Contributions
Abstract: EP1556
Type: Poster Sessions
Abstract Category: Pathology and pathogenesis of MS - Biomarkers
Introduction: Tears represent an exciting promising fluid for biomarkers discovery. Their easy way to collect, invasiveness, timeless and absence of side effects make them particularly attractive for clinical uses. Indeed, their complex molecular composition is highly regulated depending on several factors including ocular and systemic diseases.
Objectives: Here, we present quantitative proteomics analyses of human tears comparing the protein levels between multiple sclerosis (MuS) patients and healthy controls.
Aims: The aim of this study is to identify some potential biomarker candidates for multiple sclerosis.
Methods: Tears of MuS patients (N=6, 2 males, mean age (±SD): 39.2 years (± 10)) and healthy subjects (N=6, 2 males, 37.7 (± 11.2)) were collected with Schirmer's papers and proteomics quantification analyses were done. Samples were tagged using Tandem Masse Tags (TMTs) reagents then trypsin digestion and off-gel electrophoresis fractionation were performed. Analyses were done using high throughput mass spectrometers coupled to a liquid chromatography, and Proteome Discoverer software (version 2.2) was used to obtain protein identification and quantification (2 unique peptides, 1% FDR at protein and peptide levels, ratio < 0.67 or >1.5, p-value < 0.05). Pathway analysis was done using Reactome database.
Results: Globally, 832 proteins were quantified in human tears, with 105 proteins found as differentially expressed between MuS patients and controls. Pathway analyses highlighted among others the immune system, the transport of small molecules and the metabolism of proteins. Eight proteins were found significantly deregulated in the experiments, and further analyses and verification of several candidates are ongoing.
Conclusions: In these first steps, we were able to highlight in tears of MuS patients some interesting proteins related to the immune response and the survival of neurons. These preliminary results tend to enhance the interest of tears as one of the promising future diagnostic strategies.
Disclosure: Marianne Dor declares that she has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) for its support.
Jean-Luc Wolfender: nothing to disclose
Aurélien Thomas: nothing to disclose
Patrice Lalive that he has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) for its support.
Natacha Turck that she has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) and the SNF_MVH (PMPDP3_158370) for their support.
Abstract: EP1556
Type: Poster Sessions
Abstract Category: Pathology and pathogenesis of MS - Biomarkers
Introduction: Tears represent an exciting promising fluid for biomarkers discovery. Their easy way to collect, invasiveness, timeless and absence of side effects make them particularly attractive for clinical uses. Indeed, their complex molecular composition is highly regulated depending on several factors including ocular and systemic diseases.
Objectives: Here, we present quantitative proteomics analyses of human tears comparing the protein levels between multiple sclerosis (MuS) patients and healthy controls.
Aims: The aim of this study is to identify some potential biomarker candidates for multiple sclerosis.
Methods: Tears of MuS patients (N=6, 2 males, mean age (±SD): 39.2 years (± 10)) and healthy subjects (N=6, 2 males, 37.7 (± 11.2)) were collected with Schirmer's papers and proteomics quantification analyses were done. Samples were tagged using Tandem Masse Tags (TMTs) reagents then trypsin digestion and off-gel electrophoresis fractionation were performed. Analyses were done using high throughput mass spectrometers coupled to a liquid chromatography, and Proteome Discoverer software (version 2.2) was used to obtain protein identification and quantification (2 unique peptides, 1% FDR at protein and peptide levels, ratio < 0.67 or >1.5, p-value < 0.05). Pathway analysis was done using Reactome database.
Results: Globally, 832 proteins were quantified in human tears, with 105 proteins found as differentially expressed between MuS patients and controls. Pathway analyses highlighted among others the immune system, the transport of small molecules and the metabolism of proteins. Eight proteins were found significantly deregulated in the experiments, and further analyses and verification of several candidates are ongoing.
Conclusions: In these first steps, we were able to highlight in tears of MuS patients some interesting proteins related to the immune response and the survival of neurons. These preliminary results tend to enhance the interest of tears as one of the promising future diagnostic strategies.
Disclosure: Marianne Dor declares that she has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) for its support.
Jean-Luc Wolfender: nothing to disclose
Aurélien Thomas: nothing to disclose
Patrice Lalive that he has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) for its support.
Natacha Turck that she has no conflict of interest and thanks the HUG Starter (subside Louis-Jantet 2016) and the SNF_MVH (PMPDP3_158370) for their support.