Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 285 - 294
Published: Jan. 1, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 285 - 294
Published: Jan. 1, 2024
Language: Английский
Frontiers in Molecular Biosciences, Journal Year: 2023, Volume and Issue: 10
Published: Feb. 15, 2023
COVID-19 currently represents one of the major health challenges worldwide. Albeit its infectious character, with onset affectation mainly at respiratory track, it is clear that pathophysiology has a systemic ultimately affecting many organs. This feature enables possibility investigating SARS-CoV-2 infection using multi-omic techniques, including metabolomic studies by chromatography coupled to mass spectrometry or nuclear magnetic resonance (NMR) spectroscopy. Here we review extensive literature on metabolomics in COVID-19, unraveled aspects disease including: characteristic metabotipic signature associated discrimination patients according severity, effect drugs and vaccination treatments characterization natural history metabolic evolution disease, from full recovery long-term long sequelae COVID.
Language: Английский
Citations
31Current Biology, Journal Year: 2025, Volume and Issue: 35(8), P. R303 - R313
Published: April 1, 2025
Language: Английский
Citations
1Published: Jan. 1, 2024
Non-invasive healthcare technologies are increasingly pivotal in research anddevelopment due to their affordability and the convenience they offer bothhealthcare recipients providers. Alongside traditional non-invasive methodssuch as ultrasound imaging, a variety of innovative devices havebeen developed. These include cardiovascular diagnostic systems, bioimpedancebasedscales, various types analyzers. analyzers, which can be fluidlessor fluid-based, capable measuring not just physical parameters thebody but also key biomarkers like glucose lactate. This comprehensive andtransdisciplinary thesis encompasses three distinct yet interconnected segments:1) Advanced imaging (Papers I II): The first explored vortexformation time female athletes second detailed investigations thesuperficial venous systems apparently healthy volunteers.2) Validation application commercially available fluid-less bloodanalyzers IV-VI). papers focus on blood glucosemonitoring (Paper IV) general use healthcaretechnologies among participants from socioeconomicallydisadvantaged areas V VI).3) Design testing novel, fluid-based sensors, biosensors II andIII): Paper delves into biosensing viruses, paper III deals withcontinuous ex vivo sensing human using an enzymatic sensorin vein replica.Each these segments contribute broader understanding advancementof technologies, highlighting significant role suchtechnologies play modern research. thesis's transdisciplinaryapproach, spanning advanced techniques development ofnovel biosensors, exemplifies dynamic evolving nature medicaltechnology
Language: Английский
Citations
7PLoS ONE, Journal Year: 2022, Volume and Issue: 17(9), P. e0274967 - e0274967
Published: Sept. 22, 2022
Background The COVID-19 pandemic is likely to represent an ongoing global health issue given the potential for new variants, vaccine escape and low likelihood of eliminating all reservoirs disease. Whilst diagnostic testing has progressed at a fast pace, metabolic drivers outcomes–and whether markers can be found in different biofluids–are not well understood. Recent research shown that serum metabolomics prognosis disease progression. In hospital setting, collection saliva samples more convenient both staff patients, therefore offers alternative sampling matrix serum. Methods Saliva were collected from hospitalised patients with clinical suspicion COVID-19, alongside metadata. diagnosis was confirmed using RT-PCR testing, severity classified descriptors (respiratory rate, peripheral oxygen saturation score C-reactive protein levels). Metabolites extracted analysed high resolution liquid chromatography-mass spectrometry, resulting peak area multivariate techniques. Results Positive percent agreement 1.00 between partial least squares–discriminant analysis model employing panel 6 features (5 which amino acids, one could identified by formula only) achieved. negative also 1.00, leading under receiver operating characteristics curve identified. Conclusions this exploratory work, we particular acids capable separating patients. This expands atlas dysregulation future offer basis quick non-invasive means intended supplement existing tests, goal offering timely treatment potentially poor outcomes.
