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Lin F, Kennelly EJ, Linington RG, Long C. Comprehensive Metabolite Profiling of Two Edible Garcinia Species Based on UPLC-ESI-QTOF-MS E Coupled with Bioactivity Assays. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:7604-7617. [PMID: 37154236 DOI: 10.1021/acs.jafc.2c08372] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
In China, the endemic species Garcinia yunnanensis and native Garcinia xanthochymus are known as edible and medicinal plants. However, a systematic metabolomic and bioactivity evaluation of different plant parts from both species is lacking. In this study, comprehensive investigations of 11 plant parts of G. yunnanensis and 10 of G. xanthochymus employing UPLC-ESI-QTOF-MSE-based metabolomic analysis in conjunction with three bioactivity assays were undertaken. A customized chemotaxonomic-based in-house library containing 6456 compounds was constructed and coupled to the Progenesis QI informatic platform for metabolite annotations. From these two species, a total of 235 constituents were characterized using multiple criteria. Differences in metabolite profiles between the plant parts within each species were uncovered using multivariate analysis. Based on orthogonal partial least-squares discriminant analysis (OPLS-DA), 23 markers were identified as highly differential metabolites from G. xanthochymus and 20 from G. yunnanensis. Comparative assessment of the biological assays revealed the activity variations among different plant parts. The seeds of both species and G. yunnanensis latex exhibited excellent cytotoxic and antibacterial activities, while G. xanthochymus roots and G. yunnanensis arils showed strong anti-inflammatory effects. S-plot analysis identified 26 potential biomarkers for the observed activities, including the known cytotoxic agent cycloxanthochymol and the anti-inflammatory compound garcimultiflorone B, which likely explains some of the potent observed bioactivity.
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Affiliation(s)
- Fengke Lin
- Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission of China, Beijing 100081, People's Republic of China
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, People's Republic of China
- Key Laboratory of Ethnomedicine, Minzu University of China, Ministry of Education, Beijing 100081, People's Republic of China
- Department of Chemistry, Simon Fraser University, Burnaby V5A 1S6, Canada
| | - Edward J Kennelly
- Department of Biological Sciences, Lehman College, City University of New York, New York, New York 10468, United States
- PhD Program in Biology, The Graduate Center, City University of New York, New York, New York 10016, United States
| | - Roger G Linington
- Department of Chemistry, Simon Fraser University, Burnaby V5A 1S6, Canada
| | - Chunlin Long
- Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission of China, Beijing 100081, People's Republic of China
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, People's Republic of China
- Key Laboratory of Ethnomedicine, Minzu University of China, Ministry of Education, Beijing 100081, People's Republic of China
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission of China, Beijing 100081, China
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Sagini K, Urbanelli L, Buratta S, Emiliani C, Llorente A. Lipid Biomarkers in Liquid Biopsies: Novel Opportunities for Cancer Diagnosis. Pharmaceutics 2023; 15:pharmaceutics15020437. [PMID: 36839759 PMCID: PMC9966160 DOI: 10.3390/pharmaceutics15020437] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
Altered cellular metabolism is a well-established hallmark of cancer. Although most studies have focused on the metabolism of glucose and glutamine, the upregulation of lipid metabolism is also frequent in cells undergoing oncogenic transformation. In fact, cancer cells need to meet the enhanced demand of plasma membrane synthesis and energy production to support their proliferation. Moreover, lipids are precursors of signaling molecules, termed lipid mediators, which play a role in shaping the tumor microenvironment. Recent methodological advances in lipid analysis have prompted studies aimed at investigating the whole lipid content of a sample (lipidome) to unravel the complexity of lipid changes in cancer patient biofluids. This review focuses on the application of mass spectrometry-based lipidomics for the discovery of cancer biomarkers. Here, we have summarized the main lipid alteration in cancer patients' biofluids and uncovered their potential use for the early detection of the disease and treatment selection. We also discuss the advantages of using biofluid-derived extracellular vesicles as a platform for lipid biomarker discovery. These vesicles have a molecular signature that is a fingerprint of their originating cells. Hence, the analysis of their molecular cargo has emerged as a promising strategy for the identification of sensitive and specific biomarkers compared to the analysis of the unprocessed biofluid.
