Evidence map›Paper›PMID 36948858›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2023

[Research progress of the regulatory role of autophagy in metabolic liver diseases].

Y X Li, F Ren, Y Chen

Open access · greenAbstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Y X LiBeijing Institute of Technology, Beijing 100081, China.
F RenBeijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing 100069, China.
Y ChenIntractable Hepatic Diseases and Artificial Liver Treatment & Training Center & Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment, Beijing 100069, China.
Beijing Institute of Technology · CNBeijing YouAn Hospital · CN

Funding

the Beijing Natural Science Foundation and the Beijing Municipal Education Commission jointly funded key projects KZ202010025035the Capital Clinical Diagnosis and Treatment Technology Research and Demonstration Application Project Z191100006619096, Z191100006619097the Capital Health Research and Development of Special Founding 2020-1-1151The National Natural Science Foundation of China 81770611the National Science and Technology Major Project of infectious diseases 2018ZX10301407-005-002, 2018ZX10302205-004-004
6 · The paper itself

Abstract

Autophagy is one of several hepatic metabolic processes in which starved cells are supplied with glucose, free fatty acids, and amino acids to produce energy and synthesize new macromolecules. Moreover, it regulates the quantity and quality of mitochondria and other organelles. As the liver is a vital metabolic organ, specific forms of autophagy are necessary for maintaining liver homeostasis. Protein, fat, and sugar are the three primary nutrients that can be altered by different metabolic liver diseases. Drugs that have an effect on autophagy can either promote or inhibit autophagy, and as a result, it can either increase or inhibit the three major nutritional metabolisms that are affected by liver disease. Thus, this opens up a novel therapeutic option for liver disease.

Indexed as

Liver DiseasesMetabolic DiseasesAutophagyHumansLiverMitochondriaCell autophagyLiver diseaseMetabolic regulation

Identifiers

PMID36948858
PMCPMC12814026
OpenAlexW4360601021

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.