A new approach for identifying antagonism among fungi species and antifungal activity.
Identifieur interne : 000320 ( Main/Exploration ); précédent : 000319; suivant : 000321A new approach for identifying antagonism among fungi species and antifungal activity.
Auteurs : Airton Damasceno Silva [Brésil] ; Alessandra Regina Pepe Ambrozin [Brésil] ; Renato Lajarim Carneiro [Brésil] ; Paulo Cezar Vieira [Brésil]Source :
- Journal of pharmaceutical and biomedical analysis [ 1873-264X ] ; 2020.
Descripteurs français
- KwdFr :
- Analyse en composantes principales (MeSH), Antifongiques (pharmacologie), Champignons (classification), Champignons (effets des médicaments et des substances chimiques), Spectroscopie par résonance magnétique (MeSH), Techniques de coculture (MeSH), Techniques de culture (MeSH), Tests de sensibilité microbienne (MeSH).
- MESH :
- effets des médicaments et des substances chimiques : Champignons.
- pharmacologie : Antifongiques, Champignons.
- Analyse en composantes principales, Spectroscopie par résonance magnétique, Techniques de coculture, Techniques de culture, Tests de sensibilité microbienne.
English descriptors
- KwdEn :
- MESH :
- chemical , pharmacology : Antifungal Agents.
- classification : Fungi.
- drug effects : Fungi.
- Coculture Techniques, Culture Techniques, Magnetic Resonance Spectroscopy, Microbial Sensitivity Tests, Principal Component Analysis.
Abstract
New antifungals are increasingly needed due to the emergence of resistant fungal strains. Traditional antifungal assays are laborious and require significant amounts of samples. The present work presents a new proposal to evaluate antifungal activity and antagonism among fungal species, based on experiments of fungal culture and co-culture, 1H NMR profile of fungal culture extracts and chemometrics. In order to develop the work, six axenic cultures of fungi that infested fruits (Fusarium guttiforme, Pestalotiopsis diospyri, Phoma caricae-papayae, Colletotrichum horii, Phytophthora palmivora, and C. gloeosporioides), and co-cultures of all possible combination among them were performed (totalizing 63 experiments). All fungal extracts were evaluated by 1H NMR followed by Principal Component Analyses (PCA) in order to determine spectral dissimilarity among the extracts. Results showed that 1H NMR data evaluated by PCA were capable to predict both antagonism and antifungal activity. Traditional antifungal in vitro assays of active and inactive extracts were also performed in order to prove the prediction made by PCA. The obtained data showed that the approach is an outstanding tool to simultaneously obtain and evaluate bioactive compounds because: it was able to predict the activity of five different extracts in a collection of sixty-three, which would be much more difficult and time consuming if applied randomly; most important antifungal extracts are indicated by PCA; hundreds of traditional in vitro assays are avoid; and, the method is very time and money saving.
DOI: 10.1016/j.jpba.2019.112960
PubMed: 31791839
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Electronic address: pcvieira@fcfrp.usp.br.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Department of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil; Department of Physics and Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP</wicri:regionArea><placeName><region type="state">État de São Paulo</region></placeName></affiliation></author></analytic><series><title level="j">Journal of pharmaceutical and biomedical analysis</title><idno type="eISSN">1873-264X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Antifungal Agents (pharmacology)</term><term>Coculture Techniques (MeSH)</term><term>Culture Techniques (MeSH)</term><term>Fungi (classification)</term><term>Fungi (drug effects)</term><term>Magnetic Resonance Spectroscopy (MeSH)</term><term>Microbial Sensitivity Tests (MeSH)</term><term>Principal Component Analysis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse en composantes principales (MeSH)</term><term>Antifongiques (pharmacologie)</term><term>Champignons (classification)</term><term>Champignons (effets des médicaments et des substances chimiques)</term><term>Spectroscopie par résonance magnétique (MeSH)</term><term>Techniques de coculture (MeSH)</term><term>Techniques de culture (MeSH)</term><term>Tests de sensibilité microbienne (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="pharmacology" xml:lang="en"><term>Antifungal Agents</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Fungi</term></keywords><keywords scheme="MESH" qualifier="drug effects" xml:lang="en"><term>Fungi</term></keywords><keywords scheme="MESH" qualifier="effets des médicaments et des substances chimiques" xml:lang="fr"><term>Champignons</term></keywords><keywords scheme="MESH" qualifier="pharmacologie" xml:lang="fr"><term>Antifongiques</term><term>Champignons</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Coculture Techniques</term><term>Culture Techniques</term><term>Magnetic Resonance Spectroscopy</term><term>Microbial Sensitivity Tests</term><term>Principal Component Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse en composantes principales</term><term>Spectroscopie par résonance magnétique</term><term>Techniques de coculture</term><term>Techniques de culture</term><term>Tests de sensibilité microbienne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">New antifungals are increasingly needed due to the emergence of resistant fungal strains. Traditional antifungal assays are laborious and require significant amounts of samples. The present work presents a new proposal to evaluate antifungal activity and antagonism among fungal species, based on experiments of fungal culture and co-culture, <sup>1</sup>H NMR profile of fungal culture extracts and chemometrics. In order to develop the work, six axenic cultures of fungi that infested fruits (Fusarium guttiforme, Pestalotiopsis diospyri, Phoma caricae-papayae, Colletotrichum horii, Phytophthora palmivora, and C. gloeosporioides), and co-cultures of all possible combination among them were performed (totalizing 63 experiments). All fungal extracts were evaluated by <sup>1</sup>H NMR followed by Principal Component Analyses (PCA) in order to determine spectral dissimilarity among the extracts. Results showed that <sup>1</sup>H NMR data evaluated by PCA were capable to predict both antagonism and antifungal activity. Traditional antifungal in vitro assays of active and inactive extracts were also performed in order to prove the prediction made by PCA. The obtained data showed that the approach is an outstanding tool to simultaneously obtain and evaluate bioactive compounds because: it was able to predict the activity of five different extracts in a collection of sixty-three, which would be much more difficult and time consuming if applied randomly; most important antifungal extracts are indicated by PCA; hundreds of traditional in vitro assays are avoid; and, the method is very time and money saving.