Cited by Serum Metabolomics And Lipoproteomics discriminate Celiac Disease And Non-Celiac Gluten Sensitivity Patients

Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach DOI

Alessia Vignoli, G. Bellomo, Federico Paolini Paoletti

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 27, 2025

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 (NMR) spectroscopy consecutive series patients including 57 affected by dementia (AD-dem) 45 with mild cognitive impairment (MCI) due (MCI-AD). As control group, we considered 31 subjects whom other disorders were excluded (MCI). A panel 26 metabolites 112 lipoprotein-related parameters was quantified logistic LASSO regression algorithm employed identify optimal combination metabolites-lipoproteins their ratios discriminate groups interest. In training set, our model classified AD-dem MCI an accuracy 81.7%. These results reproduced validation set (accuracy 75.0%). Evolution MCI-AD evaluated over time. Patients who displayed decrease MMSE < 1.5 point per year lower progression rate: obtained division 18 rate (MCI-AD LR) 27 higher HR). calculated using 4 features identified LR HR 73.3%. identification potential novel peripheral biomarkers disease, proposed this study, opens new prospect for innovative minimally invasive method its very early stages. approach able sub-stratify identifying those associated faster clinical progression.

Language: Английский

Citations

In-Situ Metabolic Profiling of Different Kinds of Rheum palmatum L. by Laser Desorption–Dielectric Barrier Discharge Ionization Mass Spectrometry Imaging DOI

Xue Xiao, Xiaokang Guan, Zhouyi Xu

et al.

Metabolites, Journal Year: 2024, Volume and Issue: 14(3), P. 131 - 131

Published: Feb. 21, 2024

With its high resolving power and sensitivity, mass spectrometry is considered the most informative technique for metabolite qualitation quantification in plant sciences. However, spatial location information, which crucial exploration of physiological mechanisms, lost. Mass imaging (MSI) able to visualize distribution a large number metabolites from complex sample surface single experiment. In this paper, flexible low-cost laser desorption-dielectric barrier discharge ionization-MSI (LD-DBDI-MSI) platform was constructed by combining an LD system with in-line DBDI source, high-precision translation stage, ambient spectrometer. It can be operated at resolution 20 μm atmospheric environment requires minimal preparation. This study presents images in-situ metabolic profiling two kinds plants different origins, wild farmed

Language: Английский

Citations

Trends, key contributors, and emerging issues in honey and breast cancer: A bibliometric analysis from 2014 to 2024 DOI

Andi Nilawati Usman, Fendi Fendi, Zafitri Nulandari

et al.

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 17 - 17

Published: Jan. 3, 2025

Background Honey, a natural product with diverse bioactive compounds, has been increasingly explored for its potential anticancer properties. This study aims to comprehensively analyze the scientific literature on relationship between honey and breast cancer. Methods A bibliometric analysis was conducted using ScienceDirect database identify publications from 2014 2024. Data publication trends, author collaboration, keyword were extracted gain insight into research landscape. Keyword identified nine distinct clusters, indicating directions regarding role of in cancer treatment. Results Key journals such as Journal Ethnopharmacology Food Chemistry have at forefront disseminating findings this domain, demonstrating strong interdisciplinary approach that bridges traditional medicine modern inquiry. The increasing interest properties honey, evidenced by growing number studies, underlines promising agent prevention Recent advances synthesis theranostic paradigms cerium oxide nanoparticles (CeONPs) highlighted, well selenium nanoconstructs. toxicity quality control Perillae Fructus also highlighted. Conclusions provides comprehensive overview current state knowledge uncovers emerging issues require further investigation.

Language: Английский

Citations

Novel NMR-Based Approach to Reveal the ‘Metabolic Fingerprint’ of Cytotoxic Gold Drugs in Cancer Cells DOI

Veronica Ghini, Ana Isabel Tristán, Giorgio Di Paco

et al.

Journal of Proteome Research, Journal Year: 2025, Volume and Issue: 24(2), P. 813 - 823

Published: Jan. 6, 2025

A combination of pathway enrichment and metabolite clustering analysis is used to interpret untargeted 1H NMR metabolomics data, enabling a biochemically informative comparison the effects induced by panel known cytotoxic gold(I) gold(III) compounds in A2780 ovarian cancer cells. The identification most dysregulated pathways for major classes highlights specific chemical features that lead common biological effects. proposed approach may have broader applicability screening metal-based drug candidate libraries, which always complicated their multitarget nature, support comprehensive interpretation metabolic actions.

Language: Английский

Citations

Trends, key contributors, and emerging issues in honey and breast cancer: A bibliometric analysis from 2014 to 2024 DOI

Andi Nilawati Usman, Fendi Fendi, Zafitri Nulandari

et al.

