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1.
Article in English | WPRIM | ID: wpr-929268

ABSTRACT

The dry root and rhizome of Panax ginseng C. A. Mey has garnered much interest owing to its medicinal properties against diabetes and cardiovascular diseases. In this study, an ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS)-based metabolomics approach was used to illustrate the therapeutic mechanisms of ginseng extract on the serum and urinary metabolic profiles in streptozotocin-induced type 1 diabetes mellitus (T1DM) rats. Pharmacological and renal parameters in response to the administration of ginseng were also evaluated. In total, 16 serum endogenous metabolites and 14 urine endogenous metabolites, including pyruvic acid, indoleacetic acid, and phenylacetylglycine, were identified as potential biomarkers for diabetes. Pathway enrichment and network analysis revealed that the biomarkers modulated by ginseng were primarily involved in phenylalanine and pyruvate metabolism, as well as in arginine biosynthesis. Moreover, the levels of several renal injury-related biomarkers in T1DM rats were significantly restored following treatment with ginseng. The administration of the extract helped maintain tissue structure integrity and ameliorated renal injury. The findings suggest that the regulatory effect of ginseng extract on T1DM involves metabolic management of diabetic rats, which subsequently attenuates T1DM-induced early renal dysfunction.


Subject(s)
Animals , Biomarkers , Chromatography, High Pressure Liquid/methods , Diabetes Mellitus, Experimental/metabolism , Diabetes Mellitus, Type 1/drug therapy , Kidney , Metabolomics/methods , Panax/chemistry , Plant Extracts/pharmacology , Rats
2.
Article in Chinese | WPRIM | ID: wpr-928189

ABSTRACT

With the ultra high performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry(UHPLC-Q Exactive Orbitrap-MS)-based metabonomics technology, this study aims to analyze the effect of Chaiqin Ningshen Granules(CNG) on endogenous metabolites in insomnia rats of liver depression syndrome and explore the sleep-improving mechanism of this prescription. Parachlorophenylalanine(PCPA, ip) and chronic stimulation were combined to induce insomnia of liver depression pattern in rats, and the effect of CNG on the macroscopic signs, hemorheology, and neurotransmitters in the hippocampus of insomnia rats of liver depression syndrome was observed. After the administration, rat hippocampus was collected for liquid chromatography-mass spectrometry(LC-MS) analysis of the metabolomics. Principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were employed for analyzing the metabolites in rat hippocampus and screening potential biomarkers. MetPA was used to yield the related metabolic pathways and metabolic networks. The results show that the drugs can significantly improve the mental state, liver depression, and blood stasis of rats, significantly increase the content of 5-hydroxytryptamine(5-HT) and gamma aminobutyric acid(GABA) in hippocampus(except low-dose CNG), and significantly reduce the content of glucose(Glu)(except low-dose CNG). Among them, estazolam and high-dose CNG had better effect than others. Metabolomics analysis yielded 27 potential biomarkers related to insomnia. MetPA analysis showed 4 metabolic pathways of estazolam in intervening insomnia and 3 metabolic pathways of high-dose CNG in intervening insomnia, involving purine metabolism, glycerophospholipid metabolism, histidine metabolism, and caffeine metabolism. CNG can alleviate insomnia by regulating endogenous differential metabolites and further related metabolic pathways. The result lays a basis for further elucidating the mechanism of CNG in improving sleep.


Subject(s)
Animals , Biomarkers , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/pharmacology , Estazolam , Hippocampus/metabolism , Metabolomics/methods , Rats , Sleep , Sleep Initiation and Maintenance Disorders/drug therapy
3.
Article in Chinese | WPRIM | ID: wpr-928166

