Academic literature on the topic 'Untargeted Metabolomics approaches'

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Journal articles on the topic "Untargeted Metabolomics approaches"

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Zhou, Jinna, Donghai Hou, Weiqiu Zou, et al. "Comparison of Widely Targeted Metabolomics and Untargeted Metabolomics of Wild Ophiocordyceps Sinensis." Molecules 27, no. 11 (2022): 3645. http://dx.doi.org/10.3390/molecules27113645.

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The authors of this paper conducted a comparative metabolomic analysis of Ophiocordyceps sinensis (OS), providing the metabolic profiles of the stroma (OSBSz) and sclerotia (OSBSh) of OS by widely targeted metabolomics and untargeted metabolomics. The results showed that 778 and 1449 metabolites were identified by the widely targeted metabolomics and untargeted metabolomics approaches, respectively. The metabolites in OSBSz and OSBSh are significantly differentiated; 71 and 96 differentially expressed metabolites were identified by the widely targeted metabolomics and untargeted metabolomics a
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CREEK, DARREN J., and MICHAEL P. BARRETT. "Determination of antiprotozoal drug mechanisms by metabolomics approaches." Parasitology 141, no. 1 (2013): 83–92. http://dx.doi.org/10.1017/s0031182013000814.

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SUMMARYThe discovery, development and optimal utilization of pharmaceuticals can be greatly enhanced by knowledge of their modes of action. However, many drugs currently on the market act by unknown mechanisms. Untargeted metabolomics offers the potential to discover modes of action for drugs that perturb cellular metabolism. Development of high resolution LC-MS methods and improved data analysis software now allows rapid detection of drug-induced changes to cellular metabolism in an untargeted manner. Several studies have demonstrated the ability of untargeted metabolomics to provide unbiased
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Chen, Li, Fanyi Zhong, and Jiangjiang Zhu. "Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches." Metabolites 10, no. 9 (2020): 348. http://dx.doi.org/10.3390/metabo10090348.

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This mini-review aims to discuss the development and applications of mass spectrometry (MS)-based hybrid approaches in metabolomics. Several recently developed hybrid approaches are introduced. Then, the overall workflow, frequently used instruments, data handling strategies, and applications are compared and their pros and cons are summarized. Overall, the improved repeatability and quantitative capability in large-scale MS-based metabolomics studies are demonstrated, in comparison to either targeted or untargeted metabolomics approaches alone. In summary, we expect this review to serve as a
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Rosen Vollmar, Ana K., Nicholas J. W. Rattray, Yuping Cai, et al. "Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches." Metabolites 9, no. 10 (2019): 198. http://dx.doi.org/10.3390/metabo9100198.

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Metabolomics studies of the early-life exposome often use maternal urine specimens to investigate critical developmental windows, including the periconceptional period and early pregnancy. During these windows changes in kidney function can impact urine concentration. This makes accounting for differential urinary dilution across samples challenging. Because there is no consensus on the ideal normalization approach for urinary metabolomics data, this study’s objective was to determine the optimal post-analytical normalization approach for untargeted metabolomics analysis from a periconceptiona
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Turck, Christoph W., Tytus D. Mak, Maryam Goudarzi, Reza M. Salek, and Amrita K. Cheema. "The ABRF Metabolomics Research Group 2016 Exploratory Study: Investigation of Data Analysis Methods for Untargeted Metabolomics." Metabolites 10, no. 4 (2020): 128. http://dx.doi.org/10.3390/metabo10040128.

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Lack of standardized applications of bioinformatics and statistical approaches for pre- and postprocessing of global metabolomic profiling data sets collected using high-resolution mass spectrometry platforms remains an inadequately addressed issue in the field. Several publications now recognize that data analysis outcome variability is caused by different data treatment approaches. Yet, there is a lack of interlaboratory reproducibility studies that have looked at the contribution of data analysis techniques toward variability/overlap of results. The goal of our study was to identify the con
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Alvarez, Sophie, and Michael J. Naldrett. "Mass spectrometry based untargeted metabolomics for plant systems biology." Emerging Topics in Life Sciences 5, no. 2 (2021): 189–201. http://dx.doi.org/10.1042/etls20200271.

