Evidence map›Paper›PMID 32848883›Full record

ArticleFrontiers in physiology2020

Systems Analysis of Biliary Atresia Through Integration of High-Throughput Biological Data.

Jun Min, Mylarappa Ningappa, Juhoon So, Donghun Shin, Rakesh Sindhi, Shankar Subramaniam

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Biliary atresia.Nature reviews. Disease primers · 2024
    Review
  5. Article
  6. 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

6 authors at 5 institutions in 1 country.

Jun MinDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
Mylarappa NingappaHillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, United States.
Juhoon SoDepartment of Developmental Biology, McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Donghun ShinDepartment of Developmental Biology, McGowan Institute of Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Rakesh SindhiHillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, United States.
Shankar SubramaniamDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
McGowan Institute for Regenerative Medicine · USChildren's Hospital of Pittsburgh · USLa Jolla Bioengineering Institute · USUniversity of California, San Diego · USUniversity of Pittsburgh Medical Center · US

Funding

Mapping Disease Pathways for Biliary AtresiaR01DK109365 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHIN, DONGHUN, SINDHI, RAKESH K. · 2017 to 2020
$2.4M
NIDDK NIH HHS R01 DK109365
6 · The paper itself

Abstract

Biliary atresia (BA), blockage of the proper bile flow due to loss of extrahepatic bile ducts, is a rare, complex disease of the liver and the bile ducts with unknown etiology. Despite ongoing investigations to understand its complex pathogenesis, BA remains the most common cause of liver failure requiring liver transplantation in children. To elucidate underlying mechanisms, we analyzed the different types of high-throughput genomic and transcriptomic data collected from the blood and liver tissue samples of children suffering from BA. Through use of a novel integrative approach, we identified potential biomarkers and over-represented biological functions and pathways to derive a comprehensive network showing the dysfunctional mechanisms associated with BA. One of the pathways highlighted in the integrative network was hypoxia signaling. Perturbation with hypoxia inducible factor activator, dimethyloxalylglycine, induced the biliary defects of BA in a zebrafish model, serving as a validation for our studies. Our approach enables a systems-level understanding of human BA biology that is highlighted by the interaction between key biological functions such as fibrosis, inflammation, immunity, hypoxia, and development.

Indexed as

biliary atresiaintegrative methodnetwork reconstructionomics analysissystems biology

Identifiers

PMID32848883
PMCPMC7426509
OpenAlexW3047680266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.