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Lipidomics and cancer

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https://www.readbyqxmd.com/read/28725670/fatty-acid-and-lipidomic-data-in-normal-and-tumor-colon-tissues-of-rats-fed-diets-with-and-without-fish-oil
#1
Zora Djuric, Muhammad Nadeem Aslam, Becky R Simon, Ananda Sen, Yan Jiang, Jianwei Ren, Rena Chan, Tanu Soni, Thekkelnaycke M Rajendiran, William L Smith, Dean E Brenner
Data is provided to show the detailed fatty acid and lipidomic composition of normal and tumor rat colon tissues. Rats were fed either a Western fat diet or a fish oil diet, and half the rats from each diet group were treated with chemical carcinogens that induce colon cancer (azoxymethane and dextran sodium sulfate). The data show total fatty acid profiles of sera and of all the colon tissues, namely normal tissue from control rats and both normal and tumor tissues from carcinogen-treated rats, as obtained by gas chromatography with mass spectral detection...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28717896/optimization-of-lipid-extraction-and-analytical-protocols-for-uhplc-esi-hrms-based-lipidomic-analysis-of-adherent-mammalian-cancer-cells
#2
Huizhen Zhang, Yue Gao, Jiahong Sun, Shicheng Fan, Xinpeng Yao, Xiaorong Ran, Chuanqi Zheng, Min Huang, Huichang Bi
Lipidomics, which reveals comprehensive characterization of molecular lipids, is a rapidly growing technology used in biomedical research. Lipid extraction is a critical step in lipidomic analysis. However, the effectiveness of different lipid extract solvent systems from cellular samples still remains unclear. In the current study, the protocol of reverse-phase liquid chromatography mass spectrometry (LC/MS)-based lipidomics was optimized for extraction and detection of lipids from human pancreatic cancer cell line PANC-1...
July 17, 2017: Analytical and Bioanalytical Chemistry
https://www.readbyqxmd.com/read/28672272/%C3%AF-3-polyunsaturated-fatty-acids-and-their-cytochrome-p450-derived-metabolites-suppress-colorectal-tumor-development-in-mice
#3
Weicang Wang, Jun Yang, Yoshiki Nimiya, Kin Sing Stephen Lee, Katherine Sanidad, Weipeng Qi, Elvira Sukamtoh, Yeonhwa Park, Zhenhua Liu, Guodong Zhang
Many studies have shown that dietary intake of ω-3 polyunsaturated fatty acids (PUFAs) reduces the risks of colorectal cancer; however, the underlying mechanisms are not well understood. Here we used a LC-MS/MS-based lipidomics to explore the role of eicosanoid signaling in the anti-colorectal cancer effects of ω-3 PUFAs. Our results showed that dietary feeding of ω-3 PUFAs-rich diets suppressed growth of MC38 colorectal tumor, and modulated profiles of fatty acids and eicosanoid metabolites in C57BL/6 mice...
June 21, 2017: Journal of Nutritional Biochemistry
https://www.readbyqxmd.com/read/28668521/lipidomics-in-translational-research-and-the-clinical-significance-of-lipid-based-biomarkers
#4
REVIEW
Daniel J Stephenson, L Alexis Hoeferlin, Charles E Chalfant
Lipidomics is a rapidly developing field of study that focuses on the identification and quantitation of various lipid species in the lipidome. Lipidomics has now emerged in the forefront of scientific research due to the importance of lipids in metabolism, cancer, and disease. Using both targeted and untargeted mass spectrometry as a tool for analysis, progress in the field has rapidly progressed in the last decade. Having the ability to assess these small molecules in vivo has led to better understanding of several lipid-driven mechanisms and the identification of lipid-based biomarkers in neurodegenerative disease, cancer, sepsis, wound healing, and pre-eclampsia...
June 15, 2017: Translational Research: the Journal of Laboratory and Clinical Medicine
https://www.readbyqxmd.com/read/28660579/global-monitoring-of-the-mammalian-lipidome-by-quantitative-shotgun-lipidomics
#5
Inger Ødum Nielsen, Kenji Maeda, Mesut Bilgin
The emerging field of lipidomics presents the systems biology approach to identify and quantify the full lipid repertoire of cells, tissues, and organisms. The importance of the lipidome is demonstrated by a number of biological studies on dysregulation of lipid metabolism in human diseases such as cancer, diabetes, and neurodegenerative diseases. Exploring changes and regulations in the huge networks of lipids and their metabolic pathways requires a lipidomics methodology: Advanced mass spectrometry that resolves the complexity of the lipidome...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28496395/a-relative-quantitative-positive-negative-ion-switching-method-for-untargeted-lipidomics-via-high-resolution-lc-ms-ms-from-any-biological-source
#6
Susanne B Breitkopf, Stéphane J H Ricoult, Min Yuan, Ying Xu, David A Peake, Brendan D Manning, John M Asara
INTRODUCTION: Advances in high-resolution mass spectrometry have created renewed interest for studying global lipid biochemistry in disease and biological systems. OBJECTIVES: Here, we present an untargeted 30 min. LC-MS/MS platform that utilizes positive/negative polarity switching to perform unbiased data dependent acquisitions (DDA) via higher energy collisional dissociation (HCD) fragmentation to profile more than 1000-1500 lipid ions mainly from methyl-tert-butyl ether (MTBE) or chloroform:methanol extractions...
