Vaginal Biomarkers That Predict Cervical Length and Dominant Bacteria in the Vaginal Microbiomes of Pregnant Women

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorWeill Cornell Med-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Federal de São Paulo (UNIFESP)-
Autor(es): dc.contributorUniv Idaho-
Autor(es): dc.contributorUniv Fed Ceara-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorWitkin, Steven S.-
Autor(es): dc.creatorMoron, Antonio F.-
Autor(es): dc.creatorRidenhour, Benjamin J.-
Autor(es): dc.creatorMinis, Evelyn-
Autor(es): dc.creatorHatanaka, Alan-
Autor(es): dc.creatorSarmento, Stephanno G. P.-
Autor(es): dc.creatorFranca, Marcelo S.-
Autor(es): dc.creatorCarvalho, Francisco H. C.-
Autor(es): dc.creatorHamamoto, Tatiana K.-
Autor(es): dc.creatorMattar, Rosiane-
Autor(es): dc.creatorSabino, Ester-
Autor(es): dc.creatorLinhares, Iara M.-
Autor(es): dc.creatorRudge, Marilza V. C. [UNESP]-
Autor(es): dc.creatorForney, Larry J.-
Data de aceite: dc.date.accessioned2022-02-22T00:09:01Z-
Data de disponibilização: dc.date.available2022-02-22T00:09:01Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2019-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1128/mBio.02242-19-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196290-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196290-
Descrição: dc.descriptionIn many impoverished regions of the world, it may not be possible to assess two major risk factors for preterm birth: a short cervical length and the depletion of vaginal lactobacilli. We determined whether measuring specific compounds in vaginal fluid might be a simple, noninvasive, and cost-effective way to predict the bacteria that dominate the vaginal microbiome and indicate the presence of a shortened cervix (<25 mm). Vaginal fluid samples were prospectively collected from mid-trimester pregnant women, and the concentrations of D- and L-lactic acid, tissue inhibitor of matrix metalloproteinases TIMP-1 and TIMP-2, matrix metalloproteinases MMP-2 and MMP-8, the 70-kDa heat shock protein, a2 isoform of vacuolar ATPase, and sequestrome-1 were quantified by an enzyme-linked immunosorbent assay (ELISA). The compositions of vaginal microbiomes were assessed by analysis of the V1-V3 regions of 16S rRNA genes, while cervical length was determined by transvaginal ultrasonography. The vaginal microbiomes could be clustered into five community state types (CSTs), four of which were dominated by a single Lactobacillus species. The dominance of Lactobacillus crispatus or Lactobacillus jensenii in the vaginal microbiome predicted the level of D-lactic acid present. Several of the biomarkers, especially TIMP-1, in combination with the subject's age and race, were significantly associated with cervical length. Using piecewise structural equation modeling, we established a causal network that links CST to cervical length via biomarkers. We concluded that measuring levels of TIMP-1 and D-lactic acid in vaginal secretions might be a straightforward way to assess the risk for preterm birth due to a short cervix and microbiome composition. IMPORTANCE Premature birth and its complications are the largest contributors to infant death in the United States and globally. A short cervical length and the depletion of Lactobacillus species are known risk factors for preterm birth. However, in many resource-poor areas of the world, the technology to test for their occurrence is unavailable, and pregnant women with these risk factors are neither identified nor treated. In this study, we used path analysis to gain an unprecedented understanding of interactions between vaginal microbiome composition, the concentrations of various compounds in vaginal secretions, and cervical length. We identified low-cost point-of-care measures that might be used to identify pregnant women at risk for preterm birth. The use of these measures coupled with appropriate preventative or treatment strategies could reduce the incidence of preterm births in poor areas of the world that lack access to more sophisticated diagnostic methods.-
Descrição: dc.descriptionBill and Melinda Gates Foundation-
Descrição: dc.descriptionBrazilian Ministry of Health (DECIT)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionNIH COBRE grant-
Descrição: dc.descriptionUniversity of Idaho-
Descrição: dc.descriptionWeill Cornell Med, Dept Obstet & Gynecol, New York, NY USA-
Descrição: dc.descriptionUniv Sao Paulo, Inst Trop Med, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Fed Sao Paulo, Dept Obstet, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Idaho, Dept Math, Moscow, ID 83843 USA-
Descrição: dc.descriptionUniv Idaho, Ctr Modeling Complex Interact, Moscow, ID 83843 USA-
Descrição: dc.descriptionUniv Idaho, Dept Biol Sci, Moscow, ID 83843 USA-
Descrição: dc.descriptionUniv Idaho, Inst Bioinformat & Evolutionary Studies, Moscow, ID 83843 USA-
Descrição: dc.descriptionUniv Fed Ceara, Dept Gynecol & Obstet, Fortaleza, Ceara, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Med Sch, Dept Obstet & Gynecol, Sao Paulo, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Med Sch, Dept Obstet & Gynecol, Botucatu, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Med Sch, Dept Obstet & Gynecol, Botucatu, SP, Brazil-
Descrição: dc.descriptionCNPq: 401626/2013-0-
Descrição: dc.descriptionNIH COBRE grant: P30GM103324-
Formato: dc.format13-
Idioma: dc.languageen-
Publicador: dc.publisherAmer Soc Microbiology-
Relação: dc.relationMbio-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectcervical length-
Palavras-chave: dc.subjectD-lactic acid-
Palavras-chave: dc.subjectpreterm birth-
Palavras-chave: dc.subjectTIMP-1-
Palavras-chave: dc.subjectvaginal microbiome-
Palavras-chave: dc.subjectLactobacillus-
Palavras-chave: dc.subjectcervix-
Palavras-chave: dc.subjectlactic acid-
Palavras-chave: dc.subjectmicrobial communities-
Título: dc.titleVaginal Biomarkers That Predict Cervical Length and Dominant Bacteria in the Vaginal Microbiomes of Pregnant Women-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.