Academic literature on the topic 'Metabolomika'
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Journal articles on the topic "Metabolomika"
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Słowikowska, Anna, Beata Toczyłowska, Romuald Cichoń, and Piotr Hendzel. "Metabolomika — chemiczny „odcisk palca” i istotny element medycyny spersonalizowanej." Folia Cardiologica 11, no. 4 (2016): 353–58. http://dx.doi.org/10.5603/fc.2016.0060.
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Benito, Sandra, Nora Unceta, Alicia Sánchez-Ortega, Alberto Gómez-Caballero, M. Aránzazu Goicolea, and Ramón J. Barrio. "Ikerketa metabolomikoak haurretan gertatzen den giltzurrun gutxiegitasun kronikoaren diagnostikorako biomarkatzaile berrien identifikazioan." EKAIA Euskal Herriko Unibertsitateko Zientzia eta Teknologia Aldizkaria, no. 37 (May 1, 2020): 65–81. http://dx.doi.org/10.1387/ekaia.20859.
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Giltzurrun gutxiegitasun kronikoaren (GGK) ebaluazioa egiten da iragazpen glomerularraren tasaren (IGT) bidez, eta kalkulatzen da serumeko kreatininaren kontzentrazioan oinarritutako ekuazioen bidez. Hala ere, serumeko kreatinina kontzentrazioa hainbat faktoreren arabera alda daiteke, eta horrek GGKaren diagnostikoa arriskuan jar dezake, bereziki gaixotasunaren fase goiztiarrenetan. Haurretan GGKak, arazo metaboliko eta kardiobaskularrez gain, garapen-arazoak eta malnutrizioa eragiten ditu. Haur osasuntsuekin alderatuta, zailtasun horiek 30 aldiz handitzen dute heriotza-tasa GGkaren fase aurreratuenetan dauden haurretan. oro har, gaixotasun jakin baterako biomarkatzaileen presentziak diagnostiko goiztiarragoa eta erantzun hobea ahalbidetzen dute. Hori dela eta, GGK pairatzen duten helduetan ikerketa integrala egin da biomarkatzaile berriak topatzeko, baina populazio pediatrikoan ikerlanak oraindik oso mugatuak dira, eta biomarkatzaile berrien beharra dago. Helburu horrekin, haur osasuntsuen eta GGK pairatzen duten haur gaixoen arteko profil metabolikoen konparazioa egin da, metabolomika bideratu zein ez-bideratuak aplikatuz. Ikerketaren ondorioz, GGK pediatrikoaren detekzio goiztiarrean erabilgarri izan daitezkeen zazpi metabolito berri aurkitu dira, kreatinina biomarkatzaile klasikoarekin batera. Metabolito horiek, kreatininarekin batera erabiliz, kreatinina soilaren erabilerarekin ez bezala, haur gaixoak eta osasuntsuak bereiztea ahalbidetzen dute.
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Lankadurai, Brian P., Edward G. Nagato, and Myrna J. Simpson. "Environmental metabolomics: an emerging approach to study organism responses to environmental stressors." Environmental Reviews 21, no. 3 (2013): 180–205. http://dx.doi.org/10.1139/er-2013-0011.
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Metabolomics is the analysis of endogenous and exogenous low molecular mass metabolites within a cell, tissue, or biofluid of an organism in response to an external stressor. The sub-discipline of environmental metabolomics is the application of metabolomic techniques to analyze the interactions of organisms with their environment. There has been a rapid growth in environmental metabolomics over the past decade. This growth can be attributed to the comprehensive and rapid nature of nontargeted metabolomics and the ability to generate hypotheses involving complex environmental stressors, especially when the mode of action is unknown. Using a wide variety of model organisms, metabolomic studies have detected stress from abiotic factors such as xenobiotic exposure and temperature shifts as well as biotic stressors such as herbivory and competition. Nuclear magnetic resonance (NMR)-based metabolomics has been the dominant analytical platform used for environmental metabolomics studies, owing to its nonselectivity and ease of sample preparation. However, the number of mass spectrometry (MS)-based metabolomic studies is also increasing rapidly, owing to its high sensitivity for the detection of trace levels of metabolites. In this review, we provide an overview of the general experimental design, extraction methods, analytical instrumentation, and statistical methods used in environmental metabolomics. We then highlight some of the recent studies that have used metabolomics to elucidate hitherto unknown biochemical modes of actions of various environmental stressors to both terrestrial and aquatic organisms, as well as identify potential metabolite shifts as early bioindicators of these stressors. Through this, we emphasize the immense potential and versatility of environmental metabolomics as a routine tool for characterizing the responses of organisms to numerous types of environmental stressors.
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Hao, Dan, Jiangsong Bai, Jianyong Du, et al. "Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle." Metabolites 11, no. 11 (2021): 753. http://dx.doi.org/10.3390/metabo11110753.
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Metabolomics has been applied to measure the dynamic metabolic responses, to understand the systematic biological networks, to reveal the potential genetic architecture, etc., for human diseases and livestock traits. For example, the current published results include the detected relevant candidate metabolites, identified metabolic pathways, potential systematic networks, etc., for different cattle traits that can be applied for further metabolomic and integrated omics studies. Therefore, summarizing the applications of metabolomics for economic traits is required in cattle. We here provide a comprehensive review about metabolomic analysis and its integration with other omics in five aspects: (1) characterization of the metabolomic profile of cattle; (2) metabolomic applications in cattle; (3) integrated metabolomic analysis with other omics; (4) methods and tools in metabolomic analysis; and (5) further potentialities. The review aims to investigate the existing metabolomic studies by highlighting the results in cattle, integrated with other omics studies, to understand the metabolic mechanisms underlying the economic traits and to provide useful information for further research and practical breeding programs in cattle.
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Brennan, Lorraine. "Session 2: Personalised nutrition Metabolomic applications in nutritional research." Proceedings of the Nutrition Society 67, no. 4 (2008): 404–8. http://dx.doi.org/10.1017/s0029665108008719.
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Metabolomics aims to profile all small molecules that are present in biological samples such as biofluids, tissue extracts and culture media. Combining the data obtained with multivariate data analysis tools allows the exploration of changes induced by a biological treatment or changes resulting from phenotype. Recently, there has been a large increase in interest in using metabolomics in nutritional research and because of the intimate relationship between nutrients and metabolism there exists great potential for the use of metabolomics within nutritional research. However, for metabolomics to reach its full potential within this field it is also important to be realistic about the challenges that are faced. Examples of such challenges include the necessity to have a clear understanding of the causes of variation in human metabolomic profiles, the effects of the gut microflora on the metabolomic profile and the interaction of the gut microflora with the host's metabolism. A further challenge that is particularly relevant for human nutritional research is the difficulty associated with biological interpretation of the data. Notwithstanding these and other challenges, several examples of successful applications to nutritional research exist. The link between the human metabolic phenotype, as characterised by metabolomic profiles, and dietary preferences proposes the potential role of metabolomics in personalised nutrition.
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Di Donato, Samantha, Alessia Vignoli, Chiara Biagioni, et al. "A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting." Cancers 13, no. 11 (2021): 2762. http://dx.doi.org/10.3390/cancers13112762.
