Abstract Background Systemic lupus erythematosus (SLE) is an autoimmune condition that impacts various organs. Given the intricate clinical progression of SLE, it is imperative to explore novel avenues for precise diagnosis and treatment. Methods Peripheral blood mononuclear cells (PBMC) were isolated from 6 SLE patients before and after treatment, 7 healthy controls and 7 disease controls. Assay for Transposase Accessible Chromatin with high throughput Sequencing (ATAC-seq) was used to analyze the chromatin accessibility signatures and RNA-seq was used to identify the differentially expressed genes, mRNA, lncRNA, circRNA, miRNA. Then ATAC-seq and RNA-seq were integrated to further analyze hub genes and pathways. Finally, we validated gene expression levels and examined changes in key genes after treatment through in vitro experiments. Results Our analysis reveals dynamic changes in chromatin accessibility during the course of disease progression in SLE. Significantly higher numbers of differentially accessible regions, transcripts, genes, mRNA, lncRNA, circRNA, and miRNA were observed in SLE patients compared to other cohorts, with these variances markedly reduced post-treatment. Two gene clusters associated with SLE disease improvement were identified, with a total of 140 genes intersecting with ATAC results. Pathway analysis revealed that NK cell mediated cytotoxicity was the most differentiated and therapeutically altered pathway in SLE patients. Independent sample validation confirmed that the gene expression of this pathway was reduced in SLE patients and associated with disease activity, whereas hydroxychloroquine (HCQ) effectively elevated their expression in vitro. Conclusion Our findings suggest that these NK cell signature genes may be associated with the complex pathogenesis of SLE. The restoration of NK cell-mediated cytotoxicity may serve as a useful marker of improvement following SLE treatment. Keywords: systemic lupus erythematosus, ATAC-seq, RNA-Seq, NK cells, open chromatin Graphical Abstract [37]graphic file with name fimmu-16-1580540-g007.jpg 1. Introduction Systemic lupus erythematosus (SLE), a complex autoimmune disease character-ized by diverse clinical manifestations and multi-organ involvement, poses significant challenges to effective patient management. Despite advancements in treatment, a substantial proportion of SLE patients, particularly those with high disease activity, continue to face unfavorable prognoses, and long-term medication often results in detrimental side effects ([38]1, [39]2) These clinical limitations underscore the urgent need for innovative diagnostic and therapeutic strategies. Given the heterogeneous nature of SLE and the elusive nature of its clinical progression ([40]3), personalized approaches based on precision medicine technologies, notably transcriptomics, hold great promise for improving disease management. While several studies have identified distinctive transcriptome signatures in SLE patients that can differentiate them from healthy individuals ([41]4), as well as reflecting clinical variations in disease severity and antibody profiles ([42]5, [43]6), our understanding of the dynamic changes in gene expression throughout the course of SLE, especially in response to treatment, remains incomplete. Epigenetic modifications, operating independently of DNA sequences, play a crucial role in regulating gene ex-pression, including DNA methylation, histone modifications, chromatin accessibility, and non-coding RNAs ([44]7). Of these, chromatin accessibility, which governs the binding of regulatory elements and transcription factors, is particularly pivotal in transcriptional control ([45]8). The assay for Transposase Accessible Chromatin using sequencing (ATAC-seq) provides a straightforward and scalable approach to explore open chromatin regions. When integrated with RNA-seq, ATAC-seq helps identify regulatory changes that impact gene expression crucial for understanding disease’s pathogenesis. There have been several successful applications of combining ATAC-seq with RNA-seq, such as the discovery of candidate genes and transcriptional factors associated with hemangiomas ([46]9). These findings offer new perspectives on understanding the pathogenesis of complex diseases. There have been attempts to explore the pathogenesis of SLE in conjunction with the application of ATAC-seq combined with transcriptome analysis ([47]10, [48]11), but to date no dynamic changes in these multi-omics before and after treatment have been reported. In this study, we conducted integrated analysis of ATAC-seq and RNA-seq to explain the epigenetic and transcriptional landscape of SLE, focusing on gene clusters that underwent changes after treatment. The research results may provide new references for