基于注意力机制与LSTM-CCN的月降水量预测

针对现有月降水量预测方法预测准确性不高的问题,提出一种基于注意力机制与LSTM-CCN的月降水量预测方法。首先,利用长短时记忆神经网络(long short-term memory neural network,LSTM)提取气象数据在时间维度的特征分布,从时间相关性方面捕获相邻时间段或长距离气象数据段中的统计分布;其次,利用因果卷积神经网络(causal convolutional network,CCN)将气象数据映射到空间维度,深层次地从空间维度捕获气象数据在空间中的特征统计分布;再次,以并联的方式将时间和空间特征作为交叉注意力网络的输入,构造融合的时空特征;最后,以长短时记忆神经网络构造解码器,并将融合的时空特征作为解码器的输入,预测的月降水量作为输出。选取河南省新乡市2001~2017年数据集进行测试,结果表明:所提出方法的均方根误差仅为13.08 mm,相比主流方法具有更低的预测误差。研究成果可为提高气象预测的准确性和实用性提供参考。

CCN家族蛋白在糖尿病肾病中的作用

糖尿病肾脏疾病(DKD)是一类以进行性肾组织纤维化为特征的肾脏疾病。在明确糖尿病为肾损害病因并排除其他原因引起的慢性肾脏病(CKD)前提下,1型和2型糖尿病患者出现持续性白蛋白尿,或估算肾小球滤过率进行性下降大于3个月,或肾活检符合DKD病理诊断,可诊断为DKD。细胞通讯网络(CCN)家族蛋白是一组细胞间基质蛋白,参与调解生长、凋亡、衰老、自噬、迁移、分化和炎症等重要细胞病理生理改变。新近研究显示,CCN家族蛋白在DKD大鼠肾脏模型中表达显著上调,提示其在DKD肾小管上皮细胞发生上皮-间充质转化(EMT)和肾间质纤维化进展中发挥重要作用。本文综述了CCN家族蛋白介导DKD肾脏损伤的作用及机制,以探索DKD潜在的治疗靶点。

血清CCN5与房颤患者左房低电压面积的相关性研究

目的:探讨房颤患者血清CCN5水平是否可以预测左房低电压面积(LVZ)的大小。方法:选取2023年6月到2024年1月于烟台毓璜顶医院就诊的窦性心律患者(对照组) 79例以及首次接受心脏射频消融术的房颤患者(房颤组)114例。收集一般资料、生化、心电图、心脏超声等临床资料。按术中行基质电压标测所得的LVZ是否大于6%将患者分为A组(LVZ Objective: To explore whether the serum CCN5 levels associated with atrial fibrosis can predict LVZ in patients with atrial fibrillation. Methods: In this study, 79 patients with sinus rhythm (control group) and 114 patients with atrial fibrillation (atrial fibrillation group) who received radiofrequency cardiac ablation for the first time in Yantai Yuhuangding Hospital between June 2023 and January 2024 were enrolled. General data, biochemistry, electrocardiogram, cardiac ultrasound and other clinical data were collected. Left atrial stroma voltage mapping was performed in patients with atrial fibrillation and LVZ area ratio was calculated. Patients were divided into group A (LVZ < 6%) and group B (LVZ ≥ 6%) according to whether LVZ was greater than 6%. The expression level of CCN5 in peripheral blood was measured by enzyme-linked immunosorbent assay. T test was used to compare the CCN5 expression level between the control group and the atrial fibrillation group. Pearson or Spearman correlation analysis was used to explore the correlation between CCN5 and clinical data. Binary Logistic regression analysis was used to determine the risk factors affecting the LVZ, and receiver operating characteristic (ROC) analysis was down to determine the cut-off value of CCN5 to predict LVZ. Results: The level of CCN5 in patients with atrial fibrillation was lower than in control group (32.43 ± 6.15 vs. 25.46 ± 4.97, P < 0.001). For atrial fibrillation patients with LVZ < 6%, blood CCN5 expression levels were lower in patients with LVZ ≥ 6% (30.10 ± 6.75 vs. 24.75 ± 3.49, P < 0.001). In patients with atrial fibrillation, CCN5 was negatively correlated with BNP level, left atrial diameter and left atrial low-voltage area ratio (P < 0.05). Logistic regression analysis suggested that blood CCN5 level was an independent risk factor for LVZ. ROC curve showed that in patients with atrial fibrillation, the optimal blood concentration of CCN5 to predict LVZ ≥ 6% was 27.22 ng/ml, sensitivity was 0.707, specificity was 0.773, and area under the curve was 0.785 [P < 0.001, CI: (0.696, 0.873)]. Conclusion: Serum CCN5 can independently predict the proportion of left atrial low-voltage area in patients with atrial fibrillation.

