Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 7% 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
4 citing papers in PubMed, 13 citations in OpenAlex.
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
12 authors at 2 institutions in 1 country.
Stephanie Wutke OliveiraInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.
Leia Cardoso-SousaInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.
Renata Pereira GeorjuttiInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.ORCID 0000-0002-2018-2281
Jacqueline Farinha ShimizuLaboratory of Antiviral Research, Institute of Biomedical Science, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.
Suely SilvaLaboratory of Antiviral Research, Institute of Biomedical Science, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.
Douglas Carvalho CaixetaInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.ORCID 0000-0002-2363-6584
Marco Guevara-VegaInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.
Thúlio Marquez CunhaSchool of Medicine, Federal University of Uberlandia (UFU), Uberlandia 38408-100, Brazil.
Murillo Guimarães CarneiroFaculty of Computing, Federal University of Uberlandia (UFU), Uberlandia 38400-902, Brazil.ORCID 0000-0002-2915-8990
Luiz Ricardo GoulartInstitute of Biotechnology, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.ORCID 0000-0002-1803-4861
Ana Carolina Gomes JardimLaboratory of Antiviral Research, Institute of Biomedical Science, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.ORCID 0000-0002-6348-7923
Robinson Sabino-SilvaInnovation Center in Salivary Diagnostic and Nanobiotechnology, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia 38408-100, Brazil.ORCID 0000-0002-2104-5780
Universidade Federal de Uberlândia · BRCentro Universitário do Triângulo · BR
Funding
APES - Prevention and Combat of Outbreaks, Endemics, Epidemics, and Pandemics #23038.014934/2020-59CTIC/FNDCT-CNPq/MEC-CAPES/MS-Decit/ Preventing and Combating Zika Virus #440610/2016-8Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-00476-20 Federal University of Uberlândia #001Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-02148-21Fundação de Amparo à Pesquisa do Estado de Minas Gerais #APQ-02872-16Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-03613-17National Institute of Science and Technology in Theranostics and Nanobiotechnology 403193/2022-2
6 · The paper itself
Abstract
Zika virus (ZIKV) diagnosis is currently performed through an invasive, painful, and costly procedure using molecular biology. Consequently, the search for a non-invasive, more cost-effective, reagent-free, and sustainable method for ZIKV diagnosis is of great relevance. It is critical to prepare a global strategy for the next ZIKV outbreak given its devastating consequences, particularly in pregnant women. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy has been used to discriminate systemic diseases using saliva; however, the salivary diagnostic application in viral diseases is unknown. To test this hypothesis, we intradermally challenged interferon-gamma gene knockout C57/BL6 mice with ZIKV (50 µL,105 FFU,
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.
Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study. · full record | OpenQuestion