Evidence map›Paper›PMID 39589570›Full record

ArticleNeurogenetics2024

Analysis of Alzheimer's disease associated deleterious non-synonymous single nucleotide polymorphisms and their impacts on protein structure and function by performing in-silico methods.

Betul Akcesme, Nadia Islam, Delila Lekic, Raisa Cutuk, Nejla Basovic

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Article in Neurogenetics, 2024. 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
–field-weighted citation impact
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.

  1. 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

5 authors.

Betul AkcesmeDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina. betul.akcesme@sbu.edu.tr.ORCID http://orcid.org/0000-0002-3730-9963
Nadia IslamDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.ORCID http://orcid.org/0009-0007-3920-1140
Delila LekicDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Raisa CutukDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Nejla BasovicDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder that is presented with a progressive loss of memory, a decline in cognitive abilities and multiple changes in behavior. Its pathogenicity has been linked to genetic factors in approximately 60-80% of the cases specifically APOE gene family and as well as other gene families. This study utilized advanced computational biology methods to analyze AD-associated nsSNPs extracted from the NHGRI-EBI GWAS Catalog. Ensembl Variant Effect Predictor (VEP) is used to annotate the variants associated with AD. Annotated missense variants were subjected to PolyPhen-2, SNPs&Go, PredictSNP servers which were used to predict pathogenicity of selected missense variants by protein sequence information. DynaMut and DUET servers were applied to determine protein stability due to the amino acid change by integrating protein structure information. Missense variations associated with AD were annotated to 26 proteins and further analyzed in our study. Following rigorous data filtration steps, 15 candidate variants (13 proteins) were identified and subjected to sequence and structure-based analysis. Finally in this in-silico study, five deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) were identified in ACKR2(V41A), APOE(R176C), ATP8B4(G395S), LAMB2(E987K), and TOMM40(R239W), and these findings were subsequently backed-up by existing in-vivo and in-vitro literature. This study not only provides invaluable insight into the intricate pathogenic mechanisms underlying AD but also offers a distinctive perspective that paves the way for future, more comprehensive investigations aimed at unraveling the molecular intricacies responsible for the development and progression of AD. Nonetheless, it is imperative that further rigorous in vivo and in vitro experiments are conducted to validate and expand upon the findings presented here.

Indexed as

Alzheimer DiseaseComputer SimulationPolymorphism, Single NucleotideApolipoproteins EComputational BiologyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMutation, MissenseApolipoproteins EAlzheimer’s diseaseGWAS catalogMissense variationsProtein structureStructural bioinformatics

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Registered trials

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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.