Evidence map›Paper›PMID 38606661›Full record

ArticlePsychiatry and clinical neurosciences2024

Plasma biomarkers for predicting the development of dementia in a community-dwelling older Japanese population.

Tomoyuki Ohara, Harutsugu Tatebe, Jun Hata, Takanori Honda, Mao Shibata, Sayo Matsuura, Tatsuya Mikami, Tetsuya Maeda, Kenjiro Ono, Masaru Mimura and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  3. A novelJournal of Alzheimer's disease reports
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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

16 authors at 9 institutions in 1 country.

Tomoyuki OharaDepartment of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-7426-4290
Harutsugu TatebeDepartment of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan.
Jun HataDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takanori HondaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Mao ShibataDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Sayo MatsuuraDepartment of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan.
Tatsuya MikamiDepartment of Preemptive Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Tetsuya MaedaDivision of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan.
Kenjiro OnoDepartment of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3874-5273
Kenji NakashimaNational Hospital Organization, Matsue Medical Center, Shimane, Japan.
Jun-Ichi IgaDepartment of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan.
Minoru TakebayashiFaculty of Life Sciences, Department of Neuropsychiatry, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0001-9962-8444
Takahiko TokudaDepartment of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
JPSC‐AD (Japan Prospective Studies Collaboration for Aging and Dementia) study group
Kyushu University · JPNational Institutes for Quantum Science and Technology · JPEhime University · JPHirosaki University · JPIwate Medical University · JPKanazawa University · JPKeio University · JPKumamoto University · JPNational Hospital Organization · JP

Funding

Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan JPMH23FA1006Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan JPMH23FA1022Japan Agency for Medical Research and Development JP21dk0207055Japan Agency for Medical Research and Development JP22dk0207053Japan Agency for Medical Research and Development JP23km0405209JST Grant JPMJPF2210Ministry of Education, Culture, Sports, Science and Technology of Japan JP21H03200Ministry of Education, Culture, Sports, Science and Technology of Japan JP21K07522Ministry of Education, Culture, Sports, Science and Technology of Japan JP21K10448Ministry of Education, Culture, Sports, Science and Technology of Japan JP21K11725Ministry of Education, Culture, Sports, Science and Technology of Japan JP22K07421Ministry of Education, Culture, Sports, Science and Technology of Japan JP22K17396Ministry of Education, Culture, Sports, Science and Technology of Japan JP23K06787Ministry of Education, Culture, Sports, Science and Technology of Japan JP23K09060Ministry of Education, Culture, Sports, Science and Technology of Japan JP23K09692Ministry of Education, Culture, Sports, Science and Technology of Japan JP23K09717Ministry of Education, Culture, Sports, Science and Technology of Japan JP23K16330
6 · The paper itself

Abstract

aimTo assess the association between plasma amyloid β (Aβ) 42/40, phosphorylated tau (p-τ)181, glial fibrillary acidic protein (GFAP), or neurofilament light chain (NfL) and the risk of dementia and to determine whether these plasma biomarkers could improve the ability to predict incident dementia in a general older population.

methodsA total of 1346 Japanese community-dwelling individuals aged ≥65 years without dementia were followed prospectively for 5.0 years. Plasma biomarkers were quantified using a Simoa HD-X analyzer. A Cox proportional hazards model was used to estimate the hazard ratios of each plasma biomarker level for the risk of dementia.

resultsDuring the follow-up, 151 participants developed dementia, of whom 108 had Alzheimer disease (AD) and 43 non-Alzheimer dementia (non-AD). Lower plasma Aβ42/40 levels and higher plasma p-τ181 levels were significantly associated with developing AD but not non-AD, whereas significant associations were observed between higher plasma levels of GFAP and NfL and risk of both AD and non-AD (all P for trend <0.05). In addition, adding these four plasma biomarkers into a model consisting of the total score of the dementia risk model significantly improved the predictive ability for incident dementia.

conclusionOur findings suggest that plasma Aβ42/40 and p-τ181 are specific markers of AD, and plasma GFAP and NfL are potential biomarkers for all-cause dementia in the general Japanese older population. In addition, the measurement of these plasma biomarkers may be a useful and relatively low-invasive procedure for identifying individuals at high risk for developing dementia in clinical practice.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersDementiaGlial Fibrillary Acidic ProteinIndependent LivingNeurofilament ProteinsPeptide Fragmentstau ProteinsAgedAged, 80 and overEast Asian PeopleFemaleFollow-Up StudiesHumansJapanAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)BiomarkersGFAP protein, humanGlial Fibrillary Acidic ProteinMAPT protein, humanneurofilament protein LNeurofilament ProteinsPeptide Fragmentstau ProteinsAlzheimer diseasedementiaplasma biomarkerpredictionprospective study

Identifiers

PMID38606661
PMCPMC11488610
OpenAlexW4394762847

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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.