Evidence map›Paper›PMID 34206252›Full record

ArticleCells2021

17β-Estradiol-Induced Conformational Changes of Human Microsomal Triglyceride Transfer Protein: A Computational Molecular Modelling Study.

Yong-Xiao Yang, Peng Li, Pan Wang, Bao-Ting Zhu

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Exploring sex bias in cardiometabolic diseases.Lipids in health and disease · 2026
    Review
  2. Article
  3. Sex-Specific Differences in Lipoprotein Production and Clearance.Arteriosclerosis, thrombosis, and vascular biology · 2023
    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

4 authors at 2 institutions in 1 country.

Yong-Xiao YangShenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Peng LiShenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Pan WangShenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.
Bao-Ting ZhuShenzhen Key Laboratory of Steroid Drug Discovery and Development, School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-8791-8460
Chinese University of Hong Kong, Shenzhen · CNShenzhen Bay Laboratory · CN

Funding

National Natural Science Foundation of China 81630096Shenzhen Bay Laboratory SZB2019062801007Shenzhen Key Laboratory of Steroid Drug Discovery and Development ZDSYS20190902093417963Shenzhen Peacock Plan KQTD2016053117035204
6 · The paper itself

Abstract

Human microsomal triglyceride transfer protein (hMTP) plays an essential role in the assembly of apoB-containing lipoproteins, and has become an important drug target for the treatment of several disease states, such as abetalipoproteinemia, fat malabsorption and familial hypercholesterolemia. hMTP is a heterodimer composed of a larger hMTPα subunit and a smaller hMTPβ subunit (namely, protein disulfide isomerase, hPDI). hPDI can interact with 17β-estradiol (E

Indexed as

Molecular Dynamics SimulationCarrier ProteinsEstradiolHumansProtein ConformationProtein SubunitsThermodynamicsCarrier ProteinsEstradiolmicrosomal triglyceride transfer proteinProtein Subunits17β-estradiolmicrosomal triglyceride transfer proteinmolecular modelling analysisprotein disulfide isomerasestability

Identifiers

PMID34206252
PMCPMC8304645
OpenAlexW3176593915

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.