Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS

ObjectiveThrough metabolomics method, the objective of the paper is to differentially screen serum metabolites of GDM patients and healthy pregnant women, to explore potential biomarkers of GDM and analyze related pathways, and to explain the potential mechanism and biological significance of GDM.MethodsThe serum samples from 30 GDM patients and 30 healthy pregnant women were selected to conduct non-targeted metabolomics study by liquid chromatography-mass spectrometry. The differential metabolites between the two groups were searched and the metabolic pathway was analyzed by KEGG database.ResultsMultivariate statistical analysis found that serum metabolism in GDM patients was different significantly from healthy pregnant women, 36 differential metabolites and corresponding metabolic pathways were identified in serum, which involved several metabolic ways like, fatty acid metabolism, butyric acid metabolism, bile secretion, and amino acid metabolism.ConclusionThe discovery of these biomarkers provided a new theoretical basis and experimental basis for further study of the early diagnosis and pathogenesis of GDM. At the same time, LC-MS-based serum metabolomics methods also showed great application values in disease diagnosis and mechanism research.     

Exploring the protective effects of Danqi Tongmai tablet on acute myocardial ischemia rats by comprehensive metabolomics profiling

BackgroundDanqi Tongmai tablet (DQTM), a combination of salvianolic acids (SA) and panax notoginsenosides (PNS), is now in phase II clinical trial developed for the treatment of cardiovascular diseases. However, the mechanisms of its protective effects through regulating endogenous metabolites remain unclear.PurposeThe purpose of this study was to explore the protective effects of DQTM on acute myocardial ischemia rats by comprehensive metabolomics profiling.Study designThe rats were divided into three groups: sham-operating, acute myocardial ischemia (AMI) and DQTM groups. The plasma and heart were collected and profiled by LC-MS based metabolomics and lipidomics. Based on the identified differential metabolites, the pathway analysis results were obtained and further validated using the network pharmacology approach.MethodsThe AMI model was induced by ligating the left anterior descending coronary artery. The metabolomics and lipidomics profiling were based on two established LC–QTOF/MS analysis methods. The raw data were processed using XCMS Online, then the differential metabolites with nonparametric t-test p value less than 0.05 were selected and identified using HMDB and METLIN. The pathway analysis was conducted using MetaboAnalyst and validated with the predicted network results obtained by BATMAN-TCM.ResultsThe metabolomics and lipidomics profiles of plasma and heart in response to AMI and DQTM were significantly different. The AMI operation had a serious influence on metabolites in heart ischemia region, while DQTM had a greater impact on lipids in heart non-ischemia region. A total of 151 differential metabolites were identified, including mainly amino acids and fatty acids. Multiple metabolic pathways were disturbed after AMI and could be restored by DQTM, of which arachidonic acid metabolism was further validated with the predicted results of network pharmacology.ConclusionThe protective effects of DQTM on acute myocardial ischemia rats could be achieved through the regulation of multiple metabolic pathways.     

钩藤散改善APP/PS1双转基因小鼠学习记忆功能的代谢组学研究

目的:采用非靶向的高通量尿液代谢组学技术对钩藤散改善淀粉样前体蛋白/早老素蛋白1基因,即APP/PS1双转基因小鼠的作用机制进行研究。方法:5月龄APP/PSI小鼠采用Morris水迷宫实验检测双转基因小鼠的空间学习能力,在确定出现空间记忆能力功能损伤地条件下采用基于非靶向的尿液代谢组学技术研究APP/PSI小鼠的代谢网络,聚焦关键通路,同时观察钩藤散在水迷宫和代谢水平上的治疗作用。结果:Morris水迷宫对比发现APP/PSI小鼠的空间记忆能力明显长于同窝野生小鼠,给予钩藤散后呈现一定程度的回调趋势,经非靶向的代谢轮廓分析和核心代谢通路聚焦后,成功发现正常小鼠(同窝野生小鼠)和APP/PSI双转基因小鼠代谢轮廓间差异最大的信号,经质谱解析和权威数据库检索后鉴定6个与学习记忆相关的潜在生物标记物,分别是牛磺酸(taurine)、叶酸(pteroylglutamic acid)、新蝶呤(neopterin)、磺乙谷酰胺(glutaurine)、戊邻酮二酸盐(2-oxoglutarate)、二氢新蝶呤(dihydroneopterin),他们主要涉及牛磺酸代谢及叶酸代谢等,经钩藤散治疗后能有效回调。结论:钩藤散对APP/PSI双转基因小鼠的学习记忆能力具有一定治疗作用,本次发现的6个生物标记物可能是APP/PSI双转基因小鼠发病的潜在靶点,为钩藤散的相关药效学研究提供实验依据。     

