Evidence map›Paper›PMID 34843548›Full record

ArticlePloS one2021

Amyotrophic lateral sclerosis: Correlations between fluid biomarkers of NfL, TDP-43, and tau, and clinical characteristics.

Yuta Kojima, Takashi Kasai, Yu-Ichi Noto, Takuma Ohmichi, Harutsugu Tatebe, Takamasa Kitaoji, Yukiko Tsuji, Fukiko Kitani-Morii, Makiko Shinomoto, David Allsop and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  13. All the Tau We Cannot See.Annual review of medicine · 2023
    Review
  14. Article
  15. Review
  16. Article
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  18. Neurofilaments contribution in clinic: state of the art.Frontiers in aging neuroscience · 2022
    Review
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 3 institutions in 2 countries.

Yuta KojimaDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takashi KasaiDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID 0000-0002-6424-0738
Yu-Ichi NotoDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takuma OhmichiDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Harutsugu TatebeDepartment of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.
Takamasa KitaojiDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yukiko TsujiDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Fukiko Kitani-MoriiDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID 0000-0002-7959-4758
Makiko ShinomotoDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
David AllsopFaculty of Health and Medicine, Division of Biomedical and Life Sciences, Lancaster University, Lancaster, United Kingdom.
Satoshi TeramukaiDepartment of Biostatistics, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Toshiki MizunoDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takahiko TokudaDepartment of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.
Kyoto Prefectural University of Medicine · JPNational Institutes for Quantum Science and Technology · JPLancaster University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe previously reported the diagnostic and prognostic performance of neurofilament light chain (NfL), TAR DNA-binding protein 43 (TDP-43), and total tau (t-tau) in cerebrospinal fluid (CSF) and plasma as amyotrophic lateral sclerosis (ALS) biomarkers. The present study aimed to elucidate associations between clinical characteristics and the markers as well as mutual associations of the markers in ALS patients using the same dataset.

methodsNfL, TDP-43, and t-tau levels in CSF and plasma in 75 ALS patients were analyzed. The associations between those markers and clinical details were investigated by uni- and multivariate analyses. Correlations between the markers were analyzed univariately.

resultsIn multivariate analysis of CSF proteins, the disease progression rate (DPR) was positively correlated with NfL (β: 0.51, p = 0.007) and t-tau (β: 0.37, p = 0.03). Plasma NfL was correlated with age (β: 0.53, p = 0.005) and diagnostic grade (β: -0.42, p = 0.02) in multivariate analysis. Plasma TDP-43 was correlated negatively with split hand index (β: -0.48, p = 0.04) and positively with % vital capacity (β: 0.64, p = 0.03) in multivariate analysis. Regarding mutual biomarker analysis, a negative correlation between CSF-NfL and TDP-43 was identified (r: -0.36, p = 0.002).

conclusionsElevated NfL and t-tau levels in CSF may be biomarkers to predict rapid DPR from onset to sample collection. The negative relationship between CSF NfL and TDP-43 suggests that elevation of CSF TDP-43 in ALS is not a simple consequence of its release into CSF during neurodegeneration. The negative correlation between plasma TDP-43 and split hand index may support the pathophysiological association between plasma TDP-43 and ALS.

Indexed as

AgedAmyotrophic Lateral SclerosisBiomarkersDisease ProgressionDNA-Binding ProteinsFemaleHumansMaleMiddle AgedMotor NeuronsMultivariate AnalysisNeurofilament Proteinstau ProteinsVital CapacityBiomarkersDNA-Binding ProteinsMAPT protein, humanneurofilament protein LNeurofilament ProteinsTARDBP protein, humantau Proteins

Identifiers

PMID34843548
PMCPMC8629269
OpenAlexW3217526952

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.