Results 21 to 30 of about 149 (148)
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong+20 more
wiley +1 more source
The bottom‐up strategy based on multiomics data is used for the SynCom design, and it successfully inhibited F. nucleatum growth and achieved stable colonization in vivo. In addition, it promoted tryptophan metabolism and secondary bile acid conversion, reduced lipid accumulation, relieved microbiome disorder, decreased inflammatory reaction, and ...
Zhongkun Zhou+11 more
wiley +1 more source
Metabolomics for the masses: The future of metabolomics in a personalized world [PDF]
Current clinical practices focus on a small number of biochemical directly related to the pathophysiology with patients and thus only describe a very limited metabolome of a patient and fail to consider the interations of these small molecules.
Trivedi, Drupad+2 more
openaire +3 more sources
Targeting miRNA‐1a and miRNA‐15b: A Novel Combinatorial Strategy to Drive Adult Cardiac Regeneration
The article explores a novel therapeutic strategy for cardiac regeneration by targeting miRNA‐1a and miRNA‐15b. Combinatorial inhibition of miR‐1a and miR‐15b enhances cardiomyocyte proliferation, improves heart function, and reduces fibrosis in myocardial infarction models.
Ting Yuan+16 more
wiley +1 more source
Deep metabolome: Applications of deep learning in metabolomics
In the past few years, deep learning has been successfully applied to various omics data. However, the applications of deep learning in metabolomics are still relatively low compared to others omics. Currently, data pre-processing using convolutional neural network architecture appears to benefit the most from deep learning.
Johannes F. Fahrmann+5 more
openaire +4 more sources
The biosynthetic mechanism of novel natural tetramic acid S‐TeA in Alternaria alternata is elucidated. Threonine acts as a precursor for 2‐amino‐3‐methylhexanoic acid (AMHA) synthesis via eight key enzymes from the branched‐chain amino acid biosynthetic pathway in the mitochondrion, wherein three unique enzymes (IPMS, IPMDH, and ISMD) play critical ...
He Wang+9 more
wiley +1 more source
Salivary metabolic signatures associated with lung cancer are systematically characterized through a self‐developed high‐throughput mass spectrometry Lab‐on‐a‐Chip platform. Utilizing these metabolic fingerprints, SalivaMLD, an integrated machine‐learning‐driven classification model is developed and demonstrates superior performance in detecting lung ...
Shuang Lin+17 more
wiley +1 more source
Enhanced mitochondrial activity reshapes a gut microbiota profile that delays NASH progression
Improved mitochondrial activity, due to the lack of methylation‐controlled J protein (MCJ), creates a specific microbiota signature that when transferred through cecal microbiota transplantation delays NASH progression by restoring the gut‐liver axis and enhancing hepatic fatty acid oxidation.
María Juárez‐Fernández+18 more
wiley +1 more source
A pangenome analysis of the plant pathogen Pseudomonas syringae reveals two novel natural product families that facilitate niche adaptation. Comprehensive genomic and chemical analyses uncover unique biosynthetic gene clusters linked to host specificity and environmental fitness.
Shuaibing Zhang+7 more
wiley +2 more sources
Bacterial pneumonia is the sixth leading cause of death. In this study, an inhalable polymeric nanoparticle NPFCPS‐P is developed, which under US stimulation showed high efficacy in the treatment of acute bacterial pneumonia. This nanoplatform would be much less prone to select bacterial resistance and represented a promising measure for antibiotics ...
Lin Wang+6 more
wiley +1 more source