Optogenetic activation of intracellular signaling based on light-inducible protein-protein homo-interactions

Dynamic protein-protein interactions are essential for proper cell functioning.Homointeraction events—physical interactions between the same type of proteins—represent a pivotal subset of protein-protein interactions that are widely exploited in activating intracellular signaling pathways.Capacities of modulating protein-protein interactions with spatial and temporal resolution are greatly desired to decipher the dynamic nature of signal transduction mechanisms.The emerging optogenetic technology,based on genetically encoded light-sensitive proteins,provides promising opportunities to dissect the highly complex signaling networks with unmatched specificity and spatiotemporal precision.Here we review recent achievements in the development of optogenetic tools enabling light-inducible protein-protein homo-interactions and their applications in optical activation of signaling pathways.

Role of a Signalling System in Gene Interaction in Inheritance of Root System Characteristics of Arabidopsis thaliana (L.) Heynh.

The central problem of genetics is gene interaction since genes in the course of individual organism development interact with other genes, that’s why their effects may change. Studies for the last 100 years managed to discover that the entire diversity of inter-gene interactions is presented in four major forms: complementarity, epistasis, polymery, and modifying effect of genes. However, gene interaction mechanism which is reflected on the segregation nature of variously crossed hybrids has not been sufficiently studied. Exclusive of molecular genetics, biochemistry and physiology, a genetic analysis of inheritance of characteristics in gene interaction taken by itself cannot reveal nature of this interaction. Lately, molecular-genetic and physiological studies on A. thaliana mutants have enabled to isolate and sequence a wide range of genes controlling certain links of the signalling chain. At the same time, effect of the plant development regulation signalling system on interaction of these genes in inheritance of characteristics of Arabidopsis root system haven’t been studied so far which was a cause for our studies. Gene interaction problem is closely related to the plant development regulation signalling system. Mechanism involved in gene interaction may be explained based on current idea of molecular principles of biological response. Affected by mutations occurring in various genes that control certain links of the signalling chain, signalling path to the cell nucleus and response are blocked partially or in full which leads to distortion in expression of the characteristic on the plant level in general or its organ level. Such phenomenon is observed in realization of many characteristics in animals and plants, including in A. thaliana. In inheritance of such characteristics, as a rule, both allelic, and non-allelic gene interactions are observed. Results of a study of the plant signalling system interconnection and gene interaction in inheritance of characteristics of Arabidopsis root system are presented. It is established that complementary interaction of genes RHD3 and SAR1 is observed in the second crossing generation for plants of rhd3-1 × sar-1 mutant lines. When gpa1-3 × slr-1 mutant-line plants are crossed, recessive epistasis (slr-1 slr-1 > GPA1_) occurs in F2 generation. Polymeric interaction of genes SHY2 and MSG1 is observed in F2 in crossing of shy2-2 × msg1-2 mutant-line plants.

Linear theory of beam–wave interaction in double-slot coupled cavity travelling wave tube

A three-dimensional model of the double-slot coupled cavity slow-wave structure （CCSWS） with a solid round elec- tron beam for the beam-wave interaction is presented. Based on the ＂cold＂ dispersion, the ＂hot＂ dispersion equation is derived with the Maxwell equations by using the variable separation method and the field-matching method. Through numerical calculations, the effects of the electron beam parameters and the staggered angle between adjacent walls on the linear gain are analyzed.

Expression Patterns of OsPIL11,a Phytochrome-Interacting Factor in Rice,and Preliminary Analysis of Its Roles in Light Signal Transduction

The expression patterns of OsPILll, one of six putative phytochrome-interacting factors, were analyzed in different organs of transgenic tobacco （Nicotiana tabacum）. The expression of OsPIL 11 was organ-specific and was regulated by leaf development, abscisic acid （ABA）, jasmonic acid （JA） and salicylic acid （SA）. To further explore the role of OsPIL 11 in plant light signal transduction, a plant expression vector of OsPILll was constructed and introduced into tobacco. When grown under continuous red light, OsPILll-overexpressed transgenic tobacco exhibited shorter hypocotyls and larger cotyledons and leaves compared to wild-type seedlings. When grown under continuous far-red light, however, transgenic and wild-type seedlings showed similar phenotypes. These results indicate that OsPILll is involved in red light induced de-etiolation, but not in far-red light induced de-etiolation in transgenic tobacco, which lays the foundation for dissecting the function of OsPIL11 in phytochrome-mediated light signal transduction in rice.

