1
|
Yamamoto Y, Shirai Y, Edahiro R, Kumanogoh A, Okada Y. Large-scale cross-trait genetic analysis highlights shared genetic backgrounds of autoimmune diseases. Immunol Med 2024:1-10. [PMID: 39171621 DOI: 10.1080/25785826.2024.2394258] [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: 06/25/2024] [Accepted: 08/15/2024] [Indexed: 08/23/2024] Open
Abstract
Disorders associated with the immune system burden multiple organs, although the shared biology exists across the diseases. Preceding family-based studies reveal that immune diseases are heritable to varying degrees, providing the basis for immunogenomics. The recent cost reduction in genetic analysis intensively promotes biobank-scale studies and the development of frameworks for statistical genetics. The accumulating multi-layer omics data, including genome-wide association studies (GWAS) and RNA-sequencing at single-cell resolution, enable us to dissect the genetic backgrounds of immune-related disorders. Although autoimmune and allergic diseases are generally categorized into different disease categories, epidemiological studies reveal the high incidence of autoimmune and allergic disease complications, suggesting the shared genetics and biology between the disease categories. Biobank resources and consortia cover multiple immune-related disorders to accumulate phenome-wide associations of genetic variants and enhance researchers to analyze the shared and heterogeneous genetic backgrounds. The emerging post-GWAS and integrative multi-omics analyses provide genetic and biological insights into the multicategorical disease associations.
Collapse
Affiliation(s)
- Yuji Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuya Shirai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Immunopathology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Japan
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Japan
- Japan Agency for Medical Research and Development, Core Research for Evolutional Science and Technology (AMED-CREST), Tokyo, Japan
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- RIKEN Center for Integrative Medical Sciences, Laboratory for Systems Genetics, Yokohama, Japan
- Center for Infectious Diseases for Education and Research (CiDER), Osaka University, Suita, Japan
- Center for Advanced Modalities and DDS (CAMaD), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Japan
| |
Collapse
|
2
|
Strober BJ, Zhang MJ, Amariuta T, Rossen J, Price AL. Fine-mapping causal tissues and genes at disease-associated loci. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.11.01.23297909. [PMID: 37961337 PMCID: PMC10635248 DOI: 10.1101/2023.11.01.23297909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Heritable diseases often manifest in a highly tissue-specific manner, with different disease loci mediated by genes in distinct tissues or cell types. We propose Tissue-Gene Fine-Mapping (TGFM), a fine-mapping method that infers the posterior probability (PIP) for each gene-tissue pair to mediate a disease locus by analyzing GWAS summary statistics (and in-sample LD) and leveraging eQTL data from diverse tissues to build cis-predicted expression models; TGFM also assigns PIPs to causal variants that are not mediated by gene expression in assayed genes and tissues. TGFM accounts for both co-regulation across genes and tissues and LD between SNPs (generalizing existing fine-mapping methods), and incorporates genome-wide estimates of each tissue's contribution to disease as tissue-level priors. TGFM was well-calibrated and moderately well-powered in simulations; unlike previous methods, TGFM was able to attain correct calibration by modeling uncertainty in cis-predicted expression models. We applied TGFM to 45 UK Biobank diseases/traits (average N = 316K) using eQTL data from 38 GTEx tissues. TGFM identified an average of 147 PIP > 0.5 causal genetic elements per disease/trait, of which 11% were gene-tissue pairs. Implicated gene-tissue pairs were concentrated in known disease-critical tissues, and causal genes were strongly enriched in disease-relevant gene sets. Causal gene-tissue pairs identified by TGFM recapitulated known biology (e.g., TPO-thyroid for Hypothyroidism), but also included biologically plausible novel findings (e.g., SLC20A2-artery aorta for Diastolic blood pressure). Further application of TGFM to single-cell eQTL data from 9 cell types in peripheral blood mononuclear cells (PBMC), analyzed jointly with GTEx tissues, identified 30 additional causal gene-PBMC cell type pairs at PIP > 0.5-primarily for autoimmune disease and blood cell traits, including the biologically plausible example of CD52 in classical monocyte cells for Monocyte count. In conclusion, TGFM is a robust and powerful method for fine-mapping causal tissues and genes at disease-associated loci.
