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An G, Zhang Y, Fan L, Chen J, Wei M, Li C, Chen X, Zhang L, Yang D, Wang J. Integrative Analysis of Vaginal Microorganisms and Serum Metabolomics in Rats With Estrous Cycle Disorder Induced by Long-Term Heat Exposure Based on 16S rDNA Gene Sequencing and LC/MS-Based Metabolomics. Front Cell Infect Microbiol 2021; 11:595716. [PMID: 33738264 PMCID: PMC7962411 DOI: 10.3389/fcimb.2021.595716] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/11/2021] [Indexed: 12/26/2022] Open
Abstract
Long term heat exposure (HE) leads to estrous cycle disorder (ECD) in female rats and damages reproductive function. However, the regulation mechanism of vaginal microorganisms and serum metabolomics remains unclear. This study aimed to explore the effects of microbes on the vaginal secretions of rats with ECD and describe the serum metabolomics characteristics and their relationship with vaginal microorganisms. The alterations in the serum levels of neurotransmitters were used to verify the possible regulatory pathways. The relative abundance, composition, and colony interaction network of microorganisms in the vaginal secretions of rats with ECD changed significantly. The metabolomics analysis identified 22 potential biomarkers in the serum including lipid metabolism, amino acid metabolism, and mammalian target of rapamycin and gonadotropin-releasing hormone (GnRH) signaling pathways. Further, 52 pairs of vaginal microbiota–serum metabolites correlations (21 positive and 31 negative) were determined. The abundance of Gardnerella correlated positively with the metabolite L-arginine concentration and negatively with the oleic acid concentration. Further, a negative correlation was found between the abundance of Pseudomonas and the L-arginine concentration and between the metabolite benzoic acid concentration and the abundance of Adlercreutzia. These four bacteria–metabolite pairs had a direct or indirect relationship with the estrous cycle and reproduction. The glutamine, glutamate, and dopamine levels were significantly uncontrolled. The former two were closely related to GnRH signaling pathways involved in the development and regulation of HE-induced ECD in rats. Serum neurotransmitters partly reflected the regulatory effect of vaginal microorganisms on the host of HE-induced ECD, and glutamatergic neurotransmitters might be closely related to the alteration in vaginal microorganisms. These findings might help comprehend the mechanism of HE-induced ECD and propose a new intervention based on vaginal microorganisms.
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Affiliation(s)
- GaiHong An
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Yu Zhang
- Department of Endocrinology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin, China
| | - LiJun Fan
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - JiaJun Chen
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - MengFan Wei
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Chao Li
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - XueWei Chen
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Li Zhang
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - DanFeng Yang
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Jing Wang
- Department of Operational Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
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2
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Kaur S, Sarma SJ, Marshall BL, Liu Y, Kinkade JA, Bellamy MM, Mao J, Helferich WG, Schenk AK, Bivens NJ, Lei Z, Sumner LW, Bowden JA, Koelmel JP, Joshi T, Rosenfeld CS. Developmental exposure of California mice to endocrine disrupting chemicals and potential effects on the microbiome-gut-brain axis at adulthood. Sci Rep 2020; 10:10902. [PMID: 32616744 PMCID: PMC7331640 DOI: 10.1038/s41598-020-67709-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 05/21/2020] [Indexed: 12/26/2022] Open
Abstract
Xenoestrogens are chemicals found in plant products, such as genistein (GEN), and in industrial chemicals, e.g., bisphenol A (BPA), present in plastics and other products that are prevalent in the environment. Early exposure to such endocrine disrupting chemicals (EDC) may affect brain development by directly disrupting neural programming and/or through the microbiome-gut-brain axis. To test this hypothesis, California mice (Peromyscus californicus) offspring were exposed through the maternal diet to GEN (250 mg/kg feed weight) or BPA (5 mg/kg feed weight, low dose- LD or 50 mg/kg, upper dose-UD), and dams were placed on these diets two weeks prior to breeding, throughout gestation, and lactation. Various behaviors, gut microbiota, and fecal metabolome were assessed at 90 days of age. The LD but not UD of BPA exposure resulted in individuals spending more time engaging in repetitive behaviors. GEN exposed individuals were more likely to exhibit such behaviors and showed socio-communicative disturbances. BPA and GEN exposed females had increased number of metabolites involved in carbohydrate metabolism and synthesis. Males exposed to BPA or GEN showed alterations in lysine degradation and phenylalanine and tyrosine metabolism. Current findings indicate cause for concern that developmental exposure to BPA or GEN might affect the microbiome-gut-brain axis.
