Evidence map›Paper›PMID 40868829›Full record

ReviewLife (Basel, Switzerland)2025

Epigenetic Profiling of Cell-Free DNA in Cerebrospinal Fluid: A Novel Biomarker Approach for Metabolic Brain Diseases.

Kyle Sporn, Rahul Kumar, Kiran Marla, Puja Ravi, Swapna Vaja, Phani Paladugu, Nasif Zaman, Alireza Tavakkoli

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

8 authors.

Kyle SpornDepartment of Medicine, Norton College of Medicine, SUNY Upstate Medical University, 785 E Adams St., Syracuse, NY 13202, USA.ORCID 0009-0005-5707-9009
Rahul KumarDepartment of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.ORCID 0000-0001-8574-2895
Kiran MarlaCarver College of Medicine, University of Iowa, 375 Newton Rd., Iowa City, IA 52242, USA.ORCID 0000-0001-9513-1422
Puja RaviDepartment of Biology, University of Michigan, 500 S State St., Ann Arbor, MI 48109, USA.
Swapna VajaRush Medical College, 600 S Paulina St. Suite 524, Chicago, IL 60612, USA.ORCID 0000-0002-4982-3708
Phani PaladuguSidney Kimmel Medical College, Thomas Jefferson University, 1025 Walnut St. #100, Philadelphia, PA 19107, USA.
Nasif ZamanHuman-Machine Perception Laboratory, Department of Computer Science, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.ORCID 0000-0003-0120-0939
Alireza TavakkoliHuman-Machine Perception Laboratory, Department of Computer Science, University of Nevada, 1664 N. Virginia St., Reno, NV 89557, USA.ORCID 0000-0001-9460-1269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their clinical heterogeneity, nonspecific symptoms, and the limitations of existing biomarkers and imaging modalities, metabolic brain diseases (MBDs), such as mitochondrial encephalopathies, lysosomal storage disorders, and glucose metabolism syndromes, pose significant diagnostic challenges. This review examines the growing potential of cell-free DNA (cfDNA) derived from cerebrospinal fluid (CSF) epigenetic profiling as a dynamic, cell-type-specific, minimally invasive biomarker approach for MBD diagnosis and monitoring. We review important technological platforms and their use in identifying CNS-specific DNA methylation patterns indicative of neuronal injury, neuroinflammation, and metabolic reprogramming, including cfMeDIP-seq, enzymatic methyl sequencing (EM-seq), and targeted bisulfite sequencing. By synthesizing current findings across disorders such as MELAS, Niemann-Pick disease, Gaucher disease, GLUT1 deficiency syndrome, and diabetes-associated cognitive decline, we highlight the superior diagnostic and prognostic resolution offered by CSF cfDNA methylation signatures relative to conventional CSF markers or neuroimaging. We also address technical limitations, interpretive challenges, and translational barriers to clinical implementation. Ultimately, this review explores CSF cfDNA epigenetic analysis as a liquid biopsy modality. The central objective is to assess whether epigenetic profiling of CSF-derived cfDNA can serve as a reliable and clinically actionable biomarker for improving the diagnosis and longitudinal monitoring of metabolic brain diseases.

Indexed as

cerebrospinal fluidcfMeDIP-seqepigenetic profilingMELASmetabolic brain diseases

Identifiers

PMID40868829
PMCPMC12387425

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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.