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Alzheimer's disease (AD) is one of the most common progressive neurodegenerative diseases, accompanied by global alterations in metabolic profiles. In the past 10 years, over hundreds of metabolomics studies have been conducted to unravel metabolic changes in AD, which provides insight into the identification of potential biomarkers for diagnosis, treatment, and prognostic assessment. However, since different species may lead to systemic abnormalities in metabolomic profiles, it is urgently needed to perform a comparative metabolomics analysis between AD animal models and human patients. In this study, we integrated 78 metabolic profiles from public literatures, including 11 metabolomics studies in different AD mouse models and 67 metabolomics studies from AD patients. Metabolites and enrichment analysis were further conducted to reveal key metabolic pathways and metabolites in AD. We totally identified 14 key metabolites and 16 pathways that are both differentially significant in AD mouse models and patients. Moreover, we built a metabolite-target network to predict potential protein markers in AD. Finally, we validated HER2 and NDF2 as key protein markers in APP/PS1 mice. Overall, this study provides a comprehensive strategy for AD metabolomics research, contributing to understanding the pathological mechanism of AD.
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http://dx.doi.org/10.3389/fphar.2022.904857 | DOI Listing |
Plant Dis
September 2025
Shenyang Agricultural University, College of Plant Protection, Nematology Institute of Northern China, Shenyang, China;
Root-knot nematodes (Meloidogyne spp.) cause catastrophic yield losses in global agriculture. This study identified itaconic acid (IA), through comparative metabolomic analysis (the study of small molecules in biological systems), as a key virulence-related metabolite produced by the fungus Trichoderma citrinoviride Snef1910.
View Article and Find Full Text PDFGenome Biol
September 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Background: Soil salinization represents a critical global challenge to agricultural productivity, profoundly impacting crop yields and threatening food security. Plant salt-responsive is complex and dynamic, making it challenging to fully elucidate salt tolerance mechanism and leading to gaps in our understanding of how plants adapt to and mitigate salt stress.
Results: Here, we conduct high-resolution time-series transcriptomic and metabolomic profiling of the extremely salt-tolerant maize inbred line, HLZY, and the salt-sensitive elite line, JI853.
Life Sci Alliance
November 2025
Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan
Mass-based fingerprinting can characterize microorganisms; however, expansion of these methods to predict specific gene functions is lacking. Therefore, mass fingerprinting was developed to functionally profile a yeast knockout library. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) fingerprints of 3,238 knockouts were digitized for correlation with gene ontology (GO).
View Article and Find Full Text PDFMethods Cell Biol
September 2025
Centre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, Inserm U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, UMS AMICCa, Gustave Roussy, Villejuif, France.
Chronic restraint stress (CRS) is a widely recognized model to study stress-induced anorexia and metabolic dysregulation in mice. Acyl-coenzyme A-binding protein (ACBP) has emerged as a critical player in metabolic regulation, with potential implications for stress-related disorders. This study presents two complementary methodologies to artificially elevate circulating Acyl-CoA-binding protein (ACBP) levels in mice under CRS.
View Article and Find Full Text PDFMethods Cell Biol
September 2025
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Italy; CEINGE-Biotecnologie Avanzate, Naples, Italy.
Cystic fibrosis (CF) is a genetic disorder primarily known for its severe impact on lung function, but it also significantly affects the digestive system, leading to complications such as intestinal blockages, malabsorption, inflammation, and microbial dysbiosis. The study of CFTR (Cystic Fibrosis Transmembrane Conductance Regulator) effects on intestinal physiology is critical for developing new effective treatments. This work highlights the use of the mouse intestine as a valuable model for analyzing cellular electrophysiology and CFTR function.
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