Evidence map›Paper›PMID 30255758›Full record

ArticleCurrent neuropharmacology2019

Omics-based Biomarkers for the Early Alzheimer Disease Diagnosis and Reliable Therapeutic Targets Development.

Carmen Peña-Bautista, Miguel Baquero, Máximo Vento, Consuelo Cháfer-Pericás

Open access · bronzeAbstract read
In one paragraph

Article in Current neuropharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Risk of Alzheimer's disease in Down syndrome: Insights gained by multi-omics.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  6. Article
  7. Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratification.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Omics-based biomarkers discovery for Alzheimer's disease.Cellular and molecular life sciences : CMLS · 2022
    Review
  14. Climate change and cetacean health: impacts and future directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  15. A metabolite panel that differentiates Alzheimer's disease from other dementia types.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Carmen Peña-BautistaNeonatal Research Unit, Health Research Institute La Fe, Valencia, Spain.
Miguel BaqueroNeurology Unit, University and Polytechnic Hospital La Fe, Valencia, Spain.
Máximo VentoNeonatal Research Unit, Health Research Institute La Fe, Valencia, Spain.
Consuelo Cháfer-PericásNeonatal Research Unit, Health Research Institute La Fe, Valencia, Spain.
Leitat Technological Center · ESHospital Universitari i Politècnic La Fe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD), the most common cause of dementia in adulthood, has great medical, social, and economic impact worldwide. Available treatments result in symptomatic relief, and most of them are indicated from the early stages of the disease. Therefore, there is an increasing body of research developing accurate and early diagnoses, as well as diseasemodifying therapies.

objectiveAdvancing the knowledge of AD physiopathological mechanisms, improving early diagnosis and developing effective treatments from omics-based biomarkers.

methodsStudies using omics technologies to detect early AD, were reviewed with a particular focus on the metabolites/lipids, micro-RNAs and proteins, which are identified as potential biomarkers in non-invasive samples.

resultsThis review summarizes recent research on metabolomics/lipidomics, epigenomics and proteomics, applied to early AD detection. Main research lines are the study of metabolites from pathways, such as lipid, amino acid and neurotransmitter metabolisms, cholesterol biosynthesis, and Krebs and urea cycles. In addition, some microRNAs and proteins (microglobulins, interleukins), related to a common network with amyloid precursor protein and tau, have been also identified as potential biomarkers. Nevertheless, the reproducibility of results among studies is not good enough and a standard methodological approach is needed in order to obtain accurate information.

conclusionThe assessment of metabolomic/lipidomic, epigenomic and proteomic changes associated with AD to identify early biomarkers in non-invasive samples from well-defined participants groups will potentially allow the advancement in the early diagnosis and improvement of therapeutic interventions.

Indexed as

Alzheimer DiseaseBiomarkersEarly DiagnosisEpigenomicsHumansLipidomicsMetabolomicsProteomicsBiomarkersAlzheimer diseasebiomarkersepigenomicslipidomicsMetabolomicsmild cognitive impairmentproteomics.

Identifiers

PMID30255758
PMCPMC6712290
OpenAlexW2892618895

What OpenQuestion holds

Textmetadata
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.