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Wang J, Yang X, Zhang Y, Jiang X, Li Y, Cui J, Liao Y. Single-cell analysis with childhood and adult systemic lupus erythematosus. Autoimmunity 2024; 57:2281228. [PMID: 38347676 DOI: 10.1080/08916934.2023.2281228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 11/05/2023] [Indexed: 02/15/2024]
Abstract
Patients with systemic lupus erythematosus (SLE), a heterogeneous and chronic autoimmune disease, exhibit unique changes in the complex composition and transcriptional signatures of peripheral blood mononuclear cells (PBMCs). While the mechanism of pathogenesis for both childhood-onset SLE (cSLE) and adult-onset SLE (aSLE) remains unclear, cSLE patients are considered more unpredictable and dangerous than aSLE patients. In this study, we analysed single-cell RNA sequencing data (scRNA-seq) to profile the PBMC clusters of cSLE/aSLE patients and matched healthy donors and compared the PBMC composition and transcriptional variations between the two groups. Our analysis revealed that the PBMC composition and transcriptional variations in cSLE patients were similar to those in aSLE patients. Comparative single-cell transcriptome analysis between healthy donors and SLE patients revealed IFITM3, ISG15, IFI16 and LY6E as potential therapeutic targets for both aSLE and cSLE patients. Additionally, we observed that the percentage of pre-B cells (CD34-) was increased in cSLE patients, while the percentage of neutrophil cells was upregulated in aSLE patients. Notably, we found decreased expression of TPM2 in cSLE patients, and similarly, TMEM150B, IQSEC2, CHN2, LRP8 and USP46 were significantly downregulated in neutrophil cells from aSLE patients. Overall, our study highlights the differences in complex PBMC composition and transcriptional profiles between cSLE and aSLE patients, providing potential biomarkers that could aid in diagnosing SLE.
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Affiliation(s)
- Jing Wang
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Xiran Yang
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Yanhua Zhang
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Xuemei Jiang
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Yanfang Li
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Jingjing Cui
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
| | - Yabin Liao
- Department of Nephrology and Rheumatology, Kunming Children's Hospital, Kunming, China, People's Republic of China
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2
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Meng X, Zheng Y, Zhang L, Liu P, Liu Z, He Y. Single-Cell Analyses Reveal the Metabolic Heterogeneity and Plasticity of the Tumor Microenvironment during Head and Neck Squamous Cell Carcinoma Progression. Cancer Res 2024; 84:2468-2483. [PMID: 38718319 DOI: 10.1158/0008-5472.can-23-1344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/31/2023] [Accepted: 04/29/2024] [Indexed: 08/02/2024]
Abstract
Metabolic reprogramming is a hallmark of cancer. In addition to metabolic alterations in the tumor cells, multiple other metabolically active cell types in the tumor microenvironment (TME) contribute to the emergence of a tumor-specific metabolic milieu. Here, we defined the metabolic landscape of the TME during the progression of head and neck squamous cell carcinoma (HNSCC) by performing single-cell RNA sequencing on 26 human patient specimens, including normal tissue, precancerous lesions, early stage cancer, advanced-stage cancer, lymph node metastases, and recurrent tumors. The analysis revealed substantial heterogeneity at the transcriptional, developmental, metabolic, and functional levels in different cell types. SPP1+ macrophages were identified as a protumor and prometastatic macrophage subtype with high fructose and mannose metabolism, which was further substantiated by integrative analysis and validation experiments. An inhibitor of fructose metabolism reduced the proportion of SPP1+ macrophages, reshaped the immunosuppressive TME, and suppressed tumor growth. In conclusion, this work delineated the metabolic landscape of HNSCC at a single-cell resolution and identified fructose metabolism as a key metabolic feature of a protumor macrophage subpopulation. Significance: Fructose and mannose metabolism is a metabolic feature of a protumor and prometastasis macrophage subtype and can be targeted to reprogram macrophages and the microenvironment of head and neck squamous cell carcinoma.
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Affiliation(s)
- Xiaoyan Meng
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Yang Zheng
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Lingfang Zhang
- Suzhou Lingdian Biotechnology Co., Ltd., Suzhou, P.R. China
| | - Peipei Liu
- Suzhou Lingdian Biotechnology Co., Ltd., Suzhou, P.R. China
| | - Zhonglong Liu
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Yue He
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
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3
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He J, Liu Z, Cao Y, Zhang X, Yi C, Zhou Y, Yang C, Guo Z, Zheng Q, Huang J. Single-cell landscape of peripheral immune response in patients with anti-melanoma differentiation-associated gene 5 dermatomyositis. Rheumatology (Oxford) 2024; 63:2284-2294. [PMID: 37941459 DOI: 10.1093/rheumatology/kead597] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 10/13/2023] [Accepted: 10/23/2023] [Indexed: 11/10/2023] Open
Abstract
OBJECTIVE Anti-melanoma differentiation-associated gene 5 (Anti-MDA5)-positive DM is a rare but life-threatening autoimmune disorder that is associated with a high risk of developing rapidly progressive interstitial lung disease. Current empirical therapies offer limited benefit in terms of patient survival, as little is known about the aetiology of anti-MDA5 DM. To best understand its immune landscape, we applied single-cell RNA sequencing (scRNA-seq) to peripheral blood samples from DM patients and healthy controls. METHODS Peripheral blood mononuclear cells (PBMCs) from eight DM patients (including three distinct subtypes of DM) and two healthy donors were sequenced using the 10X Genomics platform. Additional scRNA-seq data for four healthy donors were incorporated for further bioinformatic analysis. RESULTS Aberrantly increased proportions of CD14+ monocytes and plasma cells were observed in anti-MDA5 DM PBMC samples. Moreover, we found an overactivated type I IFN response and antiviral immunity in both innate and adaptive immune cells derived from anti-MDA5 DM patients that was positively correlated with disease severity. Importantly, a unique subset of CD14+ monocytes that highly expressed IFN alpha-inducible protein 27 (IFI27), a biomarker for viral infection, and IFN induced with helicase C domain 1 (IFIH1, which encodes MDA5) was specifically identified in anti-MDA5 DM samples for the first time. CONCLUSION Our study has illustrated the peripheral immune cell atlas of a number of DM subtypes, has provided compelling evidence for a viral infection-derived origin for anti-MDA5 DM, and has indicated potential targets for innovative therapeutic interventions.
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Affiliation(s)
- Jiangping He
- Department of Rheumatology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China, Hangzhou, China
| | - Zhicheng Liu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Cao
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaofang Zhang
- Department of Rheumatology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China, Hangzhou, China
| | - Caihong Yi
- Department of Rheumatology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China, Hangzhou, China
| | - Yanzi Zhou
- Department of Rheumatology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China, Hangzhou, China
| | - Chen Yang
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenyang Guo
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Quan Zheng
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiao Huang
- Department of Rheumatology, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China, Hangzhou, China
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Zhang H, Zhang Z, Fan K, Chen H, Guo Y, Mo X. Decoding the genetic landscape of juvenile dermatomyositis: insights from phosphorylation-associated single nucleotide polymorphisms. Immunogenetics 2024:10.1007/s00251-024-01350-y. [PMID: 39085621 DOI: 10.1007/s00251-024-01350-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Abstract
Genome-wide association studies (GWASs) have identified genetic susceptibility loci associated with juvenile dermatomyositis (JDM). Single nucleotide polymorphisms related to phosphorylation (phosSNPs) are critical nonsynonymous mutations exerting substantial influence on gene expression regulation. The aim of this study was to identify JDM susceptibility genes in the GWAS loci by the use of phosSNPs. We explored quantitative trait loci (QTLs) among the phosSNPs associated with JDM using data from eQTL (bulk tissues and single-cell) and pQTL studies. For gene expression and protein levels significantly influenced by JDM-associated phosSNPs, we assessed their associations with JDM through MR analyses. Additionally, we conducted differential expression gene analyses, incorporating single-cell transcriptomic profiling of 6 JDM cases and 11 juvenile controls (99,396 cells). We identified 31 phosSNPs situated in the 6p21 locus that were associated with JDM. Half of these phosSNPs showed effects on gene expression in various cells and circulating protein levels. In MR analyses, we established associations between the expression levels of pivotal JDM-associated genes, including MICB, C4A, HLA-DRB1, HLA-DRB5, and PSMB9, in skin, muscle, or blood cells and circulating levels of C4A, with JDM. Utilizing single-cell eQTL data, we identified a total of 276 association signals across 14 distinct immune cell types for 28 phosSNPs. Further insights were gained through single-cell differential expression analysis, revealing differential expression of PSMB9, HLA-A, HLA-B, HLA-C, HLA-DPB1, HLA-DQA1, HLA-DQB1, and HLA-DRB1 in immune cells. The present study pinpointed phosSNPs within susceptibility genes for JDM and unraveled the intricate relationships among these SNPs, gene expression levels, and JDM.
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Affiliation(s)
- Huan Zhang
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zhentao Zhang
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Kedi Fan
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China
| | - Hongru Chen
- Department of Rheumatology, the First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215000, People's Republic of China
| | - Yufan Guo
- Department of Rheumatology, the First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215000, People's Republic of China.
| | - Xingbo Mo
- Department of Epidemiology, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
- Center for Genetic Epidemiology and Genomics, MOE Key Laboratory of Geriatric Diseases and Immunology, School of Public Health, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, People's Republic of China.
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Sun F, Li H, Sun D, Fu S, Gu L, Shao X, Wang Q, Dong X, Duan B, Xing F, Wu J, Xiao M, Zhao F, Han JDJ, Liu Q, Fan X, Li C, Wang C, Shi T. Single-cell omics: experimental workflow, data analyses and applications. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2561-0. [PMID: 39060615 DOI: 10.1007/s11427-023-2561-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/18/2024] [Indexed: 07/28/2024]
Abstract
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome, proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field, offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.
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Affiliation(s)
- Fengying Sun
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China
| | - Haoyan Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Dongqing Sun
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Shaliu Fu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Lei Gu
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China
| | - Qinqin Wang
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Bin Duan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Feiyang Xing
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Minmin Xiao
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China.
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China.
- Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Chen Li
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Tieliu Shi
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, 200062, China.
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Castellini-Pérez O, Povedano E, Barturen G, Martínez-Bueno M, Iakovliev A, Kerick M, López-Domínguez R, Marañón C, Martín J, Ballestar E, Borghi MO, Qiu W, Zhu C, Shankara S, Spiliopoulou A, de Rinaldis E, Carnero-Montoro E, Alarcón-Riquelme ME. Molecular subtypes explain lupus epigenomic heterogeneity unveiling new regulatory genetic risk variants. NPJ Genom Med 2024; 9:38. [PMID: 39013887 PMCID: PMC11252280 DOI: 10.1038/s41525-024-00420-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/17/2024] [Indexed: 07/18/2024] Open
Abstract
The heterogeneity of systemic lupus erythematosus (SLE) can be explained by epigenetic alterations that disrupt transcriptional programs mediating environmental and genetic risk. This study evaluated the epigenetic contribution to SLE heterogeneity considering molecular and serological subtypes, genetics and transcriptional status, followed by drug target discovery. We performed a stratified epigenome-wide association studies of whole blood DNA methylation from 213 SLE patients and 221 controls. Methylation quantitative trait loci analyses, cytokine and transcription factor activity - epigenetic associations and methylation-expression correlations were conducted. New drug targets were searched for based on differentially methylated genes. In a stratified approach, a total of 974 differential methylation CpG sites with dependency on molecular subtypes and autoantibody profiles were found. Mediation analyses suggested that SLE-associated SNPs in the HLA region exert their risk through DNA methylation changes. Novel genetic variants regulating DNAm in disease or in specific molecular contexts were identified. The epigenetic landscapes showed strong association with transcription factor activity and cytokine levels, conditioned by the molecular context. Epigenetic signals were enriched in known and novel drug targets for SLE. This study reveals possible genetic drivers and consequences of epigenetic variability on SLE heterogeneity and disentangles the DNAm mediation role on SLE genetic risk and novel disease-specific meQTLs. Finally, novel targets for drug development were discovered.
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Affiliation(s)
- Olivia Castellini-Pérez
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
- University of Granada, Granada, Spain
| | - Elena Povedano
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
- Spanish National Research Council (CSIC), Institute of Economy, Geography and Demography, Madrid (IEGD), Madrid, Spain
- Autonomous University of Madrid, Madrid, Spain
| | - Guillermo Barturen
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
- Department of Genetics, Faculty of Sciences, University of Granada, Granada, Spain
| | - Manuel Martínez-Bueno
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
| | - Andrii Iakovliev
- Usher Institute of Population Health Sciences and Informatics. University of Edinburgh Medical School, EH8 9YL, Edinburgh, UK
| | - Martin Kerick
- IBPLN-CSIC, Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, 18016, Spain
| | - Raúl López-Domínguez
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
| | - Concepción Marañón
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain
| | - Javier Martín
- IBPLN-CSIC, Instituto de Parasitología y Biomedicina López-Neyra, Consejo Superior de Investigaciones Científicas, Granada, 18016, Spain
| | - Esteban Ballestar
- Epigenetics and Immune Disease Group, Josep Carreras Research Institute (IJC), 08916, Badalona, Barcelona, Spain
| | | | - Weiliang Qiu
- Sanofi, Early Development and Research, Cambridge, MA, USA
| | - Cheng Zhu
- Sanofi, Precision Medicine & Computational Biology (PMCB), R&D, Cambridge, MA, USA
| | - Srinivas Shankara
- Sanofi, Precision Medicine & Computational Biology (PMCB), R&D, Cambridge, MA, USA
| | - Athina Spiliopoulou
- Usher Institute of Population Health Sciences and Informatics. University of Edinburgh Medical School, EH8 9YL, Edinburgh, UK
| | - Emanuele de Rinaldis
- Sanofi, Precision Medicine & Computational Biology (PMCB), R&D, Cambridge, MA, USA
| | - Elena Carnero-Montoro
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain.
- University of Granada, Granada, Spain.
| | - Marta E Alarcón-Riquelme
- GENYO. Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016, Granada, Spain.
- Institute for Environmental Medicine, Karolinska Institutet, 171 67, Solna, Sweden.
