Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology
Open accessAbstract
Blood proteins and their complexes have become the focus of a great deal of interest in the context of their potential as biomarkers of Alzheimer's disease (AD). We used a SOMAscan assay for quantifying 1001 proteins in blood samples from 331 AD, 211 controls, and 149 mild cognitive impaired (MCI) subjects. The strongest associations of protein levels with AD outcomes were prostate‐specific antigen complexed to α1‐antichymotrypsin (AD diagnosis), pancreatic prohormone (AD diagnosis, left entorhinal cortex atrophy, and left hippocampus atrophy), clusterin (rate of cognitive decline), and fetuin B (left entorhinal atrophy). Multivariate analysis found that a subset of 13 proteins predicted AD with an accuracy of area under the curve of 0.70. Our replication of previous findings provides further evidence that levels of these proteins in plasma are truly associated with AD. The newly identified proteins could be potential biomarkers and are worthy of further investigation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Novel and highly sensitive high-throughput protein arrays, such as aptamer-based technologies, immunobased proximity extension assays, or antibody suspension beads arrays, can readily measure large sets of protein libraries in CSF and blood samples.
“novel and highly sensitive high‐throughput protein arrays, such as aptamer‐based technologies, immunobased proximity extension assays, or antibody suspension beads arrays, which can readily measure large sets of protein libraries in CSF and blood samples. 132 , 133 , 134 , 135 , 136 , 137 , 138”
From New developments of biofluid‐based biomarkers for routine diagnosis and disease trajectories in frontotemporal dementia (2022) · cites this paper as [132]
The coverage of proteins on the platform has taken into account proteins known to be relevant to human disease, including neurodegenerative diseases and cardiovascular diseases.
“The coverage of proteins on the platform has taken into account proteins known to be relevant to human disease, including neurodegenerative diseases55 and cardiovascular diseases56; thus it has been widely used for biomarker discovery.”
From Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders (2021) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Aptamer-Based Multiplexed Proteomic Technology for Biomarker Discovery
Gold, L., Ayers, D., Bertino, J., Bock, C., Bock, A., Brody, E. N., Carter, J., Dalby, A. B., Eaton, B. E., Fitzwater, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015004 · Cited by 1,754 · see citing works
Self-citationFagan, A. M., Mintun, M. A., Mach, R. H., Lee, S., Dence, C. S., Shah, A. R., LaRossa, G. N., Spinner, M. L., Klunk, W. E., Mathis, C. A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20730 · Cited by 1,246 · see citing works
Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins
Ray, S., Britschgi, M., Herbert, C., Takeda-Uchimura, Y., Boxer, A., Blennow, K., Friedman, L. F., Galasko, D. R., Jutel, M., Karydas, A., et al. (2007) · Nature Medicine · doi:10.1038/nm1653 · Cited by 1,048 · see citing works
CSF Aβ 42 levels correlate with amyloid-neuropathology in a population-based autopsy study
Strozyk, D., Blennow, K., White, L. R., & Launer, L. J. (2003) · Neurology · doi:10.1212/01.wnl.0000046581.81650.d0 · Cited by 604 · see citing works
Shi, F., Liu, B., Zhou, Y., Yu, C., & Jiang, T. (2009) · Hippocampus · doi:10.1002/hipo.20573 · Cited by 470 · see citing works
Proteome-based plasma biomarkers for Alzheimer's disease
Hye, A., Lynham, S., Thambisetty, M., Čaušević, M., Campbell, J., Byers, H. L., Hooper, C., Rijsdijk, F. V., Tabrizi, S. J., Banner, S. J., et al. (2006) · Brain · doi:10.1093/brain/awl279 · Cited by 463 · see citing works
Self-citationRelationships between biomarkers in aging and dementia
Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181bc010c · Cited by 456 · see citing works
Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease
Doecke, J. D. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1282 · Cited by 420 · see citing works
Thambisetty, M., Simmons, A., Velayudhan, L., Hye, A., Campbell, J., Zhang, Y., Wahlund, L.-O., Westman, E., Kinsey, A., Güntert, A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.78 · Cited by 405 · see citing works
Self-citationShen, L., Kim, S., Risacher, S. L., Nho, K. T., Swaminathan, S., West, J. D., Foroud, T., Pankratz, N., Moore, J. H., Sloan, C., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.042 · Cited by 379 · see citing works
Clark, C. M., Xie, S., Chittams, J., Ewbank, D., Peskind, E., Galasko, D., Morris, J. C., McKeel, D. W., Farlow, M., Weitlauf, S. L., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.12.1696 · Cited by 357 · see citing works
Denecke, B., Gräber, S., Schäfer, C., Heiss, A., Wöltje, M., & Jahnen‐Dechent, W. (2003) · Biochemical Journal · doi:10.1042/bj20030676 · Cited by 287 · see citing works
