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  1. Article ; Online: 1

    Correia, Banny S B / Ferreira, Vinicius G / Piagge, Priscila M F D / Almeida, Mariana B / Assunção, Nilson A / Raimundo, Joyce R S / Fonseca, Fernando L A / Carrilho, Emanuel / Cardoso, Daniel R

    Journal of proteome research

    2022  Volume 21, Issue 7, Page(s) 1640–1653

    Abstract: The coronavirus disease 2019 (Covid-19), which caused respiratory problems in many patients worldwide, led to more than 5 million deaths by the end of 2021. Experienced symptoms vary from mild to severe illness. Understanding the infection severity to ... ...

    Abstract The coronavirus disease 2019 (Covid-19), which caused respiratory problems in many patients worldwide, led to more than 5 million deaths by the end of 2021. Experienced symptoms vary from mild to severe illness. Understanding the infection severity to reach a better prognosis could be useful to the clinics, and one study area to fulfill one piece of this biological puzzle is metabolomics. The metabolite profile and/or levels being monitored can help predict phenotype properties. Therefore, this study evaluated plasma metabolomes of 110 individual samples, 57 from control patients and 53 from recent positive cases of Covid-19 (IgM 98% reagent), representing mild to severe symptoms, before any clinical intervention. Polar metabolites from plasma samples were analyzed by quantitative
    MeSH term(s) Amino Acids ; COVID-19/diagnosis ; Formates ; Glucuronates ; Glycerol ; Humans ; Lactates ; Metabolomics ; SARS-CoV-2
    Chemical Substances Amino Acids ; Formates ; Glucuronates ; Lactates ; Glycerol (PDC6A3C0OX)
    Language English
    Publishing date 2022-06-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.1c00977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: ¹H qNMR-Based Metabolomics Discrimination of Covid-19 Severity

    Correia, Banny S. B. / Ferreira, Vinicius G. / Piagge, Priscila M. F. D. / Almeida, Mariana B. / Assunção, Nilson A. / Raimundo, Joyce R. S. / Fonseca, Fernando L. A. / Carrilho, Emanuel / Cardoso, Daniel R.

    Journal of proteome research. 2022 June 08, v. 21, no. 7

    2022  

    Abstract: The coronavirus disease 2019 (Covid-19), which caused respiratory problems in many patients worldwide, led to more than 5 million deaths by the end of 2021. Experienced symptoms vary from mild to severe illness. Understanding the infection severity to ... ...

    Abstract The coronavirus disease 2019 (Covid-19), which caused respiratory problems in many patients worldwide, led to more than 5 million deaths by the end of 2021. Experienced symptoms vary from mild to severe illness. Understanding the infection severity to reach a better prognosis could be useful to the clinics, and one study area to fulfill one piece of this biological puzzle is metabolomics. The metabolite profile and/or levels being monitored can help predict phenotype properties. Therefore, this study evaluated plasma metabolomes of 110 individual samples, 57 from control patients and 53 from recent positive cases of Covid-19 (IgM 98% reagent), representing mild to severe symptoms, before any clinical intervention. Polar metabolites from plasma samples were analyzed by quantitative ¹H NMR. Glycerol, 3-aminoisobutyrate, formate, and glucuronate levels showed alterations in Covid-19 patients compared to those in the control group (Tukey’s HSD p-value cutoff = 0.05), affecting the lactate, phenylalanine, tyrosine, and tryptophan biosynthesis and d-glutamine, d-glutamate, and glycerolipid metabolisms. These metabolic alterations show that SARS-CoV-2 infection led to disturbance in the energetic system, supporting the viral replication and corroborating with the severe clinical conditions of patients. Six polar metabolites (glycerol, acetate, 3-aminoisobutyrate, formate, glucuronate, and lactate) were revealed by PLS-DA and predicted by ROC curves and ANOVA to be potential prognostic metabolite panels for Covid-19 and considered clinically relevant for predicting infection severity due to their straight roles in the lipid and energy metabolism. Thus, metabolomics from samples of Covid-19 patients is a powerful tool for a better understanding of the disease mechanism of action and metabolic consequences of the infection in the human body and may corroborate allowing clinicians to intervene quickly according to the needs of Covid-19 patients.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; acetates ; biosynthesis ; disease severity ; energy metabolism ; formates ; glutamic acid ; glycerol ; humans ; lactic acid ; lipids ; mechanism of action ; metabolites ; metabolome ; metabolomics ; phenotype ; phenylalanine ; prognosis ; proteome ; research ; tryptophan ; tyrosine ; virus replication
    Language English
    Dates of publication 2022-0608
    Size p. 1640-1653.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.1c00977
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones.

