Autoimmunity最新文献

Innovate therapeutic targets for autoimmune diseases: insights from proteome-wide mendelian randomization and Bayesian colocalization. 自身免疫性疾病的创新治疗靶点：全蛋白质组亡羊补牢随机化和贝叶斯共定位的启示。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-03-22 DOI: 10.1080/08916934.2024.2330392

Qiubai Jin, Feihong Ren, Ping Song

{"title":"Innovate therapeutic targets for autoimmune diseases: insights from proteome-wide mendelian randomization and Bayesian colocalization.","authors":"Qiubai Jin, Feihong Ren, Ping Song","doi":"10.1080/08916934.2024.2330392","DOIUrl":"10.1080/08916934.2024.2330392","url":null,"abstract":"Background: Despite growing knowledge regarding the pathogenesis of autoimmune diseases (ADs) onset, the current treatment remains unsatisfactory. This study aimed to identify innovative therapeutic targets for ADs through various analytical approaches.Research design and methods: Utilizing Mendelian randomization, Bayesian co-localization, phenotype scanning, and protein-protein interaction network, we explored potential therapeutic targets for 14 ADs and externally validated our preliminary findings.Results: This study identified 12 circulating proteins as potential therapeutic targets for six ADs. Specifically, IL12B was judged to be a risk factor for ankylosing spondylitis (p = 1.61E - 07). TYMP (p = 6.28E - 06) was identified as a protective factor for ulcerative colitis. For Crohn's disease, ERAP2 (p = 4.47E - 14), HP (p = 2.08E - 05), and RSPO3 (p = 6.52E - 07), were identified as facilitators, whereas FLRT3 (p = 3.42E - 07) had a protective effect. In rheumatoid arthritis, SWAP70 (p = 3.26E - 10), SIGLEC6 (p = 2.47E - 05), ISG15 (p = 3.69E - 05), and FCRL3 (p = 1.10E - 10) were identified as risk factors. B4GALT1 (p = 6.59E - 05) was associated with a lower risk of Type 1 diabetes (T1D). Interestingly, CTSH was identified as a protective factor for narcolepsy (p = 1.58E - 09) but a risk factor for T1D (p = 7.36E - 11), respectively. External validation supported the associations of eight of these proteins with three ADs.Conclusions: Our integrated study identified 12 potential therapeutic targets for ADs and provided novel insights into future drug development for ADs.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140183650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Single-cell analysis with childhood and adult systemic lupus erythematosus. 儿童和成人系统性红斑狼疮的单细胞分析。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-02-12 DOI: 10.1080/08916934.2023.2281228

Jing Wang, Xiran Yang, Yanhua Zhang, Xuemei Jiang, Yanfang Li, Jingjing Cui, Yabin Liao

{"title":"Single-cell analysis with childhood and adult systemic lupus erythematosus.","authors":"Jing Wang, Xiran Yang, Yanhua Zhang, Xuemei Jiang, Yanfang Li, Jingjing Cui, Yabin Liao","doi":"10.1080/08916934.2023.2281228","DOIUrl":"10.1080/08916934.2023.2281228","url":null,"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.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139721427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated bioinformatics analysis identifies autophagy-associated genes as candidate biomarkers and reveals the immune infiltration landscape in psoriasis. 综合生物信息学分析确定了作为候选生物标记物的自噬相关基因，并揭示了银屑病的免疫浸润情况。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-03-04 DOI: 10.1080/08916934.2023.2259137

Sixian Bai, Hongyu Cheng, Hao Li, Peng Bo

{"title":"Integrated bioinformatics analysis identifies autophagy-associated genes as candidate biomarkers and reveals the immune infiltration landscape in psoriasis.","authors":"Sixian Bai, Hongyu Cheng, Hao Li, Peng Bo","doi":"10.1080/08916934.2023.2259137","DOIUrl":"10.1080/08916934.2023.2259137","url":null,"abstract":"Autophagy is implicated in the pathogenesis of psoriasis. We aimed to identify autophagy-related biomarkers in psoriasis via an integrated bioinformatics approach. We downloaded the gene expression profiles of GSE30999 dataset, and the \"limma\" package was applied to identify differentially expressed genes (DEGs). Then, differentially expressed autophagy-related genes (DEARGs) were identified via integrating autophagy-related genes with DEGs. CytoHubba plugin was used for the identification of hub genes and verified by the GSE41662 dataset. Subsequently, a series of bioinformatics analyses were employed, including protein-protein interaction network, functional enrichment, spearman correlation, receiver operating characteristic, and immune infiltration analyses. One hundred and one DEARGs were identified, and seven DEARGs were identified as hub genes and verified using the GSE41662 dataset. These validated genes had good diagnostic value in distinguishing psoriasis lesions. Immune infiltration analysis indicated that ATG5, SQSTM1, EGFR, MAPK8, MAPK3, MYC, and PIK3C3 were correlated with infiltration of immune cells. Seven DEARGs, namely ATG5, SQSTM1, EGFR, MAPK8, MAPK3, MYC, and PIK3C3, may be involved in the pathogenesis of psoriasis, which expanded the understanding of the development of psoriasis and provided important clinical significance for treatment of this disease.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140027304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Circ_0011058 alleviates RA pathology through the circ_0011058/miR-335-5p/CUL4B signal axis. Circ_0011058通过circ_0011058/miR-335-5p/CUL4B信号轴缓解RA病理学。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-01-22 DOI: 10.1080/08916934.2023.2299587