ABSTRACT

The present study analyzed the potential biomarkers of chronic obstructive pulmonary disease(COPD) with lung-Qi deficiency syndrome by non-targeted metabolomics and explored the biological basis of this syndrome. Blood samples of 96 COPD patients with lung-Qi deficiency syndrome(COPD with lung-Qi deficiency syndrome group) and 106 healthy people(healthy control group) were collected, and the metabolic profiles of both groups were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Multivariate statistical analysis and differential metabolite screening were carried out by using Progenesis QI and Simca-P. Metabolic pathways were constructed through the MetaboAnalyst. Seven potential biomarkers, such as L-cystathionine, protoporphyrinogen Ⅸ, and citalopram aldehyde, were identified. Compared with the results in the healthy control group, the content of citalopram aldehyde, N1-methyl-2-pyridone-5-carboxamide, and 11β,17β-dihydroxy-4-androsten-3-one was significantly up-regulated, while that of the other four compounds such as L-cystathionine, dihydrotestosterone, protoporphyrinogen Ⅸ, and D-urobilinogen was down-regulated. These potential biomarkers involved six metabolic pathways, including cysteine and methionine metabolism, porphyrin and chlorophyll metabolism, drug metabolism of cytochrome P450, steroid hormone biosynthesis, glycine, serine, and threonine metabolism, and nicotinate and nicotinamide meta-bolism. This study is expected to provide a certain scientific basis for the research on traditional Chinese medicine syndrome of COPD with lung-Qi deficiency syndrome from the molecular biology level.


Subject(s)
Aldehydes , Biomarkers , Chromatography, High Pressure Liquid , Citalopram , Cystathionine , Humans , Lung , Metabolomics/methods , Pulmonary Disease, Chronic Obstructive
4.
Article in Chinese | WPRIM | ID: wpr-928093

ABSTRACT

Suanzaoren Decoction(SZRD) is a classical formula for the clinical treatment of insomnia. This study analyzed the effect of SZRD on endogenous metabolites in insomnia rats based on metabonomics and thereby explored the anti-insomnia mechanism of SZRD. To be specific, DL-4-chlorophenylalanine(PCPA) was used to induce insomnia in rats. Then pathological changes of the liver and brain were observed and biochemical indexes such as 5-hydroxytryptamine(5-HT), dopamine(DA), glutamate(Glu), γ-aminobutyric acid(GABA), and norepinephrine(NE) in the hippocampus and prostaglandin D2(PGD2), tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), and IL-6 in the serum of rats were detected. On this basis, the effect of SZRD on PCPA-induced insomnia rats was preliminarily assessed. The metabolic profile of rat serum samples was further analyzed by ultra-performance liquid chromatography-quadrupole-time of flight-tandem mass spectrometry(UPLC-Q-TOF-MS/MS). Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were combined with t-test and variable importance in projection(VIP) to identify differential metabolites, and MetaboAnalyst 5.0 was employed for pathway analysis. The results showed that SZRD could improve the pathological changes of brain and liver tissues, increase the levels of neurotransmitters 5-HT, DA, and GABA in hippocampus and the level of PGD2 in hypothalamic-pituitary-adrenal axis(HPA axis), and reduce the levels of IL-1β and TNF-α in serum of insomnia rats. Metabonomics analysis yielded 12 significantly changed potential metabolites: 5-aminovaleric acid, N-acetylvaline, L-proline, L-glutamate, L-valine, DL-norvaline, D(-)-arginine, pyroglutamic acid, 1-methylguanine, L-isoleucine, 7-ethoxy-4-methylcoumarin, and phthalic acid mono-2-ethylhexyl ester(MEHP), which were related with multiple biochemical processes including metabolism of D-glutamine and D-glutamate, metabolism of alanine, aspartate, and glutamate, metabolism of arginine and proline, arginine biosynthesis, glutathione metabolism. These metabolic changes indicated that SZRD can improve the metabolism in insomnia rats by regulating amino acid metabolism.


Subject(s)
Animals , Chromatography, High Pressure Liquid/methods , Drugs, Chinese Herbal , Hypothalamo-Hypophyseal System , Metabolomics/methods , Pituitary-Adrenal System , Rats , Sleep Initiation and Maintenance Disorders/drug therapy , Tandem Mass Spectrometry
5.
Article in Chinese | WPRIM | ID: wpr-928039

ABSTRACT

Clarifying the mechanisms of Chinese medicinal processing is pivotal to the modernization of Chinese medicine. Research on Chinese medicinal processing gives priority to the mechanisms of the processing in enhancing efficacy, reducing toxicity, and repurposing medicinals. During the past 20 years, scholars have carried out in-depth studies on the mechanisms of Chinese medicinal processing via modern system biology. They mainly focused on the changes of medicinal properties and efficacy caused by processing using techniques of modern pharmacology and molecular biology, spectrum-efficacy correlation, and biophoton emission. However, these techniques fail to reflect the holistic view of traditional Chinese medicine. With the introduction of system biology, multi-omics techno-logies(genomics, transcriptomics, proteomics, and metabolomics) have surged, which have been applied to the research on the mec-hanisms of Chinese medicinal processing. These multi-omics technologies have advantages in the research on holism. This study aims to summarize the research techniques and approaches in system biology for mechanisms of Chinese medicinal processing in the past 20 years and analyze the limitations and advantages of them. It is concluded that the multi-omics techniques of system biology can reconstruct the mechanisms of Chinese medicinal processing. This study provides a new direction for further research on the mechanisms of Chinese medicinal processing.


