Protein set analyses: how could this impact the clinic?

Sauer, Sascha

doi:10.1586/14789450.2013.814883

Cited by 6 publications

(4 citation statements)

References 21 publications

(23 reference statements)

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“…Recently, transcriptome and in particular proteome and metabolome data gained from rosiglitazone-treated cell and mouse models have provided valuable information on potential side effects such as cardiovascular implications of rosiglitazone treatment in diabetic mice [97][98][99]. Advanced omics methodologies might thus become powerful predictive tools to select early on the most likely safe and efficient candidates for clinical development [100]. Furthermore, it is known that about a quarter of patients are non-responders to TZDs, while an equal number showed a large response [101].…”

Section: Discussionmentioning

confidence: 99%

Ligands for the Nuclear Peroxisome Proliferator-Activated Receptor Gamma

Sauer

2015

Trends in Pharmacological Sciences

100

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Nuclear receptors are ligand-activated transcription factors, which represent a primary class of drug targets. The nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) is a key player in various biological processes. PPARγ is widely known as the target protein of the thiazolidinediones for treating type 2 diabetes. Moreover, PPARγ ligands can induce anti-inflammatory and potentially additional beneficial effects. Recent mechanistic insights of PPARγ modulation give hope the next generation of efficient PPARγ-based drugs with fewer side effects can be developed. Furthermore, chemical approaches that make use of synergistic action of combinatorial ligands are promising alternatives for providing tailored medicine. Lessons learned from fine-tuning the action of PPARγ can provide avenues for efficient molecular intervention via many other nuclear receptors to combat common diseases.

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Section: Discussionmentioning

confidence: 99%

Ligands for the Nuclear Peroxisome Proliferator-Activated Receptor Gamma

Sauer

2015

Trends in Pharmacological Sciences

100

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“…But the detected levels of metabolites as ATP in heart tissue were indeed lowered, indicating physiological deregulation of oxidative phosphorylation. Instead of relying on single or few markers, these data may argue for increased information content of ensembles of proteins, which can be used as profiles for robust diagnostic applications .…”

Section: Protein and Peptide Based Biomarkersmentioning

confidence: 99%

“…As in single cell transcriptomics or single cell metabolomics , single cell proteomics can increase information on co‐ or anticorrelated proteins. This information can be used to accurately build protein sets and networks to adequately understand the impact of nutrition on human physiology .…”

Section: Protein and Peptide Based Biomarkersmentioning

confidence: 99%

Nutriproteomics: Facts, concepts, and perspectives

Sauer

Luge

2015

Proteomics

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Nutrition is a basic component of life. Nowadays, human nutrition research focuses amongst others on health-related aspects of food ingredients and extracts, and on analyzing the outcomes of specific diets. Usually, food ingredients such as bioactive peptides come in complex matrices. Single compounds, multiple interactions thereof and the underlying food matrix can vary physiological response of the organism. Proteins and peptides derived from food and beverages can cause adverse allergic reactions but are in general required for multiple functions such as growth and homeostatic regulation. Endogenously expressed human proteins and peptides can be used as biomarkers to monitor physiological deregulation and the effects of food consumption. The intestinal microbiome seems to play a fundamental role in establishing and maintaining physiological regulation and in digesting proteins and peptides and other biomolecules derived from food. Notably, the subtle interplay of flavor naturals in food and beverages with olfactory receptors can result in establishing human taste preferences, which again influences overall physiology. This article presents basic approaches and concepts to address scientific questions in nutritional proteomics and discusses potential benefits of proteomics-based methodologies to help advance the field of molecular nutrition research.

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“…However, complexity may in particular arise from causality structures , which cannot be easily deduced from the “parts of the sum” of single molecules and mechanistic interaction of a few key players. It seems that network‐based interaction of molecules results in the important redundancy, plasticity and flexibility of biological systems including homeostatic regulation of the proteome, which would otherwise be too vulnerable to environmental perturbation or stochastic events .…”

mentioning

confidence: 99%

Diagnostic Proteomics: Will this impact the clinic?

Sauer

2013

Proteomics Clinical Apps

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Protein set analyses: how could this impact the clinic?

Cited by 6 publications

References 21 publications

Ligands for the Nuclear Peroxisome Proliferator-Activated Receptor Gamma

Ligands for the Nuclear Peroxisome Proliferator-Activated Receptor Gamma

Nutriproteomics: Facts, concepts, and perspectives

Diagnostic Proteomics: Will this impact the clinic?

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