Evidence map›Paper›PMID 41021023›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2026

Reduced cerebrospinal fluid taurine is associated with nigrostriatal dopaminergic deficits in drug-naïve Parkinson's disease.

Masahiro Mimori, Tadashi Umehara, Hiroki Takatsu, Motohiro Okumura, Marina Masui, Hiroyuki Kida, Masakazu Ozawa, Haruhiko Motegi, Asako Onda, Hiromasa Matsuno and 7 more

Abstract read
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In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Masahiro MimoriDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan. mmimori6170@gmail.com.ORCID http://orcid.org/0000-0002-3400-585X
Tadashi UmeharaDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan. tumety@jikei.ac.jp.
Hiroki TakatsuDepartment of Neurology, Katsushika Medical Center, The Jikei University School of Medicine, Tokyo, Japan.
Motohiro OkumuraDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Marina MasuiDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Hiroyuki KidaDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Masakazu OzawaDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Haruhiko MotegiDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Asako OndaDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Hiromasa MatsunoDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Teppei KomatsuDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Kenichi SakutaDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Kenichiro SakaiDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Shusaku OmotoDepartment of Neurology, Katsushika Medical Center, The Jikei University School of Medicine, Tokyo, Japan.
Hidetaka MitsumuraDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Hidetomo MurakamiDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.
Yasuyuki IguchiDepartment of Neurology, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8471, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between plasma or cerebrospinal fluid (CSF) amino acid levels and the pathophysiology of Parkinson's disease (PD) remains unclear. We aimed to examine the association of plasma and CSF amino acid levels with the nigrostriatal dopaminergic neurons and the clinical symptoms of newly diagnosed drug-naïve patients with PD. This was a cross-sectional study using the Jikei University PD registry. A total of 45 amino acids were measured in both plasma and CSF, and their associations with key clinical parameters were investigated. Multiple linear regression analyses were conducted to evaluate whether amino acids served as major explanatory variables for clinical parameters in PD. Forty-five drug-naïve patients were enrolled. The mean age was 68.6 ± 9.6, and disease duration was 2.5 years (± 2.1). MDS-UPDRS Part III score averaged 28.1 (± 13.3). Among the measured plasma and CSF amino acids, only CSF taurine levels were identified as independent factors for SBR, MDS-UPDRS Part II, and Part III scores in multivariate analysis (β = 0.39 [95% CI 0.13 to 0.65, p = 0.005], -0.46 [95% CI -0.76 to -0.15, p = 0.004], -0.39 [95% CI -0.73 to -0.05, p = 0.02], respectively). Higher CSF taurine levels were associated with more preserved SBR on

Indexed as

Corpus StriatumDopaminergic NeuronsParkinson DiseaseSubstantia NigraTaurineAgedCross-Sectional StudiesDopamineFemaleHumansMaleMiddle AgedDopamineTaurineCerebrospinal fluid amino acidsDopaminergic degenerationParkinson’s diseasePlasma amino acidsTaurine levels

Identifiers

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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.