Subject(s)
China , Genomics , Medicine, Chinese Traditional , Metabolomics/methods , Proteomics
6.
Article in Chinese | WPRIM | ID: wpr-927941

ABSTRACT

Chinese medicine processing is a procedure to process medicinal materials under the guidance of traditional Chinese medicine(TCM) theories by using unique methods in China. The medicinal materials can only be used clinically after proper processing. With the development of the modernization of TCM, it is difficult to solve the problems in the inheritance, development, and internationalization of Chinese medicine processing. Metabonomics, a new omics technology developed at the end of the last century, is used to infer the physiological or pathological conditions of the organism with the methods such as NMR and LC-MS via investigating the changes in endogenous small molecule metabolic network after the organism is stimulated by external environment. Metabonomics coincides with the holistic view of TCM because it displays the characteristics of integrity, comprehensiveness, and dynamics, and it has been widely applied in the field of Chinese medicine processing in recent years. This study summarized the application of metabonomics in the processing mechanism and quality control of Chinese medicine processing and prospected the development of this technology in the field of Chinese medicine processing.


Subject(s)
Chromatography, Liquid , Drugs, Chinese Herbal , Mass Spectrometry , Medicine, Chinese Traditional , Metabolomics/methods , Quality Control
7.
Arch. Clin. Psychiatry (Impr.) ; 46(5): 120-124, Sept.-Oct. 2019. tab, graf
Article in English | LILACS | ID: biblio-1054911

ABSTRACT

Abstract Background Current evidence suggests that upregulation of polyamines system plays a role both in cognitive deficit and synaptic loss observed in Alzheimer's disease (AD). Objective The aim of this study was to determine the plasmatic concentration of polyamines in mild cognitive impairment (MCI) and AD patients in comparison with healthy controls (HC). Methods Plasmatic polyamines were quantified using the AbsoluteIDQ® p180 and liquid chromatography coupled to tandem mass spectrometry (LC/MS-MS). Results The study group comprised 34 AD patients, 20 MCI and 25 HC. All individuals were followed for 4 years. During this period 8 amnestic MCI patients (40% of the MCI sample at baseline) converted to AD. Spermidine level was lower in both patient groups (AD; MCI) compared to HC (p = 0.007). Plasma levels of spermine were higher in the MCI group (p < 0.001), but decreased in the sub-sample of MCI patients who converted to AD (p = 0.043). No statistically significant differences were found in ornithine and putrescine levels (p = 0.056 and p = 0.126, respectively). Discussion Our results suggest dynamic changes in the expression of polyamines in the MCI-AD continuum.


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Polyamines/blood , Spermine/blood , Alzheimer Disease/physiopathology , Cognitive Dysfunction/physiopathology , Ornithine/blood , Polyamines/metabolism , Biomarkers/blood , Putrescine/blood , Spermidine/blood , Chromatography, Liquid/methods , Tandem Mass Spectrometry/methods , Metabolomics/methods , Alzheimer Disease/diagnosis , Cognitive Dysfunction/diagnosis
8.
Rev. invest. clín ; 71(2): 106-115, Mar.-Apr. 2019. tab, graf
Article in English | LILACS | ID: biblio-1289676

