Evidence map›Paper›PMID 38882105›Full record

ArticleACS omega2024

In Vitro Nonalcoholic Fatty Liver Disease Model Elucidating the Effect of Immune Environment on Disease Progression and Alleviation.

Inhye Kim, Mi-Lang Kyun, Hyewon Jung, Ji-In Kwon, Jeongha Kim, Ju-Kang Kim, Yu Bin Lee, Young-In Kwon, Kyoung-Sik Moon

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

9 authors.

Inhye KimDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Mi-Lang KyunDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Hyewon JungDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Ji-In KwonDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Jeongha KimDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Ju-Kang KimDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.
Yu Bin LeeDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.ORCID https://orcid.org/0000-0002-1470-6499
Young-In KwonDepartment of Food and Nutrition, Hannam University, Daejeon 34430, Republic of Korea.ORCID https://orcid.org/0000-0002-8069-8212
Kyoung-Sik MoonDepartment of Advanced Toxicology Research, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD), which is a major cause of chronic liver disease, is characterized by fat accumulation in the liver. Existing models struggle to assess medication effects on liver function in the context of NAFLD's unique inflammatory environment. We address this by developing a 3D in vitro NAFLD model using HepG2 and THP-1 cells (mimicking liver and Kupffer cells) cocultured using transwell and hydrogel system. This mimics liver architecture and allows for manipulation of the immune environment. We demonstrate that the model recapitulates key NAFLD features: steatosis (induced by fatty acids), oxidative stress, inflammation, and impaired liver function embodying the interrelationship between NAFLD and the surrounding immune environment. This versatile model offers a valuable tool for preclinical NAFLD research by incorporating a disease-relevant immune environment.

Identifiers

PMID38882105
PMCPMC11171094

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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.