Xiaomei Wang, Qiuyun Xue, Qiangjun Duan, Ziyi Sun, Yajie Wu, Shuo Yang, Pengfei Xu, Huibo Cao, Faxue Liao, Xiao Wang, Chenggui Miao

{"title":"Circ_0011058 alleviates RA pathology through the circ_0011058/miR-335-5p/CUL4B signal axis.","authors":"Xiaomei Wang, Qiuyun Xue, Qiangjun Duan, Ziyi Sun, Yajie Wu, Shuo Yang, Pengfei Xu, Huibo Cao, Faxue Liao, Xiao Wang, Chenggui Miao","doi":"10.1080/08916934.2023.2299587","DOIUrl":"10.1080/08916934.2023.2299587","url":null,"abstract":"Our previous study found that Cullin 4B (CUL4B) inhibited rheumatoid arthritis (RA) pathology through glycogen synthase kinase-3beta (GSK3β)/canonical Wnt signalling pathway. In this work, pre-experiment and bioinformatics analysis suggested that circ_0011058 may lead to the up-regulation of CUL4B expression by inhibiting miR-335-5p. Therefore, we studied whether circ_0011058 can promote the expression of CUL4B through sponging the miR-335-5p and further promote the pathological development of RA. Bioinformatics prediction, real-time quantitative PCR (RT-qPCR), western blot (WB), double luciferase reporter gene and other relevant methods were used to study the inhibition of circ_0011058 on RA pathology and its molecular mechanism. Results showed that the expression of circ_0011058 was significantly increased in adjuvant arthritis (AA) rats and RA fibroblast-like synoviocytes (FLS). The knockout of circ_0011058 inhibited the proliferation of AA FLS and RA FLS, decreased the levels of interleukin-1 beta (IL-1β), interleukin 6 (IL-6), interleukin 8 (IL-8), and inhibited the expression of matrix metalloproteinase 3 (MMP3), fibronectin, which showed that circ_0011058 had a strong role in promoting RA pathology. Furthermore, miR-335-5p expression was reduced in AA rats and RA FLS. The highly expressed circ_0011058 directly sponged the miR-335-5p, which led to the increase of CUL4B expression and promoted the activation of the GSK3β/canonical signalling pathway. Finally, we confirmed that miR-335-5p mediated the roles of circ_0011058 in promoting RA pathological development, which showed that the circ_0011058/miR-335-5p/CUL4B signal axis was involved in RA pathology. This work was of great significance for clarifying the roles of circ_0011058 in RA pathology, and further work was needed to establish whether circ_0011058 was a potential therapeutic target or diagnostic marker for RA.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139519900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in Crohn's disease by integrating bioinformatics and machine learning. 通过整合生物信息学和机器学习，分析和验证克罗恩病的诊断生物标志物和免疫细胞浸润特征。

IF 3.3 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-10-30 DOI: 10.1080/08916934.2024.2422352

