A genetic-epigenetic interplay at 1q21.1 locus underlies CHD1L-mediated vulnerability to primary progressive multiple sclerosis.
Majid Pahlevan KakhkiAntonino GiordanoChiara Starvaggi CucuzzaTejaswi Venkata S BadamSamudyata SamudyataMarianne Victoria LeméePernilla StridhAsimenia GkogkaKlementy ShchetynskyAdil HarroudAlexandra GyllenbergYun LiuSanjaykumar BoddulTojo JamesMelissa SorosinaMassimo FilippiFederica EspositoFredrik WermelingMika GustafssonPatrizia CasacciaJan HillertTomas OlssonIngrid KockumCarl M SellgrenChristelle GolzioLara KularMaja JagodicPublished in: Nature communications (2024)
Multiple Sclerosis (MS) is a heterogeneous inflammatory and neurodegenerative disease with an unpredictable course towards progressive disability. Treating progressive MS is challenging due to limited insights into the underlying mechanisms. We examined the molecular changes associated with primary progressive MS (PPMS) using a cross-tissue (blood and post-mortem brain) and multilayered data (genetic, epigenetic, transcriptomic) from independent cohorts. In PPMS, we found hypermethylation of the 1q21.1 locus, controlled by PPMS-specific genetic variations and influencing the expression of proximal genes (CHD1L, PRKAB2) in the brain. Evidence from reporter assay and CRISPR/dCas9 experiments supports a causal link between methylation and expression and correlation network analysis further implicates these genes in PPMS brain processes. Knock-down of CHD1L in human iPSC-derived neurons and knock-out of chd1l in zebrafish led to developmental and functional deficits of neurons. Thus, several lines of evidence suggest a distinct genetic-epigenetic-transcriptional interplay in the 1q21.1 locus potentially contributing to PPMS pathogenesis.
Keyphrases
- multiple sclerosis
- genome wide
- white matter
- dna methylation
- gene expression
- copy number
- network analysis
- poor prognosis
- resting state
- spinal cord
- crispr cas
- traumatic brain injury
- cerebral ischemia
- induced pluripotent stem cells
- mass spectrometry
- single cell
- transcription factor
- climate change
- machine learning
- binding protein
- long non coding rna
- rna seq
- data analysis