Grimmer, T., Riemenschneider, M., Förstl, H., Henriksen, G., Klunk, W. E., Mathis, C. A., Shiga, T., Wester, H.-J., Kurz, A., & Drzezga, A. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.01.027 · Cited by 278 · see citing works
Chronic Psychological Distress and Risk of Alzheimer’s Disease in Old Age
Wilson, R. S., Arnold, S. E., Schneider, J. A., Kelly, J. F., Tang, Y., & Bennett, D. A. (2006) · Neuroepidemiology · doi:10.1159/000095761 · Cited by 266 · see citing works
Plasma multianalyte profiling in mild cognitive impairment and Alzheimer disease
Hu, W. T., Holtzman, D. M., Fagan, A. M., Shaw, L. M. J., Perrin, R. J., Arnold, S. E., Grossman, M., Xiong, C., Craig‐Schapiro, R., Clark, C. M., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e318266fa70 · Cited by 234 · see citing works
A Serum Protein–Based Algorithm for the Detection of Alzheimer Disease
O’Bryant, S. E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.215 · Cited by 229 · see citing works
Plasma clusterin and the risk of Alzheimer disease
Schrijvers, E. M. C. (2011) · JAMA · doi:10.1001/jama.2011.381 · Cited by 220 · see citing works
Plasma Biomarkers Associated With the Apolipoprotein E Genotype and Alzheimer Disease
Soares, H. D. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1070 · Cited by 218 · see citing works
AddNeuroMed—The European Collaboration for the Discovery of Novel Biomarkers for Alzheimer's Disease
Lovestone, S., Francis, P. T., Kłoszewska, I., Mecocci, P., Simmons, A., Soininen, H. S., Spenger, C., Tsolaki, M., Vellas, B. J., Wahlund, L., et al. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05064.x · Cited by 211 · see citing works
Self-citationWestman, E., Aguilar, C., Muehlboeck, J., & Simmons, A. (2012) · Brain Topography · doi:10.1007/s10548-012-0246-x · Cited by 206 · see citing works
Self-citationIdentification of oxidized plasma proteins in Alzheimer's disease
Choi, J., Malakowsky, C. A., Talent, J. M., Conrad, C. C., & Gracy, R. W. (2002) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(02)00420-5 · Cited by 183 · see citing works
Mining biomarkers in human sera using proteomic tools
Zhang, R., Barker, L. T., Pinchev, D., Marshall, J. G., Rasamoelisolo, M., Smith, C. R., Kupchak, P., Kireeva, I., Ingratta, L., & Jackowski, G. (2004) · PROTEOMICS · doi:10.1002/pmic.200300495 · Cited by 179 · see citing works
Relationship of Cerebrospinal Fluid Markers to11C-PiB and18F-FDDNP Binding
Tolboom, N., van der Flier, W. M., Yaqub, M. M., Boellaard, R., Verwey, N. A., Blankenstein, M. A., Windhorst, A. D., Scheltens, P., Lammertsma, A. A., & van Berckel, B. N. M. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.064360 · Cited by 160 · see citing works
Wolf, H., Grunwald, M., Kruggel, F., Riedel-Heller, S. G., Angerhöfer, S., Hojjatoleslami, A., Hensel, A., Arendt, T., & Gertz, H.-J. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00238-4 · Cited by 157 · see citing works
Biological Marker Candidates of Alzheimer's Disease in Blood, Plasma, and Serum
Schneider, P., Hampel, H. J., & Büerger, K. (2009) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2009.00104.x · Cited by 151 · see citing works
Abraham, C. R., Shirahama, T., & Potter, H. (1990) · Neurobiology of Aging · doi:10.1016/0197-4580(90)90045-2 · Cited by 150 · see citing works
α1‐Antichymotrypsin as a possible biochemical marker for Alzheimer‐type dementia
Matsubara, E., Hirai, S., Amari, M., Shoji, M., Yamaguchi, H., Okamoto, K., Ishiguro, K., Harigaya, Y., & Wakabayashi, K. (1990) · Annals of Neurology · doi:10.1002/ana.410280414 · Cited by 146 · see citing works
Agrin Is a Major Heparan Sulfate Proteoglycan Accumulating in Alzheimer's Disease Brain
Verbeek, M. M., Otte‐Höller, I., van den Born, J., van den Heuvel, L. P. W. J., David, G., Wesseling, P., & de Waal, R. M. W. (1999) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)65529-0 · Cited by 141 · see citing works
Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease
Björkqvist, M., Ohlsson, M., Minthon, L., & Hansson, O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029868 · Cited by 135 · see citing works
Simmons, A., Westman, E., Muehlboeck, S., Mecocci, P., Vellas, B. J., Tsolaki, M., Kłoszewska, I., Wahlund, L., Soininen, H. S., Lovestone, S., et al. (2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2491 · Cited by 134 · see citing works
Self-citationHertze, J., Minthon, L., Zetterberg, H., Vanmechelen, E., Blennow, K., & Hansson, O. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100207 · Cited by 132 · see citing works
MRI Measures of Alzheimer's Disease and the AddNeuroMed Study
Simmons, A., Westman, E., Muehlboeck, S., Mecocci, P., Vellas, B. J., Tsolaki, M., Kłoszewska, I., Wahlund, L., Soininen, H. S., Lovestone, S., et al. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05063.x · Cited by 128 · see citing works
Self-citationGlycogen synthase kinase-3 is increased in white cells early in Alzheimer's disease
