PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 42530360

Genome-wide methylation profiling identifies signatures of pain, fatigue and health scores in women with systemic lupus erythematosus.

Alessandro Camponeschi·Amin Ravaei·Tahzeeb Fatima·Chris Wincup·Anna Rudin·Jan Bjersing·Cristina Maglio
View original source ↗Export metadata ↓

Abstract

OBJECTIVES: People with systemic lupus erythematosus (SLE) experience high levels of pain and fatigue with poor overall health, which persist in those with low disease activity. By performing epigenome-wide DNA methylation analysis, this study aims to identify epigenetic alterations associated with self-reported scores for pain, fatigue and health in women with SLE. METHODS: Forty-eight women with SLE from the SLEGOT cohort were included. Study participants exhibited low disease activity (median SLEDAI-2K = 0) and minimal damage (median SLICC damage index = 0). An epigenome-wide DNA methylation analysis in whole blood identified 704 237 CpG loci, with 511 673 annotated to known genes. RESULTS: We identified 485, 591 and 577 differentially methylated CpGs linked to pain, fatigue and poor health, respectively. The association of reported pain with CpGs in GPR107, SPHK2, HBA1 and RERE genes suggested a potential role for neuromodulation in pain perception in SLE. For fatigue, enrichment analysis highlighted pathways related to neuronal development, morphogenesis and synaptic signalling. Nine genes, including BDNF and TGIF1, showed strong correlations with all three scores, suggesting a shared epigenetic influence that may underlie pain, fatigue and poor health in SLE. Specific microRNA genes were differentially methylated in relation to pain and fatigue. CONCLUSION: By studying a cohort of women with well-controlled SLE, we identified several CpGs and genes associated with pain, fatigue and general health. Our findings suggest that epigenetic changes in genes involved in neuronal modulation, rather than inflammatory pathways, could be involved in the development of these symptoms in patients with SLE.

Explore related subjects

HumansFemaleLupus Erythematosus, SystemicDNA MethylationFatiguePainAdultMiddle AgedCpG IslandsGenome-Wide Association StudyEpigenesis, GeneticSeverity of Illness IndexSLEepigeneticsfatiguepainwomenJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Alessandro Camponeschi, Amin Ravaei, Tahzeeb Fatima, Chris Wincup, Anna Rudin, Jan Bjersing, Cristina Maglio. 2026-08-01. Genome-wide methylation profiling identifies signatures of pain, fatigue and health scores in women with systemic lupus erythematosus.. https://doi.org/10.1093/rheumatology%2Fkeag392

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