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Untargeted metabolomics enables the identification of key changes to standard pathways, but also aids in revealing other important and possibly novel metabolites or pathways for further analysis. Much progress has been made in this field over the past decade and yet plant metabolomics seems to still be an emerging approach because of the high complexity of plant metabolites and the number one challenge of untargeted metabolomics, metabolite identification. This final and critical stage remains the focus of current research. The intention of this review is to give a brief current state of LC–MS
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Szeremeta, Michal, Karolina Pietrowska, Anna Niemcunowicz-Janica, Adam Kretowski, and Michal Ciborowski. "Applications of Metabolomics in Forensic Toxicology and Forensic Medicine." International Journal of Molecular Sciences 22, no. 6 (2021): 3010. http://dx.doi.org/10.3390/ijms22063010.

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Forensic toxicology and forensic medicine are unique among all other medical fields because of their essential legal impact, especially in civil and criminal cases. New high-throughput technologies, borrowed from chemistry and physics, have proven that metabolomics, the youngest of the “omics sciences”, could be one of the most powerful tools for monitoring changes in forensic disciplines. Metabolomics is a particular method that allows for the measurement of metabolic changes in a multicellular system using two different approaches: targeted and untargeted. Targeted studies are focused on a k
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Balashova, E. E., O. P. Trifonova, D. L. Maslov, S. R. Lichtenberg, P. G. Lokhov, and A. I. Archakov. "Metabolome profiling in the study of aging processes." Biomeditsinskaya Khimiya 68, no. 5 (2022): 321–38. http://dx.doi.org/10.18097/pbmc20226805321.

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Aging of a living organism is closely related to systemic metabolic changes. But due to the multilevel and network nature of metabolic pathways, it is difficult to understand these connections. Today, this problem is solved using one of the main approaches of metabolomics — untargeted metabolome profiling. The purpose of this publication is to systematize the results of metabolomic studies based on such profiling, both in animal models and in humans.
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Chanukuppa, Venkatesh, Tushar H. More, Khushman Taunk, et al. "Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study." RSC Advances 9, no. 51 (2019): 29522–32. http://dx.doi.org/10.1039/c9ra04458b.

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Madrid-Gambin, Francisco, Sergio Oller-Moreno, Luis Fernandez, et al. "AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics." Bioinformatics 36, no. 9 (2020): 2943–45. http://dx.doi.org/10.1093/bioinformatics/btaa022.

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Abstract Summary Nuclear magnetic resonance (NMR)-based metabolomics is widely used to obtain metabolic fingerprints of biological systems. While targeted workflows require previous knowledge of metabolites, prior to statistical analysis, untargeted approaches remain a challenge. Computational tools dealing with fully untargeted NMR-based metabolomics are still scarce or not user-friendly. Therefore, we developed AlpsNMR (Automated spectraL Processing System for NMR), an R package that provides automated and efficient signal processing for untargeted NMR metabolomics. AlpsNMR includes spectra
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Dissertations / Theses on the topic "Untargeted Metabolomics approaches"

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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.

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El fum de tabac residual (thirdhand smoke en anglès, THS) és una via d'exposició a compostos tòxics de fum tabac poc estudiada fins ara. El THS es produeix per la deposició de parEcules i gasos en superFcies i pols, on es poden reemetre i/o reaccionar produint nous compostos tòxics, alguns d'ells carcinògens. Malgrat les creixents evidències, els riscos inherents a l'exposició a THS encara no s'han descrit completament. L'objecKu principal d'aquesta tesi és avançar en la caracterització química del THS i dels efectes per a la sa
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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.

