Evidence map›Paper›PMID 29070909›Full record

ArticleScientific reports2017

A blood-based biomarker panel indicates IL-10 and IL-12/23p40 are jointly associated as predictors of β-amyloid load in an AD cohort.

Steve Pedrini, Veer B Gupta, Eugene Hone, James Doecke, Sid O'Bryant, Ian James, Ashley I Bush, Christopher C Rowe, Victor L Villemagne, David Ames and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  4. Brain interleukins and Alzheimer's disease.Metabolic brain disease · 2025
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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 12 institutions in 2 countries.

Steve PedriniSchool of Medical Sciences, Edith Cowan University, Joondalup, WA 6027, Australia.
Veer B GuptaSchool of Medical Sciences, Edith Cowan University, Joondalup, WA 6027, Australia.
Eugene HoneSchool of Medical Sciences, Edith Cowan University, Joondalup, WA 6027, Australia.
James DoeckeCSIRO Digital Productivity Flagship, Brisbane, QLD 4029, Australia.ORCID 0000-0003-2863-0293
Sid O'BryantUniversity of North Texas Health Science Center, Fort Worth, 76107, Texas, USA.
Ian JamesInstitute for Immunology & Infectious Diseases, Murdoch University, Murdoch, WA 6150, Australia.
Ashley I BushCo-operative Research Centre for Mental Health, Carlton, VIC 3053, Australia.ORCID 0000-0001-8259-9069
Christopher C RoweDepartment of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC 3084, Australia.
Victor L VillemagneDepartment of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC 3084, Australia.
David AmesNational Ageing Research Institute, Parkville, VIC 3052, Australia.
Colin L MastersThe Florey Institute, The University of Melbourne, Parkville, VIC 3052, Australia.
Ralph N MartinsSchool of Medical Sciences, Edith Cowan University, Joondalup, WA 6027, Australia. ralph.n.martins@gmail.com.
AIBL Research Group
The University of Melbourne · AUCommonwealth Scientific and Industrial Research Organisation · AUEdith Cowan University · AUAustin Health · AUNational Ageing Research Institute · AUThe University of Western Australia · AUDementia Australia · AUSt Vincent's Hospital Melbourne · AUCooperative Research Centre for Mental Health · AUMacquarie University · AUMurdoch University · AUUniversity of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's Disease (AD) is the most common form of dementia, characterised by extracellular amyloid deposition as plaques and intracellular neurofibrillary tangles of tau protein. As no current clinical test can diagnose individuals at risk of developing AD, the aim of this project is to evaluate a blood-based biomarker panel to identify individuals who carry this risk. We analysed the levels of 22 biomarkers in clinically classified healthy controls (HC), mild cognitive impairment (MCI) and Alzheimer's participants from the well characterised Australian Imaging, Biomarker and Lifestyle (AIBL) study of aging. High levels of IL-10 and IL-12/23p40 were significantly associated with amyloid deposition in HC, suggesting that these two biomarkers might be used to detect at risk individuals. Additionally, other biomarkers (Eotaxin-3, Leptin, PYY) exhibited altered levels in AD participants possessing the APOE ε4 allele. This suggests that the physiology of some potential biomarkers may be altered in AD due to the APOE ε4 allele, a major risk factor for AD. Taken together, these data highlight several potential biomarkers that can be used in a blood-based panel to allow earlier identification of individuals at risk of developing AD and/or early stage AD for which current therapies may be more beneficial.

Indexed as

AgedAlzheimer DiseaseBiomarkersCase-Control StudiesCross-Sectional StudiesFemaleHumansInterleukin-10Interleukin-12 Subunit p40Longitudinal StudiesMalePlaque, AmyloidPrognosisBiomarkersIL10 protein, humanInterleukin-10Interleukin-12 Subunit p40

Identifiers

PMID29070909
PMCPMC5656630
OpenAlexW2765322686

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.