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Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve the identification of patients with residual micrometastases after surgery. In this retrospective study, we hypothesized that metabolomic fingerprinting could improve risk stratification in patients with eCRC. Serum samples obtained after surgery from 94 elderly patients with eCRC (65 relapse free and 29 relapsed, after 5-years median follow up), and from 75 elderly patients with metastatic colorectal cancer (mCRC) obtained before a new line of chemotherapy, were retrospectively analyzed via proton nuclear magnetic resonance spectroscopy. The prognostic role of metabolomics in patients with eCRC was assessed using Kaplan–Meier curves. PCA-CA-kNN could discriminate the metabolomic fingerprint of patients with relapse-free eCRC and mCRC (70.0% accuracy using NOESY spectra). This model was used to classify the samples of patients with relapsed eCRC: 69% of eCRC patients with relapse were predicted as metastatic. The metabolomic classification was strongly associated with prognosis (p-value 0.0005, HR 3.64), independently of tumor stage. In conclusion, metabolomics could be an innovative tool to refine risk stratification in elderly patients with eCRC. Based on these results, a prospective trial aimed at improving risk stratification by metabolomic fingerprinting (LIBIMET) is ongoing.
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Marchand, Calena, Farshad Farshidfar, Jodi Rattner, and Oliver Bathe. "A Framework for Development of Useful Metabolomic Biomarkers and Their Effective Knowledge Translation." Metabolites 8, no. 4 (2018): 59. http://dx.doi.org/10.3390/metabo8040059.
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Despite the significant advantages of metabolomic biomarkers, no diagnostic tests based on metabolomics have been introduced to clinical use. There are many reasons for this, centered around substantial obstacles in developing clinically useful metabolomic biomarkers. Most significant is the need for interdisciplinary teams with expertise in metabolomics, analysis of complex clinical and metabolomic data, and clinical care. Importantly, the clinical need must precede biomarker discovery, and the experimental design for discovery and validation must reflect the purpose of the biomarker. Standard operating procedures for procuring and handling samples must be developed from the beginning, to ensure experimental integrity. Assay design is another challenge, as there is not much precedent informing this. Another obstacle is that it is not yet clear how to protect any intellectual property related to metabolomic biomarkers. Viewing a metabolomic biomarker as a natural phenomenon would inhibit patent protection and potentially stifle commercial interest. However, demonstrating that a metabolomic biomarker is actually a derivative of a natural phenomenon that requires innovation would enhance investment in this field. Finally, effective knowledge translation strategies must be implemented, which will require engagement with end users (clinicians and lab physicians), patient advocate groups, policy makers, and payer organizations. Addressing each of these issues comprises the framework for introducing a metabolomic biomarker to practice.
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Satori, Chad P., Marzieh Ramezani, Joseph S. Koopmeiners, et al. "Checkpoints for preliminary identification of small molecules found enriched in autophagosomes and activated mast cell secretions analyzed by comparative UPLC/MSe." Analytical Methods 9, no. 1 (2017): 46–54. http://dx.doi.org/10.1039/c6ay02500e.
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Trongtrakul, Konlawij, Chanisa Thonusin, Chaicharn Pothirat, Siriporn C. Chattipakorn, and Nipon Chattipakorn. "Past Experiences for Future Applications of Metabolomics in Critically Ill Patients with Sepsis and Septic Shocks." Metabolites 12, no. 1 (2021): 1. http://dx.doi.org/10.3390/metabo12010001.
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A disruption of several metabolic pathways in critically ill patients with sepsis indicates that metabolomics might be used as a more precise tool for sepsis and septic shock when compared with the conventional biomarkers. This article provides information regarding metabolomics studies in sepsis and septic shock patients. It has been shown that a variety of metabolomic pathways are altered in sepsis and septic shock, including amino acid metabolism, fatty acid oxidation, phospholipid metabolism, glycolysis, and tricarboxylic acid cycle. Based upon this comprehensive review, here, we demonstrate that metabolomics is about to change the world of sepsis biomarkers, not only for its utilization in sepsis diagnosis, but also for prognosticating and monitoring the therapeutic response. Additionally, the future direction regarding the establishment of studies integrating metabolomics with other molecular modalities and studies identifying the relationships between metabolomic profiles and clinical characteristics to address clinical application are discussed in this article. All of the information from this review indicates the important impact of metabolomics as a tool for diagnosis, monitoring therapeutic response, and prognostic assessment of sepsis and septic shock. These findings also encourage further clinical investigations to warrant its use in routine clinical settings.
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Astafyeva, O. V., Z. V. Zharkova, A. L. Yasenyavskaya, et al. "Overview of metabolomic markers used for diagnosing cardiovascular diseases." Сибирский научный медицинский журнал 42, no. 1 (2022): 13–29. http://dx.doi.org/10.18699/ssmj20220102.
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At present, metabolomics is an intensively developing approach to the specific diagnosis of cardiovascular diseases. Metabolic analysis allows the study of complete metabolomic profiles and their deviations resulting from changes, for example, gene and RNA expression, protein activity, or environmental factors. Analysis of the metabolomic blood profile helps in solving a large number of scientific and clinical problems, one of which is the search for markers of diseases, in particular, cardiovascular diseases (CVD). Aim of the study was to investigate metabolomic markers used for the diagnosis of cardiovascular diseases on the basis of literature data. Material and methods. The literature data was analyzed for key words: cardiovascular diseases, metabolomics, metabolic profile, metabolomic markers in da- tabases PubMed, Scopus, Web of Science, CyberLeninka, PatentDB, Science Direct Open Access, eLibrary. Results. Analysis of literature data and patent search confirms the high importance of metabolomic markers in the diagnosis of CVD. In the patent literature, BNP/NT-proBNP is most common used as a metabolic marker of CVD (11.27 %). The use of CRP (8.99 %) and troponin (8.49 %) is also common. PICP (0.02 %), sVCAM-1 (0.09 %), stimulating growth factor ST-2 (0.12 %) and thrombomodulin (0.12 %) as metabolic markers of CVD. Conclusions. Against the backdrop of analytical methods, metabolomics is the most important diagnostic area. At the same time, it should be noted that by combining the results of the analysis of metabolic studies with others, for example, genomic and proteomic, one can get a complete picture of the pathogenesis of diseases, assess the risk of complications, and also determine the effectiveness of the treatment.
Dissertations / Theses on the topic "Metabolomika"
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Buys, Christa. "The role of the ESX-3 gene cluster and iron on mycobacterial viability / C. Buys." Thesis, North-West University, 2013. http://hdl.handle.net/10394/9498.