Xiao-Jun Ren, Man-Ling Zhang, Zhao-Hong Shi, Pei-Pei Zhu

{"title":"Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in Crohn's disease by integrating bioinformatics and machine learning.","authors":"Xiao-Jun Ren, Man-Ling Zhang, Zhao-Hong Shi, Pei-Pei Zhu","doi":"10.1080/08916934.2024.2422352","DOIUrl":"https://doi.org/10.1080/08916934.2024.2422352","url":null,"abstract":"Crohn's disease (CD) presents significant diagnostic and therapeutic challenges due to its unclear etiology, frequent relapses, and limited treatment options. Traditional monitoring often relies on invasive and costly gastrointestinal procedures. This study aimed to identify specific diagnostic markers for CD using advanced computational approaches. Four gene expression datasets from the Gene Expression Omnibus (GEO) were analyzed, identifying differentially expressed genes (DEGs) through gene set enrichment analysis in R. Key biomarkers were selected using machine learning algorithms, including LASSO logistic regression, SVM‑RFE, and Random Forest, and their accuracy was assessed using receiver operating characteristic (ROC) curves and nomogram models. Immune cell infiltration was analyzed using the CIBERSORT algorithm, which helped reveal associations between diagnostic markers and immune cell patterns in CD. From a training set of 605 CD samples and 82 normal controls, we identified eight significant biomarkers: LCN2, FOLH1, CXCL1, FPR1, S100P, IGFBP5, CHP2, and AQP9. The diagnostic model showed high predictive power (AUC=0.954) and performed well in external validation (AUC = 1). Immune cell infiltration analysis highlighted various immune cells involved in CD, with all diagnostic markers strongly linked to immune cell interactions. Our findings propose candidate hub genes and present a nomogram for CD diagnosis, providing potential diagnostic biomarkers for clinical applications in CD.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CD5L induces inflammation and survival in RA-FLS through ERK1/2 MAPK pathway. CD5L 通过 ERK1/2 MAPK 通路诱导 RA-FLS 的炎症和存活。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-02-29 DOI: 10.1080/08916934.2023.2201412

Huiqing Yang, Yan Luo, Xiaofei Lai

引用次数: 0

Bioinformatics and systems-biology approach to identify common pathogenic mechanisms for COVID-19 and systemic lupus erythematosus. 通过生物信息学和系统生物学方法确定 COVID-19 和系统性红斑狼疮的共同致病机制。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-02-08 DOI: 10.1080/08916934.2024.2304826

Yinlan Wu, Yanhong Li, Yu Zhou, Xiufeng Bai, Yi Liu

{"title":"Bioinformatics and systems-biology approach to identify common pathogenic mechanisms for COVID-19 and systemic lupus erythematosus.","authors":"Yinlan Wu, Yanhong Li, Yu Zhou, Xiufeng Bai, Yi Liu","doi":"10.1080/08916934.2024.2304826","DOIUrl":"10.1080/08916934.2024.2304826","url":null,"abstract":"Background: The Coronavirus disease 2019 (COVID-19) pandemic has brought a heavy burden to the world, interestingly, it shares many clinical symptoms with systemic lupus erythematosus (SLE). It is unclear whether there is a similar pathological process between COVID-9 and SLE. In addition, we don't know how to treat SLE patients with COVID-19. In this study, we analyse the potential similar pathogenesis between SLE and COVID-19 and explore their possible drug regimens using bioinformatics and systems biology approaches.Methods: The common differentially expressed genes (DEGs) were extracted from the COVID-19 datasets and the SLE datasets for functional enrichment, pathway analysis and candidate drug analysis.Result: Based on the two transcriptome datasets between COVID-19 and SLE, 325 common DEGs were selected. Hub genes were identified by protein-protein interaction (PPI) analysis. few found a variety of similar functional changes between COVID-19 and SLE, which may be related to the pathogenesis of COVID-19. Besides, we explored the related regulatory networks. Then, through drug target matching, we found many candidate drugs for patients with COVID-19 only or COVID-19 combined with SLE.Conclusion: COVID-19 and SLE patients share many common hub genes, related pathways and regulatory networks. Based on these common targets, we found many potential drugs that could be used in treating patient with COVID-19 or COVID-19 combined with SLE.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139705973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification the role of necroptosis in rheumatoid arthritis by WGCNA network. 通过 WGCNA 网络鉴定坏死在类风湿性关节炎中的作用。

IF 3.5 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-06-13 DOI: 10.1080/08916934.2024.2358069

Feige Nian, Yiwen Wang, Mingfeng Yang, Bin Zhang

{"title":"Identification the role of necroptosis in rheumatoid arthritis by WGCNA network.","authors":"Feige Nian, Yiwen Wang, Mingfeng Yang, Bin Zhang","doi":"10.1080/08916934.2024.2358069","DOIUrl":"https://doi.org/10.1080/08916934.2024.2358069","url":null,"abstract":"Rheumatoid arthritis (RA) is the predominant manifestation of inflammatory arthritis, distinguished by an increasing burden of morbidity and mortality. The intricate interplay of genes and signalling pathways involved in synovial inflammation in patients with RA remains inadequately comprehended. This study aimed to ascertain the role of necroptosis in RA, as along with their associations with immune cell infiltration. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify central genes for RA. In this study, identified total of 28 differentially expressed genes (DEGs) were identified in RA. Utilising WGCNA, two co-expression modules were generated, with one module demonstrating the strongest correlation with RA. Through the integration of differential gene expression analysis, a total of 5 intersecting genes were discovered. These 5 hub genes, namely fused in sarcoma (FUS), transformer 2 beta homolog (TRA2B), eukaryotic translation elongation factor 2 (EEF2), cleavage and polyadenylation specific factor 6 (CPSF6) and signal transducer and activator of transcription 3 (STAT3) were found to possess significant diagnostic value as determined by receiver operating characteristic (ROC) curve analysis. The close association between the concentrations of various immune cells is anticipated to contribute to the diagnosis and treatment of RA. Furthermore, the infiltration of immune cells mentioned earlier is likely to exert a substantial influence on the initiation of this disease.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

iTreg cells-secreted IL10 alleviates lupus nephritis through inactivating lncRNA HAR1A transcription to suppress SMARCD1-mediated iNOS activation. iTreg细胞分泌的IL10通过使lncRNA HAR1A转录失活来抑制SMARCD1介导的iNOS激活，从而缓解狼疮肾炎。

