Cerebrospinal fluid proteomics implicates the granin family in Parkinson’s disease
Open accessAbstract
Parkinson’s disease, the most common age-related movement disorder, is a progressive neurodegenerative disease with unclear etiology. Better understanding of the underlying disease mechanism(s) is an urgent need for the development of disease-modifying therapeutics. Limited studies have been performed in large patient cohorts to identify protein alterations in cerebrospinal fluid (CSF), a proximal site to pathology. We set out to identify disease-relevant protein changes in CSF to gain insights into the etiology of Parkinson’s disease and potentially assist in disease biomarker identification. In this study, we used liquid chromatography-tandem mass spectrometry in data-independent acquisition (DIA) mode to identify Parkinson’s-relevant biomarkers in cerebrospinal fluid. We quantified 341 protein groups in two independent cohorts (n = 196) and a longitudinal cohort (n = 105 samples, representing 40 patients) consisting of Parkinson’s disease and healthy control samples from three different sources. A first cohort of 53 Parkinson’s disease and 72 control samples was analyzed, identifying 53 proteins with significant changes (p < 0.05) in Parkinson’s disease relative to healthy control. We established a biomarker signature and multiple protein ratios that differentiate Parkinson’s disease from healthy controls and validated these results in an independent cohort. The second cohort included 28 Parkinson’s disease and 43 control samples. Independent analysis of these samples identified 41 proteins with significant changes. Evaluation of the overlapping changes between the two cohorts identified 13 proteins with consistent and significant changes (p < 0.05). Importantly, we found the extended granin family proteins as reduced in disease, suggesting a potential common mechanism for the biological reduction in monoamine neurotransmission in Parkinson’s patients. Our study identifies several novel protein changes in Parkinson’s disease cerebrospinal fluid that may be exploited for understanding etiology of disease and for biomarker development.
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Peptides in the C-terminal or N-terminal regions of granin family proteins were found to be decreased in Parkinson's disease.
“Specifically, peptides in the C-terminal or N-terminal regions of granin family proteins were found to be decreased in Parkinson’s.(20)”
From Putting humpty dumpty back together again: what does protein quantification mean in bottom-up proteomics? (2022) · cites this paper as [20]
A study of cerebrospinal fluid in Parkinson's disease found specific tryptic peptides differentially abundant in affected individuals compared with healthy age-matched controls.
“For example, a study of cerebrospinal fluid in Parkinson’s disease found that specific tryptic peptides are differentially abundant in affected individuals compared to healthy, age-matched controls.”
From Putting humpty dumpty back together again: what does protein quantification mean in bottom-up proteomics? (2022) · cites this paper as [20]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482 · see citing works
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108 · see citing works
Poewe, W., Seppi, K., Tanner, C. M., Halliday, G. M., Brundin, P., Volkmann, J., Schrag, A.-E., & Lang, A. E. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.13 · Cited by 5,415 · see citing works
Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders
Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.188 · Cited by 3,076 · see citing works
Mi, H., Muruganujan, A., Ebert, D., Huang, X., & Thomas, P. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1038 · Cited by 2,950 · see citing works
Olsson, B., Lautner, R., Andreasson, U., Öhrfelt, A., Portelius, E., Bjerke, M., Hölttä, M., Rosén, C., Olsson, C., Strobel, G., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00070-3 · Cited by 2,049 · see citing works
Regulation of cadherin-mediated adhesion in morphogenesis
Gumbiner, B. M. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1699 · Cited by 1,523 · see citing works
The Chromogranin–Secretogranin Family
Taupenot, L., Harper, K. L., & O’Connor, D. T. (2003) · New England Journal of Medicine · doi:10.1056/nejmra021405 · Cited by 819 · see citing works
PANTHER Pathway: An Ontology-Based Pathway Database Coupled with Data Analysis Tools
Mi, H., & Thomas, P. D. (2009) · Methods in molecular biology · doi:10.1007/978-1-60761-175-2_7 · Cited by 750 · see citing works
Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion
Tatemoto, K., Efendić, S., Mutt, V., Makk, G., Feistner, G. J., & Barchas, J. D. (1986) · Nature · doi:10.1038/324476a0 · Cited by 681 · see citing works
Callister, S., Barry, R., Adkins, J., Johnson, E. T., Qian, W., Webb‐Robertson, B., Smith, R. D., & Lipton, M. S. W. (2006) · Journal of Proteome Research · doi:10.1021/pr050300l · Cited by 500 · see citing works
Identification and proteomic profiling of exosomes in human cerebrospinal fluid
Street, J. M., Barran, P. E., Mackay, C. L., Weidt, S. K., Balmforth, C., Walsh, T. S., Chalmers, R. T. A., Webb, D. J., & Dear, J. W. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-5 · Cited by 491 · see citing works
Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer's disease
Blennow, K., Dubois, B., Fagan, A. M., Lewczuk, P., de Leon, M. J., & Hampel, H. J. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.02.004 · Cited by 455 · see citing works
Junctional proteins of the blood-brain barrier: New insights into function and dysfunction
Stamatovic, S. M., Johnson, A., Keep, R. F., & Andjelkovic, A. V. (2016) · Tissue Barriers · doi:10.1080/21688370.2016.1154641 · Cited by 436 · see citing works
Abdi, F. A., Quinn, J. F., Jankovic, J. J., McIntosh, M. W., Leverenz, J. B., Peskind, E. R., Nixon, R., Nutt, J. G., Chung, K., Zabetian, C. P., et al. (2006) · Journal of Alzheimer s Disease · doi:10.3233/jad-2006-9309 · Cited by 385 · see citing works
A panel of cerebrospinal fluid potential biomarkers for the diagnosis of Alzheimer's disease
Carrette, O., Demalte, I., Scherl, A., Yalkinoglu, O., Corthals, G. L., Burkhard, P. R., Hochstrasser, D. F., & Sanchez, J. (2003) · PROTEOMICS · doi:10.1002/pmic.200300470 · Cited by 375 · see citing works
Lang, A. E., & Espay, A. J. (2018) · Movement Disorders · doi:10.1002/mds.27360 · Cited by 374 · see citing works
The Extended Granin Family: Structure, Function, and Biomedical Implications
Bartolomucci, A., Possenti, R., Mahata, S. K., Fischer‐Colbrie, R., Loh, Y. P., & Salton, S. R. (2011) · Endocrine Reviews · doi:10.1210/er.2010-0027 · Cited by 343 · see citing works
Blood–Brain Barrier Pathology in Alzheimer's and Parkinson's Disease: Implications for Drug Therapy
Desai, B. S., Monahan, A. J., Carvey, P. M., & Hendey, B. (2007) · Cell Transplantation · doi:10.3727/000000007783464731 · Cited by 339 · see citing works
Identification of Candidate Gene Variants in Korean MODY Families by Whole-Exome Sequencing
Shim, Y. J., Kim, J. E., Hwang, S., Choi, B. S., Choi, B. H., Cho, E.-M., Jang, K. M., & Ko, C. W. (2015) · Hormone Research in Paediatrics · doi:10.1159/000368657 · Cited by 325 · see citing works
Parkinson's disease, insulin resistance and novel agents of neuroprotection
Avilés-Olmos, I., Limousin, P. D., Lees, A. J., & Foltynie, T. (2012) · Brain · doi:10.1093/brain/aws009 · Cited by 284 · see citing works
Specifically neuropathic Gaucher's mutations accelerate cognitive decline in Parkinson's
Liu, G., Boot, B. P., Locascio, J. J., Jansen, I. E., Winder‐Rhodes, S., Eberly, S. W., Elbaz, A., Brice, A., Ravina, B. M., van Hilten, J. J., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24781 · Cited by 264 · see citing works
Self-citationTechnical advances in proteomics: new developments in data-independent acquisition
Hu, A. K., Noble, W. S., & Wolf‐Yadlin, A. (2016) · F1000Research · doi:10.12688/f1000research.7042.1 · Cited by 258 · see citing works
CSF biomarkers and clinical progression of Parkinson disease
Hall, S., Surova, Y., Öhrfelt, A., Zetterberg, H., Lindqvist, D., & Hansson, O. (2014) · Neurology · doi:10.1212/wnl.0000000000001098 · Cited by 236 · see citing works
Lu, J., Li, Q., Xie, H., Chen, Z., Borovitskaya, A., Maclaren, N. K., Notkins, A. L., & Lan, M. S. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.6.2307 · Cited by 209 · see citing works
Targeted Therapies for Parkinson's Disease: From Genetics to the Clinic
Sardi, S. P., Cedarbaum, J. M., & Brundin, P. (2018) · Movement Disorders · doi:10.1002/mds.27414 · Cited by 175 · see citing works
Self-citationLiu, G., Locascio, J. J., Corvol, J., Boot, B. P., Liao, Z., Page, K., Franco, D., Burke, K., Jansen, I. E., Lipsanopoulos, A. T. T., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30122-9 · Cited by 174 · see citing works
Self-citationDementia is associated with Insulin Resistance in patients with Parkinson's Disease
Bosco, D., Plastino, M., Cristiano, D., Colica, C., Ermio, C., Bartolo, M. D., Mungari, P., Fonte, G., Consoli, D., Consoli, A., et al. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2011.12.008 · Cited by 161 · see citing works
Increased blood-cerebrospinal fluid transfer of albumin in advanced Parkinson’s disease
Pisani, V., Stefani, A., Pierantozzi, M., Natoli, S., Stanzione, P., Franciotta, D., & Pisani, A. (2012) · Journal of Neuroinflammation · doi:10.1186/1742-2094-9-188 · Cited by 158 · see citing works
Montesinos, M. S., Machado, J. D., Camacho, M., Vera, J. D., Morales, Y. G., de la Rosa, D. Á., Carmona-Calero, E. M., Castañeyra-Perdomo, A., Viveros, O. H., O’Connor, D. T., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5292-07.2008 · Cited by 131 · see citing works
Identification of CSF biomarkers for frontotemporal dementia using SELDI-TOF
Rüetschi, U., Zetterberg, H., Podust, V. N., Gottfries, J., Li, S., Simonsen, A. H., McGuire, J., Karlsson, M., Rymo, L., Davies, H., et al. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.08.002 · Cited by 129 · see citing works
Non‐motor Parkinson disease: new concepts and personalised management
Titova, N., & Chaudhuri, К. R. (2018) · The Medical Journal of Australia · doi:10.5694/mja17.00993 · Cited by 112 · see citing works
Shi, M. Y., Bradner, J. M., Bammler, T. K., Eaton, D. L., Zhang, J., Ye, Z., Wilson, A. M., Montine, T. J., Pan, C., & Zhang, J. (2009) · American Journal Of Pathology · doi:10.2353/ajpath.2009.081019 · Cited by 85 · see citing works
Mortalin: A Protein Associated With Progression of Parkinson Disease?
