Evidence map›Paper›PMID 38236344›Full record

ReviewMolecular neurobiology2024

The Roles of Non-coding RNA Targeting Astrocytes in Cerebral Ischemia.

Chun-Mei Long, Zhen Li, Wang Song, Xin Zeng, Rui Yang, Li Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Chun-Mei LongSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 73000, Gansu, China.
Zhen LiSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 73000, Gansu, China.
Wang SongSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 73000, Gansu, China.
Xin ZengSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 73000, Gansu, China.
Rui YangThe Endocrinology Department, Lanzhou Hospital of Traditional Chinese Medicine, Lanzhou, 73000, Gansu, China.
Li LuSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 73000, Gansu, China. lul@lzu.edu.cn.ORCID http://orcid.org/0000-0002-2224-6963
Lanzhou University · CNGansu University of Traditional Chinese Medicine · CN

Funding

Key Science and Technology Foundation of Gansu Province ZYFYZH-KJ-2016-004Natural Science Foundation of Gansu Province 21JR7RA453Science and Technology Program of Gansu Province 2020-ZD-165
6 · The paper itself

Abstract

Astrocytes are key targets for treating cerebral ischemia in the central nervous system. Non-coding RNAs (ncRNAs) participate in the pathological processes of astrocytes in cerebral ischemia. Recent reports suggest that ncRNAs ameliorate the outcome of cerebral ischemia by mediating astrocytes' inflammatory reaction, oxidative stress, excitotoxicity, autophagy, and apoptosis. Reconstructing cellular systems might offer a promising strategy for treating cerebral ischemia. This review briefly discusses the potential of ncRNAs as drug targets and explores the molecular regulatory mechanisms through which ncRNAs target astrocytes in cerebral ischemia. It provides an overview of the current research, discusses ncRNAs' implications as clinical markers for cerebral ischemia, and anticipates that ongoing research on ncRNAs may contribute to novel therapeutic approaches for treating this condition.

Indexed as

AstrocytesBrain IschemiaRNA, UntranslatedAnimalsHumansOxidative StressRNA, UntranslatedAstrocytesCerebral ischemiacircRNAslncRNAsmiRNAsTherapeutic targets

Identifiers

PMID38236344
OpenAlexW4390984308

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.