Human brain proteome in health and disease

2016 ◽  
Vol 10 (12) ◽  
pp. 1147-1147 ◽  
Author(s):  
Renã A. S. Robinson ◽  
Melanie Föcking ◽  
Daniel Martins-de-Souza
Keyword(s):  
Human Brain ◽  
Brain Proteome ◽  
Health And Disease

scholarly journals Deubiquitylating enzymes in neuronal health and disease

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Fatima Amer-Sarsour ◽  
Alina Kordonsky ◽  
Yevgeny Berdichevsky ◽  
Gali Prag ◽  
Avraham Ashkenazi
Keyword(s):  
Human Brain ◽  
Neurodegenerative Disorders ◽  
Structure And Function ◽  
Pivotal Role ◽  
Protein Homeostasis ◽  
Neuronal Function ◽  
Health And Disease ◽  
And Function

AbstractUbiquitylation and deubiquitylation play a pivotal role in protein homeostasis (proteostasis). Proteostasis shapes the proteome landscape in the human brain and its impairment is linked to neurodevelopmental and neurodegenerative disorders. Here we discuss the emerging roles of deubiquitylating enzymes in neuronal function and survival. We provide an updated perspective on the genetics, physiology, structure, and function of deubiquitylases in neuronal health and disease.

A Proteome-Wide Association Study Identified Candidate Human Brain Proteins Associated with Coffee Consumption

2021 ◽  
Author(s):  
Chun'e Li ◽  
Xiao Liang ◽  
Yumeng Jia ◽  
Yan Wen ◽  
Huijie Zhang ◽  
...  
Keyword(s):  
Human Brain ◽  
Association Study ◽  
Plasma Proteins ◽  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Coffee Consumption ◽  
Genetic Associations ◽  
Brain Proteins ◽  
Genome Wide ◽  
Brain Proteome

Abstract Background Increasing evidence suggests the association between caffeine and the brain and nervous system. However, there is limited research on the genetic associations between coffee consumption subtypes and brain proteome, plasma proteomes, and peripheral metabolites. Methods First, proteome-wide association study (PWAS) of coffee consumption subtypes was performed by integrating two independent genome-wide association study (GWAS) datasets (91,462–502,650 subjects) with two reference human brain proteomes (ROS/MAP and Banner), by using the FUSION pipeline. Second, transcriptome-wide association study (TWAS) analysis of coffee consumption subtypes was conducted by integrating the two gene expression weight references (RNAseq and splicing) of brain RNA-seq and the two GWAS datasets (91,462–502,650 subjects) of coffee consumption subtypes. Finally, we used the LD Score Regression (LDSC) analysis to evaluate the genetic correlations of coffee consumption subtypes with plasma proteomes and peripheral metabolites. Results For the traits related to coffee consumption, we identified 3 common PWAS proteins, such as MADD (P PWAS−Banner−dis=0.0114, P PWAS−ROS/MAP−rep =0.0489). In addition, 11 common TWAS genes were found in two cohorts, such as ARPC2 (P TWAS−splicing−dis =2063×10− 12, P TWAS−splicing−dis =1.25×10− 10, P TWAS−splicing−dis =1.24e-08, P TWAS−splicing−rep =3.25×10− 9 and P TWAS−splicing−rep =3.42×10− 13). Importantly, we have identified 8 common genes between PWAS and TWAS, such as ALDH2 (P PWAS−banner−rep =1.22×10− 22, PTWAS− splicing−dis = 4.54×10− 92). For the LDSC analysis of human plasma proteome, we identified 11 plasma proteins, such as CHL1 (P dis = 0.0151, P rep =0.0438). For the LDSC analysis of blood metabolites, 5 metabolites have been found, such as myo-inositol (P dis = 0.0073, P dis = 0.0152, P dis =0.0414, P rep =0.0216). Conclusions We identified several brain proteins and genes associated with coffee consumption subtypes. In addition, we also detected several candidate plasma proteins and metabolites related to these subtypes.