ABSTRACT

Abstract Background Focal segmental glomerulosclerosis (FSGS) is considered one of the most severe glomerular diseases and around 80% of cases are resistant to steroid treatment. Since a large proportion of steroid-resistant (SR) FSGS patients progress to end-stage renal disease, other therapeutic strategies may benefit this population. However, identification of non-invasive biomarkers to predict this high-risk population is needed. Objective We aimed to identify the biomarker candidates to distinguish SR from steroid-sensitive (SS) patients using metabolomics approach and to identify the possible molecular mechanism of resistance. Methods Urine was collected from biopsy-proven FSGS patients eligible for monotherapy with prednisolone. Patients were followed for 6-8 weeks and categorized as SS or SR. Metabolite profile of urine samples was analyzed by one-dimensional 1H-nuclear magnetic resonance (1H-NMR). Predictive biomarker candidates and their diagnostic importance impaired molecular pathways in SR patients, and the common target molecules between biomarker candidates and drug were predicted. Results Homovanillic acid, 4-methylcatechol, and tyrosine were suggested as the significant predictive biomarker candidates, while L-3,4-dihydroxyphenylalanine, norepinephrine, and gentisic acid had high accuracy as well. Tyrosine metabolism was the most important pathway that is perturbed in SR patients. Common targets of the action of biomarker candidates and prednisolone were molecules that contributed in apoptosis. Conclusion Urine metabolites including homovanillic acid, 4-methylcatechol, and tyrosine may serve as potential non-invasive predictive biomarkers for evaluating the responsiveness of FSGS patients.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Young Adult , Prednisolone/therapeutic use , Glomerulosclerosis, Focal Segmental/drug therapy , Metabolomics/methods , Glucocorticoids/therapeutic use , Glomerulosclerosis, Focal Segmental/physiopathology , Biomarkers/metabolism , Pilot Projects , Treatment Outcome
9.
Clinics ; 74: e894, 2019. graf
Article in English | LILACS | ID: biblio-989644

ABSTRACT

The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and "omics" sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent "boom" in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.


Subject(s)
Humans , Female , Pregnancy , Infant, Newborn , Pregnancy Complications/diagnosis , Perinatal Care , Metabolomics/methods , Metabolomics/trends , Maternal Health , Pregnancy Complications/metabolism , Pregnancy Trimester, Third/metabolism , Prognosis , Biomarkers/metabolism , Premature Birth/diagnosis , Translational Research, Biomedical/trends
10.
Clinics ; 73: e333, 2018. graf
Article in English | LILACS | ID: biblio-974924

ABSTRACT

OBJECTIVE: This study aims to investigate differences in the metabolomic profiles of patients who received different surgeries for papillary thyroid carcinoma (PTC). METHODS: Two surgical methods, i.e., unilateral and total thyroidectomy, were employed according to different disease conditions. Sera from patients who were treated with levothyroxine sodium tablets before and after surgery was analyzed with a Bruker 500 Hz nuclear magnetic resonance (NMR) spectrometer. Data were analyzed via principal component analysis (PCA) and partial least squares discriminate analysis (PLS-DA) with SIMCA-P+ 11.0 software, and metabolites were obtained and compared. The first and second principal components were selected from PCA, PLS-DA, and orthogonal partial least squares discriminate analysis (OPLS-DA). A p-value less than 0.05 was considered statistically significant. RESULTS: There were significant differences in serum metabolomics before and after surgery. Compared with unilateral thyroidectomy, total thyroidectomy reversed some highly increased metabolite levels (e.g., taurine and betaine). More significant variations in abnormal metabolites were noted after total thyroidectomy than after unilateral thyroidectomy (e.g., alanine, choline, hippurate, and formic acid). CONCLUSIONS: The choice of surgical method for PTC patients should be based not only on the tumor condition but also on the potential consequences of metabolic variations. Total thyroidectomy reversed some increased metabolite levels but led to accumulation of some other metabolites due to the loss of thyroid function; thus, metabolic disturbances caused by thyroid hormone deficiency should be prevented in advance.


Subject(s)
Humans , Male , Female , Adult , Thyroidectomy/methods , Thyroid Neoplasms/surgery , Metabolomics/methods , Thyroid Cancer, Papillary/surgery , Thyroid Neoplasms/metabolism , Thyroid Neoplasms/diagnostic imaging , Magnetic Resonance Spectroscopy , Principal Component Analysis , Thyroid Cancer, Papillary/metabolism , Thyroid Cancer, Papillary/diagnostic imaging
11.
Salud pública Méx ; 59(4): 423-428, Jul.-Aug. 2017. tab, graf
Article in English | LILACS | ID: biblio-903779

ABSTRACT

Abstract: Objective: Inborn errors of metabolism (IEM) are genetic conditions that are sometimes associated with intellectual developmental disorders (IDD). The aim of this study is to contribute to the metabolic characterization of IDD of unknown etiology in Mexico. Materials and methods: Metabolic screening using tandem mass spectrometry and fluorometry will be performed to rule out IEM. In addition, target metabolomic analysis will be done to characterize the metabolomic profile of patients with IDD. Conclusion: Identification of new metabolomic profiles associated with IDD of unknown etiology and comorbidities will contribute to the development of novel diagnostic and therapeutic schemes for the prevention and treatment of IDD in Mexico.


