荷瘤抑郁样模型小鼠的血清代谢组学研究

目的：从代谢组学角度开展肿瘤共病抑郁的研究,将在复杂疾病发生发展机制以及药物治疗新靶点方面做出有益探索。本实验采用代谢组学方法检测荷瘤抑郁样模型小鼠血清小分子代谢物的变化及抗抑郁药氟西汀的影响,探讨代谢组学在肿瘤共病抑郁研究中的应用。方法：制备移植性荷瘤小鼠模型,氟西汀处理组对荷瘤小鼠连续28d灌胃给药,观察各组行为学反应。采用液相色谱串联四级杆飞行时间质谱（LC—QToF／MS）获取荷瘤小鼠与正常小鼠的血清代谢轮廓,并用正交信号校正的偏最小二乘法（OPLS）进行多元统计分析,结合单维水平筛选结果,得到荷瘤小鼠区别于正常对照小鼠的特征性差异代谢物,并观察氟西汀对上述代谢物的影响。结果：行为学反应结果显示,与正常小鼠相比,荷瘤小鼠表现抑郁相关性行为改变,氟西汀对荷瘤引起的行为学变化有显著改善作用。代谢组学分析结果显示,荷瘤小鼠血清中乙酰肉碱和油酰胺的含量较正常小鼠显著降低,氟西汀处理后可增加荷瘤小鼠血清中的乙酰肉碱和油酰胺的含量。结论：基于代谢组学分析得到的特征性代谢产物的下调可能与荷瘤小鼠的抑郁样状态有关,氟西汀对这两种潜在生物标志物有明显的调节作用。代谢组学研究为疾病特异性生物标志物的筛选及药物药效的评价提供了新的思路与方法。     

靶向小分子创新药物

寻找药物新靶点是全球创新药物研究激烈竞争的焦点."组学"、生物信息学、系统生物学、药物筛选现代检测技术等新理论、新技术的发展使新的筛选模型和评价技术不断取得突破.靶向抗肿瘤药物的开发是靶向小分子创新药物的重点任务,多靶点的抗肿瘤药物开发及新靶点的发现是抗肿瘤药物研发的新趋势.     

代谢组学技术在食管癌标志物研究中的应用

作为一门广泛应用于疾病、肿瘤、营养、药物及微生物等领域的组学技术,代谢组学已成为近年来组学技术的研究热点之一。食管癌是严重危害我国居民健康的恶性肿瘤,运用代谢组学技术在早期肿瘤标志物的筛选中取得了重要进展。该文对代谢组学与食管癌研究作一综述,为食管癌防治工作提供参考依据。     

胆固醇代谢重编程在胰腺癌中的作用及靶向胆固醇代谢药物的应用

胰腺癌起病隐匿，缺乏有效的治疗方法，是预后最差的实体肿瘤之一，亟需探索新的治疗方向。代谢重编程是肿瘤的重要标志之一，处于恶劣肿瘤微环境中的胰腺癌细胞为了维持旺盛的代谢需求将胆固醇代谢全面上调，肿瘤相关成纤维细胞为癌细胞提供大量的脂质。胆固醇代谢重编程涉及胆固醇的合成、摄取、酯化、以及胆固醇相关代谢产物的一系列调整，与胰腺癌的增殖、侵袭、转移、耐药、免疫抑制等表型密切相关，抑制胆固醇代谢具有明显的抗肿瘤作用。本文从胰腺癌的高危因素、肿瘤相关成纤维细胞与癌细胞间的能量交互、细胞胆固醇代谢关键靶点的作用机制及其靶向药物，综述了胰腺癌胆固醇代谢的复杂性与重要性。胆固醇代谢具有严格的调控与反馈机制，单一靶点药物在临床应用中的效果并不明确，因此胆固醇代谢的多靶点疗法是胰腺癌治疗的新方向。     

功能代谢组学技术在微生物研究中的应用

功能代谢组学是以代谢组学技术发现关键代谢物为基础,结合体内体外实验和分子生物学等技术手段,研究差异代谢物及相关蛋白、酶和基因的功能,从而揭示生物体内在的分子调控机制。功能代谢组学技术具有精准识别关键调控代谢物及其相关基因或酶的特性,近年来在微生物相关疾病的防控和工业化生产等方面受到了广泛的关注。本文介绍了功能代谢组学技术的分析流程、相关研究方法与平台及其在微生物研究方面的应用,其中重点阐述了真核、原核以及病毒微生物的代谢特性、调控靶点及相关防控策略等。最后,提出功能代谢组学研究在未来面临的问题与挑战,为后续功能代谢组学的研究与发展提供新的思路。     

