Evidence map›Paper›PMID 24991404›Full record

ReviewBoneKEy reports2014

Wnts' fashion statement: from body stature to dysplasia.

Deepti Malhotra, Yingzi Yang

Abstract readReview
In one paragraph

Review in BoneKEy reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
  2. Article
  3. The multi-faceted role of retinoid X receptor in bone remodeling.Cellular and molecular life sciences : CMLS · 2017
    Review
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Deepti MalhotraGenetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, USA.
Yingzi YangGenetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD, USA.
National Institutes of Health · US

Funding

Wnt signaling in vetebrate limb and skeletal developmentZIAHG000187 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI YANG, YINGZI · 2009 to 2015
$7.1M
6 · The paper itself

Abstract

Bone is constantly being made and remodeled to maintain bone volume and calcium homeostasis. Even small changes in the dosage, location and duration of int/Wingless (Wnt) signaling affect skeletal development and homeostasis. Wnt/β-catenin signaling controls cell fate determination, proliferation and survival by affecting a balance between bone-forming osteoblast and bone-resorbing osteoclast cell differentiation. During early skeletal development, Wnt/β-catenin signaling is required in directing mesenchymal progenitor cells toward the osteoblast lineage. Later, Wnt/β-catenin in chondrocytes of the growth plate promotes chondrocyte survival, hypertrophic differentiation and endochondral ossification. Gain- or loss-of-function mutations in the Wnt signaling components are causally linked to high or low bone mass in mice and humans. Inactivation of Wnt/β-catenin signaling leads to imbalance between bone formation and resorption because of accelerated osteoclastogenesis due to decline in the levels of osteoprotegerin (OPG) secreted by osteoblasts or directly via Frizzled 8 (Fzd8). In this review, we provide a landscape of the Wnt pathway components in influencing progenitor cell differentiation toward osteoblasts or osteoclasts under physiological conditions as well as pathological disorders resulting in various skeletal dysplasia syndromes.

Identifiers

PMID24991404
PMCPMC4078412
OpenAlexW2088575285

What OpenQuestion holds

Textmetadata
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.