Evidence map›Paper›PMID 39980027›Full record

ArticleCell & bioscience2025

Whole-genome bisulfite sequencing of cell-free DNA unveils age-dependent and ALS-associated methylation alterations.

Yulin Jin, Karen N Conneely, Wenjing Ma, Robert K Naviaux, Teepu Siddique, Emily G Allen, Sandra Guingrich, Robert M Pascuzzi, Peng Jin

Abstract read
In one paragraph

Article in Cell & bioscience, 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. Article
  3. Article
  4. Review
  5. Article
  6. Review
  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

9 authors.

Yulin JinDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Karen N ConneelyDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Wenjing MaDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
Robert K NaviauxDepartments of Medicine, Pediatrics, and Pathology, and the Mitochondrial and Metabolic Disease Center (MMDC), School of Medicine, University of California San Diego, San Diego, CA, 92103, USA.
Teepu SiddiqueFeinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Emily G AllenDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Sandra GuingrichDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Robert M PascuzziDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Peng JinDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA. peng.jin@emory.edu.ORCID http://orcid.org/0000-0001-6137-6659

Funding

Project 3P50HD104458 · NICHD · EMORY UNIVERSITY · PI CHEN, LU · 2020 to 2024
$8.1M
Dynamic DNA Modifications in Brain and DiseasesR35NS111602 · NINDS · EMORY UNIVERSITY · PI PENG JIN · 2019 to 2026
$6.5M
National Institute of Child Health and Human Development HD104458NICHD NIH HHS P50 HD104458NINDS NIH HHS NS111602NINDS NIH HHS R35 NS111602
6 · The paper itself

Abstract

backgroundCell-free DNA (cfDNA) in plasma carries epigenetic signatures specific to tissue or cell of origin. Aberrant methylation patterns in circulating cfDNA have emerged as valuable tools for noninvasive cancer detection, prenatal diagnostics, and organ transplant assessment. Such epigenetic changes also hold significant promise for the diagnosis of neurodegenerative diseases, which often progresses slowly and has a lengthy asymptomatic period. However, genome-wide cfDNA methylation changes in neurodegenerative diseases remain poorly understood.

resultsWe used whole-genome bisulfite sequencing (WGBS) to profile age-dependent and ALS-associated methylation signatures in cfDNA from 30 individuals, including young and middle-aged controls, as well as ALS patients with matched controls. We identified 5,223 age-related differentially methylated loci (DMLs) (FDR < 0.05), with 51.6% showing hypomethylation in older individuals. Our results significantly overlapped with age-associated CpGs identified in a large blood-based epigenome-wide association study (EWAS). Comparing ALS patients to controls, we detected 1,045 differentially methylated regions (DMRs) in gene bodies, promoters, and intergenic regions. Notably, these DMRs were linked to key ALS-associated pathways, including endocytosis and cell adhesion. Integration with spinal cord transcriptomics revealed that 31% of DMR-associated genes exhibited differential expression in ALS patients compared to controls, with over 20 genes significantly correlating with disease duration. Furthermore, comparison with published single-nucleus RNA sequencing (snRNA-Seq) data of ALS demonstrated that cfDNA methylation changes reflects cell-type-specific gene dysregulation in the brain of ALS patients, particularly in excitatory neurons and astrocytes. Deconvolution of cfDNA methylation profiles suggested altered proportions of immune and liver-derived cfDNA in ALS patients.

conclusionscfDNA methylation is a powerful tool for assessing age-related changes and ALS-specific molecular dysregulation by revealing perturbed locus, genes, and the proportional contributions of different tissues/cells to the plasma. This technique holds promise for clinical application in biomarker discovery across a broad spectrum of neurodegenerative disorders.

Identifiers

PMID39980027
PMCPMC11843967

What OpenQuestion 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 OpenQuestion graph.