Publications by authors named "J Gueguen"

A radiological accident may result in the development of a local skin radiation injury (LRI) which may evolve, depending on the dose, from dry desquamation to deep ulceration and necrosis through unpredictable inflammatory waves. Therefore, early diagnosis of victims of LRI is crucial for improving medical care efficiency. This preclinical study aims to identify circulating metabolites as biomarkers associated with LRI using a C57BL/6J mouse model of hind limb irradiation.

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In the event of a radiological or nuclear emergency following an accident or malicious act, potentially involving many victims, medical care requires the identification and diagnosis of individuals exposed to high doses of ionizing radiation as quickly as possible. While an initial screening can be carried out directly in the field, additional biological in-lab analyses are required to refine the diagnosis and optimize the therapeutic management of victims. The fast and simultaneous management of many patients is limited by currently established techniques.

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The Water Framework Directive (WFD) requires member states to routinely assess the river ecological status using community-based indices. However, there is still a lack of published WFD-compliant methods for the French West Indies, especially using diatom-based indices. Martinique and Guadeloupe exhibit diverse landscapes shaped by their complex geological history and tropical climatic conditions.

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This study reports a botulism outbreak on a pig farm. Clostridium botulinum type C was detected using PCR. The gene encoding the toxin corresponds to a novel type C neurotoxin recently described in a human botulism outbreak, raising the question of its prevalence in pigs and the related risks to humans.

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Article Synopsis
  • Donor-derived cell-free DNA (dd-cfDNA) is an innovative noninvasive biomarker being studied for its ability to detect kidney allograft injuries, such as rejection.
  • In a study involving 2,882 kidney transplant recipients, high levels of dd-cfDNA were strongly linked to various types of allograft rejection, and it significantly improved prediction models beyond what's typically used in patient monitoring.
  • The study, which included diverse cohorts, reinforced that measuring dd-cfDNA could enhance the detection of even subtle rejection in stable patients, providing valuable insights for better transplant management.
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