Network pharmacology and pharmacokinetics integrated strategy to investigate the pharmacological mechanism of Xianglian pill on ulcerative colitis

BackgroundUlcerative colitis (UC) is a chronic inflammatory bowel disease with high morbidity, which leads to poor quality of life. The Xianglian pill (XLP) is a classical Chinese patent medicine and has been clinically proven to be an effective treatment for UC.PurposeThe pharmacological mechanism of the key bioactive ingredients of XLP for the treatment of UC was investigated by a network pharmacology and pharmacokinetics integrated strategy.Study design and methodsNetwork pharmacology was used to analyze the treatment effect of nine quantified XLP ingredients on UC. Key pathways were enriched and analyzed by protein-protein interaction and Kyoto Encyclopedia of Genes and Genomes analyses. The effect of XLP on Th17 cell differentiation was validated using a mouse model of UC. The binding of nine compounds with JAk2, STAT3, HIF-1α, and HSP90AB1 was assessed using molecular docking. A simple and reliable ultra-high-performance liquid chromatography-tandem mass spectrometry method was developed for the simultaneous quantification of nine ingredients from XLP in plasma and applied to a pharmacokinetic study following oral administration.ResultsNine compounds of XLP, including coptisine, berberine, magnoflorine,berberrubine, jatrorrhizine, palmatine, evodiamine, rutaecarpine, and dehydrocostus lactone, were detected. Network pharmacology revealed 50 crossover genes between the nine compoundsand UC. XLP treats UC mainly by regulating key pathways of the immune system, including Th17 cell differentiation, Jak-Stat, and PI3K-Akt signaling pathways. An in vivo validation in mice found that XLP inhibits Th17 cell differentiation by suppressing the Jak2-Stat3 pathway, which alleviates mucosal inflammation in UC. Molecular docking confirmed that eight compounds are capable of binding with JAk2, HIF-1α, and HSP90AB1, further confirming the inhibitory effect of XLP on the Jak2-Stat3 pathway. Moreover, apharmacokinetic study revealed that the nine ingredients of XLP are exposed in the plasma and colon tissue, which demonstrates its pharmacological effect on UC.ConclusionThis study evaluates the clinical treatment efficacy of XLP for UC. The network pharmacology and pharmacokinetics integrated strategy evaluation paradigm is efficient in discovering the key pharmacological mechanism of herbal formulae.     

Characterization of the cold and hot natures of raw and processed Rehmanniae Radix by integrated metabolomics and network pharmacology

BackgroundThe processing of Chinese materia medica (CMM) is one of the characteristics and advantages of traditional Chinese medicine (TCM). Occasionally, the processing of CMM might reverse the cold/hot nature of CMM. For example, the nature of raw Rehmanniae Radix (RR) is cool, while the processed Rehmanniae Radix (PR) by steaming is hot. Because the cold/hot nature of CMM is defined by the body's response to CMMs, a metabolomics approach, allowing the monitoring of the fluctuation of endogenous metabolites related to an exogenous stimulus, might be an ideal tool to uncover the cold/hot nature of different forms of Rehmanniae Radix.PurposeAn integrated strategy combining metabolomics and network pharmacology was applied to illuminate the different natures of raw and processed Rehmanniae Radix.Study designMice were orally administered RR and PR once daily for ten days. The entire metabolic changes in the plasma of mice were profiled by ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF MS). Furthermore, network pharmacology analysis was performed to identify the underlying targets related to iridoids that significantly changed during the processing.ResultsThe metabolomics analysis results demonstrated a clear separation of the metabolic phenotypes among the control, RR and two PR groups in both the positive and negative modes. Nine lysophosphatidylcholines (LysoPCs), LysoPC (16:0), LysoPC (18:2), LysoPC (18:1), LysoPC (22:6), LysoPC (20:2), LysoPC (18:0), LysoPC (16:1), LysoPC (20:4) and LysoPC (20:5), that decreased in the RR-treated group, but increased in the PR-treated group, were identified to be potential biomarkers related to the natures of RR and PR. The network pharmacology results indicated that four iridoids in Rehmanniae Radix, 8-epiloganic acid, 6-O-p-coumaroyl ajugol, 6-O-p-hydroxybenzoyl ajugol and ajugol, might play important roles in the different natures of raw and processed Rehmanniae Radix.ConclusionsThere might be a strong connection between the cold/hot nature of different forms of Rehmanniae Radix and LysoPC metabolism. This study offers new insight into the cold/hot nature of Rehmanniae Radix.     

