Home > Research > Publications & Outputs > Differential diagnosis of Alzheimer’s disease u...

Links

Text available via DOI:

View graph of relations

Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood. / Paraskevaidi, Maria; Morais, Camilo; Lima, Kassio et al.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 114, No. 38, 19.09.2017, p. E7929–E7938.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Paraskevaidi, M, Morais, C, Lima, K, Snowden, J, Saxon, J, Richardson, A, Jones, M, Mann, D, Allsop, D, Martin-Hirsch, P & Martin, F 2017, 'Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood', Proceedings of the National Academy of Sciences of the United States of America, vol. 114, no. 38, pp. E7929–E7938. https://doi.org/10.1073/pnas.1701517114

APA

Paraskevaidi, M., Morais, C., Lima, K., Snowden, J., Saxon, J., Richardson, A., Jones, M., Mann, D., Allsop, D., Martin-Hirsch, P., & Martin, F. (2017). Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood. Proceedings of the National Academy of Sciences of the United States of America, 114(38), E7929–E7938. https://doi.org/10.1073/pnas.1701517114

Vancouver

Paraskevaidi M, Morais C, Lima K, Snowden J, Saxon J, Richardson A et al. Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood. Proceedings of the National Academy of Sciences of the United States of America. 2017 Sept 19;114(38):E7929–E7938. Epub 2017 Sept 5. doi: 10.1073/pnas.1701517114

Author

Paraskevaidi, Maria ; Morais, Camilo ; Lima, Kassio et al. / Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood. In: Proceedings of the National Academy of Sciences of the United States of America. 2017 ; Vol. 114, No. 38. pp. E7929–E7938.

Bibtex

@article{7ae02c518ed64947bd7653614ae42d4e,
title = "Differential diagnosis of Alzheimer{\textquoteright}s disease using spectrochemical analysis of blood",
abstract = "The progressive aging of the world{\textquoteright}s population makes a higher prevalence of neurodegenerative diseases inevitable. The necessity for an accurate, but at the same time, inexpensive and minimally invasive, diagnostic test is urgently required, not only to confirm the presence of the disease but also to discriminate between different types of dementia to provide the appropriate management andtreatment. In this study, attenuated total reflection FTIR (ATR-FTIR) spectroscopy combined with chemometric techniques were used to analyze blood plasma samples from our cohort. Blood samples are easily collected by conventional venepuncture, permitting repeated measurements from the same individuals to monitor their progression throughout the years or evaluate any tested drugs.We included 549 individuals: 347 with various neurodegenerative diseases and 202 age-matched healthy individuals. Alzheimer{\textquoteright}s disease (AD; n = 164) was identified with 70% sensitivity and specificity, which after the incorporation of apolipoprotein e4 genotype (APOE e4) information, increased to 86% when individuals carried one or two alleles of e4, and to 72% sensitivity and 77% specificity when individuals did not carry e4 alleles. Early AD cases (n = 14) were identified with 80% sensitivity and 74% specificity. Segregation of AD from dementia with Lewy bodies (DLB; n = 34) was achieved with 90% sensitivity and specificity. Other neurodegenerative diseases, such as frontotemporal dementia (FTD; n = 30), Parkinson{\textquoteright}s disease (PD; n = 32), and progressive supranuclear palsy (PSP; n = 31), were included in our cohort for diagnostic purposes. Our method allows for both rapid and robust diagnosis of neurodegeneration and segregation between different dementias.",
author = "Maria Paraskevaidi and Camilo Morais and Kassio Lima and Julie Snowden and Jennifer Saxon and Anna Richardson and Mathew Jones and David Mann and David Allsop and Pierre Martin-Hirsch and Frank Martin",
year = "2017",
month = sep,
day = "19",
doi = "10.1073/pnas.1701517114",
language = "English",
volume = "114",
pages = "E7929–E7938",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "38",

}

RIS

TY - JOUR

T1 - Differential diagnosis of Alzheimer’s disease using spectrochemical analysis of blood

AU - Paraskevaidi, Maria

AU - Morais, Camilo

AU - Lima, Kassio

AU - Snowden, Julie

AU - Saxon, Jennifer

AU - Richardson, Anna

AU - Jones, Mathew

AU - Mann, David

AU - Allsop, David

AU - Martin-Hirsch, Pierre

AU - Martin, Frank

PY - 2017/9/19

Y1 - 2017/9/19

N2 - The progressive aging of the world’s population makes a higher prevalence of neurodegenerative diseases inevitable. The necessity for an accurate, but at the same time, inexpensive and minimally invasive, diagnostic test is urgently required, not only to confirm the presence of the disease but also to discriminate between different types of dementia to provide the appropriate management andtreatment. In this study, attenuated total reflection FTIR (ATR-FTIR) spectroscopy combined with chemometric techniques were used to analyze blood plasma samples from our cohort. Blood samples are easily collected by conventional venepuncture, permitting repeated measurements from the same individuals to monitor their progression throughout the years or evaluate any tested drugs.We included 549 individuals: 347 with various neurodegenerative diseases and 202 age-matched healthy individuals. Alzheimer’s disease (AD; n = 164) was identified with 70% sensitivity and specificity, which after the incorporation of apolipoprotein e4 genotype (APOE e4) information, increased to 86% when individuals carried one or two alleles of e4, and to 72% sensitivity and 77% specificity when individuals did not carry e4 alleles. Early AD cases (n = 14) were identified with 80% sensitivity and 74% specificity. Segregation of AD from dementia with Lewy bodies (DLB; n = 34) was achieved with 90% sensitivity and specificity. Other neurodegenerative diseases, such as frontotemporal dementia (FTD; n = 30), Parkinson’s disease (PD; n = 32), and progressive supranuclear palsy (PSP; n = 31), were included in our cohort for diagnostic purposes. Our method allows for both rapid and robust diagnosis of neurodegeneration and segregation between different dementias.

AB - The progressive aging of the world’s population makes a higher prevalence of neurodegenerative diseases inevitable. The necessity for an accurate, but at the same time, inexpensive and minimally invasive, diagnostic test is urgently required, not only to confirm the presence of the disease but also to discriminate between different types of dementia to provide the appropriate management andtreatment. In this study, attenuated total reflection FTIR (ATR-FTIR) spectroscopy combined with chemometric techniques were used to analyze blood plasma samples from our cohort. Blood samples are easily collected by conventional venepuncture, permitting repeated measurements from the same individuals to monitor their progression throughout the years or evaluate any tested drugs.We included 549 individuals: 347 with various neurodegenerative diseases and 202 age-matched healthy individuals. Alzheimer’s disease (AD; n = 164) was identified with 70% sensitivity and specificity, which after the incorporation of apolipoprotein e4 genotype (APOE e4) information, increased to 86% when individuals carried one or two alleles of e4, and to 72% sensitivity and 77% specificity when individuals did not carry e4 alleles. Early AD cases (n = 14) were identified with 80% sensitivity and 74% specificity. Segregation of AD from dementia with Lewy bodies (DLB; n = 34) was achieved with 90% sensitivity and specificity. Other neurodegenerative diseases, such as frontotemporal dementia (FTD; n = 30), Parkinson’s disease (PD; n = 32), and progressive supranuclear palsy (PSP; n = 31), were included in our cohort for diagnostic purposes. Our method allows for both rapid and robust diagnosis of neurodegeneration and segregation between different dementias.

U2 - 10.1073/pnas.1701517114

DO - 10.1073/pnas.1701517114

M3 - Journal article

VL - 114

SP - E7929–E7938

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 38

ER -