Dataset Information

Venous hypertensive myelopathy LC-MS/MS

ABSTRACT: A major challenge in Spinal Dural Arteriovenous Fistula (SDAVF) was its timely diagnosis, but no specific predictive biomarkers were known. In the discovery cohort (case, n=8 vs. control, n=8), we used cerebrospinal fluid (CSF) and paired plasma samples to identify differentially expressed proteins by label-free quantitative proteomics. Further bioinformatics enrichment analyses were performed to screen target proteins. Finally, it was validated by ELISA experiment in two of the new cohort (case, n=17 vs. control, n=9).

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma, Cerebrospinal Fluid

DISEASE(S): Vascular Myelopathy

SUBMITTER: yinqing wang

LAB HEAD: China International Neuroscience Institute

PROVIDER: PXD030479 | Pride | 2022-08-11

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	MYJ_CSF_CONTROL_1_OTIT_180MIN_20200328.raw	Raw
	MYJ_CSF_CONTROL_2_OTIT_180MIN_20200328.raw	Raw
	MYJ_CSF_CONTROL_3_OTIT_180MIN_20200328.raw	Raw
	MYJ_CSF_CONTROL_4_OTIT_180MIN_20200328.raw	Raw
	MYJ_CSF_YOUCHUAN_1_OTIT_180MIN_20200328.raw	Raw

Items per page:

1 - 5 of 19

Publications

Potential biomarkers of spinal dural arteriovenous fistula: C4BPA and C1QA.

Wang Yinqing Y Ma Yongjie Y Yang Chengbin C Huang Xiahe X Yang Kun K Lan Fei F Fu Jingxuan J Song Zihao Z Tian An A Feng Yueshan Y Tu Tianqi T Li Haifeng H Hong Tao T Wang Yingchun Y Zhang Hongqi H

Journal of neuroinflammation 20220622 1

<h4>Background and purpose</h4>A major challenge in spinal dural arteriovenous fistula (SDAVF) is timely diagnosis, but no specific predictive biomarkers are known.<h4>Methods</h4>In the discovery cohort (case, n = 8 vs. control, n = 8), we used cerebrospinal fluid (CSF) and paired plasma samples to identify differentially expressed proteins by label-free quantitative proteomics. Further bioinformatics enrichment analyses were performed to screen target proteins. Finally, it was validated by ELI ...[more]

PMID: 35733178

Similar Datasets

Project description:Background Mortality from bacterial meningitis, predominately caused by Streptococcus pneumoniae, exceeds 50% in low and middle income countries in sub-Saharan Africa with high HIV prevalence. Underlying causes of high mortality are poorly understood. We examined the host and pathogen proteome in adults with proven pneumococcal meningitis (PM), testing if differentially expressed proteins in CSF were implicated in outcome. Materials/methods CSF proteomes were analysed by quantitative Mass-Spectrometry. Spectra were identified using the Swissprot human and TIGR4 pneumococcal protein libraries. Proteins were quantitated and analysed against clinical outcome. Unique proteins in PM were identified against published normal CSF proteome. Random-Forest models were used to test for protein signatures discriminating outcome. Proteins of interest were tested for their effects on growth and opsonophagocytic killing of S. pneumoniae. Results CSF proteomes were available for 57 Adults with PM (median age 32 years, 60% male, 70% HIV-1 co-infected, mortality 63%). 360 individual human and 23 pneumococcal proteins were identified. Of the human protein hits, 30% were not expressed in normal CSF, and these were strongly associated with inflammation and primarily related to neutrophil activity. No human protein signature predicted outcome. However, expression of the essential S. pneumoniae protein Elongation Factor Tu (EF-Tu) was significantly increased in CSF of non-survivors (False Discovery Rate (q) <0.001). Expression of EF-Tu was negatively co-correlated against expression of Neutrophil defensin (r 0.4 p p<0.002), but not against complement proteins C3 or Factor H. In vitro, addition of EF-Tu protein impaired S. pneumoniae neutrophil killing when osponised with CSF. Conclusions Excessive CSF levels of S. pneumoniae EF-Tu protein was associated with reduced survival in human meningitis. Preliminary studies show EF-Tu inhibits neutrophil mediated killing of S. pneumoniae in CSF. Further functional studies are required to better understand the mechanistic role of EF-Tu during PM.

