scholarly journals Personalized Metabolic Profile by Synergic Use of NMR and HRMS

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4167
Author(s):  
Greta Petrella ◽  
Camilla Montesano ◽  
Sara Lentini ◽  
Giorgia Ciufolini ◽  
Domitilla Vanni ◽  
...  

A new strategy that takes advantage of the synergism between NMR and UHPLC–HRMS yields accurate concentrations of a high number of compounds in biofluids to delineate a personalized metabolic profile (SYNHMET). Metabolite identification and quantification by this method result in a higher accuracy compared to the use of the two techniques separately, even in urine, one of the most challenging biofluids to characterize due to its complexity and variability. We quantified a total of 165 metabolites in the urine of healthy subjects, patients with chronic cystitis, and patients with bladder cancer, with a minimum number of missing values. This result was achieved without the use of analytical standards and calibration curves. A patient’s personalized profile can be mapped out from the final dataset’s concentrations by comparing them with known normal ranges. This detailed picture has potential applications in clinical practice to monitor a patient’s health status and disease progression.

2021 ◽  
Author(s):  
Greta Petrella ◽  
Camilla Montesano ◽  
Sara Lentini ◽  
Giorgia Ciufolini ◽  
Domitilla Vanni ◽  
...  

Abstract A new strategy that takes advantage of the synergism between NMR and LC-HRMS (SYNHMET), and that allows to obtain a unique list of the absolute concentrations of 164 metabolites in urine, is presented. Metabolite identification and quantification by this method in one of the most difficult biofluids to characterize, due to complexity and variability, is more accurate than what can be obtained using the two techniques separately. This result is achieved without the need for chemical reactions to cross-check the data between the two types of spectra, nor the use of analytical standards and calibration curves. The fact that the absolute rather than relative concentration is obtained allows the final dataset to be used to determine a patient's personalized profile. The number of quantifiable metabolites by the application of this method can be expanded in the future with further analysis. We will illustrate the use of SYNHMET in the study of urine samples from healthy subjects, patients with chronic cystitis and bladder cancer.


Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Pol Castellano-Escuder ◽  
Raúl González-Domínguez ◽  
David S Wishart ◽  
Cristina Andrés-Lacueva ◽  
Alex Sánchez-Pla

Abstract Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration. To manage this challenge, we have developed a novel ontology that describes food and their associated metabolite entities in a hierarchical way. This ontology uses a formal naming system, category definitions, properties and relations between both types of data. The ontology presented is called FOBI (Food-Biomarker Ontology) and it is composed of two interconnected sub-ontologies. One is a ’Food Ontology’ consisting of raw foods and ‘multi-component foods’ while the second is a ‘Biomarker Ontology’ containing food intake biomarkers classified by their chemical classes. These two sub-ontologies are conceptually independent but interconnected by different properties. This allows data and information regarding foods and food biomarkers to be visualized in a bidirectional way, going from metabolomics to nutritional data or vice versa. Potential applications of this ontology include the annotation of foods and biomarkers using a well-defined and consistent nomenclature, the standardized reporting of metabolomics workflows (e.g. metabolite identification, experimental design) or the application of different enrichment analysis approaches to analyze nutrimetabolomic data. Availability: FOBI is freely available in both OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) formats at the project’s Github repository (https://github.com/pcastellanoescuder/FoodBiomarkerOntology) and FOBI visualization tool is available in https://polcastellano.shinyapps.io/FOBI_Visualization_Tool/.


2019 ◽  
Vol 20 (12) ◽  
pp. 3105 ◽  
Author(s):  
Marta Torres-Torrillas ◽  
Monica Rubio ◽  
Elena Damia ◽  
Belen Cuervo ◽  
Ayla del Romero ◽  
...  

Chronic musculoskeletal (MSK) pain is one of the most common medical complaints worldwide and musculoskeletal injuries have an enormous social and economical impact. Current pharmacological and surgical treatments aim to relief pain and restore function; however, unsatiscactory outcomes are commonly reported. In order to find an accurate treatment to such pathologies, over the last years, there has been a significantly increasing interest in cellular therapies, such as adipose-derived mesenchymal stem cells (AMSCs). These cells represent a relatively new strategy in regenerative medicine, with many potential applications, especially regarding MSK disorders, and preclinical and clinical studies have demonstrated their efficacy in muscle, tendon, bone and cartilage regeneration. Nevertheless, several worries about their safety and side effects at long-term remain unsolved. This article aims to review the current state of AMSCs therapy in the treatment of several MSK diseases and their clinical applications in veterinary and human medicine.


RSC Advances ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 4015-4027 ◽  
Author(s):  
Baimei Shi ◽  
Lingjian Yang ◽  
Tian Gao ◽  
Cuicui Ma ◽  
Qiannan Li ◽  
...  

We revealed the metabolic profile of bornyl caffeate by HPLC-Q-TOF/MS, and then simultaneously examined the pharmacokinetics of bornyl caffeate and CA after administration of a single dose of bornyl caffeate by HPLC ion trap MS.