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Affiliation(s)
- Sarabjit Kaur
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Saurav J Sarma
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA
| | - Brittney L Marshall
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Yang Liu
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA
| | - Jessica A Kinkade
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Madison M Bellamy
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Jiude Mao
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - William G Helferich
- Food Science and Human Nutrition, University of Illinois, Urbana, IL, 61801, USA
| | | | - Nathan J Bivens
- DNA Core Facility, University of Missouri, Columbia, MO, 65211, USA
| | - Zhentian Lei
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA.,Department of Biochemistry, University of Missouri, Columbia, MO, 65211, USA
| | - Lloyd W Sumner
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA.,Department of Biochemistry, University of Missouri, Columbia, MO, 65211, USA
| | - John A Bowden
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32610, USA.,Center for Environmental and Human Toxicology, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Jeremy P Koelmel
- Environmental Health Sciences, Yale University, New Haven, CT, 06510, USA
| | - Trupti Joshi
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.,MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA.,Department of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, MO, 65211, USA
| | - Cheryl S Rosenfeld
- Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. .,Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA. .,MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA. .,Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, MO, 65211, USA. .,Genetics Area Program, University of Missouri, Columbia, MO, 65211, USA.
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3
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Criado-Navarro I, Mena-Bravo A, Calderón-Santiago M, Priego-Capote F. Profiling analysis of phospholipid fatty acids in serum as a complement to the comprehensive fatty acids method. J Chromatogr A 2020; 1619:460965. [PMID: 32085913 DOI: 10.1016/j.chroma.2020.460965] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/20/2020] [Accepted: 02/10/2020] [Indexed: 12/27/2022]
Abstract
Fatty acids (FAs) are mostly found in blood as triglycerides, phospholipids (PLs) and cholesteryl esters. Determination of FAs is typically carried out in serum or plasma by a comprehensive method (known as the classical FAMEs method since FAs are determined as Fatty Acids Methyl Esters), which is based on liquid-liquid extraction, derivatization by transesterification, and determination by gas chromatography (GC) coupled to a suited detection technique. However, this method does not favor the determination of FAs that are chemically conjugated in PLs due to kinetics impediment. For this reason, we have developed a selective method to determine the FAs profile of PLs in serum based on solid-phase extraction (SPE) for isolation of PLs and determination of the FAME derivatives by GC-mass spectrometry (GC-MS). The method was applied to serum samples collected from twenty-five individuals to compare the FAs profile versus that provided by the non-selective protocol based on liquid-liquid extraction of lipid families. Statistical analysis revealed compositional changes in the FAs profile with special emphasis on the content of saturated (SFAs) and monounsaturated FAs (MUFAs). Thus, SFAs passed from 34.0% with the classical method to 49.3% in PLs while MUFAs went from 24.4% to 11.4%. This study proves that the proposed method provides complementary results to the comprehensive method and, therefore, both methods can be combined to evaluate the effect of intervention diets and their connection to metabolic diseases.
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Affiliation(s)
- Inmaculada Criado-Navarro
- Maimónides Institute for Biomedical Research (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain; Department of Analytical Chemistry, University of Córdoba, Córdoba, Spain; Nanochemistry University Institute (IUNAN), Campus of Rabanales, University of Córdoba, Córdoba, Spain
| | - Antonio Mena-Bravo
- Maimónides Institute for Biomedical Research (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain; Department of Analytical Chemistry, University of Córdoba, Córdoba, Spain; Nanochemistry University Institute (IUNAN), Campus of Rabanales, University of Córdoba, Córdoba, Spain
| | - Mónica Calderón-Santiago
- Maimónides Institute for Biomedical Research (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain; Department of Analytical Chemistry, University of Córdoba, Córdoba, Spain; Nanochemistry University Institute (IUNAN), Campus of Rabanales, University of Córdoba, Córdoba, Spain.
| | - Feliciano Priego-Capote
- Maimónides Institute for Biomedical Research (IMIBIC), Reina Sofía University Hospital, Córdoba, Spain; Department of Analytical Chemistry, University of Córdoba, Córdoba, Spain; Nanochemistry University Institute (IUNAN), Campus of Rabanales, University of Córdoba, Córdoba, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Carlos III Health Institute, Madrid, Spain.
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4
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Metabolomic studies of breast cancer in murine models: A review. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165713. [PMID: 32014550 DOI: 10.1016/j.bbadis.2020.165713] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/06/2019] [Accepted: 01/29/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Metabolomic strategies have been extensively used to search for biomarkers of disease, including cancer, in biological complex mixtures such as cells, tissues and biofluids. In breast cancer research, murine models are of great value and metabolomics has been increasingly applied to characterize tumor or organ tissues, or biofluids, for instance to follow-up metabolism during cancer progression or response to specific therapies. SCOPE OF REVIEW This review briefly introduces the different murine models used in breast cancer research and proceeds to present the metabolomic studies reported so far to describe the deviant metabolic behavior associated to breast cancer, in each type of model: xenografts (cell- or patient-derived), spontaneous (naturally-occurring or genetically engineered) and carcinogen-induced. The type of sample and strategies followed are identified, as well as the main findings from of study. MAJOR CONCLUSIONS Metabolomics has gradually become relevant in characterizing murine models of breast cancer, using either Nuclear Magnetic Resonance (NMR) or Mass Spectromety (MS). Both tissue and biofluids are matrixes of interest in this context, although in some type of models, reports have focused primarily on the former. The aims of tissue studies have comprised the search for mechanistic knowledge of carcinogenesis, metastasis development and response/resistance to therapies. Biofluid metabolomics has mainly aimed at finding non-invasive biomarkers for early breast cancer detection or prognosis determination. GENERAL SIGNIFICANCE Metabolomics provides exquisite detail on murine tumor and systemic metabolism of breast cancer. This knowledge paves the way for the discovery of new biomarkers, potentially translatable to in vivo non-invasive patient follow-up.
