Tissue factor and PAR1 promote microbiota-induced intestinal vascular remodelling
NATURE
Authors: Reinhardt, Christoph; Bergentall, Mattias; Greiner, Thomas U.; Schaffner, Florence; Ostergren-Lunden, Gunnel; Petersen, Lars C.; Ruf, Wolfram; Backhed, Fredrik
Abstract
The gut microbiota is a complex ecosystem that has coevolved with host physiology. Colonization of germ-free (GF) mice with a microbiota promotes increased vessel density in the small intestine(1), but little is known about the mechanisms involved. Tissue factor (TF) is themembrane receptor that initiates the extrinsic coagulation pathway(2), and it promotes developmental and tumour angiogenesis(3,4). Here we show that the gut microbiota promotes TF glycosylation associated with localization of TF on the cell surface, the activation of coagulation proteases, and phosphorylation of theTFcytoplasmic domain in the small intestine. Anti-TF treatment of colonized GF mice decreased microbiota-induced vascular remodelling and expression of the proangiogenic factor angiopoietin-1 (Ang-1) in the small intestine. Mice with a genetic deletion of theTFcytoplasmic domain or with hypomorphic TF (F3) alleles had a decreased intestinal vessel density. Coagulation proteases downstream of TF activate protease-activated receptor (PAR) signalling implicated in angiogenesis(5). Vesseldensity and phosphorylation of the cytoplasmic domain of TF were decreased in small intestine fromPAR1-deficient (F2r(-/-)) but not PAR2-deficient (F2rl1(-/-)) mice, and inhibition of thrombin showed that thrombin-PAR1 signalling was upstream of TF phosphorylation. Thus, the microbiota-induced extravascular TF-PAR1 signalling loop is a novel pathway thatmay bemodulated to influence vascular remodelling in the small intestine.
Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers
JOURNAL OF TRANSLATIONAL MEDICINE
Authors: Li, Rui; Yang, Yi-E; Yin, Yun-Hong; Zhang, Meng-Yu; Li, Hao; Qu, Yi-Qing
Abstract
Background: DNA methylation can regulate the role of long noncoding RNAs (lncRNAs) in the development of lung adenocarcinoma (LUAD). The present study aimed to identify methylation-driven lncRNAs and mRNAs as biomarkers in the prognosis of LUAD using bioinformatics analysis. Methods: Differentially expressed RNAs were obtained using the edge R package from 535 LUAD tissues and 59 adjacent non-LUAD tissues. Differentially methylated genes were obtained using the limma R package from 475 LUAD tissues and 32 adjacent non-LUAD tissues. Methylation-driven mRNA and lncRNA were obtained using the MethylMix R package from 465 LUAD tissues with matched DNA methylation and RNA expression and 32 non-LUAD tissues with DNA methylation. Gene ontology and ConsensusPathDB pathway analysis were performed to identify functional enrichment of methylation-driven mRNAs. Univariate and multivariate Cox regression analyses were performed to identify the independent effect of each variable for predicting the prognosis of LUAD. Kaplan-Meier curve analysis of DNA methylation and gene expression might provide potential prognostic biomarkers for LUAD patients. Results: A total of 99 methylation-driven mRNAs and 17 methylation-driven lncRNAs were obtained. Univariate and multivariate Cox regression analysis showed that 6 lncRNAs (FOXE1, HOXB13-AS1_2, VMO1, HIST1H3F, AJ003147.8, ASXL3) were retrieved to construct a predictive model associated with overall survival in LUAD patients. Combined DNA methylation and gene expression survival analysis revealed that 4 lncRNAs (AC023824.1, AF186192.1, LINC01354 and WASIR2) and 8 mRNAs (S1PR1, CCDC181, F2RL1, EFS, KLHDC9, MPV17L, GKN2, ITPRIPL1) might act as independent biomarkers for the prognosis of LUAD. Conclusions: Methylation-driven lncRNA and mRNA contribute to the survival of LUAD, and 4 lncRNAs and 8 mRNAs might be potential biomarkers for the prognosis of LUAD.