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Modulation of the cervix by steroid hormones and commensal microbiome play a central role in the health of the female reproductive tract. Here we describe organ-on-a-chip (Organ Chip) models that recreate the human cervical epithelial-stromal interface with a functional epithelial barrier and production of mucus with biochemical and hormone-responsive properties similar to living cervix. When Cervix Chips are populated with optimal healthy versus dysbiotic microbial communities (dominated by Lactobacillus crispatus and Gardnerella vaginalis, respectively), significant differences in tissue innate immune responses, barrier function, cell viability, proteome, and mucus composition are observed that are similar to those seen in vivo. Thus, human Cervix Organ Chips represent physiologically relevant in vitro models to study cervix physiology and host-microbiome interactions, and hence may be used as a preclinical testbed for development of therapeutic interventions to enhance women's health.
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http://dx.doi.org/10.1038/s41467-024-48910-0 | DOI Listing |
Arq Gastroenterol
September 2025
The Japanese Society of Internal Medicine, Editorial Department, Tokyo, Japan.
Background: This study aims to analyze research trends and emerging insights into gut microbiota studies from 2015 to 2024 through bibliometric analysis techniques. By examining bibliographic data from the Web of Science (WoS) Core Collection, it seeks to identify key research topics, evolving themes, and significant shifts in gut microbiota research. The study employs co-occurrence analysis, principal component analysis (PCA), and burst detection analysis to uncover latent patterns and the development trajectory of this rapidly expanding field.
View Article and Find Full Text PDFClin Oral Investig
September 2025
Department of Innovative Technologies in Medicine & Dentistry, "G. D'Annunzio" University, Via Dei Vestini 31, Chieti, Italy.
Objectives: This study aimed to compare the efficacy of the full-thickness palatal graft technique (FTPGT) and the coronally advanced flap with subepithelial connective tissue graft (CAF + SCTG) in achieving complete root coverage (CRC) in single gingival recessions (GR).
Methods: Forty healthy patients with a single RT1 GR were randomized into two groups: 20 treated with CAF + SCTG and 20 with FTPGT. Baseline and 12-month measurements of GR, keratinized tissue width (KTW), probing depth (PD), clinical attachment level (CAL), and gingival thickness (GT) were recorded.
Nat Microbiol
September 2025
Division of Computational Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Although dynamical systems models are a powerful tool for analysing microbial ecosystems, challenges in learning these models from complex microbiome datasets and interpreting their outputs limit use. We introduce the Microbial Dynamical Systems Inference Engine 2 (MDSINE2), a Bayesian method that learns compact and interpretable ecosystems-scale dynamical systems models from microbiome timeseries data. Microbial dynamics are modelled as stochastic processes driven by interaction modules, or groups of microbes with similar interaction structure and responses to perturbations, and additionally, noise characteristics of data are modelled.
View Article and Find Full Text PDFNat Ecol Evol
September 2025
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, the Netherlands.
All plants and animals are host to a community of microorganisms, their microbiotas, which have crucial influences on the life history and performance of their hosts. Despite the importance of such host-microbiota relationships, relatively little is known about the role microbiotas have in mediating evolution of the host and entire host-microbe assemblages. This knowledge gap is partly due to the lack of theoretical frameworks that generate testable predictions on the evolutionary dynamics of host-microbiota systems.
View Article and Find Full Text PDFFEMS Microbiol Ecol
September 2025
School of Biological Sciences, University of Auckland, 3A Symonds Street, Auckland, New Zealand, 1142.
The relationship between, and joint selection on, a host and its microbes-the holobiont-can impact evolutionary and ecological outcomes of the host and its microbial community. We develop an agent-based modelling framework for understanding the ecological dynamics of hosts and their microbiomes. Our model incorporates numerous microbial generations per host generation allowing selection on both host and microbes.
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