Evidence map›Paper›PMID 31417100›Full record

ArticleScientific reports2019

A Network of SLC and ABC Transporter and DME Genes Involved in Remote Sensing and Signaling in the Gut-Liver-Kidney Axis.

Sara Brin Rosenthal, Kevin T Bush, Sanjay K Nigam

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Uremic Toxins in Organ Crosstalk.Frontiers in medicine · 2021
    Pooled it
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  17. International journal of molecular sciences · 2023
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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 at 1 institution in 1 country.

Sara Brin RosenthalCenter for Computational Biology and Bioinformatics, University of California at San Diego, La Jolla, CA, 92093-0693, USA.ORCID http://orcid.org/0000-0002-6548-9658
Kevin T BushDepartments of Pediatrics, University of California at San Diego, La Jolla, CA, 92093-0693, USA.
Sanjay K NigamDepartments of Pediatrics, University of California at San Diego, La Jolla, CA, 92093-0693, USA. snigam@ucsd.edu.
University of California San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
The Role of OAT1 in UremiaR01DK109392 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIGAM, SANJAY K · 2017 to 2025
$3.8M
Safety and Dose Optimization of High-Dose Anakinra in Kawasaki DiseaseU54HD090259 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIGAM, SANJAY K · 2016 to 2018
$2.2M
Role of the renal organic anion transporter OAT1 in metabolism and physiologyR01GM132938 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIGAM, SANJAY K · 2019 to 2022
$2.0M
Safety and Dose Optimization of High-Dose Anakinra in Kawasaki DiseaseP50HD090259 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CAPPARELLI, EDMUND VINCENT, NIZET, VICTOR · 2019 to 2020
$1.4M
NCATS NIH HHS UL1 TR001442NICHD NIH HHS P50 HD090259NICHD NIH HHS U54 HD090259NIDDK NIH HHS R01 DK109392NIGMS NIH HHS R01 GM132938
6 · The paper itself

Abstract

Genes central to drug absorption, distribution, metabolism and elimination (ADME) also regulate numerous endogenous molecules. The Remote Sensing and Signaling Hypothesis argues that an ADME gene-centered network-including SLC and ABC "drug" transporters, "drug" metabolizing enzymes (DMEs), and regulatory genes-is essential for inter-organ communication via metabolites, signaling molecules, antioxidants, gut microbiome products, uremic solutes, and uremic toxins. By cross-tissue co-expression network analysis, the gut, liver, and kidney (GLK) formed highly connected tissue-specific clusters of SLC transporters, ABC transporters, and DMEs. SLC22, SLC25 and SLC35 families were network hubs, having more inter-organ and intra-organ connections than other families. Analysis of the GLK network revealed key physiological pathways (e.g., involving bile acids and uric acid). A search for additional genes interacting with the network identified HNF4α, HNF1α, and PXR. Knockout gene expression data confirmed ~60-70% of predictions of ADME gene regulation by these transcription factors. Using the GLK network and known ADME genes, we built a tentative gut-liver-kidney "remote sensing and signaling network" consisting of SLC and ABC transporters, as well as DMEs and regulatory proteins. Together with protein-protein interactions to prioritize likely functional connections, this network suggests how multi-specificity combines with oligo-specificity and mono-specificity to regulate homeostasis of numerous endogenous small molecules.

Indexed as

Gene Expression RegulationSignal TransductionATP-Binding Cassette TransportersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansIntestinal MucosaKidneyLiverMicroRNAsMolecular Sequence AnnotationSolute Carrier ProteinsATP-Binding Cassette TransportersMicroRNAsSolute Carrier Proteins

Identifiers

PMID31417100
PMCPMC6695406
OpenAlexW2968147454

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.