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According to the World Health Organization (WHO), M. tuberculosis, the causative agent of TB, accounts for approximately 1.7 million deaths annually. Further contributing causes to the worldwide TB incidence, is the widespread unavailability and ineffectiveness of TB vaccines, time consuming diagnostic methods and unsuccessful treatment approaches. Research for better characterising mycobacteria in general, or other Mycobacterium species, may help us to better understand M. tuberculosis and TB disease mechanisms, which will in turn lower the future TB disease prevalence, as this may lead to the development of better treatments, diagnostics and vaccines. Mycobacteria use various secretion pathways, including the ESX- or type VII secretion (T7S) system, to ensure transport across the complex cell wall. The genome of M. tuberculosis has five copies of a gene cluster known as the ESX gene cluster region, which is associated with virulence and viability of mycobacteria. The ESX-3 gene cluster is thought to be essential for growth of M. tuberculosis and proposed to be involved in iron / zinc homeostasis. Mycobacteria synthesise siderophores, which are proposed to be involved in the uptake of iron over their cell wall. M. tuberculosis are known to produce two types of siderophores, namely: carboxymycobactins and mycobactins. Loots and colleagues, however illustrated, that ESX-3 knockouts, show signs of iron overload, despite the absence of the mycobactins induced by knocking out the ESX-3 gene cluster. It was hypothesised, that this overload occurs due to an increase in exochelin synthesis, another iron uptake protein not associated with ESX-3, overcompensating for the perceived iron depletion in the knockout organism. A Metabolomics research approach was subsequently used in this study, to generate new information in order to better characterise the role of iron on the metabolism of these organisms, and additionally confirm the role of ESX-3 in iron uptake.
In this study, we firstly determined the most optimal extraction conditions for this metabolomics investigation. Two extraction methods were subsequently investigated and compared, considering their repeatability and their respective capacities to extract those compounds which best differentiate the M. smegmatis ESX-3 knockouts and wild-type parent strains. Considering the results generated, the total metabolome method was chosen for further analyses, for the following reasons: 1) it is simpler, 2) faster, 3) showed better repeatability, 4) extracts those compounds best differentiating the compared groups and 5) has been previously described for metabolomics analyses characterising ESX-3 gene functionality, hence potentially allowing us to compare results to that previously generated and published data.
Subsequently, we used the chosen extraction method, followed by GCxGC-TOFMS analysis of the separately cultured M. smegmatis wild-type sample extracts, cultured in normal, low and high iron conditions, to determine the influence of varying iron concentrations on the metabolome of this organism, by metabolomics comparisons of these groups. Following this, an identical research approach was used to compare the metabolome of a M. smegmatis ESX-3 knock-out strain, to that of a M. smegmatis wild type parent strain, both cultured in normal / standardised iron concentrations. Considering the results generated when comparing the metabolome of a M. smegmatis ESX-3 knock-out strain to that of a M. smegmatis wild type parent strain, the altered metabolome of the M. smegmatis ESX-3 knockouts correlated well to that of the M. smegmatis wild type cultured in elevated iron growth conditions. This suggests ESX-3 is involved in iron uptake, and that knocking out the ESX-3 gene cluster of M. smegmatis does in fact result in a metabolome profile suggesting iron overload, as was proposed by Loots et al (2012), most probably due the exochelins overcompensating for the absence of mycobactins, in M. smegmatis ESX-3 knockouts.<br>MSc (Biochemistry) North-West University, Potchefstroom Campus 2013.
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Kamfer, Fanie. "Characterising tuberculosis treatment success and failure using metabolomics / Fanie Kamfer." Thesis, North-West University, 2013. http://hdl.handle.net/10394/10203.
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Tuberculosis (TB) is one of the deadliest infectious diseases of our time, with 1.4 million
deaths globally, recorded in 2010 (3800 deaths a day) by the World Health Organization
(WHO). Currently, South Africa ranks third on the 2011 list of 22 high-burden TB countries in
the world and it was estimated that each active-TB person could potentially infect 10–15
people annually. The WHO additionally reported that in the year 2009, 87% of all TB patients
worldwide were successfully treated, with a treatment success rate of 74% reported for
South Africa. Despite this however, non-adherence to anti-TB treatment is still a major
issue, due to it resulting in a global increased prevalence of drug resistant TB and
subsequently TB treatment failure. Treatment failure is thought to be caused by a number of
factors, however, it still remains largely misunderstood. One aspect of this, that isn't clearly
addressed in the literature, is the underlying variation in each patient, resulting in his/her
varying reaction to the drug regimen, and hence it’s varying efficacy from one patient to the
next. Furthermore, little is known about the underlying variation of the host to the primary TB
infection or response to the TB disease state, and how some patients have more effective
mechanisms for eliminating the infection, or recovering from the disease.
Considering this, a metabolomics research study using GC×GC-TOFMS was conducted, in
order to identify potential metabolite markers which may be used to better characterise the
underlining mechanisms associated with poor treatment outcomes (treatment failure).
The first aim was to evaluate the accuracy and efficiency of the methodology used, as well
as to determine the capability and accuracy of the analyst to perform these methods. In
order to evaluate the GCxGC-TOFMS analytical repeatability, one QC sample was extracted
and injected repeatedly (6 times) onto the GC×GC-TOFMS. Similarly, the analyst's
repeatability for performing the organic acid extraction and analyses was also determined,
using 10 identical QC samples, which were extracted and injected separately. CV values
were subsequently calculated from the collected and processed data as a measure of this.
Of all the compounds detected from the 6 QC sample repeats used for GCxGC-TOFMS
repeatability, 95.59% fell below a 50% CV value, and 93,7% of all the compounds analysed
for analyst repeatability had a CV < 50. Subsequently, using the above metabolomics approach, in addition to a wide variety of
univariate and multivariate statistical methods, two patient outcome groups were compared.
A sample group cured from TB after 6 months of treatment was compared vs a sample
group where treatment failed after the 6 month period. Using urine collected from these two
patient groups at various time points, the following metabolomics comparisons where made:
1) at time of diagnosis, before any anti-TB treatment was administrated, 2) during the course
of treatment, in order to determine any variance in these groups due to a varying response
to the anti-TB drugs, 3) over the duration of the entire 6 months treatment regimen, in order
to determine if differences exist between the two groups over time.
A clear natural differentiation between the cured and failed outcome groups were obtained at
time of diagnosis, and a total of 39 metabolites markers were subsequently identified. These
metabolites were classified according to their various origins, and included (1) those
associated with the presence of M. tuberculosis bacteria, (2) those resulting from an altered
host metabolism due to the TB infection, and (3) metabolites of various exogenous origins.
The detailed interpretation of these metabolites suggests that a possible underlying RCD or
some sort of mitochondrial dysfunction may be present in the treatment failure group, which
may also be induced through an external stimulus, such as alcohol consumption. We
hypothesise that this may possibly result in a far greater severity to M. tuberculosis infection
in this group, subsequently causing a reduced capacity for a successful treatment outcome,
also considering the critical role of the mitochondria in the metabolism of anti-TB drugs.
Furthermore, 20 metabolite markers were identified when comparing the two outcome
groups during the treatment phase of this metabolomics investigation. A vast majority of
these 20 metabolites were also identified as markers for time 0 (time of diagnosis).
Additionally, metabolites associated with anti-TB drug induced side effects, were also found
to be comparatively increased in the treatment failure group, indicative of more pronounced
liver damage, accompanied by metabolites characteristic of a MADD metabolite profile, due
to a deficient electron transport flavoprotein, confirming previous experiments done in rats.
These side effects have also previously been implicated as a major contributor of poor
treatment compliance, and ultimately treatment failure.
Lastly, 35 metabolite markers were identified by time dependent statistical analysis and
represented those metabolites best describing the variation between the treatment outcome groups over the entire study duration (from diagnosis, to week 26). This time dependent
statistical analysis identified markers, using an alternative statistical approach, and
confirmed previous findings and added in a better characterisation of treatment failure.
