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        Sampled-data-based Event-triggered Control for Multi-agent Systems under Antagonistic Interactions

        Yanan Qi,Rui Mu,Xianfu Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.8

        In this paper, the leaderless consensus problem is considered for multi-agent systems under antagonistic interactions. Based on the sampled data, we propose an event-triggered mechanism to determine when the current state should be transmitted. This mechanism inherits the merits of both periodic and event-triggered transmission ways, thus reducing the energy consumption. Then, an event-triggered protocol is designed in a fully distributed manner to guarantee the consensus with the same magnitude but opposite sign. Different from the existing results, the designed protocol is implemented for a general digraph containing a spanning tree, and there is no restriction on the sampling period. Finally, the achievement of consensus and the validity of the obtained protocol are demonstrated by simulations.

      • KCI등재

        Dissecting Causal Relationships Between Gut Microbiota, Blood Metabolites, and Stroke: A Mendelian Randomization Study

        Wang Qi,Dai Huajie,Hou Tianzhichao,Hou Yanan,Wang Tiange,Lin Hong,Zhao Zhiyun,Li Mian,Zheng Ruizhi,Wang Shuangyuan,Lu Jieli,Xu Yu,Liu Ruixin,Ning Guang,Wang Weiqing,Bi Yufang,Zheng Jie,Xu Min 대한뇌졸중학회 2023 Journal of stroke Vol.25 No.3

        Background and Purpose We investigated the causal relationships between the gut microbiota (GM), stroke, and potential metabolite mediators using Mendelian randomization (MR). Methods We leveraged the summary statistics of GM (n=18,340 in the MiBioGen consortium), blood metabolites (n=115,078 in the UK Biobank), and stroke (cases n=60,176 and controls n=1,310,725 in the Global Biobank Meta-Analysis Initiative) from the largest genome-wide association studies to date. We performed bidirectional MR analyses to explore the causal relationships between the GM and stroke, and two mediation analyses, two-step MR and multivariable MR, to discover potential mediating metabolites. Results Ten taxa were causally associated with stroke, and stroke led to changes in 27 taxa. In the two-step MR, <i>Bifidobacteriales</i> order, <i>Bifidobacteriaceae</i> family, <i>Desulfovibrio</i> genus, apolipoprotein A1 (ApoA1), phospholipids in high-density lipoprotein (HDL_PL), and the ratio of apolipoprotein B to ApoA1 (ApoB/ApoA1) were causally associated with stroke (all <i>P</i><0.044). The causal associations between <i>Bifidobacteriales</i> order, <i>Bifidobacteriaceae</i> family and stroke were validated using the weighted median method in an independent cohort. The three GM taxa were all positively associated with ApoA1 and HDL_PL, whereas <i>Desulfovibrio</i> genus was negatively associated with ApoB/ApoA1 (all <i>P</i><0.010). Additionally, the causal associations between the three GM taxa and ApoA1 remained significant after correcting for the false discovery rate (all q-values <0.027). Multivariable MR showed that the associations between <i>Bifidobacteriales</i> order, <i>Bifidobacteriaceae</i> family and stroke were mediated by ApoA1 and HDL_PL, each accounting for 6.5% (<i>P</i>=0.028) and 4.6% (<i>P</i>=0.033); the association between <i>Desulfovibrio</i> genus and stroke was mediated by ApoA1, HDL_PL, and ApoB/ApoA1, with mediated proportions of 7.6% (<i>P</i>=0.019), 4.2% (<i>P</i>=0.035), and 9.1% (<i>P</i>=0.013), respectively. Conclusion The current MR study provides evidence supporting the causal relationships between several specific GM taxa and stroke and potential mediating metabolites.

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        LincR-PPP2R5C Promotes Th2 Cell Differentiation Through PPP2R5C/PP2A by Forming an RNA–DNA Triplex in Allergic Asthma

        Ji Ningfei,Chen Zhongqi,Wang Zhengxia,Sun Wei,Yuan Qi,Zhang Xijie,Jia Xinyu,Wu Jingjing,Jiang Jingxian,Song Meijuan,Xu Tingting,Liu Yanan,Ma Qiyun,Sun Zhixiao,Bao Yanmin,Zhang Mingshun,Huang Mao 대한천식알레르기학회 2024 Allergy, Asthma & Immunology Research Vol.16 No.1

        Purpose: The roles and mechanisms of long noncoding RNAs (lncRNAs) in T helper 2 (Th2) differentiation from allergic asthma are poorly understood. We aimed to explore a novel lncRNA, LincR-protein phosphatase 2 regulatory subunit B' gamma (PPP2R5C), in Th2 differentiation in a mouse model of asthma. Methods: LincR-PPP2R5C from RNA-seq data of CD4+ T cells of asthma-like mice were validated and confirmed by quantitative reverse transcription polymerase chain reaction, northern blotting, nuclear and cytoplasmic separation, and fluorescence in situ hybridization (FISH). Lentiviruses encoding LincR-PPP2R5C or shRNA were used to overexpress or silence LincR-PPP2R5C in CD4+ T cells. The interactions between LincR-PPP2R5C and PPP2R5C were explored with western blotting, chromatin isolation by RNA purification assay, and fluorescence resonance energy transfer. An ovalbumin-induced acute asthma model in knockout (KO) mice (LincR-PPP2R5C KO, CD4 conditional LincR-PPP2R5C KO) was established to explore the roles of LincR-PPP2R5C in Th2 differentiation. Results: LncR-PPP2R5C was significantly higher in CD4+ T cells from asthmatic mice ex vivo and Th2 cells in vitro. The lentivirus encoding LincR-PPP2R5C suppressed Th1 differentiation; in contrast, the short hairpin RNA (shRNA) lentivirus decreased LincR-PPP2R5C and Th2 differentiation. Mechanistically, LincR-PPP2R5C deficiency suppressed the phosphatase activity of the protein phosphatase 2A (PP2A) holocomplex, resulting in a decline in Th2 differentiation. The formation of an RNA-DNA triplex between LincR-PPP2R5C and the PPP2R5C promoter enhanced PPP2R5C expression and activated PP2A. LincR-PPP2R5C KO and CD4 conditional KO decreased Th2 differentiation, airway hyperresponsiveness and inflammatory responses. Conclusions: LincR-PPP2R5C regulated PPP2R5C expression and PP2A activity by forming an RNA-DNA triplex with the PPP2R5C promoter, leading to Th2 polarization in a mouse model of acute asthma. Our data presented the first definitive evidence of lncRNAs in the regulation of Th2 cells in asthma.

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