Evidence map›Paper›PMID 24275442›Full record

ArticleJournal of biomechanics2014

A high throughput mechanical screening device for cartilage tissue engineering.

Bhavana Mohanraj, Chieh Hou, Gregory R Meloni, Brian D Cosgrove, George R Dodge, Robert L Mauck

Abstract read
In one paragraph

Article in Journal of biomechanics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Self-Assembly Culture Model for Engineering Musculoskeletal Tissues.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. The Form and Function of PIEZO2.Annual review of biochemistry · 2021
    Review
  7. The future of meniscus science: international expert consensus.Journal of experimental orthopaedics · 2021
    Article
  8. Chondrocyte and mesenchymal stem cell derived engineered cartilage exhibits differential sensitivity to pro-inflammatory cytokines.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors at 2 institutions in 2 countries.

Bhavana MohanrajMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States.
Chieh HouMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Gregory R MeloniMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Brian D CosgroveMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States; Collaborative Research Partner Acute Cartilage Injury Program of AO Foundation, Davos, Switzerland.
George R DodgeMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States; Collaborative Research Partner Acute Cartilage Injury Program of AO Foundation, Davos, Switzerland.
Robert L MauckMcKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States; Collaborative Research Partner Acute Cartilage Injury Program of AO Foundation, Davos, Switzerland; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: lemauck@mail.med.upenn.edu.
University of Pennsylvania · USAO Foundation · CH

Funding

The Role of Hyaluronic Acid Receptors in Tendon HealingP30AR050950 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI BALDWIN, DONALD A · 2006 to 2015
$6.2M
Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
Engineering Developmental Microenvironments: Cartilage Formation and MaturationR01EB008722 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI BURDICK, JASON A, MAUCK, ROBERT L · 2009 to 2017
$3.0M
Cartilage response to compression injury: A platform for therapeutics discoveryI01RX001213 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DODGE, GEORGE R. · 2014 to 2020
–
NIAMS NIH HHS P30 AR050950NIAMS NIH HHS T32 AR007132NIBIB NIH HHS R01 EB008722NIBIB NIH HHS R01EB008722RRD VA I01 RX001213
6 · The paper itself

Abstract

Articular cartilage enables efficient and near-frictionless load transmission, but suffers from poor inherent healing capacity. As such, cartilage tissue engineering strategies have focused on mimicking both compositional and mechanical properties of native tissue in order to provide effective repair materials for the treatment of damaged or degenerated joint surfaces. However, given the large number design parameters available (e.g. cell sources, scaffold designs, and growth factors), it is difficult to conduct combinatorial experiments of engineered cartilage. This is particularly exacerbated when mechanical properties are a primary outcome, given the long time required for testing of individual samples. High throughput screening is utilized widely in the pharmaceutical industry to rapidly and cost-effectively assess the effects of thousands of compounds for therapeutic discovery. Here we adapted this approach to develop a high throughput mechanical screening (HTMS) system capable of measuring the mechanical properties of up to 48 materials simultaneously. The HTMS device was validated by testing various biomaterials and engineered cartilage constructs and by comparing the HTMS results to those derived from conventional single sample compression tests. Further evaluation showed that the HTMS system was capable of distinguishing and identifying 'hits', or factors that influence the degree of tissue maturation. Future iterations of this device will focus on reducing data variability, increasing force sensitivity and range, as well as scaling-up to even larger (96-well) formats. This HTMS device provides a novel tool for cartilage tissue engineering, freeing experimental design from the limitations of mechanical testing throughput.

Indexed as

Cartilage, ArticularBiocompatible MaterialsBiomechanical PhenomenaTissue EngineeringBiocompatible Materials3D cultureHigh throughput screeningMechanical testing

Identifiers

PMID24275442
PMCPMC4014530
OpenAlexW2054768156

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.