Insights into microbiota community dynamics and flavor development mechanism during golden pomfret(Trachinotus ovatus)fermentation based on single-molecule real-time sequencing and molecular networking analysis

Popular fermented golden pomfret(Trachinotus ovatus)is prepared via spontaneous fermentation;however,the mechanisms underlying the regulation of its flavor development remain unclear.This study shows the roles of the complex microbiota and the dynamic changes in microbial community and flavor compounds during fish fermentation.Single-molecule real-time sequencing and molecular networking analysis revealed the correlations among different microbial genera and the relationships between microbial taxa and volatile compounds.Mechanisms underlying flavor development were also elucidated via KEGG based functional annotations.Clostridium,Shewanella,and Staphylococcus were the dominant microbial genera.Forty-nine volatile compounds were detected in the fermented fish samples,with thirteen identified as characteristic volatile compounds(ROAV>1).Volatile profiles resulted from the interactions among the microorganisms and derived enzymes,with the main metabolic pathways being amino acid biosynthesis/metabolism,carbon metabolism,and glycolysis/gluconeogenesis.This study demonstrated the approaches for distinguishing key microbiota associated with volatile compounds and monitoring the industrial production of high-quality fermented fish products.

Inhibitory effect of saffron on head and neck squamous cell carcinoma via targeting of ESR1 and CCND1 by its active compound crocetin

Background:Traditional Chinese medicine is promising for managing challenging and complex disorders,including cancer,and in particular,saffron is applied in treating various cancer types.However,its potential therapeutic efficacy and active components in managing squamous cell carcinoma of the head and neck(HNSCC)remain unclear yet.Methods:Using network pharmacology approaches,active ingredients of saffron,their target genes,and HNSCC-related genes were identified.Enrichment analyses were conducted for determining molecular functions and pathways enriched by genes that overlapped between the saffron target gene set and the HNSCC gene set.Among the four known active ingredients of saffron,crocetin was found to have the strongest inhibitory impact on HNSCC,based on the findings of cell viability and migration assays.Therefore,the potential target genes of crocetin in HNSCC cells were examined using molecular docking experiments and were confirmed by qPCR.Result s:Four active ingredients of saffron and 184 of their target genes were identified.Further,a total of 34 overlapping saffron-/HNSCC-associated targets related to the four active ingredients were screened,and crocetin was chosen for further investigation because it had the strongest inhibitory effect on HNSCC cells.Molecular docking experiments indicated that ESR1 and CCND1 were the target genes of crocetin.These results were confirmed through qPCR analysis,in which crocetin was found to lower the expression of the ESR1 and CCND1 genes in AMC-HN-8 and FaDu cells.Conclusion:According to our results,crocetin is a primary active anti-cancer component of saffron that may have potential in the development of novel HNSCC-treating medications.However,more thorough molecular research is necessary for confirming these results and elucidating the anti-cancer mechanism underlying saffron.

Threshold-Based Software-Defined Networking(SDN)Solution for Healthcare Systems against Intrusion Attacks

The healthcare sector holds valuable and sensitive data.The amount of this data and the need to handle,exchange,and protect it,has been increasing at a fast pace.Due to their nature,software-defined networks(SDNs)are widely used in healthcare systems,as they ensure effective resource utilization,safety,great network management,and monitoring.In this sector,due to the value of thedata,SDNs faceamajor challengeposed byawide range of attacks,such as distributed denial of service(DDoS)and probe attacks.These attacks reduce network performance,causing the degradation of different key performance indicators(KPIs)or,in the worst cases,a network failure which can threaten human lives.This can be significant,especially with the current expansion of portable healthcare that supports mobile and wireless devices for what is called mobile health,or m-health.In this study,we examine the effectiveness of using SDNs for defense against DDoS,as well as their effects on different network KPIs under various scenarios.We propose a threshold-based DDoS classifier(TBDC)technique to classify DDoS attacks in healthcare SDNs,aiming to block traffic considered a hazard in the form of a DDoS attack.We then evaluate the accuracy and performance of the proposed TBDC approach.Our technique shows outstanding performance,increasing the mean throughput by 190.3%,reducing the mean delay by 95%,and reducing packet loss by 99.7%relative to normal,with DDoS attack traffic.

