Evidence map›Paper›PMID 33262303›Full record

SynthesisThe Journal of rheumatology2021

Metaanalysis Reveals Genetic Correlates of Osteoporosis Pathogenesis.

Laith K Hasan, Jihad Aljabban, Michael Rohr, Mohamed Mukhtar, Nikhil Adapa, Rahaf Salim, Nabeal Aljabban, Saad Syed, Sharjeel Syed, Maryam Panahiazar and 2 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

12 authors at 10 institutions in 1 country.

Laith K HasanL.K. Hasan, BBA, Tulane University School of Medicine, New Orleans, Lousiana; lhasan@tulane.edu.ORCID 0000-0001-8978-4638
Jihad AljabbanJ. Aljabban, MD, MMSc, University of Wisconsin Hospital and Clinics, Madison, Wisconsin.ORCID 0000-0003-4999-9372
Michael RohrM. Rohr, BS, D. Hadley, MD, PhD, University of Central Florida College of Medicine, Orlando, Florida.
Mohamed MukhtarM. Mukhtar, BS, Michigan State University College of Medicine, Lansing, Michigan.
Nikhil AdapaN. Adapa, MD, State University of New York Upstate Medical University, Syracuse, New York.
Rahaf SalimR. Salim, BS, Case Western University, Cleveland, Ohio.
Nabeal AljabbanN. Aljabban, BS, Penn State College of Medicine, Hershey, Pennsylvania.
Saad SyedS. Syed, BS, S. Syed, MD, Stanford University School of Medicine, Palo Alto, California.
Sharjeel SyedS. Syed, BS, S. Syed, MD, Stanford University School of Medicine, Palo Alto, California.
Maryam PanahiazarM. Panahiazar, PhD, University of California San Francisco, San Francisco, California.
Dexter HadleyM. Rohr, BS, D. Hadley, MD, PhD, University of Central Florida College of Medicine, Orlando, Florida.
Wael JarjourW. Jarjour, MD, Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Stanford University · USUniversity of Central Florida · USCase Western Reserve University · USMichigan State University · USPenn State Milton S. Hershey Medical Center · USSUNY Upstate Medical University · USThe Ohio State University Wexner Medical Center · USTulane University · USUniversity of California, San Francisco · USUW Health University Hospital · US

Funding

Crowd-Assisted Deep Learning (CrADLe) Digital Curation to Translate Big Data into Precision MedicineU01LM012675 · NLM · UNIVERSITY OF CENTRAL FLORIDA · PI HADLEY, DEXTER D · 2017 to 2020
$2.1M
Crowd-sourcing A STAR Functional Genomic Characterization of Cancer with Open Big DataUH2CA203792 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HADLEY, DEXTER D · 2016 to 2017
$634k
NCI NIH HHS UH2 CA203792NLM NIH HHS U01 LM012675
6 · The paper itself

Abstract

objectiveOsteoporosis is a growing healthcare burden. By identifying osteoporosis-promoting genetic variations, we can spotlight targets for new pharmacologic therapies that will improve patient outcomes. In this metaanalysis, we analyzed mesenchymal stem cell (MSC) biomarkers in patients with osteoporosis.

methodsWe employed our Search Tag Analyze Resource for the Gene Expression Omnibus (STARGEO) platform to conduct a metaanalysis to define osteoporosis pathogenesis. We compared 15 osteoporotic and 14 healthy control MSC samples. We then analyzed the genetic signature in Ingenuity Pathway Analysis.

resultsThe top canonical pathways identified that were statistically significant included the serine peptidase inhibitor kazal type 1 pancreatic cancer pathway, calcium signaling, pancreatic adenocarcinoma signaling, axonal guidance signaling, and glutamate receptor signaling. Upstream regulators involved in this disease process included

conclusionAlthough there has been extensive research looking at the genetic basis for inflammatory arthritis, very little literature currently exists that has identified genetic pathways contributing to osteoporosis. Our study has identified several important genes involved in osteoporosis pathogenesis including

Indexed as

Mesenchymal Stem CellsOsteoporosisbeta CateninBone DensityCyclic AMP Response Element-Binding ProteinErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaHumansWnt Signaling Pathwaybeta CateninCREB1 protein, humanCTNNB1 protein, humanCyclic AMP Response Element-Binding ProteinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphagenetic studiesmetaanalysisosteoporosisstem cells

Identifiers

PMID33262303
PMCPMC10298833
OpenAlexW3108677307

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.