Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers

Exosomes in Autoimmune Diseases: A Review of Mechanisms and Diagnostic Applications

Exosomes, small extracellular vesicles secreted by various cell types, have emerged as key players in the pathophysiology of autoimmune diseases. These vesicles serve as mediators of intercellular communication, facilitating the transfer of bioactive molecules such as proteins, lipids, and nucleotide. In autoimmune diseases, exosomes have been implicated in modulating immune responses, oxidative stress, autophagy, gut microbes, and the cell cycle, contributing to disease initiation, progression, and immune dysregulation. Recent advancements in exosome isolation techniques and their molecular characterization have paved the way for exploring their clinical potential as biomarkers and therapeutic targets. This review focuses on the mechanisms by which exosomes influence autoimmune disease development and their potential clinical applications, particularly in diagnosis. The role of exosomes in autoimmune diseases, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), type 1 diabetes mellitus (T1DM), inflammatory bowel disease (IBD), and Sjögren's syndrome (SS), is discussed in relation to their involvements in antigen presentation, T-cell activation, and the induction of inflammatory pathways. Additionally, exosome-based biomarkers offer promising non-invasive diagnostic tools for early diagnostic, disease monitoring, and therapeutic response assessment. However, challenges such as standardization of exosome isolation protocols and validation of their clinical significance remain. This review highlights the potential of exosomes as both diagnostic biomarkers and therapeutic targets in autoimmune diseases, emphasizing the need for further research to overcome current limitations and fully harness their clinical value.

Beta-Cell-Derived Extracellular Vesicles: Mediators of Intercellular Communication in the Islet Microenvironment in Type 1 Diabetes

Type 1 diabetes (T1D) is a chronic autoimmune disorder characterised by an autoimmune response specifically mounted against the insulin-producing beta cells. Within the islet, high cellular connectivity and extensive vascularisation facilitate intra-islet communication and direct crosstalk with the surrounding tissues and the immune system. During the development of T1D, cytokines and extracellular vesicles released by beta cells can contribute to the recruitment of immune cells, further amplifying autoimmunity and aggravating beta cell damage and dysfunction. In this review, we will evaluate the role of beta-cell-derived extracellular vesicles as mediators of the autoimmune response and discuss their potential for early diagnosis and new therapeutic strategies in T1D.

Circulating non-coding RNA in type 1 diabetes mellitus as a source of potential biomarkers - An emerging role of sex difference

Non-coding RNAs (ncRNAs), such as microRNA, long non-coding RNA, and circular RNA, are considered essential regulatory molecules mediating many cellular processes. Moreover, an increasing number of studies have investigated the role of ncRNAs in cancers and various metabolic disorders, including diabetes mellitus. Interestingly, some circulating ncRNA detected in body fluids may serve as novel biomarkers. There is still a lack of conventional biomarkers that detect the early stage of type 1 diabetes mellitus. Many circulating microRNA, long non-coding RNA, and circular RNA show aberrant expression in type 1 diabetes patients compared to healthy individuals. However, most studies have focused on circulating microRNA rather than long non-coding RNA or circular RNA. In addition, a few studies have evaluated sex differences in ncRNA biomarkers. Therefore, this article summarises current knowledge about circulating ncRNAs as potential biomarkers for type 1 diabetes and explores the effects of sex on such biomarkers.

Differential lncRNA profiles of blood plasma-derived exosomes from systemic lupus erythematosus

INTRODUCTION

Long non-coding RNAs (lncRNAs) dysregulation is key in the pathogenesis of systemic lupus erythematosus (SLE), but the role of exosomal lncRNAs in SLE has not been well studied. We elucidated the profiles of plasma exosomal lncRNAs expression in patients with SLE and predictd their potential clinical significance in SLE.

METHODS

In the screening stage, six newly diagnosed and untreated patients with SLE and six healthy controls were examined by high-throughput sequencing technology, and differential exosomal lncRNA profiles were constructed. In the validation phase, two differentially selected exosomal lncRNAs from 20 patients each with active and stable SLE and 20 healthy controls were verified with RT-qPCR. The correlation between the selected exosomal lncRNAs and SLE clinical indicators was examined. The diagnostic value of the selected exosomal lncRNAs in SLE was analyzed by the receiver operator characteristic (ROC) curve.

RESULTS

Exosomes were successfully extracted from the patients and controls. Sequencing-phase sequencing demonstrated 528 upregulated lncRNAs and 7491 downregulated lncRNAs. In the validation stage, exosomal LINC00667 and DANCR were significantly upregulated in the patients, and positively correlated with Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2 K). Exosomal DANCR expression between the active and stable SLE patients was different. The area under the curve(AUC) of exosomal LINC00667 and DANCR for SLE diagnosis was 0.815 and 0.759, respectively.

CONCLUSIONS

Exosomal LINC00667 and DANCR were upregulated in SLE, and might be new biomarkers thereof. Exosomal DANCR was associated with SLE activity.