Metabolomics study on the toxicity of aconite root and its processed products using ultraperformance liquid-chromatography/electrospray-ionization synapt high-definition mass spectrometry coupled with pattern recognition approach and ingenuity pathways analysis

The mother and lateral root of Aconitum carmichaelii Debx, named "Chuanwu" (CW) and "Fuzi", respectively, has been used to relieve joint pain and treat rheumatic diseases for over 2000 years. However, it has a very narrow therapeutic range, and the toxicological risk of its usage remains very high. The traditional Chinese processing approach, Paozhi (detoxifying measure),can decompose poisonous Aconitum alkaloids into less or nontoxic derivatives and plays an important role in detoxification. The difference in metabolomic characters among the crude and processed preparations is still unclear, limited by the lack of sensitive and reliable biomarkers. Therefore, this paper was designed to investigate comprehensive metabolomic characters of the crude and its processed products by UPLC-Q-TOF-HDMS combined with pattern recognition methods and ingenuity pathway analysis (IPA). The significant difference in metabolic profiles and changes of metabolite biomarkers of interest between the crude and processed preparations were well observed. The underlying regulations of Paozhi-perturbed metabolic pathways are discussed according to the identified metabolites, and four metabolic pathways are identified using IPA. The present study demonstrates that metabolomic analysis could greatly facilitate and provide useful information to further comprehensively understand the pharmacological activity and potential toxicity of processed Aconite roots in the clinic.     

Ingenuity pathways analysis of urine metabolomics phenotypes toxicity of Chuanwu in Wistar rats by UPLC-Q-TOF-HDMS coupled with pattern recognition methods

Chuanwu (CW), a valuable traditional Chinese medicine (TCM), is the mother root of Aconitum carmichaelii Debx. The cause of CW-induced toxicity is still under ongoing research, although this is limited by the lack of sensitive and reliable biomarkers. Ingenuity pathway analysis (IPA) was performed to analyzing global metabolomics in order to characterize the phenotypically biochemical perturbations and potential mechanisms of the CW-induced toxicity. CW was administered to Wistar rats (0.027 g/200 g and 0.108 g/200 g bw, oral) for 6 months and urine samples were collected. The urinary metabolomics was performed by UPLC-Q-TOF-HDMS, and the mass spectra signals of the detected metabolites were systematically deconvoluted and analyzed by pattern recognition methods (PCA, PLS-DA, and OPLS-DA), revealing a time- and dose-dependency of the biochemical perturbations induced by CW toxicity. As a result, several metabolites responsible for pentose and glucuronate interconversions, alanine, aspartate and glutamate metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, purine metabolism, tryptophan metabolism, taurine and hypotaurine metabolism, fructose and mannose metabolism, fatty acid metabolism were characterized, and it was confirmed that biochemical perturbations can be foreseen from these biomarkers. The urinary metabolomics based IPA with pattern recognition methods also revealed that CW produced serious heart and liver toxicity, consistent with clinical biochemistry and histopathology. Significant changes of 17 metabolites were identified and validated as phenotypic biomarkers of CW toxicity. Overall, our work demonstrated the metabolomics has brought enormous opportunities for improved detection of toxicity and biomarker discovery, highlighting the powerful predictive potential of the IPA to study of drug toxicity.     

Untargeted metabolomics: an overview of its usefulness and future potential in prenatal diagnosis

ABSTRACT

Introduction: Metabolomics opens up new avenues for biomarker discovery in different branches of medicine, including perinatology. Chromosomal aberration, preterm delivery (PTD), congenital heart defects, spina bifida, chorioamnionitis, and low birth weight are the main perinatal pathologies. Investigations using untargeted metabolomics have found the candidate metabolites for diagnostic biomarkers.

Areas covered: This review describes areas of prenatal diagnosis in which untargeted metabolomics has been used. Data on the disease, type of sample, techniques used, number of samples used in the study, and metabolites obtained including the sign of their regulation are summarized.