功能代谢组学技术在微生物研究中的应用

功能代谢组学是以代谢组学技术发现关键代谢物为基础,结合体内体外实验和分子生物学等技术手段,研究差异代谢物及相关蛋白、酶和基因的功能,从而揭示生物体内在的分子调控机制。功能代谢组学技术具有精准识别关键调控代谢物及其相关基因或酶的特性,近年来在微生物相关疾病的防控和工业化生产等方面受到了广泛的关注。本文介绍了功能代谢组学技术的分析流程、相关研究方法与平台及其在微生物研究方面的应用,其中重点阐述了真核、原核以及病毒微生物的代谢特性、调控靶点及相关防控策略等。最后,提出功能代谢组学研究在未来面临的问题与挑战,为后续功能代谢组学的研究与发展提供新的思路。     

代谢组学在临床研究中的应用及进展

代谢组学是"后基因组学"时期新兴的一门学科,也是系统生物学的重要组成部分。代谢组学通过全面、定量检测生物样本中多种类型小分子化合物,来了解在内在和外界因素作用下生物体内源性物质的变化及规律,特别适合于临床上研究机体因受到遗传、生长、生理、环境因素和异物、病源等刺激的影响而产生的变化。借助于代谢组学技术不仅能够描述疾病发生、发展以及治疗过程中机体代谢机能的状态和变化,为临床疾病的诊断、病理机制的探索、新治疗靶点的发现等提供新的途径和思路,还可以揭示外界干扰因素(药物/毒物、环境、饮食、生活方式等)对机体的影响,为药效评价和疾病病因的筛查提供基础数据。近年来,代谢组学在临床研究方面得到了广泛的应用,取得了巨大的进展并展现了鼓舞人心的应用前景。该文分别就代谢组学在描述疾病发展状态、研究疾病诊断方法、探索疾病发病原因和发病机理、药效学评价等几个方面的应用及进展进行回顾和综述。     

基于代谢组学的抗生素与细菌间作用研究进展

抗生素杀菌是一个复杂的生理过程,杀菌抗生素与靶点作用后的下游代谢变化与抗生素作用效果紧密联系,其通过干扰细菌代谢状态加速死亡进程,而细菌改变代谢状态也能影响抗生素的有效性.代谢组学通过监测细菌在抗生素作用下的变化提供全面代谢信息,我们回顾近年来基于代谢组学对抗生素与细菌间作用的研究进展,以期为开发抗生素佐剂提高抗生素效...     

异源物代谢核受体PXR与肿瘤多药耐药相关性的研究进展

肿瘤的多药耐药性是临床化疗中迫切需要解决的问题.孕烷X受体(pregnane X receptor,PXR)为配体活化的转录因子,其下游靶基因均为主司异源性药物/毒物生物转化功能的I相、II相代谢酶及III相转运蛋白,可对药物代谢动力学过程产生重要的影响,故有可能成为逆转肿瘤多药耐药的新的药物作用靶点.本文总结了PXR在肿瘤多药耐药中的作用及机制、新型PXR配体类药物研发等方面的研究进展.     

正在蓬勃兴起的“代谢组学”研究技术与方法

<正>1"代谢组学"研究的涵义和科学意义"代谢组学"是研究生命体中所有代谢产物(小分子化合物)变化规律的科学,通过比较实验组和对照组中内源性代谢产物的系统性差异来研究生命现象,并揭示其内在规律。这些"代谢组"水平上的差异与生物体在生理、病理、营养、用药等各种生命过程紧密相关,是生物学过程执行后的最终产物的集合,因而也是各种组学研究中最接近生物表型的一种组学。"代谢组学"是一种典型的用化     

Functional metabolomics: from biomarker discovery to metabolome reprogramming

Metabolomics is emerging as a powerful tool for studying metabolic processes, identifying crucial biomarkers responsible for metabolic characteristics and revealing metabolic mechanisms, which construct the content of discovery metabolomics. The crucial biomarkers can be used to reprogram a metabolome, leading to an aimed metabolic strategy to cope with alteration of internal and external environments, naming reprogramming metabolomics here. The striking feature on the similarity of the basic metabolic pathways and components among vastly differentspeciesmakesthe reprogrammingmetabolomics possible when the engineered metabolites play biological roles in cellular activity as a substrate of enzymes and a regulator to other molecules including proteins. The reprogramming metabolomics approach can be used to clarify metabolic mechanisms of responding to changed internal and external environmental factors and to establish a framework to develop targeted tools for dealing with the changes such as controlling and/or preventing infection with pathogens and enhancing host immunity against pathogens. This review introduces the current state and trends of discovery metabolomics and reprogramming metabolomics and highlights the importance of reprogramming metabolomics.     

