Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins

Sandip Ray; Markus Britschgi; Charles Herbert; Yoshiko Takeda-Uchimura; Adam Boxer; Kaj Blennow; Leah F. Friedman; Douglas R. Galasko; Marek Jutel; Anna Karydas; Jeffrey A. Kaye; Jerzy Leszek; Bruce L. Miller; Lennart Minthon; Joseph F. Quinn; Gil D. Rabinovici; William H. Robinson; Marwan N. Sabbagh; Yuen T. So; D. Larry Sparks; Massimo Tabaton; Jared Tinklenberg; Jerome A. Yesavage; Robert Tibshirani; Tony Wyss-Coray

doi:10.1038/nm1653

Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins

Sandip Ray, Markus Britschgi, Charles Herbert, Yoshiko Takeda-Uchimura, Adam Boxer, Kaj Blennow, Leah F. Friedman, Douglas R. Galasko, Marek Jutel, Anna Karydas, Jeffrey A. Kaye, Jerzy Leszek, Bruce L. Miller, Lennart Minthon, Joseph F. Quinn, Gil D. Rabinovici, William H. Robinson, Marwan N. Sabbagh, Yuen T. So, D. Larry SparksMassimo Tabaton, Jared Tinklenberg, Jerome A. Yesavage, Robert Tibshirani, Tony Wyss-Coray

Neurology

Research output: Contribution to journal › Article › peer-review

907 Scopus citations

Abstract

A molecular test for Alzheimer's disease could lead to better treatment and therapies. We found 18 signaling proteins in blood plasma that can be used to classify blinded samples from Alzheimer's and control subjects with close to 90% accuracy and to identify patients who had mild cognitive impairment that progressed to Alzheimer's disease 2-6 years later. Biological analysis of the 18 proteins points to systemic dysregulation of hematopoiesis, immune responses, apoptosis and neuronal support in presymptomatic Alzheimer's disease.

Original language	English (US)
Pages (from-to)	1359-1362
Number of pages	4
Journal	Nature medicine
Volume	13
Issue number	11
DOIs	https://doi.org/10.1038/nm1653
State	Published - Nov 2007

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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Ray, S., Britschgi, M., Herbert, C., Takeda-Uchimura, Y., Boxer, A., Blennow, K., Friedman, L. F., Galasko, D. R., Jutel, M., Karydas, A., Kaye, J. A., Leszek, J., Miller, B. L., Minthon, L., Quinn, J. F., Rabinovici, G. D., Robinson, W. H., Sabbagh, M. N., So, Y. T., ... Wyss-Coray, T. (2007). Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins. Nature medicine, 13(11), 1359-1362. https://doi.org/10.1038/nm1653

Ray, S, Britschgi, M, Herbert, C, Takeda-Uchimura, Y, Boxer, A, Blennow, K, Friedman, LF, Galasko, DR, Jutel, M, Karydas, A, Kaye, JA, Leszek, J, Miller, BL, Minthon, L, Quinn, JF, Rabinovici, GD, Robinson, WH, Sabbagh, MN, So, YT, Sparks, DL, Tabaton, M, Tinklenberg, J, Yesavage, JA, Tibshirani, R & Wyss-Coray, T 2007, 'Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins', Nature medicine, vol. 13, no. 11, pp. 1359-1362. https://doi.org/10.1038/nm1653

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title = "Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins",

abstract = "A molecular test for Alzheimer's disease could lead to better treatment and therapies. We found 18 signaling proteins in blood plasma that can be used to classify blinded samples from Alzheimer's and control subjects with close to 90% accuracy and to identify patients who had mild cognitive impairment that progressed to Alzheimer's disease 2-6 years later. Biological analysis of the 18 proteins points to systemic dysregulation of hematopoiesis, immune responses, apoptosis and neuronal support in presymptomatic Alzheimer's disease.",

author = "Sandip Ray and Markus Britschgi and Charles Herbert and Yoshiko Takeda-Uchimura and Adam Boxer and Kaj Blennow and Friedman, {Leah F.} and Galasko, {Douglas R.} and Marek Jutel and Anna Karydas and Kaye, {Jeffrey A.} and Jerzy Leszek and Miller, {Bruce L.} and Lennart Minthon and Quinn, {Joseph F.} and Rabinovici, {Gil D.} and Robinson, {William H.} and Sabbagh, {Marwan N.} and So, {Yuen T.} and Sparks, {D. Larry} and Massimo Tabaton and Jared Tinklenberg and Yesavage, {Jerome A.} and Robert Tibshirani and Tony Wyss-Coray",

note = "Funding Information: We are grateful to the individuals who participated in this study. We also thank W. Hueber for critical reading and helpful comments on the manuscript, and numerous unnamed staff of our institutions for their efforts in subject recruitment, diagnostic assessment and blood processing. This study was supported by the John Douglas French Alzheimer{\textquoteright}s Foundation (T.W.-C.), the Alzheimer{\textquoteright}s Association (T.W.-C.), the US National Institute on Aging (T.W.-C., AG20603; J.A.K., J.F.Q., AG08017; D.R.G., AG05131) and Satoris, Inc. We also acknowledge the support of the Veterans Administration Mental Illness Research, Education and Clinical Center and the various Alzheimer{\textquoteright}s Centers sponsored by the US National Institute on Aging.",

year = "2007",

month = nov,

doi = "10.1038/nm1653",

language = "English (US)",

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AU - Ray, Sandip

AU - Britschgi, Markus

AU - Herbert, Charles

AU - Takeda-Uchimura, Yoshiko

AU - Boxer, Adam

AU - Blennow, Kaj

AU - Friedman, Leah F.

AU - Galasko, Douglas R.

AU - Jutel, Marek

AU - Karydas, Anna

AU - Kaye, Jeffrey A.

AU - Leszek, Jerzy

AU - Miller, Bruce L.

AU - Minthon, Lennart

AU - Quinn, Joseph F.

AU - Rabinovici, Gil D.

AU - Robinson, William H.

AU - Sabbagh, Marwan N.

AU - So, Yuen T.

AU - Sparks, D. Larry

AU - Tabaton, Massimo

AU - Tinklenberg, Jared

AU - Yesavage, Jerome A.

AU - Tibshirani, Robert

AU - Wyss-Coray, Tony

N1 - Funding Information: We are grateful to the individuals who participated in this study. We also thank W. Hueber for critical reading and helpful comments on the manuscript, and numerous unnamed staff of our institutions for their efforts in subject recruitment, diagnostic assessment and blood processing. This study was supported by the John Douglas French Alzheimer’s Foundation (T.W.-C.), the Alzheimer’s Association (T.W.-C.), the US National Institute on Aging (T.W.-C., AG20603; J.A.K., J.F.Q., AG08017; D.R.G., AG05131) and Satoris, Inc. We also acknowledge the support of the Veterans Administration Mental Illness Research, Education and Clinical Center and the various Alzheimer’s Centers sponsored by the US National Institute on Aging.

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Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins

Abstract

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