Evidence map›Paper›PMID 34503056›Full record

ArticlePolymers2021

Extracellular Matrix Optimization for Enhanced Physiological Relevance in Hepatic Tissue-Chips.

Abdul Rahim Chethikkattuveli Salih, Kinam Hyun, Arun Asif, Afaque Manzoor Soomro, Hafiz Muhammad Umer Farooqi, Young Su Kim, Kyung Hwan Kim, Jae Wook Lee, Dongeun Huh, Kyung Hyun Choi

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

18 citing papers in PubMed, 33 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Abdul Rahim Chethikkattuveli SalihDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Kinam HyunDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Arun AsifDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Afaque Manzoor SoomroDepartment of Electrical Engineering, Sukkur IBA University, Airport Road, Sukkur 65200, Pakistan.ORCID 0000-0002-0352-9319
Hafiz Muhammad Umer FarooqiDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.ORCID 0000-0002-1735-5911
Young Su KimBioSpero, Inc., Jeju-si 63243, Korea.
Kyung Hwan KimDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Jae Wook LeeDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Dongeun HuhDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kyung Hyun ChoiDepartment of Mechatronics Engineering, Jeju National University, Jeju-si 63243, Korea.
Jeju National University · KRSukkur IBA University · PKUniversity of Pennsylvania · US

Funding

Korea Institute for Advancement of Technology P0006848Ministry of Education 2021Ministry of Trade, Industry and Energy P0006848National Research Foundation of Korea 2021
6 · The paper itself

Abstract

The cellular microenvironment is influenced explicitly by the extracellular matrix (ECM), the main tissue support biomaterial, as a decisive factor for tissue growth patterns. The recent emergence of hepatic microphysiological systems (MPS) provide the basic physiological emulation of the human liver for drug screening. However, engineering microfluidic devices with standardized surface coatings of ECM may improve MPS-based organ-specific emulation for improved drug screening. The influence of surface coatings of different ECM types on tissue development needs to be optimized. Additionally, an intensity-based image processing tool and transepithelial electrical resistance (TEER) sensor may assist in the analysis of tissue formation capacity under the influence of different ECM types. The current study highlights the role of ECM coatings for improved tissue formation, implying the additional role of image processing and TEER sensors. We studied hepatic tissue formation under the influence of multiple concentrations of Matrigel, collagen, fibronectin, and poly-L-lysine. Based on experimental data, a mathematical model was developed, and ECM concentrations were validated for better tissue development. TEER sensor and image processing data were used to evaluate the development of a hepatic MPS for human liver physiology modeling. Image analysis data for tissue formation was further strengthened by metabolic quantification of albumin, urea, and cytochrome P450. Standardized ECM type for MPS may improve clinical relevance for modeling hepatic tissue microenvironment, and image processing possibly enhance the tissue analysis of the MPS.

Indexed as

collagenextracellular matriximage analysismicrophysiological systemTEERtight junction proteins

Identifiers

PMID34503056
PMCPMC8434375
OpenAlexW3196295772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.