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7
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Yang Y, Chen X, Pan J, Ning H, Zhang Y, Bo Y, Ren X, Li J, Qin S, Wang D, Chen MM, Zhang Z. Pan-cancer single-cell dissection reveals phenotypically distinct B cell subtypes. Cell 2024:S0092-8674(24)00712-8. [PMID: 39047727 DOI: 10.1016/j.cell.2024.06.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 04/25/2024] [Accepted: 06/26/2024] [Indexed: 07/27/2024]
Abstract
Characterizing the compositional and phenotypic characteristics of tumor-infiltrating B cells (TIBs) is important for advancing our understanding of their role in cancer development. Here, we establish a comprehensive resource of human B cells by integrating single-cell RNA sequencing data of B cells from 649 patients across 19 major cancer types. We demonstrate substantial heterogeneity in their total abundance and subtype composition and observe immunoglobulin G (IgG)-skewness of antibody-secreting cell isotypes. Moreover, we identify stress-response memory B cells and tumor-associated atypical B cells (TAABs), two tumor-enriched subpopulations with prognostic potential, shared in a pan-cancer manner. In particular, TAABs, characterized by a high clonal expansion level and proliferative capacity as well as by close interactions with activated CD4 T cells in tumors, are predictive of immunotherapy response. Our integrative resource depicts distinct clinically relevant TIB subsets, laying a foundation for further exploration of functional commonality and diversity of B cells in cancer.
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Affiliation(s)
- Yu Yang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xueyan Chen
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Jieying Pan
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Huiheng Ning
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Yaojun Zhang
- State Key Laboratory of Oncology in South China, Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yufei Bo
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xianwen Ren
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Jiesheng Li
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Shishang Qin
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Dongfang Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China.
| | - Min-Min Chen
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China.
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8
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Jiang J, Yang M, Zhu H, Long D, He Z, Liu J, He L, Tan Y, Akbar AN, Reddy V, Zhao M, Long H, Wu H, Lu Q. CD4 +CD57 + senescent T cells as promoters of systemic lupus erythematosus pathogenesis and the therapeutic potential of senolytic BCL-2 inhibitor. Eur J Immunol 2024; 54:e2350603. [PMID: 38752316 DOI: 10.1002/eji.202350603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 03/23/2024] [Accepted: 03/28/2024] [Indexed: 07/07/2024]
Abstract
Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by persistent activation of immune cells and overproduction of autoantibodies. The accumulation of senescent T and B cells has been observed in SLE and other immune-mediated diseases. However, the exact mechanistic pathways contributing to this process in SLE remain incompletely understood. In this study, we found that in SLE patients: (1) the frequency of CD4+CD57+ senescent T cells was significantly elevated and positively correlated with disease activity; (2) the expression levels of B-lymphoma-2 (BCL-2) family and interferon-induced genes (ISGs) were significantly upregulated; and (3) in vitro, the cytokine IL-15 stimulation increased the frequency of senescent CD4+ T cells and upregulated the expression of BCL-2 family and ISGs. Further, treatment with ABT-263 (a senolytic BCL-2 inhibitor) in MRL/lpr mice resulted in decreased: (1) frequency of CD4+CD44hiCD62L-PD-1+CD153+ senescent CD4+ T cells; (2) frequency of CD19+CD11c+T-bet+ age-related B cells; (3) level of serum antinuclear antibody; (4) proteinuria; (5) frequency of Tfh cells; and (6) renal histopathological abnormalities. Collectively, these results indicated a dominant role for CD4+CD57+ senescent CD4+ T cells in the pathogenesis of SLE and senolytic BCL-2 inhibitor ABT-263 may be the potential treatment in ameliorating lupus phenotypes.
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Affiliation(s)
- Jiao Jiang
- Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, Jiang Su, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, Jiang Su, China
| | - Ming Yang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Huan Zhu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Di Long
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhenghao He
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Juan Liu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Liting He
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yixin Tan
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Arne N Akbar
- Division of Medicine, University College London, London, United Kingdom
| | - Venkat Reddy
- Division of Medicine, University College London, London, United Kingdom
| | - Ming Zhao
- Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, Jiang Su, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, Jiang Su, China
| | - Hai Long
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haijing Wu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qianjin Lu
- Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, Jiang Su, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, Jiang Su, China
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9
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Kalliolias GD, Papavassiliou AG. Advancing precision rheumatology through tissue and blood profiling. Nat Rev Rheumatol 2024; 20:391-392. [PMID: 38609647 DOI: 10.1038/s41584-024-01115-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Affiliation(s)
- George D Kalliolias
- Hospital for Special Surgery, Arthritis & Tissue Degeneration, New York, NY, USA
- Weill Cornell Medical College, Department of Medicine, New York, NY, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Athanasios G Papavassiliou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
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10
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Qi Q, Wang Y, Huang Y, Fan Y, Li X. PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data. BIOINFORMATICS (OXFORD, ENGLAND) 2024; 40:btae421. [PMID: 38924517 PMCID: PMC11236098 DOI: 10.1093/bioinformatics/btae421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/27/2024] [Accepted: 06/25/2024] [Indexed: 06/28/2024]
Abstract
MOTIVATION The annotation of cell types from single-cell transcriptomics is essential for understanding the biological identity and functionality of cellular populations. Although manual annotation remains the gold standard, the advent of automatic pipelines has become crucial for scalable, unbiased, and cost-effective annotations. Nonetheless, the effectiveness of these automatic methods, particularly those employing deep learning, significantly depends on the architecture of the classifier and the quality and diversity of the training datasets. RESULTS To address these limitations, we present a Pruning-enabled Gene-Cell Net (PredGCN) incorporating a Coupled Gene-Cell Net (CGCN) to enable representation learning and information storage. PredGCN integrates a Gene Splicing Net (GSN) and a Cell Stratification Net (CSN), employing a pruning operation (PrO) to dynamically tackle the complexity of heterogeneous cell identification. Among them, GSN leverages multiple statistical and hypothesis-driven feature extraction methods to selectively assemble genes with specificity for scRNA-seq data while CSN unifies elements based on diverse region demarcation principles, exploiting the representations from GSN and precise identification from different regional homogeneity perspectives. Furthermore, we develop a multi-objective Pareto pruning operation (Pareto PrO) to expand the dynamic capabilities of CGCN, optimizing the sub-network structure for accurate cell type annotation. Multiple comparison experiments on real scRNA-seq datasets from various species have demonstrated that PredGCN surpasses existing state-of-the-art methods, including its scalability to cross-species datasets. Moreover, PredGCN can uncover unknown cell types and provide functional genomic analysis by quantifying the influence of genes on cell clusters, bringing new insights into cell type identification and characterizing scRNA-seq data from different perspectives. AVAILABILITY AND IMPLEMENTATION The source code is available at https://github.com/IrisQi7/PredGCN and test data is available at https://figshare.com/articles/dataset/PredGCN/25251163.
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Affiliation(s)
- Qi Qi
- School of Artificial Intelligence, Jilin University, Changchun 130012, China
| | - Yunhe Wang
- School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China
| | - Yujian Huang
- College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu 610059, China
| | - Yi Fan
- School of Artificial Intelligence, Jilin University, Changchun 130012, China
| | - Xiangtao Li
- School of Artificial Intelligence, Jilin University, Changchun 130012, China
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11
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Nishide M, Shimagami H, Kumanogoh A. Single-cell analysis in rheumatic and allergic diseases: insights for clinical practice. Nat Rev Immunol 2024:10.1038/s41577-024-01043-3. [PMID: 38914790 DOI: 10.1038/s41577-024-01043-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2024] [Indexed: 06/26/2024]
Abstract
Since the advent of single-cell RNA sequencing (scRNA-seq) methodology, single-cell analysis has become a powerful tool for exploration of cellular networks and dysregulated immune responses in disease pathogenesis. Advanced bioinformatics tools have enabled the combined analysis of scRNA-seq data and information on various cell properties, such as cell surface molecular profiles, chromatin accessibility and spatial information, leading to a deeper understanding of pathology. This Review provides an overview of the achievements in single-cell analysis applied to clinical samples of rheumatic and allergic diseases, including rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, allergic airway diseases and atopic dermatitis, with an expanded scope beyond peripheral blood cells to include local diseased tissues. Despite the valuable insights that single-cell analysis has provided into disease pathogenesis, challenges remain in translating single-cell findings into clinical practice and developing personalized treatment strategies. Beyond understanding the atlas of cellular diversity, we discuss the application of data obtained in each study to clinical practice, with a focus on identifying biomarkers and therapeutic targets.
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Affiliation(s)
- Masayuki Nishide
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
- Department of Immunopathology, World Premier International Research Center Initiative (WPI), Immunology Frontier Research Center (IFReC), Osaka University, Suita, Osaka, Japan.
- Department of Advanced Clinical and Translational Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
| | - Hiroshi Shimagami
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Immunopathology, World Premier International Research Center Initiative (WPI), Immunology Frontier Research Center (IFReC), Osaka University, Suita, Osaka, Japan
- Department of Advanced Clinical and Translational Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
- Department of Immunopathology, World Premier International Research Center Initiative (WPI), Immunology Frontier Research Center (IFReC), Osaka University, Suita, Osaka, Japan.
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka, Japan.
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Osaka, Japan.
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Suita, Osaka, Japan.
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12
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Chen YC, Yu HH, Hu YC, Yang YH, Lin YT, Wang LC, Chiang BL, Lee JH. Peripheral blood cells RNA-seq identifies differentially expressed gene network linked to lymphocyte subsets alterations and active lupus nephritis associated with declines in renal function. Heliyon 2024; 10:e32303. [PMID: 38912505 PMCID: PMC11190669 DOI: 10.1016/j.heliyon.2024.e32303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/25/2024] Open
Abstract
Background The aim of this study was to investigate whether quantitative changes in lymphocyte subsets and gene expression in peripheral blood (PB) cells are related to the clinical manifestations and pathogenesis of lupus nephritis (LN). Methods We enrolled 95 pediatric-onset SLE patients with renal involvement who presented with 450 clinical episodes suspicious for LN flare. Percentages of lymphocyte subsets at each episode were determined. We stratified 55 of 95 patients as high or low subset group according to the median percentage of each lymphocyte subset and the association with changes in the eGFR (ΔeGFR) were analyzed. Peripheral blood bulk RNA-seq to identify differentially expressed genes (DEGs) in 9 active LN vs. 9 inactive LN patients and the DEG-derived network was constructed by Ingenuity Pathway Analysis (IPA). Results The mean ΔeGFR of low NK-low memory CD4+ T-high naive CD4+ T group (31.01 mL/min/1.73 m2) was significantly greater than that of high NK-high memory CD4+ T-low naive CD4+ T group (11.83 mL/min/1.73 m2; P = 0.0175). Kaplan-Meier analysis showed that the median time for ΔeGFR decline to mean ΔeGFR is approximately 10 years for high NK-high memory CD4+ T-low naive CD4+ T group and approximately 5 years for low NK-low memory CD4+ T-high naive CD4+ T group (log-rank test P = 0.0294). Conclusions Our study highlighted important connections between DEG-derived network, lymphocyte subset composition, and disease status of LN and GN. A novel scoring system based on lymphocyte subset proportions effectively stratified patients into groups with differential risks for declining renal function.
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Affiliation(s)
- Yi-Chen Chen
- Fu Jen Catholic University Hospital, New Taipei City, Taiwan, China
| | - Hsin-Hui Yu
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Ya-Chiao Hu
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Yao-Hsu Yang
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Yu-Tsan Lin
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Li-Chieh Wang
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Bor-Luen Chiang
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, China
| | - Jyh-Hong Lee
- Department of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, China
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13
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Park J, Lee J, Hur Y, Kim CJ, Kim HB, Um D, Kim DS, Lee JY, Park S, Park Y, Kim TK, Im SH, Kim SW, Kwok SK, Lee Y. ETV5 promotes lupus pathogenesis and follicular helper T cell differentiation by inducing osteopontin expression. Proc Natl Acad Sci U S A 2024; 121:e2322009121. [PMID: 38843187 PMCID: PMC11181037 DOI: 10.1073/pnas.2322009121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 05/07/2024] [Indexed: 06/18/2024] Open
Abstract
Follicular helper T (TFH) cells mediate germinal center reactions to generate high affinity antibodies against specific pathogens, and their excessive production is associated with the pathogenesis of systemic autoimmune diseases such as systemic lupus erythematosus (SLE). ETV5, a member of the ETS transcription factor family, promotes TFH cell differentiation in mice. In this study, we examined the role of ETV5 in the pathogenesis of lupus in mice and humans. T cell-specific deletion of Etv5 alleles ameliorated TFH cell differentiation and autoimmune phenotypes in lupus mouse models. Further, we identified SPP1 as an ETV5 target that promotes TFH cell differentiation in both mice and humans. Notably, extracellular osteopontin (OPN) encoded by SPP1 enhances TFH cell differentiation by activating the CD44-AKT signaling pathway. Furthermore, ETV5 and SPP1 levels were increased in CD4+ T cells from patients with SLE and were positively correlated with disease activity. Taken together, our findings demonstrate that ETV5 is a lupus-promoting transcription factor, and secreted OPN promotes TFH cell differentiation.
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Affiliation(s)
- Jiho Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Jongeun Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Yunjung Hur
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Chan-Johng Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Han Bit Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Dahun Um
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Da Som Kim
- The Rheumatism Research Center, Catholic Research Institute of Medical Science, College of Medicine, The Catholic University of Korea, Seoul06591, Republic of Korea
| | - June-Yong Lee
- Department of Microbiology and Immunology, Institute for Immunology and Immunological Diseases, and Brain Korea 21 PLUS Project for Medical Sciences, Yonsei University College of Medicine, Seoul03722, Republic of Korea
| | - Sungjun Park
- Department of Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon34114, Republic of Korea
| | - Youngjae Park
- Division of Rheumatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul06591, Republic of Korea
| | - Tae-Kyung Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
| | - Sin-Hyeog Im
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
- Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul03722, Republic of Korea
| | - Sung Won Kim
- Department of Otolaryngology-Head and Neck Surgery, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul06591, Republic of Korea
| | - Seung-Ki Kwok
- Division of Rheumatology, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul06591, Republic of Korea
| | - Yoontae Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk37673, Republic of Korea
- Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul03722, Republic of Korea
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14
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Radziszewska A, Peckham H, de Gruijter NM, Restuadi R, Wu WH, Jury EC, Rosser EC, Ciurtin C. Active juvenile systemic lupus erythematosus is associated with distinct NK cell transcriptional and phenotypic alterations. Sci Rep 2024; 14:13074. [PMID: 38844784 PMCID: PMC11156641 DOI: 10.1038/s41598-024-62325-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 05/15/2024] [Indexed: 06/09/2024] Open
Abstract
While adaptive immune responses have been studied extensively in SLE (systemic lupus erythematosus), there is limited and contradictory evidence regarding the contribution of natural killer (NK) cells to disease pathogenesis. There is even less evidence about the role of NK cells in the more severe phenotype with juvenile-onset (J)SLE. In this study, analysis of the phenotype and function of NK cells in a large cohort of JSLE patients demonstrated that total NK cells, as well as perforin and granzyme A expressing NK cell populations, were significantly diminished in JSLE patients compared to age- and sex-matched healthy controls. The reduction in NK cell frequency was associated with increased disease activity, and transcriptomic analysis of NK populations from active and low disease activity JSLE patients versus healthy controls confirmed that disease activity was the main driver of differential NK cell gene expression. Pathway analysis of differentially expressed genes revealed an upregulation of interferon-α responses and a downregulation of exocytosis in active disease compared to healthy controls. Further gene set enrichment analysis also demonstrated an overrepresentation of the apoptosis pathway in active disease. This points to increased propensity for apoptosis as a potential factor contributing to NK cell deficiency in JSLE.