氨基酸转运体在肿瘤代谢中的研究进展

代谢重编程是肿瘤的重要特征,是指肿瘤细胞为满足其快速增殖的生物合成与能量需求,对其糖代谢、脂代谢以及氨基酸代谢等代谢路径进行的重编程,以维持增长速度以及补偿能量代谢所造成的氧化还原压力。虽然不同的癌症代谢变化不同,但有些特征是所有癌症共有的,氨基酸代谢重编程是其中一个重要的特征。氨基酸进出细胞需要氨基酸转运体的协助,因而在肿瘤细胞中多种特定的氨基酸转运体均过表达。靶向氨基酸转运体通过影响肿瘤细胞的氨基酸代谢从而达到抗肿瘤的目的,是目前抗肿瘤药物的研究热点之一。主要介绍了几种在肿瘤代谢中发挥重要作用的氨基酸转运体以及靶向氨基酸转运体抗肿瘤治疗的研究进展及相关作用机制,旨在了解氨基酸转运体在抗肿瘤研究中的作用,以期促进靶向氨基酸转运体抗肿瘤药物的发展。     

Lipid metabolism reprogramming in colorectal cancer

The hallmark feature of metabolic reprogramming is now considered to be widespread in many malignancies, including colorectal cancer (CRC). Of the gastrointestinal tumors, CRC is one of the most common with a high metastasis rate and long insidious period. The incidence and mortality of CRC has increased in recent years. Metabolic reprogramming also has a significant role in the development and progression of CRC, especially lipid metabolic reprogramming. Many studies have reported that lipid metabolism reprogramming is similar to the Warburg effect with typical features affecting tumor biology including proliferation, migration, local invasion, apoptosis, and other biological behaviors of cancer cells. Therefore, studying the role of lipid metabolism in the occurrence and development of CRC will increase our understanding of its pathogenesis, invasion, metastasis, and other processes and provide new directions for the treatment of CRC. In this paper, we mainly describe the molecular mechanism of lipid metabolism reprogramming and its important role in the occurrence and development of CRC. In addition, to provide reference for subsequent research and clinical diagnosis and treatment we also review the treatments of CRC that target lipid metabolism.     

A Mapping of Drug Space from the Viewpoint of Small Molecule Metabolism

Small molecule drugs target many core metabolic enzymes in humans and pathogens, often mimicking endogenous ligands. The effects may be therapeutic or toxic, but are frequently unexpected. A large-scale mapping of the intersection between drugs and metabolism is needed to better guide drug discovery. To map the intersection between drugs and metabolism, we have grouped drugs and metabolites by their associated targets and enzymes using ligand-based set signatures created to quantify their degree of similarity in chemical space. The results reveal the chemical space that has been explored for metabolic targets, where successful drugs have been found, and what novel territory remains. To aid other researchers in their drug discovery efforts, we have created an online resource of interactive maps linking drugs to metabolism. These maps predict the “effect space” comprising likely target enzymes for each of the 246 MDDR drug classes in humans. The online resource also provides species-specific interactive drug-metabolism maps for each of the 385 model organisms and pathogens in the BioCyc database collection. Chemical similarity links between drugs and metabolites predict potential toxicity, suggest routes of metabolism, and reveal drug polypharmacology. The metabolic maps enable interactive navigation of the vast biological data on potential metabolic drug targets and the drug chemistry currently available to prosecute those targets. Thus, this work provides a large-scale approach to ligand-based prediction of drug action in small molecule metabolism.     

Metabolic tricks of cancer cells

One of the characteristics of cancer cells important for tumorigenesis is their metabolic plasticity. Indeed, in various stress conditions, cancer cells can reshape their metabolic pathways to support the increased energy request due to continuous growth and rapid proliferation. Moreover, selective pressures in the tumor microenvironment, such as hypoxia, acidosis, and competition for resources, force cancer cells to adapt by complete reorganization of their metabolism. In this review, we highlight the characteristics of cancer metabolism and discuss its clinical significance, since overcoming metabolic plasticity of cancer cells is a key objective of modern cancer therapeutics and a better understanding of metabolic reprogramming may lead to the identification of possible targets for cancer therapy.     