Considering the above, we successfully applied a metabolomics approach for identifying
metabolites which could ultimately aid in the prediction and monitoring of treatment
outcomes. This additionally led to a better understanding and or characterisation of the
phenomenon known as treatment failure, as well as the underlying mechanisms related to
this occurrence.<br>MSc (Biochemistry), North-West University, Potchefstroom Campus, 2013
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Taute, Cornelius Johannes Frans. "Interpretasie van β-oksidasie metaboliet profiele : 'n metabolomika gebaseerde benadering / Cornelius Johannes Frans Taute". Thesis, North-West University, 2005. http://hdl.handle.net/10394/1332.
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Křápková, Monika. "Dynamický model produkce polyhydroxyalkonoátů termofilní bakterií S. thermodepolymerans." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442582.
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Tato diplomová práce se zabývá rekonstrukcí dynamického modelu produkce polyhydroxyalkanoátů (PHA) termofilní bakterií Schlegelella thermodepolymerans. První kapitola poskytuje čtenářům krátký úvod do systémové biologie a matematické teorie grafů. Na ni navazuje druhá kapitola zabývající se různými přístupy v dynamickém modelování, včetně běžně používaných nástrojů pro dynamickou analýzu komplexních systémů. Třetí kapitola pak sleduje další pojmy a možnosti týkající se analýzy modelu. Následující kapitola se zaměřuje na metabolomiku a často používané laboratorní techniky a pátá kapitola je pak věnována polyhydroxyalkanoátům, zejména jejich chemické struktuře a vlastnostem. V kapitole šesté je navržen obecný booleovský model pro produkci PHA termofilními bakteriemi. Kapitola sedmá se poté zaměřuje na zdokonalení modelu se zaměřením na S. thermodepolymerans. Výsledný dynamický model je podroben analýze a výsledky jsou diskutovány.
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Bártová, Adéla. "Analýza těkavých organických látek produkovaných monocyty během sepse." Master's thesis, Vysoké učení technické v Brně. Fakulta chemická, 2019. http://www.nusl.cz/ntk/nusl-401942.
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This thesis is focused on the possibility of analysis of volatile organic compounds produced by monocytes during sepsis. Method of comprehensive two-dimensional gas chromatography with mass spectrometric detection was chosen for this purpose. Content of the first part was the optimization of the method of two-dimensional gas chromatography for the determination of volatile organic compounds. In this part were gradually adjusted parameters of the gas chromatography method to achieve the maximum efficiency. Further were adjusted conditions of samples preparation. Content of the second part was the usage of already optimized method for the analysis of the samples set of monocytes. Samples were subjected to the action of different inhibitors of the immune system and stimulators simulating bacterial or yeast infection. Based on this analysis were identified some compounds, which are produced by monocytes under condition simulating the infection.
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Snežana, Orčić. "Biohemijski i fiziološki parametri stanja medonosne pčele (Apis mellifera L.) tokom letnjeg i zimskog perioda na staništima sa različitim antropogenim uticajem." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2020. https://www.cris.uns.ac.rs/record.jsf?recordId=114897&source=NDLTD&language=en.
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Medonosna pčela (Apis mellifera Linnaeus, 1758) je široko rasprostranjena vrsta iz grupe socijalnih insekata, glavni oprašivač mnogih divljih biljaka i poljoprivrednih kultura. Pored njene primarne uloge u oprašivanju, koristi se i za dobijanje pčelinjih proizvoda, pre svega meda, voska i propolisa, čime se dodatno naglašava njen privredni značaj. Uzimajući u obzir značaj medonosne pčele, a sa druge strane aktuelan problem pada broja kolonija, postoji potreba za razumevanje uzroka i procenu rizika koji leže u osnovi ovog kompleksnog problema. Stoga, istraživanja u ovoj doktorskoj disertaciji obuhvataju praćenje biohemijskih i fizioloških parametara kod medonosne pčele kao pokazatelja stanja pčelinjih zajednica tokom letnjeg i zimskog perioda na staništima sa različitim antropogenim uticajem. U prvoj fazi istraživanja su izvedeni akutni laboratorijski testovi izlaganja medonosne pčele subletalnim dozama pesticida, tiakloprida i klotianidina, a dobijeni rezultati su ukazali na narušenu neurotransmisiju, na izmene u aktivnosti antioksidativnih enzima i redoks statusa u ćeliji, kao i na imunosupresiju. U drugoj fazi istraživanja su analizirane kolonije medonosne pčele sa različitih lokaliteta na području AP Vojvodine, sa primenom stacionarnog i migratornog tipa pčelarenja, tokom letnjeg i zimskog perioda, a dobijeni rezultati su ukazali na značajne razlike u biohemijskom odgovoru medonosne pčele u zavisnosti od starosti pčela, sezone godine i tipa pčelinjaka. Na osnovu rezultata prethodne dve faze istraživanja, izvršen je odabir uzoraka, kao i izbor parametara za treću fazu istraživanja, gde je praćeno stanje medonosne pčele iz stacionalnih pčelinjih zajednica, tokom letnjeg aktivnog perioda, kao i početkom i krajem zimskog perioda mirovanja pčela, sa tri lokaliteta u Republici Srbiji sa različitim stepenom urbanizacije i industrijalizacije: Beograd kao urbano, Susek kao ruralno i Zajača kao industrijsko područje. Dobijeni rezultati su ukazali na značajne razlike u zavisnosti od sezone godine, kao i lokaliteta sa različitim antropogenim uticajem. Zimske pčele, krajem perioda mirovanja u odnosu na početak mirovanja, karakteriše viši nivo antioksidativne zaštite, udružen sa visokim stepenom oksidativnih oštećenja, zatim bolja imunokompetencija, kao i niske energetske rezerve u masnom telu. Sezonskim povećanjem temperatura tokom godine povećava se sadržaj zasićenih, dok se smanjuje udeo nezasićenih masnih kiselina, gde se oleinska 18:1(9) kiselina izdvaja kao dominantna komponenta u ukupnom sadržaju masnih kiselina masnog tela pčela sa sve tri lokacije, tokom sva tri perioda. Niži nivo ukupnih ugljovodonika je još jedna fiziološka karakteristika zimskih pčela. Takođe, zapažene su promene i u neurotransmisiji holinergičkog tipa tokom sezone, sa višim aktivnostima acetilholinesteraze kod pčela krajem zime i tokom leta. Metabolomičkom analizom hemolimfe pčela je identifikovano 125 metabolita, uključenih u 36 metaboličkih puteva, gde se kao biomarkeri od značaja za razlikovanje letnjih i zimskih pčela izdvajaju metaboliti u metabolizmu glicerolipida i aminokiseline glicin, cistein, glutamin, fenilalanin, prolin i lizin. Poređenjem dobijenih rezultata između različitih lokaliteta, pčele iz Beograda se izdvajaju sa nižim nivoom oksidativnog stresa, nižim aktivnostimaacetilholinesteraze, kao i fenol oksidaze i glukoza oksidaze, ključnih enzima u imunom odgovoru pčela. Pčele iz Suseka su se izdvojile sa najvećom masom masnog tela, što ukazuje na dobre nutritivne i energetske rezerve u pčelama tokom zime i leta, dok se Beograd izdvaja sa značajno višim udelom nezasićenih masnih kiselina u masnom telu pčela. Takođe su zabeležene razlike u relativnoj zastupljenosti n-alkana u pčelama sa različitih lokaliteta, te je u Beogradu najzastupljeniji nonakozan (C29), dok je heptakozan (C27) najzastupljeniji u uzorcima pčela iz Suseka i Zajače. Analizom sadržaja metala u pčelama, pergi i medu, zapažamo da svaku sredinu karakteriše specifičan profil zagađenja, kao i da je u medu znatno niža koncentracija svih analiziranih metala. Dobijeni rezultati pružaju dobru osnovu za dalja ispitivanja biološkog odgovora medonosne pčele, u pogledu uticaja faktora okruženja, a time i dalje definisanje odgovarajućih mera zaštite pčelinjih zajednica.