March 2017: Metabolomics: Official Journal of the Metabolomic Society
https://www.readbyqxmd.com/read/28442322/in-vitro-and-in-vivo-antitumor-activities-of-t-3764518-a-novel-and-orally-available-small-molecule-stearoyl-coa-desaturase-1-inhibitor
#7
Satoru Nishizawa, Hiroyuki Sumi, Yoshihiko Satoh, Yukiko Yamamoto, Satoshi Kitazawa, Kohei Honda, Hideo Araki, Kazuyo Kakoi, Keisuke Imamura, Masako Sasaki, Ikuo Miyahisa, Yoshinori Satomi, Ryuuichi Nishigaki, Megumi Hirayama, Kazunobu Aoyama, Hironobu Maezaki, Takahito Hara
Most cancer cells are characterized by elevated lipid biosynthesis. The rapid proliferation of cancer cells requires de novo synthesis of fatty acids. Stearoyl-CoA desaturase-1 (SCD1), a key enzyme for lipogenesis, is overexpressed in various types of cancer and plays an important role in cancer cell proliferation. Therefore, it has been studied as a candidate target for cancer therapy. In this study, we demonstrate the pharmacological properties of T-3764518, a novel and orally available small molecule inhibitor of SCD1...
July 15, 2017: European Journal of Pharmacology
https://www.readbyqxmd.com/read/28347999/lipin-1-regulation-of-phospholipid-synthesis-maintains-endoplasmic-reticulum-homeostasis-and-is-critical-for-triple-negative-breast-cancer-cell-survival
#8
Jingquan He, Feng Zhang, Li Wei Rachel Tay, Salome Boroda, Weiqi Nian, Kandice R Levental, Ilya Levental, Thurl E Harris, Jeffrey T Chang, Guangwei Du
Cancer cells reprogram their metabolism to increase the synthesis of macromolecules for rapid proliferation. Compared to fatty acids, much less is known about the synthesis of phospholipids, which is essential for membrane biogenesis in cancer cells. We found that LPIN1, which encodes lipin-1, a phosphatidic acid phosphatase (PAP) controlling the rate-limiting step in the phospholipid synthesis pathway, is highly up-regulated in basal-like triple-negative breast cancer (TNBC). Moreover, high LPIN1 expression correlates with the poor prognosis of these patients...
March 27, 2017: FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology
https://www.readbyqxmd.com/read/28287094/enlightening-discriminative-network-functional-modules-behind-principal-component-analysis-separation-in-differential-omic-science-studies
#9
Sara Ciucci, Yan Ge, Claudio Durán, Alessandra Palladini, Víctor Jiménez-Jiménez, Luisa María Martínez-Sánchez, Yuting Wang, Susanne Sales, Andrej Shevchenko, Steven W Poser, Maik Herbig, Oliver Otto, Andreas Androutsellis-Theotokis, Jochen Guck, Mathias J Gerl, Carlo Vittorio Cannistraci
Omic science is rapidly growing and one of the most employed techniques to explore differential patterns in omic datasets is principal component analysis (PCA). However, a method to enlighten the network of omic features that mostly contribute to the sample separation obtained by PCA is missing. An alternative is to build correlation networks between univariately-selected significant omic features, but this neglects the multivariate unsupervised feature compression responsible for the PCA sample segregation...
