Evidence map›Paper›PMID 24980950›Full record

ArticleTissue engineering. Part C, Methods2015

Predicting in vivo responses to biomaterials via combined in vitro and in silico analysis.

Matthew T Wolf, Yoram Vodovotz, Stephen Tottey, Bryan N Brown, Stephen F Badylak

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Extracellular matrix bioscaffolds in tissue remodeling and morphogenesis.Developmental dynamics : an official publication of the American Association of Anatomists · 2016
    Review
  14. Review
  15. Review
  16. Article
  17. Molecular Characterization of Macrophage-Biomaterial Interactions.Advances in experimental medicine and biology · 2015
    Review
  18. Article
  19. Article
  20. 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

5 authors.

Matthew T Wolf1 Department of Bioengineering, University of Pittsburgh , Pittsburgh, Pennsylvania.
Yoram Vodovotz
Stephen Tottey
Bryan N Brown
Stephen F Badylak

Funding

Building Research Careers in Women's HealthK12HD043441 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SADOVSKY, YOEL · 2002 to 2023
$10.1M
Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
NHLBI NIH HHS T32-HL76124-6NICHD NIH HHS HD043441NICHD NIH HHS K12 HD043441
6 · The paper itself

Abstract

The host response to both synthetic and biologically derived biomaterials is a temporally regulated, complex process that involves multiple interacting cell types. This complexity has classically limited the efficacy of in vitro assays for predicting the in vivo outcome, necessitating the use of costly animal models for biomaterial development. The present study addressed these challenges by developing an in vitro assay that characterized the dynamic inflammatory response of human monocyte-derived-macrophages to biomaterials, coupled with quasi-mechanistic analysis in silico analysis: principal component analysis (PCA) and dynamic network analysis (DyNA). Synthetic and extracellular matrix (ECM)-derived materials were evaluated using this method, and were then associated with the in vivo remodeling and macrophage polarization response in a rodent skeletal muscle injury model. PCA and DyNA revealed a distinct in vitro macrophage response to ECM materials that corresponded to constructive remodeling and an increased M2 macrophage presence in vivo. In contrast, PCA and DyNA suggested a response to crosslinked ECM and synthetic materials characteristic of a foreign body reaction and dominant M1 macrophage response. These results suggest that in silico analysis of an in vitro macrophage assay may be useful as a predictor for determining the in vivo host response to implanted biomaterials.

Indexed as

Computer SimulationAnimalsBiocompatible MaterialsCell PolarityCell SurvivalFemaleHumansImmunoassayImplants, ExperimentalMacrophagesPrincipal Component AnalysisProteinsRats, Sprague-DawleySus scrofaTissue ScaffoldsBiocompatible MaterialsProteins

Identifiers

PMID24980950
PMCPMC4313398

What OpenQuestion holds

Textmetadata
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.