Evidence map›Paper›PMID 33015738›Full record

ArticleNeuromolecular medicine2021

Low Levels of LRRK2 Gene Expression are Associated with LRRK2 SNPs and Contribute to Parkinson's Disease Progression.

Selma Yılmazer, Esin Candaş, Gençer Genç, Merve Alaylıoğlu, Büşra Şengül, Ayşegül Gündüz, Hülya Apaydın, Güneş Kızıltan, Sibel Ertan, Erdinç Dursun and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neuromolecular medicine, 2021. 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

11 authors at 3 institutions in 1 country.

Selma YılmazerDepartment of Medical Biology, Faculty of Medicine, Altinbas University, Istanbul, Turkey. drselmayilmazer@gmail.com.ORCID 0000-0002-5870-2334
Esin CandaşBrain and Neurodegenerative Disorders Research Laboratory, Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Gençer GençDepartment of Neurology, Gumussuyu Military Hospital, Istanbul, Turkey.
Merve AlaylıoğluBrain and Neurodegenerative Disorders Research Laboratory, Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Büşra ŞengülBrain and Neurodegenerative Disorders Research Laboratory, Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Ayşegül GündüzDepartment of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Hülya ApaydınDepartment of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Güneş KızıltanDepartment of Neurology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Sibel ErtanDepartment of Neurology, Faculty of Medicine, Koc University, Istanbul, Turkey.
Erdinç DursunBrain and Neurodegenerative Disorders Research Laboratory, Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Duygu Gezen-AkBrain and Neurodegenerative Disorders Research Laboratory, Department of Medical Biology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Istanbul University-Cerrahpaşa · TRAltınbaş University · TRKoç University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a chronic neurodegenerative disease that has relatively slow progression with motor symptoms. Leucine-rich repeat kinase 2 (LRRK2) gene mutations and polymorphisms are suggested to be associated with PD. In this study, we aimed to investigate the association between single-nucleotide polymorphisms (SNPs) of the LRRK2 gene, namely, rs11176013, rs10878371, rs11835105, and PD. Genotypes of 132 PD cases and 133 healthy individuals were determined by qRT-PCR. Haplotype analysis was performed. Additionally, LRRK2 mRNA expression levels were determined in 83 PD cases and 55 healthy subjects. The relationship between LRRK2 mRNA levels, the target SNPs, and clinical data was also investigated. Our results indicated that the "GG" genotype and "G" allele of rs11176013 and the "CC" genotype and "C" allele of rs10878371 were more frequent in cases. The "GCG" haplotype was significantly more frequent in cases. LRRK2 mRNA expression levels in patients were significantly lower than those in healthy individuals. The patients with the "CC" genotype for rs10878371 and the "GG" genotype for rs11176013 had decreased LRRK2 mRNA levels. We found that the rs11176013 "GG" genotype and the rs10878371 "CC" genotype were less frequently seen in cases with akinetic rigid or combined akinetic rigid and tremor-dominant initial symptoms. Consequently, our results demonstrate that the rs11176013 and rs10878371 polymorphisms are associated with PD in a Turkish cohort, and moreover, these results suggest that these polymorphisms may affect the expression of the LRRK2 gene and disease progression and thus play a role in the pathogenesis of PD.

Indexed as

Polymorphism, Single NucleotideAdultAgedAged, 80 and overAllelesCase-Control StudiesDisease ProgressionFemaleGait Disorders, NeurologicGene Expression RegulationGenotypeHaplotypesHumansHypokinesiaLeucine-Rich Repeat Serine-Threonine Protein Kinase-2MaleLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, humanNerve Tissue ProteinsRNA, MessengerLRRK2mRNA expressionNeurodegenerationParkinson’s diseaseSingle-nucleotide polymorphism

Identifiers

PMID33015738
OpenAlexW3089672175

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.