CBS 2019
CBSMD教育中心
中 文

Transcatheter Aortic Valve Replacement

Abstract

Recommended Article

Thrombotic Versus Bleeding Risk After Transcatheter Aortic Valve Replacement: JACC Review Topic of the Week Comparison of 1-Year Pre- And Post-Transcatheter Aortic Valve Replacement Hospitalization Rates: A Population-Based Cohort Study Impact of myocardial fibrosis on left ventricular remodelling, recovery, and outcome after transcatheter aortic valve implantation in different haemodynamic subtypes of severe aortic stenosis Relationship between B-type natriuretic peptide and invasive haemodynamics in patients with severe aortic valve stenosis Transcatheter Aortic Valve Replacement vs Surgical Replacement in Patients With Pure Aortic Insufficiency Transcatheter Aortic Valve Replacement During Pregnancy Prognostic implications of baseline 6‐min walk test performance in intermediate risk patients undergoing transcatheter aortic valve replacement Randomized Evaluation of TriGuard 3 Cerebral Embolic Protection After Transcatheter Aortic Valve Replacement: REFLECT II
|<<... 11 12 13 14 15 16 17 ...>>|

Original Research2021 Mar 22.

JOURNAL：J Proteome Res. Article Link

Metabolic Interactions and Differences between Coronary Heart Disease and Diabetes Mellitus: A Pilot Study on Biomarker Determination and Pathogenesis

WP Liu, PF Guo, T Dai Keywords: diabetes coronary heart disease metabolomics metabolism

ABSTRACT

Comprehensive understanding of plasma metabotype of diabetes mellitus (DM), coronary heart disease (CHD), and especially diabetes mellitus with coronary heart disease (CHDDM) is still lacking. In this work, the plasma metabolic differences and links of DM, CHD, and CHDDM patients were investigated by the strategy of comparative metabolomics based on 1H NMR spectroscopy combined with network analysis for revealing their metabolic differences. A total of 17 metabolites are related to three diseases, among which valine, alanine, leucine, isoleucine, and N-acetyl-glycoprotein are positively correlated with CHD and CHDDM (odds ratios (OR) > 1). The trimethylamine oxide, glycerol, lactose, indoleacetate, and scyllo-inositol are closely related to the development of DM to CHDDM (OR > 1), and indoleactate (OR: 1.06, 95% confidence interval (CI): 1.01–1.12) and lactose (OR: 2.46, 95% CI: 1.67–3.25) are particularly prominent in CHDDM. We identified three multi-biomarkers types that were significantly associated with glycosylated hemoglobin (HbA1C) at baseline. All diseases demonstrated dysregulated glycolysis/gluconeogenesis and amino acid biosynthesis pathway. In addition, enrichment in tryptophan metabolism observed in CHDDM, enrichment in inositol phosphate metabolism observed in DM, and the metabolites related to microbiota metabolism were dysregulated in both DM and CHDDM. The comparative metabolomics strategy of multi-diseases offers a new perspective in disease-specific markers and pathogenic pathways.
>CBS CBS 2019

> CBS 2019 REGISTRATION

> CBS 2019 PROGRAM

> CBS 2019 CALL FOR SCIENCE

> CBS 2019 SPOTLIGHTS

 CBSMD

> CBSMD WEBSITE REGISTRATION

> EDUCATION CENTER

> RECOMMANDED PAPER

> TOP 10 RESEARCH PAPER

> PRE-READING

CBS 2019 CBS 2019 FACULTY Education Resource CBSMD Scientific Library
Copyright ⓒ CBS MD Nanjing China. All rights reserved. 京ICP备16025898号-11
联系我们| Top