Evidence map›Paper›PMID 36593306›Full record

ArticleAnnals of biomedical engineering2023

The Influence of Fluid Shear Stress on Bone and Cancer Cells Proliferation and Distribution.

Lahcen Akerkouch, Haneesh Jasuja, Kalpana Katti, Dinesh Katti, Trung Le

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Lahcen AkerkouchDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA.
Haneesh JasujaDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA.
Kalpana KattiDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA.
Dinesh KattiDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA.
Trung LeDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND, USA. trung.le@ndsu.edu.ORCID http://orcid.org/0000-0002-4692-5469

Funding

National Science Foundation 1946202National Science Foundation 2019077
6 · The paper itself

Abstract

We investigated the potential correlation between the fluid shear stress and the proliferation of bone prostate cancer cells on the surface of nanoclay-based scaffolds in a perfusion bioreactor. Human mesenchymal stem cells (hMSCs) were seeded on the scaffolds to initiate bone growth. After 23 days, prostate cancer cells (MDAPCa2b) were cultured on top of the osteogenically differentiated hMSCs. The scaffolds were separated into two groups subjected to two distinct conditions: (i) static (no flow); and (ii) dynamic (with flow) conditions to recapitulate bone metastasis of prostate cancer. Based on measured data, Computational Fluid Dynamics (CFD) models were constructed to determine the velocity and shear stress distributions on the scaffold surface. Our experimental results show distinct differences in the growth pattern of hMSCs and MDAPCa2b cells between the static and dynamic conditions. Our computational results further suggest that the dynamic flow leads to drastic change in cell morphology and tumorous distribution. Our work points to a strong correlation between tumor growth and local interstitial flows in bones.

Indexed as

Prostatic NeoplasmsTissue ScaffoldsBioreactorsBone and BonesCell ProliferationHumansMaleTissue EngineeringBone metastasisCFDFluid shear stress

Identifiers

PMID36593306

What OpenQuestion holds

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Registered trials

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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.