Expert commentary: Untargeted metabolomics is a powerful tool which can shed a new light on prenatal diagnostics. It helps to discover affected metabolic pathways what may help to reveal disease pathogenesis and propose potential biomarkers. Among others, glycerol and 2- and 3-hydroxybutyrate were proposed as markers of chromosomal aberration. Serum metabolic signature of PTD was characterized by increased lipids and decreased levels of hypoxanthine, tryptophane, and pyroglutamic acid. Lower level lipids and vitamin D3 metabolites together with increased bilirubin level in maternal serum were associated with macrosomia. However, to give a real value to those assays and allow their clinical application multicenter, large cohort validation studies are necessary.     

Effects of the Suxiao Jiuxin pill on acute myocardial infarction assessed by comprehensive metabolomics

BackgroundSJP is the commercial Chinese medicine included in the Chinese Pharmacopoeia, with well-established cardiovascular protective effects in the clinic. However, the mechanisms underlying the protective effects of SJP on cardiovascular disease have not yet been clearly elucidated.AimsTo investigate the underlying protective mechanisms of SJP in an acute myocardial infarction (AMI) rat model using comprehensive metabolomics.Materials and methodsThe rat model of AMI was generated by ligating the left anterior descending coronary artery. After 2 weeks treatment with SJP, the entire metabolic changes in the serum, heart, urine and feces of the rat were profiled by HPLC-QTOF-MS/MS.ResultsThe metabolic profiles in different biological samples (heart, serum, urine and feces) were significantly different among groups, in which a total of 112 metabolites were identified. AMI caused comprehensive metabolic changes in amino acid metabolism, galactose metabolism and fatty acid metabolism, while SJP reversed more than half of the differential metabolic changes, mainly affecting amino acid metabolism and fatty acid metabolism. Correlation analysis found that SJP could significantly alter the metabolic activity of 12 key metabolites, regarded as potential biomarkers of SJP treatment. According to the results of network analysis, 6 biomarkers were considered to be hub metabolites, which means that these metabolites may have a major relationship with the SJP therapeutic effects on AMI.ConclusionThe combined comprehensive metabolomics and network analysis, indicated that the protective effect of SJP on cardiovascular disease was associated with systemic metabolic modulation, in particular regulation of amino acid and fatty acid metabolism.     

Pathway as a Pharmacological Target for Herbal Medicines: An Investigation from Reduning Injection

As a rich natural resource for drug discovery, Traditional Chinese Medicine (TCM) plays an important role in complementary and alternative medical systems. TCM shows a daunting complexity of compounds featuring multi-components and multi-targets to cure diseases, which thus always makes it extremely difficult to systematically explain the molecular mechanisms adequately using routine methods. In the present work, to reveal the systematic mechanism of herbal formulae, we developed a pathway-based strategy by combining the pathways integrating, target selection, reverse drug targeting and network analysis together, and then exemplified it by Reduning injection (RDN), a clinically widely used herbal medicine injection, in combating inflammation. The anti-inflammatory effects exerted by the major ingredients of RDN at signaling pathways level were systematically investigated. More importantly, our predicted results were also experimentally validated. Our strategy provides a deep understanding of the pharmacological functions of herbal formulae from molecular to systematic level, which may lead to more successful applications of systems pharmacology for drug discovery and development.     

5-Hydroxy-4-methoxycanthin-6-one alleviates dextran sodium sulfate-induced colitis in rats via regulation of metabolic profiling and suppression of NF-κB/p65 signaling pathway

