Evidence map›Paper›PMID 27609032›Full record

ArticleJournal of musculoskeletal & neuronal interactions2016

Genetic and tissue level muscle-bone interactions during unloading and reambulation.

S Judex, W Zhang, L R Donahue, E Ozcivici

Open access · greenAbstract read
In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Similarities Between Disuse and Age-Induced Bone Loss.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Review
  3. Article
  4. Article
  5. Genetic variability affects the response of skeletal muscle to disuse.Journal of musculoskeletal & neuronal interactions · 2021
    Article
  6. Article
  7. Article
  8. 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 at 1 institution in 1 country.

S JudexDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
W Zhang
L R Donahue
E Ozcivici
Stony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about interactions between muscle and bone during the removal and application of mechanical signals. Here, we applied 3wk of hindlimb unloading followed by 3wk of reambulation to a genetically heterogeneous population of 352 adult mice and tested the hypothesis that changes in muscle are associated with changes in bone at the level of the tissue and the genome. During unloading and relative to normally ambulating control mice, most mice lost muscle and cortical bone with large variability across the population. During reambulation, individual mice regained bone and muscle at different rates. Across mice, changes in muscle and trabecular/cortical bone were not correlated to each other during unloading or reambulation. For unloading, we found one significant quantitative trait locus (QTL) for muscle area and five QTLs for cortical bone without overlap between mechano-sensitive muscle and cortical bone QTLs (but some overlap between muscle and trabecular QTLs). The low correlations between morphological changes in muscle and bone, together with the largely distinct genetic regulation of the response indicate that the premise of a muscle-bone unit that co-adjusts its size during (un)loading may need to be reassessed.

Indexed as

AnimalsBone and BonesDisease Models, AnimalHindlimb SuspensionMiceMuscle, SkeletalQuantitative Trait LociX-Ray Microtomography

Identifiers

PMID27609032
PMCPMC5114340
OpenAlexW2530725881

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.