Shi, M. Y., Jin, J., Wang, Y., Beyer, R. P., Kitsou, E., Albin, R. L., Gearing, M., Pan, C., & Zhang, J. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e318163354a · Cited by 82 · see citing works
Kubosaki, A., Groß, S., Miura, J., Saeki, K., Zhu, M., Nakamura, S., Hendriks, W. J. A. J., & Notkins, A. L. (2004) · Diabetes · doi:10.2337/diabetes.53.7.1684 · Cited by 82 · see citing works
Edwards, Y. J. K., Beecham, G. W., Scott, W. K., Khuri, S., Bademci, G., Tekin, D., Martin, E. R., Jiang, Z., Mash, D. C., ffrench‐Mullen, J. M. H., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016917 · Cited by 80 · see citing works
Cocco, C., D’Amato, F., Noli, B., Ledda, A., Brancia, C., Bongioanni, P., & Ferri, G. (2010) · Journal of Anatomy · doi:10.1111/j.1469-7580.2010.01309.x · Cited by 75 · see citing works
Surface Expression of Precursor N-cadherin Promotes Tumor Cell Invasion
Maret, D., Gruzglin, E., Sadr, M. S., Siu, V., Shan, W., Koch, A., Seidah, N. G., Maestro, R. F. D., & Colman, D. (2010) · Neoplasia · doi:10.1593/neo.10954 · Cited by 70 · see citing works
The BioFIND study: Characteristics of a clinically typical Parkinson's disease biomarker cohort
Kang, U. J., Goldman, J. G., Alcalay, R. N., Xie, T., Tuite, P., Henchcliffe, C., Hogarth, P., Amara, A. W., Frank, S., Rudolph, A., et al. (2016) · Movement Disorders · doi:10.1002/mds.26613 · Cited by 63 · see citing works
Self-citationVera, J. D., Morales, Y. G., Hernandez-Fernaud, J. R., Camacho, M., Montesinos, M. S., Calegari, F., Huttner, W. Β., Borges, R., & Machado, J. D. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2894-09.2010 · Cited by 56 · see citing works
A NETWORK VIEW ON PARKINSON'S DISEASE
Chandrasekaran, S., & Bonchev, D. (2013) · Computational and Structural Biotechnology Journal · doi:10.5936/csbj.201304004 · Cited by 56 · see citing works
Díaz‐Vera, J., Camacho, M., Machado, J. D., Domínguez, N., Montesinos, M. S., Hernández‐Fernaud, J. R., Luján, R., & Borges, R. (2012) · The FASEB Journal · doi:10.1096/fj.11-181941 · Cited by 55 · see citing works
Nilsson, A., Fälth, M., Zhang, X., Kultima, K., Sköld, K., Svenningsson, P., & Andrén, P. E. (2009) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m800454-mcp200 · Cited by 53 · see citing works
Sinha, A., Srivastava, N., Singh, S. K., Singh, A. K., Bhushan, S., Shukla, R., & Singh, M. P. (2008) · Clinica Chimica Acta · doi:10.1016/j.cca.2008.09.026 · Cited by 46 · see citing works
Caromile, L. A., Oganesian, A., Coats, S. A., Seifer, R., & Bowen‐Pope, D. F. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.066563 · Cited by 45 · see citing works
Cerebrospinal fluid biomarker for Parkinson's disease: An overview
Maass, F., Schulz, I., Lingor, P., Mollenhauer, B., & Bähr, M. (2018) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.12.005 · Cited by 44 · see citing works
Proteomic analysis of the cerebrospinal fluid of Parkinson's disease patients
Guo, J., Sun, Z., Xiao, S., Liu, D., Jin, G., Wang, E., Zhou, J., & Zhou, J. (2009) · Cell Research · doi:10.1038/cr.2009.131 · Cited by 41 · see citing works
Waldner, A., Dassati, S., Redl, B., Smania, N., & Gandolfi, M. (2018) · Parkinson s Disease · doi:10.1155/2018/3751516 · Cited by 33 · see citing works
The Lumenal Domain of the Integral Membrane Protein Phogrin Mediates Targeting to Secretory Granules
Wasmeier, C., Bright, N. A., & Hutton, J. C. (2002) · Traffic · doi:10.1034/j.1600-0854.2002.30907.x · Cited by 32 · see citing works
Li, F., Tian, X., Zhou, Y., Zhu, L.-H., Wang, B., Ding, M., & Pang, H. (2012) · Journal of Neuroscience Research · doi:10.1002/jnr.23121 · Cited by 31 · see citing works
Brekk, O. R., Moskites, A., Ole Isacson, A., & Hallett, P. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-33474-z · Cited by 31 · see citing works
Kikuchi, K., Arawaka, S., Koyama, S., Kimura, H., Ren, C.-H., Wada, M., Kawanami, T., Kurita, K., Daimon, M., Kawakatsu, S., et al. (2003) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(03)01391-3 · Cited by 28 · see citing works
Wada, M., Ren, C.-H., Koyama, S., Arawaka, S., Kawakatsu, S., Kimura, H., Nagasawa, H., Kawanami, T., Kurita, K., Daimon, M., et al. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2003.11.028 · Cited by 28 · see citing works
Opposite Roles of Furin and PC5A in N-Cadherin Processing