Hye, A., Kerr, F., Archer, N. J., Foy, C., Poppe, M., Brown, R. G., Hamilton, G., Powell, J. F., Anderton, B. H., & Lovestone, S. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.10.031 · Cited by 125 · see citing works
Self-citationCSF and MRI markers independently contribute to the diagnosis of Alzheimer's disease
Schoonenboom, N. S. M., van der Flier, W. M., Blankenstein, M. A., Bouwman, F. H., van Kamp, G. J., Barkhof, F., & Scheltens, P. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.11.018 · Cited by 106 · see citing works
Barnes, J., Scahill, R. I., Schott, J. M., Frost, C. D., Rossor, M. N., & Fox, N. C. (2005) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000084560 · Cited by 105 · see citing works
Plasma Based Markers of [11C] PiB-PET Brain Amyloid Burden
Kiddle, S. J., Thambisetty, M., Simmons, A., Riddoch-Contreras, J., Hye, A., Westman, E., Pike, I., Ward, M., Johnston, C., Lupton, M. K., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044260 · Cited by 100 · see citing works
Self-citationA Blood-Based Algorithm for the Detection of Alzheimer’s Disease
O’Bryant, S. E., Xiao, G., Barber, R. C., Reisch, J., Hall, J. R., Cullum, C. M., Doody, R. S., Fairchild, T., Adams, P. M., Wilhelmsen, K. C., et al. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000330750 · Cited by 96 · see citing works
Aberrant profiles of native and oxidized glycoproteins in Alzheimer plasma
Yu, H., Chertkow, H. M., Bergman, H., & Schipper, H. M. (2003) · PROTEOMICS · doi:10.1002/pmic.200300475 · Cited by 95 · see citing works
Hoe, H.-S., Cooper, M. J., Burns, M. P., Lewis, P. A., van der Brug, M., Chakraborty, G., Cartagena, C. M., Pak, D. T. S., Cookson, M. R., & Rebeck, G. W. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3135-07.2007 · Cited by 90 · see citing works
Licastro, F., Parnetti, L., Morini, M. C., Davis, L. J., Cucinotta, D., GAITI, A., & Senin, U. (1995) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199509020-00009 · Cited by 84 · see citing works
Thambisetty, M., Hye, A., Foy, C., Daly, E., Glover, A., Cooper, A., Simmons, A., Murphy, D., & Lovestone, S. (2008) · Journal of Neurology · doi:10.1007/s00415-008-0006-8 · Cited by 80 · see citing works
Self-citationBiomarkers for disease modification trials--the innovative medicines initiative and AddNeuroMed.
Lovestone, S., Francis, P. T., & Strandgaard, K. (2007) · PubMed · Cited by 72 · see citing works
Self-citationSerum Levels of Pregnancy Zone Protein are Elevated in Presymptomatic Alzheimer’s Disease
IJsselstijn, L., Dekker, L. J. M., Stingl, C., van der Weiden, M. M., Albert Hofman, D., Kros, J. M., Koudstaal, P. J., Smitt, P. A. E. S., Ikram, M. A., Breteler, M. M. B., et al. (2011) · Journal of Proteome Research · doi:10.1021/pr200270z · Cited by 62 · see citing works
Proteomics analysis of plasma for potential biomarkers in the diagnosis of Alzheimer's disease
Liao, P., Yu, L., Kuo, C., Lin, C., & Kuo, Y. (2007) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.200600684 · Cited by 53 · see citing works
Smith, E. R., Nilforooshan, R., Weaving, G., & Tabet, N. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101872 · Cited by 47 · see citing works
Henkel, A. W., Müller, K., Lewczuk, P., Müller, T., Marcus, K., Kornhuber, J., & Wiltfang, J. (2012) · Journal of Neural Transmission · doi:10.1007/s00702-012-0781-3 · Cited by 42 · see citing works
Büerger, K., Ernst, A. S., Ewers, M., Uspenskaya, O., Omerovic, M., Morgenthaler, N. G., Knauer, K., Bergmann, A., & Hampel, H. J. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.01.032 · Cited by 38 · see citing works
Alzheimers Disease, Ceramide, Visfatin and NAD
Adams, J. D., Jr. (2008) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152708787122969 · Cited by 26 · see citing works
Prostate-Specific Antigen in Cerebrospinal Fluid
Melegos, D. N., Freedman, M. S., & Diamandis, E. P. (1997) · Clinical Chemistry · doi:10.1093/clinchem/43.5.855 · Cited by 17 · see citing works
Biomarkers for Alzheimer's disease trials — biomarkers for what? A discussion paper
Lovestone, S., & Thambisetty, M. (2009) · The journal of nutrition health & aging · doi:10.1007/s12603-009-0033-x · Cited by 15 · see citing works
Self-citationFuriak, N. M., Klein, R. W., Kahle‐Wrobleski, K., Siemers, E., Sarpong, E., & Klein, T. M. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-24 · Cited by 14 · see citing works
CSF levels of PSA and PSA–ACT complexes in Alzheimer's disease
Mulder, S. D., Heijst, J. A., Mulder, C., Martens, F., Hack, C. E., Scheltens, P., Blankenstein, M. A., & Veerhuis, R. (2009) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1258/acb.2009.009130 · Cited by 11 · see citing works
Prostate-Specific Antigen Immunoreactivity in Spinal Fluid
Wolff, J. M., Borchers, H., Kunitz, O., Planz, B., & Jakse, G. (2010) · Urologia Internationalis · doi:10.1159/000283070 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Genomic atlas of the human plasma proteome
Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0175-2 · Cited by 2,268 · see citing works
Preclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.002 · Cited by 1,925 · see citing works
Ageing, neurodegeneration and brain rejuvenation
Wyss-Coray, T. (2016) · Nature · doi:10.1038/nature20411 · Cited by 1,147 · see citing works
Undulating changes in human plasma proteome profiles across the lifespan
Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., Moran Losada, P., Berdnik, D., Keller, A., Verghese, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0673-2 · Cited by 981 · see citing works
Connecting genetic risk to disease end points through the human blood plasma proteome
Suhre, K., Arnold, M., Bhagwat, A. M., Cotton, R. J., Engelke, R., Raffler, J., Sarwath, H., Thareja, G., Wahl, A., DeLisle, R. K., et al. (2017) · Nature Communications · doi:10.1038/ncomms14357 · Cited by 800 · see citing works
Assessment of Variability in the SOMAscan Assay
Candia, J., Cheung, F., Kotliarov, Y., Fantoni, G., Sellers, B. A., Griesman, T., Huang, J., Stuccio, S., Zingone, A., Ryan, B. M., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-14755-5 · Cited by 399 · see citing works
Aptamers in the Therapeutics and Diagnostics Pipelines
Kaur, H., Bruno, J. G., Kumar, A., & Sharma, T. K. (2018) · Theranostics · doi:10.7150/thno.25958 · Cited by 368 · see citing works
Yang, C., Farias, F. H. G., Ibanez, L., Suhy, A., Sadler, B., Fernandez, M. V., Wang, F., Bradley, J. L., Eiffert, B., Bahena, J. A., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00886-6 · Cited by 290 · see citing works
Proteomic landscape of Alzheimer’s Disease: novel insights into pathogenesis and biomarker discovery
Bai, B., Vanderwall, D., Li, Y., Wang, X., Poudel, S., Wang, H., Dey, K. K., Chen, P., Yang, K., & Peng, J. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00474-z · Cited by 252 · see citing works
A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status
Sood, S., Gallagher, I. J., Lunnon, K., Rullman, E., Keohane, A., Crossland, H., Phillips, B. E., Cederholm, T., Jensen, T., van Loon, L. J. C., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0750-x · Cited by 240 · see citing works
Self-citationSELEX methods on the road to protein targeting with nucleic acid aptamers
Bayat, P., Nosrati, R., Alibolandi, M., Rafatpanah, H., Abnous, K., Khedri, M., & Ramezani, M. (2018) · Biochimie · doi:10.1016/j.biochi.2018.09.001 · Cited by 241 · see citing works
Soh, J. H., Chan, H., & Ying, J. Y. (2020) · Nano Today · doi:10.1016/j.nantod.2019.100831 · Cited by 231 · see citing works
Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00064-0 · Cited by 212 · see citing works
Peripheral immune system in aging and Alzheimer’s disease
Cao, W., & Zheng, H. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0284-2 · Cited by 214 · see citing works
Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis
Proitsi, P., Kim, M. G., Whiley, L., Simmons, A., Sattlecker, M., Velayudhan, L., Lupton, M. K., Soininen, H., Kłoszewska, I., Mecocci, P., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.08.003 · Cited by 203 · see citing works
Self-citationTrends in aptamer selection methods and applications
Yüce, M., Ullah, N., & Budak, H. (2015) · The Analyst · doi:10.1039/c5an00954e · Cited by 193 · see citing works
Systemic factors as mediators of brain homeostasis, ageing and neurodegeneration
Pluvinage, J. V., & Wyss-Coray, T. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0255-9 · Cited by 191 · see citing works
Jiang, Y., Zhou, X., Ip, F. C. F., Chan, P., Chen, Y., Lai, N. C. H., Cheung, K., Lo, R. M. N., Tong, E. P. S., Wong, B. W. Y., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12369 · Cited by 164 · see citing works
Circulating Proteomic Signatures of Chronological Age
Menni, C., Kiddle, S. J., Mangino, M., Viñuela, A., Psatha, M., Steves, C., Sattlecker, M., Buil, A., Newhouse, S., Nelson, S., et al. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu121 · Cited by 144 · see citing works
Self-citationApplications of biosensors in Alzheimer's disease diagnosis
Brazaca, L. C., Sampaio, I., Zucolotto, V., & Janegitz, B. C. (2019) · Talanta · doi:10.1016/j.talanta.2019.120644 · Cited by 133 · see citing works
Blood-Based Proteomic Biomarkers of Alzheimer’s Disease Pathology
Baird, A. L., Westwood, S., & Lovestone, S. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00236 · Cited by 118 · see citing works
Self-citationA Blood-Based, 7-Metabolite Signature for the Early Diagnosis of Alzheimer's Disease
Olazarán, J., Gil‐de‐Gómez, L., Rodríguez‐Martín, A., Valentí, M., Payo, B. F., Marín-Muñoz, J., Antúnez, C., Frank, A., Acedo, C., Gracia, L. M., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142925 · Cited by 116 · see citing works
Nalivaeva, N. N., Belyaev, N. D., Kerridge, C., & Turner, A. J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00235 · Cited by 104 · see citing works
