Evidence map›Paper›PMID 30113078›Full record

ReviewThe Journal of physiology2019

Evolving systems biology approaches to understanding non-coding RNAs in pulmonary hypertension.

Lloyd D Harvey, Stephen Y Chan

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Lloyd D HarveyMedical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0001-5934-9934
Stephen Y ChanCenter for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.ORCID 0000-0002-9520-7527
University of Pittsburgh · US

Funding

Molecular Drivers of Vascular Stiffness and Metabolic Dysfunction in HIV-Induced Pulmonary Arterial HypertensionR01HL138437 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y, NORRIS, KAREN A · 2017 to 2020
$2.4M
HIV-infected Macrophages Induce Endothelial Cell Dysfunction and Metabolic Reprogramming to Promote HIV-associated Pulmonary Arterial HypertensionF30HL143879 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARVEY, LLOYD DAVID · 2018 to 2021
$192k
NHLBI NIH HHS F30 HL143879NHLBI NIH HHS R01 HL138437
6 · The paper itself

Abstract

Our appreciation of the roles of non-coding RNAs, in particular microRNAs, in the manifestation of pulmonary hypertension (PH) has advanced considerably over the past decade. Comprised of small nucleotide sequences, microRNAs have demonstrated critical and broad regulatory roles in the pathogenesis of PH via the direct binding to messenger RNA transcripts for degradation or inhibition of translation, thereby exerting a profound influence on cellular activity. Yet, as inherently pleiotropic molecules, microRNAs have been difficult to study using traditional, reductionist approaches alone. With the advent of high-throughput -omics technologies and more advanced computational modelling, the study of microRNAs and their multi-faceted and complex functions in human disease serves as a fertile platform for the application of systems biology methodologies in combination with traditional experimental techniques. Here, we offer our viewpoint of past successes of systems biology in elucidating the otherwise hidden actions of microRNAs in PH, as well as areas for future development to integrate these strategies into the discovery of RNA pathobiology in this disease. We contend that such successful applications of systems biology in elucidating the functional architecture of microRNA regulation will further reveal the molecular mechanisms of disease, while simultaneously revealing potential diagnostic and therapeutic strategies in disease amelioration.

Indexed as

AnimalsHumansHypertension, PulmonaryRNA, Long NoncodingSystems BiologyRNA, Long NoncodingmicroRNAnon-coding RNApulmonary hypertensionsystems biology

Identifiers

PMID30113078
PMCPMC6375871
OpenAlexW2892495949

What Socratic 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 Socratic graph.