Dynamic Networking Method of Vehicles in VANET

Vehicular Ad-hoc Networks(VANETs)make it easy to transfer information between vehicles,and this feature is utilized to enable collaborative decision-making between vehicles to enhance the safety,economy,and entertainment of vehicle operation.The high mobility of vehicles leads to a time-varying topology between vehicles,which makes inter-vehicle information transfer challenging in terms of delay control and ensuring the stability of collaborative decision-making among vehicles.The clustering algorithm is a method aimed at improving the efficiency of VANET communication.Currently,most of the research based on this method focuses on maintaining the stability of vehicle clustering,and few methods focus on the information interaction and collaborative decisionmaking of vehicles in the region.In this context,this paper proposes a networking method for intra-regional vehicle information interaction,through an efficient information transmission mechanism,vehicles can quickly obtain the required information and make more accurate decisions.Firstly,this networking method utilizes DBSCAN and the proposed vehicle scoring model to form clusters,ensuring the stability and adaptability of clusters;secondly,in the process of interacting with the information,the cosine similarity is utilized to check the similarity of the information to eliminate the highly similar information,effectively reducing redundant information;and lastly,in the case of a consensus reached by the cluster,the frequency of broadcasting of information between vehicles is reduced as a way to minimize the waste of communication resources.The proposed method is simulated based on Python and Sumo platforms,and several metrics such as cluster clustering situation,information volume,and state change rate are analyzed.The results show that the method maintains better cluster stability with a 60%and 92%reduction in information overhead compared to the FVC and HCAR algorithms,respectively.

The Caching and Pricing Strategy for Information-Centric Networking with Advertisers’Participation

As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.

Open-Source Software Defined Networking Controllers:State-of-the-Art,Challenges and Solutions for Future Network Providers

Software Defined Networking(SDN)is programmable by separation of forwarding control through the centralization of the controller.The controller plays the role of the‘brain’that dictates the intelligent part of SDN technology.Various versions of SDN controllers exist as a response to the diverse demands and functions expected of them.There are several SDN controllers available in the open market besides a large number of commercial controllers;some are developed tomeet carrier-grade service levels and one of the recent trends in open-source SDN controllers is the Open Network Operating System(ONOS).This paper presents a comparative study between open source SDN controllers,which are known as Network Controller Platform(NOX),Python-based Network Controller(POX),component-based SDN framework(Ryu),Java-based OpenFlow controller(Floodlight),OpenDayLight(ODL)and ONOS.The discussion is further extended into ONOS architecture,as well as,the evolution of ONOS controllers.This article will review use cases based on ONOS controllers in several application deployments.Moreover,the opportunities and challenges of open source SDN controllers will be discussed,exploring carriergrade ONOS for future real-world deployments,ONOS unique features and identifying the suitable choice of SDN controller for service providers.In addition,we attempt to provide answers to several critical questions relating to the implications of the open-source nature of SDN controllers regarding vendor lock-in,interoperability,and standards compliance,Similarly,real-world use cases of organizations using open-source SDN are highlighted and how the open-source community contributes to the development of SDN controllers.Furthermore,challenges faced by open-source projects,and considerations when choosing an open-source SDN controller are underscored.Then the role of Artificial Intelligence(AI)and Machine Learning(ML)in the evolution of open-source SDN controllers in light of recent research is indicated.In addition,the challenges and limitations associated with deploying open-source SDN controllers in production networks,how can they be mitigated,and finally how opensource SDN controllers handle network security and ensure that network configurations and policies are robust and resilient are presented.Potential opportunities and challenges for future Open SDN deployment are outlined to conclude the article.

