Evidence map›Paper›PMID 31938690›Full record

ArticleWorld journal of experimental medicine2019

Localization of ATP-sensitive K

Ming Zhou, Kiwamu Yoshikawa, Hideo Akashi, Mitsutaka Miura, Ryoji Suzuki, Tao-Sheng Li, Hiroshi Abe, Yoshio Bando

Open access · diamondAbstract read
In one paragraph

Article in World journal of experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Expression levels of KWorld journal of experimental medicine · 2024
    Article
  2. Functional Regulation of KFrontiers in pharmacology · 2022
    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

8 authors at 2 institutions in 1 country.

Ming ZhouDepartment of Anatomy, Akita University Graduate School of Medicine, Akita 010-8543, Japan. mzhou@med.akita-u.ac.jp.
Kiwamu YoshikawaDepartment of Cell Biology and Morphology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Hideo AkashiDepartment of Anatomy, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Mitsutaka MiuraDepartment of Cell Biology and Morphology, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Ryoji SuzukiDepartment of Anatomy, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Tao-Sheng LiDepartment of Stem Cell Biology, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki 852-8523, Japan.
Hiroshi AbeTRUST, A Long-Term Care Health Facility, Sendai 980-0011, Japan.
Yoshio BandoDepartment of Anatomy, Akita University Graduate School of Medicine, Akita 010-8543, Japan.
Akita University · JPNagasaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundATP-sensitive K

aimTo investigate the expression of K

methodsRabbit anti-rat SUR1 peptide antibody was raised and purified by antigen immunoaffinity column chromatography. Four of Sprague-Dawley rats were used for liver protein extraction for immunoblot analysis, seven of them were used for immunohistochemistry both for the ABC method and immunofluorescence staining. Four of Wistar rats were used for the isolation of hepatic stellate cells (HSCs) and Kupffer cells for both primary culture and immunocytochemistry.

resultsImmunoblot analysis showed that the five kinds of K

conclusionObservations from the present study indicated that K

Indexed as

ATP-sensitive K+ channelHepatic stellate cellsKupffer cellsLiverRatSinusoidal endothelial cells

Identifiers

PMID31938690
PMCPMC6955576
OpenAlexW2995986697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.