Resumen: Objetivo: Los errores innatos del metabolismo (EIM) son condiciones genéticas que pueden asociarse con trastornos del desarrollo intelectual (TDI). El objetivo de este estudio es contribuir a la caracterización metabólica de los pacientes con TDI de etiología desconocida. Material y métodos: Se realizará un tamiz metabólico mediante espectrometría de masas-tándem y fluorometría para descartar EIM; además, se analizará el perfil metabolómico de los pacientes con TDI. Conclusión: La identificación de perfiles metabolómicos asociados con los TDI de etiología desconocida contribuirá al desarrollo de nuevos esquemas diagnósticos y terapéuticos para la prevención y tratamiento de los TDI en México.


Subject(s)
Humans , Male , Female , Child , Adolescent , Young Adult , Metabolomics/methods , Intellectual Disability/etiology , Intellectual Disability/epidemiology , Metabolism, Inborn Errors/diagnosis , Mass Screening , Health Surveys , Tandem Mass Spectrometry , Fragile X Syndrome/diagnosis , Fragile X Syndrome/epidemiology , Mexico/epidemiology
12.
Bol. méd. Hosp. Infant. Méx ; 74(3): 219-226, May.-Jun. 2017. graf
Article in English | LILACS | ID: biblio-888619

ABSTRACT

Abstract: In recent years, the use of high-throughput omics technologies has led to the rapid discovery of many candidate biomarkers. However, few of them have made the transition to the clinic. In this review, the promise of omics technologies to contribute to the process of biomarker development is described. An overview of the current state in this area is presented with examples of genomics, proteomics, transcriptomics, metabolomics and microbiomics biomarkers in the field of oncology, along with some proposed strategies to accelerate their validation and translation to improve the care of patients with neoplasms. The inherent complexity underlying neoplasms combined with the requirement of developing well-designed biomarker discovery processes based on omics technologies present a challenge for the effective development of biomarkers that may be useful in guiding therapies, addressing disease risks, and predicting clinical outcomes.


Resumen: En los últimos años, el uso de las tecnologías ómicas de alta densidad de datos ha permitido el rápido descubrimiento de posibles biomarcadores. Sin embargo, esto no ha tenido un impacto notable en la clínica ya que se han implementado muy pocos de esos biomarcadores. En el presente documento se describe el potencial de las tecnologías ómicas en el desarrollo de nuevos biomarcadores. Con el objetivo de dar a conocer un panorama general de la situación actual, se comentan algunos ejemplos ilustrativos de biomarcadores genómicos, transcriptómicos, proteómicos, metabolómicos y microbiómicos en el campo de la investigación en oncología. Asimismo, se señalan algunas de las recomendaciones que se han propuesto para acelerar su validación e implementación, y se comenta sobre cómo la complejidad inherente a las enfermedades se combina con la complejidad de las tecnologías ómicas, de tal modo que el desarrollo de biomarcadores predictivos, pronósticos y diagnósticos eficientes plantea retos importantes.


Subject(s)
Animals , Humans , Biomarkers, Tumor/metabolism , High-Throughput Screening Assays/methods , Neoplasms/pathology , Genomics/methods , Proteomics/methods , Metabolomics/methods , Microbiota
13.
Bol. méd. Hosp. Infant. Méx ; 74(3): 227-232, May.-Jun. 2017. tab
Article in English | LILACS | ID: biblio-888620

ABSTRACT

Abstract: Acute lymphoblastic leukemia (ALL) affects the quality of life of many children in the world and particularly in Mexico, where a high incidence has been reported. With a proper financial investment and with well-organized institutions caring for those patients, together with solid platforms to perform high-throughput analyses, we propose the creation of a Mexican repository system of serum and cells from bone marrow and blood samples derived from tissues of pediatric patients with ALL diagnosis. This resource, in combination with omics technologies, particularly proteomics and metabolomics, would allow longitudinal studies, offering an opportunity to design and apply personalized ALL treatments. Importantly, it would accelerate the development of translational science and will lead us to further discoveries, including the identification of new biomarkers for the early detection of leukemia.


