Evidence map›Paper›PMID 29986445›Full record

ArticleBiomolecules2018

Genetics of Lipodystrophy: Can It Help in Understanding the Pathophysiology of Metabolic Syndrome?

Sandeep Kumar Mathur, Pradeep Tiwari, Sonal Gupta, Nidhi Gupta, Surendra Nimesh, Krishna Mohan Medicherla, Prashanth Suravajhala

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2018. 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 52% 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. Article
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

7 authors at 4 institutions in 1 country.

Sandeep Kumar MathurSawai Man Singh Medical College and Hospital, JLN Marg, Jaipur 302004, India. drsandeepmathur@rediffmail.com.
Pradeep TiwariDepartment of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Statue Circle, Jaipur 302001, India. tiwari.pradeep30@gmail.com.
Sonal GuptaDepartment of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Statue Circle, Jaipur 302001, India. gupta.sonal1990@gmail.com.ORCID 0000-0003-0379-1170
Nidhi GuptaDepartment of Biotechnology, IIS University, Mansarovar, Jaipur 302020, India. nidhinimesh@gmail.com.ORCID 0000-0002-1086-1336
Surendra NimeshDepartment of Biotechnology, Central University of Rajasthan, Bandarsindri, N.H. 8, Kishangarh 305801, India. surendranimesh@gmail.com.
Krishna Mohan MedicherlaDepartment of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Statue Circle, Jaipur 302001, India. kmohan@bisr.res.in.ORCID 0000-0001-7099-7721
Prashanth SuravajhalaDepartment of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Statue Circle, Jaipur 302001, India. prash@bisr.res.in.ORCID 0000-0002-8535-278X
Birla Institute of Scientific Research · INCentral University of Rajasthan · INInspiration Innovation Synergy University · INSMS Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding phenotypes and their genetic determinants for metabolic syndrome (MetS) has been quite challenging. With the advent of systems genomic approaches, there is a need to decipher methods for identification and evaluating the functional role of phenotypic traits associated with complex diseases, such as MetS. The monogenic syndromes of lipodystrophy are well understood, but the molecular pathophysiology of insulin resistance (IR) underpinning the obesity, diabetes mellitus, and dyslipidemia is not well deciphered. In this commentary, we argue the role of pathophysiology of MetS, and its effects into possible understanding of genetic determinants associated with lipodystrophy-mediated diabetes mellitus.

Indexed as

Gene Regulatory NetworksGenome-Wide Association StudyHumansLipodystrophyMetabolic SyndromeMutationPhenotypefunctional genomicsinsulin resistancelipodystrophymetabolic syndromeobesityphenotypic traitsregulationsystems biologytype-2 diabetes mellitus

Identifiers

PMID29986445
PMCPMC6163883
OpenAlexW2820352149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.