Evidence map›Paper›PMID 32124181›Full record

ReviewCurrent osteoporosis reports2020

Critical Assessment of In Vitro and In Vivo Models to Study Marrow Adipose Tissue.

Michaela R Reagan

Abstract readReview
In one paragraph

Review in Current osteoporosis reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

1 author.

Michaela R ReaganCenter for Molecular Medicine and Center for Translational Research, Maine Medical Center Research Institute, 81 Research Drive, Scarborough, ME, 04074, USA. Mreagan@mmc.org.

Funding

Understanding Factors Influencing COVID-19 Testing and Vaccination in Immigrant Low-income and Homeless Populations and Testing Targeted InterventionsU54GM115516 · NIGMS · MAINEHEALTH · PI Brenda Morissette Joly · 2017 to 2026
$51.6M
The role of night shift work in metabolic disorders during and after pregnancyP20GM121301 · NIGMS · MAINEHEALTH · PI Lucy Liaw · 2017 to 2026
$25.1M
Interdisciplinary Study of Marrow Adiposity, Mineral Metabolism & Energy BalanceR24DK092759 · NIDDK · MAINEHEALTH · PI HOROWITZ, MARK C, MACDOUGALD, ORMOND A · 2011 to 2019
$13.0M
NIDDK NIH HHS R24 DK092759NIGMS NIH HHS P20 GM121301NIGMS NIH HHS U54 GM115516
6 · The paper itself

Abstract

purpose of the reviewThe purpose of this review is to describe the in vitro and in vivo methods that researchers use to model and investigate bone marrow adipocytes (BMAds). RECENT

findingsThe bone marrow (BM) niche is one of the most interesting and dynamic tissues of the human body. Relatively little is understood about BMAds, perhaps in part because these cells do not easily survive flow cytometry and histology processing and hence have been overlooked. Recently, researchers have developed in vitro and in vivo models to study normal function and dysfunction in the BM niche. Using these models, scientists and clinicians have noticed that BMAds, which form bone marrow adipose tissue (BMAT), are able to respond to numerous signals and stimuli, and communicate with local cells and distant tissues in the body. This review provides an overview of how BMAds are modeled and studied in vitro and in vivo.

Indexed as

AdipocytesAdipose TissueBone MarrowBone Marrow CellsAnimalsCoculture TechniquesCulture TechniquesFlow CytometryHumansIn Vitro TechniquesMiceModels, BiologicalRabbitsRatsBMBMAdsBMATbone marrowbone marrow adipocytesBone marrow adipose tissuein vitro modelsin vivo models

Identifiers

PMID32124181
PMCPMC7189908

What OpenQuestion holds

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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.