Stanley, S. K., Vanarsa, K., Soliman, S., Habazi, D., Pedroza, C., Gidley, G., Zhang, T., Mohan, S., Der, E. B., Suryawanshi, H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15986-3 · Cited by 103 · see citing works
Revealing the role of the human blood plasma proteome in obesity using genetic drivers
Zaghlool, S. B., Sharma, S., Molnar, M., Matías‐García, P. R., Elhadad, M. A., Waldenberger, M., Peters, A., Rathmann, W., Graumann, J., Gieger, C., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21542-4 · Cited by 100 · see citing works
Alzheimer’s disease and type 2 diabetes mellitus: A systematic review of proteomic studies
Pereira, J. D., Fraga, V. G., Santos, A. L. M., Ferriani, M. D. G. C., Caramelli, P., & Gomes, K. B. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15166 · Cited by 99 · see citing works
Brazaca, L. C., Moreto, J. R., Martín, A., Tehrani, F., Wang, J., & Zucolotto, V. (2019) · ACS Nano · doi:10.1021/acsnano.9b06571 · Cited by 98 · see citing works
Translation of aptamers toward clinical diagnosis and commercialization
Liu, S., Xu, Y., Xin, J., Tan, H., & Ying, B. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114168 · Cited by 100 · see citing works
Immune biomarkers: the promises and pitfalls of personalized medicine
Willis, J., & Lord, G. M. (2015) · Nature reviews. Immunology · doi:10.1038/nri3820 · Cited by 96 · see citing works
Expression of Immune Related Genes and Possible Regulatory Mechanisms in Alzheimer’s Disease
Lu, Y., Li, K., Hu, Y., & Wang, X. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.768966 · Cited by 94 · see citing works
Corey, K. E., Pitts, R., Lai, M., Loureiro, J., Masia, R., Osganian, S. A., Gustafson, J. L., Hutter, M. M., Gee, D. W., Meireles, O. R., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.09.026 · Cited by 88 · see citing works
Shi, L., Baird, A. L., Westwood, S., Hye, A., Dobson, R., Thambisetty, M., & Lovestone, S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170531 · Cited by 90 · see citing works
Self-citationChallenges and opportunities in stroke genetics
Malik, R., & Dichgans, M. (2018) · Cardiovascular Research · doi:10.1093/cvr/cvy068 · Cited by 90 · see citing works
DeMarshall, C. A., Nagele, E. P., Sarkar, A., Acharya, N. K., Godsey, G. A., Goldwaser, E. L., Kosciuk, M. C., Thayasivam, U., Han, M. C., Belinka, B. A., et al. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.03.002 · Cited by 86 · see citing works
Aging biomarkers and the brain
Higgins‐Chen, A., Thrush, K., & Levine, M. E. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.01.003 · Cited by 86 · see citing works
Sung, Y. J., Yang, C., Norton, J., Johnson, M., Fagan, A., Bateman, R. J., Perrin, R. J., Morris, J. C., Farlow, M. R., Chhatwal, J. P., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.abq5923 · Cited by 84 · see citing works
Zaghlool, S. B., Kühnel, B., Elhadad, M. A., Kader, S. A., Halama, A., Thareja, G., Engelke, R., Sarwath, H., Al‐Dous, E., Mohamoud, Y. A., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13831-w · Cited by 83 · see citing works
Muenchhoff, J., Poljak, A., Song, F., Raftery, M. J., Brodaty, H., Duncan, M. W., McEvoy, M., Attia, J., Schofield, P. W., & Sachdev, P. S. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141266 · Cited by 83 · see citing works
Slot, R. E. R., van Harten, A. C., Kester, M. I., Jongbloed, W., Bouwman, F. H., Teunissen, C. E., Scheltens, P., Veerhuis, R., & van der Flier, W. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151068 · Cited by 82 · see citing works
Advances in nanomedicines for diagnosis of central nervous system disorders
Zhang, X., Zhou, J., Gu, Z., Zhang, H., Gong, Q., & Luo, K. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.120492 · Cited by 79 · see citing works
Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk
Ngo, D., Benson, M. D., Long, J. Z., Chen, Z., Wang, R., Nath, A. K., Keyes, M. J., Shen, D., Sinha, S., Kuhn, E. W., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.144392 · Cited by 76 · see citing works
Shen, L., Liao, L., Chen, C., Guo, Y. C., Song, D., Wang, Y., Chen, Y., Zhang, K., Ying, M., Li, S., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160913 · Cited by 74 · see citing works
State of the science on brain insulin resistance and cognitive decline due to Alzheimer's disease
Rhea, E. M., Leclerc, M., Yassine, H. N., Capuano, A. W., Tong, H., Petyuk, V. A., Macauley, S. L., Fioramonti, X., Carmichael, O., Calon, F., et al. (2023) · Aging and disease · doi:10.14336/ad.2023.0814 · Cited by 70 · see citing works
Zhu, A., Wu, Z., Zhong, X., Ni, J., Li, Y., Meng, J., Du, C., Zhao, X. Y., Nakanishi, H., & Wu, S. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170630 · Cited by 70 · see citing works
Xu, J., Bankov, G., Kim, M. G., Wretlind, A., Lord, J., Green, R., Hodges, A., Hye, A., Aarsland, D., Velayudhan, L., et al. (2020) · Translational Neurodegeneration · doi:10.1186/s40035-020-00215-0 · Cited by 66 · see citing works