Maret, D., Sadr, M. S., Sadr, E. S., Colman, D., Maestro, R. F. D., & Seidah, N. G. (2012) · Neoplasia · doi:10.1593/neo.121250 · Cited by 25 · see citing works
Takamatsu, Y., Ho, G. J., Koike, W., Sugama, S., Takenouchi, T., Waragai, M., Wei, J., Sekiyama, K., & Hashimoto, M. (2017) · npj Parkinson s Disease · doi:10.1038/s41531-016-0001-1 · Cited by 25 · see citing works
The Harvard Biomarker Study's big plan
Mohammadi, D. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70155-8 · Cited by 16 · see citing works
Medhurst, A. D., Zeng, B. ‐., Charles, K. J., Gray, J., Reavill, C., Hunter, A. J., Shale, J. A., & Jenner, P. G. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00190-7 · Cited by 12 · see citing works
Karim, S., Mirza, Z., Kamal, M. A., Abuzenadah, A. M., & Al-Qahtani, M. H. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666141023122803 · Cited by 3 · see citing works
Serum and CSF immunoglobulins G, A and M in 37 intracranial tumors.
Dawani, K., Tayyab, M., & Karira, K. A. (2002) · PubMed · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Human CNS barrier-forming organoids with cerebrospinal fluid production
Pellegrini, L., Bonfio, C., Chadwick, J., Begum, F., Skehel, M., & Lancaster, M. A. (2020) · Science · doi:10.1126/science.aaz5626 · Cited by 412 · see citing works
Proteome profiling of cerebrospinal fluid reveals biomarker candidates for Parkinson’s disease
Karayel, Ö., Winter, S. V., Padmanabhan, S., Kuras, Y. I., Vu, D. T., Tuncali, I., Merchant, K., Wills, A.-M. A., Scherzer, C. R., & Mann, M. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100661 · Cited by 158 · see citing works
Self-citationApplications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research
Neagu, A.-N., Jayathirtha, M., Baxter, E., Donnelly, M., Petre, B. A., & Darie, C. C. (2022) · Molecules · doi:10.3390/molecules27082411 · Cited by 143 · see citing works
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01276-6 · Cited by 132 · see citing works
VGF as a biomarker and therapeutic target in neurodegenerative and psychiatric diseases
Quinn, J. P., Kandigian, S. E., Trombetta, B. A., Arnold, S. E., & Carlyle, B. C. (2021) · Brain Communications · doi:10.1093/braincomms/fcab261 · Cited by 125 · see citing works
Dayon, L., Cominetti, O., & Affolter, M. (2022) · Expert Review of Proteomics · doi:10.1080/14789450.2022.2070477 · Cited by 90 · see citing works
Plubell, D. L., Käll, L., Webb-Robertson, B.-J., Bramer, L. M., Ives, A., Kelleher, N. L., Smith, L. M., Montine, T. J., Wu, C. C., & MacCoss, M. J. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00894 · Cited by 85 · see citing works
López‐Cerdán, A., Andreu, Z., Hidalgo, M. R., Grillo-Risco, R., Català-Senent, J. F., Soler-Sáez, I., Neva-Alejo, A., Gordillo, F., de la Iglesia-Vayá, M., & Garcia‐García, F. (2022) · Biology of Sex Differences · doi:10.1186/s13293-022-00477-5 · Cited by 77 · see citing works
A proteogenomic view of Parkinson’s disease causality and heterogeneity
Kaiser, S., Zhang, L., Mollenhauer, B., Jacob, J., Longerich, S., Del-Aguila, J., Marcus, J., Raghavan, N., Stone, D., Fagboyegun, O., et al. (2023) · npj Parkinson's Disease · doi:10.1038/s41531-023-00461-9 · Cited by 68 · see citing works
Common Factors in Neurodegeneration: A Meta-Study Revealing Shared Patterns on a Multi-Omics Scale
Ruffini, N., Klingenberg, S., Schweiger, S., & Gerber, S. (2020) · Cells · doi:10.3390/cells9122642 · Cited by 65 · see citing works
Advances in Proteomic and Metabolomic Profiling of Neurodegenerative Diseases
Schuh, A. F. S., Bieger, A., Borelli, W. V., Portley, M. K., Awad, P. S., & Bandrés‐Ciga, S. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2021.792227 · Cited by 63 · see citing works
Secreted Chaperones in Neurodegeneration
Chaplot, K., Jarvela, T. S., & Lindberg, I. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00268 · Cited by 59 · see citing works
Biomarkers in Neurodegenerative Diseases: Proteomics Spotlight on ALS and Parkinson’s Disease
Raghunathan, R., Turajane, K., & Wong, L. C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23169299 · Cited by 60 · see citing works
Gan, Y., Ma, L., Zhang, Y., You, J., Guo, Y. X., He, Y., Wang, L., He, X.-Y., Li, Y., Dong, Q., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00818-0 · Cited by 59 · see citing works
