Letteratura scientifica selezionata sul tema "Untargeted Metabolomics approaches"
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Articoli di riviste sul tema "Untargeted Metabolomics approaches"
Zhou, Jinna, Donghai Hou, Weiqiu Zou, Jinhu Wang, Run Luo, Mu Wang e Hong Yu. "Comparison of Widely Targeted Metabolomics and Untargeted Metabolomics of Wild Ophiocordyceps Sinensis". Molecules 27, n. 11 (6 giugno 2022): 3645. http://dx.doi.org/10.3390/molecules27113645.
Testo completoCREEK, DARREN J., e MICHAEL P. BARRETT. "Determination of antiprotozoal drug mechanisms by metabolomics approaches". Parasitology 141, n. 1 (5 giugno 2013): 83–92. http://dx.doi.org/10.1017/s0031182013000814.
Testo completoChen, Li, Fanyi Zhong e Jiangjiang Zhu. "Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches". Metabolites 10, n. 9 (27 agosto 2020): 348. http://dx.doi.org/10.3390/metabo10090348.
Testo completoRosen Vollmar, Ana K., Nicholas J. W. Rattray, Yuping Cai, Álvaro J. Santos-Neto, Nicole C. Deziel, Anne Marie Z. Jukic e Caroline H. Johnson. "Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches". Metabolites 9, n. 10 (21 settembre 2019): 198. http://dx.doi.org/10.3390/metabo9100198.
Testo completoTurck, Christoph W., Tytus D. Mak, Maryam Goudarzi, Reza M. Salek e Amrita K. Cheema. "The ABRF Metabolomics Research Group 2016 Exploratory Study: Investigation of Data Analysis Methods for Untargeted Metabolomics". Metabolites 10, n. 4 (27 marzo 2020): 128. http://dx.doi.org/10.3390/metabo10040128.
Testo completoAlvarez, Sophie, e Michael J. Naldrett. "Mass spectrometry based untargeted metabolomics for plant systems biology". Emerging Topics in Life Sciences 5, n. 2 (11 marzo 2021): 189–201. http://dx.doi.org/10.1042/etls20200271.
Testo completoSzeremeta, Michal, Karolina Pietrowska, Anna Niemcunowicz-Janica, Adam Kretowski e Michal Ciborowski. "Applications of Metabolomics in Forensic Toxicology and Forensic Medicine". International Journal of Molecular Sciences 22, n. 6 (16 marzo 2021): 3010. http://dx.doi.org/10.3390/ijms22063010.
Testo completoBalashova, E. E., O. P. Trifonova, D. L. Maslov, S. R. Lichtenberg, P. G. Lokhov e A. I. Archakov. "Metabolome profiling in the study of aging processes". Biomeditsinskaya Khimiya 68, n. 5 (2022): 321–38. http://dx.doi.org/10.18097/pbmc20226805321.
Testo completoChanukuppa, Venkatesh, Tushar H. More, Khushman Taunk, Ravindra Taware, Tathagata Chatterjee, Sanjeevan Sharma e Srikanth Rapole. "Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study". RSC Advances 9, n. 51 (2019): 29522–32. http://dx.doi.org/10.1039/c9ra04458b.
Testo completoMadrid-Gambin, Francisco, Sergio Oller-Moreno, Luis Fernandez, Simona Bartova, Maria Pilar Giner, Christopher Joyce, Francesco Ferraro, Ivan Montoliu, Sofia Moco e Santiago Marco. "AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics". Bioinformatics 36, n. 9 (13 gennaio 2020): 2943–45. http://dx.doi.org/10.1093/bioinformatics/btaa022.
Testo completoTesi sul tema "Untargeted Metabolomics approaches"
Torres, Gené Sònia. "Advances on thirdhand smoke using targeted and untargeted approaches". Doctoral thesis, Universitat Rovira i Virgili, 2021. http://hdl.handle.net/10803/672209.
Testo completoEl humo de tabaco residual (thirdhand smoke en inglés, THS) es una vía de exposición a compuestos tóxicos del humo del tabaco poco estudiada hasta la fecha. El THS se produce por la deposición de parBculas y gases en superficies y polvo, dónde se pueden reemiEr y/o reaccionar produciendo nuevos compuestos tóxicos, algunos de ellos carcinógenos. A pesar de las crecientes evidencias, los riesgos inherentes a la exposición a THS aún no se han descrito por completo. El objeEvo principal de esta tesis es avanzar en la caracterización química del THS y de los efectos para la salud derivados de esta exposición mediante la aplicación de métodos analíEcos dirigidos y no dirigidos. Esta tesis presenta el desarrollo de un nuevo método analíEco para determinar simultáneamente tóxicos del tabaco en polvo domésEco mediante cromatograMa líquida (UHPLC). En esta tesis, también se ha desarrollado un método de análisis no dirigido basado en la adquisición de muestras por UHPLC acoplada a espectrometría de masas de alta resolución (HR-MS), con la aplicación de estrategias avanzadas de procesamiento de datos, la priorización estadísEca de iones relevantes y una nueva estrategia para la anotación de compuestos. La combinación de estos dos métodos proporcionó por primera vez la anotación de docenas de tóxicos relacionados con la contaminación por THS adheridos al polvo domésEco.Respecto a los efectos sobre la salud, presentamos el primer estudio metabolómico no dirigido en hígado de ratones expuestos a THS. La aplicación de las técnicas UHPLC-HRMS y resonancia magnéEca nuclear (RMN) permiEó idenEficar docenas de metabolitos hepáEcos alterados, mientras que las imágenes de espectrometría de masas (MSI) mostraron la distribución espacial diferencial de lípidos en hígado inducida por THS. Estos resultados confirman los peligros de la exposición a THS y el papel clave de nuevos enfoques metodológicos en la invesEgación en salud ambiental.