Resumen: La leucemia linfoblástica aguda (LLA) afecta la calidad de vida de una gran cantidad de individuos en edad pediátrica en todo el mundo; particularmente en México, donde se ha reportado una alta incidencia. Con un apropiado fondo de inversión financiera, así como instituciones adecuadamente organizadas al cuidado de los pacientes con LLA, en conjunto con plataformas sólidas para llevar a cabo análisis globales y de alto rendimiento, se propone la creación de un repositorio para la conservación de suero y células provenientes de médula ósea y sangre derivadas de pacientes pediátricos con LLA al diagnóstico. Estos recursos, en combinación con las tecnologías ómicas, en particular la proteómica y la metabolómica, podrían permitir el establecimiento de estudios longitudinales y ofrecer una oportunidad para el diseño y aplicación de tratamientos personalizados para la LLA. Esta estrategia permitiría acelerar el desarrollo de la ciencia traslacional, favoreciendo el hallazgo de importantes descubrimientos, incluyendo la identificación de nuevos biomarcadores para la detección temprana de la leucemia.


Subject(s)
Child , Humans , Biomarkers, Tumor/metabolism , Proteomics/methods , Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis , Metabolomics/methods , Quality of Life , Biological Specimen Banks , Early Diagnosis , Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology , Precision Medicine/methods , Mexico
14.
Braz. j. med. biol. res ; 50(11): e6485, 2017. tab
Article in English | LILACS | ID: biblio-888949

ABSTRACT

Osteoarthritis (OA) is the main cause of disability worldwide, due to progressive articular cartilage loss and degeneration. According to recent research, OA is more than just a degenerative disease due to some metabolic components associated to its pathogenesis. However, no biomarker has been identified to detect this disease at early stages or to track its development. Metabolomics is an emerging field and has the potential to detect many metabolites in a single spectrum using high resolution nuclear magnetic resonance (NMR) techniques or mass spectrometry (MS). NMR is a reproducible and reliable non-destructive analytical method. On the other hand, MS has a lower detection limit and is more destructive, but it is more sensitive. NMR and MS are useful for biological fluids, such as urine, blood plasma, serum, or synovial fluid, and have been used for metabolic profiling in dogs, mice, sheep, and humans. Thus, many metabolites have been listed as possibly associated to OA pathogenesis. The goal of this review is to provide an overview of the studies in animal models and humans, regarding the use of metabolomics as a tool for early osteoarthritis diagnosis. The concept of osteoarthritis as a metabolic disease and the importance of detecting a biomarker for its early diagnosis are highlighted. Then, some studies in plasma and synovial tissues are shown, and finally the application of metabolomics in the evaluation of synovial fluid is described.


Subject(s)
Humans , Animals , Metabolomics/trends , Osteoarthritis/diagnosis , Osteoarthritis/metabolism , Biomarkers/metabolism , Early Diagnosis , Magnetic Resonance Spectroscopy/methods , Mass Spectrometry/methods , Metabolomics/methods , Osteoarthritis/physiopathology , Synovial Fluid/metabolism
15.
Braz. j. microbiol ; 47(4): 1030-1038, Oct.-Dec. 2016. tab, graf
Article in English | LILACS | ID: biblio-828208

ABSTRACT

Abstract An actinobacterial strain VL-RK_09 having potential antimicrobial activities was isolated from a mango orchard in Krishna District, Andhra Pradesh (India) and was identified as Arthrobacter kerguelensis. The strain A. kerguelensis VL-RK_09 exhibited a broad spectrum of in vitro antimicrobial activity against bacteria and fungi. Production of bioactive metabolites by the strain was the highest in modified yeast extract malt extract dextrose broth, as compared to other media tested. Lactose (1%) and peptone (0.5%) were found to be the most suitable carbon and nitrogen sources, respectively, for the optimum production of the bioactive metabolites. The maximum production of the bioactive metabolites was detected in the culture medium with an initial pH of 7, in which the strain was incubated for five days at 30 °C under shaking conditions. Screening of secondary metabolites obtained from the culture broth led to the isolation of a compound active against a wide variety of Gram-positive and negative bacteria and fungi. The structure of the first active fraction was elucidated using Fourier transform infrared spectroscopy, electrospray ionization mass spectrometry, 1H and 13C nuclear magnetic resonance spectroscopy. The compound was identified as S,S-dipropyl carbonodithioate. This study is the first report of the occurrence of this compound in the genus Arthrobacter.


