Evidence map›Paper›PMID 34490253›Full record

ArticleFrontiers in cell and developmental biology2021

Reconstruction of the Cytokine Signaling in Lysosomal Storage Diseases by Literature Mining and Network Analysis.

Silvia Parolo, Danilo Tomasoni, Pranami Bora, Alan Ramponi, Chanchala Kaddi, Karim Azer, Enrico Domenici, Susana Neves-Zaph, Rosario Lombardo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

9 authors at 3 institutions in 2 countries.

Silvia ParoloFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Danilo TomasoniFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Pranami BoraFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Alan RamponiFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Chanchala KaddiData and Data Science - Translational Disease Modeling, Sanofi, Bridgewater, NJ, United States.
Karim AzerData and Data Science - Translational Disease Modeling, Sanofi, Bridgewater, NJ, United States.
Enrico DomeniciFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
Susana Neves-ZaphData and Data Science - Translational Disease Modeling, Sanofi, Bridgewater, NJ, United States.
Rosario LombardoFondazione the Microsoft Research-University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
University of Trento · ITSanofi (United States) · USThe Microsoft Research - University of Trento Centre for Computational and Systems Biology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysosomal storage diseases (LSDs) are characterized by the abnormal accumulation of substrates in tissues due to the deficiency of lysosomal proteins. Among the numerous clinical manifestations, chronic inflammation has been consistently reported for several LSDs. However, the molecular mechanisms involved in the inflammatory response are still not completely understood. In this study, we performed text-mining and systems biology analyses to investigate the inflammatory signals in three LSDs characterized by sphingolipid accumulation: Gaucher disease, Acid Sphingomyelinase Deficiency (ASMD), and Fabry Disease. We first identified the cytokines linked to the LSDs, and then built on the extracted knowledge to investigate the inflammatory signals. We found numerous transcription factors that are putative regulators of cytokine expression in a cell-specific context, such as the signaling axes controlled by STAT2, JUN, and NR4A2 as candidate regulators of the monocyte Gaucher disease cytokine network. Overall, our results suggest the presence of a complex inflammatory signaling in LSDs involving many cellular and molecular players that could be further investigated as putative targets of anti-inflammatory therapies.

Indexed as

ASMDcytokineFabryGaucherlysosomal storage diseasesnatural language processingsystems biologytext-mining

Identifiers

PMID34490253
PMCPMC8417786
OpenAlexW3195793979

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.