Evidence map›Paper›PMID 26582991›Full record

ReviewFrontiers in physiology2015

No-dependent signaling pathways in unloaded skeletal muscle.

Boris S Shenkman, Tatiana L Nemirovskaya, Yulia N Lomonosova

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. How Postural Muscle Senses Disuse? Early Signs and Signals.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Redox control of skeletal muscle atrophy.Free radical biology & medicine · 2016
    Review
  12. 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

3 authors at 2 institutions in 1 country.

Boris S ShenkmanInstitute of Biomedical Problems, Russian Academy of Sciences Moscow, Russia.
Tatiana L NemirovskayaInstitute of Biomedical Problems, Russian Academy of Sciences Moscow, Russia ; Faculty of Fundamental Medicine, Lomonosov Moscow State University Moscow, Russia.
Yulia N LomonosovaInstitute of Biomedical Problems, Russian Academy of Sciences Moscow, Russia.
Institute of Biomedical Problems · RULomonosov Moscow State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main focus of the current review is the nitric oxide (NO)-mediated signaling mechanism in unloaded skeletal. Review of the published data describing muscles during physical activity and inactivity demonstrates that NO is an essential trigger of signaling processes, which leads to structural and metabolic changes of the muscle fibers. The experiments with modulation of NO-synthase (NOS) activity during muscle unloading demonstrate the ability of an activated enzyme to stabilize degradation processes and prevent development of muscle atrophy. Various forms of muscle mechanical activity, i.e., plantar afferent stimulation, resistive exercise and passive chronic stretch increase the content of neural NOS (nNOS) and thus may facilitate an increase in NO production. Recent studies demonstrate that NO-synthase participates in the regulation of protein and energy metabolism in skeletal muscle by fine-tuning and stabilizing complex signaling systems which regulate protein synthesis and degradation in the fibers of inactive muscle.

Indexed as

nitric oxide (II)NO-synthaseprotective function of NOskeletal muscleunloading

Identifiers

PMID26582991
PMCPMC4628111
OpenAlexW2112646428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.