Evidence map›Paper›PMID 36637744›Full record

ArticleMolecular neurobiology2023

Synonymous Codon Variant Analysis for Autophagic Genes Dysregulated in Neurodegeneration.

Rekha Khandia, Megha Katare Pandey, Igor Vladimirovich Rzhepakovsky, Azmat Ali Khan, Athanasios Alexiou

Abstract read
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Article in Molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

5 authors at 4 institutions in 3 countries.

Rekha KhandiaDepartment of Biochemistry and Genetics, Barkatullah University, Bhopal, 462026, India. bu.rekha.khandia@gmail.com.ORCID http://orcid.org/0000-0002-9961-3127
Megha Katare PandeyDepartment of Translational Medicine, All India Institute of Medical Sciences, Bhopal, 462020, India.
Igor Vladimirovich RzhepakovskyMedical and Biological Faculty, North Caucasus Federal University, Stavropol, Russia.
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia. azkhan@ksu.edu.sa.
Athanasios AlexiouNovel Global Community Educational Foundation, Hebersham, Australia.
All India Institute of Medical Sciences Bhopal · INBarkatullah University · INKing Saud University · SANorth-Caucasus Federal University · RU

Funding

King Saud University RSP-2021/339
6 · The paper itself

Abstract

Neurodegenerative disorders are often a culmination of the accumulation of abnormally folded proteins and defective organelles. Autophagy is a process of removing these defective proteins, organelles, and harmful substances from the body, and it works to maintain homeostasis. If autophagic removal of defective proteins has interfered, it affects neuronal health. Some of the autophagic genes are specifically found to be associated with neurodegenerative phenotypes. Non-functional, mutated, or gene copies having silent mutations, often termed synonymous variants, might explain this. However, these synonymous variant which codes for exactly similar proteins have different translation rates, stability, and gene expression profiling. Hence, it would be interesting to study the pattern of synonymous variant usage. In the study, synonymous variant usage in various transcripts of autophagic genes ATG5, ATG7, ATG8A, ATG16, and ATG17/FIP200 reported to cause neurodegeneration (if dysregulated) is studied. These genes were analyzed for their synonymous variant usage; nucleotide composition; any possible nucleotide skew in a gene; physical properties of autophagic protein including GRAVY and AROMA; hydropathicity; instability index; and frequency of acidic, basic, neutral amino acids; and gene expression level. The study will help understand various evolutionary forces acting on these genes and the possible augmentation of a gene if showing unusual behavior.

Indexed as

Evolution, MolecularSilent MutationCodonNucleotidesCodonNucleotidesATG16L1Atg5Atg7Autophagy genesCodon usageNeurodegenerationNeuronal survival FIP200 (human counterpart Atg17 gene)

Identifiers

PMID36637744
OpenAlexW4315853137

What OpenQuestion holds

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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.