Evidence map›Paper›PMID 34836964›Full record

ArticleNPJ microgravity2021

Transcriptional responses of skeletal stem/progenitor cells to hindlimb unloading and recovery correlate with localized but not systemic multi-systems impacts.

Cori N Booker, Christopher L Haga, Siddaraju V Boregowda, Jacqueline Strivelli, Donald G Phinney

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in NPJ microgravity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Cori N Booker *Department of Molecular Medicine, The Scripps Research Institute - Scripps Florida, Jupiter, Florida, 33458, USA.
Christopher L Haga *Department of Molecular Medicine, The Scripps Research Institute - Scripps Florida, Jupiter, Florida, 33458, USA.
Siddaraju V BoregowdaDepartment of Molecular Medicine, The Scripps Research Institute - Scripps Florida, Jupiter, Florida, 33458, USA.
Jacqueline StrivelliDepartment of Molecular Medicine, The Scripps Research Institute - Scripps Florida, Jupiter, Florida, 33458, USA.
Donald G PhinneyDepartment of Molecular Medicine, The Scripps Research Institute - Scripps Florida, Jupiter, Florida, 33458, USA. dphinney@scripps.edu.ORCID http://orcid.org/0000-0002-8688-2619
Scripps Research Institute · US

Funding

A Clinical Indications Prediction (CLIP) Scale for Human Mesenchymal Stem CellsR01HL144089 · NHLBI · UNIVERSITY OF FLORIDA · PI Donald G Phinney · 2018 to 2026
$5.4M
NHLBI NIH HHS R01 HL144089U.S. Department of Health & Human Services | National Institutes of Health (NIH) HL144089
6 · The paper itself

Abstract

Disuse osteoporosis (DO) results from mechanical unloading of weight-bearing bones and causes structural changes that compromise skeletal integrity, leading to increased fracture risk. Although bone loss in DO results from imbalances in osteoblast vs. osteoclast activity, its effects on skeletal stem/progenitor cells (SSCs) is indeterminate. We modeled DO in mice by 8 and 14 weeks of hindlimb unloading (HU) or 8 weeks of unloading followed by 8 weeks of recovery (HUR) and monitored impacts on animal physiology and behavior, metabolism, marrow adipose tissue (MAT) volume, bone density and micro-architecture, and bone marrow (BM) leptin and tyrosine hydroxylase (TH) protein expression, and correlated multi-systems impacts of HU and HUR with the transcript profiles of Lin

Identifiers

PMID34836964
PMCPMC8626488
OpenAlexW3216024790

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.