Plasma proteome profile of Lewy body pathology‐positive individuals

Abstract Background Lewy bodies (LB), the main hallmark of Parkinson’s disease (PD), are a frequent co‐pathology in Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB). The varying extents of LB pathology in these disorders can influence disease progression and severity. Consequently, understanding LB impact on the proteomic profile of these diseases is crucial, potentially leading to identifyng novel blood biomarkers related to this pathology which are urgently needed. The aim of this project was to assess novel NULISAseq™ α‐synuclein (αSyn) biomarkers in blood. Considering the prevalence of monomeric αSyn in blood, we investigated whether other plasma proteins identified via NULISAseq™ or protein models could serve as surrogates for LB pathology determined by real‐time quake‐inducing conversion seed amplification assay (SAA). Method The proteomic profile of two independent cohorts was assessed using the NULISAseq™ CNS Disease Panel (Alamar Biosciences). A pilot cohort included amyloid‐β (Aβ)‐positive and SAA‐negative AD patients (n = 30) and Aβ‐negative SAA‐positive patients (DLB, n = 22; PD, n = 2). The TRIAD cohort included young (n = 32), cognitively unimpaired Aβ‐positive and Aβ‐negative (CU+, n = 111; CU‐, n = 26) individuals, Aβ‐positive and Aβ‐negative mild cognitive impairment (MCI+, n = 40; MCI‐, n = 39), as well as AD dementia (ADD, n = 38) and non‐AD (n = 27) patients. LB pathology was confirmed in both cohorts by the same SAA method. Result In the pilot cohort, no differences in plasma αSyn (SNCA, pSyn129, Oligo‐Syn) levels were observed. However, plasma phosphorylated tau‐217 (pTau‐217, logFoldChange (FC) = ‐1.00, p.adj <0.001), enolase‐2 (ENO2, logFC = ‐2.03, p.adj = 0.02), Fms Related Receptor Tyrosine Kinase 1 (FLT1, logFC = 0.54, p.adj = 0.04), and amyloid‐β42 (Aβ42, logFC = 1.09, p.adj = 0.04) were differentially expressed in SAA‐negative vs SAA‐positive patients. Furthermore, the ratio of pTau‐217/FLT1 exhibited the best separation between the SAA‐positive and SAA‐negative groups (AUC = 0.90, 95% CI 0.82‐0.98). The TRIAD cohort was used to validate these results, from which data is to be shown. Conclusion The proteomic profile of LB‐positive is distinct from LB‐negative individuals, with four biomarkers differentially expressed in plasma. We also determined that a combination of these biomarkers may be useful to discriminate SAA‐positive from SAA‐negative individuals. Plasma αSyn levels did not reflect CSF SAA outcome, possibly due to peripheral αSyn expression not reflecting brain pathology.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095217
Primary Topic
Advanced Proteomics Techniques and Applications
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article
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article

Plasma proteome profile of Lewy body pathology‐positive individuals

Bárbara Fernandes Gomes, Andrea Pilotto, Kaj Blennow, Chiara Tolassi et al.
Alzheimer s & Dementia
Advanced Proteomics Techniques and Applications
article

Plasma proteome profile of Lewy body pathology‐positive individuals

Bárbara Fernandes Gomes, Andrea Pilotto, Kaj Blennow, Chiara Tolassi, Andréa Lessa Benedet, Matilde Bongianni, Fabio Moda, Henrik Zetterberg, Gianluigi Zanusso, Alessandro Padovani, Pedro Rosa‐Neto, Nicholas J. Ashton
article en

Abstract

Abstract Background Lewy bodies (LB), the main hallmark of Parkinson’s disease (PD), are a frequent co‐pathology in Alzheimer’s disease (AD) and dementia with Lewy bodies (DLB). The varying extents of LB pathology in these disorders can influence disease progression and severity. Consequently, understanding LB impact on the proteomic profile of these diseases is crucial, potentially leading to identifyng novel blood biomarkers related to this pathology which are urgently needed. The aim of this project was to assess novel NULISAseq™ α‐synuclein (αSyn) biomarkers in blood. Considering the prevalence of monomeric αSyn in blood, we investigated whether other plasma proteins identified via NULISAseq™ or protein models could serve as surrogates for LB pathology determined by real‐time quake‐inducing conversion seed amplification assay (SAA). Method The proteomic profile of two independent cohorts was assessed using the NULISAseq™ CNS Disease Panel (Alamar Biosciences). A pilot cohort included amyloid‐β (Aβ)‐positive and SAA‐negative AD patients (n = 30) and Aβ‐negative SAA‐positive patients (DLB, n = 22; PD, n = 2). The TRIAD cohort included young (n = 32), cognitively unimpaired Aβ‐positive and Aβ‐negative (CU+, n = 111; CU‐, n = 26) individuals, Aβ‐positive and Aβ‐negative mild cognitive impairment (MCI+, n = 40; MCI‐, n = 39), as well as AD dementia (ADD, n = 38) and non‐AD (n = 27) patients. LB pathology was confirmed in both cohorts by the same SAA method. Result In the pilot cohort, no differences in plasma αSyn (SNCA, pSyn129, Oligo‐Syn) levels were observed. However, plasma phosphorylated tau‐217 (pTau‐217, logFoldChange (FC) = ‐1.00, p.adj <0.001), enolase‐2 (ENO2, logFC = ‐2.03, p.adj = 0.02), Fms Related Receptor Tyrosine Kinase 1 (FLT1, logFC = 0.54, p.adj = 0.04), and amyloid‐β42 (Aβ42, logFC = 1.09, p.adj = 0.04) were differentially expressed in SAA‐negative vs SAA‐positive patients. Furthermore, the ratio of pTau‐217/FLT1 exhibited the best separation between the SAA‐positive and SAA‐negative groups (AUC = 0.90, 95% CI 0.82‐0.98). The TRIAD cohort was used to validate these results, from which data is to be shown. Conclusion The proteomic profile of LB‐positive is distinct from LB‐negative individuals, with four biomarkers differentially expressed in plasma. We also determined that a combination of these biomarkers may be useful to discriminate SAA‐positive from SAA‐negative individuals. Plasma αSyn levels did not reflect CSF SAA outcome, possibly due to peripheral αSyn expression not reflecting brain pathology.

Alzheimer s & DementiaVol. 20(S8)
University of Verona (IT), Fondazione IRCCS Istituto Neurologico Carlo Besta (IT), McGill University (CA), University of Brescia (IT), University of Gothenburg (SE)
Openalex Percentile: Top 80%
Advanced Proteomics Techniques and Applications
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