BLIND SPEECH SEPARATION FOR ROBOTS WITH INTELLIGENT HUMAN-MACHINE INTERACTION

Speech recognition rate will deteriorate greatly in human-machine interaction when the speaker's speech mixes with a bystander's voice. This paper proposes a time-frequency approach for Blind Source Seperation (BSS) for intelligent Human-Machine Interaction(HMI). Main idea of the algorithm is to simultaneously diagonalize the correlation matrix of the pre-whitened signals at different time delays for every frequency bins in time-frequency domain. The prososed method has two merits: (1) fast convergence speed; (2) high signal to interference ratio of the separated signals. Numerical evaluations are used to compare the performance of the proposed algorithm with two other deconvolution algorithms. An efficient algorithm to resolve permutation ambiguity is also proposed in this paper. The algorithm proposed saves more than 10% of computational time with properly selected parameters and achieves good performances for both simulated convolutive mixtures and real room recorded speeches.

Integration of embryo–endosperm interaction into a holistic and dynamic picture of seed development using a rice mutant with notched-belly kernels

Interaction between the embryo and endosperm affects seed development,an essential process in yield formation in crops such as rice.Signals that mediate communication between embryo and endosperm are largely unknown.We used the notched-belly(NB)mutant with impaired communication between embryo and endosperm to investigate the effect of the embryo on developmental staging of the endosperm and signaling pathways in the embryo that regulate endosperm development.Hierachical clustering of m RNA datasets from embryo and endosperm samples collected during development in NB and a wild type showed a delaying effect of the embryo on the developmental transition of the endosperm by extension of the middle stage.K-means clustering further identified coexpression modules of gene sets specific to embryo and endosperm development.Combined gene expression and biochemical analysis showed that T6 P–Sn RK1,gibberellin and auxin signaling by the embryo regulate endosperm developmental transition.We propose a new seed developmental staging system for rice and identify the most detailed signature of rice grain formation to date.These will direct genetic strategies for rice yield improvement.

Application of interacting multi-model algorithm in gyro signal processing

There is one problem existing in gyroscope signal processing,which is that single models can＇ t adapt to change of carrier maneuvering process.Since it is difficult to identify the angular motion state of gyroscope carriers,interacting multiple model （IMM） is employed here to solve the problem.The Kalman filter-based IMM （IMMKF） algorithm is explained in detail and its application in gyro signal processing is introduced.And with the help of the Singer model,the system model set of gyro outputs is constructed.In order to demonstrate the effectiveness of the proposed approach,static experiment and dynamic experiment are carried out respectively.Simulation analysis results indicate that the IMMKF algorithm is excellent in eliminating gyro drift errors,which could adapt to the change of carrier maneuvering process well.

骨形态发生蛋白/Wnt信号通路调控成骨:揭示骨骼形成和重塑的分子机制

背景:成骨细胞是负责骨骼形成和重塑的主要细胞类型,其功能的正常发挥受到多种信号通路的精密调控,其中,骨形态发生蛋白和Wnt信号通路在成骨过程中起着关键作用。目的:综述了骨形态发生蛋白/Wnt信号通路在调控成骨细胞功能中的作用,并分析其在不同生理和病理条件下的变化,以期进一步揭示骨骼形成和重塑的分子机制。方法:以中文检索词“BMP信号通路,Wnt信号通路,成骨”及英文检索词“BMP signaling pathway,Wnt signaling pathway,osteogenesis”在中国知网、万方和PubMed数据库中检索研究原著,检索时限为各数据库建库至2023年6月的相关文献,最终筛选61篇文献进行分析总结。采用文献综述的方法,对骨形态发生蛋白/Wnt信号通路调控成骨作用的研究进行梳理和分析。结果与结论:①骨形态发生蛋白和Wnt信号通路在成骨细胞的分化、增殖和成熟过程中发挥重要作用。骨形态发生蛋白信号通路主要通过激活Smad蛋白来调控成骨相关基因的表达,Smad蛋白被激活后进入细胞核,调控与成骨相关的基因表达,与骨形态发生蛋白不同,Wnt信号通路主要依赖于β-catenin的激活来发挥生物学效应。②不同生理和病理状态下,骨形态发生蛋白/Wnt信号通路的调控作用会受到多种因素的影响。生长因子及激素及机械应力等会在一定程度上影响骨形态发生蛋白/Wnt信号通路的活性。③骨形态发生蛋白/Wnt信号通路在调控成骨过程中与其他信号通路相互作用,共同构成复杂的调控网络。④中药和天然化合物可以通过调控信号通路来促进骨骼健康,为中药治疗骨骼疾病提供了新的可能性。⑤未来研究可进一步探讨骨形态发生蛋白/Wnt信号通路与其他信号通路的相互作用以及其在不同生理和病理条件下的变化,解析此复杂网络中的关键节点和调控机制,为骨骼相关疾病的治疗提供更精确的靶点,也为揭示骨骼形成和重塑的分子机制提供新的思路。

