Evidence map›Paper›PMID 21487027›Full record

ReviewPhysiology (Bethesda, Md.)2011

mTor signaling in skeletal muscle during sepsis and inflammation: where does it all go wrong?

Robert A Frost, Charles H Lang

Abstract readReview
In one paragraph

Review in Physiology (Bethesda, Md.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

67 citing papers in PubMed, 117 citations in OpenAlex.

  1. Trial
  2. Article
  3. Special Issue "Alcohol and Inflammation".International journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Sarcopenia and frailty in inflammatory bowel disease: Emerging concepts and evidence.JGH open : an open access journal of gastroenterology and hepatology · 2024
    Review
  14. Intensive care unit-acquired weakness: Recent insights.Journal of intensive medicine · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Robert A FrostDepartment of Cellular and Molecular Physiology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA.
Charles H Lang
Pennsylvania State University · US

Funding

SEPSIS INDUCED INSULIN RESISTANCE IN DIABETESR01GM038032 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI LANG, CHARLES H. · 1992 to 2015
$5.4M
SEPSIS INDUCED INSULIN RESISTANCE IN DIABETESR29GM038032 · NIGMS · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI LANG, CHARLES H. · 1987 to 1991
–
NIGMS NIH HHS GM-38032NIGMS NIH HHS R01 GM038032
6 · The paper itself

Abstract

The mammalian target of rapamycin (mTOR) is an evolutionarily conserved protein kinase that exquisitely regulates protein metabolism in skeletal muscle. mTOR integrates input from amino acids, growth factors, and intracellular cues to make or break muscle protein. mTOR accomplishes this task by stimulating the phosphorylation of substrates that control protein translation while simultaneously inhibiting proteasomal and autophagic protein degradation. In a metabolic twist of fate, sepsis induces muscle atrophy in part by the aberrant regulation of mTOR. In this review, we track the steps of normal mTOR signaling in muscle and examine where they go astray in sepsis and inflammation.

Indexed as

AnimalsHumansInflammationMuscle, SkeletalMyositisSepsisSignal TransductionTOR Serine-Threonine KinasesTOR Serine-Threonine Kinases

Identifiers

PMID21487027
PMCPMC3606812
OpenAlexW2167972052

What OpenQuestion holds

Textmetadata
LicenceTDM
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.