Gingival epithelial cell-derived microvesicles activate mineralization in gingival fibroblasts.

Sci Rep

Faculty of Dentistry, Department of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada.

Published: September 2022

Soft tissue calcification occurs in many parts of the body, including the gingival tissue. Epithelial cell-derived MVs can control many functions in fibroblasts but their role in regulating mineralization has not been explored. We hypothesized that microvesicles (MVs) derived from gingival epithelial cells could regulate calcification of gingival fibroblast cultures in osteogenic environment. Human gingival fibroblasts (HGFs) were cultured in osteogenic differentiation medium with or without human gingival epithelial cell-derived MV stimulation. Mineralization of the cultures, localization of the MVs and mineral deposits in the HGF cultures were assessed. Gene expression changes associated with MV exposure were analyzed using gene expression profiling and real-time qPCR. Within a week of exposure, epithelial MVs stimulated robust mineralization of HGF cultures that was further enhanced by four weeks. The MVs taken up by the HGF's did not calcify themselves but induced intracellular accumulation of minerals. HGF gene expression profiling after short exposure to MVs demonstrated relative dominance of inflammation-related genes that showed increases in gene expression. In later cultures, OSX, BSP and MMPs were significantly upregulated by the MVs. These results suggest for the first time that epithelial cells maybe associated with the ectopic mineralization process often observed in the soft tissues.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500071PMC
http://dx.doi.org/10.1038/s41598-022-19732-1DOI Listing

Publication Analysis

Top Keywords

gene expression
16
gingival epithelial
12
epithelial cell-derived
12
gingival fibroblasts
8
epithelial cells
8
human gingival
8
hgf cultures
8
expression profiling
8
gingival
7
mvs
7

Similar Publications

Background: Extracellular matrix (ECM) proteins play a crucial role in regulating the biological properties of adherent cells. For cryopreserved fibroblasts, a favourable ECM environment can help restore their natural morphology and function more rapidly, minimizing post-thaw stress responses.

Methods And Results: This study explored the functional responses of cryopreserved enriched caprine adult dermal fibroblast (cadFibroblast) cells to structural [collagen-IV and rat tail collagen (RTC)] and adhesion ECM proteins (laminin, fibronectin, and vitronectin) under in vitro culture conditions.

View Article and Find Full Text PDF

Immune infiltration plays a significant role in the pathogenesis of rheumatoid arthritis (RA). Cuproptosis, a newly characterized form of programmed cell death, remains insufficiently investigated regarding its genetic regulation of immune infiltration in RA. Data from the GEO database were analyzed to determine the relationship between cuproptosis-related genes and immune infiltration.

View Article and Find Full Text PDF

Purpose: Glioma is the most prevalent tumor of the central nervous system. The poor clinical outcomes and limited therapeutic efficacy underscore the urgent need for early diagnosis and an optimized prognostic approach for glioma. Therefore, the aim of this study was to identify sensitive biomarkers for glioma.

View Article and Find Full Text PDF

An endoplasmic reticulum-localized Cu transporter, PhHMA5II1, interacts with copper chaperones and plays an important role in Cu detoxification in petunia. Copper (Cu) is an essential element for plant growth but toxic when present in excess. In this study we present the functional characterization of a petunia (Petunia hybrida) P-type heavy-metal ATPases (HMAs), PhHMA5II1.

View Article and Find Full Text PDF

Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!