Subject(s)
Arthrobacter/isolation & purification , Arthrobacter/metabolism , Mangifera/microbiology , Anti-Infective Agents/metabolism , Anti-Infective Agents/pharmacology , Salts/metabolism , Temperature , Carbon/metabolism , Microbial Sensitivity Tests , Metabolome , Metabolomics/methods , Hydrogen-Ion Concentration , Anti-Infective Agents/isolation & purification , Anti-Infective Agents/chemistry , Minerals/metabolism , Nitrogen/metabolism
16.
Braz. j. microbiol ; 47(3): 610-616, July-Sept. 2016. tab, graf
Article in English | LILACS | ID: lil-788960

ABSTRACT

ABSTRACT This study aimed to investigate the impact of nonionic surfactants on the efficacy of fluorine degradation by Polyporus sp. S133 in a liquid culture. Fluorene was observed to be degraded in its entirety by Polyporus sp. S133 subsequent to a 23-day incubation period. The fastest cell growth rate was observed in the initial 7 days in the culture that was supplemented with Tween 80. The degradation process was primarily modulated by the activity of two ligninolytic enzymes, laccase and MnP. The highest laccase activity was stimulated by the addition of Tween 80 (2443 U/L) followed by mixed surfactant (1766 U/L) and Brij 35 (1655 U/L). UV-vis spectroscopy, TLC analysis and mass spectrum analysis of samples subsequent to the degradation process in the culture medium confirmed the biotransformation of fluorene. Two metabolites, 9-fluorenol (λmax 270, tR 8.0 min and m/z 254) and protocatechuic acid (λmax 260, tR 11.3 min and m/z 370), were identified in the treated medium.


Subject(s)
Polyporus/metabolism , Fluorenes/metabolism , Solubility , Biodegradation, Environmental , Biotransformation , Biomass , Environmental Pollutants/metabolism , Metabolic Networks and Pathways , Polyporus/enzymology , Metabolome , Metabolomics/methods , Fluorenes/chemistry
17.
Clinics ; 67(4): 363-373, 2012. ilus, tab
Article in English | LILACS | ID: lil-623116

ABSTRACT

OBJECTIVES: Immunoglobulin A nephropathy is the most common cause of chronic renal failure among primary glomerulonephritis patients. The ability to diagnose immunoglobulin A nephropathy remains poor. However, renal biopsy is an inconvenient, invasive, and painful examination, and no reliable biomarkers have been developed for use in routine patient evaluations. The aims of the present study were to identify immunoglobulin A nephropathy patients, to identify useful biomarkers of immunoglobulin A nephropathy and to establish a human immunoglobulin A nephropathy metabolic profile. METHODS: Serum samples were collected from immunoglobulin A nephropathy patients who were not using immunosuppressants. A pilot study was undertaken to determine disease-specific metabolite biomarker profiles in three groups: healthy controls (N = 23), low-risk patients in whom immunoglobulin A nephropathy was confirmed as grades I-II by renal biopsy (N = 23), and high-risk patients with nephropathies of grades IV-V (N = 12). Serum samples were analyzed using proton nuclear magnetic resonance spectroscopy and by applying multivariate pattern recognition analysis for disease classification. RESULTS: Compared with the healthy controls, both the low-risk and high-risk patients had higher levels of phenylalanine, myo-Inositol, lactate, L6 lipids ( = CH-CH2-CH = O), L5 lipids (-CH2-C = O), and L3 lipids (-CH2-CH2-C = O) as well as lower levels of β -glucose, α-glucose, valine, tyrosine, phosphocholine, lysine, isoleucine, glycerolphosphocholine, glycine, glutamine, glutamate, alanine, acetate, 3-hydroxybutyrate, and 1-methylhistidine. CONCLUSIONS: These metabolites investigated in this study may serve as potential biomarkers of immunoglobulin A nephropathy. Point scoring of pattern recognition analysis was able to distinguish immunoglobulin A nephropathy patients from healthy controls. However, there were no obvious differences between the low-risk and high-risk groups in our research. These results offer new, sensitive and specific, noninvasive approaches that may be of great benefit to immunoglobulin A nephropathy patients by enabling earlier diagnosis.


Subject(s)
Adolescent , Adult , Female , Humans , Young Adult , Glomerulonephritis, IGA/diagnosis , Magnetic Resonance Spectroscopy/methods , Metabolomics/methods , Biopsy , Biomarkers/analysis , Case-Control Studies , Discriminant Analysis , Glomerulonephritis, IGA/metabolism , Glomerulonephritis, IGA/pathology , Kidney/pathology , Least-Squares Analysis , Protons , Sensitivity and Specificity
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