Human Brain Proteome-Wide Association Study of Depression Identified 24 Proteins as Tractable Targets for Further Mechanistic Studies

2020 ◽  
Vol 87 (9) ◽  
pp. S183
Author(s):  
Thomas S. Wingo ◽  
Yue Liu ◽  
Adriana Lori ◽  
Ekaterina S. Gerasimov ◽  
Duc M. Duong ◽  
...  
Keyword(s):  
Human Brain ◽  
Association Study ◽  
Mechanistic Studies ◽  
Brain Proteome

F94. Human Brain Proteome-Wide Association Study of Longitudinally Assessed Late-Life Depression

2019 ◽  
Vol 85 (10) ◽  
pp. S249
Author(s):  
Aliza Wingo ◽  
Wen Fan ◽  
Nicholas Seyfried ◽  
Duc Duong ◽  
Eric Dammer ◽  
...  
Keyword(s):  
Human Brain ◽  
Association Study ◽  
Late Life ◽  
Late Life Depression ◽  
Brain Proteome

Intranasal Neuropeptide Administration To Target the Human Brain in Health and Disease

2015 ◽  
Vol 12 (8) ◽  
pp. 2767-2780 ◽  
Author(s):  
Maartje S. Spetter ◽  
Manfred Hallschmid
Keyword(s):  
Human Brain ◽  
Health And Disease

scholarly journals Impact of Global Mean Normalization on Regional Glucose Metabolism in the Human Brain

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Kristian N. Mortensen ◽  
Albert Gjedde ◽  
Garth J. Thompson ◽  
Peter Herman ◽  
Maxime J. Parent ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
Human Brain ◽  
Disease Biomarkers ◽  
Eyes Closed ◽  
Positron Emission ◽  
Congenitally Blind ◽  
Eyes Open ◽  
Health And Disease ◽  
The Impact ◽  
Global Mean

Because the human brain consumes a disproportionate fraction of the resting body’s energy, positron emission tomography (PET) measurements of absolute glucose metabolism (CMRglc) can serve as disease biomarkers. Global mean normalization (GMN) of PET data reveals disease-based differences from healthy individuals as fractional changes across regions relative to a global mean. To assess the impact of GMN applied to metabolic data, we compared CMRglc with and without GMN in healthy awake volunteers with eyes closed (i.e., control) against specific physiological/clinical states, including healthy/awake with eyes open, healthy/awake but congenitally blind, healthy/sedated with anesthetics, and patients with disorders of consciousness. Without GMN, global CMRglc alterations compared to control were detected in all conditions except in congenitally blind where regional CMRglc variations were detected in the visual cortex. However, GMN introduced regional and bidirectional CMRglc changes at smaller fractions of the quantitative delocalized changes. While global information was lost with GMN, the quantitative approach (i.e., a validated method for quantitative baseline metabolic activity without GMN) not only preserved global CMRglc alterations induced by opening eyes, sedation, and varying consciousness but also detected regional CMRglc variations in the congenitally blind. These results caution the use of GMN upon PET-measured CMRglc data in health and disease.

Gel-free analysis of the human brain proteome: Application of liquid chromatography and mass spectrometry on biopsy and autopsy samples

PROTEOMICS ◽  
2006 ◽  
Vol 6 (18) ◽  
pp. 4967-4977 ◽  
Author(s):  
Debora Dumont ◽  
Jean-Paul Noben ◽  
Peter Verhaert ◽  
Piet Stinissen ◽  
Johan Robben
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Human Brain ◽  
Brain Proteome

scholarly journals Human brain networks in health and disease

2009 ◽  
Vol 22 (4) ◽  
pp. 340-347 ◽  
Author(s):  
Danielle S Bassett ◽  
Edward T Bullmore
Keyword(s):  
Human Brain ◽  
Brain Networks ◽  
Health And Disease

Great mood in proteomics: Beijing and the HUPO Human Brain Proteome Project

PROTEOMICS ◽  
2005 ◽  
Vol 5 (2) ◽  
pp. 334-336 ◽  
Author(s):  
Michael Hamacher ◽  
Helmut E. Meyer
Keyword(s):  
Human Brain ◽  
Brain Proteome
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