Pathogenesis of colorectal cancer (CRC) is associated with alterations in gut microbiome. Previous studies have focused on the changes of taxonomic abundances by metagenomics. Variations of the function of intestinal bacteria in CRC patients compared to healthy crowds remain largely unknown. Here we collected fecal samples from CRC patients and healthy volunteers and characterized their microbiome using quantitative metaproteomic method. We have identified and quantified 91,902 peptides, 30,062 gut microbial protein groups, and 195 genera of microbes. Among the proteins, 341 were found significantly different in abundance between the CRC patients and the healthy volunteers. Microbial proteins related to iron intake/transport; oxidative stress; and DNA replication, recombination, and repair were significantly alternated in abundance as a result of high local concentration of iron and high oxidative stress in the large intestine of CRC patients. Our study shows that metaproteomics can provide functional information on intestinal microflora that is of great value for pathogenesis research, and can help guide clinical diagnosis in the future.

Intracranial bacterial infection remains a major cause of morbidity and mortality in neurosurgical cases. Metabolomic profiling of cerebrospinal fluid (CSF) holds great promise to gain insights into the pathogenesis of central neural system (CNS) bacterial infections. In this pilot study, we analyzed the metabolites in CSF of CNS infection patients and controls in a pseudo-targeted manner, aiming at elucidating the metabolic dysregulation in response to postoperative intracranial bacterial infection of pediatric cases. Untargeted analysis uncovered 597 metabolites, and screened out 206 differential metabolites in case of infection. Targeted verification and pathway analysis filtered out the glycolysis, amino acids metabolism and purine metabolism pathways as potential pathological pathways. These perturbed pathways are involved in the infection-induced oxidative stress and immune response. Characterization of the infection-induced metabolic changes can provide robust biomarkers of CNS bacterial infection for clinical diagnosis, novel pathways for pathological investigation, and new targets for treatment.

Macrophage-derived foam cell plays a pivotal role in the plaque formation and rupture during the progression of atherosclerosis. Foam cells are destined to divergent cell fate and functions in response to external stimuli based on their internal states, which however is hidden in the traditional studies based on population of cells. Herein, we used time-resolved and single-cell multi-omics to investigate the macrophage heterogeneity along foam cell formation. Dynamic metabolome and lipidome outlined the dual regulating axis of inflammation and ferroptosis. Single cell metabolomics and lipidomics further demonstrated a macrophage continuum featuring a differed susceptibility to apoptosis and ferroptosis. Using single-cell transcriptomic profiling, we verified the divergent cell fate toward apoptosis or ferroptosis. Therefore, the molecular choreography underlying the divergent cell fate during foam cell formation was revealed, which is of high significance for the understanding of the pathogenesis of atherosclerosis and development of new drug targets.