Heloise Vinette
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Heloise Vinette has a total of 37 co-authors. Here are the top co-authors by number of shared publications:
- Wendy E. Heywood
Translational Mass Spectrometry Research Group, Genetic & Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK
2 shared publications - Albert Jiménez-Requena
Department of Protein Science, KTH-Royal Institute of Technology, 11428 Stockholm, Sweden
1 shared publication - Alejandro Rubio-Navas
Departamento de Fisiología, Facultad de Biología, Universidad Autónoma de Madrid, Madrid, Spain
1 shared publication - Alessandra Ferlini
Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy
1 shared publication Alicia García-Bernués
1 shared publication- Brit Mollenhauer
Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
1 shared publication
Latest Publications
- 26 October 2026
- Published by Elsevier in Differentiation
- Vol. 152
Regulation of neuronal subtype cell numbers by POU-domain factor integration of Notch and Hox cell death programs
- 26 October 2026
- Published by Elsevier in Differentiation
- Vol. 152
Regulation of neuronal subtype cell numbers by POU-domain factor integration of Notch and Hox cell death programs
- Top Cited PapersOpen Access
- 18 June 2024
- Published by Springer Nature in Nature Communications
- Vol. 15 (1) , 1-18
Plasma proteomics identify biomarkers predicting Parkinson’s disease up to 7 years before symptom onset
Parkinson’s disease is increasingly prevalent. It progresses from the pre-motor stage (characterised by non-motor symptoms like REM sleep behaviour disorder), to the disabling motor stage. We need objective biomarkers for early/pre-motor disease stages to be able to intervene and slow the underlying neurodegenerative process. Here, we validate a targeted multiplexed mass spectrometry assay for blood samples from recently diagnosed motor Parkinson’s patients (n = 99), pre-motor individuals with isolated REM sleep behaviour disorder (two cohorts: n = 18 and n = 54 longitudinally), and healthy controls (n = 36). Our machine-learning model accurately identifies all Parkinson patients and classifies 79% of the pre-motor individuals up to 7 years before motor onset by analysing the expression of eight proteins—Granulin precursor, Mannan-binding-lectin-serine-peptidase-2, Endoplasmatic-reticulum-chaperone-BiP, Prostaglaindin-H2-D-isomaerase, Interceullular-adhesion-molecule-1, Complement C3, Dickkopf-WNT-signalling pathway-inhibitor-3, and Plasma-protease-C1-inhibitor. Many of these biomarkers correlate with symptom severity. This specific blood panel indicates molecular events in early stages and could help identify at-risk participants for clinical trials aimed at slowing/preventing motor Parkinson’s disease.
- 18 June 2024
- Published by Springer Nature in Nature Communications
- Vol. 15 (1) , 1-18
Top Cited PapersOpen AccessPlasma proteomics identify biomarkers predicting Parkinson’s disease up to 7 years before symptom onset
Parkinson’s disease is increasingly prevalent. It progresses from the pre-motor stage (characterised by non-motor symptoms like REM sleep behaviour disorder), to the disabling motor stage. We need objective biomarkers for early/pre-motor disease stages to be able to intervene and slow the underlying neurodegenerative process. Here, we validate a targeted multiplexed mass spectrometry assay for blood samples from recently diagnosed motor Parkinson’s patients (n = 99), pre-motor individuals with isolated REM sleep behaviour disorder (two cohorts: n = 18 and n = 54 longitudinally), and healthy controls (n = 36). Our machine-learning model accurately identifies all Parkinson patients and classifies 79% of the pre-motor individuals up to 7 years before motor onset by analysing the expression of eight proteins—Granulin precursor, Mannan-binding-lectin-serine-peptidase-2, Endoplasmatic-reticulum-chaperone-BiP, Prostaglaindin-H2-D-isomaerase, Interceullular-adhesion-molecule-1, Complement C3, Dickkopf-WNT-signalling pathway-inhibitor-3, and Plasma-protease-C1-inhibitor. Many of these biomarkers correlate with symptom severity. This specific blood panel indicates molecular events in early stages and could help identify at-risk participants for clinical trials aimed at slowing/preventing motor Parkinson’s disease.
- Open Access
- 8 March 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 24 (6) , 5215
A Proof of Principle Proteomic Study Detects Dystrophin in Human Plasma: Implications in DMD Diagnosis and Clinical Monitoring
Duchenne muscular dystrophy (DMD) is a rare neuromuscular disease caused by pathogenic variations in the DMD gene. There is a need for robust DMD biomarkers for diagnostic screening and to aid therapy monitoring. Creatine kinase, to date, is the only routinely used blood biomarker for DMD, although it lacks specificity and does not correlate with disease severity. To fill this critical gap, we present here novel data about dystrophin protein fragments detected in human plasma by a suspension bead immunoassay using two validated anti-dystrophin-specific antibodies. Using both antibodies, a reduction of the dystrophin signal is detected in a small cohort of plasma samples from DMD patients when compared to healthy controls, female carriers, and other neuromuscular diseases. We also demonstrate the detection of dystrophin protein by an antibody-independent method using targeted liquid chromatography mass spectrometry. This last assay detects three different dystrophin peptides in all healthy individuals analysed and supports our finding that dystrophin protein is detectable in plasma. The results of our proof-of-concept study encourage further studies in larger sample cohorts to investigate the value of dystrophin protein as a low invasive blood biomarker for diagnostic screening and clinical monitoring of DMD.
- 8 March 2023
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 24 (6) , 5215
Open AccessA Proof of Principle Proteomic Study Detects Dystrophin in Human Plasma: Implications in DMD Diagnosis and Clinical Monitoring
Duchenne muscular dystrophy (DMD) is a rare neuromuscular disease caused by pathogenic variations in the DMD gene. There is a need for robust DMD biomarkers for diagnostic screening and to aid therapy monitoring. Creatine kinase, to date, is the only routinely used blood biomarker for DMD, although it lacks specificity and does not correlate with disease severity. To fill this critical gap, we present here novel data about dystrophin protein fragments detected in human plasma by a suspension bead immunoassay using two validated anti-dystrophin-specific antibodies. Using both antibodies, a reduction of the dystrophin signal is detected in a small cohort of plasma samples from DMD patients when compared to healthy controls, female carriers, and other neuromuscular diseases. We also demonstrate the detection of dystrophin protein by an antibody-independent method using targeted liquid chromatography mass spectrometry. This last assay detects three different dystrophin peptides in all healthy individuals analysed and supports our finding that dystrophin protein is detectable in plasma. The results of our proof-of-concept study encourage further studies in larger sample cohorts to investigate the value of dystrophin protein as a low invasive blood biomarker for diagnostic screening and clinical monitoring of DMD.