Biomarker discovery and analysis platform: Application to Alzheimer's disease

被引:1
|
作者
Kuzdzal, S [1 ]
Lopez, M
Mikulskis, A
Golenko, E
DiCesare, J
Denoyer, E
Patton, W
Ediger, R
Sapp, L
Ziegert, T
Ackloo, S
Wall, MR
Mannion, DP
della Cioppa, G
Wolfe, G
Bennett, D
Melov, S
机构
[1] PerkinElmer Life & Analyt Sci, Boston, MA USA
[2] Predict Diagnost Inc, Vacavilla, CA USA
[3] Buck Inst Age Res, Novato, CA USA
[4] Rush Alzheimers Dis Ctr, Chicago, IL 60612 USA
[5] MDS SCIEX, Concord, ON, Canada
关键词
D O I
10.2144/05394AF01
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This BioXPRESSION Platform was used to process more than 300 human serum samples from Alzheimer's and normal patients. Alzheimer's disease and control samples were fractionated using ProXPRESSION Basic Protein Enrichment Kits. The combination of reproducible fractionation methods with precise and accurate separation, detection and identification resulted in successful, statistically significant protein identifications. Some of the proteins identified in this study have been reported in previous Alzheimer's research studies. Other proteins identified as differentially expressed in this study have not been reported and their possible roles in neuro-degeneration are being explored. Fractionation of Alzheimer's disease and control samples generated highly reproducible spectra by MALDI O-TOF MS and allows researchers to investigate the low molecular weight proteome (i.e. fragmentome). Spectra were used to generate a BAMF Alzheimer's disease fingerprint to successfully classified Alzheimer's disease samples from controls with high sensitivity and specificity. The PerkinElmer biomarker platform enables complementary discovery strategies: identification using PMF and rapid protein profiling (i.e. fingerprinting) using BAMF technology. Knowledge of a protein's identity is important for learning more about a disease processes underlying pathology. The rapid screening capabilities of protein profiling offer incredible potential for improving clinical diagnostics. The performance characteristics described are also well suited to meet the demands of toxicoproteomics and drug efficacy studies. The rapid classification capabilities can be used to screen for and detect adverse effects of drug trials.
引用
收藏
页码:606 / 607
页数:2
相关论文
共 50 条
  • [1] From proteomics to biomarker discovery in Alzheimer's disease
    Ho, L
    Sharma, N
    Blackman, L
    Festa, E
    Reddy, G
    Pasinetti, GM
    [J]. BRAIN RESEARCH REVIEWS, 2005, 48 (02) : 360 - 369
  • [2] Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases
    Cilento, Eugene M.
    Jin, Lorrain
    Stewart, Tessandra
    Shi, Min
    Sheng, Lifu
    Zhang, Jing
    [J]. JOURNAL OF NEUROCHEMISTRY, 2019, 151 (04) : 397 - 416
  • [3] Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
    Winchester, Laura M.
    Harshfield, Eric L.
    Shi, Liu
    Badhwar, Amanpreet
    Al Khleifat, Ahmad
    Clarke, Natasha
    Dehsarvi, Amir
    Lengyel, Imre
    Lourida, Ilianna
    Madan, Christopher R.
    Marzi, Sarah J.
    Proitsi, Petroula
    Rajkumar, Anto P.
    Rittman, Timothy
    Silajdzic, Edina
    Tamburin, Stefano
    Ranson, Janice M.
    Llewellyn, David J.
    [J]. ALZHEIMERS & DEMENTIA, 2023, 19 (12) : 5860 - 5871
  • [4] Biomarker discovery for Alzheimer's disease, frontotemporal lobar degeneration, and Parkinson's disease
    Hu, William T.
    Chen-Plotkin, Alice
    Arnold, Steven E.
    Grossman, Murray
    Clark, Christopher M.
    Shaw, Leslie M.
    McCluskey, Leo
    Elman, Lauren
    Karlawish, Jason
    Hurtig, Howard I.
    Siderowf, Andrew
    Lee, Virginia M. -Y.
    Soares, Holly
    Trojanowski, John Q.
    [J]. ACTA NEUROPATHOLOGICA, 2010, 120 (03) : 385 - 399
  • [5] Biomarker discovery for Alzheimer’s disease, frontotemporal lobar degeneration, and Parkinson’s disease
    William T. Hu
    Alice Chen-Plotkin
    Steven E. Arnold
    Murray Grossman
    Christopher M. Clark
    Leslie M. Shaw
    Leo McCluskey
    Lauren Elman
    Jason Karlawish
    Howard I. Hurtig
    Andrew Siderowf
    Virginia M.-Y. Lee
    Holly Soares
    John Q. Trojanowski
    [J]. Acta Neuropathologica, 2010, 120 : 385 - 399
  • [6] Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma
    Khan, Mostafa J.
    Desaire, Heather
    Lopez, Oscar L.
    Kamboh, M. Ilyas
    Robinson, Rena A. S.
    [J]. JOURNAL OF ALZHEIMERS DISEASE, 2021, 79 (03) : 1327 - 1344
  • [7] Alzheimer's disease cerebrospinal fluid biomarker discovery: A proteomics approach
    D'Ascenzo, M
    Relkin, NR
    Lee, KH
    [J]. CURRENT OPINION IN MOLECULAR THERAPEUTICS, 2005, 7 (06) : 557 - 564
  • [8] The application of lipidomics to biomarker research and pathomechanisms in Alzheimer's disease
    Wong, Matthew W.
    Braidy, Nady
    Poljak, Anne
    Sachdev, Perminder S.
    [J]. CURRENT OPINION IN PSYCHIATRY, 2017, 30 (02) : 136 - 144
  • [9] Systematic Analysis and Biomarker Study for Alzheimer's Disease
    Li, Xinzhong
    Wang, Haiyan
    Long, Jintao
    Pan, Genhua
    He, Taigang
    Anichtchik, Oleg
    Belshaw, Robert
    Albani, Diego
    Edison, Paul
    Green, Elaine K.
    Scott, James
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [10] Systematic Analysis and Biomarker Study for Alzheimer’s Disease
    Xinzhong Li
    Haiyan Wang
    Jintao Long
    Genhua Pan
    Taigang He
    Oleg Anichtchik
    Robert Belshaw
    Diego Albani
    Paul Edison
    Elaine K Green
    James Scott
    [J]. Scientific Reports, 8