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Record W2896590093 · doi:10.1089/ten.tea.2018.0222

Bone Marrow-Derived Macrophages Enhance Vessel Stability in Modular Engineered Tissues

2018· article· en· W2896590093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTissue Engineering Part A · 2018
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMesenchymal stem cellBone marrowStromal cellPhenotypeCell biologyIn vivoMacrophagePathologyChemistryBiologyImmunologyIn vitroMedicineBiotechnology

Abstract

fetched live from OpenAlex

Macrophages play a central role in the host response to tissue engineered constructs and their resultant vascularization. With a diversity of phenotypes, it is important to control the macrophage response to maximize vessel formation. We use a bottom-up tissue fabrication system (“modular tissue engineering”) consisting of mesenchymal stromal cells (MSC) embedded in injectable collagen gel modules that are coated with endothelial cells. Here we characterize the macrophage response to subcutaneously injected human umbilical vein endothelial cell (HUVEC)-coated modules with and without embedded human adipose-derived MSC or additional bone marrow-derived macrophages (BMDM) in SCID Beige mice. Clodronate depletion obviated vessel formation indicating that macrophages are essential to vessel formation. With MSC, macrophage infiltration (at day 3) was lessened relative to the HUVEC-only control, whereas they preferentially adopted a mixed M1/M2 phenotype, characterized by expression of both CD206 and MHCII, which was similar with or without MSC. Vessel numbers were higher with MSC as expected at day 7, but adding BMDM reduced the regression seen by day 14. Pretreating the BMDM with interleukin 4 (IL-4) or interferon γ (IFNγ) had no effect on vessel number or maturity (smooth muscle actin expression) or the inflammatory markers. Coculturing HUVEC with IFNγ-treated or untreated BMDM altered their expression of polarization markers, reducing the impact of the pretreatment. A similar phenomenon likely occurred in vivo reducing the expected impact of pretreatment. Although there is much to learn about the role of macrophages in module vascularization, the versatility of this bottom-up approach, afforded in part by enabling mixtures containing different components, is a useful means to alter the remodeling that occurs when constructs are deployed in vivo . Impact Statement This work demonstrates an effective method of enhancing the stability of a newly formed vasculature in modular engineered tissues in vivo through the counterintuitive implantation of allogeneic macrophages. Furthermore, we provide a detailed method for analyzing macrophage phenotype in vascularized explants and assess the role of added mesenchymal stromal cells (MSC) on that phenotype. Enhanced vascular stability may permit the development of increasingly large, clinically relevant tissues, fully permeated by blood vessels integrated with the host vasculature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.267
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it