Evidence map›Paper›PMID 27444066›Full record

ReviewTrends in endocrinology and metabolism: TEM2016

Amino Acid Sensing in Skeletal Muscle.

Tatiana Moro, Scott M Ebert, Christopher M Adams, Blake B Rasmussen

Open access · greenAbstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

62 citing papers in PubMed, 99 citations in OpenAlex.

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  17. Korean Mint (Preventive nutrition and food science · 2024
    Article
  18. Metabolomics-driven discovery of therapeutic targets for cancer cachexia.Journal of cachexia, sarcopenia and muscle · 2024
    Review
  19. Article
  20. Review

2 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

4 authors at 3 institutions in 1 country.

Tatiana MoroDepartment of Nutrition and Metabolism, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA.
Scott M EbertDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA; Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, IA, USA; Iowa City Veterans Affairs Medical Center, Iowa City, IA, USA.
Christopher M AdamsDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA; Fraternal Order of Eagles Diabetes Research Center, University of Iowa, Iowa City, IA, USA; Iowa City Veterans Affairs Medical Center, Iowa City, IA, USA.
Blake B RasmussenDepartment of Nutrition and Metabolism, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX, USA. Electronic address: blrasmus@utmb.edu.
The University of Texas Medical Branch at Galveston · USFraternal Order of Eagles · USVeterans Health Administration · US

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Molecular Pathogenesis of Skeletal Muscle AtrophyR01AR059115 · NIAMS · UNIVERSITY OF IOWA · PI ADAMS, CHRISTOPHER M · 2010 to 2014
$1.6M
Nutrient Sensing & Signaling in Aging MuscleR56AG051267 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI RASMUSSEN, BLAKE B · 2015 to 2015
$468k
Development of Novel Small Molecule Therapies for Skeletal Muscle AtrophyR41AG047684 · NIA · EMMYON, INC. · PI ADAMS, CHRISTOPHER M, EBERT, SCOTT MATTHEW · 2014 to 2014
$225k
Discovery of Novel Pharmaceutical Agents for Skeletal Muscle AtrophyR43AR069400 · NIAMS · EMMYON, INC. · PI ADAMS, CHRISTOPHER M, EBERT, SCOTT MATTHEW · 2016 to 2016
$225k
Development of novel therapies for aging-induced skeletal muscle atrophy.R43AG044898 · NIA · EMMYON, INC. · PI ADAMS, CHRISTOPHER M, EBERT, SCOTT MATTHEW · 2013 to 2013
$160k
Prevention and Treatment of Skeletal Muscle AtrophyI01RX001477 · VA · IOWA CITY VA MEDICAL CENTER · PI ADAMS, CHRISTOPHER M · 2015 to 2017
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Molecular Mechanisms of Age-related Muscle LossI01BX000976 · VA · IOWA CITY VA MEDICAL CENTER · PI YOREK, MARK A. · 2012 to 2022
–
BLRD VA I01 BX000976NIAMS NIH HHS R01 AR059115NIAMS NIH HHS R43 AR069400NIA NIH HHS P30 AG024832NIA NIH HHS R41 AG047684NIA NIH HHS R43 AG044898NIA NIH HHS R56 AG051267RRD VA I01 RX001477
6 · The paper itself

Abstract

Aging impairs skeletal muscle protein synthesis, leading to muscle weakness and atrophy. However, the underlying molecular mechanisms remain poorly understood. Here, we review evidence that mammalian/mechanistic target of rapamycin complex 1 (mTORC1)-mediated and activating transcription factor 4 (ATF4)-mediated amino acid (AA) sensing pathways, triggered by impaired AA delivery to aged skeletal muscle, may play important roles in skeletal muscle aging. Interventions that alleviate age-related impairments in muscle protein synthesis, strength, and/or muscle mass appear to do so by reversing age-related changes in skeletal muscle AA delivery, mTORC1 activity, and/or ATF4 activity. An improved understanding of the mechanisms and roles of AA sensing pathways in skeletal muscle may lead to evidence-based strategies to attenuate sarcopenia.

Indexed as

Activating Transcription Factor 4Amino AcidsAnimalsHumansMuscle, SkeletalTOR Serine-Threonine KinasesTriterpenesUrsolic AcidActivating Transcription Factor 4Amino AcidsTOR Serine-Threonine KinasesTriterpenesUrsolic Acidactivating transcription factor 4general control nonderepressible 2leucinemammalian/mechanistic target of rapamycin complex 1tomatidineursolic acid

Identifiers

PMID27444066
PMCPMC5075248
OpenAlexW2497214543

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.