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La maladie de la sharka, causée par le Plum pox virus (PPV), est responsable d’importantes pertes économiques chez les Prunus. Toutefois, aucun traitement préventif ou curatif n’est à ce jour disponible et peu de sources de résistance naturelle ont été retrouvées. En France, une approche prophylactique, qui repose essentiellement sur la détection et l’élimination rapide des arbres infectés, a été adoptée afin de réduire la propagation du virus. Néanmoins, certaines contraintes technico-économiques ne permettent pas la détection précoce et efficace du PPV à grande échelle par des méthodes conve
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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.

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Rebelo, 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.

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Trabalho Final de Mestrado Integrado, Ciências Farmacêuticas, Universidade de Lisboa, Faculdade de Farmácia, 2014<br>Metabolomics 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 y
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Book chapters on the topic "Untargeted Metabolomics approaches"

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Verma, Anita, Arunangshu Das, and Chinmay K. Mukhopadhyay. "An Introduction to Computational Pipelines for Analyzing Untargeted Metabolomics Data for Leishmaniasis." In Integrated Omics Approaches to Infectious Diseases. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0691-5_21.

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Bourdon, Allen K., and Brooke N. Dulka. "Untargeted Metabolomics to Interpret the Effects of Social Defeat: Integrating Chemistry and Behavioral Approaches in Neuroscience." In Neuromethods. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0864-7_5.

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Cheng, Qian, and F. Peter Guengerich. "Identification of Endogenous Substrates of Orphan Cytochrome P450 Enzymes Through the Use of Untargeted Metabolomics Approaches." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-321-3_6.

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Troisi, Jacopo, Sean M. Richards, Giovanni Scala, and Annamaria Landolfi. "Approaches in untargeted metabolomics." In Metabolomics Perspectives. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-85062-9.00007-6.

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Lelli, Veronica, Antonio Belardo, and 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.

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Metabolomics is an emerging and rapidly evolving technology tool, which involves quantitative and qualitative metabolite assessments science. It offers tremendous promise for different applications in various fields such as medical, environmental, nutrition, and agricultural sciences. Metabolomic approach is based on global identification of a high number of metabolites present in a biological fluid. This allows to characterize the metabolic profile of a given condition and to identify which metabolites or metabolite patterns may be useful in the discrimination between different groups. The use of one mass spectrometry (MS) platform from targeted quantification to untargeted metabolomics will make more efficient workflows in many fields and should allow projects to be more easily undertaken and realized. Metabolomics can be divided into non-targeted and targeted. The first one can analyze metabolites derived from the organisms comprehensively and systematically, so it is an unbiased metabolomics analysis that can discover new biomarkers. Targeted metabolomics, on the other hand, is the study and analysis of specific metabolites. Both have their own advantages and disadvantages, and are often used in combination for discovery and accurate weight determination of differential metabolites, and allow in-depth research and analysis of subsequent metabolic molecular markers. Targeted and non-targeted metabolomics are involved in food identification, disease research, animal model verification, biomarker discovery, disease diagnosis, drug development, drug screening, drug evaluation, clinical plant metabolism and microbial metabolism research. The aim of this chapter is to highlight the versatility of metabolomic analysis due to both the enormous variety of samples and the no strict barriers between quantitative and qualitative analysis. For this purpose, two examples from our group will be considered. Using non-targeted metabolomics in opposite Antarctic cryptoendolytic communities exposed to the sun, we revealed specific adaptations. Instead, through the targeted metabolomics applied to the urine during childbirth, we identified a different distribution of specific metabolites and the metabolic differences allowed us to discriminate between the two phases of labor, highlighting the metabolites most involved in the discrimination. The choice of these two approaches is to highlight that metabolomic analysis can be applied to any sample, even physiologically and metabolomically very distant, as can be microorganisms living on Antarctic rocks and biological fluids such as urine.
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Conference papers on the topic "Untargeted Metabolomics approaches"

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Manach, Claudine, Natalia Vázquez-Manjarrez, Christopher Weinert, 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. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05849.

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Laiakis, Evagelia C., Evan L. Pannkuk, Siddheshwar Chauthe, et al. "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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