2021 ◽  
Author(s):  
Sathees Lingam Paulswamy ◽  
A.Andrew Roobert ◽  
K. Hariharan

Abstract Coverage of the bounded region gets importance in Wireless Sensor Network (WSN). Area coverage is based on effective surface coverage with a minimum number of sensor nodes. Most of the researchers contemplate the coverage region of interest as a square and manifest the radio ranges as a circle. The area of a circle is much higher than the area of a square because of the perimeter. To utilize the advantage of the circle, the coverage region of interest is presumed as a circle for sensor node deployment. This paper proposes a novel coverage improved disc shape deployment strategy. Comparative analysis has been observed between circle and square regions of interest based on the cumulative number of sensor nodes required to cover the entire region. A new strategy named as disc shape deployment strategy is also proposed. Traditional hexagon and strip-based deployment strategies are compared with the disc shape deployment strategy. The simulation result shows that the circle shape coverage region of interest extremely reduces the required number of sensor nodes. The proposed deployment strategy provides desirable coverage, and it requires few more sensor nodes than hexagon shape deployment strategy.


Detritus ◽  
2021 ◽  
pp. 30-41 ◽  
Author(s):  
Pierre Hennebert ◽  
Giovanni Beggio

This paper elucidates the theoretical principles behind the calculation of the size of a representative sample of granular solid waste. The key concept is the number of particles that must be present in a sub-portion of matter to be representative of a larger portion of matter. This depends on the fraction of particles in the waste batch showing the properties of interest, which shall be measured. A representative sample must include a fraction of particles of interest reliably similar to that of the waste batch to be characterized, with a controlled variability. In this context, it is demonstrated that the number of particles of interest that must be collected in a representative sample is 100. From this requirement, the mass of a representative sample can be calculated based on the knowledge of the frequency of particles of interest of the waste lot to be characterized. Data on particles concentrations in different samples of WEEE plastic scraps exemplifies how the presence in the sample of enough rare particles showing the property of interest is key to ensure reliable measurements. Further, the assumptions made on the controlled degree of variability to determine the minimum number of particles are discussed based on data on achievable intra- and inter-laboratory variability of analytical standards for waste characterization. Accordingly, the mass of laboratory samples and test portions recommended in published sampling plans or analytical standards are assessed for the occurring number of particles.


2020 ◽  
Author(s):  
Grania P. Smith

AbstractInteractions between urban wildlife and people are increasing globally. Some of these interactions can be negative and lead to human-wildlife conflicts. In St Andrews, Scotland, residents and business owners have come into conflict with herring gulls (Larus argentatus) and lesser black-backed gulls (Larus fuscus) that nest and forage in the town. This study quantified the number, species and distribution of nesting gulls; the vulnerability of different sources of rubbish to attack; and the likelihood of negative human-gull interactions related to food. Surveys were conducted in St Andrews during the 2016 breeding season (May-July). Nesting gull density and distribution were estimated during weekly street surveys of buildings; vantage surveys were conducted for some buildings and a correction factor estimating a minimum number of nesting gulls was produced. 110 nesting gull pairs were estimated and these occupied ~10% of buildings. The vulnerability of waste sources to attack was monitored during transects recording whether or not rubbish sources were attacked. Black bin bags had the highest probability of being attacked, but placing these in secured hessian bags prevented this. The frequency of negative human-gull interactions involving food at street-level was determined during 10-minute timed watches at various locations. Incidences of gulls taking food were rare; only eight were seen in 30 hours of watches. Altering human behaviour (for example, disposing of waste securely) will mitigate potential issues with urban wildlife. Findings from this study will enable effective management of human-gull conflicts in St Andrews and have potential applications in other urban communities.


2018 ◽  
Vol 6 (44) ◽  
pp. 12031-12037 ◽  
Author(s):  
Mark A. Rose ◽  
T. P. Vinod ◽  
Stephen A. Morin

This report describes a new strategy, microparticle screen printing (μSP), generally applicable to the fabrication of homo/heterogeneous arrays of functional particles with potential applications in photonics, optoelectronics, and optical sorting/barcoding.


Nanophotonics ◽  
2018 ◽  
Vol 7 (6) ◽  
pp. 1117-1127 ◽  
Author(s):  
Iñigo Liberal ◽  
Yue Li ◽  
Nader Engheta

AbstractThe next generation of flat optic devices aspires to a dynamic control of the wavefront characteristics. Here, we theoretically investigated the reconfigurable capabilities of an epsilon-near-zero (ENZ) metasurface augmented with resonant dielectric rods. We showed that the transmission spectrum of the metasurface is characterized by a Fano-like resonance, where the metasurface behavior changed from perfect magnetic conductor to epsilon-and-mu-near-zero material responses. The abrupt variation between these two extreme material responses suggests potential applications in dynamic metasurfaces. We highlighted the causality aspects of ENZ metasurfaces with a transient analysis and numerically investigated different reconfigurable mechanisms. Thus, this work introduces a new strategy for dynamic wavefront engineering.


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