This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
Distinct Regulatory DNA Methylation Signatures Across Multiple Sclerosis, Neuromyelitis Optica, and Neurological Post-Acute Sequelae of COVID-19
by
Syed Ilyas Munzir
Syed Ilyas Munzir 1,
Daniel Hier
Daniel Hier 1,2
and
Michael D. Carrithers
Michael D. Carrithers 1,*
1
Department of Neurology and Rehabilitation, University of Illinois College of Medicine at Chicago, Chicago, IL 60616, USA
2
Center for Artificial Intelligence and Autonomous Systems, Kummer Institute, Missouri University of Science and Technology, Rolla, MO 65409, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2026, 15(13), 4968; https://doi.org/10.3390/jcm15134968 (registering DOI)
Submission received: 8 May 2026
/
Revised: 2 June 2026
/
Accepted: 18 June 2026
/
Published: 25 June 2026
Abstract
Background/Objectives: Our prior epigenome-wide association study (EWAS) on multiple sclerosis (MS) identified myeloid-associated methylation signatures and an association with enhancer regions. Here we compared differential DNA methylation across three central nervous system inflammatory disorders: MS, neuromyelitis optica (NMO), and neurologic post-acute sequelae of COVID-19 (neuro-PASC). Methods: Whole-blood DNA was profiled on Infinium MethylationEPIC arrays. Analyses included EWAS at the CpG level, differentially methylation region (DMR) analysis, and gene regulatory-element enrichment using Locus Overlap Analysis (LOLA). Limma linear models were adjusted for race, EPIC array version, age, sex, disease-modifying treatment class, and blood cell composition. Results: All three diseases were associated with broad CpG-level differential methylation. The most robust findings were disease-specific DMR signatures in gene regulatory regions. All three diseases shared Lamin B1-anchored chromatin states as an architectural genomic feature but differed in immune regulatory transcription factor binding sites (TFBS), RNA polymerase (Pol II) occupancy, and DNase accessibility. MS was enriched for TFBS in myeloid CEBPB and SPI1/PU.1 and lymphocyte-associated RUNX3, EBF1, and BATF. MS hypomethylated DMRs were concentrated at active enhancers and myeloid TFBS, suggestive of chronic myeloid activation. NMO showed the clearest promoter and B lymphocyte associated profile. Neuro-PASC was associated with hematopoietic DNase accessibility and TFBS for BATF and EBF1. Conclusions: These results suggest that DNA methylation in MS, NMO, and neuro-PASC differ meaningfully in regulatory architecture rather than conforming to a single shared disease-associated methylation model. A long-term goal is to develop immune therapies for newly recognized diseases such as neuro-PASC.
Share and Cite
MDPI and ACS Style
Munzir, S.I.; Hier, D.; Carrithers, M.D.
Distinct Regulatory DNA Methylation Signatures Across Multiple Sclerosis, Neuromyelitis Optica, and Neurological Post-Acute Sequelae of COVID-19. J. Clin. Med. 2026, 15, 4968.
https://doi.org/10.3390/jcm15134968
AMA Style
Munzir SI, Hier D, Carrithers MD.
Distinct Regulatory DNA Methylation Signatures Across Multiple Sclerosis, Neuromyelitis Optica, and Neurological Post-Acute Sequelae of COVID-19. Journal of Clinical Medicine. 2026; 15(13):4968.
https://doi.org/10.3390/jcm15134968
Chicago/Turabian Style
Munzir, Syed Ilyas, Daniel Hier, and Michael D. Carrithers.
2026. "Distinct Regulatory DNA Methylation Signatures Across Multiple Sclerosis, Neuromyelitis Optica, and Neurological Post-Acute Sequelae of COVID-19" Journal of Clinical Medicine 15, no. 13: 4968.
https://doi.org/10.3390/jcm15134968
APA Style
Munzir, S. I., Hier, D., & Carrithers, M. D.
(2026). Distinct Regulatory DNA Methylation Signatures Across Multiple Sclerosis, Neuromyelitis Optica, and Neurological Post-Acute Sequelae of COVID-19. Journal of Clinical Medicine, 15(13), 4968.
https://doi.org/10.3390/jcm15134968
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article metric data becomes available approximately 24 hours after publication online.