Time-dependent shotgun proteomics revealed distinct effects of an organoruthenium prodrug and its activation product on colon carcinoma cellsThe unravelling of target interactions in cancer cells is a crucial process for identifying promising metal-based anticancer agents. Therefore, target profiles were analysed in a time-dependent manner using proteomics techniques by accounting for the hydrolysis kinetics of plecstatin, an organometallic ruthenium(arene) derivative. While the intact prodrug provoked a cytoprotective integrated stress response, which was further verified by gene expression studies, the activated species was responsible for the target engagement with plectin, the previously validated protein target. As featured in:ISSN 1756-591X Activation kinetics of metallo-prodrugs control the types of possible interactions with biomolecules. The intact metallo-prodrug is able to engage with potential targets by purely non-covalent bonding, while the activated metallodrug can form additional coordination bonds. It is hypothesized that the additional coordinative bonding might be favourable with respect to the target selectivity of activated metallodrugs. Thus, a time-dependent shotgun proteomics study was conducted in HCT116 colon carcinoma cells with plecstatins, which are organoruthenium anticancer drug candidates. First, the target selectivity was evaluated in a time-dependent fashion, which accounted for their hydrolysis kinetics. The binding selectivity increased from 50-to 160-fold and the average specificity from 0.72 to 0.86, respectively, from the 2 h to the 4 h target profiling experiment. Target profiling after 19 h did not reveal significant enrichments, possibly due to deactivation of the probe via arene cleavage. Up to 450 interactors were identified in the target profiling experiments. A plecstatin analogue that substituted a hydrogen bond acceptor with a hydrogen bond donor abrogated the target selectivity for plectin in HCT116 whole cell lysates, underlining the necessity of this hydrogen bond acceptor for a strong interaction between plecstatin and plectin. Second, time-dependent response profiling experiments provided evidence that plecstatin-2 induced an integrated stress response (ISR) in HCT116 cell culture. The phosphorylation of eIF2a, a key mediator of the ISR, after 3 h treatment indicated that this perturbation was initiated by the intact plecstatin-2 prodrug, while the effects of plectin-targeting are mediated by activated plecstatin-2. Significance to metallomicsCell-level investigations of metallodrugs by shotgun proteomics are still scarce despite the evident advantages of these methods. We performed time-dependent target profiling experiments with organoruthenium-based plecstatins in cell lysates of HCT116 colon carcinoma cells. The changes in target selectivity over time correlated with the activation status of the metallo-prodrug. The target engagement of the plecstatins was tested by substituting a hydrogen bond acceptor with a hydrogen bond donor, which abrogated the plect...
Pathophysiologies of cancer-associated syndromes such as cachexia are poorly understood and no routine biomarkers have been established, yet. Using shotgun proteomics, known marker molecules including PMEL, CRP, SAA, and CSPG4 were found deregulated in patients with metastatic melanoma. Targeted analysis of 58 selected proteins with multiple reaction monitoring was applied for independent data verification. In three patients, two of which suffered from cachexia, a tissue damage signature was determined, consisting of nine proteins, PLTP, CD14, TIMP1, S10A8, S10A9, GP1BA, PTPRJ, CD44, and C4A, as well as increased levels of glycine and asparagine, and decreased levels of polyunsaturated phosphatidylcholine concentrations, as determined by targeted metabolomics. Remarkably, these molecules are known to be involved in key processes of cancer cachexia. Based on these results, we propose a model how metastatic melanoma may lead to reprogramming of organ functions via formation of platelet activating factors from long-chain polyunsaturated phosphatidylcholines under oxidative conditions and via systemic induction of intracellular calcium mobilization. Calcium mobilization in platelets was demonstrated to alter levels of several of these marker molecules. Additionally, platelets from melanoma patients proved to be in a rather exhausted state, and platelet-derived eicosanoids implicated in tumor growth were found massively increased in blood from three melanoma patients. Platelets were thus identified Serum is the most important diagnostic sample type because of its minimal invasive access, a relatively high stability and its comprehensive representation of the physiological state of an individual. The latest technological development of mass spectrometric instruments, such as high resolution orbitrap instruments, improved substantially the quality and reliability of serum proteomics data (1). Shotgun proteomics analysis using the orbitrap technology is mainly applied for protein screening purposes (2). This method allows performing untargeted analyses, applicable for hypothesis-generating clinical applications. Targeted proteomics using triple-quadrupole mass spectrometric instruments, represents a complementary approach which is applied for protein quantification, hypotheses verification and validation (3). Enormous efforts have been invested in the last decades focusing on serum biomarker discovery (4). However, mass spectrometrybased proteomics analyses hardly managed to cope with biological variation. As a consequence, almost no clinically validated biomarker has emerged from these investigations yet, and a lot of questions about pathophysiological mechanisms remain unanswered.Using mass spectrometry-based proteomics, we have previously investigated melanoma and neighboring stroma cells, focusing on the identification of biomarkers associated with intrinsic and extrinsic drug resistance (5). In the present article, we followed the question how metastatic melanoma may reprogram distant organ functions, and how these...