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Affiliation(s)
- Anna Radziszewska
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK.
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK.
| | - Hannah Peckham
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Nina M de Gruijter
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Restuadi Restuadi
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK
| | - Wing Han Wu
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK
- NHS North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Elizabeth C Jury
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK
| | - Elizabeth C Rosser
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK.
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK.
| | - Coziana Ciurtin
- Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH, London, UK.
- Centre for Rheumatology Research, Division of Medicine, University College London, London, UK.
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15
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Balaji U, Rodríguez-Alcázar J, Balasubramanian P, Smitherman C, Baisch J, Pascual V, Gu J. Ragas: integration and enhanced visualization for single cell subcluster analysis. Bioinformatics 2024; 40:btae366. [PMID: 38867706 PMCID: PMC11209553 DOI: 10.1093/bioinformatics/btae366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 05/28/2024] [Accepted: 06/10/2024] [Indexed: 06/14/2024] Open
Abstract
SUMMARY Subcluster analysis is a powerful means to improve clustering and characterization of single cell RNA-Seq data. However, there are no existing tools to systematically integrate results from multiple subclusters, which creates hurdles for accurate data quantification, visualization, and interpretation in downstream analysis. To address this issue, we developed Ragas, an R package that integrates multi-level subclustering objects for streamlined analysis and visualization. A new data structure was implemented to seamlessly connect and assemble miscellaneous single cell analyses from different levels of subclustering, along with several new or enhanced visualization functions. Moreover, a re-projection algorithm was developed to integrate nearest-neighbor graphs from multiple subclusters in order to maximize their separability on the combined cell embeddings, which significantly improved the presentation of rare and homogeneous subpopulations. AVAILABILITY AND IMPLEMENTATION The Ragas package and its documentation can be accessed through https://github.com/jig4003/Ragas and its source code is also available at https://zenodo.org/records/11244921.
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Affiliation(s)
- Uthra Balaji
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Juan Rodríguez-Alcázar
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Preetha Balasubramanian
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Cynthia Smitherman
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Jeanine Baisch
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Virginia Pascual
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
| | - Jinghua Gu
- Drukier Institute for Children’s Health and Department of Pediatrics, Weill Cornell Medicine, New York, NY 10021, United States
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16
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Gómez-Bañuelos E, Goldman DW, Andrade V, Darrah E, Petri M, Andrade F. Uncoupling interferons and the interferon signature explains clinical and transcriptional subsets in SLE. Cell Rep Med 2024; 5:101569. [PMID: 38744279 PMCID: PMC11148857 DOI: 10.1016/j.xcrm.2024.101569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/06/2024] [Accepted: 04/22/2024] [Indexed: 05/16/2024]
Abstract
Systemic lupus erythematosus (SLE) displays a hallmark interferon (IFN) signature. Yet, clinical trials targeting type I IFN (IFN-I) have shown variable efficacy, and blocking IFN-II failed to treat SLE. Here, we show that IFN type levels in SLE vary significantly across clinical and transcriptional endotypes. Whereas skin involvement correlated with IFN-I alone, systemic features like nephritis associated with co-elevation of IFN-I, IFN-II, and IFN-III, indicating additive IFN effects in severe SLE. Notably, while high IFN-II/-III levels without IFN-I had a limited effect on disease activity, IFN-II was linked to IFN-I-independent transcriptional profiles (e.g., OXPHOS and CD8+GZMH+ cells), and IFN-III enhanced IFN-induced gene expression when co-elevated with IFN-I. Moreover, dysregulated IFNs do not explain the IFN signature in 64% of patients or clinical manifestations including cytopenia, serositis, and anti-phospholipid syndrome, implying IFN-independent endotypes in SLE. This study sheds light on mechanisms underlying SLE heterogeneity and the variable response to IFN-targeted therapies in clinical trials.
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Affiliation(s)
| | - Daniel W Goldman
- Division of Rheumatology, The Johns Hopkins School of Medicine, Baltimore, MD 21224
| | - Victoria Andrade
- Division of Rheumatology, The Johns Hopkins School of Medicine, Baltimore, MD 21224
| | - Erika Darrah
- Division of Rheumatology, The Johns Hopkins School of Medicine, Baltimore, MD 21224
| | - Michelle Petri
- Division of Rheumatology, The Johns Hopkins School of Medicine, Baltimore, MD 21224
| | - Felipe Andrade
- Division of Rheumatology, The Johns Hopkins School of Medicine, Baltimore, MD 21224.
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17
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Cooper L, Xu H, Polmear J, Kealy L, Szeto C, Pang ES, Gupta M, Kirn A, Taylor JJ, Jackson KJL, Broomfield BJ, Nguyen A, Gago da Graça C, La Gruta N, Utzschneider DT, Groom JR, Martelotto L, Parish IA, O'Keeffe M, Scharer CD, Gras S, Good-Jacobson KL. Type I interferons induce an epigenetically distinct memory B cell subset in chronic viral infection. Immunity 2024; 57:1037-1055.e6. [PMID: 38593796 PMCID: PMC11096045 DOI: 10.1016/j.immuni.2024.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 11/02/2023] [Accepted: 03/15/2024] [Indexed: 04/11/2024]
Abstract
Memory B cells (MBCs) are key providers of long-lived immunity against infectious disease, yet in chronic viral infection, they do not produce effective protection. How chronic viral infection disrupts MBC development and whether such changes are reversible remain unknown. Through single-cell (sc)ATAC-seq and scRNA-seq during acute versus chronic lymphocytic choriomeningitis viral infection, we identified a memory subset enriched for interferon (IFN)-stimulated genes (ISGs) during chronic infection that was distinct from the T-bet+ subset normally associated with chronic infection. Blockade of IFNAR-1 early in infection transformed the chromatin landscape of chronic MBCs, decreasing accessibility at ISG-inducing transcription factor binding motifs and inducing phenotypic changes in the dominating MBC subset, with a decrease in the ISG subset and an increase in CD11c+CD80+ cells. However, timing was critical, with MBCs resistant to intervention at 4 weeks post-infection. Together, our research identifies a key mechanism to instruct MBC identity during viral infection.
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Affiliation(s)
- Lucy Cooper
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Hui Xu
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Jack Polmear
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Liam Kealy
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Christopher Szeto
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, Australia
| | - Ee Shan Pang
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Mansi Gupta
- Department of Microbiology and Immunology, School of Medicine, Emory University, Atlanta, GA, USA
| | - Alana Kirn
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Justin J Taylor
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Benjamin J Broomfield
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Angela Nguyen
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Catarina Gago da Graça
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Nicole La Gruta
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Daniel T Utzschneider
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Joanna R Groom
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Luciano Martelotto
- Adelaide Centre for Epigenetics and the South Australian Immunogenomics Cancer Institute, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia; University of Melbourne Centre for Cancer Research, Victoria Comprehensive Cancer Centre, Melbourne, VIC, Australia
| | - Ian A Parish
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia; John Curtin School of Medical Research, ANU, Canberra, ACT, Australia
| | - Meredith O'Keeffe
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Christopher D Scharer
- Department of Microbiology and Immunology, School of Medicine, Emory University, Atlanta, GA, USA
| | - Stephanie Gras
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC, Australia
| | - Kim L Good-Jacobson
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia; Immunity Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.
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18
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Wang FQ, Shao L, Dang X, Wang YF, Chen S, Liu Z, Mao Y, Jiang Y, Hou F, Guo X, Li J, Zhang L, Sang Y, Zhao X, Ma R, Zhang K, Zhang Y, Yang J, Wen X, Liu J, Wei W, Zhang C, Li W, Qin X, Lei Y, Feng H, Yang X, She CH, Zhang C, Su H, Chen X, Yang J, Lau YL, Wu Q, Ban B, Song Q, Yang W. Unraveling transcriptomic signatures and dysregulated pathways in systemic lupus erythematosus across disease states. Arthritis Res Ther 2024; 26:99. [PMID: 38741185 DOI: 10.1186/s13075-024-03327-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 04/21/2024] [Indexed: 05/16/2024] Open
Abstract
OBJECTIVES This study aims to elucidate the transcriptomic signatures and dysregulated pathways in patients with Systemic Lupus Erythematosus (SLE), with a particular focus on those persisting during disease remission. METHODS We conducted bulk RNA-sequencing of peripheral blood mononuclear cells (PBMCs) from a well-defined cohort comprising 26 remission patients meeting the Low Lupus Disease Activity State (LLDAS) criteria, 76 patients experiencing disease flares, and 15 healthy controls. To elucidate immune signature changes associated with varying disease states, we performed extensive analyses, including the identification of differentially expressed genes and pathways, as well as the construction of protein-protein interaction networks. RESULTS Several transcriptomic features recovered during remission compared to the active disease state, including down-regulation of plasma and cell cycle signatures, as well as up-regulation of lymphocytes. However, specific innate immune response signatures, such as the interferon (IFN) signature, and gene modules involved in chromatin structure modification, persisted across different disease states. Drug repurposing analysis revealed certain drug classes that can target these persistent signatures, potentially preventing disease relapse. CONCLUSION Our comprehensive transcriptomic study revealed gene expression signatures for SLE in both active and remission states. The discovery of gene expression modules persisting in the remission stage may shed light on the underlying mechanisms of vulnerability to relapse in these patients, providing valuable insights for their treatment.
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Affiliation(s)
- Frank Qingyun Wang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Li Shao
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xiao Dang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Yong-Fei Wang
- School of Life and Health Sciences, School of Medicine, and Warshel Institute for Computational Biology, The Chinese University of Hong Kong - Shenzhen, Shenzhen, Guangdong, China
| | - Shuxiong Chen
- Medical Research Center, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Zhongyi Liu
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Yujing Mao
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yuping Jiang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Fei Hou
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xianghua Guo
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Jian Li
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Lili Zhang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yuting Sang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xuan Zhao
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Ruirui Ma
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Kai Zhang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yanfang Zhang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Jing Yang
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xiwu Wen
- Medical Research Center, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Jiong Liu
- Medical Research Center, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Wei Wei
- Medical Laboratory of Jining Medical University, Jining Medical University, Jining, Shandong, China
| | - Chuanpeng Zhang
- Medical Laboratory of Jining Medical University, Jining Medical University, Jining, Shandong, China
| | - Weiyang Li
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Xiao Qin
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yao Lei
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Feng
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Xingtian Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Chun Hing She
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Caicai Zhang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Huidong Su
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Xinxin Chen
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Jing Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Yu Lung Lau
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China
| | - Qingjun Wu
- Department of Rheumatology and Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bo Ban
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Qin Song
- Department of Rheumatology and Lupus Research Institute, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
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Filia A, Mitroulis I, Loukogiannaki C, Grigoriou M, Banos A, Sentis G, Giannouli S, Karali V, Athanasiadis E, Kokkinopoulos I, Boumpas DT. Single-cell transcriptomic analysis of hematopoietic progenitor cells from patients with systemic lupus erythematosus reveals interferon-inducible reprogramming in early progenitors. Front Immunol 2024; 15:1383358. [PMID: 38779657 PMCID: PMC11109438 DOI: 10.3389/fimmu.2024.1383358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024] Open
Abstract
Introduction Immune cells that contribute to the pathogenesis of systemic lupus erythematosus (SLE) derive from adult hematopoietic stem and progenitor cells (HSPCs) within the bone marrow (BM). For this reason, we reasoned that fundamental abnormalities in SLE can be traced to a BM-derived HSPC inflammatory signature. Methods BM samples from four SLE patients, six healthy controls, and two umbilical cord blood (CB) samples were used. CD34+ cells were isolated from BM and CB samples, and single-cell RNA-sequencing was performed. Results A total of 426 cells and 24,473 genes were used in the analysis. Clustering analysis resulted in seven distinct clusters of cell types. Mutually exclusive markers, which were characteristic of each cell type, were identified. We identified three HSPC subpopulations, one of which consisted of proliferating cells (MKI67 expressing cells), one T-like, one B-like, and two myeloid-like progenitor subpopulations. Differential expression analysis revealed i) cell cycle-associated signatures, in healthy BM of HSPC clusters 3 and 4 when compared with CB, and ii) interferon (IFN) signatures in SLE BM of HSPC clusters 3 and 4 and myeloid-like progenitor cluster 5 when compared with healthy controls. The IFN signature in SLE appeared to be deregulated following TF regulatory network analysis and differential alternative splicing analysis between SLE and healthy controls in HSPC subpopulations. Discussion This study revealed both quantitative-as evidenced by decreased numbers of non-proliferating early progenitors-and qualitative differences-characterized by an IFN signature in SLE, which is known to drive loss of function and depletion of HSPCs. Chronic IFN exposure affects early hematopoietic progenitors in SLE, which may account for the immune aberrancies and the cytopenias in SLE.
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Affiliation(s)
- Anastasia Filia
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Ioannis Mitroulis
- 1st Department of Internal Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, Greece
| | - Catherine Loukogiannaki
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Maria Grigoriou
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
- 1st Department of Internal Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, Greece
| | - Aggelos Banos
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - George Sentis
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Stavroula Giannouli
- 2nd Department of Internal Medicine, Ippokrateion Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Vassiliki Karali
- 4th Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Emmanouil Athanasiadis
- Medical Image and Signal Processing Laboratory, Department of Biomedical Engineering, University of West Attica, Athens, Greece
| | - Ioannis Kokkinopoulos
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Dimitrios T. Boumpas
- Laboratory of Autoimmunity and Inflammation, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation Academy of Athens, Athens, Greece
- 4th Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
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20
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Manion K, Muñoz-Grajales C, Kim M, Atenafu E, Faheem Z, Gladman DD, Urowitz M, Touma Z, Wither JE. Different Immunologic Profiles Are Associated With Distinct Clinical Phenotypes in Longitudinally Observed Patients With Systemic Lupus Erythematosus. Arthritis Rheumatol 2024; 76:726-738. [PMID: 38073017 DOI: 10.1002/art.42776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 10/31/2023] [Accepted: 12/06/2023] [Indexed: 02/08/2024]
Abstract
OBJECTIVE The aim of this study was to determine the immunologic profile associated with disease flares in patients with systemic lupus erythematosus (SLE) and to investigate the clinical significance of any differences observed between patients during and following a flare. METHODS Multiparameter flow cytometry was used to examine 47 immune populations within the peripheral blood of 16 healthy controls, 25 patients with clinically quiescent SLE, and 46 patients with SLE experiencing a flare at baseline and at 6- and 12-month follow-up visits. Unsupervised clustering was used to identify patients with similar immune profiles and to track changes over time. Parametric or nonparametric statistics were used when appropriate to assess the association of cellular phenotypes with clinical and laboratory parameters. RESULTS Five clusters of patients were identified that variably contained patients with active and quiescent SLE, and that had distinct clinical phenotypes. Patients characterized by increased T peripheral helper, activated B, and age-associated B cells were the most likely to be flaring at baseline, as well as the most likely to remain active or flare over the subsequent year if they acquired or retained this phenotype at follow-up. In contrast, patients who had increased T helper (Th) cells in the absence of B cell changes, or who had increased Th1 cells and innate immune populations, mostly developed quiescent SLE on follow-up. A significant proportion of patients with SLE had depletion of many immune populations at flare and only showed increases in these populations post-flare. CONCLUSION Cellular phenotyping of patients with SLE reveals several distinct immunologic profiles that may help to stratify patients with regard to prognosis and treatment.