<br>The honey bee (Apis mellifera Linnaeus, 1758) is a‚widespread social insect species and the main pollinator of various wild plants and agricultural crops.In addition to its primary role in pollination, the honey bee is also used for obtaining honeybee products, mostly honey, wax, and propolis, with a significant role in the economy. Number of honey bee colonies is declining, thus necessitating the assessment of underlying reasons and risks. Therefore, in this doctoral dissertation, biochemical and physiological parameters in the honey bee were monitored as indicators of the colonies’ condition during the summer and winter period in habitats with different anthropogenic impacts. In the first phase of the research, acute laboratory tests of honey bee exposure to sublethal doses of pesticides (thiacloprid and clothianidin) were performed and the obtained results indicated impaired neurotransmission, changes in the activity of antioxidant enzymes, and redox status in the cell, as well as immunosuppression. In the second phase of the research, honey bee colonies from different localities in the area of AP Vojvodina were analyzed, using the stationary and migratory types of beekeeping, during the summer and winter period, and the obtained results indicated significant differences in the biochemical response of the honey bee depending on the age of the bees, the season of the year, and the type of apiary. Based on the results of the previous two phases of the research, the selection of samples was performed, as well as the selection of parameters for analysis within the third phase of the research, where the condition of honey bees from stationary bee communities was monitored during the summer active period, as well as the beginning and end of winter dormancy of bees, from three localities in the Republic of Serbia with different degrees of urbanization and industrialization: Belgrade as urban, Susek as rural andZajaca as industrial area. The obtained results indicated significant differences depending on the season of the year, as well as the location with different anthropogenic influence. Older winter bees are characterized by a higher level of antioxidant protection, associated with a high degree of oxidative damage, better immunocompetence, as well as lowenergy reserves in the fat body. The seasonal increase in the temperature during the year increases the content of saturated while decreasing the ratio of unsaturated fatty acids, where oleic 18:1(9) acid stands out as the dominant component in the total fatty acid content of bee body fat from all three locations, during all three periods. The lower level of total hydrocarbons is another physiological characteristic of winter bees. Also, changes in cholinergic neurotransmission were observed during the season, with higher acetylcholinesterase activities in bees in late winter and summer. Metabolomic analysis of bee hemolymph identified 125 metabolites,included in 36 metabolic pathways, where metabolites in the metabolism of glycerolipids and amino acids glycine, cysteine, glutamine, phenylalanine, proline, and lysine stand out as biomarkers of importance for distinguishing summer and winter bees. By comparing the obtained results between different localities, honey bees from Belgrade stand out with lower levels of oxidative stress, lower activities of acetylcholinesterase as well as phenoloxidase and glucose oxidase, key enzymes in the immune response of bees. The honey bees from Susek had the largest mass of the fat body, which indicates good nutritional and energy reserves in bees during winter and summer, while the honey bees from Belgrade were shown to have a significantly higher ratio of unsaturated fatty acids in the fat body of bees during the year. There were also differences in the relative prevalence of n-alkanes in honey bees from different localities, nonacosane (C29) being the most common in Belgrade, while heptacosane (C27) is most prevalent in honey bee samples from Susek and Zajaca. By analyzing the metal content in honey bees, perga, and honey, it was noted that each environment is characterized by a specific pollution profile, as well as that the concentration of all analyzed metals in honey is significantly lower compared to samples of bees and perga. The obtained results provide a good basis for further studies of the biological response of the honey bee, in terms of the influence of the environmental factors, enabling further defining of appropriate measures for the protection of honey bee colonies.
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Gatius, Calderó Sònia. "Alteracions metabolòmiques en el càncer d'endometri." Doctoral thesis, Universitat de Lleida, 2020. http://hdl.handle.net/10803/668709.
Full textAbstract:
El càncer d’endometri és la neoplàsia ginecològica més freqüent en els països desenvolupats. Malgrat que la majoria dels carcinomes són curables amb un tractament adequat, al voltant del 20% dels tumors es comporten de forma agressiva i suposen un repte terapèutic. És per aquest motiu que sorgeix la necessitat d’identificar nous paràmetres per tal de seleccionar pacients amb risc de recidiva o metàstasi.
La cèl•lula eucariota presenta canvis en el seu metabolisme com a resposta coordinada a diferents situacions fisiològiques i patològiques, entre elles el càncer. L’anàlisi del metaboloma, mitjançant la metabolòmica, pot permetre identificar metabòlits diferencials que representen el producte final de les vies de senyalització que estan alterades en el càncer. Per aquest motiu hem volgut realitzar una anàlisi metabolòmica del càncer d’endometri. A més a més, per tal de validar els resultats i traslladar-los a la pràctica clínica s’han avaluat els nivells d’expressió dels metabòlits diferencials més significatius en arrays de teixit (TMAs).
En primer lloc, els resultats han mostrat que el procés de carcinogènesi del càncer d’endometri defineix un perfil metabolòmic específic. Els resultats suggereixen que la via dels endocannabinoides pot estar implicada en la gènesi i progressió del carcinoma endometrioide. Així mateix, l’alteració del metabolisme de les purines pot estar implicada en fenòmens d’invasió miometrial en el càncer d’endometri.
En segon lloc, l’estudi metabolòmic ha mostrat un perfil diferencial entre carcinomes endometrioides i serosos. A més a més, ha permès identificar dues molècules, ADI1 i BCAT1, que poden estar implicades en la gènesi de les neoplàsies endometrioides i en la progressió tumoral. Així mateix, aquests compostos poden ajudar a establir el diagnòstic diferencial entre aquests dos subtipus histològics amb pronòstics molt diferents.
Finalment, partint de la premissa que l’angiogènesi és un mecanisme essencial per al creixement, invasió i disseminació tumoral i que els carcinomes d’endometri amb flux sanguini intratumoral disminuït tenen pitjor pronòstic, s’ha analitzat el perfil metabolòmic del càncer d’endometri en funció del seu flux sanguini. El resultats mostren un perfil metabolòmic específic dels tumors segons el seu flux sanguini i permeten identificar Resolvina D i fosfolípids específics diferencials entre tumors d’alt i baix flux sanguini. Aquestes molècules poden estar implicades en l’angiogènesi i progressió tumoral en el càncer d’endometri.<br>El cáncer de endometrio es la neoplasia ginecológica más frecuente en los países desarrollados. A pesar de que la mayoría de los carcinomas son curables con un tratamiento adecuado, alrededor del 20% de los tumores se comportan de forma agresiva y suponen un reto terapéutico. Por este motivo surge la necesidad de identificar nuevos parámetros que permitan seleccionar pacientes con riesgo de recidiva o metástasis.