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31791839</PMID><DateCompleted><Year>2020</Year><Month>11</Month><Day>12</Day></DateCompleted><DateRevised><Year>2020</Year><Month>11</Month><Day>12</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-264X</ISSN><JournalIssue CitedMedium="Internet"><Volume>179</Volume><PubDate><Year>2020</Year><Month>Feb</Month><Day>05</Day></PubDate></JournalIssue><Title>Journal of pharmaceutical and biomedical analysis</Title><ISOAbbreviation>J Pharm Biomed Anal</ISOAbbreviation></Journal><ArticleTitle>A new approach for identifying antagonism among fungi species and antifungal activity.</ArticleTitle><Pagination><MedlinePgn>112960</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0731-7085(19)31935-1</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jpba.2019.112960</ELocationID><Abstract><AbstractText>New antifungals are increasingly needed due to the emergence of resistant fungal strains. Traditional antifungal assays are laborious and require significant amounts of samples. The present work presents a new proposal to evaluate antifungal activity and antagonism among fungal species, based on experiments of fungal culture and co-culture, <sup>1</sup>H NMR profile of fungal culture extracts and chemometrics. In order to develop the work, six axenic cultures of fungi that infested fruits (Fusarium guttiforme, Pestalotiopsis diospyri, Phoma caricae-papayae, Colletotrichum horii, Phytophthora palmivora, and C. gloeosporioides), and co-cultures of all possible combination among them were performed (totalizing 63 experiments). All fungal extracts were evaluated by <sup>1</sup>H NMR followed by Principal Component Analyses (PCA) in order to determine spectral dissimilarity among the extracts. Results showed that <sup>1</sup>H NMR data evaluated by PCA were capable to predict both antagonism and antifungal activity. Traditional antifungal in vitro assays of active and inactive extracts were also performed in order to prove the prediction made by PCA. The obtained data showed that the approach is an outstanding tool to simultaneously obtain and evaluate bioactive compounds because: it was able to predict the activity of five different extracts in a collection of sixty-three, which would be much more difficult and time consuming if applied randomly; most important antifungal extracts are indicated by PCA; hundreds of traditional in vitro assays are avoid; and, the method is very time and money saving.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Damasceno Silva</LastName><ForeName>Airton</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ambrozin</LastName><ForeName>Alessandra Regina Pepe</ForeName><Initials>ARP</Initials><AffiliationInfo><Affiliation>Institute of Science and Technology, Federal University of Alfenas (Unifal-MG), Poços de Caldas, MG, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Carneiro</LastName><ForeName>Renato Lajarim</ForeName><Initials>RL</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vieira</LastName><ForeName>Paulo Cezar</ForeName><Initials>PC</Initials><AffiliationInfo><Affiliation>Department of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil; Department of Physics and Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP, Brazil. Electronic address: pcvieira@fcfrp.usp.br.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>11</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Pharm Biomed Anal</MedlineTA><NlmUniqueID>8309336</NlmUniqueID><ISSNLinking>0731-7085</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000935">Antifungal Agents</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000935" MajorTopicYN="N">Antifungal Agents</DescriptorName><QualifierName UI="Q000494" MajorTopicYN="Y">pharmacology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018920" MajorTopicYN="N">Coculture Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D046508" MajorTopicYN="N">Culture Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005658" MajorTopicYN="N">Fungi</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009682" MajorTopicYN="Y">Magnetic Resonance Spectroscopy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008826" MajorTopicYN="N">Microbial Sensitivity Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D025341" MajorTopicYN="N">Principal Component Analysis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Antagonism</Keyword><Keyword MajorTopicYN="N">Antifungal activity</Keyword><Keyword MajorTopicYN="N">Chemometrics</Keyword><Keyword MajorTopicYN="N">Co-culture</Keyword><Keyword MajorTopicYN="N">NMR</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>08</Month><Day>07</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>10</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>12</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>11</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>12</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31791839</ArticleId><ArticleId IdType="pii">S0731-7085(19)31935-1</ArticleId><ArticleId IdType="doi">10.1016/j.jpba.2019.112960</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country><region><li>Minas Gerais</li><li>État de São Paulo</li></region></list><tree><country name="Brésil"><region name="État de São Paulo"><name sortKey="Damasceno Silva, Airton" sort="Damasceno Silva, Airton" uniqKey="Damasceno Silva A" first="Airton" last="Damasceno Silva">Airton Damasceno Silva</name></region><name sortKey="Ambrozin, Alessandra Regina Pepe" sort="Ambrozin, Alessandra Regina Pepe" uniqKey="Ambrozin A" first="Alessandra Regina Pepe" last="Ambrozin">Alessandra Regina Pepe Ambrozin</name><name sortKey="Carneiro, Renato Lajarim" sort="Carneiro, Renato Lajarim" uniqKey="Carneiro R" first="Renato Lajarim" last="Carneiro">Renato Lajarim Carneiro</name><name sortKey="Vieira, Paulo Cezar" sort="Vieira, Paulo Cezar" uniqKey="Vieira P" first="Paulo Cezar" last="Vieira">Paulo Cezar Vieira</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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