The epithelial to mesenchymal transition (EMT) program is activated in epithelial cancer cells and facilitates their ability to metastasize based on enhanced migratory, proliferative, anti-apoptotic, and pluripotent capacities. Given the fundamental impact of sphingolipid machinery to each individual process, the sphingolipid-related mechanisms might be considered among the most prominent drivers/players of EMT; yet, there is still limited knowledge. Given the complexity of the interconnected sphingolipid system, which includes distinct sphingolipid mediators, their synthesizing enzymes, receptors and transporters, we herein apply an integrative approach for assessment of the sphingolipid-associated mechanisms underlying EMT program. We created the sphingolipid-/EMT-relevant 41-gene/23-gene signatures which were applied to denote transcriptional events in a lung cancer cell-based EMT model. Based on defined 35-gene sphingolipid/EMT-attributed signature of regulated genes, we show close associations between EMT markers, genes comprising the sphingolipid network at multiple levels and encoding sphingosine 1-phosphate (S1P)-/ceramide-metabolizing enzymes, S1P and lysophosphatidic acid (LPA) receptors and S1P transporters, pluripotency genes and inflammation-related molecules, and demonstrate the underlying biological pathways and regulators. Mass spectrometry-based sphingolipid analysis revealed an EMT-attributed shift towards increased S1P and LPA accompanied by reduced ceramide levels. Notably, using transcriptomics data across various cell-based perturbations and neoplastic tissues (24193 arrays), we identified the sphingolipid/EMT signature primarily in lung adenocarcinoma tissues; besides, bladder, colorectal and prostate cancers were among the top-ranked. The findings also highlight novel regulatory associations between influenza virus and the sphingolipid/EMT-associated mechanisms. In sum, data propose the multidimensional contribution of sphingolipid machinery to pathological EMT and may yield new biomarkers and therapeutic targets.
Chemometric methods and correlation of spectroscopic or spectrometric data with bioactivity results are known to improve dereplication in classical bio-guided isolation approaches. However, in drug discovery from natural sources the isolation of bioactive constituents from a crude extract containing close structural analogues remains a significant challenge. This study is a 1 H NMR-MS workflow named ELINA ( Eli citing N ature’s A ctivities) which is based on statistical heterocovariance analysis (HetCA) of 1 H NMR spectra detecting chemical features that are positively (“hot”) or negatively (“cold”) correlated with bioactivity prior to any isolation. ELINA is exemplified in the discovery of steroid sulfatase (STS) inhibiting lanostane triterpenes (LTTs) from a complex extract of the polypore fungus Fomitopsis pinicola .
