Search bioRxiv⌕ Search

Biology subjects

Jiang, X.-T.

Publications and source records attributed to Jiang, X.-T..

2 recordsLinked to original sources

NOD1 ligand FK565 promotes atherogenesis and accumulation of NOD1high smooth muscle cells in atherosclerotic lesions

AimsNucleotide-binding oligomerization domain-containing protein (NOD)1 is an intracellular pattern recognition receptor that initiates immune responses upon ligation of molecules such as bacterial peptidoglycan containing a D-glutamyl-meso-diaminopimelic acid (iE-DAP) moiety. NOD1 ligation has been shown to promote vascular inflammation and atherosclerosis. In this study, we investigate the functional role of NOD1 in atherosclerotic plaques and characterize the vascular cells responsible for NOD1 expression and function. Methods and resultsNOD1 was mainly expressed in a subtype of vascular smooth muscle cells (SMC) in human atherosclerotic lesions. In ex vivo cultures, human endarterectomy specimens reacted to NOD1 ligand by activation of mitogen-activated protein kinase (MAPK) pathways, leading to cytokine expression. Levels of NOD1 mRNA were higher in carotid endarterectomy specimens obtained from symptomatic patients compared to asymptomatic ones. NOD1high SMC were also found in arteries of atherosclerosis-prone Ldlr-/- mice. Challenging these mice with a NOD1 agonist resulted in transmural vascular inflammation, severe arterial damage, accelerated atherogenesis throughout the aorta, and evidence of occlusive coronary artery disease. In rats, mechanic injury to carotid arteries promoted NOD1high SMC expansion and neointima formation. In vitro, neointima derived NOD1high SMCs responded to NOD1 ligand exposure by enhanced migration, increased iNOS+ cells and amplified CCL5 production. ConclusionOur findings show that NOD1 promotes vascular inflammation, vascular injury responses and atherosclerosis by acting on a NOD1high subtype of SMC.

immunology↗

AQMM: Enabling Absolute Quantification of Metagenome and Metatranscriptome

Metatranscriptome has become increasingly important along with the application of next generation sequencing in the studies of microbial functional gene activity in environmental samples. However, the quantification of target active gene is hindered by the current relative quantification methods, especially when tracking the sharp environmental change. Great needs are here for an easy-to-perform method to obtain the absolute quantification. By borrowing information from the parallel metagenome, an absolute quantification method for both metagenomic and metatranscriptomic data to per gene/cell/volume/gram level was developed. The effectiveness of AQMM was validated by simulated experiments and was demonstrated with a real experimental design of comparing activated sludge with and without foaming. Our method provides a novel bioinformatic approach to fast and accurately conduct absolute quantification of metagenome and metatranscriptome in environmental samples. The AQMM can be accessed from https://github.com/biofuture/aqmm.

bioinformatics↗