CCN4在膀胱癌中的表达及作用机制探索

膀胱癌是最常见的泌尿系恶性肿瘤,其发病率在全球排名第9,病死率排名第13[1]。然而关于膀胱癌的发生、发展机制仍不清楚,当前关于膀胱癌尚缺乏有效的生物标志物进行诊断及预后分析。细胞通讯网络因子4(cellular communication network factor 4,CCN4),又称WNT1介导信号通路蛋白1(WNT1 inducible signaling pathway protein,WISP1),属于结缔组织生长因子家族,位于WNT1信号通路下游并可能与肿瘤恶性转化有关[2-3]。

Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network(LUCCN):First Integrated Campaign in China

In this study,we introduce our newly developed measurement-fed-perception self-adaption Low-cost UAV Coordinated Carbon Observation Network(LUCCN)prototype.The LUCCN primarily consists of two categories of instruments,including ground-based and UAV-based in-situ measurement.We use the GMP343,a low-cost non-dispersive infrared sensor,in both ground-based and UAV-based instruments.The first integrated measurement campaign took place in Shenzhen,China,4 May 2023.During the campaign,we found that LUCCN’s UAV component presented significant data-collecting advantages over its ground-based counterpart owing to the relatively high altitudes of the point emission sources,which was especially obvious at a gas power plant in Shenzhen.The emission flux was calculated by a crosssectional flux(CSF)method,the results of which differed from the Open-Data Inventory for Anthropogenic Carbon dioxide(ODIAC).The CSF result was slightly larger than others because of the low sampling rate of the whole emission cross section.The LUCCN system will be applied in future carbon monitoring campaigns to increase the spatiotemporal coverage of carbon emission information,especially in scenarios involving the detection of smaller-scale,rapidly varying sources and sinks.

Examining the Quality Metrics of a Communication Network with Distributed Software-Defined Networking Architecture

Software-Defined Networking(SDN),with segregated data and control planes,provides faster data routing,stability,and enhanced quality metrics,such as throughput(Th),maximum available bandwidth(Bd(max)),data transfer(DTransfer),and reduction in end-to-end delay(D(E-E)).This paper explores the critical work of deploying SDN in large-scale Data Center Networks(DCNs)to enhance its Quality of Service(QoS)parameters,using logically distributed control configurations.There is a noticeable increase in Delay(E-E)when adopting SDN with a unified(single)control structure in big DCNs to handle Hypertext Transfer Protocol(HTTP)requests causing a reduction in network quality parameters(Bd(max),Th,DTransfer,D(E-E),etc.).This article examines the network performance in terms of quality matrices(bandwidth,throughput,data transfer,etc.),by establishing a large-scale SDN-based virtual network in the Mininet environment.The SDN network is simulated in three stages:(1)An SDN network with unitary controller-POX to manage the data traffic flow of the network without the server load management algorithm.(2)An SDN network with only one controller to manage the data traffic flow of the network with a server load management algorithm.(3)Deployment of SDN in proposed control arrangement(logically distributed controlled framework)with multiple controllers managing data traffic flow under the proposed Intelligent Sensing Server Load Management(ISSLM)algorithm.As a result of this approach,the network quality parameters in large-scale networks are enhanced.

Networking Observation and Applications of Chinese Ocean Satellites

This paper presents the networking observation capabilities of Chinese ocean satellites and their diverse applications in ocean disaster prevention,ecological monitoring,and resource development.Since the inaugural launch in 2002,China has achieved substantial advancements in ocean satellite technology,forming an observation system composed of the HY-1,HY-2,and HY-3 series satellites.These satellites are integral to global ocean environmental monitoring due to their high resolution,extensive coverage,and frequent observations.Looking forward,China aims to further enhance and expand its ocean satellite capabilities through ongoing projects to support global environmental protection and sustainable development.

