Evidence map›Paper›PMID 35506449›Full record

ReviewMolecular medicine reports2022

Crosstalk between NK cells and hepatic stellate cells in liver fibrosis (Review).

Yang Zhang, Yuan Wu, Wenjuan Shen, Bingyu Wang, Xingxing Yuan

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  10. The role of ferroptosis-related non-coding RNA in liver fibrosis.Frontiers in cell and developmental biology · 2024
    Review
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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

5 authors at 3 institutions in 1 country.

Yang ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang 150001, P.R. China.
Yuan WuThe Graduate School, Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang 150001, P.R. China.
Wenjuan ShenDepartment of Gynaecology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang 150001, P.R. China.
Bingyu WangDepartment of Gastroenterology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin, Heilongjiang 150001, P.R. China.
Xingxing YuanDepartment of Gastroenterology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin, Heilongjiang 150001, P.R. China.
First Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNHeilongjiang Academy of Sciences · CNHeilongjiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis is a common pathological process of chronic liver diseases, including viral hepatitis and alcoholic liver disease, and ultimately progresses to irreversible cirrhosis and cancer. Hepatic stellate cells (HSCs) are activated to produce amounts of collagens in response to liver injury, thus triggering the initiation and progression of fibrogenesis. Natural killer (NK) cells serve as the essential component of hepatic innate immunity and are considered to alleviate fibrosis by killing activated HSCs. Current antifibrotic interventions have improved fibrosis, but fail to halt its progression in the advanced stage. Clarifying the interaction between NK cells and HSCs will provide clues to the pathogenesis and potential therapies for advanced liver fibrosis.

Indexed as

Hepatic Stellate CellsLiver CirrhosisFibrosisHumansKiller Cells, Naturalcrosstalkfibrosishepatic stellate cellsnatural killer cellsTGF‑β

Identifiers

PMID35506449
PMCPMC9133963
OpenAlexW4225400646

What OpenQuestion holds

Textmetadata
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.