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Affiliation(s)
- Kieran Manion
- Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Carolina Muñoz-Grajales
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Michael Kim
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Eshetu Atenafu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Zoha Faheem
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Dafna D Gladman
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, and University of Toronto, Toronto, Ontario, Canada
| | - Murray Urowitz
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, and University of Toronto, Toronto, Ontario, Canada
| | - Zahi Touma
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, and University of Toronto, Toronto, Ontario, Canada
| | - Joan E Wither
- Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, and University of Toronto, Toronto, Ontario, Canada
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21
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Wang H, Li Y, Yu Q, Wang M, Ainiwaer A, Tang N, Zheng X, Duolikun A, Deng B, Li J, Shen Y, Zhang C. Immunological Characteristics of Hepatic Dendritic Cells in Patients and Mouse Model with Liver Echinococcus multilocularis Infection. Trop Med Infect Dis 2024; 9:95. [PMID: 38787028 PMCID: PMC11125766 DOI: 10.3390/tropicalmed9050095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
The cestode Echinococcus multilocularis, which mainly dwells in the liver, leads to a serious parasitic liver disease called alveolar echinococcosis (AE). Despite the increased attention drawn to the immunosuppressive microenvironment formed by hepatic AE tissue, the immunological characteristics of hepatic dendritic cells (DCs) in the AE liver microenvironment have not been fully elucidated. Here, we profiled the immunophenotypic characteristics of hepatic DC subsets in both clinical AE patients and a mouse model. Single-cell RNA sequencing (scRNA-Seq) analysis of four AE patient specimens revealed that greater DC numbers were present within perilesional liver tissues and that the distributions of cDC and pDC subsets in the liver and periphery were different. cDCs highly expressed the costimulatory molecule CD86, the immune checkpoint molecule CD244, LAG3, CTLA4, and the checkpoint ligand CD48, while pDCs expressed these genes at low frequencies. Flow cytometric analysis of hepatic DC subsets in an E. multilocularis infection mouse model demonstrated that the number of cDCs significantly increased after parasite infection, and a tolerogenic phenotype characterized by a decrease in CD40 and CD80 expression levels was observed at an early stage, whereas an activated phenotype characterized by an increase in CD86 expression levels was observed at a late stage. Moreover, the expression profiles of major immune checkpoint molecules (CD244 and LAG3) and ligands (CD48) on hepatic DC subsets in a mouse model exhibited the same pattern as those in AE patients. Notably, the cDC and pDC subsets in the E. multilocularis infection group exhibited higher expression levels of PD-L1 and CD155 than those in the control group, suggesting the potential of these subsets to impair T cell function. These findings may provide valuable information for investigating the role of hepatic DC subsets in the AE microenvironment and guiding DC targeting treatments for AE.
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Affiliation(s)
- Hui Wang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medicine Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Yinshi Li
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Qian Yu
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Mingkun Wang
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Abidan Ainiwaer
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Na Tang
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Xuran Zheng
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Adilai Duolikun
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Bingqing Deng
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Jing Li
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
| | - Yujuan Shen
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention), World Health Organization Collaborating Centre for Tropical Disease, Shanghai 200025, China
| | - Chuanshan Zhang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medicine Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Basic Medical College, Xinjiang Medical University, Urumqi 830011, China
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22
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Schepps S, Xu J, Yang H, Mandel J, Mehta J, Tolotta J, Baker N, Tekmen V, Nikbakht N, Fortina P, Fuentes I, LaFleur B, Cho RJ, South AP. Skin in the game: a review of single-cell and spatial transcriptomics in dermatological research. Clin Chem Lab Med 2024; 0:cclm-2023-1245. [PMID: 38656304 DOI: 10.1515/cclm-2023-1245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/29/2024] [Indexed: 04/26/2024]
Abstract
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) are two emerging research technologies that uniquely characterize gene expression microenvironments on a cellular or subcellular level. The skin, a clinically accessible tissue composed of diverse, essential cell populations, serves as an ideal target for these high-resolution investigative approaches. Using these tools, researchers are assembling a compendium of data and discoveries in healthy skin as well as a range of dermatologic pathophysiologies, including atopic dermatitis, psoriasis, and cutaneous malignancies. The ongoing advancement of single-cell approaches, coupled with anticipated decreases in cost with increased adoption, will reshape dermatologic research, profoundly influencing disease characterization, prognosis, and ultimately clinical practice.
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Affiliation(s)
- Samuel Schepps
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Jonathan Xu
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Henry Yang
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Jenna Mandel
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Jaanvi Mehta
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Julianna Tolotta
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Nicole Baker
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Volkan Tekmen
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Neda Nikbakht
- Department of Dermatology and Cutaneous Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
- Department of Pharmacology, Physiology and Cancer Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
| | - Paolo Fortina
- Department of Pharmacology, Physiology and Cancer Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
- International Federation of Clinical Chemistry Working Group on Single Cell and Spatial Transcriptomics, Milan, Italy
| | - Ignacia Fuentes
- International Federation of Clinical Chemistry Working Group on Single Cell and Spatial Transcriptomics, Milan, Italy
- Departamento de Biología Celular y Molecular, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Directora de Investigación Fundación DEBRA Chile, Santiago, Chile
| | - Bonnie LaFleur
- International Federation of Clinical Chemistry Working Group on Single Cell and Spatial Transcriptomics, Milan, Italy
- R. Ken Coit College of Pharmacy, University of Arizona, University of Arizona Cancer Center, Tucson, AZ, USA
| | - Raymond J Cho
- International Federation of Clinical Chemistry Working Group on Single Cell and Spatial Transcriptomics, Milan, Italy
- Department of Dermatology, University of San Francisco, San Francisco, CA, USA
| | - Andrew P South
- Department of Pharmacology, Physiology and Cancer Biology, 6559 Thomas Jefferson University , Philadelphia, PA, USA
- International Federation of Clinical Chemistry Working Group on Single Cell and Spatial Transcriptomics, Milan, Italy
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23
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Okuzono Y, Miyakawa S, Itou T, Sagara M, Iwata M, Ishizuchi K, Sekiguchi K, Motegi H, Oyama M, Warude D, Kikukawa Y, Suzuki S. B-cell immune dysregulation with low soluble CD22 levels in refractory seronegative myasthenia gravis. Front Immunol 2024; 15:1382320. [PMID: 38711503 PMCID: PMC11071663 DOI: 10.3389/fimmu.2024.1382320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024] Open
Abstract
Myasthenia gravis (MG), primarily caused by acetylcholine receptor (AChR) autoantibodies, is a chronic autoimmune disorder causing severe muscle weakness and fatigability. In particular, seronegative MG constitutes 10%-15% of MG cases and presents diagnostic challenges especially in early-onset female patients who often show severe disease and resistance to immunosuppressive therapy. Furthermore, the immunopathology of seronegative MG remains unclear. Thus, in this study, we aimed to elucidate the pathogenic mechanism of seronegative MG using scRNA-seq analysis and plasma proteome analysis; in particular, we investigated the relationship between immune dysregulation status and disease severity in refractory seronegative MG. Employing single-cell RNA-sequencing and plasma proteome analyses, we analyzed peripheral blood samples from 30 women divided into three groups: 10 healthy controls, 10 early-onset AChR-positive MG, and 10 refractory early-onset seronegative MG patients, both before and after intravenous immunoglobulin treatment. The disease severity was evaluated using the MG-Activities of Daily Living (ADL), MG composite (MGC), and revised 15-item MG-Quality of Life (QOL) scales. We observed numerical abnormalities in multiple immune cells, particularly B cells, in patients with refractory seronegative MG, correlating with disease activity. Notably, severe MG cases had fewer regulatory T cells without functional abnormalities. Memory B cells were found to be enriched in peripheral blood cells compared with naïve B cells. Moreover, plasma proteome analysis indicated significantly lower plasma protein levels of soluble CD22, expressed in the lineage of B-cell maturation (including mature B cells and memory B cells), in refractory seronegative MG patients than in healthy donors or patients with AChR-positive MG. Soluble CD22 levels were correlated with disease severity, B-cell frequency, and RNA expression levels of CD22. In summary, this study elucidates the immunopathology of refractory seronegative MG, highlighting immune disorders centered on B cells and diminished soluble CD22 levels. These insights pave the way for novel MG treatment strategies focused on B-cell biology.
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Affiliation(s)
- Yuumi Okuzono
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Shuuichi Miyakawa
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Tatsuo Itou
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Masaki Sagara
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Masashi Iwata
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Kei Ishizuchi
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Koji Sekiguchi
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Haruhiko Motegi
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Munenori Oyama
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Dnyaneshwar Warude
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Yusuke Kikukawa
- Oncology Drug Discovery Unit Japan, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Shigeaki Suzuki
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
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24
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Wang CM, Jan Wu YJ, Zheng JW, Huang LY, Tan KP, Chen JY. T cell expressions of aberrant gene signatures and Co-inhibitory receptors (Co-IRs) as predictors of renal damage and lupus disease activity. J Biomed Sci 2024; 31:41. [PMID: 38650001 PMCID: PMC11034032 DOI: 10.1186/s12929-024-01024-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/01/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) is distinguished by an extensive range of clinical heterogeneity with unpredictable disease flares and organ damage. This research investigates the potential of aberrant signatures on T cell genes, soluble Co-IRs/ligands, and Co-IRs expression on T cells as biomarkers for lupus disease parameters. METHODS Comparative transcriptome profiling analysis of non-renal and end-stage renal disease (ESRD) phenotypes of SLE was performed using CD4 + and CD8 + cDNA microarrays of sorted T cells. Comparing the expression of Co-IRs on T cells and serum soluble mediators among healthy and SLE phenotypes. RESULTS SLE patients with ESRD were downregulated CD38, PLEK, interferon-γ, CX3CR1, FGFBP2, and SLCO4C1 transcripts on CD4 + and CD8 + T cells simultaneously and NKG7, FCRL6, GZMB/H, FcγRIII, ITGAM, Fas ligand, TBX21, LYN, granulysin, CCL4L1, CMKLR1, HLA-DRβ, KIR2DL3, and KLRD1 in CD8 T cells. Pathway enrichment and PPI network analyses revealed that the overwhelming majority of Differentially Expressed Genes (DEGs) have been affiliated with novel cytotoxic, antigen presentation, and chemokine-cell migration signature pathways. CD8 + GZMK + T cells that are varied in nature, including CD161 + Mucosal-associated invariant T (MAIT) cells and CD161- aged-associated T (Taa) cells and CD161-GZMK + GZMB + T cells might account for a higher level of GZMK in CD8 + T cells associated with ESRD. SLE patients have higher TIGIT + , PD1 + , and lower CD127 + cell percentages on CD4 + T cells, higher TIM3 + , TIGIT + , HLA-DR + cell frequency, and lower MFI expression of CD127, CD160 in CD8 T cells. Co-IRs expression in T cells was correlated with soluble PD-1, PDL-2, and TIM3 levels, as well as SLE disease activity, clinical phenotypes, and immune-therapy responses. CONCLUSION The signature of dysfunctional pathways defines a distinct immunity pattern in LN ESRD patients. Expression levels of Co-IRs in peripheral blood T cells and serum levels of soluble PD1/PDL-2/TIM3 can serve as biomarkers for evaluating clinical parameters and therapeutic responses.
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Affiliation(s)
- Chin-Man Wang
- Department of Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 5, Fu-Shin St. Kwei-Shan, Taoyuan, Republic of China
| | - Yeong-Jian Jan Wu
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, No. 5, Fu-Shin St. Kwei-Shan, Republic of China
| | - Jian-Wen Zheng
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, No. 5, Fu-Shin St. Kwei-Shan, Republic of China
| | - Li Yu Huang
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, No. 5, Fu-Shin St. Kwei-Shan, Republic of China
| | - Keng Poo Tan
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, No. 5, Fu-Shin St. Kwei-Shan, Republic of China
| | - Ji-Yih Chen
- Department of Medicine, Division of Allergy, Immunology and Rheumatology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, No. 5, Fu-Shin St. Kwei-Shan, Republic of China.
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25
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Dong C, Guo Y, Chen Z, Li T, Ji J, Sun C, Li J, Cao H, Xia Y, Xue Z, Gu X, Liang Q, Zhao R, Fu T, Ma J, Jiang S, Wu C, Fu Q, Guo G, Bao Y, Guo H, Yang J, Xu M, Zhang X, Sheng Z, Gu Z. Single-Cell Profiling of Bone Marrow B Cells and Early B Cell Developmental Disorders Associated With Systemic Lupus Erythematosus. Arthritis Rheumatol 2024; 76:599-613. [PMID: 37946666 DOI: 10.1002/art.42750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 10/18/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The peripheral B cell compartment is heavily disturbed in systemic lupus erythematosus (SLE), but whether B cells develop aberrantly in the bone marrow (BM) is largely unknown. METHODS We performed single-cell RNA/B cell receptor (BCR) sequencing and immune profiling of BM B cells and classified patients with SLE into two groups: early B cell (Pro-B and Pre-B) normal (EBnor) and EB defective/low (EBlo) groups. RESULTS The SLE-EBlo group exhibited more severe disease activity and proinflammatory status, overaction of type I interferon signaling and metabolic pathways within the B cell compartment, and aberrant BCR repertoires compared with the SLE-EBnor group. Moreover, in one patient with SLE who was initially classified in the SLE-EBlo group, early B cell deficiency and associated abnormalities were largely rectified in a second BM sample at the remission phase. CONCLUSION In summary, this study suggests that early B cell loss in BM defines a unique pathological state in a subset of patients with SLE that may play an active role in the dysregulated autoimmune responses.