Collapse
Affiliation(s)
- Benjamin J. Strober
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Martin Jinye Zhang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Tiffany Amariuta
- Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jordan Rossen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alkes L. Price
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
3
|
Zhu X, Chen Y, Yin Z, Zhang Y, Shen Y, Dai D, Lin X, Zou LH, Shen N, Ye Z, Ding H, Hou G. Novel potential lncRNA biomarker in B cells indicates essential pathogenic pathway activation in patients with SLE. Lupus Sci Med 2024; 11:e001065. [PMID: 38599668 PMCID: PMC11015226 DOI: 10.1136/lupus-2023-001065] [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: 09/28/2023] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
OBJECTIVES Systemic lupus erythematosus (SLE) is a highly heterogeneous disease, and B cell abnormalities play a central role in the pathogenesis of SLE. Long non-coding RNAs (lncRNAs) have also been implicated in the pathogenesis of SLE. The expression of lncRNAs is finely regulated and cell-type dependent, so we aimed to identify B cell-expressing lncRNAs as biomarkers for SLE, and to explore their ability to reflect the status of SLE critical pathway and disease activity. METHODS Weighted gene coexpression network analysis (WGCNA) was used to cluster B cell-expressing genes of patients with SLE into different gene modules and relate them to clinical features. Based on the results of WGCNA, candidate lncRNA levels were further explored in public bulk and single-cell RNA-sequencing data. In another independent cohort, the levels of the candidate were detected by RT-qPCR and the correlation with disease activity was analysed. RESULTS WGCNA analysis revealed one gene module significantly correlated with clinical features, which was enriched in type I interferon (IFN) pathway. Among non-coding genes in this module, lncRNA RP11-273G15.2 was differentially expressed in all five subsets of B cells from patients with SLE compared with healthy controls and other autoimmune diseases. RT-qPCR validated that RP11-273G15.2 was highly expressed in SLE B cells and positively correlated with IFN scores (r=0.7329, p<0.0001) and disease activity (r=0.4710, p=0.0005). CONCLUSION RP11-273G15.2 could act as a diagnostic and disease activity monitoring biomarker for SLE, which might have the potential to guide clinical management.
Collapse
Affiliation(s)
- Xinyi Zhu
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Yashuo Chen
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, Guangdong, China
| | - Zhihua Yin
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, Guangdong, China
| | - Yutong Zhang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Yiwei Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Dai Dai
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Xiaojing Lin
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, Guangdong, China
| | - Ling-Hua Zou
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, Guangdong, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Zhizhong Ye
- Shenzhen Futian Hospital for Rheumatic Diseases, Shenzhen, Guangdong, China
| | - Huihua Ding
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| | - Guojun Hou
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai, China
| |
Collapse
|
4
|
de Vos-Hillebrand L, Fietz S, Hillebrand P, Kulcsár Z, Diop MY, Hollick S, Maas AP, Strieth S, Landsberg J, Dietrich D. CD52 mRNA expression predicts prognosis and response to immune checkpoint blockade in melanoma. Pigment Cell Melanoma Res 2024; 37:309-315. [PMID: 37975535 DOI: 10.1111/pcmr.13151] [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: 07/25/2023] [Revised: 09/27/2023] [Accepted: 10/29/2023] [Indexed: 11/19/2023]
Abstract
The immune-modulating protein CD52 attenuates lymphocyte function and is associated with autoimmune disorders, for example, multiple sclerosis (MS). CD52 represents a therapeutic target in MS and chronic lymphocytic leukemia (CLL). Its expression has prognostic and predictive value in CLL and is prognostic in breast cancer. Its significance in melanoma is unclear. We analyzed CD52 mRNA expression data from tumor bulk tissues of N = 445 untreated melanoma patients from The Cancer Genome Atlas (TCGA) Research Network and of N = 121 melanoma patients undergoing anti-PD-1 immune checkpoint blockade (ICB) with regard to outcome (overall survival [OS], disease control [DC], and progression-free survival [PFS]), single-cell RNA-Seq data of N = 4645 cells from N = 19 melanoma tissues, and N = 15,457 cells from normal skin provided by N = 5 donors. Higher CD52 mRNA expression was associated with favorable OS (hazard ratio (HR) = 0.820, [95% CI 0.734-0.916], p < .001) in non-ICB-treated melanoma and with PFS (HR = 0.875, [95% CI 0.775-0.989], p = .033) and DC (p = .005) in ICB-treated melanoma. CD52 expression correlated significantly with distinct immune cell subsets and correlated negatively with immune checkpoint expression in T cells. Moreover, our results suggest CD52 expression by a certain type of tissue-resident macrophages. CD52 mRNA was expressed in a small subgroup (8%) of immune checkpoint coexpressing melanoma cells. CD52 expression is associated with features of ICB response in melanoma. Concomitant ICB and anti-CD52 treatment requires critical review.