La célula eucariota presenta cambios en su metabolismo como respuesta coordinada a diferentes situaciones fisiológicas y patológicas, entre ellas el cáncer. El análisis del metaboloma, mediante la metabolómica, puede ayudar a identificar metabolitos diferenciales que representan el producto final de las vías de señalización que están alteradas en el cáncer. Por esta razón hemos querido realizar un análisis metabolómico del cáncer de endometrio. Además, para la validación de los resultados y su translación a la práctica clínica se han evaluado los niveles de expresión de los metabolitos diferenciales más significativos en arrays de tejido (TMAs).
En primer lugar, los resultados han mostrado que el proceso de carcinogénesis del cáncer de endometrio define un perfil metabolómico específico. Los resultados sugieren que la vía de los endocannabinoides puede estar implicada en la génesis y progresión del carcinoma endometrioide. Además, la alteración del metabolismo de las purinas puede estar implicada en fenómenos de invasión miometrial en el cáncer de endometrio.
En segundo lugar, el estudio metabolómico ha mostrado un perfil diferencial entre carcinomas endometrioides y serosos. Además ha permitido identificar dos moléculas, ADI1 i BCAT1, que pueden estar implicadas en la génesis de las neoplasias endometrioides así como en la progresión tumoral. Asimismo, estos dos compuestos pueden ser útiles en el diagnóstico diferencial de estos dos subtipos histológicos con pronósticos tan distintos.
Finalmente, partiendo de la base que la angiogénesis es un mecanismo esencial para el crecimiento, invasión y diseminación tumoral y que los carcinomas de endometrio con flujo sanguíneo intratumoral disminuido tienen peor pronóstico, se ha analizado el perfil metabolómico del cáncer de endometrio en función de su flujo sanguíneo. Los resultados muestran un perfil metabolómico específico de los tumores según su flujo sanguíneo y permiten identificar Resolvina D i fosfolípidos específicos diferenciales entre tumores de alto y bajo flujo sanguíneo. Estas moléculas pueden estar implicadas en la angiogénesis y progresión tumoral en el cáncer de endometrio.<br>Endometrial cancer is the most frequent gynecological malignancy in developed countries. Although most carcinomas are curable with adequate treatment, about 20% of tumors behave aggressively and pose a therapeutic challenge. For this reason, there is a need to identify new parameters that allow the selection of a patient with risk of recurrence or metastasis.
The eukaryotic cell presents changes in its metabolism as a coordinated response to different physiological and pathological situations, including cancer. The analysis of the metabolome, through metabolomics, can help identify differential metabolites that represent the final product of the signaling pathways that are altered in cancer. For this reason we wanted to perform a metabolomic analysis of endometrial cancer. In addition, for the validation of the results and their translation to clinical practice, the expression levels of the most significant differential metabolites have been evaluated using tissue arrays (TMAs).
First, the results have shown that the process of carcinogenesis of endometrial cancer defines a specific metabolomic profile. The results suggest that the endocannabinoid pathway may be involved in the genesis and progression of endometrioid carcinoma. In addition, the alteration of the purine metabolism may be involved in myometrial invasion phenomens in endometrial cancer.
Second, the metabolomic study has shown a differential profile between endometrioid and serous carcinomas and has allowed the identification of two molecules, ADI1 and BCAT1, which may be involved in the genesis of endometrioid neoplasms as well as in tumor progression. Likewise, these two compounds can be useful in the differential diagnosis of these two histological subtypes with such different prognoses.
Finally, starting from the basis that angiogenesis is an essential mechanism for tumor growth, invasion and dissemination and that endometrial carcinomas with decreased intratumoral blood flow have a worse prognosis, the metabolomic profile of endometrial carcinoma has been analysed according to its blood flow. The results show a specific metabolomic profile of the tumors according to their blood flow and allow identifying Resolvin D and specific phospholipids differentials between high and low blood flow tumors. These molecules may be involved in angiogenesis and tumor progression in endometrial cancer.
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Coras, Roxana Georgiana. "Identification of Metabolites as Biomarkers and Mediators of Inflammation in Inflammatory Arthritis." Doctoral thesis, Universitat Autònoma de Barcelona, 2021. http://hdl.handle.net/10803/673867.
Full textAbstract:
L’artritis inflamatòria representa una gran càrrega social i econòmica tot i els recents avenços terapèutics. Malgrat un millor coneixement dels mecanismes patogénics, l’elecció de l’tractament encara es realitza a manera de prova, el que condueix a una manca de control de l’activitat de la malaltia en aproximadament el 30% dels pacients i una alta taxa d’efectes secundaris. La identificació de mediadors de malaltia i predictors de resposta a el tractament és necesaria per permetre el tractament adequat i aconseguir la remissió clínica o al menys una baixa activitat de la malaltia. És poc prob-able que un sol biomarcador proporcioni informació suficient per explicar aquestes malalties heterogènies. La metabolòmica és una eina que es pot utilitzar per al descobriment de biomarcadors, ja que pot identificar perfils d’una gran quantitat de metabòlits en diferents tipus de mostres. Els metabòlits no són només el resultat final dels processos químics que tenen lloc en la cèl·lula, sinó que també juguen un paper crític en una varietat de processos cel·lulars, com les modificacions postranslacionals i la regulació de les cèl·lules immunes. Amb la hipòtesi que els metabòlits circulants reflecteixen processos sinovials, aquest projecte va tenir com a objectiu estudiar els metabòlits circulants en relació amb l’activitat de la enfermedad y la resposta als fàrmacs antireumàtics modificadors de la malaltia. Descrivim diferents perfils metabolòmics en pacients amb artritis inflamatòria comparats amb controls. També identifiquem metabòlits que es correlacionen amb l’activitat de la malaltia i que poden ser mediadors de la malaltia, així com metabòlits associats amb la resposta a el tractament.<br>La artritis inflamatoria representa una gran carga social y económica a pesar de los recientes avances terapéuticos. A pesar de un mejor conocimiento de los mecanismos patogénicos, la elección del tratamiento todavía se realiza a modo de prueba, lo que conduce a una falta de control de la actividad de la enfermedad en aproximadamente el 30 % de los pacientes y una alta tasa de efectos secundarios. La identificación de mediadores de enfermedad y predictores de respuesta al tratamiento es necesaria para permitir el tratamiento adecuado y lograr la remisión clínica o al menos una baja actividad de la enfermedad. Es poco probable que un solo biomarcador proporcione información suficiente para explicar estas enfermedades heterogéneas. La metabolómica es una herramienta que se puede utilizar para el descubrimiento de biomarcadores, ya que puede identificar perfiles de una gran cantidad de metabolitos en diferentes tipos de muestras. Los metabolitos no son solo el resultado final de los procesos químicos que ocurren en la célula, sino que también juegan un papel crítico en una variedad de procesos celulares, como las modificaciones postranslacionales y la regulación de las células inmunes. Con la hipótesis de que los metabolitos circulantes reflejan procesos sinoviales, este proyecto tuvo como objetivo estudiar los metabolitos circulantes en relación con la actividad de la enfermedad y la respuesta a los fármacos antirreumáticos modificadores de la enfermedad. Describimos diferentes perfiles metabolómicos en pacientes con artritis inflamatoria comparados con controles. También identificamos metabolitos que se correlacionan con la actividad de la enfermedad y que pueden ser mediadores de la enfermedad, asi como metabolitos asociados con la respuesta al tratamiento.<br>Inflammatory arthritis represents a great social and economic burden despite recent therapeutic advances. Although we have a better understanding of the pathogenic mechanisms, treatment election is still made on a trial basis, which leads to lack of control of disease activity in approximately 30% of patients and a high rate of side effects. The identification of disease mediators and predictors of response to treatment are needed to allow the adequate treatment and achieve clinical remission or at least low disease activity. A single biomarker is unlikely to provide sufficient information to explain these heterogeneous diseases. Metabolomics is a tool that can be used for biomarker discovery as it can identify profiles of a large number of metabolites in different types of samples. Metabolites are not just the end result of chemical processes that occur in the cell, but also play critical role in a variety of cellular processes, such as post-translational modifications and immune cell regulation. With the hypothesis that circulating metabolites reflect synovial processes, this project aimed to study circulating metabolites in relation to disease activity and response to disease modifying anti- rheumatic drugs. We described different metabolomic profiles in patients with inflammatory arthritis compared to controls. We also identified metabolites that correlate with disease activity and that may be mediators of disease, as well as metabolites that are associated with response to treatment.<br>Universitat Autònoma de Barcelona. Programa de Doctorat en Medicina
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Norris, Teresa Emilea. "Metabolomics /." Electronic version (PDF), 2006. http://dl.uncw.edu/etd/2006/norrist/teresanorris.pdf.
