Single-cell RNA sequencing highlights the influence of innate and adaptive immune response mechanisms in psoriatic arthritis

被引:0
|
作者
Nielsen, Melanie R. [1 ]
Skougaard, Marie [2 ,3 ,4 ]
Drachmann, Clara [1 ]
Stisen, Zara R. [3 ]
Ditlev, Sisse B. [4 ]
Jessen, Leon E. [1 ]
Kristensen, Lars Erik [3 ,5 ]
机构
[1] Tech Univ Denmark DTU, Dept Hlth Technol, Sect Bioinformat, Lyngby, Denmark
[2] Aarhus Univ Hosp, Dept Clin Immunol, Aarhus, Denmark
[3] Copenhagen Univ Hosp Bispebjerg & Frederiksberg, Parker Inst, Copenhagen, Denmark
[4] Copenhagen Univ Hosp Bispebjerg & Frederiksberg, Copenhagen Ctr Translat Res, Copenhagen, Denmark
[5] Univ Copenhagen, Fac Hlth & Med Sci, Dept Clin Med, Copenhagen, Denmark
来源
FRONTIERS IN IMMUNOLOGY | 2025年 / 15卷
关键词
psoriatic arthritis; psoriasis; scRNAseq; transcriptomics; bioinformatics; inflammation; differential expression analysis; gene set enrichment analysis; T-CELLS; SKIN; PATHOGENESIS; ETANERCEPT; THERAPY; PROTEIN; RGS1;
D O I
10.3389/fimmu.2024.1490051
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Introduction Psoriatic arthritis (PsA) is a chronic immune-mediated inflammatory disease displaying heterogeneous symptoms. However, the association between the clinical heterogeneity of PsA and disease immunopathogenesis remains poorly understood complicating diagnostic precision. A knowledge gap remains on whether it is possible to distinguish the clinical PsA phenotypes on the immune cellular level. The primary aim of the study was to explore the differences in gene expression profiles comparing PsA patients without cutaneous psoriasis (PsA-only) and PsA patients with cutaneous psoriasis (PsA/PsC). The secondary aim was to describe the transcriptional patterns in PsA patients compared with healthy controls.Methods The study applied single-cell RNA sequencing (scRNAseq) using the BD Rhapsody (TM) Single-Cell Analysis System to evaluate peripheral blood mononuclear cells (PBMCs) from 70 PsA patients and 10 healthy controls. Differential expression (DE) analysis and gene set enrichment analysis (GSEA) were applied to evaluate differentially expressed genes (DEGs) and enriched signaling pathways, respectively.Results The DE analysis and GSEA comparing PsA-only and PsA/PsC patients with healthy controls, respectively, revealed divergent results involving both innate and adaptive immune mechanisms, which might be associated with differences in the clinical phenotype. No DEGs were discovered in the direct comparison of PsA-only and PsA/PsC patients.Discussion The single-cell transcriptome profiling provided insight into the heterogeneity of PsA patients as the discovered DEGs and the GSEA did demonstrate differences in signaling associated with inflammation comparing PsA patients with and without cutaneous psoriasis.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Immune landscape in lung adenocarcinoma drawn by single-cell RNA sequencing
    Ku, Bo Mi
    Kim, Nayoung
    Lee, Kyung Young
    Sun, Jong-Mu
    Lee, Se-Hoon
    Ahn, Jin Seok
    Park, Keunchil
    Kim, Hong Kwan
    Lee, Hae-Ock
    Ahn, Myung-Ju
    CANCER RESEARCH, 2019, 79 (13)
  • [22] Single-cell RNA sequencing of immune cells in patients with acute gout
    Chang, Jan-Gowth
    Tu, Siang-Jyun
    Huang, Chung-Ming
    Chen, Yu-Chia
    Chiang, Hui-Shan
    Lee, Ya-Ting
    Yen, Ju-Chen
    Lin, Chia-Li
    Chung, Chin-Chun
    Liu, Ta-Chih
    Chang, Ya-Sian
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [23] Identification of Evolutionary Mechanisms of Myelomatous Effusion By Single-Cell RNA Sequencing
    Qu, Xiaoyan
    Li, Jianyong
    Sun, Zhengxu
    Ji, Jiamei
    Li, Yating
    Cui, Yunqi
    BLOOD, 2022, 140 : 7096 - 7096
  • [24] Identification of evolutionary mechanisms of myelomatous effusion by single-cell RNA sequencing
    Sun, Zhengxu
    Ji, Jiamei
    Li, Yating
    Cui, Yunqi
    Fan, Lei
    Li, Jianyong
    Qu, Xiaoyan
    BLOOD ADVANCES, 2023, 7 (15) : 4148 - 4159
  • [25] Mapping interindividual dynamics of innate immune response at single-cell resolution
    Kumasaka, Natsuhiko
    Rostom, Raghd
    Huang, Ni
    Polanski, Krzysztof
    Meyer, Kerstin B.
    Patel, Sharad
    Boyd, Rachel
    Gomez, Celine
    Barnett, Sam N.
    Panousis, Nikolaos, I
    Schwartzentruber, Jeremy
    Ghoussaini, Maya
    Lyons, Paul A.
    Calero-Nieto, Fernando J.
    Gottgens, Berthold
    Barnes, Josephine L.
    Worlock, Kaylee B.
    Yoshida, Masahiro
    Nikolic, Marko Z.
    Stephenson, Emily
    Reynolds, Gary
    Haniffa, Muzlifah
    Marioni, John C.
    Stegle, Oliver
    Hagai, Tzachi
    Teichmann, Sarah A.
    NATURE GENETICS, 2023, 55 (06) : 1066 - +
  • [26] Mapping interindividual dynamics of innate immune response at single-cell resolution
    Natsuhiko Kumasaka
    Raghd Rostom
    Ni Huang
    Krzysztof Polanski
    Kerstin B. Meyer
    Sharad Patel
    Rachel Boyd
    Celine Gomez
    Sam N. Barnett
    Nikolaos I. Panousis
    Jeremy Schwartzentruber
    Maya Ghoussaini
    Paul A. Lyons
    Fernando J. Calero-Nieto
    Berthold Göttgens
    Josephine L. Barnes
    Kaylee B. Worlock
    Masahiro Yoshida
    Marko Z. Nikolić
    Emily Stephenson
    Gary Reynolds
    Muzlifah Haniffa
    John C. Marioni
    Oliver Stegle
    Tzachi Hagai
    Sarah A. Teichmann
    Nature Genetics, 2023, 55 : 1066 - 1075
  • [27] Single-cell RNA Sequencing in Immunology
    Cao, Yirui
    Qiu, Yue
    Tu, Guowei
    Yang, Cheng
    CURRENT GENOMICS, 2020, 21 (08) : 564 - 575
  • [28] Single-cell RNA sequencing in osteoarthritis
    Gu, Yuyuan
    Hu, Yan
    Zhang, Hao
    Wang, Sicheng
    Xu, Ke
    Su, Jiacan
    CELL PROLIFERATION, 2023, 56 (12)
  • [29] Decoding physiological and pathological roles of innate immune cells in eye diseases: the perspectives from single-cell RNA sequencing
    Lu, Chen
    Mao, Xiying
    Yuan, Songtao
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [30] Mapping glioma progression: single-cell RNA sequencing illuminates cell-cell interactions and immune response variability
    Li, Xia
    Chen, Shenbo
    Ding, Ming
    Ding, Hui
    Yang, Kun
    DISCOVER ONCOLOGY, 2025, 16 (01)