Collapse
Affiliation(s)
- Luka de Vos-Hillebrand
- Department of Dermatology and Allergology, University Medical Center Bonn (UKB), Bonn, Germany
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Simon Fietz
- Department of Dermatology and Allergology, University Medical Center Bonn (UKB), Bonn, Germany
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Philip Hillebrand
- Department of Dermatology and Allergology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Zsófi Kulcsár
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Marie Yatou Diop
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Sarah Hollick
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | | | - Sebastian Strieth
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Jennifer Landsberg
- Department of Dermatology and Allergology, University Medical Center Bonn (UKB), Bonn, Germany
| | - Dimo Dietrich
- Department of Otorhinolaryngology, University Medical Center Bonn (UKB), Bonn, Germany
| |
Collapse
|
5
|
Yam-Puc JC, Hosseini Z, Horner EC, Gerber PP, Beristain-Covarrubias N, Hughes R, Lulla A, Rust M, Boston R, Ali M, Fischer K, Simmons-Rosello E, O'Reilly M, Robson H, Booth LH, Kahanawita L, Correa-Noguera A, Favara D, Ceron-Gutierrez L, Keller B, Craxton A, Anderson GSF, Sun XM, Elmer A, Saunders C, Bermperi A, Jose S, Kingston N, Mulroney TE, Piñon LPG, Chapman MA, Grigoriadou S, MacFarlane M, Willis AE, Patil KR, Spencer S, Staples E, Warnatz K, Buckland MS, Hollfelder F, Hyvönen M, Döffinger R, Parkinson C, Lear S, Matheson NJ, Thaventhiran JED. Age-associated B cells predict impaired humoral immunity after COVID-19 vaccination in patients receiving immune checkpoint blockade. Nat Commun 2023; 14:3292. [PMID: 37369658 PMCID: PMC10299999 DOI: 10.1038/s41467-023-38810-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 05/17/2023] [Indexed: 06/29/2023] Open
Abstract
Age-associated B cells (ABC) accumulate with age and in individuals with different immunological disorders, including cancer patients treated with immune checkpoint blockade and those with inborn errors of immunity. Here, we investigate whether ABCs from different conditions are similar and how they impact the longitudinal level of the COVID-19 vaccine response. Single-cell RNA sequencing indicates that ABCs with distinct aetiologies have common transcriptional profiles and can be categorised according to their expression of immune genes, such as the autoimmune regulator (AIRE). Furthermore, higher baseline ABC frequency correlates with decreased levels of antigen-specific memory B cells and reduced neutralising capacity against SARS-CoV-2. ABCs express high levels of the inhibitory FcγRIIB receptor and are distinctive in their ability to bind immune complexes, which could contribute to diminish vaccine responses either directly, or indirectly via enhanced clearance of immune complexed-antigen. Expansion of ABCs may, therefore, serve as a biomarker identifying individuals at risk of suboptimal responses to vaccination.
Collapse
Affiliation(s)
- Juan Carlos Yam-Puc
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK.
| | - Zhaleh Hosseini
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Emily C Horner
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Pehuén Pereyra Gerber
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | | | - Robert Hughes
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Aleksei Lulla
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Maria Rust
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Rebecca Boston
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Magda Ali
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Katrin Fischer
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Edward Simmons-Rosello
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Martin O'Reilly
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Harry Robson
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Lucy H Booth
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Lakmini Kahanawita
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Andrea Correa-Noguera
- Department of Oncology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - David Favara
- Department of Oncology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Lourdes Ceron-Gutierrez
- Department of Clinical Immunology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Baerbel Keller
- Department of Rheumatology and Clinical Immunology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Andrew Craxton
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Georgina S F Anderson
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Xiao-Ming Sun
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Anne Elmer
- NIHR Cambridge Clinical Research Facility, Cambridge, UK
| | | | - Areti Bermperi
- NIHR Cambridge Clinical Research Facility, Cambridge, UK
| | - Sherly Jose
- NIHR Cambridge Clinical Research Facility, Cambridge, UK
| | - Nathalie Kingston
- NIHR BioResource, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thomas E Mulroney
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Lucia P G Piñon
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Michael A Chapman
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | | | - Marion MacFarlane
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Anne E Willis
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Kiran R Patil
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Sarah Spencer
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
| | - Emily Staples
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK
- Department of Clinical Immunology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Klaus Warnatz
- Department of Rheumatology and Clinical Immunology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Immunology, University Hospital Zurich, Zurich, Switzerland
| | - Matthew S Buckland
- Department of Clinical Immunology, Barts Health, London, UK
- UCL GOSH Institute of Child Health Division of Infection and Immunity, Section of Cellular and Molecular Immunology, London, UK
| | | | - Marko Hyvönen
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Rainer Döffinger
- Department of Clinical Immunology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Christine Parkinson
- Department of Oncology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Sara Lear
- Department of Clinical Immunology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK
| | - Nicholas J Matheson
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
- NHS Blood and Transplant, Cambridge, UK
| | - James E D Thaventhiran
- Medical Research Council Toxicology Unit, School of Biological Sciences, University of Cambridge, Cambridge, UK.
