Evidence map›Paper›PMID 37322437›Full record

ArticleBMC bioinformatics2023

In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function.

Khyber Shinwari, Yurong Wu, Hafiz Muzzammel Rehman, Ningkun Xiao, Mikhail Bolkov, Irina Tuzankina, Valery Chereshnev

Open access · goldAbstract read
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Article in BMC bioinformatics, 2023. 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
2.6field-weighted citation impact, top 10% 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, 10 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Khyber ShinwariInstitute of Chemical Engineering, Department of Immunochemistry, Ural Federal University, Yekaterinburg, Russia. khybershinwari05@gmail.com.ORCID https://orcid.org/0000-0002-9800-2797
Yurong WuDepartment of Chemistry, Hong Kong University of Science and Technology, Hong Kong, China.ORCID http://orcid.org/0000-0002-9493-0916
Hafiz Muzzammel RehmanUniversity of the Punjab Institute of Biochemistry and Biotechnology, Lahore, Pakistan.
Ningkun XiaoDepartment of Psychology, Ural Federal University, Yekaterinburg, Russia.ORCID http://orcid.org/0000-0002-0615-3222
Mikhail BolkovInsitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia.ORCID http://orcid.org/0000-0003-2763-9907
Irina TuzankinaInsitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia.ORCID http://orcid.org/0000-0001-7496-0950
Valery ChereshnevInsitutite of Immunology and Physiology, Russian Academy of Science, Yekaterinburg, Russia.ORCID http://orcid.org/0000-0003-4329-147X
Institute of Immunology and Physiology · RUUral Federal University · RUHong Kong University of Science and Technology · HKUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hennekam Lymphangiectasia-Lymphedema Syndrome 3 (HKLLS3) is a rare genetical disorder caused by mutations in a few genes including ADAMTS3. It is characterized by lymphatic dysplasia, intestinal lymphangiectasia, severe lymphedema and distinctive facial appearance. Up till now, no extensive studies have been conducted to elucidate the mechanism of the disease caused by various mutations. As a preliminary investigation of HKLLS3, we sorted out the most deleterious nonsynonymous single nucleotide polymorphisms (nsSNPs) that might affect the structure and function of ADAMTS3 protein by using a variety of in silico tools. A total of 919 nsSNPs in the ADAMTS3 gene were identified. 50 nsSNPs were predicted to be deleterious by multiple computational tools. 5 nsSNPs (G298R, C567Y, A370T, C567R and G374S) were found to be the most dangerous and can be associated with the disease as predicted by different bioinformatics tools. Modelling of the protein shows it can be divided into segments 1, 2 and 3, which are connected by short loops. Segment 3 mainly consists of loops without substantial secondary structures. With prediction tools and molecular dynamics simulation, some SNPs were found to significantly destabilize the protein structure and disrupt the secondary structures, especially in segment 2. The deleterious effects of mutations in segment 1 are possibly not from destabilization but from other factors such as the change in phosphorylation as suggested by post-translational modification (PTM) studies. This is the first-ever study of ADAMTS3 gene polymorphism, and the predicted nsSNPs in ADAMST3, some of which have not been reported yet in patients, will serve for diagnostic purposes and further therapeutic implications in Hennekam syndrome, contributing to better diagnosis and treatment.

Indexed as

LymphedemaPolymorphism, Single NucleotideComputational BiologyCraniofacial AbnormalitiesHumansLymphangiectasis, IntestinalMolecular Dynamics SimulationProtein StabilityADAMTS3Hennekam syndromeIn-silicoNonsynonymous SNPPrimary immunodeficiency

Identifiers

PMID37322437
PMCPMC10268432
OpenAlexW4380841929

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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.