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Chen Z, Li Z, Li H, Jiang Y. Metabolomics: a promising diagnostic and therapeutic implement for breast cancer. Onco Targets Ther 2019; 12:6797-6811. [PMID: 31686838 PMCID: PMC6709037 DOI: 10.2147/ott.s215628] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/22/2019] [Indexed: 12/24/2022] Open
Abstract
Breast cancer (BC) is the most commonly diagnosed cancer among women and the leading cause of cancer death. Despite the advent of numerous diagnosis and treatment methods in recent years, this heterogeneous disease still presents great challenges in early diagnosis, curative treatments and prognosis monitoring. Thus, finding promising early diagnostic biomarkers and therapeutic targets and approaches is meaningful. Metabolomics, which focuses on the analysis of metabolites that change during metabolism, can reveal even a subtle abnormal change in an individual. In recent decades, the exploration of cancer-related metabolomics has increased. Metabolites can be promising biomarkers for the screening, response evaluation and prognosis of BC. In this review, we summarized the workflow of metabolomics, described metabolite signatures based on molecular subtype as well as reclassification and then discussed the application of metabolomics in the early diagnosis, monitoring and prognosis of BC to offer new insights for clinicians in breast cancer diagnosis and treatment.
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Affiliation(s)
- Zhanghan Chen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Zehuan Li
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Haoran Li
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Ying Jiang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
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6
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Marshall BL, Liu Y, Farrington MJ, Mao J, Helferich WG, Schenk AK, Bivens NJ, Sarma SJ, Lei Z, Sumner LW, Joshi T, Rosenfeld CS. Early genistein exposure of California mice and effects on the gut microbiota-brain axis. J Endocrinol 2019; 242:139-157. [PMID: 31189133 PMCID: PMC6885123 DOI: 10.1530/joe-19-0214] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/10/2019] [Indexed: 12/12/2022]
Abstract
Human offspring encounter high amounts of phytoestrogens, such as genistein (GEN), through maternal diet and soy-based formulas. Such chemicals can exert estrogenic activity and thereby disrupt neurobehavioral programming. Besides inducing direct host effects, GEN might cause gut dysbiosis and alter gut metabolites. To determine whether exposure to GEN affects these parameters, California mice (Peromyscus californicus) dams were placed 2 weeks prior to breeding and throughout gestation and lactation on a diet supplemented with GEN (250 mg/kg feed weight) or AIN93G phytoestrogen-free control diet (AIN). At weaning, offspring socio-communicative behaviors, gut microbiota and metabolite profiles were assayed. Exposure of offspring to GEN-induced sex-dependent changes in gut microbiota and metabolites. GEN exposed females were less likely to investigate a novel female mouse when tested in a three-chamber social test. When isolated, GEN males and females exhibited increased latency to elicit their first call, suggestive of reduced motivation to communicate with other individuals. Correlation analyses revealed interactions between GEN-induced microbiome, metabolome and socio-communicative behaviors. Comparison of GEN males with AIN males revealed the fraction of calls above 20 kHz was associated with daidzein, α-tocopherol, Flexispira spp. and Odoribacter spp. Results suggest early GEN exposure disrupts normal socio-communicative behaviors in California mice, which are otherwise evident in these social rodents. Such effects may be due to GEN disruptions on neural programming but might also be attributed to GEN-induced microbiota shifts and resultant changes in gut metabolites. Findings indicate cause for concern that perinatal exposure to GEN may detrimentally affect the offspring microbiome-gut-brain axis.