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Postigo, Matheus Pereira. "Uso de ressonância magnética nuclear na análise metabolômica de biofluidos de animais tratados com ivermectina." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/75/75135/tde-24072012-164610/.
Full textAbstract:
A pesquisa bioquímica no campo da Metabolômica/Metabonômica tem se intensificado consideravelmente nos últimos anos, por sua capacidade de adquirir uma grande quantidade de informação a respeito do comportamento de um organismo através de seu metabolismo. Para isso, frequentemente faz uso da aplicação das mais diversas técnicas analíticas, como a Ressonância Magnética Nuclear. A Ivermectina é um fármaco de amplo uso no Brasil, dada a sua eficiência no controle de verminoses e pragas em gado (e humanos) e está aqui inserida no contexto metabolômico/metabonômico dadas as inúmeras violações ocorridas na carne brasileira exportada. A não observância dos períodos adequados de carência para abate dos animais tratados pode refletir seriamente na qualidade destes produtos. Assim, utilizou-se a Ivermectina como forma de provocar mudanças no metabolismo de bovinos e camundongos, procurando-se correlacionar as variações encontradas à dose aplicada. Através de ferramentas auxiliares, como RMN-2D e ferramentas quimiométricas exploratórias, fez-se a avaliação de amostras de plasma sanguíneo e urina bovinos, e plasma sanguíneo de camundongos Balb-C, após administração de Ivermectina. Os resultados obtidos mostram que a Ivermectina tem influência no balanço energético do organismo, interferindo nos níveis de lactato e β-hidróxibutirato, podendo estar ligada ao aparecimento de uma condição metabólica crítica em mamíferos, relacionada à alta concentração de corpos cetônicos na corrente sanguínea dos mesmos.<br>The biochemical research in the field of Metabolomics/ Metabonomics has grown considerably in recent years because its capability of acquiring a large amount of information about the behavior of an organism through its metabolism. For this, it often applies several analytical techniques such as Nuclear Magnetic Resonance. Ivermectin is a drug widely used in Brazil, for its effectiveness in controlling verminosis and pests in livestock (and humans) and is here inserted in the metabolomic/metabonomic context because of the numerous breaches occurred in brazilian beef exports. Failures to comply with the appropriate withdrawal periods for slaughtering treated animals may reflect seriously on the quality of these products. Thus, we used Ivermectin as a metabolism change inducer in cattle and mice, trying to correlate these variations to the applied dose. Through auxiliary tools such as 2D-NMR and chemometric exploratory tools, we evaluated samples of bovine blood plasma and urine, and blood plasma of Balb-C mice, after Ivermectin administration. The results show that Ivermectin has influence on the organism\'s energy balance, interfering with lactate and β-hydroxybutyrate which can be connected to the onset of a critical metabolic condition in mammals, related to the high concentration of ketone bodies in their blood stream.
Books on the topic "Metabolomika"
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Bhattacharya, Sanjoy K., ed. Metabolomics. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9488-5.
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Weckwerth, Wolfram, ed. Metabolomics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-244-1.
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Wood, Paul L., ed. Metabolomics. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0864-7.
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Tomita, Masaru, and Takaaki Nishioka, eds. Metabolomics. Springer-Verlag, 2005. http://dx.doi.org/10.1007/4-431-28055-3.
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Nielsen, Jens, and Michael C. Jewett, eds. Metabolomics. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74719-2.
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Wehrens, Ron, and Reza Salek, eds. Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583.
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Wolfram, Weckwerth. Metabolomics. Humana Press, 2006. http://dx.doi.org/10.1385/1597452440.
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Hardy, Nigel W., and Robert D. Hall, eds. Plant Metabolomics. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-594-7.
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Baidoo, Edward E. K., ed. Microbial Metabolomics. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-8757-3.
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Saito, Kazuki, Richard A. Dixon, and Lothar Willmitzer, eds. Plant Metabolomics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29782-0.
Full textBook chapters on the topic "Metabolomika"
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Scholz, Matthias, and Joachim Selbig. "Visualization and Analysis of Molecular Data." In Metabolomics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-244-1_6.
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Yanes, Oscar, Reza Salek, Igor Marín de Mas, and Marta Cascante. "Overview of Metabolomics." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-1.
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Salek, Reza. "Data Sharing and Standards." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-10.
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Wehrens, Ron, and Reza Salek. "Conclusion." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-11.
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Franceschi, Pietro, Oscar Yanes, and Ron Wehrens. "Study Design and Preparation." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-2.
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Yanes, Oscar, Katherine Hollywood, Roland Mumm, et al. "Measurement Technologies." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-3.
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Neumann, Steffen, Oscar Yanes, Roland Mumm, and Pietro Franceschi. "Mass Spectrometry Data Processing." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-4.
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Vinaixa, Maria, Naomi Rankin, Jeremy Everett, and Reza Salek. "Nuclear Magnetic Resonance Spectroscopy Data Processing." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-5.
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Wehrens, Ron, and Pietro Franceschi. "Statistics: The Essentials." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-6.
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Westerhuis, Johan A., Frans van der Kloet, and Age K. Smilde. "Data Fusion in Metabolomics." In Metabolomics. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-7.
