Evidence map›Paper›PMID 30414012›Full record

ArticleMetabolic brain disease2019

Potential widespread denitrosylation of brain proteins following prolonged restraint: proposed links between stress and central nervous system disease.

Timothy D Foley, Kari S Koval, Alexandria G Gallagher, Stefan H Olsen

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolic brain disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Timothy D FoleyDepartment of Chemistry, University of Scranton, Scranton, PA, 18510, USA. foleyt2@scranton.edu.ORCID http://orcid.org/0000-0002-2378-0703
Kari S KovalDepartment of Chemistry, University of Scranton, Scranton, PA, 18510, USA.
Alexandria G GallagherDepartment of Chemistry, University of Scranton, Scranton, PA, 18510, USA.
Stefan H OlsenDepartment of Chemistry, University of Scranton, Scranton, PA, 18510, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biochemical pathways by which aberrant psychophysiological stress promotes neuronal damage and increases the risks for central nervous system diseases are not well understood. In light of previous findings that psychophysiological stress, modeled by animal restraint, can increase the activities and expression levels of nitric oxide synthase isoforms in multiple brain regions, we examined the effects of restraint, for up to 6 h, on levels of S-nitrosylated proteins and NOx (nitrite + nitrate), a marker for high-level nitric oxide generation, in the brains of rats. Results identify functionally-diverse protein targets of S-nitrosylation in the brain, in vivo, and demonstrate the potential for widespread loss of protein nitrosothiols following prolonged restraint despite a concomitant increase in NOx levels. Since physiological levels of protein S-nitrosylation can protect neurons by maintaining redox homeostasis, by limiting excitatory neurotransmission, and by inhibiting apoptotic and inflammatory pathways, we propose that over-activation of protein denitrosylation pathways following sustained or repeated stress may facilitate neural damage and early stages of stress-related central nervous system disease.

Indexed as

AnimalsBrainNeuronsNitric OxideNitric Oxide SynthaseProteinsProteomicsRatsRestraint, PhysicalStress, PhysiologicalStress, PsychologicalNitric OxideNitric Oxide SynthaseProteinsDenitrosylationNitric oxidePsychophysiological stressS-Nitrosylation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.