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Affiliation(s)
- Krizia Sagini
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, 0379 Oslo, Norway
- Centre for Cancer Cell Reprogramming, Faculty of Medicine, University of Oslo, Montebello, 0379 Oslo, Norway
- Correspondence: ; Tel.: +47-22-78-18-13
| | - Lorena Urbanelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
| | - Sandra Buratta
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
| | - Carla Emiliani
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
- CEMIN (Center of Excellence for Innovative Nanostructured Material), University of Perugia, 06123 Perugia, Italy
| | - Alicia Llorente
- Department of Molecular Cell Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, 0379 Oslo, Norway
- Centre for Cancer Cell Reprogramming, Faculty of Medicine, University of Oslo, Montebello, 0379 Oslo, Norway
- Department for Mechanical, Electronics and Chemical Engineering, Oslo Metropolitan University, 0167 Oslo, Norway
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Taware R, More TH, Bagadi M, Taunk K, Mane A, Rapole S. Lipidomics investigations into the tissue phospholipidomic landscape of invasive ductal carcinoma of the breast. RSC Adv 2021; 11:397-407. [PMID: 35423059 PMCID: PMC8690848 DOI: 10.1039/d0ra07368g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 11/27/2020] [Indexed: 12/24/2022] Open
Abstract
The need of identifying alternative therapeutic targets for invasive ductal carcinoma (IDC) of the breast with high specificity and sensitivity for effective therapeutic intervention is crucial for lowering the risk of fatality. Lipidomics has emerged as a key area for the discovery of potential candidates owing to its several shared pathways between cancer cell proliferation and survival. In the current study, we performed comparative phospholipidomic analysis of IDC, benign and control tissue samples of the breast to identify the significant lipid alterations associated with malignant transformation. A total of 33 each age-matched tissue samples from malignant, benign and control were analyzed to identify the altered phospholipids by using liquid chromatography-multiple reaction monitoring mass spectrometry (LC-MRM/MS). A combination of univariate and multivariate statistical approaches was used to select the phospholipid species with the highest contribution in group segregation. Furthermore, these altered phospholipids were structurally confirmed by tandem mass spectrometry. A total of 244 phospholipids were detected consistently at quantifiable levels, out of which 32 were significantly altered in IDC of the breast. Moreover, in pairwise comparison of IDC against benign and control samples, 11 phospholipids were found to be significantly differentially expressed. Particularly, LPI 20:3, PE (22:1/22:2), LPE 20:0 and PC (20:4/22:4) were observed to be most significantly associated with IDC tissue samples. Apart from that, we also identified that long-chain unsaturated fatty acids were enriched in the IDC tissue samples as compared to benign and control samples, indicating its possible association with the invasive phenotype. Identification of tissue phospholipid alternations associated with invasive ductal carcinoma of breast.![]()
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Affiliation(s)
- Ravindra Taware
- Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune-411007, MH, India
| | - Tushar H. More
- Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune-411007, MH, India
| | - Muralidhararao Bagadi
- Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune-411007, MH, India
| | - Khushman Taunk
- Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune-411007, MH, India
| | - Anupama Mane
- Grant Medical Foundation, Ruby Hall Clinic, Pune-411001, MH, India
| | - Srikanth Rapole
- Proteomics Lab, National Centre for Cell Science, Ganeshkhind, Pune-411007, MH, India
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Lin X, Huang X, Zhou L, Ren W, Zeng J, Yao W, Wang X. The Robust Classification Model Based on Combinatorial Features. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2019; 16:650-657. [PMID: 29990202 DOI: 10.1109/tcbb.2017.2779512] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Analyzing the disease data from the view of combinatorial features may better characterize the disease phenotype. In this study, a novel method is proposed to construct feature combinations and a classification model (CFC-CM) by mining key feature relationships. CFC-CM iteratively tests for differences in the feature relationship between different groups. To do this, it uses a modified $k$k-top-scoring pair (M-$k$k-TSP) algorithm and then selects the most discriminative feature pairs in the current feature set to infer the combinatorial features and build the classification model. Compared with support vector machines, random forests, least absolute shrinkage and selection operator, elastic net, and M-$k$k-TSP, the superior performance of CFC-CM on nine public gene expression datasets validates its potential for more precise identification of complex diseases. Subsequently, CFC-CM was applied to two metabolomics datasets, it obtained accuracy rates of $88.73\pm 2.06\%$88.73±2.06% and $79.11\pm 2.70\%$79.11±2.70% in distinguishing between hepatocellular carcinoma and hepatic cirrhosis groups and between acute kidney injury (AKI) and non-AKI samples, results superior to those of the other five methods. In summary, the better results of CFC-CM show that in contrast to molecules and combinations constituted by just two features, the combinations inferred by appropriate number of features could better identify the complex diseases.