Full textConference papers on the topic "Metabolomika"
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Chang, Chun, Ying Liang, Juan Wang, Yongchang Sun, and Wanzhen Yao. "Metabolomic profiling differences among asthma, COPD and healthy controls: a LC-MS-based metabolomics analysis." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa1701.
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Misra, R., D. Dubey, S. Ahmed, et al. "AB0144 Nmr based serum and synovial fluid metabolomics reveal similar metabolomic profile in patients with reactive arthritis and undifferentiated spondyloarthropathy." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.6257.
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Farha, S. Y., S. A. A. Comhair, S. Kalhan, et al. "Metabolomics in Pulmonary Hypertension." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5872.
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Fettig, Jade, Satish Kalhan, Serpil C. Erzurum, and Suzy Comhair. "Metabolomic Profile Of Asthma." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a6826.
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Frezza, Christian. "[KEYNOTE] Mitochondrial dysfunction and cancer: metabolites and beyond (Video)." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05836.
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González-Domínguez, Raúl. "Annotation of phospholipids in mass spectrometry-based metabolomics." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05837.
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González-Domínguez, Raúl, Ana Sayago, and Ángeles Fernández-Recamales. "Application of targeted and non-targeted approaches to investigate the effect of genotype and growing conditions on the strawberry metabolome." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05838.
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González-Domínguez, Raúl, Ana Sayago, and Ángeles Fernández-Recamales. "Comparison of complementary statistical analysis approaches in metabolomic food traceability." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05839.
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Grintzalis, Konstantinos, Thomas Lawson, Iseult Lynch, and Mark Viant. "Detection of metabolite corona on amino functionalised polystyrene nanoparticles and its implications in freshwater organisms." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05840.
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Santos, Rebeca, Marcelo Maraschin, and Miguel Rocha. "Metabolomics-based approaches on wine authentication: a review with case studies." In 3rd International Electronic Conference on Metabolomics. MDPI, 2018. http://dx.doi.org/10.3390/iecm-3-05841.
Full textReports on the topic "Metabolomika"
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Rabinowitz, Joshua D., Ludmilla Aristilde, and Daniel Amador-Noguez. Metabolomics of Clostridial Biofuel Production. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1213974.
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Vertes, Akos. New approaches for metabolomics by mass spectrometry. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1368638.
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Arp, Daniel, and Luis Sayavedra-Soto. Metabolomic Functional Analysis of Bacterial Genomes: Final Report. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/951563.
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Trock, Bruce J. Metabolomic Profiling of Prostate Cancer Progression During Active Surveillance. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada579522.
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Trock, Bruce J. Metabolomic Profiling of Prostate Cancer Progression During Active Surveillance. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada604610.
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Drake, Richard R., and Alexander Parker. Tissue and Metabolomic Biomarkers of Recurrent Renal Cell Carcinoma. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada592797.
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Poole, Elizabeth M. Psychosocial Stress and Ovarian Cancer Risk: Metabolomics and Perceived Stress. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613203.
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PI: Lily Y. Young Co-PI: Gerben J. Zylstra. Conference-EC-US Task Force Joint US-EU Workshop on Metabolomics and Environmental Biotechnology. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1039555.
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Aharoni, Asaph, Zhangjun Fei, Efraim Lewinsohn, Arthur Schaffer, and Yaakov Tadmor. System Approach to Understanding the Metabolic Diversity in Melon. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593400.bard.
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Fruit quality is determined by numerous genetic factors that affect taste, aroma, color, texture, nutritional value and shelf life. To unravel the genetic components involved in the metabolic pathways behind these traits, the major goal of the project was to identify novel genes that are involved in, or that regulate, these pathways using correlation analysis between genotype, metabolite and gene expression data. The original and specific research objectives were: (1) Collection of replicated fruit from a population of 96 RI lines derived from parents distinguished by great diversity in fruit development and quality phenotypes, (2) Phenotypic and metabolic profiling of mature fruit from all 96 RI lines and their parents, (3) 454 pyrosequencing of cDNA representing mRNA of mature fruit from each line to facilitate gene expression analysis based on relative EST abundance, (4) Development of a database modeled after an existing database developed for tomato introgression lines (ILs) to facilitate online data analysis by members of this project and by researchers around the world. The main functions of the database will be to store and present metabolite and gene expression data so that correlations can be drawn between variation in target traits or metabolites across the RI population members and variation in gene expression to identify candidate genes which may impact phenotypic and chemical traits of interest, (5) Selection of RI lines for segregation and/or hybridization (crosses) analysis to ascertain whether or not genes associated with traits through gene expression/metabolite correlation analysis are indeed contributors to said traits. The overall research strategy was to utilize an available recombinant inbred population of melon (Cucumis melo L.) derived from phenotypically diverse parents and for which over 800 molecular markers have been mapped for the association of metabolic trait and gene expression QTLs. Transcriptomic data were obtained by high throughput sequencing using the Illumina platform instead of the originally planned 454 platform. The change was due to the fast advancement and proven advantages of the Illumina platform, as explained in the first annual scientific report. Metabolic data were collected using both targeted (sugars, organic acids, carotenoids) and non-targeted metabolomics analysis methodologies. Genes whose expression patterns were associated with variation of particular metabolites or fruit quality traits represent candidates for the molecular mechanisms that underlie them. Candidate genes that may encode enzymes catalyzingbiosynthetic steps in the production of volatile compounds of interest, downstream catabolic processes of aromatic amino acids and regulatory genes were selected and are in the process of functional analyses. Several of these are genes represent unanticipated effectors of compound accumulation that could not be identified using traditional approaches. According to the original plan, the Cucurbit Genomics Network (http://www.icugi.org/), developed through an earlier BARD project (IS-3333-02), was expanded to serve as a public portal for the extensive metabolomics and transcriptomic data resulting from the current project. Importantly, this database was also expanded to include genomic and metabolomic resources of all the cucurbit crops, including genomes of cucumber and watermelon, EST collections, genetic maps, metabolite data and additional information. In addition, the database provides tools enabling researchers to identify genes, the expression patterns of which correlate with traits of interest. The project has significantly expanded the existing EST resource for melon and provides new molecular tools for marker-assisted selection. This information will be opened to the public by the end of 2013, upon the first publication describing the transcriptomic and metabolomics resources developed through the project. In addition, well-characterized RI lines are available to enable targeted breeding for genes of interest. Segregation of the RI lines for specific metabolites of interest has been shown, demonstrating the utility in these lines and our new molecular and metabolic data as a basis for selection targeting specific flavor, quality, nutritional and/or defensive compounds. To summarize, all the specific goals of the project have been achieved and in many cases exceeded. Large scale trascriptomic and metabolomic resources have been developed for melon and will soon become available to the community. The usefulness of these has been validated. A number of novel genes involved in fruit ripening have been selected and are currently being functionally analyzed. We thus fully addressed our obligations to the project. In our view, however, the potential value of the project outcomes as ultimately manifested may be far greater than originally anticipated. The resources developed and expanded under this project, and the tools created for using them will enable us, and others, to continue to employ resulting data and discoveries in future studies with benefits both in basic and applied agricultural - scientific research.
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Rabinowitz, Joshua D. Final Technical Report--Quantitative analysis of metabolic regulation by integration of metabolomics, proteomics, and fluxomics. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1487155.
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