Evidence map›Paper›PMID 32457446›Full record

ArticleScientific reports2020

Substantia nigra echogenicity is associated with serum ferritin, gender and iron-related genes in Parkinson's disease.

Kai Li, Yi-Lun Ge, Chen-Chen Gu, Jin-Ru Zhang, Hong Jin, Jiao Li, Xiao-Yu Cheng, Ya-Ping Yang, Fen Wang, Ying-Chun Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

13 authors at 2 institutions in 1 country.

Kai Li *Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yi-Lun Ge *Department of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Chen-Chen GuDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jin-Ru ZhangDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Hong JinDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jiao LiDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiao-Yu ChengDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Ya-Ping YangDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Fen WangInstitute of Neuroscience, Soochow University, Suzhou, Jiangsu, China.
Ying-Chun ZhangDepartment of Ultrasound, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jing ChenDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Cheng-Jie MaoDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Chun-Feng LiuDepartment of Neurology, the Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China. liuchunfeng@suda.edu.cn.
Second Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substantia nigra (SN) hyperechogenicity is present in most Parkinson's disease (PD) cases but is occasionally absent in some. To date, age, gender, disease severity, and other factors have been reported to be associated with SN hyperechogenicity in PD. Previous studies have discovered that excess iron deposition in the SN underlies its hyperechogenicity in PD, which may also indicate the involvement of genes associated with iron metabolism in hyperechogenicity. The objective of our study is to explore the potential associations between variants in iron metabolism-associated genes and SN echogenicity in Han Chinese PD. Demographic profiles, clinical data, SN echogenicity and genotypes were obtained from 221 Han Chinese PD individuals with a sufficient bone window. Serum ferritin levels were quantified in 92 of these individuals by immunochemical assay. We then compared factors between PD individuals with SN hyperechogenicity and those with SN hypoechogenicity to identify factors that predispose to SN hyperechogenicity. Of our 221 participants, 122 (55.2%) displayed SN hyperechogenicity, and 99 (44.8%) displayed SN hypoechogenicity. Gender and serum ferritin levels were found to be associated with SN hyperechogenicity. In total, 14 genes were included in the sequencing part. After data processing, 34 common single nucleotide polymorphisms were included in our further analyses. In our data, we also found a significantly higher frequency of PANK2 rs3737084 (genotype: OR = 2.07, P = 0.013; allele: OR = 2.51, P = 0.002) in the SN hyperechogenic group and a higher frequency of PLA2G6 rs731821 (genotype: OR = 0.45, P = 0.016; allele: OR = 0.44, P = 0.011) in the SN hypoechogenic group. However, neither of the two variants was found to be correlated with serum ferritin. This study demonstrated that genetic factors, serum ferritin level, and gender may explain the interindividual variability in SN echogenicity in PD. This is an explorative study, and further replication is warranted in larger samples and different populations.

Indexed as

AdultAgedAged, 80 and overFemaleFerritinsHigh-Throughput Nucleotide SequencingHumansIronMaleMiddle AgedParkinson DiseasePolymorphism, Single NucleotideSex FactorsSubstantia NigraUltrasonography, Doppler, TranscranialFerritinsIron

Identifiers

PMID32457446
PMCPMC7250839
OpenAlexW3032499255

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.