Vaginal Lactobacillus species and inflammatory biomarkers in pregnancy.


Journal

Minerva ginecologica
ISSN: 1827-1650
Titre abrégé: Minerva Ginecol
Pays: Italy
ID NLM: 0400731

Informations de publication

Date de publication:
Oct 2020
Historique:
pubmed: 15 5 2020
medline: 29 10 2021
entrez: 15 5 2020
Statut: ppublish

Résumé

The aim of this study was to identify vaginal Lactobacillus spp. and quantify vaginal inflammatory cytokines in primigravida vs. multigravida women and pregnant vs. non-pregnant women. Vaginal swabs were obtained from four groups of patients. A real-time PCR was carried out to identify the Lactobacillus spp. Multiplex immunoassays were performed to quantify a total of 27 cytokines using the Bio-Plex MAGPIX multiplex reader and MesoQuick Plex SQ 120 (Meso Scale Diagnostics LLC, Rockville, MD, USA). Inferential statistics using hypothesis tests were applied to detect differences in cytokine levels. Significant differences in cytokines and chemokines exist among the four populations of women studied. IP-10 is significantly higher in multigravida women as compared to primigravida women. IFN-γ, MCP-1, MIP-1β, IL-2 and IL-10 are significantly higher in non-pregnant women compared to pregnant women. L. iners was the most abundant species in multigravida, pregnant and non-pregnant patients, while L. crispatus was the most abundant species in primigravida patients. Significant differences in the levels of MIP-1β, TNF-α, PDGF-BB, VEGF-A, IL-12, and IL-10 exist between women identified with Lactobacillus species and women not identified with Lactobacillus species. There were significant differences regarding cytokines, chemokines, and Lactobacillus spp. among four groups of studied patients. With these results, we increase our understanding of the role that vaginal cytokines and Lactobacillus species have during pregnancy, with the goal that this novel research will be useful for examining vaginal biomarkers in obstetrical conditions.

Sections du résumé

BACKGROUND BACKGROUND
The aim of this study was to identify vaginal Lactobacillus spp. and quantify vaginal inflammatory cytokines in primigravida vs. multigravida women and pregnant vs. non-pregnant women.
METHODS METHODS
Vaginal swabs were obtained from four groups of patients. A real-time PCR was carried out to identify the Lactobacillus spp. Multiplex immunoassays were performed to quantify a total of 27 cytokines using the Bio-Plex MAGPIX multiplex reader and MesoQuick Plex SQ 120 (Meso Scale Diagnostics LLC, Rockville, MD, USA). Inferential statistics using hypothesis tests were applied to detect differences in cytokine levels.
RESULTS RESULTS
Significant differences in cytokines and chemokines exist among the four populations of women studied. IP-10 is significantly higher in multigravida women as compared to primigravida women. IFN-γ, MCP-1, MIP-1β, IL-2 and IL-10 are significantly higher in non-pregnant women compared to pregnant women. L. iners was the most abundant species in multigravida, pregnant and non-pregnant patients, while L. crispatus was the most abundant species in primigravida patients. Significant differences in the levels of MIP-1β, TNF-α, PDGF-BB, VEGF-A, IL-12, and IL-10 exist between women identified with Lactobacillus species and women not identified with Lactobacillus species.
CONCLUSIONS CONCLUSIONS
There were significant differences regarding cytokines, chemokines, and Lactobacillus spp. among four groups of studied patients. With these results, we increase our understanding of the role that vaginal cytokines and Lactobacillus species have during pregnancy, with the goal that this novel research will be useful for examining vaginal biomarkers in obstetrical conditions.

Identifiants

pubmed: 32403915
pii: S0026-4784.20.04566-9
doi: 10.23736/S0026-4784.20.04566-9
doi:

Substances chimiques

Biomarkers 0
Chemokines 0
Cytokines 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

299-309

Auteurs

Kushal Gandhi (K)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.

Paula Gutierrez (P)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.
University of Texas Permian Basin (UTPB), Odessa, TX, USA.

John Garza (J)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.
University of Texas Permian Basin (UTPB), Odessa, TX, USA.

Taylor J Gray Wlazlo (TJ)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.

Rebecca J Meiser (RJ)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.

Samuel David (S)

Shepherd University, Shepherdstown, WV, USA.

Maira Carrillo (M)

Odessa University, Odessa, TX, USA.

Madhusudhanan Narasimhan (M)

Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center (TTUHSC), Lubbock, TX, USA.

Michael Galloway (M)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA.

Gary Ventolini (G)

School of Medicine, Texas Tech University Health Sciences Center (TTUHSC) of the Permian Basin, Odessa, TX, USA - gary.ventolini@ttuhsc.edu.

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Classifications MeSH