Evidence map›Paper›PMID 29852125›Full record

ReviewDrug discovery today2019

microRNAs and cardiac stem cells in heart development and disease.

Bo Li, Xianmei Meng, Lubo Zhang

Abstract readReview
In one paragraph

Review in Drug discovery today, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

3 authors.

Bo LiLawrence D. Longo, MD Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA. Electronic address: boli@llu.edu.
Xianmei MengLawrence D. Longo, MD Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA.
Lubo ZhangLawrence D. Longo, MD Center for Perinatal Biology, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA.

Funding

Uterine Vascular Adaptation to Pregnancy and Chronic HypoxiaP01HD083132 · NICHD · LOMA LINDA UNIVERSITY · PI DUCSAY, CHARLES A · 2016 to 2020
$6.3M
Maternal Hypoxia and Programming of Fetal HeartR01HL083966 · NHLBI · LOMA LINDA UNIVERSITY · PI ZHANG, LUBO · 2007 to 2011
$1.8M
Developmental Programming of Ischemic-Sensitive Phenotype in the HeartR01HL118861 · NHLBI · LOMA LINDA UNIVERSITY · PI ZHANG, LUBO · 2014 to 2017
$1.8M
MicroRNA 210 and Perinatal Hypoxic-Ischemic Brain InjuryR21NS103017 · NINDS · LOMA LINDA UNIVERSITY · PI ZHANG, LUBO · 2017 to 2018
$435k
NHLBI NIH HHS R01 HL083966NHLBI NIH HHS R01 HL118861NICHD NIH HHS P01 HD083132NINDS NIH HHS R21 NS103017
6 · The paper itself

Abstract

Cumulative evidence has proven that proliferation, differentiation and migration of cardiac stem cells (CSCs) dominate early heart development and contribute to the later occurrence of heart disease. Among other mechanisms, microRNAs work as the 'fine-tuning' to modulate the levels of target genes in a specific cell type. The distinct microRNA signatures in CSCs reveal the stages and functions of CSCs. The focus of this review is to summarize recent knowledge advances in CSC proliferation, differentiation and migration and to discuss how microRNAs regulate these processes during heart development and in heart disease. Better understanding of microRNA regulation on CSCs under different situations will enable the unveiling of the mechanisms of heart disease and open new avenues in the therapeutic potentials of microRNA modulation to treat heart disease.

Indexed as

MicroRNAsAnimalsHeartHeart DiseasesHumansMyocardiumStem CellsMicroRNAs

Identifiers

PMID29852125
PMCPMC6261710

What OpenQuestion holds

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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.