Notes

Aberrant appearance of WDR4 influences the particular clinical value of cancer malignancy health in pan-cancer.
Capillary electrophoresis-mass spectrometry (CE-MS) is gaining interest for metabolomics studies because of its high separation efficiency, selectivity, and versatility. The ability to inject nanoliters from only a few microliters of sample in the injection vial makes this approach very suited for volume-limited applications. However, the low injection volumes could compromise the detection sensitivity of CE-MS, thereby potentially limiting its scope in metabolomics. To overcome this issue, online sample preconcentration methods have been developed to increase sample-loading volumes without hampering the intrinsic high separation efficiency of CE. In this protocol, online preconcentration with sample stacking based on pH junction was assessed for the direct profiling of endogenous metabolites in rat brain microdialysates. Sample stacking was realized by a pre-injection of ammonium hydroxide, followed by a large sample injection (i.e., about 17% of the total capillary volume). It is shown that this relatively simple and fast preconcentration procedure is fully compatible with the high-salt concentration in microdialysates and significantly improves the detection sensitivity of the CE-MS method.Capillary electrophoresis-mass spectrometry (CE-MS) is an ideal method for analyzing various metabolites in biological samples. CE-MS can simultaneously identify and quantify hundreds of charged metabolites using only two acquisition methods for positively and negatively charged metabolites. Furthermore, CE-MS is commonly used for analyzing biological samples to understand the pathology of diseases at the metabolic level and biofluid samples, such as blood and urine, to explore biomarkers. Here, we introduce a protocol that delineates the handling of clinical samples to ensure that the CE-MS analysis yields reproducible quantified data. We have focused on sample collection, storage, processing, and measurement. Although the implementation of rigorous standard operating protocols is preferred for enhancing the quality of the samples, various limitations in an actual clinical setting make it difficult to adhere to strict rules. Therefore, the effect of each process on the quantified metabolites needs to be evaluated to design a protocol with acceptable tolerances. Furthermore, quality controls and assessments to handle clinical samples are introduced.Human diseases account for complex traits that usually exhibit markedly diverse clinical manifestations coming from a series of pathogenic processes that shape heterogeneous phenotypes. Considering that correlation does not imply causation as well as population differences and/or inter-individual variability, disease-specific signatures are becoming critical for biomarker discovery. Untargeted metabolomics is deemed to be a powerful approach to delineate molecular pathways of prime interest. Metabotypes capture the interplay of genomics and environmental influences per se. Untargeted metabolomics share the charm of being not only hypothesis-driven but also hypothesis-generating. Notwithstanding, the applicability of untargeted metabolomics toward clinically relevant outcomes depend on wet- and dry-lab procedures in the context of elegant study designs with clear rationale. As ideal may be far from feasible, herein we provide recommendations to combat sample mishandling that adversely affect data outcomes and if so, deal with imbalanced datasets toward data integrity.Metabolomics, alone or in combination with other omics sciences, has shown great relevance in a large number of investigations in different branches of biomedicine, often providing novel discoveries and helping to expand the knowledge. Metabolomics analyses are carried out using different techniques, but in this chapter, we focus on liquid chromatography coupled to high-resolution mass spectrometry. The designated methodology consists of an untargeted approach for the analysis of plasma samples. The use of this method, with a reverse-phase column and electrospray ionization in positive mode, covers the detection of a broad range of metabolites, mainly of nonpolar and of intermediate polarity. This chapter also reviews the mass fragmentation spectra for the identification of bile acids, acylcarnitines, and glycerophospholipids.This methodological work demonstrates the potential of metabolomic approaches based on liquid chromatography coupled to high-resolution mass spectrometry (LC-ESI(+/-)-HRMS) to investigate the antiproliferative capacity of underexplored biomasses (e.g., Passiflora mollissima seeds and Physalys peruviana calyx), by evaluating the molecular changes induced at the metabolite expression levels on HT-29 human colon cancer cells. This protocol describes in detail the optimal conditions to obtain bioactive extracts by pressurized liquid extraction (PLE), the experimental procedure to grow and treat HT-29 human colon cancer cells and CCD-18Co normal human colon fibroblasts with the target extracts, the metabolites extraction from the cytosolic fraction, and subsequent metabolomic fingerprinting. After treatment for 48 and 72 h, the viability of HT-29 colon cancer cells is markedly affected, and metabolites can be extracted for investigation. Following the proposed metabolomic data analysis and interpretation workflow, altered cellular redox homeostasis, as well as inactivation or dysfunction on other metabolic pathways, constitutes valuable biological information to understand the mechanisms underlying the antiproliferative effect.Due to the high impact of diet exposure on health, it is crucial the generation of robust data of regular dietary intake, hence improving the accuracy of dietary assessment. The metabolites derived from individual food or group of food have great potential to become biomarkers of food intake (BFIs) and provide more objective food consumption measurements.Herein, it is presented an untargeted metabolomic workflow for the discovery BFIs in blood and urine samples, from the study design to the biomarker identification. Samples are analyzed by liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS). A wide variety of compounds are covered by separate analyses of medium to nonpolar molecules and polar metabolites based on two LC separations as well as both positive and negative electrospray ionization. The main steps of data treatment of the comprehensive data sets and statistical analysis are described, as well as the principal considerations for the BFI identification.Stir bar sorptive extraction (SBSE) is a rapid, sensitive, precise, and environmentally friendly extraction technique that, coupled to gas chromatography-mass spectrometry detection (GC-MS), enables the simple determination of volatile organic compounds in liquid samples. The present protocol describes the procedure for the determination of volatile compounds in vinegar by means of SBSE-GC-MS.Solid-phase microextraction (SPME) is an easy, sensitive, and environmentally friendly technique that has been employed, coupled to gas chromatography or liquid chromatography, to determine a huge amount of analytes with different volatilities. The present work describes the procedure to follow in order to determine volatile compounds in vinegar by SPME-GC-MS.Accurate, robust, and wide-coverage analytical tools are needed in polyphenol research to deal with the high physicochemical complexity of the secondary plant metabolome. In this chapter, a novel method based on reversed-phase ultrahigh-performance liquid chromatography coupled with a diode array detector and mass spectrometry is presented, which enables high-throughput, comprehensive, and quantitative fingerprinting of a broad spectrum of phenolic compounds and related metabolites in different food products. The simplicity, low-cost, and excellent analytical performance of this method would facilitate its implementation in food science for quality control and authenticity purposes.
Ribociclib plus letrozole demonstrated manageable safety and efficacy profiles in hormone receptor-positive (HR+), human epidermal growth factor receptor-2-negative (HER2-) advanced breast cancer (ABC) inthe Phase 3b CompLEEment-1 trial.