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Mentoor I, Engelbrecht AM, Nell T. Fatty acids: Adiposity and breast cancer chemotherapy, a bad synergy? Prostaglandins Leukot Essent Fatty Acids 2019; 140:18-33. [PMID: 30553399 DOI: 10.1016/j.plefa.2018.11.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 11/12/2018] [Accepted: 11/20/2018] [Indexed: 02/07/2023]
Abstract
Globally, breast cancer continues to be a major concern in women's health. Lifestyle related risk factors, specifically excess adipose tissue (adiposity) has reached epidemic proportions and has been identified as a major risk factor in the development of breast cancer. Dysfunctional adipose tissue has evoked research focusing on its association with metabolic-related conditions, breast cancer risk and progression. Adipose dysfunction in coordination with immune cells and inflammation, are responsible for accelerated cell growth and survival of cancer cells. Recently, evidence also implicates adiposity as a potential risk factor for chemotherapy resistance. Chemotherapeutic agents have been shown to negatively impact adipose tissue. Since adipose tissue is a major storage site for fatty acids, it is not unlikely that these negative effects may disrupt adipose tissue homeostasis. It is therefore argued that fatty acid composition may be altered due to the chemotherapeutic pharmacokinetics, which in turn could have severe health related outcomes. The underlying molecular mechanisms elucidating the effects of fatty acid composition in adiposity-linked drug resistance are still unclear and under explored. This review focuses on the potential role of adiposity in breast cancer and specifically emphasizes the role of fatty acids in cancer progression and treatment resistance.
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Affiliation(s)
- Ilze Mentoor
- Department of Physiological Sciences, Faculty of Sciences, Stellenbosch University Main Campus, Stellenbosch 7600, Western Cape, Republic of South Africa
| | - A-M Engelbrecht
- Department of Physiological Sciences, Faculty of Sciences, Stellenbosch University Main Campus, Stellenbosch 7600, Western Cape, Republic of South Africa
| | - Theo Nell
- Department of Physiological Sciences, Faculty of Sciences, Stellenbosch University Main Campus, Stellenbosch 7600, Western Cape, Republic of South Africa.
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Cala MP, Aldana J, Medina J, Sánchez J, Guio J, Wist J, Meesters RJW. Multiplatform plasma metabolic and lipid fingerprinting of breast cancer: A pilot control-case study in Colombian Hispanic women. PLoS One 2018; 13:e0190958. [PMID: 29438405 PMCID: PMC5810980 DOI: 10.1371/journal.pone.0190958] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Accepted: 12/22/2017] [Indexed: 01/22/2023] Open
Abstract
Breast cancer (BC) is a highly heterogeneous disease associated with metabolic reprogramming. The shifts in the metabolome caused by BC still lack data from Latin populations of Hispanic origin. In this pilot study, metabolomic and lipidomic approaches were performed to establish a plasma metabolic fingerprint of Colombian Hispanic women with BC. Data from 1H-NMR, GC-MS and LC-MS were combined and compared. Statistics showed discrimination between breast cancer and healthy subjects on all analytical platforms. The differentiating metabolites were involved in glycerolipid, glycerophospholipid, amino acid and fatty acid metabolism. This study demonstrates the usefulness of multiplatform approaches in metabolic/lipid fingerprinting studies to broaden the outlook of possible shifts in metabolism. Our findings propose relevant plasma metabolites that could contribute to a better understanding of underlying metabolic shifts driven by BC in women of Colombian Hispanic origin. Particularly, the understanding of the up-regulation of long chain fatty acyl carnitines and the down-regulation of cyclic phosphatidic acid (cPA). In addition, the mapped metabolic signatures in breast cancer were similar but not identical to those reported for non-Hispanic women, despite racial differences.
