Cited by Chronic Kidney Disease (CKD) Prediction Using Stochastic Deep Radial Basis for Feature Extractiona Residual Neural Network

Per- and polyfluoroalkyl substances (PFAS) and cancer: Detection methodologies, epidemiological insights, potential carcinogenic mechanisms, and future perspectives DOI

Jie Zheng, Sheng Liu, Junjie Yang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176158 - 176158

Published: Sept. 8, 2024

Language: Английский

Citations

Bisulfite-Free and Quantitative Detection of DNA Methylation at Single-Base Resolution by eROS1-seq DOI

Fang‐Yin Gang,

Neng‐Bin Xie,

Min Wang

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

5-Methylcytosine (5mC) is the most significant DNA modification present in mammalian genomes. Understanding roles of 5mC diverse biological processes requires quantitative detection at single-base resolution. In this study, we engineered repressor silencing 1 (ROS1) protein derived from

Language: Английский

Citations

Serum metabolomic profiling for predicting therapeutic response and toxicity in breast cancer neoadjuvant chemotherapy: a retrospective longitudinal study DOI

Zhihao Fang, Guohong Ren,

Shouyu Ke

et al.

Breast Cancer Research, Journal Year: 2025, Volume and Issue: 27(1)

Published: Jan. 6, 2025

Neoadjuvant chemotherapy (NACT) is the standard-of-care treatment for patients with locally advanced breast cancer (LABC), providing crucial benefits in tumor downstaging. Clinical parameters, such as molecular subtypes, influence therapeutic impact of NACT. Moreover, severe adverse events delay process and reduce effectiveness therapy. Although metabolic changes during are determinant factors responses toxicities, related clinical research remains limited. One hundred paired blood samples were collected from 50 LABC before after a complete NACT cycle. Untargeted metabolomics was used by liquid chromatography-mass spectrometry (LC–MS) to investigate relationship between dynamically changing metabolites serum toxicities Firstly, we observed significant alterations metabolite levels pre- post-NACT, predominant enrichment sphingolipid amino acid metabolism pathways. Second, pre-treatment successfully predicted response hematotoxicities In particular, subtype variations favorable linked acyl carnitine levels. Finally, discovered that effects could be attributed essential metabolism. This study elucidated dynamic treatment, possibility developing responsive signatures personalized treatment.

Language: Английский

Citations

Advances in High-Resolution Mass Spectrometry-Based Metabolomics: Applications in Food Analysis and Biomarker Discovery DOI

Wenqi Shang,

Guozheng Wei,

Haibo Li

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Consumer concerns regarding food nutrition and quality are becoming increasingly prevalent. High-resolution mass spectrometry (HRMS)-based metabolomics stands as a cutting-edge widely embraced technique in the realm of component analysis detection. It boasts capability to identify character metabolites at exceedingly low abundances, which remain undetectable by conventional platforms. can also enable real-time monitoring flux targeted compounds metabolic synthesis decomposition. With emergence artificial intelligence machine learning, it has become more convenient process vast data sets biomarkers. The review summarizes latest applications HRMS-based platforms traditional foods, novel pharmaceutical-food homologous matrices. compares suitability HRMS nuclear magnetic resonance (NMR) across three dimensions discusses principles application scenarios various technologies.

Language: Английский

Citations

Implementation of Machine Learning and Ensemble Learning Models for the Prediction of CKD and Drugs Side-Effect DOI

P. AnnanNaidu,

A. VenkataMahesh,

Sura Paparao

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 93 - 110

Published: Jan. 1, 2025

Language: Английский

Citations

Sputum Microbiota Compositions Correlate With Metabolome and Clinical Outcomes of COPD‐Bronchiectasis Association: A Prospective Cohort Study DOI

Zhen‐feng He,

Xiaoxian Zhang,

Cui‐xia Pan

et al.

Exploration, Journal Year: 2025, Volume and Issue: unknown

Published: May 4, 2025

ABSTRACT Bronchiectasis frequently co‐exists with chronic obstructive pulmonary disease (COPD‐bronchiectasis association [CBA]). We compared the microbiota and metabolome of bronchiectasis (BO) without airflow obstruction (BNO), COPD, CBA. determined how compositions correlated clinical characteristics exacerbations prospectively recruited outpatients BNO ( n = 104), BO 51), COPD 33), CBA 70). sampled at stead‐state exacerbation, profiled sputum via 16S rRNA sequencing liquid chromatography/mass spectrometry. Sputum profiles separated from P < 0.05) but not bronchiectasis, partly driven by Proteobacteria enrichment in An increasing microbial interaction were identified exacerbation. Pseudomonadaceae‐dominant yielded lower Shannon–Wiener diversity index 0.001), greater severity higher future exacerbation risk (HR 2.46, 95% CI: 1.34–4.52, 0.001) than other genera‐dominant found a clear metabolite discrimination between COPD. Most up‐regulated metabolites CBA, amino acids metabolites, which indicated that accumulation was related to alteration airway microbiota. To conclude, structural changes, limitation, correlate more profoundly (e.g. Pseudomonadaceae‐amino metabolism links), shaping outcomes

Language: Английский

Citations

Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM DOI

Guangqin Liao,

Hongmei Tang,

Yuandi Yu

et al.

Chinese Medicine, Journal Year: 2025, Volume and Issue: 20(1)

Published: May 12, 2025

Abstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such LC–MS GC–MS, coupled with metabolomics, propelled the qualitative quantitative characterization TCM’s complex components. This review comprehensively examines applications MS-based elucidating TCM efficacy, spanning chemical composition analysis, molecular target identification, mechanism-of-action studies, syndrome differentiation. Recent innovations functional spatial single-cell metabolic flux analysis have further expanded research horizons. Artificial intelligence (AI) bioinformatics offer promising avenues for overcoming bottlenecks, enhancing database standardization, driving interdisciplinary breakthroughs. However, challenges remain, including need improved data processing expansion, understanding metabolite-gene-protein interactions. By addressing these gaps, can bridge practices modern biomedical research, fostering global acceptance TCM. highlights synergy MS techniques, computational tools, holistic philosophy, presenting forward-looking perspective on its clinical translation internationalization.

Language: Английский

Citations

Comprehensive Analysis of Transplacental Transfer of Environmental Pollutants Detected in Paired Maternal and Cord Serums DOI

Keyu Yuan,

Yao-Hua Gu,

Yuansheng Pei

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 486, P. 136970 - 136970

Published: Dec. 25, 2024

Language: Английский

Citations

Chronic Kidney Disease (CKD) Prediction Using Stochastic Deep Radial Basis for Feature Extractiona Residual Neural Network DOI

M. S. Jayaprabha,

V. Vishwa Priya

SN Computer Science, Journal Year: 2024, Volume and Issue: 5(7)

Published: Oct. 15, 2024

Language: Английский

Citations