Evidence map›Paper›PMID 38570121›Full record

ArticleBone2024

Human nonunion tissues display differential gene expression in comparison to physiological fracture callus.

Leonidas Salichos, Rishika Thayavally, Peter Kloen, Michael Hadjiargyrou

Abstract read
In one paragraph

Article in Bone, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Genes · 2024
    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

4 authors.

Leonidas SalichosDepartment of Biological & Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA; Center for Biomedical Data Science, New York Institute of Technology, New York, NY 10023, USA.
Rishika ThayavallyDepartment of Biological & Chemical Sciences, New York Institute of Technology, New York, NY 10023, USA; Center for Biomedical Data Science, New York Institute of Technology, New York, NY 10023, USA.
Peter KloenDepartment of Orthopedic Surgery and Sports Medicine, Amsterdam UMC location, Meibergdreef 9, the Netherlands; Amsterdam Movement Sciences, (Tissue Function and Regeneration), Amsterdam, the Netherlands.
Michael HadjiargyrouCenter for Biomedical Data Science, New York Institute of Technology, New York, NY 10023, USA; Department of Biological & Chemical Sciences, New York Institute of Technology, Old Westbury, NY, 11568, USA. Electronic address: mhadji@nyit.edu.

Funding

The Role of Mustn1 in Cartilage BiologyR15HD092931 · NICHD · NEW YORK INST OF TECHNOLOGY · PI HADJIARGYROU, MICHAEL · 2017 to 2017
$442k
NICHD NIH HHS R15 HD092931
6 · The paper itself

Abstract

The healing of bone fractures can become aberrant and lead to nonunions which in turn have a negative impact on patient health. Understanding why a bone fails to normally heal will enable us to make a positive impact in a patient's life. While we have a wealth of molecular data on rodent models of fracture repair, it is not the same with humans. As such, there is still a lack of information regarding the molecular differences between normal physiological repair and nonunions. This study was designed to address this gap in our molecular knowledge of the human repair process by comparing differentially expressed genes (DEGs) between physiological fracture callus and two different nonunion types, hypertrophic (HNU) and oligotrophic (ONU). RNA sequencing data revealed over ∼18,000 genes in each sample. Using the physiological callus as the control and the nonunion samples as the experimental groups, bioinformatic analyses identified 67 and 81 statistically significant DEGs for HNU and ONU, respectively. Out of the 67 DEGs for the HNU, 34 and 33 were up and down-regulated, respectively. Similarly, out of the 81 DEGs for the ONU, 48 and 33 were up and down-regulated, respectively. Additionally, we also identified common genes between the two nonunion samples; 8 (10.8 %) upregulated and 12 (22.2 %) downregulated. We further identified many biological processes, with several statistically significant ones. Some of these were related to muscle and were common between the two nonunion samples. This study represents the first comprehensive attempt to understand the global molecular events occurring in human nonunion biology. With further research, we can perhaps decipher new molecular pathways involved in aberrant healing of human bone fractures that can be therapeutically targeted.

Indexed as

Fractures, BoneFractures, UnunitedBony CallusFracture HealingGene ExpressionHumansCallusDEGsFractureHypertrophicNonunionOligotrophic

Identifiers

PMID38570121
PMCPMC11023750

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Registered trials

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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.