March 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28257116/valorization-of-lipids-from-gracilaria-sp-through-lipidomics-and-decoding-of-antiproliferative-and-anti-inflammatory-activity
#10
Elisabete da Costa, Tânia Melo, Ana S P Moreira, Carina Bernardo, Luisa Helguero, Isabel Ferreira, Maria Teresa Cruz, Andreia M Rego, Pedro Domingues, Ricardo Calado, Maria H Abreu, Maria Rosário Domingues
The lipidome of the red seaweed Gracilaria sp., cultivated on land-based integrated multitrophic aquaculture (IMTA) system, was assessed for the first time using hydrophilic interaction liquid chromatography-mass spectrometry and tandem mass spectrometry (HILIC-MS and MS/MS). One hundred and forty-seven molecular species were identified in the lipidome of the Gracilaria genus and distributed between the glycolipids classes monogalactosyl diacylglyceride (MGDG), digalactosyl diacylglyceride (DGDG), sulfoquinovosyl monoacylglyceride (SQMG), sulfoquinovosyl diacylglyceride (SQDG), the phospholipids phosphatidylcholine (PC), lyso-PC, phosphatidylglycerol (PG), lyso-PG, phosphatidylinositol (PI), phosphatidylethanolamine (PE), phosphatic acid (PA), inositolphosphoceramide (IPC), and betaine lipids monoacylglyceryl- and diacylglyceryl-N,N,N-trimethyl homoserine (MGTS and DGTS)...
March 2, 2017: Marine Drugs
https://www.readbyqxmd.com/read/28248089/mapping-novel-metabolic-nodes-targeted-by-anti-cancer-drugs-that-impair-triple-negative-breast-cancer-pathogenicity
#11
Lindsay S Roberts, Peter Yan, Leslie A Bateman, Daniel K Nomura
Triple-negative breast cancers (TNBCs) are estrogen receptor, progesterone receptor, and HER2 receptor-negative subtypes of breast cancers that show the worst prognoses and lack targeted therapies. Here, we have coupled the screening of ∼400 anticancer agents that are under development or in the clinic with chemoproteomic and metabolomic profiling to identify novel metabolic mechanisms for agents that impair TNBC pathogenicity. We identify 20 anticancer compounds that significantly impaired cell survival across multiple types of TNBC cells...
March 8, 2017: ACS Chemical Biology
https://www.readbyqxmd.com/read/28207743/lipidomic-approach-for-stratification-of-acute-myeloid-leukemia-patients
#12
Adam Stefanko, Christian Thiede, Gerhard Ehninger, Kai Simons, Michal Grzybek
The pathogenesis and progression of many tumors, including hematologic malignancies is highly dependent on enhanced lipogenesis. De novo fatty-acid synthesis permits accelerated proliferation of tumor cells by providing membrane components but these may also alter physicochemical properties of lipid bilayers, which can impact signaling or even increase drug resistance in cancer cells. Cancer type-specific lipid profiles would permit us to monitor and interpret actual effects of lipid changes, potential fingerprints of individual tumors to be explored as diagnostic markers...
2017: PloS One
https://www.readbyqxmd.com/read/28192938/size-dependent-lipidomic-analysis-of-urinary-exosomes-from-patients-with-prostate-cancer-by-flow-field-flow-fractionation-and-nanoflow-liquid-chromatography-tandem-mass-spectrometry
#13
Joon Seon Yang, Jong Cheol Lee, Seul Kee Byeon, Koon Ho Rha, Myeong Hee Moon
Exosomes are membrane-bound extracellular vesicles involved in intercellular communication and tumor cell metastasis. In this study, flow field-flow fractionation (FlFFF) was utilized to separate urinary exosomes by size, demonstrating a significant difference in exosome sizes between healthy controls and patients with prostate cancer (PCa). Exosome fractions of different sizes were collected for microscopic analysis during an FlFFF run and evaluated with exosome marker proteins using Western blot analysis...
February 2, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28185575/integration-of-metabolomics-lipidomics-and-clinical-data-using-a-machine-learning-method
#14
Animesh Acharjee, Zsuzsanna Ament, James A West, Elizabeth Stanley, Julian L Griffin
BACKGROUND: The recent pandemic of obesity and the metabolic syndrome (MetS) has led to the realisation that new drug targets are needed to either reduce obesity or the subsequent pathophysiological consequences associated with excess weight gain. Certain nuclear hormone receptors (NRs) play a pivotal role in lipid and carbohydrate metabolism and have been highlighted as potential treatments for obesity. This realisation started a search for NR agonists in order to understand and successfully treat MetS and associated conditions such as insulin resistance, dyslipidaemia, hypertension, hypertriglyceridemia, obesity and cardiovascular disease...
November 22, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28138993/arachidonic-acid-containing-phosphatidylcholine-characterized-by-consolidated-plasma-and-liver-lipidomics-as-an-early-onset-marker-for-tamoxifen-induced-hepatic-phospholipidosis
#15
Kosuke Saito, Keisuke Goda, Akio Kobayashi, Naohito Yamada, Kyoko Maekawa, Yoshiro Saito, Shoichiro Sugai
Lipid profiling has emerged as an effective approach to not only screen disease and drug toxicity biomarkers but also understand their underlying mechanisms of action. Tamoxifen, a widely used antiestrogenic agent for adjuvant therapy against estrogen-positive breast cancer, possesses side effects such as hepatic steatosis and phospholipidosis (PLD). In the present study, we administered tamoxifen to Sprague-Dawley rats and used lipidomics to reveal tamoxifen-induced alteration of the hepatic lipid profile and its association with the plasma lipid profile...
