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Data Treatment for LC-MS Untargeted Analysis.
Methods Mol Biol
January 2025
Research and Innovation Centre, Fondazione E. Mach, Trento, Italy.
Liquid Chromatography-Mass Spectrometry (LC-MS) untargeted experiments require complex bioinformatic strategies to extract information from the experimental data. Here we discuss the "data preprocessing," the set of procedures performed on the raw data to produce a data matrix which will be the starting point for the subsequent statistical analysis. Data preprocessing is a crucial step on the path to knowledge extraction, which should be carefully controlled and optimized in order to maximize the output of any untargeted metabolomics investigation.
View Article and Find Full Text PDFmpactR: an R adaptation of the metabolomics peak analysis computational tool (MPACT) for use in reproducible data analysis pipelines.
Microbiol Resour Announc
January 2025
Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, USA.
mpactR automates pre-processing of liquid chromatography-tandem mass spectrometry (LC-MS/MS) data from microbiological samples to correct mispicked peaks, resolve inter-sample variation in abundance across technical replicates, account for in-source ion fragmentation, and remove background noise to yield high-quality mass spectrometry features. The package is available through CRAN and GitHub.
View Article and Find Full Text PDFCorrigendum to "Integrated skin metabolomics and network pharmacology to explore the mechanisms of Goupi Plaster for treating knee osteoarthritis" [J Tradit, Complementary Altern Med 14 (6) (2024) 675-686].
J Tradit Complement Med
January 2025
Key Laboratory of Basic and Application Research of Beiyao, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
[This corrects the article DOI: 10.1016/j.jtcme.
View Article and Find Full Text PDFSarcopenia (SP), an age-associated condition marked by muscle weakness and loss has been strongly connected with metabolic factors according to substantial evidence. Nevertheless, the causal correlation between SP and serum metabolites, and the biological signaling pathways involved, is still not well understood. We performed a bidirectional two-sample Mendelian randomization (MR) analysis to examine the causal relationships between 1091 levels and 309 ratios of metabolites with SP traits, alongside investigating the relevant biological signaling pathways.
View Article and Find Full Text PDFRight ventricular remodeling in complex congenital heart disease.
Can J Cardiol
January 2025
Research Center, Montreal Heart Institute, Department of Medicine, Université de Montréal, Montreal, Canada; Adult Congenital Heart Centre, Montreal Heart Institute, Université de Montréal, Montreal, Canada. Electronic address:
In congenital heart diseases (CHD) of moderate to great complexity involving the right ventricle (RV), the morphologic RV can be exposed to significant stressors across the lifespan either in a biventricular circulation in a sub-pulmonary or sub-aortic position, or as part of a univentricular circulation. These include pressure and/or volume overload, hypoxia, ischemia, and periprocedural surgical stress leading to remodeling, maladaptation, dilation hypertrophy and dysfunction. This review examines the macroscopic remodeling of the RV in various forms of CHD and explores remodeling trajectories, along with the effects of surgeries and residual lesion repair, in tetralogy of Fallot, Ebstein anomaly, congenitally corrected transposition of the great arteries, transposition of the great arteries with atrial switch surgery, and single ventricle palliated by Fontan.
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