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INTRODUCTION: Systemic lupus erythematosus (SLE) is a diverse autoimmune disease that arises from a combination of complex genetic factors and environmental influences. While circRNAs and miRNAs have recently been identified as promising biomarkers for disease diagnosis, their specific expression patterns, and clinical implications in SLE are not yet fully understood. AIM OF THE WORK: The aim of the present study was to determine the role of a panel of noncoding-RNAs specifically circRNAs (circ-TubD1, circ-CDC27, and circ-Med14), along with miRNA (rno-miR-146a-5p) and mRNA (TRAF6), as novel minimally invasive diagnostic biomarkers for experimentally induced SLE. Additionally, the study involved an insilico bioinformatics analysis to explore potential pathways involved in the pathogenesis of SLE, aiming to enhance our understanding of the disease, enable early diagnosis, and facilitate improved treatment strategies. MATERIALS AND METHODS: SLE was induced in rats using single IP injection of incomplete Freund's adjuvant (IFA). The Induction was confirmed by assessing the ANA and anti-ds DNA levels using ELSA technique. qPCR analysis was conducted to assess the expression of selected RNAs in sera collected from a group of 10 rats with induced SLE and a control group of 10 rats. In addition, bioinformatics and functional analysis were used to construct a circRNA-miRNA-mRNA network and to determine the potential function of these differentially expressed circRNAs. RESULTS: SLE rats demonstrated significantly higher expression levels of circ-CDC27, circ-Med14, and rno-miR-146a-5p as well as TRAF6, with lower expression level of circ-TubD1 in sera of SLE rats relative to controls. ROC curve analysis indicated that all the selected non-coding RNAs could serve as potential early diagnostic markers for SLE. In addition, the expression level of circ-TubD1 was negatively correlated with rno-miR-146a-5p, however, rno-miR-146a-5p was positively correlated with TRAF6. Bioinformatic analysis revealed the incorporation of the circRNAs targeted genes in various immune system and neurodegeneration pathways. CONCLUSIONS: Therefore, circRNAs; circ-TubD1, circ-CDC27, and circ-Med14, in addition to the miRNA (rno-miR-146a-5p) and mRNA (TRAF6) may be involved in the development of SLE and may have promising roles for future diagnosis and targeted therapy.
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Biomarcadores , Modelos Animales de Enfermedad , Lupus Eritematoso Sistémico , MicroARNs , ARN Circular , Animales , Lupus Eritematoso Sistémico/genética , Lupus Eritematoso Sistémico/sangre , Lupus Eritematoso Sistémico/diagnóstico , ARN Circular/genética , ARN Circular/sangre , Biomarcadores/sangre , Ratas , MicroARNs/genética , MicroARNs/sangre , Factor 6 Asociado a Receptor de TNF/genética , Factor 6 Asociado a Receptor de TNF/metabolismo , Factor 6 Asociado a Receptor de TNF/sangre , Biología Computacional , Femenino , ARN Mensajero/genética , ARN Mensajero/metabolismo , ARN Mensajero/sangre , MasculinoRESUMEN
White, green, and oolong teas are produced from the tea plant (Camellia sinensis (L.) Kuntze) and are reported to have anti-obesity and hypolipidemic effects. The current study aims to investigate the anti-obesity effects of a tea mixture nano-formulation by targeting the AMPK/Sirt-1/GLUT-4 axis in rats. In vitro lipase and α-amylase inhibition assays were used to determine the active sample, which was then incorporated into a nanoparticle formulation subjected to in vivo anti-obesity testing in rats by measuring the expression level of different genes implicated in adipogenesis and inflammation using qRT-PCR. Moreover, metabolomic analysis was performed for each tea extract using LC/ESI MS/MS coupled to chemometrics in an attempt to find a correlation between the constituents of the extracts and their biological activity. The in vitro pancreatic lipase and α-amylase inhibition assays demonstrated more effective activity in the tea mixture than the standards, orlistat and acarbose, respectively, and each tea alone. Thus, the herbal tea mixture and its nanoparticle formulation were evaluated for their in vivo anti-obesity activity. Intriguingly, the tea mixture significantly decreased the serum levels of glucose and triglycerides and increased the mRNA expression of GLUT-4, P-AMPK, Sirt-1, and PPAR-γ, which induce lipolysis while also decreasing the mRNA expression of TNF-α and ADD1/SREBP-1c, thereby inhibiting the inflammation associated with obesity. Our study suggests that the tea mixture nano-formulation is a promising therapeutic agent in the treatment of obesity and may also be beneficial in other metabolic disorders by targeting the AMPK/Sirt-1/Glut-4 pathway.
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Circulating miRNAs have recently emerged as attractive candidates for biomarker discovery. However, they have a variant distribution in circulation, and the diagnostic significance of their compartmentalization is yet to be elucidated. This study explored the time-course expression profile and the diagnostic potential of miRNAs-122a-5p, 192-5p, 193a-3p and 194-5p in exosomal and total serum compartments in two rat models of acute liver injury (ALI)1. Exosomes were isolated and characterized in terms of morphology, size and CD-63 surface marker expression. Exosomal, serum and hepatic miRNAs were quantified using q-RT-PCR. An inverse expression pattern of hepatic and total serum miRNAs was observed following acetaminophen or thioacetamide-induced liver injury. Conversely, exosomal miRNAs expression pattern varied according to the type of injury. Overall, ROC analysis revealed superior discriminatory ability of exosomal miRNA-122a-5p following either acetaminophen or thioacetamide injury with earlier diagnostic potential and a wider diagnostic window compared to the corresponding total serum counterpart. Moreover, exosomal miRNAs showed higher correlation with ALT activity in both models. In conclusion, exosomal miRNA-122a-5p shows higher diagnostic performance with a broader diagnostic time window and an earlier diagnostic potential than its serum counterpart in ALI. Furthermore, exosomal miRNAs-122a-5p, 192-5p and 193a-3p exhibit an injury-specific signature in ALI and can be used not only as diagnostic tools in liver injury but also to differentiate between different etiologies of injury.