Self-citationThe Worldwide Alzheimer's Disease Neuroimaging Initiative: An update
Hendrix, J. A., Finger, B., Weiner, M. W., Frisoni, G. B., Iwatsubo, T., Rowe, C. C., Kim, S. Y., Guinjoan, S. M., Sevlever, G. E., & Carrillo, M. C. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.008 · Cited by 65 · see citing works
Voyle, N., Keohane, A., Newhouse, S., Lunnon, K., Johnston, C., Soininen, H. S., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B. J., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150440 · Cited by 62 · see citing works
Self-citationO’Dwyer, D. N., Norman, K. C., Xia, M., Huang, Y., Gurczynski, S. J., Ashley, S. L., White, E. S., Flaherty, K. R., Martínez, F. J., Murray, S., et al. (2017) · Scientific Reports · doi:10.1038/srep46560 · Cited by 64 · see citing works
Clinical Features of Psoriatic Arthritis: a Comprehensive Review of Unmet Clinical Needs
McArdle, A., Pennington, S. R., & FitzGerald, O. (2017) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-017-8630-7 · Cited by 64 · see citing works
O’Bryant, S. E., Lista, S., Rissman, R. A., Edwards, M., Zhang, F., Hall, J. R., Zetterberg, H., Lovestone, S., Gupta, V. B., Graff‐Radford, N. R., et al. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.12.003 · Cited by 63 · see citing works
Self-citationComplement Biomarkers as Predictors of Disease Progression in Alzheimer’s Disease
Hakobyan, S., Harding, K. E., Aiyaz, M., Hye, A., Dobson, R., Baird, A. L., Liu, B., Harris, C. L., Lovestone, S., & Morgan, B. P. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160420 · Cited by 63 · see citing works
Self-citationMayo, S., Benito‐León, J., Peña‐Bautista, C., Baquero, M., & Cháfer‐Pericás, C. (2020) · Current Neuropharmacology · doi:10.2174/1570159x19666201223154009 · Cited by 60 · see citing works
Customised nucleic acid libraries for enhanced aptamer selection and performance
Pfeiffer, F., Rosenthal, M., Siegl, J., Ewers, J., & Mayer, G. (2017) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2017.03.026 · Cited by 59 · see citing works
The role of human kallikrein 6, clusterin and adiponectin as potential blood biomarkers of dementia
Dukić, L., Šimundić, A.-M., Martinić-Popović, I., Kačkov, S., Diamandis, A., Begcevic, I., & Diamandis, E. P. (2015) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2015.10.014 · Cited by 56 · see citing works
Plasma proteomic signatures predict dementia and cognitive impairment
Tanaka, T., Lavery, R. F., Varma, V. R., Fantoni, G., Colpo, M., Thambisetty, M., Candia, J., Resnick, S. M., Bennett, D. A., Biancotto, A., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12018 · Cited by 54 · see citing works
Soomro, S., Venkateswaran, S., Vanarsa, K., Kharboutli, M., Nidhi, M., Susarla, R., Zhang, T., Sasidharan, P., Lee, K. H., Rosh, J. R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24235-0 · Cited by 55 · see citing works
Rehiman, S. H., Lim, S. M., Neoh, C. F., Majeed, A. B. A., Chin, A., Tan, M. P., Kamaruzzaman, S. B., & Ramasamy, K. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101066 · Cited by 52 · see citing works
del Campo, M., Zetterberg, H., Gandy, S., Onyike, C. U., Oliveira, F., Udeh‐Momoh, C., Lleó, A., Teunissen, C. E., & Pijnenburg, Y. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12643 · Cited by 52 · see citing works
Blood protein predictors of brain amyloid for enrichment in clinical trials?
Ashton, N. J., Kiddle, S. J., Graf, J. F., Ward, M. A., Baird, A. L., Hye, A., Westwood, S., Wong, K. V., Dobson, R., Rabinovici, G. D., et al. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.005 · Cited by 53 · see citing works
Self-citationPetek, L. M., Rickard, A. M., Budech, C. B., Poliachik, S. L., Shaw, D., Ferguson, M. R., Tawil, R., Friedman, S. D., & Miller, D. G. (2016) · Neuromuscular Disorders · doi:10.1016/j.nmd.2016.04.012 · Cited by 53 · see citing works
Narzo, A. D., Telesco, S., Brodmerkel, C. M., Argmann, C., Peters, L. A., Li, K., Kidd, B. A., Dudley, J. T., Cho, J. H., Schadt, E. E., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006565 · Cited by 51 · see citing works
Kiddle, S. J., Steves, C. J., Mehta, M. A., Simmons, A., Xu, X., Newhouse, S., Sattlecker, M., Ashton, N. J., Bazenet, C. E., Killick, R., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.78 · Cited by 51 · see citing works
Self-citationBlood Protein Markers of Neocortical Amyloid-β Burden: A Candidate Study Using SOMAscan Technology
Voyle, N., Baker, D., Burnham, S. C., Covin, A., Zhang, Z., Sangurdekar, D. P., Hehir, C. A. T., Bazenet, C. E., Lovestone, S., Kiddle, S. J., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150020 · Cited by 49 · see citing works
Self-citationWestwood, S., Liu, B., Baird, A. L., Anand, S. N., Nevado‐Holgado, A. J., Newby, D., Pikkarainen, M., Hallikainen, M., Kuusisto, J., Streffer, J. R., et al. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0258-6 · Cited by 50 · see citing works
Self-citationPlasma proteins related to inflammatory diet predict future cognitive impairment