- Department of Clinical Immunology, Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK.
| |
Collapse
|
6
|
Zheng Z, Yuan D, Shen C, Zhang Z, Ye J, Zhu L. Identification of potential diagnostic biomarkers of atherosclerosis based on bioinformatics strategy. BMC Med Genomics 2023; 16:100. [PMID: 37173673 PMCID: PMC10176947 DOI: 10.1186/s12920-023-01531-w] [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: 01/05/2023] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Atherosclerosis is the main pathological change in atherosclerotic cardiovascular disease, and its underlying mechanisms are not well understood. The aim of this study was to explore the hub genes involved in atherosclerosis and their potential mechanisms through bioinformatics analysis. METHODS Three microarray datasets from Gene Expression Omnibus (GEO) identified robust differentially expressed genes (DEGs) by robust rank aggregation (RRA). We performed connectivity map (CMap) analysis and functional enrichment analysis on robust DEGs and constructed a protein‒protein interaction (PPI) network using the STRING database to identify the hub gene using 12 algorithms of cytoHubba in Cytoscape. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic potency of the hub genes.The CIBERSORT algorithm was used to perform immunocyte infiltration analysis and explore the association between the identified biomarkers and infiltrating immunocytes using Spearman's rank correlation analysis in R software. Finally, we evaluated the expression of the hub gene in foam cells. RESULTS A total of 155 robust DEGs were screened by RRA and were revealed to be mainly associated with cytokines and chemokines by functional enrichment analysis. CD52 and IL1RN were identified as hub genes and were validated in the GSE40231 dataset. Immunocyte infiltration analysis showed that CD52 was positively correlated with gamma delta T cells, M1 macrophages and CD4 memory resting T cells, while IL1RN was positively correlated with monocytes and activated mast cells. RT-qPCR results indicate that CD52 and IL1RN were highly expressed in foam cells, in agreement with bioinformatics analysis. CONCLUSIONS This study has established that CD52 and IL1RN may play a key role in the occurrence and development of atherosclerosis, which opens new lines of thought for further research on the pathogenesis of atherosclerosis.
Collapse
Affiliation(s)
| | - Dong Yuan
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Cheng Shen
- Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Zhiyuan Zhang
- Dalian Medical University, Dalian, 116000, China
- The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China
| | - Jun Ye
- Dalian Medical University, Dalian, 116000, China.
- The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
| | - Li Zhu
- Dalian Medical University, Dalian, 116000, China.
- Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, China.
| |
Collapse
|
7
|
Khunsriraksakul C, Li Q, Markus H, Patrick MT, Sauteraud R, McGuire D, Wang X, Wang C, Wang L, Chen S, Shenoy G, Li B, Zhong X, Olsen NJ, Carrel L, Tsoi LC, Jiang B, Liu DJ. Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus. Nat Commun 2023; 14:668. [PMID: 36750564 PMCID: PMC9905560 DOI: 10.1038/s41467-023-36306-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 01/25/2023] [Indexed: 02/09/2023] Open
Abstract
Systemic lupus erythematosus is a heritable autoimmune disease that predominantly affects young women. To improve our understanding of genetic etiology, we conduct multi-ancestry and multi-trait meta-analysis of genome-wide association studies, encompassing 12 systemic lupus erythematosus cohorts from 3 different ancestries and 10 genetically correlated autoimmune diseases, and identify 16 novel loci. We also perform transcriptome-wide association studies, computational drug repurposing analysis, and cell type enrichment analysis. We discover putative drug classes, including a histone deacetylase inhibitor that could be repurposed to treat lupus. We also identify multiple cell types enriched with putative target genes, such as non-classical monocytes and B cells, which may be targeted for future therapeutics. Using this newly assembled result, we further construct polygenic risk score models and demonstrate that integrating polygenic risk score with clinical lab biomarkers improves the diagnostic accuracy of systemic lupus erythematosus using the Vanderbilt BioVU and Michigan Genomics Initiative biobanks.