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Affiliation(s)
- Chen Dong
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Yicheng Guo
- Zukerman Mind Brain Behavior Institute, Columbia University, New York
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York
| | - Zechuan Chen
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Teng Li
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Juan Ji
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Chi Sun
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong, China
| | - Jing Li
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Haixia Cao
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Yunfei Xia
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Zhonghui Xue
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xixi Gu
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Qian Liang
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Rui Zhao
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Ting Fu
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Jiaqiang Ma
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Shan Jiang
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Chunmei Wu
- Department of Rheumatology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qiong Fu
- Department of Rheumatology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Genkai Guo
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Yanfeng Bao
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Hua Guo
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
| | - Junling Yang
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Min Xu
- Research Center of Clinical Medicine, Research Center of Clinical Immunology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xiaoming Zhang
- Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Zizhang Sheng
- Zukerman Mind Brain Behavior Institute, Columbia University, New York
- Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York
| | - Zhifeng Gu
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong University, Nantong, China
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26
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Ambler WG, Kaplan MJ. Vascular damage in systemic lupus erythematosus. Nat Rev Nephrol 2024; 20:251-265. [PMID: 38172627 DOI: 10.1038/s41581-023-00797-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
Vascular disease is a major cause of morbidity and mortality in patients with systemic autoimmune diseases, particularly systemic lupus erythematosus (SLE). Although comorbid cardiovascular risk factors are frequently present in patients with SLE, they do not explain the high burden of premature vascular disease. Profound innate and adaptive immune dysregulation seems to be the primary driver of accelerated vascular damage in SLE. In particular, evidence suggests that dysregulation of type 1 interferon (IFN-I) and aberrant neutrophils have key roles in the pathogenesis of vascular damage. IFN-I promotes endothelial dysfunction directly via effects on endothelial cells and indirectly via priming of immune cells that contribute to vascular damage. SLE neutrophils are vasculopathic in part because of their increased ability to form immunostimulatory neutrophil extracellular traps. Despite improvements in clinical care, cardiovascular disease remains the leading cause of mortality among patients with SLE, and treatments that improve vascular outcomes are urgently needed. Improved understanding of the mechanisms of vascular injury in inflammatory conditions such as SLE could also have implications for common cardiovascular diseases, such as atherosclerosis and hypertension, and may ultimately lead to personalized therapeutic approaches to the prevention and treatment of this potentially fatal complication.
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Affiliation(s)
- William G Ambler
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Mariana J Kaplan
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA.
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27
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Goto M, Takahashi H, Yoshida R, Itamiya T, Nakano M, Nagafuchi Y, Harada H, Shimizu T, Maeda M, Kubota A, Toda T, Hatano H, Sugimori Y, Kawahata K, Yamamoto K, Shoda H, Ishigaki K, Ota M, Okamura T, Fujio K. Age-associated CD4 + T cells with B cell-promoting functions are regulated by ZEB2 in autoimmunity. Sci Immunol 2024; 9:eadk1643. [PMID: 38330141 DOI: 10.1126/sciimmunol.adk1643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 02/01/2024] [Indexed: 02/10/2024]
Abstract
Aging is a significant risk factor for autoimmunity, and many autoimmune diseases tend to onset during adulthood. We conducted an extensive analysis of CD4+ T cell subsets from 354 patients with autoimmune disease and healthy controls via flow cytometry and bulk RNA sequencing. As a result, we identified a distinct CXCR3midCD4+ effector memory T cell subset that expands with age, which we designated "age-associated T helper (THA) cells." THA cells exhibited both a cytotoxic phenotype and B cell helper functions, and these features were regulated by the transcription factor ZEB2. Consistent with the highly skewed T cell receptor usage of THA cells, gene expression in THA cells from patients with systemic lupus erythematosus reflected disease activity and was affected by treatment with a calcineurin inhibitor. Moreover, analysis of single-cell RNA sequencing data revealed that THA cells infiltrate damaged organs in patients with autoimmune diseases. Together, our characterization of THA cells may facilitate improved understanding of the relationship between aging and autoimmune diseases.
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Affiliation(s)
- Manaka Goto
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hideyuki Takahashi
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Ryochi Yoshida
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Takahiro Itamiya
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masahiro Nakano
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yasuo Nagafuchi
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hiroaki Harada
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Toshiaki Shimizu
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Meiko Maeda
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Akatsuki Kubota
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hiroaki Hatano
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yusuke Sugimori
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kimito Kawahata
- Department of Rheumatology and Allergology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Hirofumi Shoda
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Mineto Ota
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Tomohisa Okamura
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Keishi Fujio
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
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28
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Kuga T, Chiba A, Murayama G, Hosomi K, Nakagawa T, Yahagi Y, Noto D, Kusaoi M, Kawano F, Yamaji K, Tamura N, Miyake S. Enhanced GATA4 expression in senescent systemic lupus erythematosus monocytes promotes high levels of IFNα production. Front Immunol 2024; 15:1320444. [PMID: 38605949 PMCID: PMC11007064 DOI: 10.3389/fimmu.2024.1320444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
Enhanced interferon α (IFNα) production has been implicated in the pathogenesis of systemic lupus erythematosus (SLE). We previously reported IFNα production by monocytes upon activation of the stimulator of IFN genes (STING) pathway was enhanced in patients with SLE. We investigated the mechanism of enhanced IFNα production in SLE monocytes. Monocytes enriched from the peripheral blood of SLE patients and healthy controls (HC) were stimulated with 2'3'-cyclic GAMP (2'3'-cGAMP), a ligand of STING. IFNα positive/negative cells were FACS-sorted for RNA-sequencing analysis. Gene expression in untreated and 2'3'-cGAMP-stimulated SLE and HC monocytes was quantified by real-time PCR. The effect of GATA binding protein 4 (GATA4) on IFNα production was investigated by overexpressing GATA4 in monocytic U937 cells by vector transfection. Chromatin immunoprecipitation was performed to identify GATA4 binding target genes in U937 cells stimulated with 2'3'-cGAMP. Differentially expressed gene analysis of cGAS-STING stimulated SLE and HC monocytes revealed the enrichment of gene sets related to cellular senescence in SLE. CDKN2A, a marker gene of cellular senescence, was upregulated in SLE monocytes at steady state, and its expression was further enhanced upon STING stimulation. GATA4 expression was upregulated in IFNα-positive SLE monocytes. Overexpression of GATA4 enhanced IFNα production in U937 cells. GATA4 bound to the enhancer region of IFIT family genes and promoted the expressions of IFIT1, IFIT2, and IFIT3, which promote type I IFN induction. SLE monocytes with accelerated cellular senescence produced high levels of IFNα related to GATA4 expression upon activation of the cGAS-STING pathway.
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Affiliation(s)
- Taiga Kuga
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Asako Chiba
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Goh Murayama
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Kosuke Hosomi
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Tomoya Nakagawa
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Yoshiyuki Yahagi
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Daisuke Noto
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Makio Kusaoi
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Fuminori Kawano
- Graduate School of Health Sciences, Matsumoto University, Matsumoto, Nagano, Japan
| | - Ken Yamaji
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Naoto Tamura
- Department of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Sachiko Miyake
- Department of Immunology, Juntendo University Faculty of Medicine, Bunkyo-ku, Tokyo, Japan
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29
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Xu R, Zhang Y, Cao Q, Liao S, Tang Y, Zhuang Q. Imbalance of programmed cell death patterns mediated by dendritic cell subsets in systemic lupus erythematosus and lupus nephritis. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2024; 49:331-348. [PMID: 38970507 PMCID: PMC11208407 DOI: 10.11817/j.issn.1672-7347.2024.230508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Indexed: 07/08/2024]
Abstract
OBJECTIVES Abnormal programmed cell death in immune cells is associated with autoimmune diseases, but the patterns of programmed cell death in systemic lupus erythematosus (SLE) and especially lupus nephritis (LN) remain unclear. This study aims to explore the association between SLE, LN, and immune cell death patterns. METHODS Bulk RNA sequencing (bulk RNA-seq) and single-cell RNA sequencing (scRNA-seq) data were downloaded from the Gene Expression Omnibus (GEO) database. Bioinformatic analysis was conducted to explore the expression levels of genes related to 3 cell death patterns in peripheral blood mononuclear cells of SLE patients. Key cell subsets involved in the imbalance of cell death patterns were identified through scRNA-seq. Immunofluorescence was used to detect the expression levels of receptor interacting serine/threonine kinase 3 (RIPK3), mixed-lineage kinase domain-like protein (MLKL), phosphorylated MLKL (pMLKL), caspase 1 (CASP1), CD1c molecule (CD1C), C-type lectin domain containing 9A (CLEC9A), and X-C motif chemokine receptor 1 (XCR1) in dendritic cells (DC). scRNA-seq was performed on kidney tissues collected from LN patients and healthy controls (HC) at the Third Xiangya Hospital of Central South University, followed by bioinformatic analysis to identify key cell subsets involved in the imbalance of cell death patterns. Pseudotime analysis and ligand-receptor analysis were used to explore the differentiation direction and cell communication of different DC subsets. Transient transfection was used to transfect RAW264.7 cells with empty plasmid, empty plasmid+dsDNA (HSV-DNA), empty plasmid+200 μmol/L tert-butyl hydroperoxide (TBHP), stimulator of interferon genes (STING) shRNA plasmid, STING shRNA plasmid+dsDNA (HSV-DNA), and STING shRNA plasmid+200 μmol/L TBHP. Annexin V-mCherry and SYTOX Green staining were used to detect cell death in each group. Western blotting was used to detect the activation of CASP1, gasdermin D (GSDMD), RIPK3, and MLKL in each group. RESULTS Bioinformatic analysis showed an imbalance in 3 cell death patterns in SLE and LN patients: Pro-inflammatory pyroptosis and necroptosis were activated, while anti-inflammatory apoptosis was inhibited. The key cell subsets involved were DC subsets, particularly focusing on CLEC9A+cDC1. Immunofluorescence results showed that the expression levels of RIPK3, MLKL, and CASP1 in DCs were higher in the SLE group compared to the HC group. pMLKL and CASP1 expression levels in renal cDC1 marked by CLEC9A and XCR1 were higher in the LN group than in the HC group. Pseudotime analysis and ligand-receptor analysis suggested that the CLEC9A+cDC1 subset in LN kidney tissues originated from peripheral circulation. Annexin V-mCherry and SYTOX Green staining results showed that the number of dead cells decreased in the STING shRNA transfection group compared to the empty plasmid group in RAW264.7 cells. Western blotting results showed that the activation of CASP1, GSDMD, RIPK3, and MLKL was decreased in the STING shRNA transfection group compared to the empty plasmid group. CONCLUSIONS This study provides novel insights into the role of CLEC9A+cDC1 in the imbalance of cell death patterns in SLE and LN.
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Affiliation(s)
- Ruoyao Xu
- Organ Transplantation Center, Third Xiangya Hospital, Central South University, Changsha 410013.
| | - Ying Zhang
- Organ Transplantation Center, Third Xiangya Hospital, Central South University, Changsha 410013.
| | - Qingtai Cao
- Organ Transplantation Center, Third Xiangya Hospital, Central South University, Changsha 410013
| | - Sheng Liao
- Organ Transplantation Center, Third Xiangya Hospital, Central South University, Changsha 410013
| | - Youzhou Tang
- Department of Nephropathy and Rheumatology, Third Xiangya Hospital, Central South University, Changsha 410013.
| | - Quan Zhuang
- Organ Transplantation Center, Third Xiangya Hospital, Central South University, Changsha 410013.
- Research Center of National Health Commission on Transplantation Medical Engineering Technology, Changsha 410013, China.
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30
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Wang D, Ling J, Tan R, Wang H, Qu Y, Li X, Lin J, Zhang Q, Hu Q, Liu Z, Lu Z, Lin Y, Sun L, Wang D, Zhou M, Shi Z, Gao W, Ye H, Lin X. CD169 + classical monocyte as an important participant in Graves' ophthalmopathy through CXCL12-CXCR4 axis. iScience 2024; 27:109213. [PMID: 38439953 PMCID: PMC10910260 DOI: 10.1016/j.isci.2024.109213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/11/2023] [Accepted: 02/07/2024] [Indexed: 03/06/2024] Open
Abstract
Patients with Graves' disease (GD) can develop Graves' ophthalmopathy (GO), but the underlying pathological mechanisms driving this development remain unclear. In our study, which included patients with GD and GO, we utilized single-cell RNA sequencing (scRNA-seq) and multiplatform analyses to investigate CD169+ classical monocytes, which secrete proinflammatory cytokines and are expanded through activated interferon signaling. We found that CD169+ clas_mono was clinically significant in predicting GO progression and prognosis, and differentiated into CD169+ macrophages that promote inflammation, adipogenesis, and fibrosis. Our murine model of early-stage GO showed that CD169+ classical monocytes accumulated in orbital tissue via the Cxcl12-Cxcr4 axis. Further studies are needed to investigate whether targeting circulating monocytes and the Cxcl12-Cxcr4 axis could alleviate GO progression.
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Affiliation(s)
- Dongliang Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Jie Ling
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - RongQiang Tan
- The First People’s Hospital of Zhaoqing, Zhaoqing 526000, China
| | - Huishi Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Yixin Qu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Xingyi Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Jinshan Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Qikai Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Qiuling Hu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhong Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhaojing Lu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Yuheng Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Li Sun
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Dingqiao Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Ming Zhou
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Zhuoxing Shi
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Wuyou Gao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Huijing Ye
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Xianchai Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
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Horisberger A, Griffith A, Keegan J, Arazi A, Pulford J, Murzin E, Howard K, Hancock B, Fava A, Sasaki T, Ghosh T, Inamo J, Beuschel R, Cao Y, Preisinger K, Gutierrez-Arcelus M, Eisenhaure TM, Guthridge J, Hoover PJ, Dall'Era M, Wofsy D, Kamen DL, Kalunian KC, Furie R, Belmont M, Izmirly P, Clancy R, Hildeman D, Woodle ES, Apruzzese W, McMahon MA, Grossman J, Barnas JL, Payan-Schober F, Ishimori M, Weisman M, Kretzler M, Berthier CC, Hodgin JB, Demeke DS, Putterman C, Brenner MB, Anolik JH, Raychaudhuri S, Hacohen N, James JA, Davidson A, Petri MA, Buyon JP, Diamond B, Zhang F, Lederer JA, Rao DA. Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.14.575609. [PMID: 38293222 PMCID: PMC10827101 DOI: 10.1101/2024.01.14.575609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Lupus nephritis (LN) is a frequent manifestation of systemic lupus erythematosus, and fewer than half of patients achieve complete renal response with standard immunosuppressants. Identifying non-invasive, blood-based pathologic immune alterations associated with renal injury could aid therapeutic decisions. Here, we used mass cytometry immunophenotyping of peripheral blood mononuclear cells in 145 patients with biopsy-proven LN and 40 healthy controls to evaluate the heterogeneity of immune activation in patients with LN and to identify correlates of renal parameters and treatment response. Unbiased analysis identified 3 immunologically distinct groups of patients with LN that were associated with different patterns of histopathology, renal cell infiltrates, urine proteomic profiles, and treatment response at one year. Patients with enriched circulating granzyme B+ T cells at baseline showed more severe disease and increased numbers of activated CD8 T cells in the kidney, yet they had the highest likelihood of treatment response. A second group characterized primarily by a high type I interferon signature had a lower likelihood of response to therapy, while a third group appeared immunologically inactive by immunophenotyping at enrollment but with chronic renal injuries. Main immune profiles could be distilled down to 5 simple cytometric parameters that recapitulate several of the associations, highlighting the potential for blood immune profiling to translate to clinically useful non-invasive metrics to assess immune-mediated disease in LN.
