Evidence map›Paper›PMID 35807948›Full record

ArticleNutrients2022

Construction and Application of Hepatocyte Model Based on Microfluidic Chip Technique in Evaluating Emodin.

Di Chen, Jiyong Yin, Zhuo Yang, Wen Qin, Junsheng Huo, Jian Huang, Jing Sun, Wei Piao

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
0.4field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. A New Method of ExtractingFoods (Basel, Switzerland) · 2023
    Article
  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

8 authors at 1 institution in 1 country.

Di ChenNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Jiyong YinNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhuo YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wen QinNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0001-6951-7671
Junsheng HuoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-9643-1897
Jian HuangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Jing SunNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wei PiaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CN

Funding

National Key Research and Development Program of China, Ministry of Science and Technology of China 2018YFC1602103
6 · The paper itself

Abstract

The current cytological evaluation technique of health food raw materials does not entirely meet the needs of evaluating health food. Our study adopted the microfluidic chip technique for the first time to construct a hepatocyte model of evaluating emodin, which was composed of a human hepatocellular carcinoma cell (HepG2) and microfluidic chip. The mixed glue of a model with rat tail collagen type I (1.3 mg/mL) + gelatin (7.5%) was used to simulate the microenvironment of a cell. The validity of this model was evaluated by cell proliferation activity and cell staining, and the toxicity of emodin was evaluated by a series of metabolic indicators on this model. The results indicated that the repeatability of the constructed hepatocyte model was favorable, with a coefficient of variation (CV) of 2.8%. After emodin continuously was exposed for 48 h, the cell inhibition was obvious at 100 and 200 μM, and the number of dead cells gradually increased with the increasing of emodin concentration, and the difference of BUN was significant between the emodin group and blank group (p < 0.05). The constructed model has a favorable applicability in evaluating emodin. This study provides an important platform and a potential in vitro alternative model for assessing and predicting the health effects of health food.

Indexed as

EmodinAnimalsCell LineHepatocytesMicrofluidicsRatsEmodinemodinevaluationhepatocyte modelmicrofluidic chipraw materials of health food

Identifiers

PMID35807948
PMCPMC9268988
OpenAlexW4283833236

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.