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Rhumatologue

Docteur ANTOINE ESCOURROU

📍 Villefranche-de-Lauragais (31)HospitalierRPPS 10002847209

4 publis sur 5 ans

📊 Reconnaissance scientifique : 3/100📝 10 articles publiés📚 HAL (6)🏆 2 DU/DIU

✨ Profil synthétique

IA · 30/04/2026

Le Docteur Antoine Escourrou est un rhumatologue hospitalier à Villefranche-de-Lauragais, titulaire d'un DIU en Médecine manuelle. Ses activités de recherche sont principalement axées sur des sujets en dehors de la rhumatologie, notamment dans le domaine de la biologie végétale et des interactions plantes-microbes. Il compte 10 publications et un h-index de 3 selon OpenAlex.

Expertises présumées

  • Médecine manuelle
  • Génétique
  • Rhumatologie
  • Pathologies auto-immunes
  • Douleurs articulaires
  • Traitements non pharmacologiques

Synthèse automatique à partir des sources publiques (HAL, OpenAlex, theses.fr, ClinicalTrials.gov, FAI²R, ANS). Pas une évaluation clinique. Le médecin peut corriger via son compte.

Diplômes

🎓 DES & spécialité ordinale

  • Rhumatologie (SM)

🏅 DU / DIU

  • DU Réparation juridique du dommage corporel
  • DIU Médecine manuelle et Ostéopathie

📚 CES (Certificat d'Études Spéciales)

  • CES Médecine physique et réadaptation fonctionnelle
  • CES Rhumatologie

🎓 Diplômes

  • DE Docteur en médecine

Source : Annuaire Santé ANS (FHIR Practitioner.qualification) · Mises à jour quotidiennes.

🏆 Diplômes complémentaires reconnus

  • DU Réparation du dommage corporelDU

    Formation à l'expertise médicale dans les procédures juridiques (accidents du travail, AT/MP, indemnisation). Le rhumato expertise les conséquences fonctionnelles.

    Plusieurs universités françaises

    Page d'information générale →
  • DIU Médecine manuelleDIU

    Formation médicale aux manipulations vertébrales et articulaires. Réservée aux médecins (vs ostéopathes non médecins). Très populaire en rhumato : 172 rhumatos formés en France.

    Plusieurs universités françaises

    Page d'information générale →

Activité de recherche & publications

Source : bases de données publiques (OpenAlex, PubMed).

h-index

3

h articles cités ≥ h fois chacun. Un h de 3 = 3 publications avec 3+ citations.

Citations

213

Publications

10

i10-index

3

Thématiques principales

  • Microbial Metabolic Engineering and Bioproduction ×4
  • Plant-Microbe Interactions and Immunity ×2
  • Photosynthetic Processes and Mechanisms ×2
  • Legume Nitrogen Fixing Symbiosis ×2
  • Plant Pathogenic Bacteria Studies ×2

Affiliations FR : Université du littoral côte d'opale

Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.

Bibliographie

Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).

Localisation

Adresses géocodées via la Base Adresse Nationale (api-adresse.data.gouv.fr). Précision indicative.

Lieu de consultation

Tarifs & secteur de conventionnement

Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).

Prendre rendez-vous & contact

Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).

Top publications · les plus citées

  • 1
    Unravelling physiological signatures of tomato bacterial wilt and xylem metabolites exploited by Ralstonia solanacearum

    Environmental microbiology · 2021

    📚 27 citations🎯 RCR 2.44Top 21% NIH🔓 Open Access
    Lire l'abstract Crossref ↓

    The plant pathogen Ralstonia solanacearum uses plant resources to intensely proliferate in xylem vessels and provoke plant wilting. We combined automatic phenotyping and tissue/xylem quantitative metabolomics of infected tomato plants to decipher the dynamics of bacterial wilt. Daily acquisition of physiological parameters such as transpiration and growth were performed. Measurements allowed us to identify a tipping point in bacterial wilt dynamics. At this tipping point, the reached bacterial density brutally disrupts plant physiology and rapidly induces its death. We compared the metabolic and physiological signatures of the infection with drought stress, and found that similar changes occur. Quantitative dynamics of xylem content enabled us to identify glutamine (and asparagine) as primary resources R. solanacearum consumed during its colonization phase. An abundant production of putrescine was also observed during the infection process and was strongly correlated with in planta bacterial growth. Dynamic profiling of xylem metabolites confirmed that glutamine is the favoured substrate of R. solanacearum . On the other hand, a triple mutant strain unable to metabolize glucose, sucrose and fructose appears to be only weakly reduced for in planta growth and pathogenicity.

  • 2
    A multi-organ metabolic model of tomato predicts plant responses to nutritional and genetic perturbations

    Plant physiology · 2022

    📚 14 citations🎯 RCR 1.52🔓 Open Access📄 PDF gratuit ↗
    Lire l'abstract Crossref ↓

    Abstract Predicting and understanding plant responses to perturbations require integrating the interactions between nutritional sources, genes, cell metabolism, and physiology in the same model. This can be achieved using metabolic modeling calibrated by experimental data. In this study, we developed a multi-organ metabolic model of a tomato (Solanum lycopersicum) plant during vegetative growth, named Virtual Young TOmato Plant (VYTOP) that combines genome-scale metabolic models of leaf, stem and root and integrates experimental data acquired from metabolomics and high-throughput phenotyping of tomato plants. It is composed of 6,689 reactions and 6,326 metabolites. We validated VYTOP predictions on five independent use cases. The model correctly predicted that glutamine is the main organic nutrient of xylem sap. The model estimated quantitatively how stem photosynthetic contribution impacts exchanges between the different organs. The model was also able to predict how nitrogen limitation affects vegetative growth and the metabolic behavior of transgenic tomato lines with altered expression of core metabolic enzymes. The integration of different components, such as a metabolic model, physiological constraints, and experimental data, generates a powerful predictive tool to study plant behavior, which will be useful for several other applications, such as plant metabolic engineering or plant nutrition.

  • 3
    Unraveling the in planta population dynamics of the plant pathogen Ralstonia pseudosolanacearum by mathematical modeling

    The New phytologist · 2025

    📚 1 citations🔓 Open Access📄 PDF gratuit ↗
    Lire l'abstract Crossref ↓

    Summary Ralstonia pseudosolanacearum , a plant pathogen responsible for bacterial wilt in numerous plant species, exhibits paradoxical growth in the host by achieving high bacterial densities in xylem sap, an environment traditionally considered nutrient‐poor. This study combined in vitro experiments and mathematical modeling to elucidate the population dynamics of R. pseudosolanacearum within plants. To simulate the xylem environment, a tomato xylem‐mimicking medium was developed. Then, a mathematical model was constructed using in vitro data and employed to simulate the dynamics of bacterial density and xylem sap composition during plant infection. The model accurately reproduced in planta experimental observations, including high bacterial densities and the depletion of glutamine and asparagine. Additionally, the model estimated the minimal number of bacteria required to initiate infection, the timing of infection post‐inoculation, the bacterial mortality rate within the plant and the rate at which bacterial putrescine is assimilated by the plant. The findings demonstrate that xylem sap can sustain high bacterial densities, provides an explanatory framework for the presence of acetate, putrescine and 3‐hydroxybutyrate in the sap of infected xylem and give clues as to the role of putrescine in the virulence of R. pseudosolanacearum.

Publications scientifiques (3) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

Transversal2

Génétique1

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