PhD Scientific Days 2024

Poster Session A - Molecular Medicine 1.

Biomarkers Identification Through a Plasmatic Secretome Analysis From an Equine Spontaneous Model of Sepsis

Előadó neve

Mr. Bouaud, Martin

Előadó munkahelye

Nantes Université, L'institut du thorax - U1087

Előadó telefonszáma

0671584317

Előadó e-mail címe

martin.bouaud@etu.univ-nantes.fr

Az előadás címe

Biomarkers Identification Through a Plasmatic Secretome Analysis From an Equine Spontaneous Model of Sepsis

Szerző(k) neve és munkahelye

Martin Bouaud¹, Angélique Blangy--Letheule¹, Aurélia Leroux², Benjamin Lauzier¹, Sandrine Bourgoin-Voillard³, Julien Perrier², Amandine Vergnaud¹, Manon Denis⁴, Bertrand Rozec⁴, Virginie Aillerie¹, Angélique Erraud¹

1: Nantes Université
2: ONIRIS Nantes
3: Université Paris-Est Créteil
4: CHU Nantes

Bemutatás módja

Poszter

Szekció

Poster Session A - Molecular Medicine 1.

Language of the presentation

English

Preferred session

Health Sciences

Összefoglaló szövege

Introduction
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Sepsis is a complex and multifactorial pathology with various clinical manifestations which complicates its diagnosis and patient clinical care. In this context, the World Health Organization called for a global action against sepsis that aims at improving prevention, diagnosis and clinical care. Secretome is the set of proteins secreted in the blood stream at a given time in response to stimuli. Its study could allow identification of new biomarkers of disease progression. Unlike induced murine models widely as a model of sepsis, horses spontaneously develop sepsis with a physiopathology and clinical care closer to humans.

Aims
We aim to identify novel early biomarkers of sepsis in plasma secretome of horses that could improve diagnosis and prognosis of patients.

Method
Due to sample protein complexity, plasmatic secretome from horses were enriched using ProteoMiner™ kit to reduce the dynamic range of the protein concentration. Proteins from plasma samples were analyzed by untargeted mass spectrometry (MS) upon admission and at day 1 and 2.

Results
MS analysis allowed the identification and quantification of 469 proteins, with several significantly differentially expressed proteins (DEPs). A combination of 5 DEPs upon admission in septic horses was identified to conceive a classification model with high selectivity and specificity. This model could be used as a diagnostic tool to improve the identification of septic patients upon admission. A combination of 7 DEPs in non-surviving septic horses could help improve prognosis of patients.

Conclusion
The dosage of proteins identified as potential biomarkers could improve clinical decision-making in human and veterinary medicine.

Funding
This work was supported by the IFCE - Institut Français du Cheval et de l’Équitation.

University

Nantes Université

Supervisor

Benjamin Lauzier

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

8239

Start

15:50

End

15:53