Evidence map›Paper›PMID 36733424›Full record

ArticleFrontiers in veterinary science2022

Temporal metabolic profiling of bone healing in a caprine tibia segmental defect model.

Austin J Bow, Rebecca E Rifkin, Caitlin Priester, Courtney J Christopher, Remigiusz M Grzeskowiak, Silke Hecht, Steve H Adair, Pierre-Yves Mulon, Hector F Castro, Shawn R Campagna and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors at 1 institution in 1 country.

Austin J BowDepartment of Large Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Rebecca E RifkinDepartment of Large Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Caitlin PriesterDepartment of Animal Science, University of Tennessee, Knoxville, Knoxville, TN, United States.
Courtney J ChristopherDepartment of Chemistry, University of Tennessee, Knoxville, Knoxville, TN, United States.
Remigiusz M GrzeskowiakDepartment of Large Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Silke HechtDepartment of Small Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Steve H AdairDepartment of Large Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Pierre-Yves MulonDepartment of Large Animal Clinical Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
Hector F CastroDepartment of Chemistry, University of Tennessee, Knoxville, Knoxville, TN, United States.
Shawn R CampagnaDepartment of Chemistry, University of Tennessee, Knoxville, Knoxville, TN, United States.
David E AndersonUniversity of Tennessee College of Veterinary Medicine, Knoxville, TN, United States.
University of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone tissue engineering is an emerging field of regenerative medicine, with a wide array of biomaterial technologies and therapeutics employed. However, it is difficult to objectively compare these various treatments during various stages of tissue response. Metabolomics is rapidly emerging as a powerful analytical tool to establish broad-spectrum metabolic signatures for a target biological system. Developing an effective biomarker panel for bone repair from small molecule data would provide an objective metric to readily assess the efficacy of novel therapeutics in relation to natural healing mechanisms. In this study we utilized a large segmental bone defect in goats to reflect trauma resulting in substantial volumetric bone loss. Characterization of the native repair capacity was then conducted over a period of 12 months through the combination of standard (radiography, computed tomography, histology, biomechanics) data and ultra-high-performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) metabolic profiling. Standard metrics demonstrated that samples formed soft callus structures that later mineralized. Small molecule profiles showed distinct temporal patterns associated with the bone tissue repair process. Specifically, increased lactate and amino acid levels at early time points indicated an environment conducive to osteoblast differentiation and extracellular matrix formation. Citrate and pyruvate abundances increased at later time points indicating increasing mineral content within the defect region. Taurine, shikimate, and pantothenate distribution profiles appeared to represent a shift toward a more homeostatic remodeling environment with the differentiation and activity of osteoclasts offsetting the earlier deposition phases of bone repair. The generation of a comprehensive metabolic reference portfolio offers a potent mechanism for examining novel biomaterials and can serve as guide for the development of new targeted therapeutics to improve the rate, magnitude, and quality of bone regeneration.

Indexed as

biomarkersbone remodelingbone tissue engineeringcaprinelarge animal modelmetabolomicsregenerative medicineveterinary research

Identifiers

PMID36733424
PMCPMC9886884
OpenAlexW4316669394

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.