January 31, 2017: Journal of Applied Toxicology: JAT
https://www.readbyqxmd.com/read/28132185/spatial-metabolite-profiling-by-matrix-assisted-laser-desorption-ionization-mass-spectrometry-imaging
#16
Berin A Boughton, Brett Hamilton
Mass spectrometry imaging (MSI) is rapidly maturing as an advanced method for spatial metabolite profiling. Herein, we provide an introduction to MSI including types of instrumentation, detailed sample preparation, data collection, overview of data analysis steps, software, common standards, and new developments. Further, we provide an overview of MSI in the clinical space over the past 3 years where MSI has been deployed in diverse research areas including cancer, neurobiology, lipidomics, and metabolite profiling and mapping to name only a few...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28110652/ambient-mass-spectrometry-in-cancer-research
#17
REVIEW
Z Takats, N Strittmatter, J S McKenzie
Ambient ionization mass spectrometry was developed as a sample preparation-free alternative to traditional MS-based workflows. Desorption electrospray ionization (DESI)-MS methods were demonstrated to allow the direct analysis of a broad range of samples including unaltered biological tissue specimens. In contrast to this advantageous feature, nowadays DESI-MS is almost exclusively used for sample preparation intensive mass spectrometric imaging (MSI) in the area of cancer research. As an alternative to MALDI, DESI-MSI offers matrix deposition-free experiment with improved signal in the lower (<500m/z) range...
2017: Advances in Cancer Research
https://www.readbyqxmd.com/read/28106223/next-generation-of-network-medicine-interdisciplinary-signaling-approaches
#18
REVIEW
Tamas Korcsmaros, Maria Victoria Schneider, Giulio Superti-Furga
In the last decade, network approaches have transformed our understanding of biological systems. Network analyses and visualizations have allowed us to identify essential molecules and modules in biological systems, and improved our understanding of how changes in cellular processes can lead to complex diseases, such as cancer, infectious and neurodegenerative diseases. "Network medicine" involves unbiased large-scale network-based analyses of diverse data describing interactions between genes, diseases, phenotypes, drug targets, drug transport, drug side-effects, disease trajectories and more...
February 20, 2017: Integrative Biology: Quantitative Biosciences From Nano to Macro
https://www.readbyqxmd.com/read/28073184/functional-lipidomics-palmitic-acid-impairs-hepatocellular-carcinoma-development-by-modulating-membrane-fluidity-and-glucose-metabolism
#19
Ling Lin, Ying Ding, Yi Wang, Zhenxin Wang, Xuefei Yin, Guoquan Yan, Lei Zhang, Pengyuan Yang, Huali Shen
Lipids are essential cellular components and energy sources of living organisms, and altered lipid composition is increasingly recognized as a signature of cancer. We performed lipidomic analysis in a series of hepatocellular carcinoma (HCC) cells and identified over 1,700 intact lipids originating from three major lipid categories. Comparative lipidomic screening revealed that 93 significantly changed lipids and decreased palmitic acyl (C16:0)-containing glycerophospholipids were positively associated with metastatic abilities of HCC cells...
August 2017: Hepatology: Official Journal of the American Association for the Study of Liver Diseases
https://www.readbyqxmd.com/read/27992229/comprehensive-metabolomic-and-lipidomic-profiling-of-human-kidney-tissue-a-platform-comparison
#20
Patrick Leuthold, Elke Schaeffeler, Stefan Winter, Florian Büttner, Ute Hofmann, Thomas E Mürdter, Steffen Rausch, Denise Sonntag, Judith Wahrheit, Falko Fend, Jörg Hennenlotter, Jens Bedke, Matthias Schwab, Mathias Haag
Metabolite profiling of tissue samples is a promising approach for the characterization of cancer pathways and tumor classification based on metabolic features. Here, we present an analytical method for nontargeted metabolomics of kidney tissue. Capitalizing on different chemical properties of metabolites allowed us to extract a broad range of molecules covering small polar molecules and less polar lipid classes that were analyzed by LC-QTOF-MS after HILIC and RP chromatographic separation, respectively. More than 1000 features could be reproducibly extracted and analyzed (CV < 30%) in porcine and human kidney tissue, which were used as surrogate matrices for method development...
January 12, 2017: Journal of Proteome Research
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