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Institution

VA Palo Alto Healthcare System

HealthcarePalo Alto, California, United States
About: VA Palo Alto Healthcare System is a healthcare organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Population & Health care. The organization has 2548 authors who have published 4605 publications receiving 209938 citations.


Papers
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Journal ArticleDOI
TL;DR: How laminin structure complements function and explore its role in both normal and pathologic processes is defined.

237 citations

Journal ArticleDOI
TL;DR: Systemic administration of anti-VCAM1 antibody or genetic ablation of Vcam1 in BECs counteracts the detrimental effects of plasma from aged individuals on young brains and reverses aging aspects, including microglial reactivity and cognitive deficits, in the brains of aged mice.
Abstract: An aged circulatory environment can activate microglia, reduce neural precursor cell activity and impair cognition in mice. We hypothesized that brain endothelial cells (BECs) mediate at least some of these effects. We observe that BECs in the aged mouse hippocampus express an inflammatory transcriptional profile with focal upregulation of vascular cell adhesion molecule 1 (VCAM1), a protein that facilitates vascular-immune cell interactions. Concomitantly, levels of the shed, soluble form of VCAM1 are prominently increased in the plasma of aged humans and mice, and their plasma is sufficient to increase VCAM1 expression in cultured BECs and the hippocampi of young mice. Systemic administration of anti-VCAM1 antibody or genetic ablation of Vcam1 in BECs counteracts the detrimental effects of plasma from aged individuals on young brains and reverses aging aspects, including microglial reactivity and cognitive deficits, in the brains of aged mice. Together, these findings establish brain endothelial VCAM1 at the blood-brain barrier as a possible target to treat age-related neurodegeneration.

237 citations

Journal ArticleDOI
TL;DR: These results contribute to an evolving body of contemporary evidence regarding the efficacy of high-intensity training in neurorehabilitation and the physiological mechanisms that mediate neural recovery.
Abstract: Background: Repetitive task practice is argued to drive neural plasticity following stroke. However, current evidence reveals that hemiparetic weakness impairs the capacity to perform, and practice, movements appropriately. Here we investigated how power training (i.e., high-intensity, dynamic resistance training) affects recovery of upper-extremity motor function post-stroke. We hypothesized that power training, as a component of upper-extremity rehabilitation, would promote greater functional gains than functional task practice without deleterious consequences. Method: Nineteen chronic hemiparetic individuals were studied using a crossover design. All participants received both functional task practice (FTP) and HYBRID (combined FTP and power training) in random order. Blinded evaluations performed at baseline, following each intervention block and 6-months post-intervention included: Wolf Motor Function Test (WMFT-FAS, Primary Outcome), upper-extremity Fugl-Meyer Motor Assessment, Ashworth Scale, and Functional Independence Measure. Neuromechanical function was evaluated using isometric and dynamic joint torques and concurrent agonist EMG. Biceps stretch reflex responses were evaluated using passive elbow stretches ranging from 60 to 180o/s and determining: EMG onset position threshold, burst duration, burst intensity and passive torque at each speed. Results: Primary outcome: Improvements in WMFT-FAS were significantly greater following HYBRID vs. FTP (p= .049), regardless of treatment order. These functional improvements were retained 6-months post-intervention

235 citations

Journal ArticleDOI
TL;DR: The results demonstrate that the forces and motion sustained by the knee are highly activity‐dependent and that the unique loading characteristics for specific activities should be considered for the design of functional and robust total knee replacements, as well as for rehabilitation programs for patients with knee osteoarthritis or following total knee arthroplasty.

235 citations

Journal ArticleDOI
TL;DR: The findings establish a previously uncharacterized mechanism by which chromatin signaling regulates inflammation programs, and identify SETD6 as a methyltransferase that monomethylated chromatin-associated transcription factor NF-κB subunit RelA at Lys310 (RelAK310me1).
Abstract: Signaling via the methylation of lysine residues in proteins has been linked to diverse biological and disease processes, yet the catalytic activity and substrate specificity of many human protein lysine methyltransferases (PKMTs) are unknown. We screened over 40 candidate PKMTs and identified SETD6 as a methyltransferase that monomethylated chromatin-associated transcription factor NF-κB subunit RelA at Lys310 (RelAK310me1). SETD6-mediated methylation rendered RelA inert and attenuated RelA-driven transcriptional programs, including inflammatory responses in primary immune cells. RelAK310me1 was recognized by the ankryin repeat of the histone methyltransferase GLP, which under basal conditions promoted a repressed chromatin state at RelA target genes through GLP-mediated methylation of histone H3 Lys9 (H3K9). NF-κB-activation-linked phosphorylation of RelA at Ser311 by protein kinase C-ζ (PKC-ζ) blocked the binding of GLP to RelAK310me1 and relieved repression of the target gene. Our findings establish a previously uncharacterized mechanism by which chromatin signaling regulates inflammation programs.

234 citations


Authors

Showing all 2575 results

NameH-indexPapersCitations
Gregg C. Fonarow1611676126516
Jongmin Lee1502257134772
Roger J. Davis147498103478
Eugene C. Butcher14644672849
Gerald M. Reaven13379980351
Paul G. Shekelle132601101639
Helena C. Kraemer13256265755
Glenn M. Chertow12876482401
Lawrence Steinman11963955583
Rudolf H. Moos11962249816
Cornelia M. Weyand11646044948
Jiahuai Han11137949379
Jörg J. Goronzy11142037634
Adolf Pfefferbaum10953040358
Michael F. Green10648545707
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202226
2021439
2020391
2019304
2018311