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 17 - 17

Published: Jan. 20, 2025

Language: Английский

Citations

Metabolomic and lipoproteomic differences and similarities between COVID-19 and other types of pneumonia DOI

Veronica Ghini,

Valentina Pecchioli,

Tommaso Celli

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 3, 2025

COVID-19 infection has revealed significant effects on the human blood metabolome and lipoproteome, which have been coherently observed in different cohorts worldwide across various waves of SARS-CoV-2 pandemic. As one main clinical manifestations is a severe acute respiratory illness, it pertinent to explore whether this metabolic/lipoproteomic disturbance associated with symptoms. To purpose we are here reporting comparative1H NMR analyses plasma 252 patients non-COVID-19 interstitial (24 individuals) or lobar (21 pneumonia, all matched by age, gender disease severity. The analysis based 24 metabolites 114 lipoprotein parameters. Several common traits among three groups, albeit some peculiar features characteristic each group. differences were between cases others.

Language: Английский

Citations

NMR-based metabolomic approach to estimate chemical and sensorial profiles of olive oil DOI

Gaia Meoni, Leonardo Tenori, Francesca Di Cesare

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

This study investigates the potential of 1H NMR spectroscopy for predicting key chemical and sensory attributes in olive oil. By integrating data with traditional analyses evaluation, we developed multivariate models to evaluate predictive power spectra coupled machine learning algorithms 50 distinct oil quality parameters, including physicochemical properties, fatty acid composition, total polyphenols, tocopherols, attributes. We applied Random Forest regression correlate these achieving promising results, particularly major acids, tocopherols. have also found collected be highly effective classifying cultivars years harvest. Our findings highlight as a rapid, non-destructive, environmentally friendly tool assessment. introduces novel approach that combines spectral analysis analytical essential qualitative parameters leveraging proxies, this methodology offers alternative assessment techniques, enabling rapid determination several related attributes, geographical origin samples.

Language: Английский

Citations

Enhanced Standard Operating Procedures for ³¹P NMR-Based Metabolomics in Tissue Extracts DOI

Sara Martin-Ramos,

Jon Bilbao,

Tammo Diercks

et al.

JACS Au, Journal Year: 2025, Volume and Issue: unknown

Published: April 13, 2025

Language: Английский

Citations

Predicting reperfusion injury and functional status after stroke using blood biomarkers: the STROKELABED study DOI

Alessia Vignoli, Elena Sticchi, Benedetta Piccardi

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 30, 2025

Ischemic stroke is a leading cause of disability and mortality, particularly among the elderly. Recanalization therapies, including thrombolysis thrombectomy, are essential for restoring blood flow saving ischemic tissue. However, these interventions may trigger reperfusion injury, worsening inflammation tissue damage, to blood-brain-barrier (BBB) disruption, cerebral edema (CE) adverse functional outcomes. Here we propose model integrating circulating inflammatory biomarkers with metabolomic lipoproteomic data able help clinicians in predicting BBB CE at 24 h post onset poor post-stroke outcome (Modified Rankin Scale (mRS > 2). Peripheral from 87 patients was collected admission after onset. The logistic LASSO regression algorithm employed identify optimal combination metabolites, lipoprotein-related parameters discriminate groups interest two time-points. Multivariable models included as covariates: age, sex, onset-to-treatment time, treatment lipid-lowering medications before stroke, history heart failure, atrial fibrillation diabetes. showed that methionine, acetate, GlyA MMP-2 were significant predictors TIMP-1 CXCL-10 predicted 24-hours CE, whereas three months by CXCL-10, IL-12 LDL-5. As has heterogeneous pathophysiology, personalized approach based on biomarkers, presented this study, shown be effective tackling patient individual risk could developing novel diagnostic, prognostic, therapeutic neuroprotective strategies management patients.

Language: Английский

Citations

COLMAR1d2d: Synergistic Combination of 1D with 2D NMR for Enhanced High-Throughput Identification and Quantification of Metabolites in Complex Mixtures DOI

Rodrigo Cabrera, Dawei Li,

Matthew Choo

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

A major challenge in 1D 1H NMR-based metabolomics studies is the occurrence of slight shifts resonances mixture compounds compared to reference spectra spectral databases due variations buffer conditions, temperature, and matrix effects. This hampers both automated deconvolution metabolite quantification crowded regions NMR complex mixtures whose analysis particularly susceptible such 2D metabolomics, on other hand, substantially more robust but also much demanding terms spectrometer time. Here we introduce an approach, termed COLMAR1d2d, which uses selected 1H-13C HSQC 1H-1H TOCSY a subset samples along with all overcome this bottleneck. It relies our platform COLMARm using measured for representative unambiguously comprehensively determine composition exact peak positions identified under sample conditions present. information then used update database potentially large cohort COLMAR1d platform. demonstrated how synergistic combination allows significantly larger number metabolites than would be possible alone. Moreover, COLMAR1d2d improves quantitation, as from mouse urine Pseudomonas aeruginosa biofilm.

Language: Английский

Citations