Evidence map›Paper›PMID 34227035›Full record

ArticleJournal of molecular neuroscience : MN2021

In Silico Analysis to Link Insulin Resistance, Obesity and Ageing with Alzheimer's Disease.

Priyanka Sarkar, Premkumar Jayaraj, Ketaki Patwardhan, Samiksha Yeole, Sourajit Das, Yash Somaiya, Rajagopal Desikan, Kavitha Thirumurugan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular neuroscience : MN, 2021. 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
0.6field-weighted citation impact, top 30% 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, 4 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

8 authors at 1 institution in 1 country.

Priyanka SarkarStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India.
Premkumar JayarajTechnology Tower, Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, India.
Ketaki PatwardhanStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India.
Samiksha YeoleStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India.
Sourajit DasStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India.
Yash SomaiyaStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India.
Rajagopal DesikanTechnology Tower, Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, 632014, India.
Kavitha ThirumuruganStructural Biology Lab, School of Biosciences & Technology, Vellore Institute of Technology, Vellore, 632014, India. m.kavitha@vit.ac.in.ORCID http://orcid.org/0000-0002-4673-4099
Vellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of ageing accompanies several metabolic diseases. With ageing, fats accumulate to increase the visceral and abdominal adiposity leading to hyperinsulinemia, insulin resistance, obesity and several other diseases. Drosophila melanogaster is often used to study the ageing process and its related disorders. Therefore, in this study, we performed an in silico analysis to relate the process of ageing and insulin resistance. We analysed the data of insulin-resistant Drosophila from the GEO database and compared it with the data from the literature survey. We observed that 98 genes were common in both the models, and they showed gene modulations related to metabolic pathways, fatty acid metabolism, insulin resistance and neural receptor-ligand binding pathways. Analysis of the REACTOME database against human data revealed that the TRKB signalling pathway is commonly affected. The TRKB-mediated BDNF pathway is a major regulator of memory loss. We further analysed the common genes in Alzheimer's disease and compared the fly data with human data to identify the diseases related to these common genes. Then, we performed a literature survey to provide protective mechanisms for the TRKB signalling pathway activation, mediated through polyphenols. We treated the flies with sesamol-conjugated lipoic acid derivative (a phenolic compound) at hormetic doses to evaluate its effect on the memory of flies.

Indexed as

AgingAlzheimer DiseaseAnimalsBrain-Derived Neurotrophic FactorDrosophila melanogasterDrosophila ProteinsGenome, HumanGenome, InsectHumansInsulin ResistanceObesityReceptor, trkBSignal TransductionBrain-Derived Neurotrophic FactorDrosophila ProteinsReceptor, trkBAgeingAlzheimer’s diseaseDrosophilaInsulin resistanceMemoryNeurological disordersPhytocompoundsTRKB signalling

Identifiers

PMID34227035
OpenAlexW3167472116

What OpenQuestion holds

Textmetadata
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.