Mackmull, M., Nagel, L., Sesterhenn, F., Muntel, J., Großbach, J., Stalder, P., Bruderer, R., Reiter, L., van de Berg, W. D. J., de Souza, N., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00837-0 · Cited by 53 · see citing works
Pasławski, W., Khosousi, S., Hertz, E., Markaki, I., Boxer, A. L., & Svenningsson, P. (2023) · Translational Neurodegeneration · doi:10.1186/s40035-023-00374-w · Cited by 51 · see citing works
Tsukita, K., Sakamaki‐Tsukita, H., Kaiser, S., Zhang, L., Messa, M., Serrano‐Fernández, P., & Takahashi, R. (2023) · Neurology · doi:10.1212/wnl.0000000000207725 · Cited by 37 · see citing works
VGF: A prospective biomarker and therapeutic target for neuroendocrine and nervous system disorders
Wang, Y., Qin, X., Han, Y. J., & Li, B. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113099 · Cited by 33 · see citing works
You, J., Wang, L., Wang, Y., Kang, J., Yu, J., Cheng, W., & Feng, J. (2024) · Neurology · doi:10.1212/wnl.0000000000209531 · Cited by 32 · see citing works
Cerebrospinal Fluid Metabolome in Parkinson’s Disease and Multiple System Atrophy
Kwon, D. H., Hwang, J. S., Kim, S. G., Jang, Y. E., Shin, T. H., & Lee, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031879 · Cited by 28 · see citing works
CSF Protein Level of Neurotransmitter Secretion, Synaptic Plasticity, and Autophagy in PD and DLB
Lerche, S., Sjödin, S., Brinkmalm, A., Blennow, K., Wurster, I., Röeben, B., Zimmermann, M., Hauser, A., Liepelt‐Scarfone, I., Waniek, K., et al. (2021) · Movement Disorders · doi:10.1002/mds.28704 · Cited by 25 · see citing works
Identification of cerebrospinal fluid biomarkers for parkinsonism using a proteomics approach
Marques, T. M., van Rumund, A., Kersten, I., Bruinsma, I. B., Wessels, H. J. C. T., Gloerich, J., Kaffa, C., Esselink, R. A. J., Bloem, B. R., Kuiperij, H. B., et al. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00249-9 · Cited by 23 · see citing works
Mass spectrometry methods for analysis of extracellular matrix components in neurological diseases
Downs, M. J., Zaia, J., & Sethi, M. K. (2022) · Mass Spectrometry Reviews · doi:10.1002/mas.21792 · Cited by 23 · see citing works
Naskar, A., Stezin, A., Dharmappa, A., Hegde, S., Philip, M., Kamble, N. L., Saini, J. S., Sandhya, K., Tatu, U. S., Yadav, R., et al. (2022) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.2c00019 · Cited by 22 · see citing works
Clinical Sphingolipids Pathway in Parkinson’s Disease: From GCase to Integrated-Biomarker Discovery
Esfandiary, A., Finkelstein, D. I., Voelcker, N. H., & Rudd, D. A. (2022) · Cells · doi:10.3390/cells11081353 · Cited by 21 · see citing works
Brain-Biomarker Changes in Body Fluids of Patients with Parkinson’s Disease
Cocco, C., Manai, A. L., Manca, E., & Noli, B. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310932 · Cited by 19 · see citing works
Bartl, M., Nilsson, J., Dakna, M., Weber, S., Schade, S., Xylaki, M., Gomes, B. F., Ernst, M. S., Muntean, M., Sixel‐Döring, F., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00714-1 · Cited by 18 · see citing works
Lindberg, I., Shu, Z., Lam, H. A., Helwig, M., Yucer, N., Laperle, A., Svendsen, C. N., Monte, D. A. D., & Maidment, N. T. (2022) · Journal of Parkinson s Disease · doi:10.3233/jpd-213053 · Cited by 15 · see citing works
Ruffini, N., Klingenberg, S., Heese, R., Schweiger, S., & Gerber, S. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.866886 · Cited by 14 · see citing works
Krauskopf, J., Eggermont, K., Caiment, F., Verfaillie, C. M., & de Kok, T. M. C. M. (2024) · Environment International · doi:10.1016/j.envint.2024.108642 · Cited by 14 · see citing works
Cassotta, M. (2022) · ALTEX · doi:10.14573/altex.2203161 · Cited by 14 · see citing works
Dick, F., Johanson, G. A. S., Tysnes, O., Alves, G. W., Dölle, C., & Tzoulis, C. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04422-y · Cited by 13 · see citing works
Integrative Metabolome and Proteome Analysis of Cerebrospinal Fluid in Parkinson’s Disease
Kim, S. G., Hwang, J. S., George, N. P., Jang, Y. E., Kwon, M., Lee, S. S., & Lee, G. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111406 · Cited by 12 · see citing works
Mravinacová, S., Bergström, S., Olofsson, J., José, N. G. D. S., Anderl‐Straub, S., Diehl‐Schmid, J., Fassbender, K. C., Fließbach, K., Jahn, H., Kornhuber, J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-024-83281-y · Cited by 12 · see citing works
