Evidence map›Paper›PMID 35877764›Full record

ArticlePloS one2022

DES-Amyloidoses "Amyloidoses through the looking-glass": A knowledgebase developed for exploring and linking information related to human amyloid-related diseases.

Vladan P Bajic, Adil Salhi, Katja Lakota, Aleksandar Radovanovic, Rozaimi Razali, Lada Zivkovic, Biljana Spremo-Potparevic, Mahmut Uludag, Faroug Tifratene, Olaa Motwalli and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

15 authors at 4 institutions in 4 countries.

Vladan P BajicInstitute of Nuclear Sciences "VINCA", Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Republic of Serbia.ORCID 0000-0002-2333-8245
Adil SalhiComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Katja LakotaDepartment of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Aleksandar RadovanovicComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Rozaimi RazaliComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Lada ZivkovicDepartment of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Biljana Spremo-PotparevicDepartment of Pathobiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Mahmut UludagComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Faroug TifrateneComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Olaa MotwalliSaudi Electronic University (SEU), College of Computing and Informatics, Madinah, Kingdom of Saudi Arabia.
Benoit MarchandNew York University, Abu Dhabi, UAE.
Vladimir B BajicComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Takashi GojoboriComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Esma R IsenovicInstitute of Nuclear Sciences "VINCA", Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Republic of Serbia.
Magbubah EssackComputational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.ORCID 0000-0003-2709-5356
University of Belgrade · RSKing Abdullah University of Science and Technology · SASaudi Electronic University · SANew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 30 types of amyloids are linked to close to 50 diseases in humans, the most prominent being Alzheimer's disease (AD). AD is brain-related local amyloidosis, while another amyloidosis, such as AA amyloidosis, tends to be more systemic. Therefore, we need to know more about the biological entities' influencing these amyloidosis processes. However, there is currently no support system developed specifically to handle this extraordinarily complex and demanding task. To acquire a systematic view of amyloidosis and how this may be relevant to the brain and other organs, we needed a means to explore "amyloid network systems" that may underly processes that leads to an amyloid-related disease. In this regard, we developed the DES-Amyloidoses knowledgebase (KB) to obtain fast and relevant information regarding the biological network related to amyloid proteins/peptides and amyloid-related diseases. This KB contains information obtained through text and data mining of available scientific literature and other public repositories. The information compiled into the DES-Amyloidoses system based on 19 topic-specific dictionaries resulted in 796,409 associations between terms from these dictionaries. Users can explore this information through various options, including enriched concepts, enriched pairs, and semantic similarity. We show the usefulness of the KB using an example focused on inflammasome-amyloid associations. To our knowledge, this is the only KB dedicated to human amyloid-related diseases derived primarily through literature text mining and complemented by data mining that provides a novel way of exploring information relevant to amyloidoses.

Indexed as

Alzheimer DiseaseAmyloidosisAmyloidHumansKnowledge BasesSerum Amyloid A ProteinAmyloidSerum Amyloid A Protein

Identifiers

PMID35877764
PMCPMC9312389
OpenAlexW4287509808

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.