Mutual regulation of microglia and astrocytes after Gas6 inhibits spinal cord injury

Invasive inflammation and excessive scar formation are the main reasons for the difficulty in repairing nervous tissue after spinal cord injury.Microglia and astrocytes play key roles in the spinal cord injury micro-environment and share a close interaction.However,the mechanisms involved remain unclear.In this study,we found that after spinal cord injury,resting microglia(M0)were polarized into pro-inflammatory phenotypes(MG1 and MG3),while resting astrocytes were polarized into reactive and scar-forming phenotypes.The expression of growth arrest-specific 6(Gas6)and its receptor Axl were significantly down-regulated in microglia and astrocytes after spinal cord injury.In vitro experiments showed that Gas6 had negative effects on the polarization of reactive astrocytes and pro-inflammatory microglia,and even inhibited the cross-regulation between them.We further demonstrated that Gas6 can inhibit the polarization of reactive astrocytes by suppressing the activation of the Yes-associated protein signaling pathway.This,in turn,inhibited the polarization of pro-inflammatory microglia by suppressing the activation of the nuclear factor-κB/p65 and Janus kinase/signal transducer and activator of transcription signaling pathways.In vivo experiments showed that Gas6 inhibited the polarization of pro-inflammatory microglia and reactive astrocytes in the injured spinal cord,thereby promoting tissue repair and motor function recovery.Overall,Gas6 may play a role in the treatment of spinal cord injury.It can inhibit the inflammatory pathway of microglia and polarization of astrocytes,attenuate the interaction between microglia and astrocytes in the inflammatory microenvironment,and thereby alleviate local inflammation and reduce scar formation in the spinal cord.

Traffic Signals Control with Adaptive Fuzzy Controller in Urban Road Network

An adaptive fuzzy logic controller (AFC) is presented for the signal control of the urban traffic network. The AFC is composed of the signal control system-oriented control level and the signal controller-oriented fuzzy rules regulation level. The control level decides the signal timings in an intersection with a fuzzy logic controller. The regulation level optimizes the fuzzy rules by the Adaptive Rule Module in AFC according to both the system performance index in current control period and the traffic flows in the last one. Consequently the system performances are improved. A weight coefficient controller (WCC) is also developed to describe the interactions of traffic flow among the adjacent intersections. So the AFC combined with the WCC can be applied in a road network for signal timings. Simulations of the AFC on a real traffic scenario have been conducted. Simulation results indicate that the adaptive controller for traffic control shows better performance than the actuated one.

Complex interactomes and post-translational modifications of the regulatory proteins HABP4 and SERBP1 suggest pleiotropic cellular functions

The 57 kDa antigen recognized by the Ki-1 antibody,is also known as intracellular hyaluronic acid binding protein 4 and shares 40.7%identity and 67.4%similarity with serpin mRNA binding protein 1,which is also named CGI-55,or plasminogen activator inhibitor type-1-RNA binding protein-1,indicating that they might be paralog proteins,possibly with similar or redundant functions in human cells.Through the identification of their protein interactomes,both regulatory proteins have been functionally implicated in transcriptional regulation,mRNA metabolism,specifically RNA splicing,the regulation of mRNA stability,especially,in the context of the progesterone hormone response,and the DNA damage response.Both proteins also show a complex pattern of post-translational modifications,involving Ser/Thr phosphorylation,mainly through protein kinase C,arginine methylation and SUMOylation,suggesting that their functions and locations are highly regulated.Furthermore,they show a highly dynamic cellular localization pattern with localizations in both the cytoplasm and nucleus as well as punctuated localizations in both granular cytoplasmic protein bodies,upon stress,and nuclear splicing speckles.Several reports in the literature show altered expressions of both regulatory proteins in a series of cancers as well as mutations in their genes that may contribute to tumorigenesis.This review highlights important aspects of the structure,interactome,post-translational modifications,sub-cellular localization and function of both regulatory proteins and further discusses their possible functions and their potential as tumor markers in different cancer settings.

