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Record W81993338 · doi:10.3233/ch-2008-1090

Stimulation of monocytes and macrophages: Possible influence of surface roughness

2008· article· en· W81993338 on OpenAlexaboutno aff
Josef Fink, R. Fuhrmann, Tim Scharnweber, R.P. Franke

Bibliographic record

VenueClinical Hemorheology and Microcirculation · 2008
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryCalciumForeign-body giant cellExtracellular matrixGiant cellEosinStainingBiophysicsBiomedical engineeringAnatomyPathologyBiochemistryMedicineBiology

Abstract

fetched live from OpenAlex

The aim of this study was to understand the mechanisms of interaction of monocytes/macrophages and foreign body giant cell (FBGC) with implant materials, with respect to the roughness and the solubility of calcium phosphate based coatings. Anderson et al. (Bone Engineering, J.E. Davies, ed., Toronto, 2000, pp. 81-93) showed that the presence of FBGC's and monocytes/macrophages influenced the strength of the implant-tissue integration and that more monocytes/macrophages rested on smooth surfaces compared to rough surfaces. We seeded human bone marrow cells on uncoated ultrasmooth polished TiAl6V4 samples as well as on coated TiAl6V4 discs of the same diameter with two different calcium phosphates coatings, monetite (DCP) and hydroxyapatite (OHAp), both with rougher surfaces. On uncoated ultrasmooth polished TiAl6V4 discs (UUTi, diameter 16 mm, thickness 2 mm) and on TiAl6V4 discs of same diameter coated with OHAP or DCPA, human bone marrow cells (HMBC) were seeded and cultivated under standard culture conditions for 90 days without addition of inducing substances like ascorbic acid, Na-beta-glycerophosphate or dexamethasone. The roughnesses of the virgin samples were assessed with atomic force microscopy and light profilometry. After 90 days of cultivation a fraction of the samples, with cells and extracellular matrix, were stained with hematoxylin eosin (HE) and examined in light microscopy. R(a) roughness values of virgin uncoated TiAl6V4 samples were 0.001 microm, of DCP coated discs 4 microm and of OHAp coated discs 3 microm. The examination of HE stained samples showed a high number of FBGC and monocytes/macrophages on the UUTi samples. On the DCP coated samples there were less FBGC and monocytes/macrophages and on the OHAp coated samples we could not find any FBGC and monocytes/macrophages. The extracellular matrix (ECM) we found on the UUTi samples was finer and thinner than on the coated samples. The ECM was vastly spread and not dense on the UUTi samples in contrast to the calcium phosphate coated samples, where the ECM was much thicker and stronger. The ultrasmooth surface of the uncoated TiAl6V4 samples, a material which is accepted to be biocompatible, evidently induced the differentiation of cells of the monocytic lineage and the formation of FBGC out of the cell populations present in the human bone marrow.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations38
Published2008
Admission routes1
Has abstractyes

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