In this study a robust, whole organism screening based on Caenorhabditis elegans is presented for the discovery of natural products (NP) with beneficial effects against obesity and age-related diseases. Several parameters of the elaborated workflow were optimized to be adapted for probing multicomponent mixtures combining knowledge from traditional medicine and np chemistry by generating optimized small-scale extracts considering scarcity of the natural source, solubility issues, and potential assay interferences. The established miniaturized assay protocol allows for in vivo probing of small amounts of even complex samples (~ 1 mg) to test their ability to increase the nematodes' survival time and the suppression of fat accumulation assessed by nile red staining as hall marks of "healthy aging". The workflow was applied on 24 herbal and fungal materials traditionally used against symptoms of the metabolic syndrome and revealed promising results for the extracts of Gardenia jasminoides fruits and the sclerotia from Inonotus obliquus. Tested at 100 µg/mL they were able to significantly reduce the Nile red fluorescence and extend the 50% survival rate (DT 50) compared to the control groups. This phenotype-directed in vivo approach opens up new horizons for the selection of natural starting materials and the investigation of their active principles as fast drug discovery tool with predictive value for human diseases. Caenorhabditis elegans (Maupas, 1900), a 1 mm sized roundworm, is a popular model organism in almost all areas of modern biology. It can be maintained at low cost, has a short reproductive cycle of three days with a large brood size of 300 progenies per hermaphrodite worm and a transparent body comprising exactly 959 somatic cells 1. In recent years it has been increasingly used as a model organism for drug screenings 2-7. The fundamental idea behind is that basic molecular processes which are causal for the development of diseases including aging processes are conserved in the animal kingdom. Indeed C. elegans shares many similarities with humans such as autophagy, mitochondrial regulation, apoptosis, proteostasis, energy control, fat-storage, stress response systems and neuronal regeneration 8-16. A recent meta-analysis estimated that 41.7% of the protein-coding genes in C. elegans have orthologs in humans 17. In this light, screening for substances beneficial to a disease phenotype in C. elegans can have important predictive value also for human diseases 18, 19. The simplicity and tractability of the worm compared to classical mammal models represents a large advantage. Its small size makes it amenable to whole organism screening in microtiter plates for medium/high-throughput screening with little consumption of materials and sample 20. This possibility is particularly helpful for drug discovery from natural sources, which is often impeded by scarcity of natural starting materials, and even more relevant for their isolates which require tedious isolation or synthesizing efforts 21-24. There is an in...
The antiemetic and gastroprokinetic drug metoclopramide is a weak substrate of the blood-brain barrier (BBB) efflux transporter P-gp and displays central nervous system (CNS) side effects (extrapyramidal symptoms, tardive dyskinesia), which occur with a higher incidence in elderly people. WHAT QUESTION DID THIS STUDY ADDRESS? We performed [ 11 C]metoclopramide positron emission tomography scans in young and elderly healthy men, both after administration of a microdose and therapeutic dose of metoclopramide, to investigate whether differences in brain distribution of metoclopramide may explain its CNS side effects.
During inflammation, proteins and lipids act in a concerted fashion, calling for combined analyses. Fibroblasts are powerful mediators of chronic inflammation. However, little is known about eicosanoid formation by human fibroblasts. The aim of this study was to analyze the formation of the most relevant inflammation mediators including proteins and lipids in human fibroblasts upon inflammatory stimulation and subsequent treatment with dexamethasone, a powerful antiphlogistic drug. Label-free quantification was applied for proteome profiling, while an in-house established data-dependent analysis method based on high-resolution mass spectrometry was applied for eicosadomics. Furthermore, a set of 188 metabolites was determined by targeted analysis. The secretion of 40 proteins including cytokines, proteases, and other inflammation agonists as well as 14 proinflammatory and nine anti-inflammatory eicosanoids was found significantly induced, while several acylcarnithins and sphingomyelins were found significantly downregulated upon inflammatory stimulation. Treatment with dexamethasone downregulated most cytokines and proteases, abrogated the formation of pro- but also anti-inflammatory eicosanoids, and restored normal levels of acylcarnithins but not of sphingomyelins. In addition, the chemokines CXCL1, CXCL5, CXCL6, and complement C3, known to contribute to chronic inflammation, were not counter-regulated by dexamethasone. Similar findings were obtained with human mesenchymal stem cells, and results were confirmed by targeted analysis with multiple reaction monitoring. Comparative proteome profiling regarding other cells demonstrated cell-type-specific synthesis of, among others, eicosanoid-forming enzymes as well as relevant transcription factors, allowing us to better understand cell-type-specific regulation of inflammation mediators and shedding new light on the role of fibroblasts in chronic inflammation.
Ruling out age, sex, coffee consumption habits, the metabolic kinetics of caffeine in blood and the individual amount of regulatory T cells or CD39 expression as predictive parameters, we demonstrated here that coffee consumption may have significant pro- or anti-inflammatory effects in an individual fashion.
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