Evidence map›Paper›PMID 31312392›Full record

ArticleAmerican journal of translational research2019

Anti-atherosclerotic effects of LXRα agonist through induced conversion of M1 macrophage to M2.

Fangfang Dou, Jiulin Chen, Hui Cao, Qingling Jia, Dingzhu Shen, Te Liu, Chuan Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. GαNature communications · 2026
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  5. Effect of liver X receptor agonist TO901317 on cognitive function in APP/PS1 double transgenic mice with AlzheimerZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
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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

7 authors at 1 institution in 1 country.

Fangfang DouShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Jiulin ChenShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Hui CaoShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Qingling JiaShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Dingzhu ShenShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Te LiuShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Chuan ChenShanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 200031, China.
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver X receptor alpha (LXRα) plays important roles in lipid metabolism and inflammation. Therefore, it is essential for protection against atherosclerosis (AS). In AS plaques, the key cells involved in lipid metabolism and inflammation are macrophages. However, the mechanism by which LXRα regulates macrophage involvement in AS formation remains unclear. In this study, we first confirmed the effects of an LXRα agonist (T0901317) and antagonist (GSK2033) on foam cell formation and inflammation

Indexed as

AtherosclerosisinflammationLXRαmacrophagesplaques

Identifiers

PMID31312392
PMCPMC6614608
OpenAlexW2991787028

What OpenQuestion holds

Textmetadata
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.