2023年第2版《NCCN胰腺癌临床实践指南》更新解读

胰腺癌是预后极差的消化系统恶性肿瘤。美国国立综合癌症网络(National Comprehensive Cancer Network,NCCN)结合最新高质量循证医学证据不断更新推出胰腺癌的临床实践指南以指导胰腺癌的规范化诊疗。2023年5月4日与6月19日《NCCN胰腺癌临床实践指南》分别进行了两次更新。相较于2022年第2版,这两次更新主要集中于最新的免疫/靶向治疗进展、NALIRIFOX方案的引入以及体能状态中等病人治疗方案的补充。本文结合相关循证医学证据对最新《NCCN胰腺癌临床实践指南》的更新进行解读。

淫羊藿基于CCNB1诱导免疫细胞浸润在膀胱癌中的作用及机制研究

目的:探究淫羊藿治疗膀胱癌的关键活性成分及其作用机制。方法:利用中药系统药理学数据库与分析平台筛选淫羊藿的药物活性成分及靶点,使用R语言筛选GSE13507和GSE37815的差异基因,将药物与差异基因取交集后,运用TCGA和GEO数据库中的临床信息分析和验证药物疾病靶点与膀胱癌预后的关系。运用UALCAN数据库分析CCNB1的表达与膀胱癌临床及病理资料的相关性。最后,运用TIMER分析膀胱癌中CCNB1的表达与免疫细胞浸润及患者预后的关系。结果:共筛选出17个淫羊藿的有效成分和11个药物疾病靶点。靶点最多点的活性成分为槲皮素、木犀草素和山柰酚,活性成分作用最多的靶点为GSK3B和CCNB1。GSK3B与膀胱癌患者总生存期无关。CCNB1高表达于膀胱癌组织中,且与膀胱癌患者预后呈负相关。CCNB1表达与CD8+T细胞浸润呈正相关,CD8+T细胞浸润水平越高患者预后越差。结论:CCNB1是淫羊藿的主要作用靶点,淫羊藿可通过靶向CCNB1调节CD8+T细胞浸润,从而影响膀胱癌患者预后。

2023年第2版NCCN肝细胞癌临床实践指南解读

美国国家综合癌症网络(NCCN)作为肿瘤领域世界权威性非盈利联盟组织,每年持续更新多种恶性肿瘤的临床实践指南,已成为全球肿瘤学临床实践指南的基准。目前NCCN肝细胞癌(HCC)临床实践指南已更新至2023年V2版,与2023年V1版相比,主要是讨论部分内容的更新。从2023.V1版开始,NCCN将HCC与胆管癌的临床实践指南拆分,更新主要集中于肿瘤筛查、诊断、手术、辅助治疗、局部治疗、系统治疗等方面,并首次新增分子检测。故在2023.V2版中将2023.V1版的更新再次着重列出。本文就最新指南和这两版的更新内容进行重点解读。

血清VNN1及CCN2检测对2~4期慢性肾脏病并发急性肾损伤的预测价值

目的分析2~4期慢性肾脏病(CKD)患者血清血管非炎性因子(VNN1)、细胞交流网络因子2(CCN2)水平及对并发急性肾损伤(AKI)的预测价值。方法选取2020年3月—2022年3月重庆医科大学附属第一医院梁平医院肾内科诊治2~4期CKD患者102例为CKD组,根据是否并发AKI,分为AKI亚组28例和非AKI亚组74例,以同期体检的健康者60例为健康对照组。Pearson相关分析血清VNN1、CCN2与肾疾病指标的相关性;多因素Logistic回归分析影响2~4期CKD患者并发AKI的因素;受试者工作特征曲线分析血清VNN1、CCN2及二者联合对2~4期CKD患者并发AKI的预测价值。结果CKD组患者血清VNN1、CCN2水平高于健康对照组(t=34.043,16.383,P均<0.001)。AKI亚组血肌酐、血尿酸、血尿素氮、24 h尿蛋白定量及血清VNN1、CCN2水平均高于非AKI亚组(t/P=4.842/<0.001,3.578/0.001,5.268/<0.001,3.876/<0.001,20.046/<0.001,10.791/<0.001)。2~4期CKD患者血清VNN1、CCN2与血肌酐、血尿酸、血尿素氮、24 h尿蛋白定量呈显著正相关(VNN1:r/P=0.627/<0.001,0.624/<0.001,0.521/<0.001,0.705/<0.001;CCN2:r/P=0.646/<0.001,0.610/<0.001,0.536/<0.001,0.689/<0.001)。血肌酐、血尿素氮、血尿酸、24h尿蛋白定量、血清VNN1、CCN2升高是影响2~4期CKD患者并发AKI的独立危险因素[OR(95%CI)=1.602(1.268~2.022),1.652(1.263~2.161),1.594(1.252~2.028),1.579(1.196~2.086),1.568(1.131~2.176),1.673(1.124~2.385)]。血清VNN1、CCN2及二者联合预测2~4期CKD患者并发AKI的AUC为0.814、0.822、0.890,二者联合的AUC大于单一指标检测(Z=4.675、4.513,P均<0.001)。结论2~4期CKD患者血清VNN1、CCN2升高,两者是影响2~4期CKD患者并发AKI的独立危险因素,且二者联合对2~4期CKD并发AKI具有较高的预测价值。

