Evidence map›Paper›PMID 32793668›Full record

ArticleAnnals of translational medicine2020

The role of Neu1 in the protective effect of dipsacoside B on acetaminophen-induced liver injury.

Shuang Chen, Mengzhen Li, Wei Jiang, Hao Zheng, Lian-Wen Qi, Shujun Jiang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  11. Autophagy in liver diseases: A review.Molecular aspects of medicine · 2021
    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

6 authors at 1 institution in 1 country.

Shuang ChenState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Mengzhen LiState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Wei JiangState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Hao ZhengState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Lian-Wen QiState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Shujun JiangState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmacological induction of autophagy can protect against acetaminophen (APAP) induced acute liver failure (ALF) by removing APAP adducts (APAP-AD), but its mechanism is not well understood. Hepatoprotective effect of saponins from traditional Chinese medicine has attracted widespread attention from all over the world. The content of saponins in

methodsMice were treated with DB by intraperitoneal injection 1 h before treated with 500 mg/kg APAP, which caused ALF after 4 h. HepG2 cells were treated with DB for 1 h before treated with 10 mM APAP for 12 h. Hepatotoxicity was assessed

resultsOur results demonstrated that pretreatment with 0.5 μM DB (

conclusionsThese data indicate that DB alleviated hepatotoxicity caused by APAP at least in part via Neu1 inhibition, Akt/mTOR pathway is involved in the detoxification effect of DB on acetaminophen-induced hepatotoxicity.

Indexed as

Acetaminophen (APAP)acute liver failure (ALF)dipsacoside Bneuraminidase 1

Identifiers

PMID32793668
PMCPMC7396229
OpenAlexW3043133936

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.