Collapse
Affiliation(s)
- Chachrit Khunsriraksakul
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Qinmengge Li
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Havell Markus
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Matthew T Patrick
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Renan Sauteraud
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Daniel McGuire
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Xingyan Wang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Chen Wang
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Lida Wang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Siyuan Chen
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Ganesh Shenoy
- Department of Neurosurgery, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt University, Nashville, TN, 37235, USA
| | - Xue Zhong
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Nancy J Olsen
- Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Laura Carrel
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Lam C Tsoi
- Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Bibo Jiang
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Dajiang J Liu
- Program in Bioinformatics and Genomics, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA. .,Institute for Personalized Medicine, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA. .,Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.
| |
Collapse
|
8
|
CD52 and OXPHOS-potential targets in ibrutinib-treated mantle cell lymphoma. Cell Death Dis 2022; 8:505. [PMID: 36587029 PMCID: PMC9805448 DOI: 10.1038/s41420-022-01289-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 01/01/2023]
Abstract
Altered features of tumor cells acquired across therapy can result in the survival of treatment-resistant clones that may cause minimal residual disease (MRD). Despite the efficacy of ibrutinib in treating relapsed/refractory mantle cell lymphoma, the obstacle of residual cells contributes to relapses of this mature B-cell neoplasm, and the disease remains incurable. RNA-seq analysis of an ibrutinib-sensitive mantle cell lymphoma cell line following ibrutinib incubation of up to 4 d, corroborated our previously postulated resistance mechanism of a metabolic switch to reliance on oxidative phosphorylation (OXPHOS) in surviving cells. Besides, we had shown that treatment-persisting cells were characterized by increased CD52 expression. Therefore, we hypothesized that combining ibrutinib with another agent targeting these potential escape mechanisms could minimize the risk of survival of ibrutinib-resistant cells. Concomitant use of ibrutinib with OXPHOS-inhibitor IACS-010759 increased toxicity compared to ibrutinib alone. Targeting CD52 was even more efficient, as addition of CD52 mAb in combination with human serum following ibrutinib pretreatment led to rapid complement-dependent-cytotoxicity in an ibrutinib-sensitive cell line. In primary mantle cell lymphoma cells, a higher toxic effect with CD52 mAb was obtained, when cells were pretreated with ibrutinib, but only in an ibrutinib-sensitive cohort. Given the challenge of treating multi-resistant mantle cell lymphoma patients, this work highlights the potential use of anti-CD52 therapy as consolidation after ibrutinib treatment in patients who responded to the BTK inhibitor to achieve MRD negativity and prolong progression-free survival.
Collapse
|
9
|
Ding L, Li X, Zhu H, Luo H. Single-Cell Sequencing in Rheumatic Diseases: New Insights from the Perspective of the Cell Type. Aging Dis 2022; 13:1633-1651. [PMID: 36465169 PMCID: PMC9662270 DOI: 10.14336/ad.2022.0323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/23/2022] [Indexed: 11/02/2023] Open
Abstract
Rheumatic diseases are a group of highly heterogeneous autoimmune and inflammatory disorders involving multiple systems. Dysfunction of immune and non-immune cells participates in the complex pathogenesis of rheumatic diseases. Therefore, studies on the abnormal activation of cell subtypes provided a specific basis for understanding the pathogenesis of rheumatic diseases, which promoted the accuracy of disease diagnosis and the effectiveness of various treatments. However, there was still a far way to achieve individualized precision medicine as the result of heterogeneity among cell subtypes. To obtain the biological information of cell subtypes, single-cell sequencing, a cutting-edge technology, is used for analyzing their genomes, transcriptomes, epigenetics, and proteomics. Novel results identified multiple cell subtypes in tissues of patients with rheumatic diseases by single-cell sequencing. Consequently, we provide an overview of recent applications of single-cell sequencing in rheumatic disease and cross-tissue to understand the cell subtypes and functions.