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Wolf C, Lim EL, Mokhtari M, Kind B, Odainic A, Lara-Villacanas E, Koss S, Mages S, Menzel K, Engel K, Dückers G, Bernbeck B, Schneider DT, Siepermann K, Niehues T, Goetzke CC, Durek P, Minden K, Dörner T, Stittrich A, Szelinski F, Guerra GM, Massoud M, Bieringer M, de Oliveira Mann CC, Beltrán E, Kallinich T, Mashreghi MF, Schmidt SV, Latz E, Klughammer J, Majer O, Lee-Kirsch MA. UNC93B1 variants underlie TLR7-dependent autoimmunity. Sci Immunol 2024; 9:eadi9769. [PMID: 38207055 DOI: 10.1126/sciimmunol.adi9769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024]
Abstract
UNC93B1 is critical for trafficking and function of nucleic acid-sensing Toll-like receptors (TLRs) TLR3, TLR7, TLR8, and TLR9, which are essential for antiviral immunity. Overactive TLR7 signaling induced by recognition of self-nucleic acids has been implicated in systemic lupus erythematosus (SLE). Here, we report UNC93B1 variants (E92G and R336L) in four patients with early-onset SLE. Patient cells or mouse macrophages carrying the UNC93B1 variants produced high amounts of TNF-α and IL-6 and upon stimulation with TLR7/TLR8 agonist, but not with TLR3 or TLR9 agonists. E92G causes UNC93B1 protein instability and reduced interaction with TLR7, leading to selective TLR7 hyperactivation with constitutive type I IFN signaling. Thus, UNC93B1 regulates TLR subtype-specific mechanisms of ligand recognition. Our findings establish a pivotal role for UNC93B1 in TLR7-dependent autoimmunity and highlight the therapeutic potential of targeting TLR7 in SLE.
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Affiliation(s)
- Christine Wolf
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Ee Lyn Lim
- Max Planck Institute for Infection Biology, Berlin 10117, Germany
| | - Mohammad Mokhtari
- Gene Center, Systems Immunology, Ludwig-Maximilians-Universität Munich, Munich 81377, Germany
| | - Barbara Kind
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Alexandru Odainic
- Institute of Innate Immunity, University of Bonn, Bonn 53127, Germany
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Eusebia Lara-Villacanas
- Department of Pediatrics, Klinikum Dortmund, University Witten/Herdecke, Dortmund 44145, Germany
| | - Sarah Koss
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Simon Mages
- Gene Center, Systems Immunology, Ludwig-Maximilians-Universität Munich, Munich 81377, Germany
| | - Katharina Menzel
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Kerstin Engel
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Gregor Dückers
- Department of Pediatrics, Helios Klinik Krefeld, Krefeld 47805, Germany
| | - Benedikt Bernbeck
- Department of Pediatrics, Klinikum Dortmund, University Witten/Herdecke, Dortmund 44145, Germany
| | - Dominik T Schneider
- Department of Pediatrics, Klinikum Dortmund, University Witten/Herdecke, Dortmund 44145, Germany
| | | | - Tim Niehues
- Department of Pediatrics, Helios Klinik Krefeld, Krefeld 47805, Germany
| | - Carl Christoph Goetzke
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin 10178, Germany
| | - Pawel Durek
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
| | - Kirsten Minden
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
| | - Thomas Dörner
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
- Department of Medicine, Rheumatology and Clinical Immunology, Charite-Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Anna Stittrich
- Labor Berlin Charité-Vivantes GmbH, Department of Human Genetics, Berlin 13353, Germany
| | - Franziska Szelinski
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
- Department of Medicine, Rheumatology and Clinical Immunology, Charite-Universitätsmedizin Berlin, Berlin 10117, Germany
| | - Gabriela Maria Guerra
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
| | - Mona Massoud
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
| | - Markus Bieringer
- Department of Cardiology and Nephrology, HELIOS Klinikum Berlin-Buch, Berlin 13125, Germany
| | | | - Eduardo Beltrán
- Institute for Clinical Neuroimmunology, BioMedizinisches Zentrum, Ludwig-Maximilians-Universität Munich, Munich 82152, Germany
| | - Tilmann Kallinich
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin 10117, Germany
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin 10178, Germany
| | - Mir-Farzin Mashreghi
- Deutsches Rheuma-Forschungszentrum (DRFZ), an institute of the Leibniz Association, Berlin 10117, Germany
| | - Susanne V Schmidt
- Institute of Innate Immunity, University of Bonn, Bonn 53127, Germany
| | - Eicke Latz
- Institute of Innate Immunity, University of Bonn, Bonn 53127, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn 53175, Germany
| | - Johanna Klughammer
- Gene Center, Systems Immunology, Ludwig-Maximilians-Universität Munich, Munich 81377, Germany
| | - Olivia Majer
- Max Planck Institute for Infection Biology, Berlin 10117, Germany
| | - Min Ae Lee-Kirsch
- Department of Pediatrics, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
- University Center for Rare Diseases, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
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Sun Z, Gao Z, Xiang M, Feng Y, Wang J, Xu J, Wang Y, Liang J. Comprehensive analysis of lactate-related gene profiles and immune characteristics in lupus nephritis. Front Immunol 2024; 15:1329009. [PMID: 38455045 PMCID: PMC10917958 DOI: 10.3389/fimmu.2024.1329009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/12/2024] [Indexed: 03/09/2024] Open
Abstract
Objectives The most frequent cause of kidney damage in systemic lupus erythematosus (SLE) is lupus nephritis (LN), which is also a significant risk factor for morbidity and mortality. Lactate metabolism and protein lactylation might be related to the development of LN. However, there is still a lack of relative research to prove the hypothesis. Hence, this study was conducted to screen the lactate-related biomarkers for LN and analyze the underlying mechanism. Methods To identify differentially expressed genes (DEGs) in the training set (GSE32591, GSE127797), we conducted a differential expression analysis (LN samples versus normal samples). Then, module genes were mined using WGCNA concerning LN. The overlapping of DEGs, critical module genes, and lactate-related genes (LRGs) was used to create the lactate-related differentially expressed genes (LR-DEGs). By using a machine-learning algorithm, ROC, and expression levels, biomarkers were discovered. We also carried out an immune infiltration study based on biomarkers and GSEA. Results A sum of 1259 DEGs was obtained between LN and normal groups. Then, 3800 module genes in reference to LN were procured. 19 LR-DEGs were screened out by the intersection of DEGs, key module genes, and LRGs. Moreover, 8 pivotal genes were acquired via two machine-learning algorithms. Subsequently, 3 biomarkers related to lactate metabolism were obtained, including COQ2, COQ4, and NDUFV1. And these three biomarkers were enriched in pathways 'antigen processing and presentation' and 'NOD-like receptor signaling pathway'. We found that Macrophages M0 and T cells regulatory (Tregs) were associated with these three biomarkers as well. Conclusion Overall, the results indicated that lactate-related biomarkers COQ2, COQ4, and NDUFV1 were associated with LN, which laid a theoretical foundation for the diagnosis and treatment of LN.
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Affiliation(s)
- Zhan Sun
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhanyan Gao
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Mengmeng Xiang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yang Feng
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jie Wang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jinhua Xu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai Institute of Dermatology, Shanghai, China
| | - Yilun Wang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jun Liang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
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Jimenez-Uribe AP, Mangos S, Hahm E. Type I IFN in Glomerular Disease: Scarring beyond the STING. Int J Mol Sci 2024; 25:2497. [PMID: 38473743 PMCID: PMC10931919 DOI: 10.3390/ijms25052497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
The field of nephrology has recently directed a considerable amount of attention towards the stimulator of interferon genes (STING) molecule since it appears to be a potent driver of chronic kidney disease (CKD). STING and its activator, the cyclic GMP-AMP synthase (cGAS), along with intracellular RIG-like receptors (RLRs) and toll-like receptors (TLRs), are potent inducers of type I interferon (IFN-I) expression. These cytokines have been long recognized as part of the mechanism used by the innate immune system to battle viral infections; however, their involvement in sterile inflammation remains unclear. Mounting evidence pointing to the involvement of the IFN-I pathway in sterile kidney inflammation provides potential insights into the complex interplay between the innate immune system and damage to the most sensitive segment of the nephron, the glomerulus. The STING pathway is often cited as one cause of renal disease not attributed to viral infections. Instead, this pathway can recognize and signal in response to host-derived nucleic acids, which are also recognized by RLRs and TLRs. It is still unclear, however, whether the development of renal diseases depends on subsequent IFN-I induction or other processes involved. This review aims to explore the main endogenous inducers of IFN-I in glomerular cells, to discuss what effects autocrine and paracrine signaling have on IFN-I induction, and to identify the pathways that are implicated in the development of glomerular damage.
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Affiliation(s)
| | | | - Eunsil Hahm
- Department of Internal Medicine, Division of Nephrology, Rush University Medical Center, Chicago, IL 60612, USA; (A.P.J.-U.); (S.M.)
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Lien HJT, Pedersen TT, Jakobsen B, Flatberg A, Chawla K, Sætrom P, Fenstad MH. Single-cell resolution of longitudinal blood transcriptome profiles in rheumatoid arthritis, systemic lupus erythematosus and healthy control pregnancies. Ann Rheum Dis 2024; 83:300-311. [PMID: 38049980 PMCID: PMC10894842 DOI: 10.1136/ard-2023-224644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/10/2023] [Indexed: 12/06/2023]
Abstract
OBJECTIVES Comparative longitudinal analyses of cellular composition and peripheral blood gene expression in Rheumatoid arthritis (RA), systemic lupus erythematosus (SLE) and healthy pregnancies. METHODS In total, 335 whole blood samples from 84 RA, SLE and healthy controls before pregnancy, at each trimester, 6 weeks, 6 months and 12 months post partum were analysed. We combined bulk and single cell RNA analyses for cell-type estimation, validated by flow cytometry, before combining this in a cell-type adjusted analysis for an improved resolution of unrecognised gene expression changes associated with RA and SLE pregnancies. RESULTS Patients were well regulated throughout pregnancy, and few had pregnancy complications. In SLE, the interferon signature was augmented during pregnancy, and the pregnancy signature was continued post partum. An altered cell type composition strongly influences the profile. In the pregnancy signature, transcripts involved in galactosylation potentially altering the effector functions of autoantibodies became more evident. Several genes in the adjusted RA signature are expressed in mucosal associated invariant T cells. CONCLUSION We found distinct RA, SLE and pregnancy signatures, and no expression patterns could be attributed to medication or disease activity. Our results support the need for close postpartum follow-up of patients with SLE. Gene expression patterns in RA were closer to healthy controls than to SLE, and primarily became evident after cell-type adjustment. Adjusting for cell abundance unravelled gene expression signatures less associated with variation in cell-composition and highlighted genes with expression profiles associated with changes in specialised cell populations.
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Affiliation(s)
- Hilde Julie T Lien
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tina T Pedersen
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Norwegian National Advisory Unit on Pregnancy and Rheumatic Diseases, Department of Rheumatology, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Bente Jakobsen
- Norwegian National Advisory Unit on Pregnancy and Rheumatic Diseases, Department of Rheumatology, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Arnar Flatberg
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Genomics Core Facility, HF, Sentral Stab, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Konika Chawla
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- BioCore - Bioinformatics Core Facility, HF, Sentral stab, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Pål Sætrom
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mona H Fenstad
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Immunology and Transfusion Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
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Yasumizu Y, Takeuchi D, Morimoto R, Takeshima Y, Okuno T, Kinoshita M, Morita T, Kato Y, Wang M, Motooka D, Okuzaki D, Nakamura Y, Mikami N, Arai M, Zhang X, Kumanogoh A, Mochizuki H, Ohkura N, Sakaguchi S. Single-cell transcriptome landscape of circulating CD4 + T cell populations in autoimmune diseases. CELL GENOMICS 2024; 4:100473. [PMID: 38359792 PMCID: PMC10879034 DOI: 10.1016/j.xgen.2023.100473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/07/2023] [Accepted: 12/05/2023] [Indexed: 02/17/2024]
Abstract
CD4+ T cells are key mediators of various autoimmune diseases; however, their role in disease progression remains unclear due to cellular heterogeneity. Here, we evaluated CD4+ T cell subpopulations using decomposition-based transcriptome characterization and canonical clustering strategies. This approach identified 12 independent gene programs governing whole CD4+ T cell heterogeneity, which can explain the ambiguity of canonical clustering. In addition, we performed a meta-analysis using public single-cell datasets of over 1.8 million peripheral CD4+ T cells from 953 individuals by projecting cells onto the reference and cataloging cell frequency and qualitative alterations of the populations in 20 diseases. The analyses revealed that the 12 transcriptional programs were useful in characterizing each autoimmune disease and predicting its clinical status. Moreover, genetic variants associated with autoimmune diseases showed disease-specific enrichment within the 12 gene programs. The results collectively provide a landscape of single-cell transcriptomes of CD4+ T cell subpopulations involved in autoimmune disease.
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Affiliation(s)
- Yoshiaki Yasumizu
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan
| | - Daiki Takeuchi
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Faculty of Medicine, Osaka University, Osaka, Japan
| | - Reo Morimoto
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Yusuke Takeshima
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Tatsusada Okuno
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Makoto Kinoshita
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Takayoshi Morita
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yasuhiro Kato
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Min Wang
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Daisuke Motooka
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Daisuke Okuzaki
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
| | - Yamami Nakamura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Norihisa Mikami
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Masaya Arai
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
| | - Xuan Zhang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Atsushi Kumanogoh
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Center for Infectious Diseases for Education and Research, Osaka University, Osaka, Japan
| | - Hideki Mochizuki
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Osaka, Japan
| | - Naganari Ohkura
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Frontier Research in Tumor Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
| | - Shimon Sakaguchi
- Department of Experimental Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan; Department of Experimental Immunology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
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Luo C, Zha AH, Luo RY, Hu ZL, Shen WY, Dai RP. ProBDNF contributed to patrolling monocyte infiltration and renal damage in systemic lupus erythematosus. Clin Immunol 2024; 259:109880. [PMID: 38142902 DOI: 10.1016/j.clim.2023.109880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/07/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023]
Abstract
Monocyte aberrations have been increasingly recognized as contributors to renal damage in systemic lupus erythematosus (SLE), however, recognition of the underlying mechanisms and modulating strategies is at an early stage. Our studies have demonstrated that brain-derived neurotrophic factor precursor (proBDNF) drives the progress of SLE by perturbing antibody-secreting B cells, and proBDNF facilitates pro-inflammatory responses in monocytes. By utilizing peripheral blood from patients with SLE, GEO database and spontaneous MRL/lpr lupus mice, we demonstrated in the present study that CX3CR1+ patrolling monocytes (PMo) numbers were decreased in SLE. ProBDNF was specifically expressed in CX3CR1+ PMo and was closely correlated with disease activity and the degree of renal injury in SLE patients. In MRL/lpr mice, elevated proBDNF was found in circulating PMo and the kidney, and blockade of proBDNF restored the balance of circulating and kidney-infiltrating PMo. This blockade also led to the reversal of pro-inflammatory responses in monocytes and a noticeable improvement in renal damage in lupus mice. Overall, the results indicate that the upregulation of proBDNF in PMo plays a crucial role in their infiltration into the kidney, thereby contributing to nephritis in SLE. Targeting of proBDNF offers a potential therapeutic role in modulating monocyte-driven renal damage in SLE.
