Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline

Abstract Background We evaluated Aβ misfolding in combination with Aβ42/40 ratio as a prognostic tool for future clinical progression to mild cognitive impairment (MCI) or dementia due to Alzheimer’s disease (AD) in individuals with subjective cognitive decline (SCD). Methods Baseline plasma samples...

Full description

Bibliographic Details
Main Authors: Julia Stockmann, Inge M. W. Verberk, Nina Timmesfeld, Robin Denz, Brian Budde, Julia Lange-Leifhelm, Philip Scheltens, Wiesje M. van der Flier, Andreas Nabers, Charlotte E. Teunissen, Klaus Gerwert
Format: Article
Language:English
Published: BMC 2020-12-01
Series:Alzheimer’s Research & Therapy
Subjects:
Online Access:https://doi.org/10.1186/s13195-020-00738-8
id doaj-01b9f2a3ace648689f1dd585d885dfe9
record_format Article
spelling doaj-01b9f2a3ace648689f1dd585d885dfe92020-12-27T12:19:24ZengBMCAlzheimer’s Research & Therapy1758-91932020-12-0112111310.1186/s13195-020-00738-8Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive declineJulia Stockmann0Inge M. W. Verberk1Nina Timmesfeld2Robin Denz3Brian Budde4Julia Lange-Leifhelm5Philip Scheltens6Wiesje M. van der Flier7Andreas Nabers8Charlotte E. Teunissen9Klaus Gerwert10Competence Center for Biospectroscopy, Center for Protein Diagnostics (PRODI), Ruhr-University BochumNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit AmsterdamRuhr University Bochum, Department of Medical Informatics, Biometry and EpidemiologyRuhr University Bochum, Department of Medical Informatics, Biometry and EpidemiologyCompetence Center for Biospectroscopy, Center for Protein Diagnostics (PRODI), Ruhr-University BochumCompetence Center for Biospectroscopy, Center for Protein Diagnostics (PRODI), Ruhr-University BochumAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit AmsterdamCompetence Center for Biospectroscopy, Center for Protein Diagnostics (PRODI), Ruhr-University BochumNeurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit AmsterdamCompetence Center for Biospectroscopy, Center for Protein Diagnostics (PRODI), Ruhr-University BochumAbstract Background We evaluated Aβ misfolding in combination with Aβ42/40 ratio as a prognostic tool for future clinical progression to mild cognitive impairment (MCI) or dementia due to Alzheimer’s disease (AD) in individuals with subjective cognitive decline (SCD). Methods Baseline plasma samples (n = 203) from SCD subjects in the SCIENCe project and Amsterdam Dementia Cohort (age 61 ± 9 years; 57% male, mean follow-up time 2.7 years) were analyzed using immuno-infrared-sensor technology. Within 6 years of follow-up, 22 (11%) individuals progressed to MCI or dementia due to AD. Sensor readout values > 1646 cm− 1 reflected normal Aβ folding; readouts at ≤ 1646 cm− 1 reflected low and at < 1644 cm− 1 high misfolding. We used Cox proportional hazard models to quantify Aβ misfolding as a prognostic biomarker for progression to MCI and dementia due to AD. The accuracy of the predicted development of MCI/AD was determined by time-dependent receiver operating characteristic (t-ROC) curve analyses that take individual follow-up and conversion times into account. Statistical models were adjusted for age, sex, and APOEε4 status. Additionally, plasma Aβ42/40 data measured by SIMOA were statistically analyzed and compared. Results All 22 patients who converted to MCI or AD-dementia within 6 years exhibited Aβ misfolding at baseline. Cox analyses revealed a hazard ratio (HR) of 19 (95% confidence interval [CI] 2.2–157.8) for future conversion of SCD subjects with high misfolding and of 11 (95% CI 1.0–110.1) for those with low misfolding. T-ROC curve analyses yielded an area under the curve (AUC) of 0.94 (95% CI 0.86–1.00; 6-year follow-up) for Aβ misfolding in an age, sex, and APOEε4 model. A similar model with plasma Aβ42/40 ratio yielded an AUC of 0.92 (95% CI, 0.82–1.00). The AUC increased to 0.99 (95% CI, 0.99–1.00) after inclusion of both Aβ misfolding and the Aβ42/40 ratio. Conclusions A panel of structure- and concentration-based plasma amyloid biomarkers may predict conversion to clinical MCI and dementia due to AD in cognitively unimpaired subjects. These plasma biomarkers provide a noninvasive and cost-effective alternative for screening early AD pathological changes. Follow-up studies and external validation in larger cohorts are in progress for further validation of our findings.https://doi.org/10.1186/s13195-020-00738-8Alzheimer’s diseaseAmyloid beta (Aβ)Blood plasmaRisk stratificationStructure biomarker
collection DOAJ
language English
format Article
sources DOAJ
author Julia Stockmann
Inge M. W. Verberk
Nina Timmesfeld
Robin Denz
Brian Budde
Julia Lange-Leifhelm