To evaluate the safety and efficacy of ribociclib plus letrozole in the Italian subpopulation with HR+, HER2- ABC fromthe CompLEEment-1 trial.

Patients with HR+, HER2- ABC received ribociclib (600 mg/day, 3 weeks on/1 week off) plus letrozole (2.5 mg/day) while men and premenopausal women additionally received goserelin. Patients were allowed with ≤1 line of prior chemotherapy and an Eastern Cooperative Oncology Group performance status of ≤2. The primary outcome included safety and tolerability.

Of the 554 Italian patients, 246 (44.4 %) patients completed treatment. The reasons for treatment discontinuation included progressive disease (PD; 36.6 %), adverse events (AEs; 11.9 %), and death (1.6 %). All-grade AEs and grade ≥3 AEs occurred in 98.9 % and 77.8 % patients, respectively. The most common treatment-related AEs were neutropenia (73.6 %), followed by leukopenia (32.1 %), and nausea (25.3 %). The overall response rate was 28.2 % (95 % confidence interval [CI], 24.4-32.1); clinical benefit rate was 71.7 % (95 % CI, 67.7-75.4); and median time to progression was 26.7 months (95 % CI, 24.8-non-estimable). Health-related quality of life scores were maintained during treatment.

The safety and efficacy profiles of ribociclib plus letrozole in the Italian subpopulation was found to be consistent with the CompLEEment-1 global population result, MONALEESA-2, and MONALEESA-7 outcomes, which reaffirm ribociclib plus letrozole as the frontline treatment option in patients with HR+, HER2- ABC.

NCT02941926 (30 November 2016).
NCT02941926 (30 November 2016).Sleep serves important biological functions, and influences health and longevity through endocrine and metabolic related systems. Sleep debt, circadian misalignment and sleep disruption from obstructive sleep apnea is widespread in modern society and accumulates with life because recovery sleep is not completely restorative. Accumulated disordered sleep throughout life impacts the ageing process and the development of age-related diseases. When epidemiological and interventional studies are considered collectively, sleep loss and lower sleep duration are associated with lower morning, afternoon and 24-h testosterone; as well as higher afternoon, but not morning or 24-h cortisol. These reciprocal changes imbalances anabolic-catabolic signaling because testosterone and cortisol are respectively the main anabolic and catabolic signals in man. Fixing testosterone-cortisol balance by means of a novel dual-hormone clamp mitigates the induction of insulin resistance by sleep restriction and provided the first proof-of-concept that the metabolic harm from sleep loss can be ameliorated by approaches that do not require sleeping more. Obstructive sleep apnea is associated with lower testosterone, even after controlling for age and obesity whereas the conclusion that continuous positive airway pressure therapy has no effect on testosterone is premature because available studies are underpowered and better-quality studies suggest otherwise. High dose testosterone therapy induces OSA, but more physiological dosing may not; and this effect may be transient or may dissipate with longer term therapy. selleck Studies investigating the origin of the diurnal testosterone rhythm, the effect of circadian misalignment on testosterone-cortisol balance, and methods to mitigate metabolic harm, are required.
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