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Biology subjects

Gilles, S.

Publications and source records attributed to Gilles, S..

4 recordsLinked to original sources

The role of IgE patterns and their link to the gut microbiome in allergic sensitization

Allergic diseases are heterogeneous conditions shaped by immune pathways and environmental influences, including the gut microbiome. Using cross-sectional data from 508 adults in the KORA FF4 cohort (275 with IgE sensitization, 233 without), we provide a multimodal statistical analysis of deep IgE profiles and concomitant gut microbial amplicon sequencing variant (ASV) data. We identified three latent allergy components in the cohorts IgE profiles that reflects food, pollen, and house dust mite markers and enables interpretable stratification of the cohort. Contrary to prior studies, microbial diversity did not differ between sensitized and non-sensitized individuals across all cohort strata. Differential abundance analysis identified 61 ASVs, with enrichment in Bacteroidaceae, Oscillospiraceae, and Veillonellaceae families, and depletion in the Lachnospiraceae family. Microbial network analysis further identified altered family-level associations in pollen- and food-sensitized individuals. Taxon set enrichment highlighted folic acid- and vitamin A-producing taxa, with consistent signals from Prevotella copri (depleted) and Bacteroides massiliensis (enriched). Together, our analysis points toward specific microbial families and metabolic groups as correlates of IgE sensitization in an adult population. HIGHLIGHTSO_LIIgE sensitization clusters reflect allergen sources and cross-reactive proteins C_LIO_LIThree latent allergy components capture the IgE profile structure of the entire cohort C_LIO_LIDistinct IgE patterns are linked to changes in taxa compositions and associations C_LIO_LIFolic acid- and vitamin A-producing taxa are enriched in IgE-sensitized individuals C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/714318v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1d1c8fborg.highwire.dtl.DTLVardef@1e1fea7org.highwire.dtl.DTLVardef@1589fcorg.highwire.dtl.DTLVardef@160282_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

3D printed titanium anodized effects on human gingival fibroblasts response and bacterial colonization: a dual approach

Mucointegration is as important as osseointegration to ensure the survival of implant-supported prosthesis. Indeed, effective soft tissue integration (STI) prevents the appearance of complication through bacterial dissemination. To optimize STI, electrochemical anodization can be used to nanostructure the trans-gingival part of the prosthetic component. Moreover, Selective Laser Melting (SLM) is a new 3D-manufacturing technique that enables the production of customized implant-supported prosthesis with complex geometry. ObjectiveThe aim of this study is to evaluate the effect of a SLM manufactured and anodized Ti6Al4V surface on the behaviour of both, human gingival fibroblasts and oral bacteria. MethodSLM-Ti6Al4V discs were polished and anodized with defined parameters to obtain nanotubes (NTs) with specific morphology. Surface characterization was assessed through surface topography and wettability. Human gingival Fibroblasts were cultured, and cell morphology was observed by SEM at day 7. Proliferation, viability (day 1,4,7) and adhesion (6 h and 36 h) were analyzed. Then immunofluorescence and RT-qPCR were used to detect the distribution and the gene expression of vinculin at 48 h. An early colonizer (Streptococcus gordonii) was used for a parallel evaluation of bacteriological adhesion. ResultsSLM-ANO-Ti6Al4V showed similar performances in terms of cytotoxicity, compared with a machined and polished titanium surface currently used in clinics. Interestingly, cell adhesion was enhanced on anodized SLM surfaces, with a difference in the distribution of focal adhesion plaques in HGFs, while biofilm formation of S. gordonii was not affected by anodization. SignificanceSLM anodized surface showed promising ability to promote STI while controlling bacterial adhesion.

biophysics↗

Chloroplast Cell-Free Systems from Different Plant Species as a Rapid Prototyping Platform

Climate change poses a significant threat to global agriculture, necessitating innovative solutions. Plant synthetic biology, particularly chloroplast engineering, holds promise as a viable approach to this challenge. Chloroplasts present a variety of advantageous traits for genetic engineering, but the development of genetic tools and genetic part characterization in these organelles is hindered by the lengthy timescales required to generate transplastomic organisms. To address these challenges, we have established a versatile protocol for generating chloroplast-based cell-free gene expression (CFE) systems derived from a diverse range of plant species, including wheat (monocot), spinach, and poplar trees (dicots). We show that these systems work with conventionally used T7 RNA polymerase, as well as the endogenous chloroplast polymerases, allowing for detailed characterization and prototyping of regulatory sequences at both transcription and translation levels. To demonstrate the platform for characterization of promoters and 5 and 3 untranslated regions (UTRs) in higher plant chloroplast gene expression, we analyze a collection of 23 5UTRs, 10 3UTRs, and 6 chloroplast promoters, assessed their expression in spinach and wheat extracts, and found consistency in expression patterns, suggesting cross-species compatibility. Looking forward, our chloroplast CFE systems open new avenues for plant synthetic biology, offering prototyping tools for both understanding gene expression and developing engineered plants, which could help meet the demands of a changing global climate. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/580994v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@a6b24org.highwire.dtl.DTLVardef@2b62org.highwire.dtl.DTLVardef@1203308org.highwire.dtl.DTLVardef@f674a5_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

MicroMator: Open and Flexible Software for Reactive Microscopy

Microscopy image analysis has recently made enormous progress both in terms of accuracy and speed thanks to machine learning methods. This greatly facilitates the online adaptation of microscopy experimental plans using real-time information of the observed systems and their environments. Here we report MicroMator, an open and flexible software for defining and driving reactive microscopy experiments, and present applications to single-cell control and single-cell recombination.

systems biology↗