Agrawal, I., Tripathi, P., & Biswas, S. (2022) · Drug Metabolism Reviews · doi:10.1080/03602532.2022.2029475 · Cited by 12 · see citing works
Cerebrospinal Fluid Protein Markers Indicate Neuro-Damage in SARS-CoV-2-Infected Nonhuman Primates
Maity, S., Mayer, M. G., Shu, Q., Hellmers, L., Bao, D., Blair, R. V., He, Y., Lyon, C. J., Hu, Y., Fischer, T., et al. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100523 · Cited by 11 · see citing works
Cerebrospinal fluid protein biomarkers in Parkinson's disease
Faizan, M., Sachan, N., Verma, O., Sarkar, A., Rawat, N., & Singh, M. P. (2024) · Clinica Chimica Acta · doi:10.1016/j.cca.2024.117848 · Cited by 10 · see citing works
Zhu, S., Bäckström, D., Forsgren, L., & Trupp, M. (2022) · Journal of Parkinson s Disease · doi:10.3233/jpd-213031 · Cited by 10 · see citing works
Review: Utility of mass spectrometry in rare disease research and diagnosis
Zhao, T., Hock, D. H., Pitt, J. J., Thorburn, D. R., Stroud, D. A., & Christodoulou, J. (2025) · npj Genomic Medicine · doi:10.1038/s41525-025-00487-3 · Cited by 9 · see citing works
LC–MS peak assignment based on unanimous selection by six machine learning algorithms
Ito, H., Matsui, T., Konno, R., Itakura, M., & Kodera, Y. (2021) · Scientific Reports · doi:10.1038/s41598-021-02899-4 · Cited by 9 · see citing works
Cerebrospinal Fluid Levels of Chromogranin A in Parkinson’s Disease and Multiple System Atrophy
Kaiserová, M., Chudáčková, M., Menšíková, K., Vaštík, M., Kurčová, S., Vranová, H. P., Stejskal, D., & Kaňovský, P. (2021) · Brain Sciences · doi:10.3390/brainsci11020141 · Cited by 9 · see citing works
Oh, S., Jung, J., Kim, J., Jang, Y., Bakker, C. C., Pantelyat, A. Y., Zhang, Z., Dawson, T. M., Na, C. H., & Rosenthal, L. S. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105844 · Cited by 8 · see citing works
Ma, S., Li, R., Gong, Q., Lv, H., Deng, Z., Wang, B., Yao, L., Kang, L., Xiang, D., Yang, J., et al. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00389 · Cited by 8 · see citing works
Biomarkers in Ataxia-Telangiectasia: a Systematic Review
Tiet, M. Y., Biatricia, G. U. T. U., Springall-Jeggo, P., Coman, D. J., Willemsen, M. A. A. P., van Os, N., Doria, M., Donath, H., Schubert, R., Dineen, R. A., et al. (2025) · Journal of Neurology · doi:10.1007/s00415-024-12766-7 · Cited by 7 · see citing works
Sawangareetrakul, P., Ngiwsara, L., Champattanachai, V., Chokchaichamnankit, D., Saharat, K., Cairns, J. R. K., Srisomsap, C., Khwanraj, K., Dharmasaroja, P., Pulkes, T., et al. (2021) · Biomedical Reports · doi:10.3892/br.2021.1412 · Cited by 7 · see citing works
Manca, E., Noli, B., Corda, G., Hassani, M. E., Manai, A. L., Sanna, F., Argiolas, A., Melis, M. R., Manconi, B., Contini, C., et al. (2023) · Annals of Anatomy - Anatomischer Anzeiger · doi:10.1016/j.aanat.2023.152194 · Cited by 6 · see citing works
Cocco, C., Noli, B., Manconi, B., Contini, C., Manca, E., Pisanu, C., Meloni, A., Manchia, M., Paribello, P., Chillotti, C., et al. (2024) · Neuropsychobiology · doi:10.1159/000540673 · Cited by 6 · see citing works
Allen, C. I., Meinl, R., Paez, S. J., Searle, B. C., Just, S., Pino, L. K., & Fondrie, W. E. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00613 · Cited by 6 · see citing works
CSF neurosecretory proteins VGF and neuroserpin in patients with Alzheimer's and Lewy body diseases
Barba, L., Bellomo, G., Oeckl, P., Chiasserini, D., Gaetani, L., Torrigiani, E. G., Paoletti, F. P., Steinacker, P., Abu‐Rumeileh, S., Parnetti, L., et al. (2024) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2024.123059 · Cited by 6 · see citing works
Reichlmeir, M., Duecker, R. P., Röhrich, H., Key, J., Schubert, R., Abell, K., Possemato, A. P., Stokes, M. P., & Auburger, G. W. J. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106756 · Cited by 5 · see citing works
Zafarullah, M., Li, J., Salemi, M., Phinney, B. S., Durbin-Johnson, B. P., Hagerman, R. J., Hessl, D. R., Rivera, S. M., & Tassone, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713477 · Cited by 5 · see citing works
Leveraging machine learning to predict Parkinson's disease using pre-symptomatic proteomics data
Nieves‐Rodriguez, S., Hou, L., Whelan, C. D., Li, S., & Torshizi, A. D. (2025) · Brain · doi:10.1093/brain/awaf303 · Cited by 4 · see citing works