Philip Scheltens
Wiesje M. van der Flier
Andreas Nabers
Charlotte E. Teunissen
Klaus Gerwert
spellingShingle Julia Stockmann
Inge M. W. Verberk
Nina Timmesfeld
Robin Denz
Brian Budde
Julia Lange-Leifhelm
Philip Scheltens
Wiesje M. van der Flier
Andreas Nabers
Charlotte E. Teunissen
Klaus Gerwert
Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
Alzheimer’s Research & Therapy
Alzheimer’s disease
Amyloid beta (Aβ)
Blood plasma
Risk stratification
Structure biomarker
author_facet Julia Stockmann
Inge M. W. Verberk
Nina Timmesfeld
Robin Denz
Brian Budde
Julia Lange-Leifhelm
Philip Scheltens
Wiesje M. van der Flier
Andreas Nabers
Charlotte E. Teunissen
Klaus Gerwert
author_sort Julia Stockmann
title Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
title_short Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
title_full Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
title_fullStr Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
title_full_unstemmed Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer’s disease in individuals with subjective cognitive decline
title_sort amyloid-β misfolding as a plasma biomarker indicates risk for future clinical alzheimer’s disease in individuals with subjective cognitive decline
publisher BMC
series Alzheimer’s Research & Therapy
issn 1758-9193
publishDate 2020-12-01
description Abstract Background We evaluated Aβ misfolding in combination with Aβ42/40 ratio as a prognostic tool for future clinical progression to mild cognitive impairment (MCI) or dementia due to Alzheimer’s disease (AD) in individuals with subjective cognitive decline (SCD). Methods Baseline plasma samples (n = 203) from SCD subjects in the SCIENCe project and Amsterdam Dementia Cohort (age 61 ± 9 years; 57% male, mean follow-up time 2.7 years) were analyzed using immuno-infrared-sensor technology. Within 6 years of follow-up, 22 (11%) individuals progressed to MCI or dementia due to AD. Sensor readout values > 1646 cm− 1 reflected normal Aβ folding; readouts at ≤ 1646 cm− 1 reflected low and at < 1644 cm− 1 high misfolding. We used Cox proportional hazard models to quantify Aβ misfolding as a prognostic biomarker for progression to MCI and dementia due to AD. The accuracy of the predicted development of MCI/AD was determined by time-dependent receiver operating characteristic (t-ROC) curve analyses that take individual follow-up and conversion times into account. Statistical models were adjusted for age, sex, and APOEε4 status. Additionally, plasma Aβ42/40 data measured by SIMOA were statistically analyzed and compared. Results All 22 patients who converted to MCI or AD-dementia within 6 years exhibited Aβ misfolding at baseline. Cox analyses revealed a hazard ratio (HR) of 19 (95% confidence interval [CI] 2.2–157.8) for future conversion of SCD subjects with high misfolding and of 11 (95% CI 1.0–110.1) for those with low misfolding. T-ROC curve analyses yielded an area under the curve (AUC) of 0.94 (95% CI 0.86–1.00; 6-year follow-up) for Aβ misfolding in an age, sex, and APOEε4 model. A similar model with plasma Aβ42/40 ratio yielded an AUC of 0.92 (95% CI, 0.82–1.00). The AUC increased to 0.99 (95% CI, 0.99–1.00) after inclusion of both Aβ misfolding and the Aβ42/40 ratio. Conclusions A panel of structure- and concentration-based plasma amyloid biomarkers may predict conversion to clinical MCI and dementia due to AD in cognitively unimpaired subjects. These plasma biomarkers provide a noninvasive and cost-effective alternative for screening early AD pathological changes. Follow-up studies and external validation in larger cohorts are in progress for further validation of our findings.
topic Alzheimer’s disease
Amyloid beta (Aβ)
Blood plasma
Risk stratification
Structure biomarker
url https://doi.org/10.1186/s13195-020-00738-8
work_keys_str_mv AT juliastockmann amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT ingemwverberk amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT ninatimmesfeld amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT robindenz amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT brianbudde amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT julialangeleifhelm amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT philipscheltens amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT wiesjemvanderflier amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT andreasnabers amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT charlotteeteunissen amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
AT klausgerwert amyloidbmisfoldingasaplasmabiomarkerindicatesriskforfutureclinicalalzheimersdiseaseinindividualswithsubjectivecognitivedecline
_version_ 1724369118007656448