Language: Английский
Citations
21Published: Jan. 1, 2023
This thesis is focused on developing electrochemical (bio-)sensors specifically designed to detect biomolecules and bacteria in human physiological fluids. A more comprehensive understanding of their performance can be obtained by exposing the sensors real Thus, four biosensors were tested saliva, plasma, blood, urine. Specifically, a voltammetric electronic tongue, integrating six different electrode materials, was developed qualitatively assess SARS-CoV-2 saliva samples using principal component analysis. tubular enzyme-based sensor utilizing incorporated cellobiose dehydrogenase an Os(bpy)PVI redox polymer employed for continuous glucose sensing plasma undiluted whole blood under homeostatic conditions. Two concepts label-free detection (Escherichia coli, Enterococcus faecalis, Klebsiella pneumoniae) artificial urine based metabolic activity due bacterial growth. The first enabled reducing Prussian Blue deposited screen-printed electrodes with wireless data transfer. second bacterial-sensitive utilized characterization identify three types changes. For qualitative investigation changes, nuclear magnetic resonance utilized, flow cytometry used quantify correlate growth electrochemistry. Multivariate statistical analysis applied distinguish bacteria-free bacteria-infected Finally, overview recent advances field non-invasive operating secreted fluids, viz., tears, sweat, urine, give
Language: Английский
Citations
13Metabolites, Journal Year: 2024, Volume and Issue: 14(1), P. 36 - 36
Published: Jan. 5, 2024
This review article compiles critical pre-analytical factors for sample collection and extraction of eight uncommon or underexplored biological specimens (human breast milk, ocular fluids, sebum, seminal plasma, sweat, hair, saliva, cerebrospinal fluid) under the perspective clinical metabolomics. These samples are interesting metabolomics studies as they reflect status living organisms can be applied diagnostic purposes biomarker discovery. Pre-collection procedures critical, requiring protocols to standardized avoid contamination bias. Such must consider cleaning area, stimulation, diet, food drug intake, among other that impact lack homogeneity group. Precipitation proteins removal salts cell debris most used preparation procedures. intends provide a global view practical aspects results, serving starting point designing metabolomic experiments.
Language: Английский
Citations
4Clinical Chemistry and Laboratory Medicine (CCLM), Journal Year: 2024, Volume and Issue: 62(6), P. 1206 - 1216
Published: Jan. 22, 2024
Abstract Objectives Many reverse transcription polymerase chain reaction (RT-PCR) methods exist that can detect SARS-CoV-2 RNA in different matrices. RT-PCR is highly sensitive, although viral may be detected long after active infection has taken place. proteins have shorter detection windows hence their might more meaningful. Given salivary droplets represent a main source of transmission, we explored the and protein using four platforms including SISCAPA peptide immunoaffinity liquid chromatography-mass spectrometry (SISCAPA-LC-MS) polyclonal capture antibodies. Methods The SISCAPA-LC MS method was compared to RT-PCR, RT-loop-mediated isothermal amplification (RT-LAMP), lateral flow rapid antigen test (RAT) for virus material drool saliva 102 patients hospitalised with SARS-CoV-2. Cycle thresholds (Ct) ( E gene) were RT-LAMP time-to-positive (TTP) NE Orf1a genes), RAT optical densitometry measurements (test line/control line ratio) SISCAPA-LC-MS protein. Results showed low sensitivity (37.7 %) but high specificity (89.8 %). lower (24.5 (100 had (83.0 (100.0 At initial loads (<20 Ct), results obtained correlated (R 2 0.57, p-value 0.002). Conclusions Detection nucleoprotein less frequent than RNA. allowed processing multiple samples <150 min scalable, enabling throughput.
Language: Английский
Citations
4International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(20), P. 12079 - 12079
Published: Oct. 11, 2022
Treatments for COVID-19 infections have improved dramatically since the beginning of pandemic, and glucocorticoids been a key tool in improving mortality rates. The UK’s National Institute Health Care Excellence guidance is treatment to be targeted only at those requiring oxygen supplementation, however, interactions between are not completely understood. In this work, multi-omic analysis 98 inpatient-recruited participants was performed by quantitative metabolomics (using liquid chromatography-mass spectrometry) data-independent acquisition proteomics. Both ‘omics datasets were analysed statistically significant features pathways differentiating whose regimens did or include glucocorticoids. Metabolomic differences glucocorticoid-treated patients included modulation cortisol bile acid concentrations serum, but no alleviation serum dyslipidemia increased amino (including tyrosine arginine) cohort relative untreated cohort. Proteomic pathway indicated neutrophil platelet degranulation as influenced glucocorticoid treatment. These results keeping with role platelet-associated neutrophils pathogenesis provide opportunity further understanding action. findings also, highlight that fully effective across wide range dysregulation caused infections.
Language: Английский
Citations
18Analytica Chimica Acta, Journal Year: 2022, Volume and Issue: 1226, P. 340286 - 340286
Published: Aug. 22, 2022
Language: Английский
Citations
17Metabolites, Journal Year: 2023, Volume and Issue: 13(3), P. 342 - 342
Published: Feb. 24, 2023
A number of studies have assessed the impact SARS-CoV-2 infection and COVID-19 severity on metabolome exhaled air, saliva, plasma, urine to identify diagnostic prognostic biomarkers. In spite richness literature, there is no consensus about utility metabolomic analyses for management COVID-19, calling a critical assessment literature. We identified mass spectrometric specimens from SARS-CoV2-infected patients subjected them cross-study comparison. compared clinical design, technical aspects, statistical published with purpose most relevant Several among metabolites that are under- or overrepresented in plasma may directly contribute excessive inflammatory reactions deficient immune control SARS-CoV2, hence unraveling important mechanistic connections between whole-body metabolism course disease. Altogether, it appears approaches high potential biomarker discovery, especially if they methodological standardization.
Language: Английский
Citations
10