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Affiliation(s)
- Brittney L Marshall
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Biomedical Sciences, University of Missouri, Columbia, Missouri, USA
| | - Yang Liu
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | - Michelle J Farrington
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Biomedical Sciences, University of Missouri, Columbia, Missouri, USA
| | - Jiude Mao
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Biomedical Sciences, University of Missouri, Columbia, Missouri, USA
| | - William G Helferich
- Food Science and Human Nutrition, University of Illinois, Urbana, Illinois, USA
| | | | - Nathan J Bivens
- DNA Core Facility, University of Missouri, Columbia, Missouri, USA
| | - Saurav J Sarma
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- MU Metabolomics Center, University of Missouri, Columbia, Missouri, USA
| | - Zhentian Lei
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- MU Metabolomics Center, University of Missouri, Columbia, Missouri, USA
- Department of Biochemistry, University of Missouri, Columbia, Missouri, USA
| | - Lloyd W Sumner
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- MU Metabolomics Center, University of Missouri, Columbia, Missouri, USA
- Department of Biochemistry, University of Missouri, Columbia, Missouri, USA
| | - Trupti Joshi
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Informatics Institute, University of Missouri, Columbia, Missouri, USA
- Department of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, Missouri, USA
| | - Cheryl S Rosenfeld
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Biomedical Sciences, University of Missouri, Columbia, Missouri, USA
- Informatics Institute, University of Missouri, Columbia, Missouri, USA
- Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, Missouri, USA
- Genetics Area Program, University of Missouri, Columbia, Missouri, USA
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7
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Petrick LM, Schiffman C, Edmands WMB, Yano Y, Perttula K, Whitehead T, Metayer C, Wheelock CE, Arora M, Grigoryan H, Carlsson H, Dudoit S, Rappaport SM. Metabolomics of neonatal blood spots reveal distinct phenotypes of pediatric acute lymphoblastic leukemia and potential effects of early-life nutrition. Cancer Lett 2019; 452:71-78. [PMID: 30904619 PMCID: PMC6499387 DOI: 10.1016/j.canlet.2019.03.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 03/01/2019] [Accepted: 03/10/2019] [Indexed: 02/02/2023]
Abstract
Early-life exposures are believed to influence the incidence of pediatric acute lymphoblastic leukemia (ALL). Archived neonatal blood spots (NBS), collected within the first days of life, offer a means to investigate small molecules that reflect early-life exposures. Using untargeted metabolomics, we compared abundances of small-molecule features in extracts of NBS punches from 332 children that later developed ALL and 324 healthy controls. Subjects were stratified by early (1-5 y) and late (6-14 y) diagnosis. Mutually-exclusive sets of metabolic features - representing putative lipids and fatty acids - were associated with ALL, including 9 and 19 metabolites in the early- and late-diagnosis groups, respectively. In the late-diagnosis group, a prominent cluster of features with apparent 18:2 fatty-acid chains suggested that newborn exposure to the essential nutrient, linoleic acid, increased ALL risk. Interestingly, abundances of these putative 18:2 lipids were greater in infants who were fed formula rather than breast milk (colostrum) and increased with the mother's pre-pregnancy body mass index. These results suggest possible etiologic roles of newborn nutrition in late-diagnosis ALL.
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Affiliation(s)
- Lauren M Petrick
- The Senator Frank R. Lautenberg Environmental Health Science Laboratory, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA
| | - Courtney Schiffman
- Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA
| | - William M B Edmands
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Yukiko Yano
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA
| | - Kelsi Perttula
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Todd Whitehead
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA
| | - Catherine Metayer
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA
| | - Craig E Wheelock
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - Manish Arora
- The Senator Frank R. Lautenberg Environmental Health Science Laboratory, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hasmik Grigoryan
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Henrik Carlsson
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Sandrine Dudoit
- Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA; Department of Statistics, University of California, Berkeley, CA, USA
| | - Stephen M Rappaport
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA; Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, CA, USA.
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Current Status and Future Prospects of Clinically Exploiting Cancer-specific Metabolism-Why Is Tumor Metabolism Not More Extensively Translated into Clinical Targets and Biomarkers? Int J Mol Sci 2019; 20:ijms20061385. [PMID: 30893889 PMCID: PMC6471292 DOI: 10.3390/ijms20061385] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/14/2019] [Accepted: 03/15/2019] [Indexed: 02/07/2023] Open
Abstract
Tumor cells exhibit a specialized metabolism supporting their superior ability for rapid proliferation, migration, and apoptotic evasion. It is reasonable to assume that the specific metabolic needs of the tumor cells can offer an array of therapeutic windows as pharmacological disturbance may derail the biochemical mechanisms necessary for maintaining the tumor characteristics, while being less important for normally proliferating cells. In addition, the specialized metabolism may leave a unique metabolic signature which could be used clinically for diagnostic or prognostic purposes. Quantitative global metabolic profiling (metabolomics) has evolved over the last two decades. However, despite the technology’s present ability to measure 1000s of endogenous metabolites in various clinical or biological specimens, there are essentially no examples of metabolomics investigations being translated into actual utility in the cancer clinic. This review investigates the current efforts of using metabolomics as a tool for translation of tumor metabolism into the clinic and further seeks to outline paths for increasing the momentum of using tumor metabolism as a biomarker and drug target opportunity.
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