Duggan, M. R., Butler, L., Peng, Z., Daya, G. N., Moghekar, A., An, Y., Rapp, S. R., Hayden, K. M., Shadyab, A. H., Natale, G., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-01975-7 · Cited by 51 · see citing works
Probing the colorectal cancer proteome for biomarkers: Current status and perspectives
Lee, P. Y., Chin, S., Low, T. Y., & Jamal, R. (2018) · Journal of Proteomics · doi:10.1016/j.jprot.2018.06.014 · Cited by 45 · see citing works
Chiam, J. T. W., Dobson, R., Kiddle, S. J., & Sattlecker, M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140816 · Cited by 46 · see citing works
Self-citationDeep molecular phenotypes link complex disorders and physiological insult to CpG methylation
Zaghlool, S. B., Mook‐Kanamori, D. O., Kader, S. A., Stephan, N., Halama, A., Engelke, R., Sarwath, H., Al‐Dous, E., Mohamoud, Y. A., Roemisch‐Margl, W., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy006 · Cited by 46 · see citing works
Immunocapture strategies in translational proteomics
Fredolini, C., Byström, S., Pin, E., Edfors, F., Tamburro, D., Iglesias, M. J., Månberg, A., Hong, M., Uhlén, M., Nilsson, P., et al. (2015) · Expert Review of Proteomics · doi:10.1586/14789450.2016.1111141 · Cited by 45 · see citing works
Muenchhoff, J., Poljak, A., Thalamuthu, A., Gupta, V. B., Chatterjee, P., Raftery, M. J., Masters, C. L., Morris, J. C., Bateman, R. J., Fagan, A. M., et al. (2016) · Scientific Reports · doi:10.1038/srep29078 · Cited by 45 · see citing works
Tarnanas, I., Tsolaki, A., Wiederhold, M. D., Wiederhold, B. K., & Tsolaki, M. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.10.005 · Cited by 43 · see citing works
Self-citationFrick, E. A., Emilsson, V., Jónmundsson, Þ., Steindorsdottir, A. E., Johnson, E. C. B., Puerta, R., Dammer, E. B., Shantaraman, A., Cano, A. C., Boada, M., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00693-1 · Cited by 45 · see citing works
Weighted Protein Interaction Network Analysis of Frontotemporal Dementia
Ferrari, R., Lovering, R. C., Hardy, J., Lewis, P. A., & Manzoni, C. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00934 · Cited by 42 · see citing works
Tweedie, D., Karnati, H. K., Mullins, R. J., Pick, C. G., Hoffer, B. J., Goetzl, E. J., Kapogiannis, D., & Greig, N. H. (2020) · eLife · doi:10.7554/elife.55827 · Cited by 42 · see citing works
DeMarshall, C. A., Han, M. C., Nagele, E. P., Sarkar, A., Acharya, N. K., Godsey, G. A., Goldwaser, E. L., Kosciuk, M. C., Thayasivam, U., Belinka, B. A., et al. (2015) · Immunology Letters · doi:10.1016/j.imlet.2015.09.010 · Cited by 41 · see citing works
A Candidate Plasma Protein Classifier to Identify Alzheimer's Disease
Zhao, X., Lejnine, S., Spond, J., Zhang, C., Ramaraj, T. C., Holder, D., Dai, H. A., WEINER, R. S., & Laterza, O. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141149 · Cited by 42 · see citing works
Heo, G., Xu, Y., Wang, E., Ali, M., Oh, H. S., Losada, P. M., Anastasi, F., Escalante, A. G., Puerta, R., Song, S., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00872-8 · Cited by 49 · see citing works
Murota, A., Suzuki, K., Kassai, Y., Miyazaki, T., Morita, R., Kondo, Y., Takeshita, M., Niki, Y., Yoshimura, A., & Takeuchi, T. (2015) · Cytokine · doi:10.1016/j.cyto.2015.12.002 · Cited by 39 · see citing works
Nanostructured materials and nanoparticles for point of care (POC) medical biosensors
Brazaca, L. C., Ribovski, L., Janegitz, B. C., & Zucolotto, V. (2016) · Elsevier eBooks · doi:10.1016/b978-0-08-100072-4.00010-1 · Cited by 39 · see citing works
Dang, U. J., Ziemba, M., Clemens, P. R., Hathout, Y., Conklin, L. S., CINRG Vamorolone 002/003 Investigators, & Hoffman, E. P. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa132 · Cited by 39 · see citing works
Cuvelliez, M., Vandewalle, V., Brunin, M., Beseme, O., Hulot, A., de Groote, P., Amouyel, P., Bauters, C., Marot, G., & Pinet, F. (2019) · Scientific Reports · doi:10.1038/s41598-019-55727-1 · Cited by 38 · see citing works
Flotillin is a Novel Diagnostic Blood Marker of Alzheimer’s Disease
Abdullah, M., Kimura, N., Akatsu, H., Hashizume, Y., Taslima, F., Tachita, T., Iida, S., Zou, K., Matsubara, E., & Michikawa, M. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190908 · Cited by 36 · see citing works
Ashton, N. J., Benedet, A. L., Molfetta, G. D., Pola, I., Anastasi, F., Fernández‐Lebrero, A., Puig‐Pijoan, A., Keshavan, A., Schott, J. M., Tan, K., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14621 · Cited by 36 · see citing works
Sattlecker, M., Khondoker, M. R., Proitsi, P., Williams, S. A., Soininen, H. S., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B. J., Lovestone, S., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-140669 · Cited by 36 · see citing works
Self-citationWestwood, S., Baird, A. L., Hye, A., Ashton, N. J., Nevado‐Holgado, A. J., Anand, S. N., Liu, B., Newby, D., Bazenet, C. E., Kiddle, S. J., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00409 · Cited by 36 · see citing works
