Evidence map›Paper›PMID 31754458›Full record

ArticleNPJ systems biology and applications2019

A network-based approach to uncover microRNA-mediated disease comorbidities and potential pathobiological implications.

Shuting Jin, Xiangxiang Zeng, Jiansong Fang, Jiawei Lin, Stephen Y Chan, Serpil C Erzurum, Feixiong Cheng

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Evaluating Genetic Regulators of MicroRNAs Using Machine Learning Models.International journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Predicting candidate biomarkers for COVID-19 associated with leukemia in children.American journal of clinical and experimental immunology · 2024
    Article
  10. Article
  11. Exploring novel disease-disease associations based on multi-view fusion network.Computational and structural biotechnology journal · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Honeysuckle (Frontiers in pharmacology · 2021
    Article
  20. 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

7 authors.

Shuting Jin *1Department of Computer Science, Xiamen University, Xiamen, 361005 China.
Xiangxiang Zeng *2School of Information Science and Engineering, Hunan University, Changsha, 410082 China.
Jiansong Fang3Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.
Jiawei Lin1Department of Computer Science, Xiamen University, Xiamen, 361005 China.
Stephen Y Chan4Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, Division of Cardiology, Department of Medicine, University of Pittsburgh Medical Center (UPMC) and University of Pittsburgh School of Medicine, Pittsburgh, PA 15213 USA.
Serpil C Erzurum5Department of Pathobiology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.
Feixiong Cheng3Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 USA.

Funding

Defining the Complex Biology of the miR-130/301 Family in Pulmonary HypertensionR01HL124021 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2014 to 2025
$4.9M
Iron-Sulfur Deficiency as a Critical Pathogenic Cause of Pulmonary HypertensionR01HL122596 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2015 to 2024
$4.5M
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
An individualized network medicine infrastructure for precision cardio-oncologyR00HL138272 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI CHENG, FEIXIONG · 2018 to 2020
$747k
Computational repurposing of chemotherapies for pulmonary hypertensionUH2TR002073 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2017 to 2018
$615k
Computational repurposing of chemotherapies for pulmonary hypertensionUH3TR002073 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2019 to 2019
$155k
An individualized network medicine infrastructure for precision cardio-oncologyK99HL138272 · NHLBI · NORTHEASTERN UNIVERSITY · PI CHENG, FEIXIONG · 2017 to 2017
$86k
NCATS NIH HHS UH2 TR002073NCATS NIH HHS UH3 TR002073NHLBI NIH HHS K99 HL138272NHLBI NIH HHS R00 HL138272NHLBI NIH HHS R01 HL122596NHLBI NIH HHS R01 HL124021NHLBI NIH HHS R01 HL138437
6 · The paper itself

Abstract

Disease-disease relationships (e.g., disease comorbidities) play crucial roles in pathobiological manifestations of diseases and personalized approaches to managing those conditions. In this study, we develop a network-based methodology, termed meta-path-based Disease Network (mpDisNet) capturing algorithm, to infer disease-disease relationships by assembling four biological networks: disease-miRNA, miRNA-gene, disease-gene, and the human protein-protein interactome. mpDisNet is a meta-path-based random walk to reconstruct the heterogeneous neighbors of a given node. mpDisNet uses a heterogeneous skip-gram model to solve the network representation of the nodes. We find that mpDisNet reveals high performance in inferring clinically reported disease-disease relationships, outperforming that of traditional gene/miRNA-overlap approaches. In addition, mpDisNet identifies network-based comorbidities for pulmonary diseases driven by underlying miRNA-mediated pathobiological pathways (i.e., hsa-let-7a- or hsa-let-7b-mediated airway epithelial apoptosis and pro-inflammatory cytokine pathways) as derived from the human interactome network analysis. The mpDisNet offers a powerful tool for network-based identification of disease-disease relationships with miRNA-mediated pathobiological pathways.

Indexed as

AlgorithmsComorbidityComputational BiologyDiseaseEpidemiologic MethodsEpidemiologyGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsPathologyMicroRNAsCardiologyComputational biology and bioinformaticsRegulatory networks

Identifiers

PMID31754458
PMCPMC6853960

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Registered trials

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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.