Objective: Periodontal disease has been associated with pregnancy complications including preeclampsia. This bioinformatic study is aimed at investigating the possible role of circulating microRNAs (miRNAs) as mediators of the association between maternal periodontal disease and preeclampsia.
Methods: Peripheral blood miRNA profiles of periodontitis and controls were sought from Gene Expression Omnibus (GEO), and differential expression analysis was performed. Experimentally validated circulating miRNAs associated with preeclampsia were determined from the Human MicroRNA Disease Database (HMDD v3.0). Venn diagrams were drawn to identify shared circulating differential miRNAs (DEmiRNAs). Significantly enriched target genes, KEGG pathways, and Gene Ontology (GO) terms for the set of shared DEmiRNA were predicted using miRNA enrichment analysis and annotation tool (miEAA v 2.0). Additionally, the shared DEmiRNA-enriched target genes were analyzed for enriched WikiPathways, BioCarta metabolic pathways, and tissue proteins in the human proteome map.
Results: Among 183 circulating DEmiRNA in periodontitis and 60 experimentally validated miRNA in preeclampsia, 9 shared DEmiRNA were identified. The top among 32 overrepresented target genes included MAFB, PSAP, and CDK5RAP2, top among 14 enriched KEGG pathways were renin-angiotensin system and graft-versus-host disease, and that among enriched 44 GO profiles included "positive regulation of epidermal growth factor-activated receptor activity" and "sequestering of calcium ion." In the overrepresented target gene set, among 10 enriched WikiPathways, the top included "NAD metabolism, sirtuins, and aging" and "regulation of Wnt/B-catenin signaling by small molecule compounds" and PPAR-related mechanisms was top among 13 enriched BioCarta metabolic pathways.
Conclusion: A circulating 9-DEmiRNA set was significantly linked to both periodontitis and preeclampsia. Enrichment analysis identified specific genes, pathways, and functional mechanisms, which may be epigenetically altered and thereby mediate the biological association of periodontitis and preeclampsia.
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http://dx.doi.org/10.1155/2022/2771492 | DOI Listing |
Purpose: Several studies have established a significant association between periodontal diseases and adverse pregnancy outcomes, such as preterm birth, low birth weight and preeclampsia. Despite this, awareness among pregnant women, particularly in developing countries, remains insufficient, potentially impeding the adoption of preventive measures. This study aimed to evaluate the knowledge of pregnant women in Ivory Coast regarding the association between periodontal diseases and adverse pregnancy outcomes.
View Article and Find Full Text PDFOral Dis
November 2024
Faculty of Dentistry, Department of Periodontology, Ege University, İzmir, Turkey.
Objective: To investigate serum, placental levels of active-matrix metalloproteinase-8 (aMMP-8), myeloperoxidase (MPO) in preterm-birth with/without pre-eclampsia and term counterparts in relation with clinical periodontal parameters.
Methods: Clinical periodontal measurements were recorded. Serum and placenta samples were collected during 173 full-term (FT), pre-term (PT) or pre-term complicated by pre-eclampsia (PTPE) deliveries.
Am J Reprod Immunol
October 2024
Department of Obstetrics and Gynecology, Division of Basic Science and Translational Research, University of Texas Medical Branch, Galveston, Texas, USA.
Limited studies have investigated the role of the microbiota in hypertensive disorders of pregnancy (HDP), particularly preeclampsia, which often results in preterm birth. We evaluated 23 studies that explored the relationship between gut, vaginal, oral, or placental microbiotas and HDP. Scopus, ProQuest Health Research Premium Collection, ProQuest Nursing & Allied Health Database, EBSCO, and Ovid were searched for relevant literature.
View Article and Find Full Text PDFSci Rep
October 2024
Department of Obstetrics and Gynecology, Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Korea.
Preterm birth (PTB) is one of the most common and serious complications of pregnancy, leading to mortality and severe morbidities that can impact lifelong health. PTB could be associated with various maternal medical condition and dental status including periodontitis. The purpose of this study was to identify major predictors of PTB among clinical and dental variables using machine learning methods.
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