Evidence map›Paper›PMID 28597398›Full record

ArticleNeurochemical research2017

Determination of Brain-Regional Blood Perfusion and Endogenous cPKCγ Impact on Ischemic Vulnerability of Mice with Global Ischemia.

Shuiqiao Liu, Qingqing Dai, Rongrong Hua, Ting Liu, Song Han, Shujuan Li, Junfa Li

Abstract read
PubMed Publisher
In one paragraph

Article in Neurochemical research, 2017. 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 30% 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, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Shuiqiao LiuDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China.
Qingqing DaiDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China.
Rongrong HuaDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China.
Ting LiuDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China.
Song HanDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China.
Shujuan LiDepartment of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People's Republic of China. shujuanli@ccmu.edu.cn.
Junfa LiDepartment of Neurobiology and Center of Stroke, Beijing Institute for Brain Disorders, Capital Medical University, #10 You An Men Wai Xi Tou Tiao, Beijing, 100069, People's Republic of China. junfali@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-1930-9724
Capital Medical University · CN

Funding

Beijing Natural Science Foundation 7132070Beijing Natural Science Foundation 7141001National Natural Science Foundation of China 31471142National Natural Science Foundation of China 31671205National Natural Science Foundation of China 81301015the Seed Grant of International Alliance of Translational Neuroscience PXM2014-014226-000006
6 · The paper itself

Abstract

Conventional protein kinase C (cPKC)γ participated in cerebral hypoxic preconditioning-induced neuroprotection and affected the neurological outcome of ischemic stroked mice. As an independent predictor of ischemic stroke, the internal carotid artery occlusion (ICAO)-caused brain-regional ischemic injury may worsen the neurological outcome of patients. However, the brain-regional ischemic vulnerability and its underlying mechanism remain unclear. In this study, the bilateral ICAO (BICAO) model was applied in cPKCγ wild type (WT) and knockout (KO) mice to determine the cPKCγ impact on brain-regional ischemic vulnerability. The arterial spin labeling (ASL) imaging results showed that 7 days BICAO-induced global ischemia could cause significant blood perfusion loss in prefrontal cortex (69.13%), striatum (61.69%), hypothalamus (67.36%), hippocampus (69.82%) and midbrain (40.53%) of WT mice, along with neurological deficits. Nissl staining and Western blot results indicated that hypothalamus and midbrain had more severe neural cell loss than prefrontal cortex, striatum and hippocampus, which negatively coincided with endogenous cPKCγ protein levels but not blood perfusion loss and cPKCγ membrane translocation levels. Furthermore, we found that cPKCγ KO significantly aggravated the neuron loss in prefrontal cortex, striatum and hippocampus and abolish the regional ischemic vulnerability by using immunofluorescent staining with neuron-specific marker NeuN. Similarly, cPKCγ KO also significantly increased Caspase-3, -8 and -9 cleavage levels in prefrontal cortex, striatum, hippocampus, hypothalamus and midbrain of mice with 24 h BICAO. These results suggested that hypothalamus and midbrain are more vulnerable to ischemia, and endogenous cPKCγ affects the regional ischemic vulnerability through modulating Caspase-8 and -9 dependent cell apoptosis.

Indexed as

AnimalsBrainBrain IschemiaIschemiaIschemic PreconditioningMaleMice, Inbred C57BLNeuronsNeuroprotectionProtein Kinase CProtein Kinase CApoptosisGlobal ischemiaIschemic vulnerabilityProtein kinase CStroke

Identifiers

PMID28597398
OpenAlexW2622395552

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.