Self-citationANMerge: A Comprehensive and Accessible Alzheimer’s Disease Patient-Level Dataset
Birkenbihl, C. J., Westwood, S., Shi, L., Nevado‐Holgado, A. J., Westman, E., Lovestone, S., & Hofmann‐Apitius, M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200948 · Cited by 36 · see citing works
Self-citationLopez-Silva, C., Surapaneni, A., Coresh, J., Reiser, J., Parikh, C. R., Obeid, W., Grams, M. E., & Chen, T. K. (2022) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11700921 · Cited by 36 · see citing works
Network-driven plasma proteomics expose molecular changes in the Alzheimer’s brain
Jaeger, P. A., Lucin, K. M., Britschgi, M., Vardarajan, B. N., Huang, R.-P., Kirby, E. D., Abbey, R. J., Boeve, B. F., Boxer, A. L., Farrer, L. A., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0095-2 · Cited by 34 · see citing works
Peña‐Bautista, C., Baquero, M., Vento, M., & Cháfer‐Pericás, C. (2018) · Current Neuropharmacology · doi:10.2174/1570159x16666180926123722 · Cited by 34 · see citing works
Gupta, V. B., Hone, E., Pedrini, S., Doecke, J. D., O’Bryant, S. E., JAMES, I. R., Bush, A. I., Rowe, C. C., Villemagne, V. L., Ames, D. J., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.04.003 · Cited by 35 · see citing works
Blood Biomarkers for Alzheimer’s Disease: Much Promise, Cautious Progress
Keshavan, A., Heslegrave, A., Zetterberg, H., & Schott, J. M. (2017) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-016-0241-0 · Cited by 34 · see citing works
Koychev, I. G., Reid, G., Nguyen, M., Mentz, R. J., Joyce, D. W., Shah, S. H., & Holman, R. R. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01573-x · Cited by 35 · see citing works
Park, Y. H., Pyun, J., Hodges, A., Jang, J., Bice, P. J., Kim, S., Saykin, A. J., & Nho, K. T. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00919-z · Cited by 33 · see citing works
Self-citationJiang, Y., Uhm, H., Ip, F. C., Ouyang, L., Lo, R. M. N., Cheng, E. Y. L., Cao, X., Tan, C. M. C., Law, B. C. H., Ortiz‐Romero, P., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13676 · Cited by 36 · see citing works
Enhanced Multiplexing Technology for Proteomics
Bowser, B. L., & Robinson, R. A. S. (2023) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-091622-092353 · Cited by 31 · see citing works
Teng, E., Chow, N., Hwang, K., Thompson, P. M., Gylys, K. H., Cole, G. M., Jack, C. R., Shaw, L. M. J., Trojanowski, J. Q., Soares, H. D., et al. (2014) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000368982 · Cited by 31 · see citing works
Qiao, Z., Pan, X., Parlayan, C., Ojima, H., & Kondo, T. (2016) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2016.09.011 · Cited by 30 · see citing works
High-Throughput Identification of the Plasma Proteomic Signature of Inflammatory Bowel Disease
Narzo, A. D., Brodmerkel, C. M., Telesco, S., Argmann, C., Peters, L. A., Li, K., Kidd, B. A., Dudley, J. T., Cho, J. H., Schadt, E. E., et al. (2018) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjy190 · Cited by 30 · see citing works
Yang, C., Farias, F. G., Ibáñez, L., Sadler, B. E., Fernández, M. V., Wang, F., Bradley, J. L., Eiffert, B., Bahena, J. A., Budde, J., et al. (2020) · medRxiv · doi:10.1101/2020.06.25.20140277 · Cited by 29 · see citing works
Gu, J., Wang, L., Zhao, L., Zuo, Y., Gao, S., Gu, H., Wang, Y., & Yu, Y. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.135456 · Cited by 29 · see citing works
- Authors
- Sattlecker, M., Kiddle, S. J., Newhouse, S., Proitsi, P., Nelson, S., Williams, S., Johnston, C., Killick, R., Simmons, A., Westman, E., Hodges, A., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Lovestone, S., AddNeuroMed Consortium, & Dobson, R. J. B.
- Affiliations
- King's College London (GB)
- SomaLogic (United States) (US)
- University of Eastern Finland (FI)
- Medical University of Lodz (PL)
- University of Perugia (IT)
- Aristotle University of Thessaloniki (GR)
- Inserm (FR)
- Corresponding author
- Dobson, Richard J.B.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2014-04-28
- Volume
- 10
- Issue
- 6
- Pages
- 724-734
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2035892094
- Cited by
- 223
- References
- 54
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 19 · 2023: 15 · 2022: 13 · 2021: 26 · 2020: 22 · 2019: 16 · 2018: 18 · 2017: 13 · 2016: 20 · 2015: 26 · 2014: 9
- FWCI
- 17.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Portal (King's College London) (acceptedVersion, cc-by-nc-nd)
- UCL Discovery (University College London) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc-nd)
- Funders
- NIHR Newcastle Biomedical Research Centre
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, biomarkers
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Blood Proteins, Brain, Female, Humans, Magnetic Resonance Imaging, Male, ROC Curve, Cohort Studies, Biomarkers, Logistic Models, Proteomics, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
