Dataset Information

Characterization of comprehensive dynamic epigenetic changes during human primary Sjogren's syndrome progression.

ABSTRACT:

Background

Primary Sjögren's syndrome (pSS) is a systemic autoimmune disease characterized by reduced exocrine gland (principally the salivary and lacrimal glands) activity caused by chronic lymphocytic infiltration. Although pSS has been closely associated with an increased risk of mucosa-associated lymphoid tissue (MALT) lymphoma, the dynamic epigenetic changes in the gland cells that accompany the pathogenesis are not entirely understood.

Methods

In this study, we harvested tissue samples from the labial gland with (LG_pSS) or without pSS (LG_NC) before MALT development, as well as the parotid gland with tumor tissues (PG_MALT) and paracancerous tissues (PG_NC) of two pSS patients with MALT lymphoma, and conducted RNA-seq and ChIP-seq for tri-methylated histone 3 lysine 4, 9, 27, 36, and 79 (H3K4/9/27/36/79me3).

Results

Transcriptome landscapes indicated two outcomes of pSS progression with or without MALT lymphoma represented by distinct populations of differentially expressed genes and their functions. Furthermore, the epigenetic atlas of genome-wide H3K4/9/27/36/79me3 was in different stages for various samples, indicating that the variance of H3K4me3 was the earliest event, followed by selective alterations of H3K9/27/36/79me3. These four epigenetic modifications determine the final outcome of pSS progression.

Conclusions

Our results not only advance the understanding of the dynamics of pSS progression and highlight the importance of epigenetic alterations in regulating transcription during this pathological process, but also identify potential therapeutic targets for pSS treatment and lymphoma intervention.

SUBMITTER: Cao N

PROVIDER: S-EPMC8339825 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundPrimary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease of the exocrine glands characterized by specific pathological features. Previous studies have pointed out that salivary glands from pSS patients express a unique profile of cytokines, adhesion molecules, and chemokines compared to those from healthy controls. However, there is limited evidence supporting the utility of individual markers for different stages of pSS. This study aimed to explore potential biomarkers associated with pSS disease progression and analyze the associations between key genes and immune cells.MethodsWe combined our own RNA sequencing data with pSS datasets from the NCBI Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) via bioinformatics analysis. Salivary gland biopsies were collected from 14 pSS patients, 6 non-pSS patients, and 6 controls. Histochemical staining and scanning electron micrographs (SEM) were performed to macroscopically and microscopically characterize morphological features of labial salivary glands in different disease stages. Then, we performed quantitative PCR to validate hub genes. Finally, we analyzed correlations between selected hub genes and immune cells using the CIBERSORT algorithm.ResultsWe identified twenty-eight DEGs that were upregulated in pSS patients compared to healthy controls. These were mainly involved in immune-related pathways and infection-related pathways. According to the morphological features of minor salivary glands, severe interlobular and periductal lymphocytic infiltrates, acinar atrophy and collagen in the interstitium, nuclear shrinkage, and microscopic organelle swelling were observed with pSS disease progression. Hub genes based on above twenty-eight DEGs, including MS4A1, CD19, TCL1A, CCL19, CXCL9, CD3G, and CD3D, were selected as potential biomarkers and verified by RT-PCR. Expression of these genes was correlated with T follicular helper cells, memory B cells and M1 macrophages.ConclusionUsing transcriptome sequencing and bioinformatics analysis combined with our clinical data, we identified seven key genes that have potential value for evaluating pSS severity.