Thirdhand tobacco smoke (THS) is a novel and poorly understood pathway of tobacco exposure produced by the deposi=on and ageing of tobacco smoke par=cles and toxicants in surfaces and dust. This aged tobacco smoke could reemit into the air or react with other atmospheric chemicals to yield new toxicants, including carcinogens and becoming increasingly toxic with age. Although growing evidences of THS hazards, its chemical characteriza=on and the related health effects remain to be fully elucidated. Hence, this thesis aims to advance on the current knowledge on THS chemical characteriza=on and on the health effects derived from THS exposure by applying novel targeted and untargeted approaches. To advance on THS chemical characteriza=on, we have developed an efficient, quick and robust analy=cal method for simultaneously determining tobacco-specific compounds in household dust by ultra-highperformance liquid-chromatography coupled to tandem mass spectrometry (UHPLC-MSMS). We applied this target method in combina=on with untargeted strategies for a comprehensive characteriza=on of THS toxicants aNached to household dust. The developed untargeted workflow combines the sample acquisi=on by UHPLC coupled to high-resolu=on mass spectrometry (HR-MS) with the applica=on of advanced data processing strategies, the sta=s=cal priori=za=on of relevant features and a novel strategy for compound annota=on. The combina=on of these two approaches provided for the first =me the annota=on of dozens of toxicants related to THS contamina=on. To advance on the health effects, this thesis presents the first mul=plaQorm untargeted metabolomics study to unravel the molecular altera=ons of liver from mice exposed to THS. UHPLC-HRMS and nuclear magne=c resonance (NMR) revealed dozens of hepa=c metabolites altered in THS-exposed mice whilst mass spectrometry imaging (MSI) showed the differen=al spa=al distribu=on of lipids induced by THS. The results presented here confirm the hazards of THS exposure and the key role of combined untargeted and targeted methods in environmental health research.
Espinoza, Christian. "Approche métabolomique non-ciblée pour révéler les réponses métaboliques des prunus à l'infection par le PPV, conduisant au développement d'un outil de détection innovant pour la détection précoce de la maladie de la sharka et la sauvegarde des vergers en Occitanie". Thesis, Perpignan, 2022. http://www.theses.fr/2022PERP0018.
Testo completoSharka disease, caused by Plum pox virus (PPV), is responsible for significant economic losses in Prunus. However, no preventive or curative treatments are currently available and only a few sources of natural resistance have been found. In France, a prophylactic approach has been adopted in an attempt to limit the spread of the PPV, which is essentially based on the rapid detection and removal of infected trees. However, certain technical and economic limitations do not allow the early andeffective detection of PPV on a large scale by conventional methods. The department of Pyrénées Orientales (France) is the most affected by this disease (85% of infections). These issues motivated the creation of the Antishark project, which is the result of a collaboration between AkiNaO, the University of Perpignan Via Domitia, FDGDON66 and local producers. The objective of the project was to develop an innovative method of early detection, targeting the metabolic responses of Prunuspersica at an early stage of the infection. Consequently, two studies under monitored conditions using an untargeted metabolomics approach (UHPLC-HRMS) were carried out. This approach is a promising tool to reveal the metabolic interactions between PPV and its host. In a first study, the global metabolic response to PPV-infection (Dideron and Marcus strains), including symptomatic and asymptomatic leaves, allowed the discrimination of metabolic profiles from PPV-infected and healthy leaves. Although there was a common response between the two strains, metabolic differences were also revealed, notably highlighting strain-specific metabolic alterations. In fact, this novel result could eventually lead to the possibility of identifying the viral strain(s) responsible for the infection. Furthermore, it was possible to discriminate PPV-infected plants (symptomatic and asymptomatic leaves) from healthy plants and from plants infected by another plant pathogenic virus. These observations suggest the existence of a potential specific response to the sharka disease. Based on all these findings, the hypothesis that asymptomatic PPVinfected trees could be detected through virus-induced metabolic alterations is supported.Furthermore, the metabolic responses collected from asymptomatic leaves could be considered as early responses to PPV-infection, i.e., before the appearance of symptoms. In a second step, early metabolic alterations, before the appearance of sharka symptoms, were confirmed by a kinetic study, despite negative molecular tests (RT-qPCR). Our results indicate that early detection of PPVinfected plants by targeting metabolic responses in Prunus persica was a promising strategy. Finally,statistical correlations between the two studies were found. Although the cultivars showed significantly different metabolic profiles, some discriminant features were common between the different cultivars tested (GF-305, yellow nectarine, yellow peach) and also between the different stages of the virus infection (symptomatic and asymptomatic). Nevertheless, a co-infection of PPV and powdery mildew observed during the kinetic experiment under monitored conditions could alter the impact of PPV-infection. Consequently, a new kinetic study without co-infection, is ongoing to confirm or refute these first observations. In addition, the identification of biomarkers related to the sharka disease, also in progress, would provide a betterunderstanding of the metabolic interactions between peach and PPV. Finally, other experiments under natural conditions are underway to evaluate the robustness of our potential biomarkers
Teegarden, Matthew D. "Understanding the stability, biological impact, and exposure markers of black raspberries and strawberries using an untargeted metabolomics approach". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1522335050171997.
