Evidence map›Paper›PMID 39329604›Full record

ArticleBioengineering (Basel, Switzerland)2024

Experimental Study on Compatibility of Human Bronchial Epithelial Cells in Collagen-Alginate Bioink for 3D Printing.

Taieba Tuba Rahman, Nathan Wood, Yeasir Mohammad Akib, Hongmin Qin, Zhijian Pei

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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.

Taieba Tuba RahmanDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0009-0001-0079-2277
Nathan WoodDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Yeasir Mohammad AkibDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
Hongmin QinDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Zhijian PeiDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-2280-4694

Funding

United States Air Force Office of Scientific Research FA9550-23-1-0599, and FA9550-23-1-0156
6 · The paper itself

Abstract

This paper reports an experimental study on the compatibility of human bronchial epithelial (HBE) cells in a collagen-alginate bioink. The compatibility was assessed using the culture well method with three bioink compositions prepared from a 10% alginate solution and neutralized TeloCol-10 mg/mL collagen stock solution. Cell viability, quantified by (live cell count-dead cell count)/live cell count within the HBE cell-laden hydrogel, was evaluated using the live/dead assay method from Day 0 to Day 6. Experimental results demonstrated that the collagen-alginate 4:1 bioink composition exhibited the highest cell viability on Day 6 (85%), outperforming the collagen-alginate 1:4 bioink composition and the alginate bioink composition, which showed cell viability of 75% and 45%, respectively. Additionally, the live cell count was highest for the collagen-alginate 4:1 bioink composition on Day 0, a trend that persisted through Days 1 to 6, underscoring its superior performance in maintaining cell viability and promoting cell proliferation. These findings show that the compatibility of HBE cells with the collagen-alginate 4:1 bioink composition was higher compared with the other two bioink compositions.

Indexed as

cell viabilitycollagen–alginate bioinkcompatibilityculture well methodhuman bronchial epithelial cells

Identifiers

PMID39329604
PMCPMC11429095

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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.