Moreira, D. G., & Jan, A. (2023) · Scientific Data · doi:10.1038/s41597-023-02338-1 · Cited by 3 · see citing works
Athieniti, E., Afxenti, S., Minadakis, G., & Spyrou, G. M. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107288 · Cited by 3 · see citing works
Emerging role of metabolomics in protein conformational disorders
Gupta, N., Ramakrishnan, S., & Wajid, S. (2021) · Expert Review of Proteomics · doi:10.1080/14789450.2021.1948330 · Cited by 3 · see citing works
Voukali, E., & Vinkler, M. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.329002 · Cited by 3 · see citing works
Hwang, J. S., Kim, S. G., George, N. P., Kwon, M., Jang, Y. E., Lee, S. S., & Lee, G. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413260 · Cited by 3 · see citing works
Fricker, L. D., Fakira, A. K., Bobeck, E. N., Raddatz, M. C., Kim, K., DeSchepper, K. D., & Morgan, D. J. (2025) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/j.jpet.2025.103599 · Cited by 2 · see citing works
Xylaki, M., Chopra, A., Kyriachenko, Y., Scherer, J., Otte, B., Dakna, M., Bartl, M., Weber, S., Schade, S., Lenz, C., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262311564 · Cited by 2 · see citing works
Intrinsically disordered proteins in viral pathogenesis and infections
Selvaraj, C., Pravin, M. A., Alhoqail, W. A., Nayarisseri, A., & Singh, S. K. (2022) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2022.06.002 · Cited by 2 · see citing works
He, S., He, X., Pan, R., Pan, L., Lv, X., Jin, Y., Fan, Y., Wang, Y., Tian, Z., & Zhang, S. (2023) · Expert Review of Proteomics · doi:10.1080/14789450.2023.2195096 · Cited by 2 · see citing works
Low synaptic and neurosecretory proteins in cerebrospinal fluid in early parkinsonian disease
Jakobsson, P., Nilsson, J., Nygren, M., Zetterberg, H., Blennow, K., Constantinescu, R., Constantinescu, J., Brinkmalm, A., & Bäckström, D. C. (2025) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2025.123683 · Cited by 3 · see citing works
Zhou, L., Wang, Z., Wen, S., Li, J., Xiong, L., & Zhu, Z. (2021) · Ibrain · doi:10.1002/j.2769-2795.2021.tb00064.x · Cited by 2 · see citing works
Plubell, D. L., Käll, L., Webb‐Robertson, B., Bramer, L., Ives, A. N., Kelleher, N. L., Smith, L. M., Montine, T. J., Wu, C. C., & MacCoss, M. J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.25.428175 · Cited by 2 · see citing works
Changes in the cerebrospinal fluid proteome precede and stratify the course of Parkinson’s DiseasePreprint
Tsukita, K., Sakamaki‐Tsukita, H., Kaiser, S., Zhang, L., Messa, M., Serrano‐Fernández, P., & Takahashi, R. (2022) · medRxiv · doi:10.1101/2022.06.08.22276035 · Cited by 2 · see citing works
Kumar, R., Beric, A., Western, D., Yang, Z., Lin, W., Timsina, J., Cruchaga, C., & Ibáñez, L. (2025) · medRxiv · doi:10.1101/2025.09.25.25336658 · Cited by 2 · see citing works
Regulation of granin neuropeptide gene expression in human brain during development
Demsey, L. L., Podvin, S., & HOOK, V. Y. H. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1666795 · Cited by 1 · see citing works
Targeting Mitochondria in Aging‐Related Diseases: Therapeutic Potential and Obstacles
Xiang, Z., Chen, Y., Liu, X., Lu, H., Yang, Y., Xing, L., Zhang, Y., Lang, C., Zhang, S., Zhao, S., et al. (2026) · MedComm · doi:10.1002/mco2.70790 · Cited by 2 · see citing works
Stezin, A., Sathe, G. J., Gajbhiye, A., Bhardwaj, S., Ghose, V., Bellad, A., Malo, P. K., Holla, V. V., Hegde, S., Bharath, R. D., et al. (2024) · Movement Disorders · doi:10.1002/mds.29834 · Cited by 1 · see citing works
Parkinson’s Disease: Bioinspired Optimization Algorithms for Omics Datasets Monitoring
Skolariki, K., Krokidis, M. G., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P. (2023) · Springer eBooks · doi:10.1007/978-3-319-75922-7_46 · Cited by 1 · see citing works
Mravinacová, S., Bergström, S., Olofsson, J., José, N. G. D. S., Anderl‐Straub, S., Diehl‐Schmid, J., Fassbender, K. C., Fließbach, K., Jahn, H., Kornhuber, J., et al. (2024) · medRxiv · doi:10.1101/2024.05.27.24307739 · Cited by 1 · see citing works
Lindberg, I., Shu, Z., Lam, H. A., Helwig, M., Yucer, N., Laperle, A., Svendsen, C. N., Monte, D. A. D., & Maidment, N. T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.29.462435
