Evidence map›Paper›PMID 39291752›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals.

Dennis M Krüger, Tonatiuh Pena-Centeno, Shiwei Liu, Tamina Park, Lalit Kaurani, Ranjit Pradhan, Yen-Ning Huang, Shannon L Risacher, Susanne Burkhardt, Anna-Lena Schütz and 15 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
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  11. Article
  12. Review
  13. Article
  14. Circulating Biomarkers for the Early Diagnosis of Alzheimer's Disease.International journal of molecular sciences · 2025
    Review
  15. Article
  16. Article
  17. Circulating small RNAs shed new light on dementia risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  18. Review
  19. Article
  20. Plasma miRNAs across the Alzheimer's disease continuum: Relationship to central biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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

25 authors.

Dennis M KrügerDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Tonatiuh Pena-CentenoDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Shiwei LiuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Tamina ParkCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Lalit KauraniDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Ranjit PradhanDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Yen-Ning HuangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Shannon L RisacherCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Susanne BurkhardtDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Anna-Lena SchützResearch Group for Genome Dynamics in Brain Diseases, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Yang WanPerelman School of Medicine, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Leslie M ShawPerelman School of Medicine, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alexander S BrodskyDepartment of Pathology and Laboratory Medicine, Rhode Island Hospital, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Anita L DeStefanoDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Honghuang LinDepartment of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA.
Robert SchroederDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Andre KrunicDepartment of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Nina HempelDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Farahnaz SananbenesiResearch Group for Genome Dynamics in Brain Diseases, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Jan Krzysztof BlusztajnDepartment of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Ivana DelalleDepartment of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-1873-3064
Kwangsik NhoDepartment of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Andre FischerDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Duygu Tosun-Turgut · 2016 to 2026
$226.7M
TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer · 2020 to 2026
$42.4M
Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse CohortsU19AG074879 · NIA · MAYO CLINIC JACKSONVILLE · PI Minerva Maria Carrasquillo, NILUFER ERTEKIN-TANER · 2023 to 2026
$42.0M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Validating novel sleep sensors and devices in older adults with Alzheimer's diseaseP30AG073107 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Benjamin M. Marlin · 2021 to 2026
$32.0M
Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
RL5: Research Education CoreP30AG072978 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Ann C. McKee · 2021 to 2026
$25.6M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems BiologyU01AG072177 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI LEE, DONG YOUNG, NHO, KWANGSIK TIMOTHY · 2021 to 2025
$11.2M
Therapeutic target discovery in ADSP data via comprehensive whole-genome analysis incorporating ethnic diversity and systems approachesU01AG058589 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOERWINKLE, ERIC A., DE JAGER, PHILIP L · 2018 to 2022
$11.1M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Alzheimer's Association AARG-NTF-20-643020American Heart Association 20SFRN35460034DFG (Deutsche Forschungsgemeinschaft) Priority Program 1738DFG (Deutsche Forschungsgemeinschaft) Priority Program GRK2824DFG (Deutsche Forschungsgemeinschaft) Priority Program SFB1286EU Joint Programme- Neurodegenerative Diseases (JPND) EPI-3EGerman Federal Ministry of Science and Education EPINEURODEVOGermany's Excellence Strategy EXC 2067/1 390729940GoBIO Project miRassay 16LW0055NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG072976NIA NIH HHS P30 AG072978NIA NIH HHS P30 AG073107NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG057739NIA NIH HHS R01 AG068193NIA NIH HHS R01 AG080670NIA NIH HHS R01 AG084624NIA NIH HHS RF1 AG057768NIA NIH HHS RF1 AG072654NIA NIH HHS RF1 AG078299NIA NIH HHS T32 AG071444NIA NIH HHS U01 AG058589NIA NIH HHS U01 AG068057NIA NIH HHS U01 AG068221NIA NIH HHS U01 AG072177NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG068753NIA NIH HHS U19 AG074879NIDDK NIH HHS R01 DK122503NIH HHS ADNI4NIH HHS AG067188NIH HHS P30AG010133NIH HHS P30AG013846NIH HHS P30AG072976NIH HHS P30AG072978NIH HHS P30AG073107NIH HHS P30PENNADRCNIH HHS R01AG019771NIH HHS R01AG057739NIH HHS R01AG068193NIH HHS R01AG080670NIH HHS R01DK122503NIH HHS R01LM013463NIH HHS RF1AG057768NIH HHS RF1AG072654NIH HHS RF1AG078299NIH HHS T32AG071444NIH HHS U01AG058589NIH HHS U01AG068057NIH HHS U01AG068221-01A1NIH HHS U01AG072177NIH HHS U19AG024904NIH HHS U19AG068753NIH HHS U19AG074879NLM NIH HHS R01 LM013463
6 · The paper itself

Abstract

introductionMicroRNAs are short non-coding RNAs that control proteostasis at the systems level and are emerging as potential prognostic and diagnostic biomarkers for Alzheimer's disease (AD).

methodsWe performed small RNA sequencing on plasma samples from 847 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants.

resultsWe identified microRNA signatures that correlate with AD diagnoses and help predict the conversion from mild cognitive impairment (MCI) to AD. DISCUSSION: Our data demonstrate that plasma microRNA signatures can be used to not only diagnose MCI, but also, critically, predict the conversion from MCI to AD. Moreover, combined with neuropsychological testing, plasma microRNAome evaluation helps predict MCI to AD conversion. These findings are of considerable public interest because they provide a path toward reducing indiscriminate utilization of costly and invasive testing by defining the at-risk segment of the aging population. HIGHLIGHTS: We provide the first analysis of the plasma microRNAome for the ADNI study. The levels of several microRNAs can be used as biomarkers for the prediction of conversion from MCI to AD. Adding the evaluation of plasma microRNA levels to neuropsychological testing in a clinical setting increases the accuracy of MCI to AD conversion prediction.

Indexed as

Alzheimer DiseaseBiomarkersCognitive DysfunctionMicroRNAsAgedAged, 80 and overDisease ProgressionFemaleHumansMaleNeuroimagingNeuropsychological TestsBiomarkersMicroRNAsAlzheimer's diseaseblood biomarkercognitive declinemicroRNAmild cognitive impairmentplasmasmall non‐coding RNA

Identifiers

PMID39291752
PMCPMC11567822

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.