Background5-Hydroxy-4-methoxycanthin-6-one (PQ-A) is the main active compound in Ramulus et Folium Picrasmae, a Chinese herbal medicine commonly used in colitis treatment.PurposeTo clarify PQ-A's role and mechanism in colitis treatment based on a non-targeted metabolomics study.MethodsRats with ulcerative colitis (UC) established with 4% dextran sulfate sodium (DSS) were orally treated with PQ-A. Body weight, disease activity index (DAI), colon length, biochemical parameters (MDA and SOD), and histopathological score in colon tissue were measured. A UPLC-Q-TOF-MS/MS approach-based metabolomics analysis was conducted to explore the underlying mechanisms of PQ-A in colitis treatment. Inflammatory cytokines (TNF-α, IL-1β, IL-6, and IL-10) concentrations in serum and their protein levels in the colon were determined. CD3 and NF-κB/p65 immunohistochemistry in the colon was semi-quantified. The related protein or mRNA in IKK-NF-κB/p65 signaling pathway was measured by Western blotting or RT-PCR, respectively. Potential molecular interactions between PQ-A and NF-κB/p65 was predicted using DS 2.5 software.ResultsPQ-A significantly prevented body weight loss and colonic shortening in colitic rats, and reduced the DAI and histopathologic score as well. PQ-A decreased MDA levels in the UC rat serum and increased those of SOD. Metabolomics results revealed forty-nine differential metabolites as biomarkers of DSS-induced colitis, demonstrating that the path-mechanism of colitis involved the perturbation of eight metabolic pathways, including alpha-linolenic acid and linoleic acid metabolism, sphingolipid metabolism, retinol metabolism, bile acid metabolism, et al. Thirty-six biomarkers were especially reversed to normal-like levels by PQ-A via regulation of alpha-linolenic acid and linoleic acid metabolism, sphingolipid metabolism, and retinol metabolism, which effectively hinted the potential pharmacological mechanism of PQ-A related to NF-κB/p65 inflammatory signaling. Molecular docking results predicted high affinity interaction between PQ-A and NF-κB/p65, involving hydrogen-bond interactions at five amino acid residues, suggesting NF-κB/p65 as a target. PQ-A decreased TNF-α, IL-1β, and IL-6 concentrations in serum and their protein levels in colon tissue in colitic rats. CD3, MYD88, p-IκBα, NF-κB/p65, and p-NF-κB/p65 expression levels decreased, whereas those of IKKβ and IκBα increased in colitic tissue following PQ-A treatment. PQ-A strongly inhibited nuclear translocation of NF-κB/p65.ConclusionsWe provide an overview of PQ-A's possible mechanism of action in colitis treatment based on serum non-targeted metabolomics. PQ-A treatment can protect rats against DSS-induced colitis by suppressing the NF-κB/p65 signaling pathway.     

Mogroside V reduce OVA-induced pulmonary inflammation based on lung and serum metabolomics

BackgroundMogroside V, the main ingredient of Siraitia grosvenorii, has been proved to have therapeutic effects on pulmonary diseases. The specific mechanism still remains to be clarified, which hinders the potence of its medicinal value.PurposeSerum and lung metabolomics based on LC-MS analysis were applied to explore the mechanism of mogroside V against lung inflammation.MethodIn this study, balb/c mice were divided into control, model, mogeoside V and SH groups. We evaluated the protective effects of mogroside V on lung inflammation in asthmatic mice. Suhuang Zhike Jiaonang was used as positive drug. Metabolic profiles of serum and lung samples of mice in control, model and mogroside V groups were analyzed by LC-MS.ResultsAdministration of mogroside V effectively relieved the expression of biochemical cytokines and lung inflammatory infiltration of asthmatic mice caused by ovalbumin (OVA). And visceral index of mice treated with mogroside V was close to control group. These results indicated that mogroside V ameliorated OVA-induced lung inflammation. LC-MS based metabolomics analysis demonstrated 6 main pathways in asthmatic mice including Vitamin B6 metabolism, Taurine and hypotaurine metabolism, Ascorbate and aldarate metabolism, Histidine metabolism, Pentose and glucuronate interconversions, Citrate cycle (TCA cycle) were regulated after using mogroside V.ConclusionThe study firstly elucidates the metabolic pathways regulated by mogroside V on lung inflammation through metabolomics, providing a theoretical basis for more sufficient utilization and compatibility of mogroside V.     

The metabolomics of airway diseases,including COPD,asthma and cystic fibrosis

Abstract

Chronic obstructive pulmonary disease (COPD), asthma and cystic fibrosis (CF) are characterized by airway obstruction and an inflammatory process. Reaching early diagnosis and discrimination of subtypes of these respiratory diseases are quite a challenging task than other chronic illnesses. Metabolomics is the study of metabolic pathways and the measurement of unique biochemical molecules generated in a living system. In the last decade, metabolomics has already proved to be useful for the characterization of several pathological conditions and offers promises as a clinical tool. In this article, we review the current state of the metabolomics of COPD, asthma and CF with a focus on the different methods and instrumentation being used for the discovery of biomarkers in research and translation into clinic as diagnostic aids for the choice of patient-specific therapies.     

