Evidence map›Paper›PMID 40080233›Full record

ReviewJournal of molecular neuroscience : MN2025

The Potential of cfDNA as Biomarker: Opportunities and Challenges for Neurodegenerative Diseases.

Şeyma Aydın, Selçuk Özdemir, Ahmet Adıgüzel

Abstract readReview
In one paragraph

Review in Journal of molecular neuroscience : MN, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
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  7. 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

3 authors.

Şeyma AydınDepartment of Genetics, Faculty of Veterinary Medicine, Atatürk University, Erzurum, Turkey.ORCID http://orcid.org/0009-0009-5640-3363
Selçuk ÖzdemirDepartment of Genetics, Faculty of Veterinary Medicine, Atatürk University, Erzurum, Turkey. selcuk.ozdemir@atauni.edu.tr.ORCID http://orcid.org/0000-0001-7539-0523
Ahmet AdıgüzelDepartment of Molecular Biology and Genetics, Faculty of Science, Atatürk University, Erzurum, Turkey. adiguzel@atauni.edu.tr.ORCID http://orcid.org/0000-0001-8848-6647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis (MS), and amyotrophic lateral sclerosis (ALS), are characterized by the progressive and gradual degeneration of neurons. The prevalence and rates of these disorders rise significantly with age. As life spans continue to increase in many countries, the number of cases is expected to grow in the foreseeable future. Early and precise diagnosis, along with appropriate surveillance, continues to pose a challenge. The high heterogeneity of neurodegenerative diseases calls for more accurate and definitive biomarkers to improve clinical therapy. Cell-free DNA (cfDNA), including fragmented DNA released into bodily fluids via apoptosis, necrosis, or active secretion, has emerged as a promising non-invasive diagnostic tool for various disorders including neurodegenerative diseases. cfDNA can serve as an indicator of ongoing cellular damage and mortality, including neuronal loss, and may provide valuable insights into disease processes, progression, and therapeutic responses. This review will first cover the key aspects of cfDNA and then examine recent advances in its potential use as a biomarker for neurodegenerative disorders.

Indexed as

Cell-Free Nucleic AcidsNeurodegenerative DiseasesAnimalsBiomarkersHumansBiomarkersCell-Free Nucleic AcidsCell-free DNACfDNACirculating biomarkersLiquid biopsyNeurodegenerative disorders

Identifiers

PMID40080233
PMCPMC11906534

What Socratic holds

Textmetadata
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 Socratic graph.