A comprehensive map and functional annotation of the normal human cerebrospinal fluid proteome

Zhang, Yang; Guo, Zhengguang; Zou, Lili; Yang, Yehong; Zhang, Liwei; Ji, Nan; Shao, Chen; Sun, Wei; Wang, Yajie

doi:10.1016/j.jprot.2015.01.017

Cited by 63 publications

(57 citation statements)

References 43 publications

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“…This is also supported by various proteomic studies performed with lumbar CSF, showing that the lumbar proteome contains a CNS-derived fraction, for instance (Guldbrandsen et al, 2014; Zhang et al, 2015). …”

Section: Brain-derived Proteins In Csfmentioning

confidence: 59%

The Connected Steady State Model and the Interdependence of the CSF Proteome and CSF Flow Characteristics

2017

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Here we show that the hydrodynamic radii-dependent entry of blood proteins into cerebrospinal fluid (CSF) can best be modeled with a diffusional system of consecutive interdependent steady states between barrier-restricted molecular flux and bulk flow of CSF. The connected steady state model fits precisely to experimental results and provides the theoretical backbone to calculate the in-vivo hydrodynamic radii of blood-derived proteins as well as individual barrier characteristics. As the experimental reference set we used a previously published large-scale patient cohort of CSF to serum quotient ratios of immunoglobulins in relation to the respective albumin quotients. We related the inter-individual variances of these quotient relationships to the individual CSF flow time and barrier characteristics. We claim that this new concept allows the diagnosis of inflammatory processes with Reibergrams derived from population-based thresholds to be shifted to individualized judgment, thereby improving diagnostic sensitivity. We further use the source-dependent gradient patterns of proteins in CSF as intrinsic tracers for CSF flow characteristics. We assume that the rostrocaudal gradient of blood-derived proteins is a consequence of CSF bulk flow, whereas the slope of the gradient is a consequence of the unidirectional bulk flow and bidirectional pulsatile flow of CSF. Unlike blood-derived proteins, the influence of CSF flow characteristics on brain-derived proteins in CSF has been insufficiently discussed to date. By critically reviewing existing experimental data and by reassessing their conformity to CSF flow assumptions we conclude that the biomarker potential of brain-derived proteins in CSF can be improved by considering individual subproteomic dynamics of the CSF system.

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Section: Brain-derived Proteins In Csfmentioning

confidence: 59%

The Connected Steady State Model and the Interdependence of the CSF Proteome and CSF Flow Characteristics

2017

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“…A total of 1771 proteins were identified in the untreated saliva, and 3147 proteins were identified in the urine. The proteome data for the urine and CSF were reported in our previous studies …”

Section: Resultsmentioning

confidence: 99%

“…In addition, an in‐depth analysis of the urine proteome was conducted by our lab, which increased the number of identified proteins to 6085 . The latest largest‐scale human CSF proteome identified 3256 nonredundant proteins . A recent study expanded the whole saliva proteome coverage to 5500 proteins by a 2D peptide fractionation analysis platform .…”

Section: Resultsmentioning

confidence: 99%

“…As the body fluid is an important target and a rich resource for disease diagnostic and prognostic assessments based on proteomic analysis, human body fluid proteomic database resources must be established. The open‐access online repositories of human urine (http://www.urimarker.com/urine) and CSF (http://www.urimarker.com/csf) are described in two of our previous articles . A combined database, including plasma, urine, CSF, AF, and saliva, was constructed (http://www.urimarker.com/bodyFluids) based on the current work (Figure ).…”

Section: Resultsmentioning

confidence: 99%

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A Comparative Proteomics Analysis of Five Body Fluids: Plasma, Urine, Cerebrospinal Fluid, Amniotic Fluid, and Saliva

Zhao

Yang

Guo

et al. 2018

Proteomics Clinical Apps

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“…By combining immunoaffinity separation with high sensitivity and resolution LC-MS/MS detection, Schutzer et al first established a comprehensive proteome map for normal human cerebrospinal fluid, which consisted of 2630 proteins [154]; using the same analytical strategy they further compared the CSF proteomes of Neurologic Post Treatment Lyme disease (nPTLS) patient, Chronic Fatigue Syndrome (CFS) patient and normal healthy control, and reported on a number of CSF proteins that could be useful for distinguishing nPTLS and CFS [155]. Recently, by combining immunodepletion of 14 HAPs, high-pH reverse-phase separation and high resolution MS/MS detection, Zhang et al constructed a most up-to-date proteome map for CSF, which consisted of 3256 non-redundant proteins [156]. Immunoaffinity separation has also been applied in CSF for biomarker studies of several other neurological diseases, such as Parkinson’s disease [157], Huntington’s disease [158].…”

Section: Proteomic Applications Of Iac In Biofluidsmentioning

confidence: 99%

Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids

Duan

Liu

et al. 2016

Journal of Chromatography B

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Human biofluids, especially blood plasma or serum, hold great potential as the sources of candidate biomarkers for various diseases; however, the enormous dynamic range of protein concentrations in biofluids represents a significant analytical challenge for detecting promising low-abundance proteins. Over the last decade, various immunoaffinity chromatographic methods have been developed and routinely applied for separating low-abundance proteins from the high- and moderate-abundance proteins, thus enabling much more effective detection of low-abundance proteins. Herein, we review the advances of immunoaffinity separation methods and their contributions to the proteomic applications in human biofluids. The limitations and future perspectives of immunoaffinity separation methods are also discussed.

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A comprehensive map and functional annotation of the normal human cerebrospinal fluid proteome

Cited by 63 publications

References 43 publications

The Connected Steady State Model and the Interdependence of the CSF Proteome and CSF Flow Characteristics

The Connected Steady State Model and the Interdependence of the CSF Proteome and CSF Flow Characteristics

A Comparative Proteomics Analysis of Five Body Fluids: Plasma, Urine, Cerebrospinal Fluid, Amniotic Fluid, and Saliva

Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids

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