Biology subjects

Narayana, V. K.

Publications and source records attributed to Narayana, V. K..

3 recordsLinked to original sources

bioRxiv2023

Matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted MALDI-TOF mass spectrometry imaging

Matrix-assisted laser desorption/ionization mass spectrometry imaging allows the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by comparative analysis of lipid and small molecule abundance using liquid chromatography-mass spectrometry and RNA-sequencing assessing differential metabolites between normal and tumor regions. Our findings indicate that the recrystallized cyano-4-hydroxycinnamic acid matrix in positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.

molecular biology↗

bioRxiv2023

Divergent roles for caspase-8 and MLKL in high-fat diet induced obesity and NAFLD in mice

Cell death frequently occurs in the pathogenesis of obesity and non-alcoholic fatty liver disease (NAFLD). However, the exact contribution of core cell death machinery to disease manifestations remains ill-defined. Here, we show via the direct comparison of mice genetically deficient in apoptotic caspase-8 in myeloid cells, or the essential necroptotic regulators, Receptor-interacting protein kinase-3 (RIPK3) and Mixed lineage kinase domain-like (MLKL), that RIPK3-caspase-8 signaling regulates macrophage inflammatory responses and drives adipose tissue inflammation and NAFLD upon high-fat diet feeding. In contrast, MLKL, divergent to RIPK3, contributes to both obesity and NAFLD in a manner largely independent of inflammation. We also uncover that MLKL regulates the expression of molecules involved in lipid uptake, transport and metabolism and, congruent with this, we discover a shift in the hepatic lipidome upon MLKL deletion. Collectively, these findings highlight MLKL as an attractive therapeutic target to combat the growing obesity pandemic and metabolic disease.

immunology↗

bioRxiv2019

Microbe-metabolite associations linked to the rebounding murine gut microbiome post-colonization with vancomycin resistant Enterococcus faecium

Vancomycin resistant Enterococcus faecium (VREfm) is an emerging antibiotic resistant pathogen. Strain-level investigations are beginning to reveal the molecular mechanisms used by VREfm to colonize regions of the human bowel. However, the role of commensal bacteria during VREfm colonization, in particular following antibiotic treatment, remains largely unknown. We employed amplicon 16S rRNA gene sequencing and metabolomics in a murine model system to try and investigate functional roles of the gut microbiome during VREfm colonization. First-order taxonomic shifts between Bacteroidetes and Tenerricutes within the gut microbial community composition were detected both in response to pretreatment using ceftriaxone, and to subsequent VREfm challenge. Using neural networking approaches to find co-occurrence profiles of bacteria and metabolites, we detected key metabolome features associated with butyric acid during and after VREfm colonization. These metabolite features were associated with Bacteroides, indicative of a transition towards a pre-antibiotic naive microbiome. This study shows the impacts of antibiotics on the gut ecosystem, and the progression of the microbiome in response to colonisation with VREfm. Our results offer insights towards identifying potential non-antibiotic alternatives to eliminate VREfm through metabolic re-engineering to preferentially select for Bacteroides. ImportanceThis study demonstrates the importance and power of linking bacterial composition profiling with metabolomics to find the interactions between commensal gut bacteria and a specific pathogen. Knowledge from this research will inform gut microbiome engineering strategies, with the aim of translating observations from animal models to human-relevant therapeutic applications.

microbiology↗