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Affiliation(s)
- Cong Luo
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China
| | - An-Hui Zha
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China
| | - Ru-Yi Luo
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China
| | - Zhao-Lan Hu
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China
| | - Wei-Yun Shen
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China.
| | - Ru-Ping Dai
- Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China; Anesthesiology Research Institute of Central South University, China.
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Danieli MG, Brunetto S, Gammeri L, Palmeri D, Claudi I, Shoenfeld Y, Gangemi S. Machine learning application in autoimmune diseases: State of art and future prospectives. Autoimmun Rev 2024; 23:103496. [PMID: 38081493 DOI: 10.1016/j.autrev.2023.103496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 11/29/2023] [Indexed: 04/30/2024]
Abstract
Autoimmune diseases are a group of disorders resulting from an alteration of immune tolerance, characterized by the formation of autoantibodies and the consequent development of heterogeneous clinical manifestations. Diagnosing autoimmune diseases is often complicated, and the available prognostic tools are limited. Machine learning allows us to analyze large amounts of data and carry out complex calculations quickly and with minimal effort. In this work, we examine the literature focusing on the use of machine learning in the field of the main systemic (systemic lupus erythematosus and rheumatoid arthritis) and organ-specific autoimmune diseases (type 1 diabetes mellitus, autoimmune thyroid, gastrointestinal, and skin diseases). From our analysis, interesting applications of machine learning emerged for developing algorithms useful in the early diagnosis of disease or prognostic models (risk of complications, therapeutic response). Subsequent studies and the creation of increasingly rich databases to be supplied to the algorithms will eventually guide the clinician in the diagnosis, allowing intervention when the pathology is still in an early stage and immediately directing towards a correct therapeutic approach.
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Affiliation(s)
- Maria Giovanna Danieli
- SOS Immunologia delle Malattie Rare e dei Trapianti. AOU delle Marche & Dipartimento di Scienze Cliniche e Molecolari, Università Politecnica delle Marche, via Tronto 10/A, 60126 Torrette di Ancona, Italy; Postgraduate School of Allergy and Clinical Immunology, Università Politecnica delle Marche, via Tronto 10/A, 60126 Ancona, Italy.
| | - Silvia Brunetto
- Operative Unit of Allergy and Clinical Immunology, Department of Clinical and Experimental Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
| | - Luca Gammeri
- Operative Unit of Allergy and Clinical Immunology, Department of Clinical and Experimental Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
| | - Davide Palmeri
- Postgraduate School of Allergy and Clinical Immunology, Università Politecnica delle Marche, via Tronto 10/A, 60126 Ancona, Italy
| | - Ilaria Claudi
- Postgraduate School of Allergy and Clinical Immunology, Università Politecnica delle Marche, via Tronto 10/A, 60126 Ancona, Italy
| | - Yehuda Shoenfeld
- Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, and Reichman University Herzliya, Israel.
| | - Sebastiano Gangemi
- Operative Unit of Allergy and Clinical Immunology, Department of Clinical and Experimental Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy.
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Li Y, Tang C, Vanarsa K, Thai N, Castillo J, Lea GAB, Lee KH, Kim S, Pedroza C, Wu T, Saxena R, Mok CC, Mohan C. Proximity extension assay proteomics and renal single cell transcriptomics uncover novel urinary biomarkers for active lupus nephritis. J Autoimmun 2024; 143:103165. [PMID: 38194790 DOI: 10.1016/j.jaut.2023.103165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/11/2024]
Abstract
OBJECTIVE To identify urinary biomarkers that can distinguish active renal involvement in Lupus Nephritis (LN), a severe manifestation of systemic lupus erythematosus (SLE). METHODS Urine from 117 subjects, comprised of inactive SLE, active non-renal lupus, active LN, and healthy controls, were subjected to Proximity Extension Assay (PEA) based comprehensive proteomics followed by ELISA validation in an independent, ethnically diverse cohort. Proteomic data is also cross-referenced to renal transcriptomic data to elucidate cellular origins of biomarkers. RESULTS Systems biology analyses revealed progressive activation of cytokine signaling, chemokine activity and coagulation pathways, with worsening renal disease. In addition to validating 30 previously reported biomarkers, this study uncovers several novel candidates. Following ELISA validation in an independent cohort of different ethnicity, the six most discriminatory biomarkers for active LN were urinary ICAM-2, FABP4, FASLG, IGFBP-2, SELE and TNFSF13B/BAFF, with ROC AUC ≥80%, with most correlating strongly with clinical disease activity. Transcriptomic analyses of LN kidneys mapped the likely origin of these proteins to intra-renal myeloid cells (CXCL16, IL-1RT2, TNFSF13B/BAFF), T/NK cells (FASLG), leukocytes (ICAM2) and endothelial cells (SELE). CONCLUSION In addition to confirming the diagnostic potential of urine ALCAM, CD163, MCP1, SELL, ICAM1, VCAM1, NGAL and TWEAK for active LN, this study adds urine ICAM-2, FABP4, FASLG, IGFBP-2, SELE, and TNFSF13B/BAFF as additional markers that warrant systematic validation in larger cross-sectional and longitudinal cohorts.
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Affiliation(s)
- Yaxi Li
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Chenling Tang
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Kamala Vanarsa
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Nga Thai
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Jessica Castillo
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | | | - Kyung Hyun Lee
- Center for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Soojin Kim
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Claudia Pedroza
- Center for Clinical Research and Evidence-Based Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Tianfu Wu
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA
| | - Ramesh Saxena
- Department of Internal Medicine, Division of Nephrology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Chi Chiu Mok
- Department of Medicine, Tuen Mun Hospital, New Territories, Hong Kong, China
| | - Chandra Mohan
- Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
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Arvidsson G, Czarnewski P, Johansson A, Raine A, Imgenberg-Kreuz J, Nordlund J, Nordmark G, Syvänen AC. Multimodal Single-Cell Sequencing of B Cells in Primary Sjögren's Syndrome. Arthritis Rheumatol 2024; 76:255-267. [PMID: 37610265 DOI: 10.1002/art.42683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/08/2023] [Accepted: 08/18/2023] [Indexed: 08/24/2023]
Abstract
OBJECTIVE B cells are important in the pathogenesis of primary Sjögren's syndrome (pSS). Patients positive for Sjögren's syndrome antigen A/Sjögren syndrome antigen B (SSA/SSB) autoantibodies are more prone to systemic disease manifestations and adverse outcomes. We aimed to determine the role of B cell composition, gene expression, and B cell receptor usage in pSS subgroups stratified for SSA/SSB antibodies. METHODS Over 230,000 B cells were isolated from peripheral blood of patients with pSS (n = 6 SSA-, n = 8 SSA+ single positive and n = 10 SSA/SSB+ double positive) and four healthy controls and processed for single-cell RNA sequencing (scRNA-seq) and single-cell variable, diversity, and joining (VDJ) gene sequencing (scVDJ-seq). RESULTS We show that SSA/SSB+ patients present the highest and lowest proportion of naïve and memory B cells, respectively, and the highest up-regulation of interferon-induced genes across all B cell subtypes. Differential usage of IGHV showed that IGHV1-69 and IGHV4-30-4 were more often used in all pSS subgroups compared with controls. Memory B cells from SSA/SSB+ patients displayed a higher proportion of cells with unmutated VDJ transcripts compared with other pSS patient groups and controls, indicating altered somatic hypermutation processes. Comparison with previous studies revealed heterogeneous clonotype pools, with little overlap in CDR3 sequences. Joint analysis using scRNA-seq and scVDJ-seq data allowed unsupervised stratification of patients with pSS and identified novel parameters that correlated to disease manifestations and antibody status. CONCLUSION We describe heterogeneity and molecular characteristics in B cells from patients with pSS, providing clues to intrinsic differences in B cells that affect the phenotype and outcome and allowing stratification of patients with pSS at improved resolution.
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Yin M, Zhang Y, Li X, Liu S, Huang J, Yu H, Li X. Adverse effects of gestational diabetes mellitus on fetal monocytes revealed by single-cell RNA sequencing. iScience 2024; 27:108637. [PMID: 38188508 PMCID: PMC10770529 DOI: 10.1016/j.isci.2023.108637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/18/2023] [Accepted: 12/01/2023] [Indexed: 01/09/2024] Open
Abstract
Gestational diabetes mellitus (GDM), the most prevalent metabolic disorder during pregnancy, has long-term risks of metabolic diseases in offspring. However, the underlying mechanisms remain unclear. Here, we analyzed single-cell transcriptional data of cord blood mononuclear cells (CBMCs) from fetuses of healthy and GDM mothers, peripheral blood mononuclear cells from children and adolescents, and coronary plaques myeloid cells from atherosclerosis. Our results demonstrated that monocytes in cord blood were characterized with down-regulated proinflammatory-related pathways and up-regulated proliferation-related pathways. And monocytes in cord blood from GDM mothers were featured with expanded CXCL8+IL1B+ subclusters, enhanced crosstalk with neutrophil granulocytes and augmented adhesive and phagocytic abilities. Interestingly, CXCL8+IL1B+ monocytes influenced by GDM had transcriptome similarity with those of coronary plaques myeloid cells from individuals with atherosclerotic cardiovascular disease. Collectively, our data reveal adverse impact of maternal GDM environment on fetal monocytes and propose potential mechanisms between maternal GDM and offspring atherosclerosis.
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Affiliation(s)
- Min Yin
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yan Zhang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xinyu Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Shanshan Liu
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Juan Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Section of Endocrinology, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Haibo Yu
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Engineering Research Center of Cell Therapy for Diabetes, Changsha, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
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López-Domínguez R, Villatoro-García JA, Marañón C, Goldman D, Petri M, Carmona-Sáez P, Alarcón-Riquelme M, Toro-Dominguez D. Immune and molecular landscape behind non-response to Mycophenolate Mofetil and Azathioprine in lupus nephritis therapy. RESEARCH SQUARE 2024:rs.3.rs-3783877. [PMID: 38260685 PMCID: PMC10802741 DOI: 10.21203/rs.3.rs-3783877/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Lupus nephritis (LN) represents one of the most severe complications of systemic lupus erythematosus, leading to end-stage kidney disease in worst cases. Current first-line therapies for LN, including mycophenolate mofetil (MMF) and azathioprine (AZA), fail to induce long-term remission in 60-70% of the patients, evidencing the urgent need to delve into the molecular knowledge-gap behind the non-response to these therapies. A longitudinal cohort of treated LN patients including clinical, cellular and transcriptomic data, was analyzed. Gene-expression signatures behind non-response to different drugs were revealed by differential expression analysis. Drug-specific non-response mechanisms and cell proportion differences were identified. Blood cell subsets mediating non-response were described using single-cell RNASeq data. We show that AZA and MMF non-response implicates different cells and regulatory functions. Mechanistic models were used to suggest add-on therapies to improve their current performance. Our results provide new insights into the molecular mechanisms associated with treatment failures in LN.
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Affiliation(s)
- Raúl López-Domínguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Juan Antonio Villatoro-García
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
| | - Concepción Marañón
- Department of Medical Genomics, Center for Genomics and Oncological Research (GENYO)
| | | | | | - Pedro Carmona-Sáez
- Department of Bioinformatics, Center for Genomics and Oncological Research (GENYO)
| | | | - Daniel Toro-Dominguez
- GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada
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Huang T, Pi C, Xu X, Feng Y, Zhang J, Gu H, Fang J. Effect of BAFF blockade on the B cell receptor repertoire and transcriptome in a mouse model of systemic lupus erythematosus. Front Immunol 2024; 14:1307392. [PMID: 38264661 PMCID: PMC10803406 DOI: 10.3389/fimmu.2023.1307392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
Introduction Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Anti-B-cell-activating factor (BAFF) therapy effectively depletes B cells and reduces SLE disease activity. This research aimed to evaluate the effect of BAFF blockade on B cell receptor (BCR) repertoire and gene expression. Methods Through next-generation sequencing, we analyzed gene expression and BCR repertoire in MRL/lpr mice that received long-term anti-BAFF therapy. Based on gene expression profiles, we predicted the relative proportion of immune cells using ImmuCellAI-mouse, validating our predictions via flow cytometry and FluoroSpot. Results The loss of BCR repertoire diversity and richness, along with increased clonality and differential frequency distribution of the immunoglobulin heavy chain variable (IGHV) segment gene usage, were observed in BAFF-blockade mice. Meanwhile, the distribution of complementarity-determining region 3 (CDR3) length and CDR3 amino acid usage remained unaffected. BAFF blockade resulted in extensive changes in gene expression, particularly that of genes related to B cells and immunoglobulins. Besides, the tumor necrosis factor (TNF)-α responses and interferon (IFN)-α/γ were downregulated, consistent with the decrease in IFN-γ and TNF-α serum levels following anti-BAFF therapy. In addition, BAFF blockade significantly reduced B cell subpopulations and plasmacytoid dendritic cells, and caused the depletion of antibody-secreting cells. Discussion Our comparative BCR repertoire and transcriptome analyses of MRL/lpr mice subjected to BAFF blockade provide innovative insights into the molecular pathophysiology of SLE.
