A5031998277- Metabolomics and Mass Spectrometry Studies
- Diet and metabolism studies
- Traditional Chinese Medicine Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Advanced Chemical Sensor Technologies
- Computational Drug Discovery Methods
- Cancer, Lipids, and Metabolism
- NMR spectroscopy and applications
- Gut microbiota and health
- Cancer, Hypoxia, and Metabolism
- Advanced MRI Techniques and Applications
- Advanced NMR Techniques and Applications
- Nutritional Studies and Diet
- Radiomics and Machine Learning in Medical Imaging
- Spectroscopy and Chemometric Analyses
- Liver Disease Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Oral microbiology and periodontitis research
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Advanced Proteomics Techniques and Applications
- Muscle metabolism and nutrition
- Ginseng Biological Effects and Applications
Interuniversity Consortium for Magnetic Resonance
2016-2025
University of Florence
2016-2025
University of Gondar
2023
Resonance Research (United States)
2023
Regione Toscana
2021
Gen Foundation
2013-2019
Florence (Netherlands)
2012-2017
International Flame Research Foundation
2017
Azienda Usl Toscana Centro
2017
Baylor College of Medicine
2017
Alzheimer's disease (AD) is the most frequent neurodegenerative disorder worldwide. The great variability in evolution and incomplete understanding of molecular mechanisms underlying AD make it difficult to predict when a patient will convert from prodromal stage dementia. We hypothesize that metabolic alterations present at level brain could be reflected systemic blood serum patients, these used as prognostic biomarkers. This pilot study proposes investigation via nuclear magnetic resonance...
Metabolomics has become a crucial phenotyping technique in range of research fields including medicine, the life sciences, biotechnology and environmental sciences. This necessitates transfer experimental information between groups, as well potentially to publishers funders. After initial efforts metabolomics standards initiative, minimum reporting were proposed which included concepts for databases. Built by community, infrastructure are still needed allow storage, exchange, comparison...
Celiac disease (CD) is a multifactorial disorder involving genetic and environmental factors, thus, having great potential impact on metabolism. This study aims at defining the metabolic signature of CD through Nuclear Magnetic Resonance (NMR) urine serum samples patients. Thirty-four patients diagnosis 34 healthy controls were examined by 1H NMR their urine. A patients' subgroup was also after gluten-free diet (GFD). Projection to Latent Structures provided data reduction clustering,...
Differences between individual phenotypes are due both to differences in genotype and exposure different environmental factors. A fundamental contribution the definition of phenotype for clinical therapeutic applications would come from a deeper understanding metabolic phenotype. The existence unique has been hypothesized, but experimental evidence only recently collected. Analysis over timescale years shows that largely invariant. present work also supports idea can be considered...
The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by wide range clinical manifestations, ranging from absence symptoms severe forms that need intensive care treatment. Here, plasma-EDTA samples 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics lipidomics. With the same approach, effect tocilizumab...
In the treatment of advanced non-small cell lung cancer (NSCLC), immune checkpoint inhibitors have shown remarkable results. However, not all patients with NSCLC respond to this drug or receive durable benefits. Thus, patient stratification and selection, as well identification predictive biomarkers, represent pivotal aspects address. framework, metabolomics can be used support discrimination between responders non-responders. Here, was analyze sera samples from 50 NSCL treated inhibitors....
Abstract Background Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making future. However, their implementation health care settings remains limited, mostly due lack of robust validation procedures. There is need develop reliable assessment frameworks for AI. We present here an approach assessing predicting treatment response triple-negative...
Blood derivatives are the biofluids of choice for metabolomic clinical studies since blood can be collected with low invasiveness and is rich in biological information. However, collection tubes has an undeniable impact on plasma serum metabolic content. Here, we compared lipoprotein profiles samples at same time place from six healthy volunteers but using different (each enrolled volunteer provided multiple a distance few weeks/months): citrate plasma, EDTA tubes. All were analyzed via...
Purpose Metabolomics is a global study of metabolites in biological samples. In this we explored whether serum metabolomic spectra could distinguish between early and metastatic breast cancer patients predict disease relapse. Methods Serum samples were analysed from women with (n = 95) predominantly oestrogen receptor (ER) negative stage 80) using high resolution nuclear magnetic resonance spectroscopy. Multivariate statistics Random Forest classifier used to create prognostic model for...
Purpose To propose a magnetic resonance imaging (MRI) quality assurance procedure that can be used for multicenter comparison of different MR scanners quantitative diffusion-weighted (DWI). Materials and Methods Twenty-six centers (35 with field strengths: 1T, 1.5T, 3T) were enrolled in the study. Two DWI acquisition series (b-value ranges 0–1000 0–3000 s/mm2, respectively) performed each scanner. All acquisitions by using cylindrical doped water phantom. Mean apparent diffusion coefficient...
In the era of precision medicine, analysis simple information like sex and age can increase potential to better diagnose treat conditions that occur more frequently in one two sexes, present sex-specific symptoms outcomes, or are characteristic a specific group. We here study association networks constructed from an array 22 plasma metabolites measured on cohort 844 healthy blood donors. Through differential network we show be associated with age: Different connectivity patterns were...
Abstract Purpose: Detecting signals of micrometastatic disease in patients with early breast cancer (EBC) could improve risk stratification and allow better tailoring adjuvant therapies. We previously showed that postoperative serum metabolomic profiles were predictive relapse a single-center cohort estrogen receptor (ER)–negative EBC patients. Here, we investigated this further using preoperative samples from ER-positive, premenopausal women who enrolled an international phase III trial....