Evidence map›Paper›PMID 35673448›Full record

ReviewJournal of diabetes and metabolic disorders2022

Metabolic syndrome and underlying genetic determinants-A systematic review.

Sanjeev Rana, Shafat Ali, Hilal Ahmad Wani, Qazi Danish Mushtaq, Swarkar Sharma, Muneeb U Rehman

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Current diabetes reviews · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. The Metabolic Syndrome, a Human Disease.International journal of molecular sciences · 2024
    Review
  19. Article
  20. 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.

Sanjeev RanaHuman Genomics Research Group, Shri Mata Vaishno Devi University (SMVDU), Katra, J and K India.
Shafat AliCytogenetics and Molecular Biology Laboratory, Centre of Research for Development, University of Kashmir, Srinagar, J and K India.
Hilal Ahmad WaniDepartment of Biochemistry, Government Degree College Sumbal, Bandipora, J and K India.
Qazi Danish MushtaqDepartment of Biochemistry, Sri Pratap College, Srinagar, J and K India.
Swarkar SharmaHuman Genomics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University (SMVDU), Katra, J and K India.
Muneeb U RehmanCollege of Clinical Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic syndrome is a cluster of heritable and related traits which has been associated with a range of pathophysiological factors including dyslipidaemia, abdominal obesity, increased fasting plasma glucose (FPG) and hypertension. The documented genetic basis of the metabolic syndrome include several chromosomal positions, numerous candidate gene-associated polymorphisms, different genetic variants, which are linked to the syndrome either as a trait or entities mainly linked to metabolic process. Additionally, the latest findings related to the contribution of epigenetic mechanisms, microRNAs, sporadic variants, non-coding RNAs, and assessing the role of genes in molecular systems has enhanced our understanding of the syndrome. Considerable work has been done to understand the underlying disease mechanisms by elucidating its genetic etiology. Nonetheless, a common shared genetic cause has not been established to clarify the coexistence of their components and further investigation is required. While mostly neglected and rarely known, hereditary predisposition needs to be studied, including with the current defective phenotypic condition descriptions. Metabolic syndrome is a multi-faceted characteristic with abundant properties and the condition can arise from interactions between environmental variables such as physical inactivity, caloric obesity and genetic susceptibility. Although there is support for genetic determinants from family and twin research, there is still no recognised genomic DNA marker for genetic association and linkages with quite a long way off potential for clinical application. In the present review efforts have been made to through light on the various genetic determinants with large effects that underlie with the association of these traits to this syndrome. The heterogeneity and multifactorial heritability of MetS, however, has been a challenge towards understanding the factors underlying the association of these traits.

Indexed as

DeterminantsFamilyGene polymorphismLinkageMetabolic syndromePhenotypePredispositionTwin

Identifiers

PMID35673448
PMCPMC9167205

What Socratic 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 Socratic graph.