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Affiliation(s)
- Tao Huang
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Chenyu Pi
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Xiaoqing Xu
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yan Feng
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jingming Zhang
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Hua Gu
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jianmin Fang
- School of Life Sciences and Technology, Tongji University, Shanghai, China
- Biomedical Research Center, Tongji University Suzhou Institute, Suzhou, Jiangsu, China
- Department of Neurology, Tongji Hospital, Tongji University, Shanghai, China
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Zhu DYD, Maurer DP, Castrillon C, Deng Y, Mohamed FAN, Ma M, Schmidt AG, Lingwood D, Carroll MC. Lupus-associated innate receptors drive extrafollicular evolution of autoreactive B cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.09.574739. [PMID: 38260501 PMCID: PMC10802414 DOI: 10.1101/2024.01.09.574739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
In systemic lupus erythematosus, recent findings highlight the extrafollicular (EF) pathway as prominent origin of autoantibody-secreting cells (ASCs). CD21loCD11c+ B cells, associated with aging, infection, and autoimmunity, are contributors to autoreactive EF ASCs but have an obscure developmental trajectory. To study EF kinetics of autoreactive B cell in tissue, we adoptively transferred WT and gene knockout B cell populations into the 564Igi mice - an autoreactive host enriched with autoantigens and T cell help. Time-stamped analyses revealed TLR7 dependence in early escape of peripheral B cell tolerance and establishment of a pre-ASC division program. We propose CD21lo cells as precursors to EF ASCs due to their elevated TLR7 sensitivity and proliferative nature. Blocking receptor function reversed CD21 loss and reduced effector cell generation, portraying CD21 as a differentiation initiator and a possible target for autoreactive B cell suppression. Repertoire analysis further delineated proto-autoreactive B cell selection and receptor evolution toward self-reactivity. This work elucidates receptor and clonal dynamics in EF development of autoreactive B cells, and establishes modular, native systems to probe mechanisms of autoreactivity.
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Affiliation(s)
- Danni Yi-Dan Zhu
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Harvard Graduate Program in Virology, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel P Maurer
- Harvard Graduate Program in Virology, Boston, MA 02115, USA
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Carlos Castrillon
- Department of Medicine, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Yixiang Deng
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | | | - Minghe Ma
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Aaron G Schmidt
- Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Daniel Lingwood
- Ragon Institute of Mass General, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Michael C Carroll
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
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Li Q, Yuan Z, Bahabayi A, Zhang Z, Zeng X, Kang R, Xu Q, Guan Z, Wang P, Liu C. Upregulation of CX3CR1 expression in circulating T cells of systemic lupus erythematosus patients as a reflection of autoimmune status through characterization of cytotoxic capacity. Int Immunopharmacol 2024; 126:111231. [PMID: 38016349 DOI: 10.1016/j.intimp.2023.111231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/11/2023] [Accepted: 11/12/2023] [Indexed: 11/30/2023]
Abstract
OBJECTIVE This study investigated CX3CR1 expression in human peripheral blood T lymphocytes and their subsets, exploring changes in SLE patients and its diagnostic potential. METHODS Peripheral blood samples from 31 healthy controls and 50 SLE patients were collected. RNA-Seq data from SLE patient PBMCs were used to analyze CX3CR1 expression in T cells. Flow cytometry determined CX3CR1-expressing T lymphocyte subset proportions in SLE patients and healthy controls. Subset composition and presence of GZMB, GPR56, and perforin in CX3CR1+ T lymphocytes were analyzed. T cell-clinical indicator correlations were assessed. ROC curves explored CX3CR1's diagnostic potential for SLE. RESULTS CX3CR1+CD8+ T cells exhibited higher GPR56, perforin, and GZMB expression than other T cell subsets. The proportion of CX3CR1+ was higher in TEMRA and lower in Tn and TCM. PMA activation reduced CX3CR1+ T cell proportions. Both RNA-Seq and flow cytometry revealed elevated CX3CR1+ T cell proportions in SLE patients. Significantly lower perforin+ and GPR56+ proportions were observed in CX3CR1+CD8+ T cells in SLE patients. CX3CR1+ T cells correlated with clinical indicators. CONCLUSION CX3CR1+ T cells display cytotoxic features, with heightened expression in CD8+ T cells, particularly in adult SLE patients. Increased CX3CR1 expression in SLE patient T cells suggests its potential as an adjunctive diagnostic marker for SLE.
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Affiliation(s)
- Qi Li
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zihang Yuan
- School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Ayibaota Bahabayi
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zhonghui Zhang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Xingyue Zeng
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Rui Kang
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Qinzhu Xu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Zhao Guan
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Pingzhang Wang
- Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China; Peking University Center for Human Disease Genomics, Peking University Health Science Center, Beijing, China
| | - Chen Liu
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
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Liu Z, Wei W, Zhang J, Yang X, Feng Z, Zhang B, Hou X. Single-cell transcriptional profiling reveals aberrant gene expression patterns and cell states in autoimmune diseases. Mol Immunol 2024; 165:68-81. [PMID: 38159454 DOI: 10.1016/j.molimm.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/07/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
Multiple sclerosis(MS), primary Sjögren syndrome (pSS), and systemic lupus erythematosus (SLE) share numerous clinical symptoms and serological characteristics. We analyzed 153550 cells of scRNA-seq data of 17 treatment-naive patients (5 MS, 5 pSS, and 7 SLE) and 10 healthy controls, and we examined the enrichment of biological processes, differentially expressed genes (DEGs), immune cell types, and their subpopulations, and cell-cell communication in peripheral blood mononuclear cells (PBMCs). The percentage of B cells, megakaryocytes, monocytes, and proliferating T cells presented significant changes in autoimmune diseases. The enrichment of cell types based on gene expression revealed an elevated monocyte. MIF, MK, and GALECTIN signaling networks were obvious differences in autoimmune diseases. Taken together, our analysis provides a comprehensive map of the cell types and states of ADs patients at the single-cell level to understand better the pathogenesis and treatment of these ADs.
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Affiliation(s)
- Zhenyu Liu
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Wujun Wei
- Center for Clinical Laboratory Diagnosis and Research, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Province, China
| | - Junning Zhang
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Xueli Yang
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Zhihui Feng
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Biao Zhang
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China
| | - Xianliang Hou
- Laboratory Central, Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin 541199, China.
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Wu Y, Weng C, Zhou Y, Zhu Q, Liu Y, Zheng J, Yang B, Cao W, Yuan L, Yang M, Deng D. A comprehensive exploration of the heterogeneity of immune cells in Han and Zang systemic lupus erythematosus patients via single-cell RNA sequencing. Genomics 2024; 116:110770. [PMID: 38128704 DOI: 10.1016/j.ygeno.2023.110770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 11/16/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023]
Abstract
Systemic Lupus Erythematosus (SLE) is an autoimmune sickness with unclear pathogenesis. The goal of this research was to reveal the heterogeneity of immune cells in SLE patients of Han and Zang nationality by single-cell RNA sequencing (scRNA-seq) and bioinformatics profiling. METHODS A total of 94,102 peripheral blood mononuclear cells (PBMCs) from six volunteers with SLE (3 Zang, 3 Han) and six healthy controls were first conducted through scRNA-seq analysis. The immune cell subsets in the pathogenesis of SLE were analyzed as well. Real-time quantitative PCR (RT-qPCR) was applied to confirm the results of sc-RNA seq analysis. RESULTS For the Tibetan samples, the ratios of Naïve CD4 RPS4Y1 cells, Naïve CD4 cells, Memory BC CD24 and Memory BC differed significantly between the SLE and control samples, while that of CD8 CTL MAL cells was significantly different between the two groups in Han nationality samples. Variable differentiation states of CD8 CTL MAL cells, CD8 CTL GZMK cells, and Naïve CD4 cells were detected through pseudotime analysis. Moreover, T-cell receptor (TCR) abundance was notably higher in Tibetan SLE specimens than that in controls, while B-cell receptor (BCR) abundance in Tibetan and Han samples was higher than in control groups. CONCLUSIONS In summary, the immune cellular heterogeneity of SLE patients both Han and Zang nationality was explored based on various bioinformatics approaches, providing new perspectives for immunological characteristics of SLE among different ethnic groups.
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Affiliation(s)
- Yongzhuo Wu
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Chongjun Weng
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, PR China
| | - Yali Zhou
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Qinghuan Zhu
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Yingying Liu
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Junjuan Zheng
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, PR China
| | - Binbin Yang
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Wenting Cao
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Limei Yuan
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China
| | - Meng Yang
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China; Department of Dermatology, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, PR China
| | - Danqi Deng
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, PR China.
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Velayutham B, Padhi S, Devi S, Patra S, Panigrahi C, Ramasubbu MK, Kumar R, Raheman S. Immunohistochemical expression of perforin in adult systemic lupus erythematosus associated macrophage activation syndrome: Clinicohematological correlation and literature review. Lupus 2024; 33:26-39. [PMID: 38069452 DOI: 10.1177/09612033231221414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
OBJECTIVE To study the bone marrow (BM) immunohistomorphological characteristics in adult systemic lupus erythematosus (SLE) associated macrophage activation syndrome (SLE-MAS). MATERIALS AND METHODS Immunohistochemical (IHC) expression of CD3, CD8, perforin (PFN), and CD163 was studied on BM trephine biopsies from 30 cytopenic adult SLE cases (male: female = 1:5, age; 24 years, range; 19-32) and compared them with ten age matched controls. Clinicopathological parameters were compared among the cases likely (L) or unlikely (U) to have MAS using probability scoring criteria. The best cut off laboratory parameters to discriminate between the two were obtained through receiver operator curve (ROC) analysis. RESULTS MAS occurred in 12/30 (40%) cases and was more commonly associated with prior immunosuppressive therapy (p = .07), ≥ 3 system involvement (p = .09), lower fibrinogen (p < .01), increased triglyceride (p = .002), increased BM hemophagocytosis (p = .002), and higher MAS score [185 (176-203) vs. 105 (77-119), p < .01] than MAS-U subgroup. Although PFN+CD8+ T lymphocytes significantly decreased among cases than controls (p < .05), it was comparable between MAS-L and MAS-U subgroups. Fibrinogen (< 2.4 g/L, AUC; 0.93, p < .01), hemophagocytosis score (> 1.5, AUC; 0.71, p = .03), and an MAS probability score of ≥ 164 (AUC; 1, p < .01) discriminated MAS from those without MAS. CONCLUSION We noted a decrease in perforin mediated CD8 + T cell cytotoxicity in SLE. Immunohistochemical demonstration of the same along with histiocytic hemophagocytosis on BM biopsy may be useful adjunct in early diagnosis and management of MAS in SLE.
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Affiliation(s)
- Bakialakshmi Velayutham
- Department of Pathology with Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Somanath Padhi
- Department of Pathology with Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Sujata Devi
- Department of General Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Susama Patra
- Department of Pathology with Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Chinmayee Panigrahi
- Department of Pathology with Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Mathan Kumar Ramasubbu
- Department of Pharmacology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Rajesh Kumar
- Department of General Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
- Department of General Medicine, All India Institute of Medical Sciences, Deoghar, Jharkhand, India
| | - Samiur Raheman
- Department of Pathology with Laboratory Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India
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Reyes RA, Batugedara G, Dutta P, Reers AB, Garza R, Ssewanyana I, Jagannathan P, Feeney ME, Greenhouse B, Bol S, Ay F, Bunnik EM. Atypical B cells consist of subsets with distinct functional profiles. iScience 2023; 26:108496. [PMID: 38098745 PMCID: PMC10720271 DOI: 10.1016/j.isci.2023.108496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/30/2023] [Accepted: 11/16/2023] [Indexed: 12/17/2023] Open
Abstract
Atypical B cells are a population of activated B cells that are commonly enriched in individuals with chronic immune activation but are also part of a normal immune response to infection or vaccination. To better define the role of atypical B cells in the human adaptive immune response, we performed single-cell sequencing of transcriptomes, cell surface markers, and B cell receptors in individuals with chronic exposure to the malaria parasite Plasmodium falciparum, a condition known to lead to accumulation of circulating atypical B cells. We identified three previously uncharacterized populations of atypical B cells with distinct transcriptional and functional profiles and observed marked differences among these three subsets in their ability to produce immunoglobulin G upon T-cell-dependent activation. Our findings help explain the conflicting observations in prior studies regarding the function of atypical B cells and highlight their different roles in the adaptive immune response in chronic inflammatory conditions.
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Affiliation(s)
- Raphael A. Reyes
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Gayani Batugedara
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Paramita Dutta
- Centers for Cancer Immunotherapy and Autoimmunity, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
| | - Ashley B. Reers
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Rolando Garza
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Isaac Ssewanyana
- Infectious Disease Research Collaboration, Kampala, Uganda
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Prasanna Jagannathan
- Department of Medicine, Division of Infectious Diseases, Stanford University, Stanford, CA 94305, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Margaret E. Feeney
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, USA
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA 94110, USA
| | - Bryan Greenhouse
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, USA
| | - Sebastiaan Bol
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Ferhat Ay
- Centers for Cancer Immunotherapy and Autoimmunity, La Jolla Institute for Immunology, La Jolla, CA 92037, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | - Evelien M. Bunnik
- Department of Microbiology, Immunology and Molecular Genetics, Long School of Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
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50
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Kwon G, Wiedemann A, Steinheuer LM, Stefanski AL, Szelinski F, Racek T, Frei AP, Hatje K, Kam-Thong T, Schubert D, Schindler T, Dörner T, Thurley K. Transcriptional profiling upon T cell stimulation reveals down-regulation of inflammatory pathways in T and B cells in SLE versus Sjögren's syndrome. NPJ Syst Biol Appl 2023; 9:62. [PMID: 38102122 PMCID: PMC10724199 DOI: 10.1038/s41540-023-00319-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/30/2023] [Indexed: 12/17/2023] Open
Abstract
Systemic lupus erythematosus (SLE) and primary Sjögren's syndrome (pSS) share clinical as well as pathogenic similarities. Although previous studies suggest various abnormalities in different immune cell compartments, dedicated cell-type specific transcriptomic signatures are often masked by patient heterogeneity. Here, we performed transcriptional profiling of isolated CD4, CD8, CD16 and CD19 lymphocytes from pSS and SLE patients upon T cell stimulation, in addition to a steady-state condition directly after blood drawing, in total comprising 581 sequencing samples. T cell stimulation, which induced a pronounced inflammatory response in all four cell types, gave rise to substantial re-modulation of lymphocyte subsets in the two autoimmune diseases compared to healthy controls, far exceeding the transcriptomic differences detected at steady-state. In particular, we detected cell-type and disease-specific down-regulation of a range of pro-inflammatory cytokine and chemokine pathways. Such differences between SLE and pSS patients are instrumental for selective immune targeting by future therapies.
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Affiliation(s)
- Gino Kwon
- Systems Biology of Inflammation, German Rheumatism Research Center, a Leibniz-Institute, Berlin, Germany
| | - Annika Wiedemann
- Rheumatology and Clinical Immunology, Department of Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lisa M Steinheuer
- Biomathematics Division, Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany
| | - Ana-Luisa Stefanski
- Rheumatology and Clinical Immunology, Department of Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Franziska Szelinski
- Rheumatology and Clinical Immunology, Department of Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Tomas Racek
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Andreas Philipp Frei
- Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Klas Hatje
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Tony Kam-Thong
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - David Schubert
- Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Thomas Schindler
- Product Development Immunology, F. Hoffmann-La Roche AG, Basel, Switzerland
| | - Thomas Dörner
- Rheumatology and Clinical Immunology, Department of Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Kevin Thurley
- Systems Biology of Inflammation, German Rheumatism Research Center, a Leibniz-Institute, Berlin, Germany.
- Biomathematics Division, Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany.
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