    Materón, Elsa M / Gómez, Faustino R / Almeida, Mariana B / Shimizu, Flavio M / Wong, Ademar / Teodoro, Kelcilene B R / Silva, Filipe S R / Lima, Manoel J A / Angelim, Monara Kaelle S C / Melendez, Matias E / Porras, Nelson / Vieira, Pedro M / Correa, Daniel S / Carrilho, Emanuel / Oliveira, Osvaldo N / Azevedo, Ricardo B / Goncalves, Débora

    ACS applied materials & interfaces

    2022  Volume 14, Issue 49, Page(s) 54527–54538

    Abstract: Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color changes were noted with the naked eye owing to plasmon ... ...

    Abstract Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (f-AuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL
    MeSH term(s) Humans ; Colorimetry/methods ; Gold/chemistry ; SARS-CoV-2 ; Metal Nanoparticles/chemistry ; Surface Plasmon Resonance/methods ; Smartphone ; COVID-19 Testing ; COVID-19/diagnosis ; Biosensing Techniques/methods
    Chemical Substances Gold (7440-57-5)
    Language English
    Publishing date 2022-12-01
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.2c15407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Validation of a liquid chromatography ultraviolet method for determination of herbicide diuron and its metabolites in soil samples.

    Felicio, Ana Lucia S M / Monteiro, Alessandra M / Almeida, Mariana B / Madeira, Tiago B / Nixdorf, Suzana L / Yabe, Maria Josefa S

    Anais da Academia Brasileira de Ciencias

    2016  Volume 88, Issue 3, Page(s) 1235–1241

    Abstract: Diuron is one of the most widely herbicide used worldwide, which can undergo degradation producing three primary metabolites: 3,4-dichlorophenylurea, 3-(3,4-dichlorophenyl)-1-methylurea, and 3,4-dichloroaniline. Since the persistence of diuron and its by- ...

    Abstract Diuron is one of the most widely herbicide used worldwide, which can undergo degradation producing three primary metabolites: 3,4-dichlorophenylurea, 3-(3,4-dichlorophenyl)-1-methylurea, and 3,4-dichloroaniline. Since the persistence of diuron and its by-products in ecosystems involves risk of toxicity to environment and human health, a reliable quantitative method for simultaneous monitoring of these compounds is required. Hence, a simple method without preconcentration step was validated for quantitation of diuron and its main metabolites by high performance liquid chromatography with ultraviolet detection. Separation was achieved in less than 11 minutes using a C18 column, mobile phase composed of acetonitrile and water (45:55 v/v) at 0.86 mL min-1 and detection at 254 nm. The validated method using solid-liquid extraction followed by an isocratic chromatographic elution proved to be specific, precise and linear (R2 ˃ 0.99), presenting more than 90% of recovery. The method was successfully applied to quantify diuron and their by-products in soil samples collected in a sugarcane cultivation area, focusing on the environmental control.
    Language English
    Publishing date 2016-09
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 2046885-4
    ISSN 1678-2690 ; 0001-3765
    ISSN (online) 1678-2690
    ISSN 0001-3765
    DOI 10.1590/0001-3765201620150234
    Database MEDical Literature Analysis and Retrieval System OnLINE

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