Numerical Simulation Study of Vibration Characteristics of Cantilever Traffic Signal Support Structure under Wind Environment

Computational fluid dynamics(CFD)and the finite element method(FEM)are used to investigate the wind-driven dynamic response of cantilever traffic signal support structures as a whole.By building a finite element model with the same scale as the actual structure and performing modal analysis,a preliminary understanding of the dynamic properties of the structure is obtained.Based on the two-way fluid-structure coupling calculation method,the wind vibration response of the structure under different incoming flow conditions is calculated,and the vibration characteristics of the structure are analyzed through the displacement time course data of the structure in the crosswind direction and along-wind direction.The results show that the maximum response of the structure increases gradually with the increase of wind speed under 90°wind direction angle,showing a vibration dispersion state,and the vibration response characteristics are following the vibration phenomenon of galloping;under 270°wind direction angle,the maximum displacement response of the structure occurs at the lower wind speed of 5 and 6m/s,and the vibration generated by the structure is vortex vibration at this time;the displacement response of the structure in along-wind direction increaseswith the increase of wind speed.The along-wind displacement response of the structure will increase with increasing wind speed,and the effective wind area and shape characteristics of the structurewill also affect the vibration response of the structure.

Chemical Physics in Living Cells-using Light to Visualize and Control Intracellular Signal Transduction

Cells are crowded microenvironments filled with macromolecules undergoing constant phys- ical and chemical interactions. The physicochemical makeup of the cells aff）cts various cellular responses, determines cell-cell interactions and influences cell decisions. Chemical and physical properties diff）r between cells and within cells. Moreover, these properties are subject to dynamic changes in response to environmental signals, which often demand adjustments in the chemical or physical states of intracellular molecules. Indeed, cellular responses such as gene expression rely on the faithful relay of information from the outside to the inside of the cell, a process terrned signal transduction. The signal often traverses a complex path across subcellular spaces with variable physical chemistry, sometimes even influencing it. Understanding the molecular states of such signaling molecules and their intracellular environments is vital to our understanding of the cell. Exploring such intricate spaces is possible today largely because of experimental and theoretical tools. Here, we focus on one tool that is commonly used in chemical physics studies light. We summarize recent work which uses light to both visualize the cellular environment and also control intracel- lular processes along the axis of signal transduction. We highlight recent accomplishments in optical microscopy and optogenetics, an emerging experimental strategy which utilizes light to control the molecular processes in live cells. We believe that optogenetics lends un- precedented spatiotemporal precision to the manipulation of physicochemical properties in biological contexts. We hope to use this work to demonstrate new opportunities for chemical physicists who are interested in pursuing biological and biomedical questions.

Correlation between receptor-interacting protein 140 expression and directed differentiation of human embryonic stem cells into neural stem cells

Overexpression of receptor-interacting protein 140（RIP140） promotes neuronal differentiation of N2 a cells via extracellular regulated kinase 1/2（ERK1/2） signaling.However,involvement of RIP140 in human neural differentiation remains unclear.We found both RIP140 and ERK1/2 expression increased during neural differentiation of H1 human embryonic stem cells.Moreover,RIP140 negatively correlated with stem cell markers Oct4 and Sox2 during early stages of neural differentiation,and positively correlated with the neural stem cell marker Nestin during later stages.Thus,ERK1/2 signaling may provide the molecular mechanism by which RIP140 takes part in neural differentiation to eventually affect the number of neurons produced.