Metabolic gradients as key regulators in zonation of tumor energy metabolism: A tissue-scale model-based study

Characteristics of many tumor types are the reprogramming of metabolism and the occurrence of regional hypoxia. In this work, we investigated the hypothesis that metabolic reprogramming in combination with metabolic zonation of cellular energy metabolism are important factors in promotion of the growth capacity of solid tumors. A tissue-scale model of the two main ATP delivering pathways, glycolysis (GLY) and oxidative phosphorylation (OXP), was used to simulate the energy metabolism within solid tumors under various metabolic strategies. Remarkably, despite the high diversity in the usage of glucose, lactate and oxygen in various spatial regions, the tumor as a whole clearly displays the hallmark of the so-called Warburg effect, i.e. a high rate of glucose consumption and lactate production in the presence of sufficiently high levels of oxygen. Our simulations suggest that an increase in GLY capacity and concomitant decrease in OXP capacity from the periphery towards the center of the tumor improves the availability of oxygen to pericentral tumor cells. The found relationship between the regional oxygen level and the relative share of GLY and OXP capacities supports the view that metabolite availability functions as key regulator of tumor energy metabolism.     

Intratumoral lipid metabolic reprogramming as a pro-tumoral regulator in the tumor milieu

Reprogramming of the tumor microenvironment (TME) is a hallmark of cancer. Metabolic reprogramming is a vital approach to sustaining the energy supply in the TME. This alteration exists in both cancer cells and TME cells, collectively establishing an immunotolerant niche to facilitate tumor progression. Limited resources lead to metabolic competition and hinder the biological functions of anti-tumoral immunity. Reprogramming of lipid metabolism and tumor progression is closely related to each other. Due to the complexity of fatty acid (FA) types and the lack of an effective approach for detection, the mechanisms and effects of FA metabolic reprogramming have been unclear. Herein, we review FA metabolism in the tumor milieu, summarize how FA metabolic reprogramming influences antitumor immune response, suggest the mechanisms by which FAs affect immunotherapy against cancer, and discuss the potential of FA metabolism-based drugs in cancer treatment.     

基于生物信息学方法发现潜在药物靶标

药物靶点通常是在代谢或信号通路中与特定疾病或病理状态有关的关键分子.通过绑定到特定活动区域抑制这个关键分子进行药物设计.确定特定疾病有关的靶标分子是现代新药开发的基础.在药物靶标发现的过程中,生物信息学方法发挥了不可替代的重要的作用,尤其适用于大规模多组学数据的分析.目前,已涌现了许多与疾病相关的数据库资源,基于生物网络特征、多基因芯片、蛋白质组、代谢组数据等建立了多种生物信息学方法发现潜在的药物靶标,并预测靶标可药性和药物副作用.     

Effects of celastrol on human cervical cancer cells as revealed by ion-trap gas chromatography–mass spectrometry based metabolic profiling

Background

Celastrol, a quinine methide triterpene extracted from a Chinese medicine (Trypterygium wilfordii Hook F.), has the potential to become an anticancer drug with promising prospects. Cell culture metabolomics has been a powerful method to study metabolic profiles in cell line after drug treatment, which can be used for discovery of drug targets and investigation of drug effects.

Methods

We analyzed the metabolic modifications induced by celastrol treatment in human cervical cancer cells, using an ion-trap gas chromatography–mass spectrometry based metabolomics combined with multivariate statistical analysis, which allows simultaneous screening of multiple characteristic metabolic pathways related to celastrol treatment. Three representative apoptosis-inducing cytotoxic agents, namely cisplatin, doxorubicin hydrochloride and paclitaxel, were selected as positive control drugs to validate reasonableness and accuracy of our metabolomic investigation on celastrol.

Results

Anti-proliferation and apoptotic effects of celastrol were demonstrated by CCK-8 assay, Annexin-V/PI staining method, mitochondrial membrane potential (ΔΨm) assay and caspase-3 assay. Several significant metabolites involved in energy, amino acid and nucleic acid metabolism in HeLa cells induced by celastrol and positive drugs were reported. Our method is proved to be effective and robust to provide new evidence of pharmacological mechanism of celastrol.

Conclusions

The metabolic alterations induced by drug treatment showed the impaired physiological activity of HeLa cells, which also indicated anti-proliferative and apoptotic effects of celastrol and these positive drugs.

General significance

GC/MS-based metabolomic approach applied to cell culture could give valuable information on the systemic effects of celastrol in vitro and help us to further study its anticancer mechanism.