López‐Cerdán, A., Andreu, Z., Hidalgo, M. R., Grillo-Risco, R., Català-Senent, J. F., Soler-Sáez, I., Neva-Alejo, A., Gordillo, F., de la Iglesia-Vayá, M., & Garcia‐García, F. (2022) · Research Square · doi:10.21203/rs.3.rs-2058256/v1
Jan, A. (2022) · Research Square · doi:10.21203/rs.3.rs-2422645/v1
Jan, A. (2022) · Research Square · doi:10.21203/rs.3.rs-2422645/v2
Moreira, D. G., & Jan, A. (2023) · Research Square · doi:10.21203/rs.3.rs-2422645/v3
Parkinson’s Disease: Bioinspired Optimization Algorithms for Omics Datasets Monitoring
Skolariki, K., Krokidis, M. G., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P. (2023) · Springer eBooks · doi:10.1007/978-3-319-75479-6_46-1
Investigation of Early Complex Formation of Huntingtin Protein With and Without Lipids
Stonebraker, A. R. (2023) · doi:10.33915/etd.11962
Understanding the Role of CDH4 in Multiple System Atrophy Brain
Isik, F. I., Katzeff, J. S., Fu, Y., & Kim, W. S. (2023) · Journal of Parkinson s Disease · doi:10.3233/jpd-230298
Wang, R., Zhou, K., Li, N., Tang, Y., Gao, H., Qin, L., Cai, H., Yang, F., Luo, C., Feng, S., et al. (2025) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaf204
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910026
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910008
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910020
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910011
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910017
Pasławski, W., Khosousi, S., Hertz, E., Markaki, I., Boxer, A. L., & Svenningsson, P. (2023) · Figshare · doi:10.6084/m9.figshare.24089047
Brockmann, K., Quadalti, C., Lerche, S., Rossi, M., Wurster, I., Baiardi, S., Röeben, B., Mammana, A., Zimmermann, M., Hauser, A.-K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16910023
Membrane traffic defects in Parkinson's disease
Filippini, F. (2021) · theses.fr (ABES) · doi:10.70675/f29962a2z9809z4d07z96efz37cc590008b8
Effect of α-Synuclein Overexpression on NAPP-129 and TLQP-62 in Rat Brain and Plasma
Manai, A. L., Noli, B., Anjum, A., Manca, E., Casu, M. A., Pardon, M., & Cocco, C. (2026) · Medical Sciences · doi:10.3390/medsci14020195
Zhou, Z., Xie, X., Hao, Y., Han, K., Wang, T., Hong, F., Wei, Y., Xie, S., Luo, X., Li, X., et al. (2026) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2026.152244
Cao, R., Bai, X., & Zhong, H. (2026) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2026.1821875
Galal, A. A., Moustafa, A., & Salama, M. (2026) · npj Parkinson s Disease · doi:10.1038/s41531-026-01497-3
Shu, Z., Lam, H. A., Videlock, E. J., Lindberg, I., & Maidment, N. T. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00593-x
Weber, S., Zaplatnikov, Y., Kyriachenko, Y., Schérer, J., Bartl, M., Hansson, O., Mattsson, N., Brazel, D. M., Boyle, E. A., Chahine, L. M., et al. (2026) · medRxiv · doi:10.64898/2026.10.18.26365832
- Authors
- Rotunno, M. S., Lane, M., Zhang, W., Wolf, P., Oliva, P., Viel, C., Wills, A.-M., Alcalay, R. N., Scherzer, C. R., Shihabuddin, L. S., Zhang, K., & Sardi, S. P.
- Affiliations
- Sanofi (United States) (US)
- Massachusetts General Hospital (US)
- Columbia University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Sardi, S. Pablo
- ORCID
- Venue
- Scientific Reports
- Published
- 2020-02-12
- Volume
- 10
- Issue
- 1
- Pages
- 2479-2479
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC7015906
- OpenAlex
- W3005908769
- Cited by
- 94
- References
- 61
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 13 · 2023: 16 · 2022: 24 · 2021: 18 · 2020: 3
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Michael J. Fox Foundation for Parkinson's Research
- Harvard NeuroDiscovery Center
- Brigham and Women's Hospital
- Massachusetts General Hospital
- National Institutes of Health
- National Institute on Aging (R01 AG057331, RF1AG057331, P50AG005134, R01AG005731)
- National Institute of Neurological Disorders and Stroke (U01NS082157, U01NS100603, U01NS095736)
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- Parkinson's disease, cerebrospinal fluid proteomics, biomarkers, disease-modifying therapy, monoamine neurotransmission, neurodegeneration, protein ratio, biomarker signatures
- MeSH terms
- Aged, Chromogranins, Female, Humans, Male, Middle Aged, Parkinson Disease, Biomarkers, Proteomics, Tandem Mass Spectrometry
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