Evidence map›Paper›PMID 31660472›Full record

ArticleACS omega2019

Three Novel Mutations I65S, R66S, and G86R Divulge Significant Conformational Variations in the PTB Domain of the IRS1 Gene.

Praveen Chakravarthi Veeraragavulu, Nanda Kumar Yellapu, Sireesha Yerrathota, Pradeepkiran Jangampalli Adi, Bhaskar Matcha

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2019. 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
0.1field-weighted citation impact, top 55% 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, 3 citations in OpenAlex.

  1. Insulin signaling and its application.Frontiers in endocrinology · 2023
    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

5 authors at 2 institutions in 2 countries.

Praveen Chakravarthi VeeraragavuluDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati 517502, India.
Nanda Kumar YellapuDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati 517502, India.
Sireesha YerrathotaDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati 517502, India.
Pradeepkiran Jangampalli AdiDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati 517502, India.
Bhaskar MatchaDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati 517502, India.
Sri Venkateswara University · INTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin receptor substrate 1 (IRS1) is one of the major substrates for the IR, and their interaction mediates several downstream insulin signaling pathways. In this study, we have identified three novel mutations in the IRS1 gene of type 2 diabetic (T2D) patients, which reflected in the amino acid changes as I65S, R66S, and G86R in the phosphotyrosine binding domain of the IRS1 protein. The impact of these mutations on the structure and function of the IRS1 protein was evaluated through molecular modeling studies, and distinct conformational fluctuations were recorded. The variable binding affinities and positional displacement of these mutant models were observed in the ligand-binding cleft of IR. The mutant IRS1 models triggered conformational changes in the L1 domain of IR upon their binding. Such structural variations in IRS1 and IR structures due to mutations resulted in variable molecular interactions that could lead to altered insulin transduction, followed by insulin resistance and T2D.

Identifiers

PMID31660472
PMCPMC6814177
OpenAlexW2912309742

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.