Rationale: Macrophages play critical roles in the pathogenesis of type 1 diabetes mellitus (T1DM). Circular RNAs (circRNAs) are a novel class of endogenous RNAs with covalently closed loop structures, implicated in various disease processes. However, their impact on macrophage activation and T1DM pathogenesis remains elusive. Methods: circRNA expression profiles of peripheral blood mononuclear cells (PBMCs) from T1DM children were determined by whole transcriptome microarray. Bioinformatics, quantitative real-time PCR, Western blot, RNA immunoprecipitation (RIP), cell co-culture, cell proliferation, and cell apoptosis assays were performed to investigate the expression, function, and regulatory mechanisms of circPPM1F in vitro . The regulatory role of circPPM1F in vivo was evaluated in the streptozocin-induced diabetic mouse model. Results: We identified 27 upregulated and 31 downregulated differentially expressed circRNAs in T1DM patients. circPPM1F , a circRNA with unknown function, was dominantly expressed in monocytes and significantly upregulated in T1DM patients. Functionally, circPPM1F promoted lipopolysaccharide (LPS)-induced M1 macrophage activation via enhancement of the NF-κB signaling pathway. Mechanistically, circPPM1F competitively interacted with HuR to impair the translation of protein phosphatase, Mg 2+ /Mn 2+ dependent 1F (PPM1F), thus alleviating the inhibitory effect of PPM1F on the NF-κB pathway. Moreover, eukaryotic initiation factor 4A-III (EIF4A3) and fused in sarcoma (FUS) coordinately regulated circPPM1F expression during M1 macrophage activation. In addition, circPPM1F could exacerbate pancreas injury in the streptozocin-induced diabetic mice by activation of M1 macrophages in vivo . Conclusions: circPPM1F is a novel positive regulator of M1 macrophage activation through the circPPM1F -HuR-PPM1F-NF-κB axis. Overexpression of circPPM1F could promote pancreatic islet injury by enhancing M1 macrophage activation and circPPM1F may serve as a novel potential therapeutic target for T1DM in children.
The immune-response gene 1 (IRG1) plays a key role in anti-pathogen defense, as deletion of Irg1 in mice causes severe defects in response to bacterial and viral infection, and decreased survival 1, 2 . IRG1 transcription is rapidly induced by pathogen infection and in ammatory conditions primarily in cells of myeloid lineage 3 . IRG1 encodes a mitochondrial metabolic enzyme, aconitate decarboxylase 1 (ACOD1), that catalyzes the decarboxylation of cis-aconitate to produce the anti-in ammatory metabolite itaconic acid (ITA) 4 . Several molecular processes are affected by ITA, including succinate dehydrogenase (SDH) inhibition 5 , resulting in succinate accumulation and metabolic reprogramming 6,7 , and alkylation of protein cysteine residues, inducing the electrophilic stress response mediated by NRF2 and IκBζ 8, 9 and impairing aerobic glycolysis 10 . However, the mechanisms by which ITA exerts its profound antiin ammatory effect still remains to be fully elucidated. Here, we show that ITA is a potent inhibitor of the TET family DNA dioxygenases, which catalyze the conversion of 5-methylcytosine (5mC) to 5hydroxymethylcytosine (5hmC) during the process of active DNA demethylation. ITA binds to the same site of α-ketoglutarate (α-KG) in TET2, inhibiting its catalytic activity. Lipopolysaccharides (LPS) treatment, which induces Irg1 expression and ITA accumulation, inhibits Tet activity in macrophages. Transcriptome analysis reveals TET2 is a major target of ITA in suppressing LPS-induced genes, including those regulated by NF-κB and STAT signaling pathways. In vivo, ITA decreases 5hmC, reduces LPS-induced acute pulmonary edema and lung and liver injury, and protects mice against lethal endotoxaemia in a manner that is dependent on the catalytic activity of Tet2. Our study thus identi es ITA as an immune modulatory metabolite that selectively inhibits TET enzymes to dampen the in ammatory response. MainDeletion of the Irg1 gene or treatment with cell permeable ITA alters the transcriptional signature in response to LPS 2 . We speculated that ITA may impact epigenetics to in uence gene expression, and therefore, we determined the effect of Irg1 expression and ITA accumulation on global histone and DNA de/methylation in transfected HEK293T cells (Extended Data Fig. 1a). We found that ectopic expression of either wild-type or catalytic inactive mutant Irg1 had little effect on mono-, di-, and trimethylation of all ve histone H3 lysine residues (Extended Data Fig. 1b, 1c). In contrast, expression of wild-type Irg1, but not the catalytic inactive mutant, dramatically reduced Tet2-mediated global 5hmC in cells (Fig. 1a and Extended Data Fig. 1d-e). Like α-KG, which is a crucial co-substrate for the activity of TET2, ITA is also a dicarboxylic acid containing a 4-or 5-carboxylate that, in the case of α-KG, forms hydrogen and ionic bonds with H1416, R1896, and S1898 in TET2 11 . Of note, α-KG binds to Fe(II) in a bidentate manner via its C-1 carboxylate and C-2 keto groups, which are lacking in ITA. This raises the possibi...