群体感应在噬菌体与细菌交互中的核心作用

在微生物生态系统中,细菌与噬菌体之间的复杂互动如同一场微观战争,而群体感应(quorum sensing,QS)系统则是这场战争中的关键通信网络。本文综述了QS系统的基本机制、对细菌群体行为的调控作用及其在细菌与噬菌体互作中的重要性。细菌通过分泌和感知特定信号分子,利用QS系统调控群体行为和基因表达,以应对环境变化和密度压力。而噬菌体作为细菌的克星,其编码的蛋白或产物能够干扰宿主的QS系统,从而影响宿主行为,进而提高噬菌体的感染和传播效率。深入研究QS系统在微生物交互中的作用,不仅有助于揭示微生物战争的复杂机制,还能推动耐药菌防治和生物技术的发展。

瑞马唑仑调节HIF-1α/BNIP3信号通路对OGD/R诱导神经细胞自噬和凋亡的影响

目的探讨瑞马唑仑对OGD/R诱导的神经细胞自噬和凋亡的影响及作用机制。方法体外培养小鼠海马神经元细胞(HT22)并进行神经细胞氧糖剥夺/再复氧(OGD/R),筛选实验用瑞马唑仑浓度;将HT22细胞分为对照组、OGD/R组、瑞马唑仑组、2-ME2组、瑞马唑仑+2-ME2组;CCK8法检测5组HT22细胞活力;流式细胞术检测5组HT22细胞凋亡率;透射电子显微镜观察5组HT22细胞自噬小体的形成;Western blot检测5组HT22细胞HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ的表达。结果确定实验用瑞马唑仑浓度为50μg/mL;与对照组比较,OGD/R组HT22细胞OD450值、HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ蛋白水平下调,凋亡率上调(P<0.05);与OGD/R组比较,瑞马唑仑组HT22细胞自噬小体增加,OD450值、HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ蛋白水平上调,凋亡率下调(P<0.05);2-ME2组HT22细胞OD450值、HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ蛋白水平下调,凋亡率上调(P<0.05)。与瑞马唑仑组比较,瑞马唑仑+2-ME2组HT22细胞自噬小体数量减少,OD450值、HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ蛋白水平下调,凋亡率上调(P<0.05);与2-ME2组比较,瑞马唑仑+2-ME2组HT22细胞OD450值、HIF-1α、BNIP3、LC3-Ⅱ/LC3-Ⅰ蛋白水平上调,凋亡率下调(P<0.05)。结论瑞马唑仑可通过激活HIF-1α/BNIP3信号通路促进OGD/R诱导的神经细胞自噬,抑制细胞凋亡,从而减轻OGD/R诱导的神经细胞损伤。

脉冲信号的奇异性分布熵特征分析

为了对低信噪比复杂环境下脉冲信号的奇异性差异进行有效的分析和标定,提出了一种基于模极大值理论的奇异性分布熵特征分析模型。首先对脉冲信号进行归一化并进行小波变换,计算各尺度下模极大值及其特定分布,可以体现具有奇异性差异的模极大值曲线族。为定量描述这种差异性,用熵值表达构成模极大值曲线族的模极大值点分布,并构建能有效分析脉冲信号奇异性差异的奇异性分布熵特征模型。该模型能对低噪比下信号的奇异性差异进行刻画。实验结果表明,在信噪比为-6 dB的环境下对典型的直升机脉冲信号(桨/涡干扰信号和高速脉冲信号)进行分析,能够得到89.25%和87.63%的正确率。

线粒体相关内质网膜及其在心肌缺血/再灌注损伤中作用的研究进展

一直以来,细胞器被认为具有各自特异的组成和结构,独立发挥作用。现在越来越多研究表明,相邻的不同细胞器之间可以通过蛋白-蛋白或蛋白-脂质形成膜接触点,从而发生相互作用。线粒体相关内质网膜(mitochondria-associated endoplasmic reticulum membranes,MAMs)是线粒体与内质网之间相互接触的膜结构,多种蛋白富集在MAMs上,对内质网和线粒体之间的物质交流及二者的功能,起严格的调控作用。在心肌缺血/再灌注损伤(myocardial ischemia-reperfusion injury,MIRI)中,MAMs参与线粒体分裂、线粒体自噬、氧化应激、钙失衡等一系列关键的病理进程,对病情的发展、转归起着极为重要的作用,是一个很有希望的治疗靶点。该文着重于MAMs的结构、功能和其对MIRI进程调控方面的研究进展,进行一个详细的综述。