Testo completoRebelo, João Sebastião Catarino. "Development of metabolomics approach to study Alzheimer’s disease biomarkers : liquid and gas chromatography in metabolomics". Master's thesis, 2014. http://hdl.handle.net/10451/38740.
Testo completoMetabolomics is a growing field of analytical science. Because of developments in instrumentation and enhancement of data processing, untargeted approaches are being used to their best potential yet, as tools mainly in the discovery and monitoring of biomarkers. Alzheimer’s disease (AD) is a major cause of dementia and general health decline in most developed countries. The onset for the disease is silent but development of a method of detection in its early phase is likely to yield better results in its treatment. In this project, a new superficially-porous particle column (SPP) is tested for an LC-MS study to define a global metabolic profile that can be used to identify biomarkers for AD. In parallel, a classic targeted GC-MS method is developed to track 2,4-dihydroxybutyric acid in biological samples and ascertain the viability of its study as a biomarker candidate.
A metabolómica é um ramo em crescimento da química analítica. Devido aos desenvolvimentos na instrumentação e a uma melhoria no processamento de dados, abordagens untargeted estão a ser usadas no seu maior potencial até hoje como ferramentas principalmente para a descoberta e monitorização de biomarcadores. A Doença de Alzheimer (AD) é uma causa eminente de demência e declínio da saúde em geral, na maioria dos países desenvolvidos. A instalação da doença é silenciosa mas o desenvolvimento de um método de deteção na sua fase inicial é provável que gere melhores resultados no seu tratamento. Neste projeto, uma coluna de partículas superficialmente-porosas (SPP) é testada para um estudo de LC-MS que pretende definir um perfil metabólico geral que possa ser usado para identificar biomarcadores para AD. Em paralelo, um método clássico targeted de GC-MS será desenvolvido para detetar o ácido 2,4-dihidroxibutirico em amostras biológicas e verificar a viabilidade do seu estudo como um candidato a biomarcador.
Capitoli di libri sul tema "Untargeted Metabolomics approaches"
Verma, Anita, Arunangshu Das e Chinmay K. Mukhopadhyay. "An Introduction to Computational Pipelines for Analyzing Untargeted Metabolomics Data for Leishmaniasis". In Integrated Omics Approaches to Infectious Diseases, 375–402. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0691-5_21.
Testo completoBourdon, Allen K., e Brooke N. Dulka. "Untargeted Metabolomics to Interpret the Effects of Social Defeat: Integrating Chemistry and Behavioral Approaches in Neuroscience". In Neuromethods, 61–67. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0864-7_5.
Testo completoCheng, Qian, e F. Peter Guengerich. "Identification of Endogenous Substrates of Orphan Cytochrome P450 Enzymes Through the Use of Untargeted Metabolomics Approaches". In Methods in Molecular Biology, 71–77. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-321-3_6.
Testo completoTroisi, Jacopo, Sean M. Richards, Giovanni Scala e Annamaria Landolfi. "Approaches in untargeted metabolomics". In Metabolomics Perspectives, 237–62. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-85062-9.00007-6.
Testo completoLelli, Veronica, Antonio Belardo e Anna Maria Timperio. "From Targeted Quantification to Untargeted Metabolomics". In Metabolomics - Methodology and Applications in Medical Sciences and Life Sciences. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96852.
Testo completoAtti di convegni sul tema "Untargeted Metabolomics approaches"
Manach, Claudine, Natalia Vázquez-Manjarrez, Christopher Weinert, Marynka Ulaszewska, Mélanie Pétéra, Carina Mack, Sabine Kulling et al. "Applying an untargeted metabolomics approach using two complementary platforms for the discovery and validation of banana intake biomarkers". In 3rd International Electronic Conference on Metabolomics. Basel, Switzerland: MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05849.
Testo completoLaiakis, Evagelia C., Evan L. Pannkuk, Siddheshwar Chauthe, Yi-Wen Wang, Ming Lian, Tytus D. Mak, Christopher A. Barker, Giuseppe Astarita e Albert J. Fornace. "Abstract 2506: Untargeted and targeted multiplatform metabolomic and lipidomic approaches for monitoring biological effects in serum from total body irradiated humans". In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-2506.
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