IF 3.3 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-11-05 DOI: 10.1080/08916934.2024.2423758

Ya Liu, Pei Li, Longkun Wang, Luojia Jiang, Zhengfu Li, Yu Mei, Weijuan Deng

{"title":"iTreg cells-secreted IL10 alleviates lupus nephritis through inactivating lncRNA HAR1A transcription to suppress SMARCD1-mediated iNOS activation.","authors":"Ya Liu, Pei Li, Longkun Wang, Luojia Jiang, Zhengfu Li, Yu Mei, Weijuan Deng","doi":"10.1080/08916934.2024.2423758","DOIUrl":"https://doi.org/10.1080/08916934.2024.2423758","url":null,"abstract":"Lupus nephritis (LN) is a highly prevalent complication of systemic lupus erythematosus (SLE). Long non-coding RNAs (lncRNAs) are essential modulators in multiple types of human diseases, including LN. In the current study, we searched on online GEO database to select out lncRNAs that were differentially expressed in blood samples of LN patients. Through further RT-qPCR analysis, we found that lncRNA Highly Accelerated Region 1 A (HAR1A) is most significantly upregulated in blood samples of LN patients. Functionally, we detected that overexpression of HAR1A could aggravate LPS-induced injury and inflammation. According to the results of bioinformatics analysis and mechanism experiments, we determined that HAR1A binds with miR-149-3p to upregulate SMARCD1 through competing endogenous RNA (ceRNA) mechanism. It has been proven that iNOS is an inflammation inducer. Here, we found that HAR1A/miR-149-3p/SMARCD1 upregulates iNOS expression through enhancing H3K27ac level in iNOS promoter. Previously, we proved that CD8+CD103+ iTreg cells could alleviate glomerular endothelial cell injury. Moreover, we demonstrated that CD8 + CD103+ iTreg cells-secreted IL-10 downregulated HAR1A expression by impeding NF-κB pathway activation. In conclusion, this study provides evidences revealing a novel molecular pathway blocked by CD8+CD103+ iTreg cells in LN.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HLA-transgenic mouse models to study autoimmune central nervous system diseases. 研究自身免疫性中枢神经系统疾病的 HLA 转基因小鼠模型。

IF 3.3 4区医学

Autoimmunity Pub Date : 2024-12-01 Epub Date: 2024-08-21 DOI: 10.1080/08916934.2024.2387414

Kyle R Pressley, Lance Schwegman, Maria Montes De Oca Arena, Carol Chase Huizar, Scott S Zamvil, Thomas G Forsthuber

{"title":"HLA-transgenic mouse models to study autoimmune central nervous system diseases.","authors":"Kyle R Pressley, Lance Schwegman, Maria Montes De Oca Arena, Carol Chase Huizar, Scott S Zamvil, Thomas G Forsthuber","doi":"10.1080/08916934.2024.2387414","DOIUrl":"10.1080/08916934.2024.2387414","url":null,"abstract":"It is known that certain human leukocyte antigen (HLA) genes are associated with autoimmune central nervous system (CNS) diseases, such as multiple sclerosis (MS), but their exact role in disease susceptibility and etiopathogenesis remains unclear. The best studied HLA-associated autoimmune CNS disease is MS, and thus will be the primary focus of this review. Other HLA-associated autoimmune CNS diseases, such as autoimmune encephalitis and neuromyelitis optica will be discussed. The lack of animal models to accurately capture the complex human autoimmune response remains a major challenge. HLA transgenic (tg) mice provide researchers with powerful tools to investigate the underlying mechanisms promoting susceptibility and progression of HLA-associated autoimmune CNS diseases, as well as for elucidating the myelin epitopes potentially targeted by T cells in autoimmune disease patients. We will discuss the potential role(s) of autoimmune disease-associated HLA alleles in autoimmune CNS diseases and highlight information provided by studies using HLA tg mice to investigate the underlying pathological mechanisms and opportunities to use these models for development of novel therapies.","PeriodicalId":8688,"journal":{"name":"Autoimmunity","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11470778/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142016208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0