CCN5基因敲降对MCF-7乳腺癌细胞增殖的影响及其作用机制

目的探讨CCN5基因敲降对人乳腺癌细胞增殖的影响;探索CCN5在人乳腺癌细胞增殖中的作用机制;探寻CCN5与乳腺癌发生、发展中的相关性。方法设置CCN5siRNA转染组,慢病毒空载体转染组,空白对照组,分别采用不同处理方法。CCN5siRNA转染组(以下简称“转染组”):慢病毒载体介导的CCN5siRNA转染人乳腺癌细胞MCF-7;慢病毒空载体转染组(以下简称“空载组”):慢病毒空载体转染人乳腺癌细胞MCF-7;空白对照组不进行任何转染操作。采用MTT法检测各组细胞的增殖能力变化,采用RT-PCR、Western blot检测各组细胞CCN5、Skp2和P27Kip1mRNA及蛋白表达。结果MTT实验表明:转染组细胞增殖力高于空载组和空白对照组;RT-PCR和Western blot结果表明:转染组CCN5mRNA和蛋白水平低于空载组和空白对照组,差异有统计学意义(P<0.05);转染组Skp2、P27Kip1mRNA和蛋白水平高于空载组和空白对照组,差异有统计学意义(P<0.05)。结论CCN5siRNA抑制CCN5mRNA和蛋白表达,促进乳腺癌细胞增殖,并且通过上调Skp2、下调P27Kip1诱导乳腺癌细胞增殖。

成冰剂和吸湿性催化剂机载催化的气溶胶和CCN飞机观测试验分析

为研究目前人工影响天气广泛使用的两类催化剂(成冰剂和吸湿性催化剂)在自然大气中燃烧后对气溶胶的影响,及其初生粒子的核化特性,利用搭载气溶胶和云凝结核(CCN)观测设备的增雨飞机设计开展了一次晴空成冰剂、吸湿性催化剂燃烧的尝试性观测试验。结果发现,机载探测设备由于观测尺度范围受限未能检测到成冰剂燃烧前后气溶胶和CCN的微物理变化;吸湿性催化剂燃烧后,观测到气溶胶和CCN(0.3%过饱和度)粒子数浓度明显增加,分别达到1772.4 cm^(-3)和1809.01 cm^(-3),是燃烧前的4倍以上,粒子谱峰值是燃烧前的4.8倍;播撒产生的气溶胶粒子尺度范围在0.5μm以下,峰值直径从播撒前的0.17 m减小到播撒后的0.14 m。文章基于观测事实对焰条催化燃烧后成核率以及新型催化方式进行了探讨,试验方法可为更深入研究催化剂以及各种复合燃剂燃烧后产生粒子的物理和化学特性提供参考,研究成果可为云催化模式特别是暖云催化模型的建立提供客观的初始场数据支持。

CCN蛋白在非酒精性脂肪性肝病中的研究进展

非酒精性脂肪性肝病是世界范围内最常见的肝病之一,其发病常与代谢综合征相关。CCN蛋白家族在其发病过程中发挥重要作用。本文结合国内外最新研究,对CCN蛋白家族在非酒精性脂肪性肝病的发病及进展中的作用作一概述。重点关注CCN蛋白家族参与调控碳水化合物,特别是脂质代谢相关生物过程中的关键途径,以求为非酒精性脂肪性肝病的预防和治疗提供新的思路。