基于生物信息学筛选肥胖症与A型主动脉夹层的共同生物标志物

目的筛选肥胖症与A型主动脉夹层(TAAD)的共同生物标志物,为肥胖症患者探索可能的TAAD预测因子。方法从基因表达数据库(gene expression omnibus,GEO)中下载TAAD和肥胖症相关表达谱芯片数据,使用GEO2R筛选差异表达基因,依据Venn图获取差异共表达基因,在DAVID网站进行基因功能注释(gene ontology,GO)和功能富集分析(kyoto encyclopedia of genes and genomes,KEGG),结合STRING网站和Cytoscape 3.8.2软件进行蛋白互作分析。结果从2个数据集筛选得到差异共表达基因30个,鉴别出5个枢纽基因ITGAX,CD163,S100A9,SPP1和IL-6。结论TAAD和肥胖症有着共同的致病基因,它们可能成为A型主动脉夹层合并肥胖症患者的生物学预测因子和潜在药物治疗靶点。

D-天冬氨酸对溃疡性结肠炎小鼠肠道细胞坏死关键信号分子及肠道微生物组成的影响

本试验旨在探讨D-天冬氨酸(D-Asp)对葡聚糖硫酸钠(DSS)诱导的溃疡性结肠炎(UC)小鼠肠道细胞坏死关键信号分子及肠道微生物组成的影响。试验选取40只C57BL/6J雄性小鼠,初始体重为(20.98±0.14)g,随机分为5组:对照组(CON组)、葡聚糖硫酸钠组(DSS组)、低浓度D-天冬氨酸组(L-Dasp组)、中浓度D-天冬氨酸组(M-Dasp组)、高浓度D-天冬氨酸组(H-Dasp组)。每组8个重复,每个重复1只小鼠。试验前7 d,CON组小鼠饮用蒸馏水,其他各组小鼠饮用含3.5%DSS的蒸馏水;从第8天开始,CON组和DSS组小鼠直肠灌注100μL生理盐水,L-Dasp组、M-Dasp组和H-Dasp组直肠灌注100μL浓度分别为0.15、2.30和7.70 mmol/L的D-Asp溶液,每隔1 d灌注1次,共灌注5次。结果表明:1)与CON组相比,DSS组结肠细胞凋亡率显著升高(P<0.05),线粒体出现明显肿胀,呈空泡状,且数量减少(P>0.05)。与DSS组相比,L-Dasp、M-Dasp和H-Dasp组的结肠细胞凋亡率均显著降低(P<0.05),结肠细胞线粒体数量均显著升高(P<0.05)。2)与CON组相比,DSS组的结肠Toll样受体4(TLR4)和白细胞介素-1β(IL-1β)mRNA相对表达量显著升高(P<0.05);与DSS组相比,M-Dasp组的结肠TLR4 mRNA相对表达量显著降低(P<0.05)。各组之间结肠白细胞介素-1α(IL-1α)、白细胞介素-6(IL-6)和肿瘤坏死因子-α(TNF-α)含量无显著差异(P>0.05)。3)与CON组相比,DSS组的结肠受体相互作用蛋白激酶1(RIPK1)蛋白相对表达量显著升高(P<0.05);与DSS组相比,L-Dasp、M-Dasp和H-Dasp组的结肠RIPK1蛋白相对表达量显著降低(P<0.05),H-Dasp组的结肠受体相互作用蛋白激酶3(RIPK3)蛋白相对表达量显著降低(P<0.05)。4)与CON组相比,DSS组的结肠放线菌门(Actinobacteria)相对丰度显著升高(P<0.05);与DSS组相比,L-Dasp组、M-Dasp组和H-Dasp组的结肠放线菌门相对丰度显著降低(P<0.05)。与CON组相比,DSS组的结肠另枝菌属(Alistipes)相对丰度显著降低(P<0.05),结肠芽孢杆菌属(Bacillus)和糖多孢菌属(Saccharopolyspora)相对丰度显著升高(P<0.05);与DSS组相比,L-Dasp组、MDasp组和H-Dasp组的结肠芽孢杆菌属和糖多孢菌属相对丰度显著降低(P<0.05)。综上所述,D-Asp可通过调控受体相互作用蛋白信号通路表达和肠道微生物组成来减少UC小鼠细胞凋亡,改善线粒体形态和提高免疫力。