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Affiliation(s)
- Mónica P. Cala
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Bogotá D.C., Colombia
| | - Julian Aldana
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Bogotá D.C., Colombia
| | - Jessica Medina
- Department of Chemistry, Universidad del Valle, Cali, Colombia
| | - Julián Sánchez
- Liga contra el Cáncer Seccional Bogotá, Bogotá, Colombia
| | - José Guio
- Liga contra el Cáncer Seccional Bogotá, Bogotá, Colombia
| | - Julien Wist
- Department of Chemistry, Universidad del Valle, Cali, Colombia
| | - Roland J. W. Meesters
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Bogotá D.C., Colombia
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More TH, RoyChoudhury S, Christie J, Taunk K, Mane A, Santra MK, Chaudhury K, Rapole S. Metabolomic alterations in invasive ductal carcinoma of breast: A comprehensive metabolomic study using tissue and serum samples. Oncotarget 2018; 9:2678-2696. [PMID: 29416801 PMCID: PMC5788669 DOI: 10.18632/oncotarget.23626] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 12/08/2017] [Indexed: 01/05/2023] Open
Abstract
Invasive ductal carcinoma (IDC) is the most common type of breast cancer and the leading cause of breast cancer related mortality. In the present study, metabolomic profiles of 72 tissue samples and 146 serum samples were analysed using targeted liquid chromatography multiple reaction monitoring mass spectrometry (LC-MRM/MS) and untargeted gas chromatography mass spectrometry (GC-MS) approaches. Combination of univariate and multivariate statistical treatment identified significant alterations of 42 and 32 metabolites in tissue and serum samples of IDC, respectively when compared to control. Some of the metabolite changes from tissue were also reflected in serum, indicating a bi-directional interaction of metabolites in IDC. Additionally, 8 tissue metabolites and 9 serum metabolites showed progressive change from control to benign to IDC suggesting their possible role in malignant transformation. We have identified a panel of three metabolites viz. tryptophan, tyrosine, and creatine in tissue and serum, which could be useful in screening of IDC subjects from both control and benign. The metabolomic alterations in IDC showed perturbations in purine and pyrimidine metabolism, amino sugar metabolism, amino acid metabolism, fatty acid biosynthesis etc. Comprehensively, this study provides valuable insights into metabolic adaptations of IDC, which can help to identify diagnostic markers as well as potential therapeutic targets.
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Affiliation(s)
- Tushar H. More
- Proteomics Lab, National Center for Cell Science, Ganeshkhind, Pune 411007, MH, India
- Savitribai Phule Pune University, Ganeshkhind, Pune 411007, MH, India
| | - Sourav RoyChoudhury
- School of Medical Science and Technology, Indian Institute of Technology, Kharagpur 721302, WB, India
| | - Joel Christie
- Proteomics Lab, National Center for Cell Science, Ganeshkhind, Pune 411007, MH, India
| | - Khushman Taunk
- Proteomics Lab, National Center for Cell Science, Ganeshkhind, Pune 411007, MH, India
| | - Anupama Mane
- Grant Medical Foundation, Ruby Hall Clinic, Pune 411001, MH, India
| | - Manas K. Santra
- Cancer Biology and Epigenetics Lab, National Center for Cell Science, Ganeshkhind, Pune 411007, MH, India
| | - Koel Chaudhury
- School of Medical Science and Technology, Indian Institute of Technology, Kharagpur 721302, WB, India
| | - Srikanth Rapole
- Proteomics Lab, National Center for Cell Science, Ganeshkhind, Pune 411007, MH, India
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Jiang N, Zhang G, Pan L, Yan C, Zhang L, Weng Y, Wang W, Chen X, Yang G. Potential plasma lipid biomarkers in early-stage breast cancer. Biotechnol Lett 2017; 39:1657-1666. [PMID: 28828718 DOI: 10.1007/s10529-017-2417-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Accepted: 08/20/2017] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To find new biomarkers for early diagnosis of breast cancer. RESULTS 847 lipid species were identified from 78 plasma samples (37 breast cancer samples and 41 healthy controls) by ultra HPLC coupled with quadrupole time-of-flight tandem mass spectrometry. These include 321 glycerophospholipids (GPs), 265 glycerolipids (GLs), 91 sphingolipids (SPs), 77 fatty acyls (FAs), 68 sterol lipids (STs), 18 prenol lipids (PRs), 6 polyketides (PKs), and 1 saccharolipid (SL). Separation was observed from an orthogonal signal correction Partial Least Square Discrimination Analysis model. Based on this analysis, six differentiating lipids were identified: PC (20:2/20:5), PC (22:0/24:1), TG (12:0/14:1), and DG (18:1/18:2) had high levels, whereas PE (15:0/19:1) and N-palmitoyl proline had low levels in the breast cancer samples compared with the healthy controls. Furthermore, significant differences in metabolites were found among some clinical characteristics. CONCLUSIONS Our results reveal that six specific lipids could serve as potential biomarkers for early diagnosis of breast cancer.
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Affiliation(s)
- Nan Jiang
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Guofen Zhang
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Lijie Pan
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Chengping Yan
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Liwei Zhang
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Yan Weng
- Department of Pathology, First Hospital of Tsinghua University, Beijing, 100016, China
| | - Wenjun Wang
- Beijing Qiji Biotechnology Company, Beijing, 100193, China
| | - Xianyang Chen
- Beijing Qiji Biotechnology Company, Beijing, 100193, China
| | - Guoshan Yang
- Department of General Surgery, First Hospital of Tsinghua University, Beijing, 100016, China.
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