Importance of Studying Non-Coding RNA in Children and Adolescents with Type 1 Diabetes

Type 1 diabetes (T1D) mellitus is a chronic illness in children and teens, with rising global incidence rates. It stems from an autoimmune attack on pancreatic β cells, leading to insufficient insulin production. Genetic susceptibility and environmental triggers initiate this process. Early detection is possible by identifying multiple autoantibodies, which aids in predicting future T1D development. A new staging system highlights T1D's onset with islet autoimmunity rather than symptoms. Family members of T1D patients face a significantly increased risk of T1D. Italy recently passed a law mandating national T1D screening for pediatric populations. Measurements of β cell function continue to be essential in assessing efficacy, and different models have been proposed, but more appropriate biomarkers are mandatory for both progression studies before the onset of diabetes and during therapeutic monitoring. Biomarkers like microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) play key roles in T1D pathogenesis by regulating gene expression. Understanding their roles offers insights into T1D mechanisms and potential therapeutic targets. In this review, we summarized recent progress in the roles of some non-coding RNAs (ncRNAs) in the pathogenesis of T1D, with particular attention to miRNAs, lncRNAs, and circRNAs.

Differential expressions and potential clinical values of lncRNAs in the plasma exosomes of rheumatoid arthritis

BACKGROUND

Rheumatoid arthritis (RA) is a common autoimmune disease with unclear pathogenesis. Progress in its clinical diagnosis and treatment mainly depends on the elucidation of its pathogenesis and the exploration of new biomarkers. Exosomes contain various biomolecules, including long non-coding ribonucleic acids (lncRNAs). lncRNAs may participate in the regulation of autoimmune and inflammatory processes during RA pathogenesis by transmitting these biomolecules via exosomes among different cells. Therefore, the investigation of lncRNAs in RA exosomes may be a feasible pathway to elucidate RA pathogenesis, identify new diagnostic biomarkers, and identify potential therapeutic targets.

METHODS

In the first phase of exosomal non-coding RNAs screening, exosomes were isolated from the peripheral blood of six patients with RA and healthy controls (HC). High-throughput RNA sequencing was performed to obtain lncRNA expression profiles, and 15 lncRNAs with the highest differential expression were selected as candidate lncRNAs. In the second phase of validation using real-time quantitative polymerase chain reaction (qRT-PCR), differential expression of the 15 candidate lncRNAs was verified in 42 patients with RA and their matched HC. Their potential value as RA diagnostic biomarkers was assessed using receiver operating characteristic (ROC) curve analysis. Their relationships with common clinical indices of RA were explored using Spearman's rank correlation and linear regression analyses.

RESULT

Compared to HC, patients with RA had 206 upregulated and 2,332 downregulated lncRNAs. Fifteen candidate lncRNAs were validated by qRT-PCR, of which 12 (SNHG6, RPS18P9, RPL21P28, EBLN3P, FAM153CP, RPL23P8, SNHG31, NORAD, H3P6, DLEU2, TUG1, and OIP5-AS1) were upregulated, and three (CXXC4-AS1, OLMALINC, and NPHP3-AS1) were downregulated. In the ROC analysis of the 15 candidate lncRNAs, the area under the curve (AUC) ranged from 0.847 (0.767, 0.927) for OLMALINC to 0.994 (0.984, 1.000) for CXXC4-AS1. Spearman rank correlation analysis revealed erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and disease activity score of 28 (DAS28) were correlated with seven, six, and five lncRNAs, respectively. Further linear regression analysis revealed a negative relationship between exosomal SNHG6 and ESR (B = -0.384, P = 0.006), and a positive relationship between SNHG31 and ESR (B = 0.381, P = 0.007). Exosomal SNHG6 also showed a negative relationship with CRP (B = -0.361, P = 0.019). Moreover, exosomal RPS18P9 and SNGH31 had a negative effect and a positive effect on DAS28, respectively (B = -0.463, P < 0.001; B = 0.586, P < 0.001), implying novel exosomal lncRNAs were the independent influencing factors of the main RA-related clinical indices.

CONCLUSIONS

lncRNAs in RA plasma exosomes have characteristic expression profiles, including some lncRNAs with potential as diagnostic biomarkers and therapeutic targets for RA.

Multi-omics of extracellular vesicles: An integrative representation of functional mediators and perspectives on lung disease study

Extracellular vesicles are secreted by almost all cell types. EVs include a broader component known as exosomes that participate in cell-cell and tissue-tissue communication via carrying diverse biological signals from one cell type or tissue to another. EVs play roles as communication messengers of the intercellular network to mediate different physiological activities or pathological changes. In particular, most EVs are natural carriers of functional cargo such as DNA, RNA, and proteins, and thus they are relevant to advancing personalized targeted therapies in clinical practice. For the application of EVs, novel bioinformatic models and methods based on high-throughput technologies and multi-omics data are required to provide a deeper understanding of their biological and biomedical characteristics. These include qualitative and quantitative representation for identifying cargo markers, local cellular communication inference for tracing the origin and production of EVs, and distant organ communication reconstruction for targeting the influential microenvironment and transferable activators. Thus, this perspective paper introduces EVs in the context of multi-omics and provides an integrative bioinformatic viewpoint of the state of current research on EVs and their applications.