Carbon metabolism of intracellular bacterial pathogens and possible links to virulence DOI
Wolfgang Eisenreich, Thomas Dandekar,

Jürgen Heesemann

et al.

Nature Reviews Microbiology, Journal Year: 2010, Volume and Issue: 8(6), P. 401 - 412

Published: May 10, 2010

Language: Английский

Tunable lifetime multiplexing using luminescent nanocrystals DOI
Yiqing Lu, Jiangbo Zhao, Run Zhang

et al.

Nature Photonics, Journal Year: 2013, Volume and Issue: 8(1), P. 32 - 36

Published: Dec. 13, 2013

Language: Английский

Citations

728

Intestinal microbiota in human health and disease: the impact of probiotics DOI Creative Commons
Jacoline Gerritsen, Hauke Smidt, Ger T. Rijkers

et al.

Genes & Nutrition, Journal Year: 2011, Volume and Issue: 6(3), P. 209 - 240

Published: May 26, 2011

The complex communities of microorganisms that colonise the human gastrointestinal tract play an important role in health. development culture-independent molecular techniques has provided new insights composition and diversity intestinal microbiota. Here, we summarise present state art on microbiota with specific attention for application high-throughput functional microbiomic approaches to determine contribution Moreover, review association between dysbiosis both extra-intestinal diseases. Finally, discuss potential probiotic microorganism modulate thereby contribute health well-being. effects consumption are addressed, as well tailor-made probiotics designed aberrations associated microbial dysbiosis.

Language: Английский

Citations

677

Stool Microbiome and Metabolome Differences between Colorectal Cancer Patients and Healthy Adults DOI Creative Commons
Tiffany L. Weir, Daniel K. Manter, Amy M. Sheflin

et al.

PLoS ONE, Journal Year: 2013, Volume and Issue: 8(8), P. e70803 - e70803

Published: Aug. 6, 2013

In this study we used stool profiling to identify intestinal bacteria and metabolites that are differentially represented in humans with colorectal cancer (CRC) compared healthy controls how microbial functions may influence CRC development. Stool samples were collected from adults (n = 10) patients 11) prior colon resection surgery at the University of Colorado Health-Poudre Valley Hospital Fort Collins, CO. The V4 region 16s rRNA gene was pyrosequenced both short chain fatty acids global extracted analyzed utilizing Gas Chromatography-Mass Spectrometry (GC-MS). There no significant differences overall community structure associated disease state, but several bacterial genera, particularly butyrate-producing species, under-represented samples, while a mucin-degrading Akkermansia muciniphila, about 4-fold higher (p<0.01). Proportionately amounts butyrate seen individuals relative concentrations acetate stools patients. GC-MS revealed amino poly monounsaturated ursodeoxycholic acid, conjugated bile acid Correlative analysis between combined datasets some potential relationships certain species. These associations could provide insight into occurring environment will help direct future mechanistic studies. Using integrated "omics" approaches prove useful tool identifying functional groups gastrointestinal their as novel therapeutic chemopreventive targets.

Language: Английский

Citations

602

Chemometrics in metabolomics—A review in human disease diagnosis DOI
Rasmus Bødker Madsen,

Torbjörn Lundstedt,

Johan Trygg

et al.

Analytica Chimica Acta, Journal Year: 2009, Volume and Issue: 659(1-2), P. 23 - 33

Published: Nov. 24, 2009

Language: Английский

Citations

544

High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism DOI

Pasi Soininen,

Antti J. Kangas, Peter Würtz

et al.

The Analyst, Journal Year: 2009, Volume and Issue: 134(9), P. 1781 - 1781

Published: Jan. 1, 2009

A high-throughput proton (1H) nuclear magnetic resonance (NMR) metabonomics approach is introduced to characterise systemic metabolic phenotypes. The methodology combines two molecular windows that contain the majority of information available by 1H NMR from native serum, e.g. serum lipids, lipoprotein subclasses as well various low-molecular-weight metabolites. experimentation robotics-controlled and fully automated with a capacity about 150-180 samples in 24 h. To best our knowledge, presented set-up unique sense experimental high-throughput, cost-effectiveness, multi-metabolic data analyses. As an example, we demonstrate such reveal associations between phenotypes syndrome (n = 4407). up 50,000 per year also paving way for this technology large-scale clinical epidemiological studies. In contradiction single 'biomarkers', application holistic integrated computational methods provides data-driven systems biology biomedical research.

Language: Английский

Citations

536

Current approaches and challenges for the metabolite profiling of complex natural extracts DOI
Jean‐Luc Wolfender, Guillaume Marti, Aurélien Thomas

et al.

Journal of Chromatography A, Journal Year: 2014, Volume and Issue: 1382, P. 136 - 164

Published: Oct. 31, 2014

Language: Английский

Citations

508

Metabolic fate of polyphenols in the human superorganism DOI Open Access
John van Duynhoven, Elaine E. Vaughan,

Doris M. Jacobs

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2010, Volume and Issue: 108(supplement_1), P. 4531 - 4538

Published: June 25, 2010

Dietary polyphenols are components of many foods such as tea, fruit, and vegetables associated with several beneficial health effects although, so far, largely based on epidemiological studies. The intact forms complex dietary have limited bioavailability, low circulating levels in plasma. A major part the persists colon, where resident microbiota produce metabolites that can undergo further metabolism upon entering systemic circulation. Unraveling metabolic fate this human superorganism requires joint deployment vitro humanized mouse models intervention trials. Within these systems, variation diversity functionality colonic increasingly be captured by rapidly developing microbiomics metabolomics technologies. Furthermore, is coming to grips large biological superimposed relatively subtle interventions. In particular when deployed conjunction a longitudinal study design, quantitative nutrikinetic signatures obtained. These used define nutritional phenotypes different kinetic characteristics for bioconversion capacity polyphenols. Bottom-up well top-down approaches need pursued link gut microbial and, ultimately, bioactivity This approach will pave way personalization nutrition individuals or populations.

Language: Английский

Citations

507

Liquid chromatography–mass spectrometry based global metabolite profiling: A review DOI
Georgios Theodoridis, Helen Gika, Elizabeth J. Want

et al.

Analytica Chimica Acta, Journal Year: 2011, Volume and Issue: 711, P. 7 - 16

Published: Nov. 6, 2011

Language: Английский

Citations

498

Metabolic phenotyping in clinical and surgical environments DOI
Jeremy K. Nicholson, Elaine Holmes, James Kinross

et al.

Nature, Journal Year: 2012, Volume and Issue: 491(7424), P. 384 - 392

Published: Nov. 13, 2012

Language: Английский

Citations

495

LC‐MS Data Processing with MAVEN: A Metabolomic Analysis and Visualization Engine DOI
Michelle Clasquin, Eugene Melamud, Joshua D. Rabinowitz

et al.

Current Protocols in Bioinformatics, Journal Year: 2012, Volume and Issue: 37(1)

Published: March 1, 2012

MAVEN is an open-source software program for interactive processing of LC-MS-based metabolomics data. enables rapid and reliable metabolite quantitation from multiple reaction monitoring data or high-resolution full-scan mass spectrometry It automatically detects reports peak intensities isotope-labeled metabolites. Menu-driven, click-based navigation allows visualization raw analyzed Here we provide a User Guide MAVEN. Step-by-step instructions are provided import, alignment across samples, identification metabolites that differ strongly between biological conditions, isotope-labeling patterns, export tables metabolite-specific intensities. Together, these describe workflow efficient LC-MS into form ready analysis.

Language: Английский

Citations

490