Collapse
Affiliation(s)
- Liqing Ding
- The Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Xiaojing Li
- The Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Honglin Zhu
- The Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Provincial Clinical Research Center for Rheumatic and Immunologic Diseases, Xiangya Hospital, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
| | - Hui Luo
- The Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Provincial Clinical Research Center for Rheumatic and Immunologic Diseases, Xiangya Hospital, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
| |
Collapse
|
10
|
Liu R, Du S, Zhao L, Jain S, Sahay K, Rizvanov A, Lezhnyova V, Khaibullin T, Martynova E, Khaiboullina S, Baranwal M. Autoreactive lymphocytes in multiple sclerosis: Pathogenesis and treatment target. Front Immunol 2022; 13:996469. [PMID: 36211343 PMCID: PMC9539795 DOI: 10.3389/fimmu.2022.996469] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by destruction of the myelin sheath structure. The loss of myelin leads to damage of a neuron’s axon and cell body, which is identified as brain lesions on magnetic resonance image (MRI). The pathogenesis of MS remains largely unknown. However, immune mechanisms, especially those linked to the aberrant lymphocyte activity, are mainly responsible for neuronal damage. Th1 and Th17 populations of lymphocytes were primarily associated with MS pathogenesis. These lymphocytes are essential for differentiation of encephalitogenic CD8+ T cell and Th17 lymphocyte crossing the blood brain barrier and targeting myelin sheath in the CNS. B-lymphocytes could also contribute to MS pathogenesis by producing anti-myelin basic protein antibodies. In later studies, aberrant function of Treg and Th9 cells was identified as contributing to MS. This review summarizes the aberrant function and count of lymphocyte, and the contributions of these cell to the mechanisms of MS. Additionally, we have outlined the novel MS therapeutics aimed to amend the aberrant function or counts of these lymphocytes.
Collapse
Affiliation(s)
- Rongzeng Liu
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Shushu Du
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Lili Zhao
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Sahil Jain
- Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Kritika Sahay
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Albert Rizvanov
- Gene and cell Department, Kazan Federal University, Kazan, Russia
| | - Vera Lezhnyova
- Gene and cell Department, Kazan Federal University, Kazan, Russia
| | - Timur Khaibullin
- Neurological Department, Republican Clinical Neurological Center, Kazan, Russia
| | | | - Svetlana Khaiboullina
- Gene and cell Department, Kazan Federal University, Kazan, Russia
- *Correspondence: Svetlana Khaiboullina, ; Manoj Baranwal, ;
| | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
- *Correspondence: Svetlana Khaiboullina, ; Manoj Baranwal, ;
| |
Collapse
|
11
|
Krug A, Tari G, Saidane A, Gaulard P, Ricci JE, Lemonnier F, Verhoeyen E. Novel T Follicular Helper-like T-Cell Lymphoma Therapies: From Preclinical Evaluation to Clinical Reality. Cancers (Basel) 2022; 14:cancers14102392. [PMID: 35625998 PMCID: PMC9139536 DOI: 10.3390/cancers14102392] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/02/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary This work reviews the multiple efforts that have been and are being invested by researchers as well as clinicians to improve the treatment of a specific T-cell lymphoma called follicular helper peripheral T-cell lymphoma. Still, though treatments for B-cell lymphomas have improved, this particular T-cell lymphoma has little to no new therapeutic options that show marked improvements in the survival of the patients compared to treatment with chemotherapy. We report here the evaluation of targeted new therapies for this T-cell lymphoma in new preclinical models for this cancer or in clinical trials with the objective to offer better (combination) treatment options. Abstract The classification of peripheral T-cell lymphomas (PTCL) is constantly changing and contains multiple subtypes. Here, we focus on Tfh-like PTCL, to which angioimmunoblastic T-cell lymphoma (AITL) belongs, according to the last WHO classification. The first-line treatment of these malignancies still relies on chemotherapy but gives very unsatisfying results for these patients. Enormous progress in the last decade in terms of understanding the implicated genetic mutations leading to signaling and epigenetic pathway deregulation in Tfh PTCL allowed the research community to propose new therapeutic approaches. These findings point towards new biomarkers and new therapies, including hypomethylating agents, such as azacytidine, and inhibitors of the TCR-hyperactivating molecules in Tfh PTCL. Additionally, metabolic interference, inhibitors of the NF-κB and PI3K-mTOR pathways and possibly novel immunotherapies, such as antibodies and chimeric antigen receptors (CAR) directed against Tfh malignant T-cell surface markers, are discussed in this review among other new treatment options.