基于UPLC-QTOFMS正、负离子模式对无偿献血者乙型肝炎表面抗原阳性血清代谢组学的研究

目的:基于超高效液相色谱-单四极杆飞行时间质谱(UPLC-QTOFMS)正、负离子模式探讨无偿献血者中乙型肝炎表面抗原阳性和乙型肝炎表面抗原阴性的血清代谢组学的差异,为乙型肝炎的诊断寻找潜在的血清生物标志物。方法:选取2017年10月~2018年1月在青海省血液中心检测的乙型肝炎表面抗原阳性57例(研究组)与同期无偿献血者乙型肝炎表面抗原阴性63例(对照组),利用UPLC-QTOFMS技术建立两组血清代谢指纹图谱,采用主成分分析(PCA)和偏最小二乘法-判别分析(PLS-DA)分析两组间有差异的小分子物质,确定与乙型肝炎相关的生物标志物,并分析相关代谢机制。结果:通过变量重要性投影、质谱鉴定和数据库检索筛选出8个潜在的生物标志物,分别为缬氨酸、胆碱、甘氨鹅去氧胆酸、肉毒碱、高丝氨酸、溶血磷脂酰胆碱、血清溶菌酶和花生四烯酸,涉及胆汁酸代谢、氨基酸代谢、磷脂代谢等。结论:无偿献血者中乙型肝炎表面抗原阳性和乙型肝炎表面抗原阴性的血清代谢物存在显著差异,差异代谢物的发现有助于寻找乙型肝炎的潜在生物标志物,为血液安全提供依据。     

A UPLC-Q-TOF/MS-based plasma metabolomics approach reveals the mechanism of Compound Kushen Injection-based intervention against non-small cell lung cancer in Lewis tumor-bearing mice

BackgroundCompound Kushen Injection (CKI), a well-known Chinese Medicine preparation, has been used to treat non-small cell lung cancer (NSCLC) for more than 15 years, and its clinical curative effect is considered to be beneficial.Hypothesis/PurposeThis study was designed to evaluate the effects and underlying mechanisms of CKI against NSCLC using an ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)-based plasma metabolomics approach.Methods4′,6-diamidino-2-phenylindole (DAPI) staining and 3-(4,5-dimethyl-thiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) dye reduction assay were employed to assess apoptosis and the viability of A549 cells with and without CKI treatment. The weight/volume of Lewis lung carcinoma (LLC) sarcomas and histopathological examinations were used to evaluate the anti-tumor effects of CKI against NSCLC. A UPLC-Q-TOF/MS method combined with multivariate data analysis was developed to characterize metabolomic fingerprinting and to screen functional biomarkers that are linked to the CKI treatment of LLC mice, and then metabolic pathway analysis was used to investigate the therapeutic mechanism of CKI.ResultsDAPI staining and MTT dye reduction assays indicated that CKI-induced apoptosis and inhibited the proliferation of A549 cells, respectively, in a concentration-dependent manner. The sarcoma volumes and weights in LLC tumor-bearing mice in CKI-dosed groups were significantly lower than those in a model group, which was treated with physiological saline. Histopathological analysis of sections of sarcomas and left pulmonary lobes indicated that CKI exerts an ameliorative effect against LLC. Fourteen functional biomarkers that are related to the therapeutic effects of CKI on LLC were screened and identified using a metabolomics study. Analysis of metabolic pathways revealed that the therapeutic effects of CKI on LLC mainly involved glycerophospholipid metabolism, amino acid metabolism and sphingolipid metabolism. As glycerophospholipid metabolism is a crucial feature of cancer-specific metabolism, the enzymes that are involved in 1-acyl-sn-glycero-3-phosphoinositol biosynthesis were further evaluated. Western blotting results indicated that CKI modulated the abnormal biosynthesis pathway of 1-acyl-sn-glycero-3-phosphoinositol by activation of cytidine diphosphate-diacylglycerol-inositol 3-phosphatidyltransferase (CDIPT) and cytosolic phospholipase A2 (cPLA2), and by inhibition of lysophosphatidic acid acyltransferase gamma (AGPAT3).ConclusionThis study demonstrated that CKI has a favorable anti-tumor effect and that a UPLC-Q-TOF/MS-based metabolomics method in conjunction with further verifications at the biochemical level is a promising approach for investigating its underlying mechanisms.