Evidence map›Paper›PMID 28208577›Full record

ArticleInternational journal of molecular sciences2017

Single-Nucleotide Polymorphism of PPARγ, a Protein at the Crossroads of Physiological and Pathological Processes.

Maria Petrosino, Laura Lori, Alessandra Pasquo, Clorinda Lori, Valerio Consalvi, Velia Minicozzi, Silvia Morante, Antonio Laghezza, Alessandra Giorgi, Davide Capelli and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Associations betweenAsian journal of urology · 2022
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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

11 authors at 5 institutions in 1 country.

Maria PetrosinoDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. maria.petrosino@uniromad1.it.
Laura LoriDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. laura.lori@uniroma1.it.
Alessandra PasquoSSPT-BIOAG-BIOTEC ENEA Casaccia ENEA, 00123 Rome, Italy. alessandra.pasquo@enea.it.
Clorinda LoriDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. clorinda.lori@uniroma1.it.
Valerio ConsalviDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. valerio.consalvi@uniroma1.it.
Velia MinicozziDepartment of Physics, University of Rome Tor Vergata and INFN, Via della Ricerca Scientifica 1, 00133 Roma, Italy. Velia.Minicozzi@roma2.infn.it.
Silvia MoranteDepartment of Physics, University of Rome Tor Vergata and INFN, Via della Ricerca Scientifica 1, 00133 Roma, Italy. silvia.morante@roma2.infn.it.
Antonio LaghezzaDipartimento di Farmacia-Scienze del Farmaco, University of Bari, 70126 Bari, Italy. antonio.laghezza@uniba.it.
Alessandra GiorgiDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. alessandra.giorgi@uniroma1.it.
Davide CapelliIstituto di Cristallografia, Consiglio Nazionale delle Ricerche, Via Salaria Km. 29, 300, Monterotondo Stazione, 00015 Roma, Italy. davide.capelli80@gmail.com.
Roberta ChiaraluceDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro, 5, 00185 Rome, Italy. roberta.chiaraluce@uniroma1.it.
Sapienza University of Rome · ITUniversity of Rome Tor Vergata · ITInstitute of Crystallography · ITNational Agency for New Technologies, Energy and Sustainable Economic Development · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome polymorphisms are responsible for phenotypic differences between humans and for individual susceptibility to genetic diseases and therapeutic responses. Non-synonymous single-nucleotide polymorphisms (nsSNPs) lead to protein variants with a change in the amino acid sequence that may affect the structure and/or function of the protein and may be utilized as efficient structural and functional markers of association to complex diseases. This study is focused on nsSNP variants of the ligand binding domain of PPARγ a nuclear receptor in the superfamily of ligand inducible transcription factors that play an important role in regulating lipid metabolism and in several processes ranging from cellular differentiation and development to carcinogenesis. Here we selected nine nsSNPs variants of the PPARγ ligand binding domain, V290M, R357A, R397C, F360L, P467L, Q286P, R288H, E324K, and E460K, expressed in cancer tissues and/or associated with partial lipodystrophy and insulin resistance. The effects of a single amino acid change on the thermodynamic stability of PPARγ, its spectral properties, and molecular dynamics have been investigated. The nsSNPs PPARγ variants show alteration of dynamics and tertiary contacts that impair the correct reciprocal positioning of helices 3 and 12, crucially important for PPARγ functioning.

Indexed as

Polymorphism, Single NucleotideAmino Acid SequenceAmino Acid SubstitutionBinding SitesCircular DichroismHumansLigandsMolecular Dynamics SimulationPPAR gammaProtein BindingProtein ConformationProtein Interaction Domains and MotifsProtein UnfoldingStructure-Activity RelationshipThermodynamicsTranscription, GeneticLigandsPPAR gammaUreamolecular dynamicsPPARγprotein stabilitysingle-nucleotide polymorphism

Identifiers

PMID28208577
PMCPMC5343896
OpenAlexW2587436893

What OpenQuestion holds

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LicenceCC BY
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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.