Evidence map›Paper›PMID 38089583›Full record

ArticleiScience2023

Cell-free RNA signatures predict Alzheimer's disease.

Alejandro Cisterna-García, Aleksandra Beric, Muhammad Ali, Jose Adrian Pardo, Hsiang-Han Chen, Maria Victoria Fernandez, Joanne Norton, Jen Gentsch, Kristy Bergmann, John Budde and 5 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Detection of Brain-Derived Cell-Free DNA in Plasma.Diagnostics (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Article
  9. 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

15 authors.

Alejandro Cisterna-GarcíaDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Aleksandra BericDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Muhammad AliDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Jose Adrian PardoDepartamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain.
Hsiang-Han ChenDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Maria Victoria FernandezDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Joanne NortonDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Jen GentschDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Kristy BergmannDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
John BuddeDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Joel S PerlmutterDepartment of Neurology, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
John C MorrisThe Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University in Saint Louis, Saint Louis, MO, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.
Juan A BotiaDepartamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain.
Laura IbanezDepartment of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, MO, USA.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Dissecting the Genomic Etiology of non-Mendelian Early-Onset Alzheimer Disease and Related PhenotypesR01AG064614 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BEECHAM, GARY WAYNE, CRUCHAGA, CARLOS · 2019 to 2023
$11.5M
INVESTIGATIONS OF DEMENTIA IN PARKINSON DISEASER01NS075321 · NINDS · WASHINGTON UNIVERSITY · PI CAMPBELL, MEGHAN C, PERLMUTTER, JOEL SYNES · 2011 to 2021
$8.2M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
Identifying Rare Variants that Increase Risk for Alzheimer's DiseaseRF1AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2019 to 2019
$3.6M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$3.5M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
Investigations of Dementia in Parkinson DiseaseRF1NS075321 · NINDS · WASHINGTON UNIVERSITY · PI CAMPBELL, MEGHAN C, PERLMUTTER, JOEL SYNES · 2023 to 2023
$2.3M
Multimodal Characterization of the Role of Circular RNAs in Alzheimer's DiseaseRF1AG071706 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2022 to 2022
$2.3M
NIA NIH HHS K99 AG062723NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R00 AG062723NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG064614NIA NIH HHS RF1 AG044546NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG071706NIA NIH HHS U01 AG058922NINDS NIH HHS R01 NS075321NINDS NIH HHS RF1 NS075321
6 · The paper itself

Abstract

There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.

Indexed as

BiochemistryClinical findingDiseaseMolecular biology

Identifiers

PMID38089583
PMCPMC10711471

What OpenQuestion holds

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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.