Collapse
Affiliation(s)
- Adrien Krug
- Université Côte d’Azur, INSERM, C3M, 06204 Nice, France; (A.K.); (A.S.); (J.-E.R.)
| | - Gamze Tari
- Univ Paris Est Créteil, INSERM, IMRB, 94010 Créteil, France;
| | - Aymen Saidane
- Université Côte d’Azur, INSERM, C3M, 06204 Nice, France; (A.K.); (A.S.); (J.-E.R.)
| | - Philippe Gaulard
- Département de Pathologie, AP-HP, Groupe Hospitalo-Universitaire Chenevier Mondor, 94010 Créteil, France;
| | - Jean-Ehrland Ricci
- Université Côte d’Azur, INSERM, C3M, 06204 Nice, France; (A.K.); (A.S.); (J.-E.R.)
| | - François Lemonnier
- Service Unité Hémopathies Lymphoides, AP-HP, Groupe Hospitalo-Universitaire Chenevier Mondor, 94010 Créteil, France;
| | - Els Verhoeyen
- Université Côte d’Azur, INSERM, C3M, 06204 Nice, France; (A.K.); (A.S.); (J.-E.R.)
- CIRI, Université de Lyon, INSERM U1111, ENS de Lyon, Université Lyon1, CNRS, UMR 5308, 69007 Lyon, France
- Correspondence: or ; Tel.: +33-4-72728731
| |
Collapse
|
12
|
Abstract
PURPOSE OF REVIEW New insight into altered B cell distribution including newly identified subsets and abnormalities in systemic lupus erythematosus (SLE) as well as their role in immune protection are summarized in this review. RECENT FINDINGS SLE carries characteristic B cell abnormalities, which offer new insights into B cell differentiation and their disturbances including discoveries of pathogenic B cell subsets and intrinsic B cell abnormalities. A recent study in SLE found that antigen-experienced B cell subsets lacking expression of CD27 and IgD defined by their lack of CXCR5 and CD19low expression are expanded in SLE and represent plasmablasts likely escaping proper selection. In terms of therapeutic targeting with broader coverage than rituximab, second-generation anti-CD20, anti-CD38 and CD19-CART treatment experiences have advanced our understanding recently. However, the key role of qualitative and quantitative B cell requirements in connection with T cells became apparent during SARS-Cov2 infection and vaccination, especially in patients with gradual B cell impairments by rituximab, mycophenolate mofetil and cyclophosphamide. SUMMARY Identification and characterization relevant B cell subsets together with altered regulatory mechanisms in SLE facilitates new approaches in targeting pathogenic B cells but require consideration of preservation of protection.
Collapse
Affiliation(s)
- Franziska Szelinski
- Department of Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin
- Freie Universität Berlin, Humboldt-Universität zu Berlin, the Berlin Institute of Health
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Andreia C Lino
- Department of Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin
- Freie Universität Berlin, Humboldt-Universität zu Berlin, the Berlin Institute of Health
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Thomas Dörner
- Department of Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin
- Freie Universität Berlin, Humboldt-Universität zu Berlin, the Berlin Institute of Health
- German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute, Berlin, Germany
| |
Collapse
|
13
|
Dai B, Ding L, Zhao L, Zhu H, Luo H. Contributions of Immune Cells and Stromal Cells to the Pathogenesis of Systemic Sclerosis: Recent Insights. Front Pharmacol 2022; 13:826839. [PMID: 35185577 PMCID: PMC8852243 DOI: 10.3389/fphar.2022.826839] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/04/2022] [Indexed: 12/21/2022] Open
Abstract
Systemic sclerosis (SSc) is a multisystem rheumatic disease characterized by vascular dysfunction, autoimmune abnormalities, and progressive organ fibrosis. A series of studies in SSc patients and fibrotic models suggest that immune cells, fibroblasts, and endothelial cells participate in inflammation and aberrant tissue repair. Furthermore, the growing number of studies on single-cell RNA sequencing (scRNA-seq) technology in SSc elaborate on the transcriptomics and heterogeneities of these cell subsets significantly. In this review, we summarize the current knowledge regarding immune cells and stromal cells in SSc patients and discuss their potential roles in SSc pathogenesis, focusing on recent advances in the new subtypes by scRNA-seq.