Circular RNAs (circRNAs) constitute a class of covalently circular non-coding RNA molecules formed by 5′ and 3′ end back-splicing. The rapid development of bioinformatics and large-scale sequencing has led to the identification of functional circRNAs. Despite an overall upward trend, studies focusing on the roles of circRNAs in immune diseases remain relatively scarce. In the present study, we obtained a differential circRNA expression profile based on microarray analysis of peripheral blood mononuclear cells (PBMCs) in children with type 1 diabetes mellitus (T1DM). We characterized one differentially expressed circRNA back-spliced from the MYB Proto-Oncogene Like 2 ( MYBL2 ) gene in patients with T1DM, termed as hsa_circ_0060450 . Subsequent assays revealed that hsa_circ_0060450 can serve as the sponge of miR-199a-5p, release its target gene, Src homology 2 (SH2)-containing protein tyrosine phosphatase 2 (SHP2), encoded by the tyrosine-protein phosphatase non-receptor type 11 gene ( PTPN11 ), and further suppress the JAK-STAT signaling pathway triggered by type I interferon (IFN-I) to inhibit macrophage-mediated inflammation, which indicates the important roles of circRNAs in T1DM and represents a promising therapeutic molecule in the treatment of T1DM.
BackgroundVolatile anesthetics are widely used in pediatric anesthesia but their potential neurotoxicity raise significant concerns regarding sequelae after anesthesia. However, whether physiological disturbance during anesthetic exposure contributes to such side effects remains unknown. The aim of the current study is to compare the neurotoxic effects of isoflurane and sevoflurane in 14 day old rat pups under spontaneous breathing or ventilated conditions.MethodsPostnatal 14 day rats were assigned to one of five groups: 1) spontaneous breathing (SB) + room air (control, n = 17); 2) SB + isoflurane (n = 35); 3) SB + sevoflurane (n = 37); 4) mechanical ventilation (MV) + isoflurane (n = 29); 5) MV + sevoflurane (n = 32). Anesthetized animal received either 1.7% isoflurane or 2.4% seveoflurane for 4 hours. Arterial blood gases and blood pressure were monitored in the anesthetized groups. Neurodegeneration in the CA3 region of hippocampus was assessed with terminal deoxynucleotidyl transferase-mediated DNA nick-end labeling immediately after exposure. Spatial learning and memory were evaluated with the Morris water maze in other cohorts 14 days after experiments.ResultsMost rats in the SB groups developed physiological disturbance whereas ventilated rats did not but become hyperglycemic. Mortality from anesthesia in the SB groups was significantly higher than that in the MV groups. Cell death in the SB but not MV groups was significantly higher than controls. SB + anesthesia groups performed worse on the Morris water maze behavioral test, but no deficits were found in the MV group compared with the controls.ConclusionsThese findings could suggest that physiological disturbance induced by isoflurane or sevoflurane anesthesia may also contribute to their neurotoxicity.
Abstract:With the large scale operation of electric buses (EBs), the arrangement of their charging optimization will have a significant impact on the operation and dispatch of EBs as well as the charging costs of EB companies. Thus, an accurate grasp of how external factors, such as the weather and policy, affect the electric consumption is of great importance. Especially in recent years, haze is becoming increasingly serious in some areas, which has a prominent impact on driving conditions and resident travel modes. Firstly, the grey relational analysis (GRA) method is used to analyze the various external factors that affect the power consumption of EBs, then a characteristic library of EBs concerning similar days is established. Then, the wavelet neural network (WNN) is used to train the power consumption factors together with power consumption data in the feature library, to establish the power consumption prediction model with multiple factors. In addition, the optimal charging model of EBs is put forward, and the reasonable charging time for the EB is used to achieve the minimum operating cost of the EB company. Finally, taking the electricity consumption data of EBs in Baoding and the data of relevant factors as an example, the power consumption prediction model and the charging optimization model of the EB are verified, which provides an important reference for the optimal charging of the EB, the trip arrangement of the EB, and the maximum profit of the electric public buses.
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