboratório de Desenvolvimento de Vacinas, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4883-1693
Viviane Maimoni GonçalvesLaboratório de Desenvolvimento de Vacinas, Instituto Butantan, Av Vital Brasil, 1500, São Paulo, SP, 05503-900, Brazil. viviane.goncalves@butantan.gov.br.ORCID http://orcid.org/0000-0002-0980-8116
Universidade de São Paulo · BRInstituto Butantan · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/23124-4Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/17595-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/20045-7
6 · The paper itself

Abstract

Diagnosing Zika virus (ZIKV) infections has been challenging due to the cross-reactivity of induced antibodies with other flavivirus. The concomitant occurrence of ZIKV and Dengue virus (DENV) in endemic regions requires diagnostic tools with the ability to distinguish these two viral infections. Recent studies demonstrated that immunoassays using the C-terminal fragment of ZIKV NS1 antigen (ΔNS1) can be used to discriminate ZIKV from DENV infections. In order to be used in serological tests, the expression/solubility of ΔNS1 and growth of recombinant E. coli strain were optimized by Response Surface Methodology. Temperature, time and IPTG concentration were evaluated. According to the model, the best condition determined in small scale cultures was 21 °C for 20 h with 0.7 mM of IPTG, which predicted 7.5 g/L of biomass and 962 mg/L of ΔNS1. These conditions were validated and used in a 6-L batch in the bioreactor, which produced 6.4 g/L of biomass and 500 mg/L of ΔNS1 in 12 h of induction. The serological ELISA test performed with purified ΔNS1 showed low cross-reactivity with antibodies from DENV-infected human subjects. Denaturation of ΔNS1 decreased the detection of anti-ZIKV antibodies, thus indicating the contribution of conformational epitopes and confirming the importance of properly folded ΔNS1 for the specificity of the serological analyses. Obtaining high yields of soluble ΔNS1 supports the viability of an effective serologic diagnostic test capable of differentiating ZIKV from other flavivirus infections.

Indexed as

E. coliHeterologous protein productionResponse Surface MethodologySerological diagnosisSoluble expressionZika NS1

Identifiers

PMID31893321
PMCPMC6938527
OpenAlexW2998486273

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.