Collapse
Affiliation(s)
- Bingying Dai
- Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, China
| | - Liqing Ding
- Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, China
| | - Lijuan Zhao
- Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, China
| | - Honglin Zhu
- Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, China
- Provincial Clinical Research Center for Rheumatic and Immunologic Diseases, Xiangya Hospital, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- *Correspondence: Honglin Zhu, ; Hui Luo,
| | - Hui Luo
- Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, China
- Provincial Clinical Research Center for Rheumatic and Immunologic Diseases, Xiangya Hospital, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- *Correspondence: Honglin Zhu, ; Hui Luo,
| |
Collapse
|
14
|
Kuret T, Sodin-Šemrl S, Leskošek B, Ferk P. Single Cell RNA Sequencing in Autoimmune Inflammatory Rheumatic Diseases: Current Applications, Challenges and a Step Toward Precision Medicine. Front Med (Lausanne) 2022; 8:822804. [PMID: 35118101 PMCID: PMC8804286 DOI: 10.3389/fmed.2021.822804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 12/27/2021] [Indexed: 12/11/2022] Open
Abstract
Single cell RNA sequencing (scRNA-seq) represents a new large scale and high throughput technique allowing analysis of the whole transcriptome at the resolution of an individual cell. It has emerged as an imperative method in life science research, uncovering complex cellular networks and providing indices that will eventually lead to the development of more targeted and personalized therapies. The importance of scRNA-seq has been particularly highlighted through the analysis of complex biological systems, in which cellular heterogeneity is a key aspect, such as the immune system. Autoimmune inflammatory rheumatic diseases represent a group of disorders, associated with a dysregulated immune system and high patient heterogeneity in both pathophysiological and clinical aspects. This complicates the complete understanding of underlying pathological mechanisms, associated with limited therapeutic options available and their long-term inefficiency and even toxicity. There is an unmet need to investigate, in depth, the cellular and molecular mechanisms driving the pathogenesis of rheumatic diseases and drug resistance, identify novel therapeutic targets, as well as make a step forward in using stratified and informed therapeutic decisions, which could now be achieved with the use of single cell approaches. This review summarizes the current use of scRNA-seq in studying different rheumatic diseases, based on recent findings from published in vitro, in vivo, and clinical studies, as well as discusses the potential implementation of scRNA-seq in the development of precision medicine in rheumatology.
Collapse
Affiliation(s)
- Tadeja Kuret
- Faculty of Medicine, Institute of Cell Biology, University of Ljubljana, Ljubljana, Slovenia
| | - Snežna Sodin-Šemrl
- Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia
| | - Brane Leskošek
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics/ELIXIR-SI Center, University of Ljubljana, Ljubljana, Slovenia
| | - Polonca Ferk
- Faculty of Medicine, Institute for Biostatistics and Medical Informatics/ELIXIR-SI Center, University of Ljubljana, Ljubljana, Slovenia
- *Correspondence: Polonca Ferk
| |
Collapse
|
15
|
The impact of DAMP-mediated inflammation in severe COVID-19 and related disorders. Biochem Pharmacol 2022; 195:114847. [PMID: 34801526 PMCID: PMC8600760 DOI: 10.1016/j.bcp.2021.114847] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 01/08/2023]
Abstract
The host response to SARS-CoV-2, the virus that causes COVID-19, is highly heterogeneous, ranging from mild/asymptomatic to severe. The moderate to severe forms of COVID-19 often require hospitalization, are associated with a high rate of mortality, and appear to be caused by an inappropriately exaggerated inflammatory response to the virus. Emerging data confirm the involvement of both innate and adaptive immune pathways both in protection from SARS-CoV-2, and in driving the pathology of severe COVID-19. In particular, innate immune cells including neutrophils appear to be key players in the inflammation that causes the vicious cycle of damage and inflammation that underlies the symptomatology of severe COVID-19. Several recent studies support a link between damage and inflammation, with damage-associated molecular patterns (DAMPs) playing a key role in the pathology of severe COVID-19. In this review, we put into perspective the role of DAMPs and of components of the DAMP-signaling cascade, including Siglecs and their cognate ligands CD24 and CD52, in COVID-19. Further, we review clinical data on proposed therapeutics targeting DAMP pathways to treat SARS-CoV-2 infection and the regulation of these signaling cascades in COVID-19. We also discuss the potential impact of DAMP-mediated inflammation in other indications related to COVID-19, such as ARDS, endothelial dysfunction, hypercoagulation, and sepsis.
Collapse
|