Evidence map›Paper›PMID 31043964›Full record

ArticleDementia and geriatric cognitive disorders extra

Molecular Network Analysis of the Urinary Proteome of Alzheimer's Disease Patients.

Yumi Watanabe, Yoshitoshi Hirao, Kensaku Kasuga, Takayoshi Tokutake, Yuka Semizu, Kaori Kitamura, Takeshi Ikeuchi, Kazutoshi Nakamura, Tadashi Yamamoto

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In one paragraph

Article in Dementia and geriatric cognitive disorders extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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

9 authors.

Yumi WatanabeDivision of Preventive Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Yoshitoshi HiraoBiofluid Biomarker Center, Niigata University, Niigata, Japan.
Kensaku KasugaDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.
Takayoshi TokutakeDepartment of Neurology, Brain Research Institute, Niigata University, Niigata, Japan.
Yuka SemizuDivision of Preventive Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Kaori KitamuraDivision of Preventive Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Takeshi IkeuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.
Kazutoshi NakamuraDivision of Preventive Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Tadashi YamamotoBiofluid Biomarker Center, Niigata University, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsThe identification of predictive biomarkers for Alzheimer's disease (AD) from urine would aid in screening for the disease, but information about biological and pathophysiological changes in the urine of AD patients is limited. This study aimed to explore the comprehensive profile and molecular network relations of urinary proteins in AD patients.

methodsUrine samples collected from 18 AD patients and 18 age- and sex-matched cognitively normal controls were analyzed by mass spectrometry and semiquantified with the normalized spectral index method. Bioinformatics analyses were performed on proteins which significantly increased by more than 2-fold or decreased by less than 0.5-fold compared to the control (

resultsThe levels of 109 proteins significantly differed between AD patients and controls. Among these, annotation clusters related to lysosomes, complement activation, and gluconeogenesis were significantly enriched. The molecular relation networks derived from these proteins were mainly associated with pathways of lipoprotein metabolism, heat shock protein 90 signaling, matrix metalloproteinase signaling, and redox regulation by thioredoxin.

conclusionOur findings suggest that changes in the urinary proteome of AD patients reflect systemic changes related to AD pathophysiology.

Indexed as

Alzheimer's diseaseCase-control studyLabel-free mass spectrometryProteomicsUrine

Identifiers

PMID31043964
PMCPMC6477484

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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.