Evidence map›Paper›PMID 27563694›Full record

ReviewThe review of diabetic studies : RDS2016

Understanding Genetic Heterogeneity in Type 2 Diabetes by Delineating Physiological Phenotypes: SIRT1 and its Gene Network in Impaired Insulin Secretion.

Shafat Ali, Shazia Nafis, Ponnusamy Kalaiarasan, Ekta Rai, Swarkar Sharma, Rameshwar N Bamezai

Open access · bronzeAbstract readReview
In one paragraph

Review in The review of diabetic studies : RDS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Molecular Variants inInternational journal of women's health · 2025
    Article
  4. Article
  5. Article
  6. The Regulatory Effect of SIRT1 on Extracellular Microenvironment Remodeling.International journal of biological sciences · 2021
    Review
  7. Review
  8. Review
  9. 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

6 authors at 2 institutions in 1 country.

Shafat AliNational Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Shazia NafisNational Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Ponnusamy KalaiarasanNational Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Ekta RaiHuman Genetics Research Group, Department of Biotechnology, Shri Mata Vaishno Devi University, Katra, 182320, India.
Swarkar SharmaHuman Genetics Research Group, Department of Biotechnology, Shri Mata Vaishno Devi University, Katra, 182320, India.
Rameshwar N BamezaiNational Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Jawaharlal Nehru University · INShri Mata Vaishno Devi University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a chronic metabolic disease which shows an exponential increase in all parts of the world. However, the disease is controllable by early detection and modified lifestyle. A series of factors have been associated with the pathogenesis of diabetes, and genes are considered to play a critical role. The individual risk of developing T2D is determined by an altered genetic background of the en-zymes involved in several metabolism-related biological mechanisms, including glucose homeostasis, insulin metab-olism, the glucose and ion transporters involved in glucose uptake, transcription factors, signaling intermediates of insulin signaling pathways, insulin production and secretion, pancreatic tissue development, and apoptosis. However, many candidate genes have shown heterogeneity of associations with the disease in different populations. A possible approach to resolving this complexity and under-standing genetic heterogeneity is to delineate the physiological phenotypes one by one as studying them in combination may cause discrepancies in association studies. A systems biology approach involving regulatory proteins, transcription factors, and microRNAs is one way to understand and identify key factors in complex diseases such as T2D. Our earlier studies have screened more than 100 single nucleotide polymorphisms (SNPs) belonging to more than 60 globally known T2D candidate genes in the Indian population. We observed that genes invariably involved in the activity of pancreatic β-cells provide susceptibility to type 2 diabetes (T2D). Encouraged by these results, we attempted to delineate in this review one of the commonest physiological phenotypes in T2D, namely impaired insulin secretion, as the cause of hyperglycemia. This review is also intended to explain the genetic basis of the pathophysiology of insulin secretion in the context of variations in the SIRT1 gene, a major switch that modulates insulin secretion, and a set of other genes such as HHEX, PGC-α, TCF7L2, UCP2, and ND3 which were found to be in association with T2D. The review aims to look at the genotypic and transcriptional regulatory relationships with the disease phenotype.

Indexed as

Gene Regulatory NetworksGenetic Predisposition to DiseasePhenotypeDiabetes Mellitus, Type 2GenotypeHumansInsulinInsulin ResistanceInsulin SecretionPolymorphism, Single NucleotideSirtuin 1InsulinSirtuin 1

Identifiers

PMID27563694
PMCPMC5291180
OpenAlexW2511085189

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.