Project description:The foundation for integrating mass spectrometry (MS)-based proteomics into systems medicine is to develop standardized start-to-finish and fit-for-purpose workflows for clinical specimens. An essential step in this pursuit is to highlight common ground in a diverse landscape of different sample preparation techniques and LC-MS setups with the aim to explore differences and potential confounding factors as well as to identify areas for improvement with a direct practical benefit. With the aim to benchmark and improve current best practices among the proteomics MS laboratories of the CLINSPECT-M consortium we performed two consecutive round robin studies with full freedom to operate in terms of sample preparation and MS measurements. The six participating study partners were provided with two clinically relevant sample matrices: plasma, and cerebrospinal fluid (CSF). In the first round each laboratory applied their current best practice protocol for the respective matrix, covering laboratory-specific sample proteolysis, liquid chromatography, and MS measurement procedure. All resulting MS files were analyzed centrally by a standardized pipeline. Based on the achieved results and following a fully transparent exchange of all lab-specific protocols within the consortium, each laboratory could improve their methods before measuring the same samples in a second acquisition round. The results of both measurement time points are compared with respect to identifications (IDs), data completeness, retention time and quantitative precision as well as inter-laboratory reproducibility. For instance, the number of identified protein groups was increased on average by 14% for CSF and 5% for plasma from first to second measurement round across participants resulting in a median overlap number of 579 protein groups for CSF and 246 IDs for plasma across setups. The individual performances of participating study centers and the inter-laboratory reproducibility were improved in the second measurement, emphasizing the effect and importance of expert-driven exchange of best practices. In total, the study not only clearly demonstrates the beneficial effect of sharing knowledge and expertise for direct practical improvements but also highlights tendencies such as common limits of detection or preferable preparation strategies.

Project description:Anthocyanins and flavonols are natural compounds that accumulate preferentially in grapevine flowers and fruits. They are among the most abundant flavonoids and play a very important role in grape and wine quality. In particular, they confer and stabilize colour and contribute to other organoleptic characteristics of the final product. Their complex profile in terms of concentration and relative abundance varies among cultivars and makes wine typicity. The synthesis of these compounds is mainly regulated at transcriptional level. Flavonoids accumulate at specific stages and in specific tissues during flower and berry development, as a consequence of the timely expression of the genes necessary for their synthesis. Although the general flavonoid pathway has been genetically and biochemically elucidated and the main determinants of colour have been identified, the molecular reasons of the fine variation among grape cultivars are still not completely understood. To shed light on this issue, extreme genotypes of a segregating population derived from the cross Syrah x Pinot Noir were characterized at transcriptional level. The transcriptome analysis along three berry developmental stages of these genotypes has allowed the identification of a large set of transcripts differentially modulated between the two groups. A population derived from M-bM-^@M-^XSyrahM-bM-^@M-^Y x M-bM-^@M-^XPinot NoirM-bM-^@M-^Y consisting of 170 F1 individuals plus the parental lines was characterized for the content of flavonols and anthocyanins in the skins of mature berries (38E-L; 18M-BM-0Brix). Based on the biochemical data, 4 high- and 4 low-flavonol producers (HFPs and LFPs: F1 16, F1 56, F1 63, F1 223 and F1 64, F1 256, F1 260, PN), two of which having also either very high or very low anthocyanin content (HAPs and LAPs: F1 63, F1 223 and F1 256, F1 260), were selected for gene expression analysis. A representative sample for each individual (one biological replicate) was collected at three berry developmental stages (hard green berry (33E-L, PV), veraison (35E-L, 50% coloured berries, VER) and maturity (38E-L, 18M-BM-0Brix, MAT)) during the 2007 season.