1
|
Janker L, Schuster D, Bortel P, Hagn G, Meier-Menches SM, Mohr T, Mader JC, Slany A, Bileck A, Brunmair J, Madl C, Unger L, Hennlich B, Weitmayr B, Del Favero G, Pils D, Pukrop T, Pfisterer N, Feichtenschlager T, Gerner C. Multiomics-empowered Deep Phenotyping of Ulcerative Colitis Identifies Biomarker Signatures Reporting Functional Remission States. J Crohns Colitis 2023; 17:1514-1527. [PMID: 36961872 PMCID: PMC10588787 DOI: 10.1093/ecco-jcc/jjad052] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Indexed: 03/25/2023]
Abstract
INTRODUCTION Ulcerative colitis [UC] is a chronic disease with rising incidence and unclear aetiology. Deep molecular phenotyping by multiomics analyses may provide novel insights into disease processes and characteristic features of remission states. METHODS UC pathomechanisms were assessed by proteome profiling of human tissue specimens, obtained from five distinct colon locations for each of the 12 patients included in the study. Systemic disease-associated alterations were evaluated thanks to a cross-sectional setting of mass spectrometry-based multiomics analyses comprising proteins, metabolites, and eicosanoids of plasma obtained from UC patients during acute episodes and upon remission, in comparison with healthy controls. RESULTS Tissue proteome profiling indicated colitis-associated activation of neutrophils, macrophages, B and T cells, fibroblasts, endothelial cells and platelets, and hypoxic stress, and suggested a general downregulation of mitochondrial proteins accompanying the establishment of apparent wound healing-promoting activities including scar formation. Whereas pro-inflammatory proteins were apparently upregulated by immune cells, the colitis-associated epithelial cells, fibroblasts, endothelial cells, and platelets seemed to predominantly contribute anti-inflammatory and wound healing-promoting proteins. Blood plasma proteomics indicated chronic inflammation and platelet activation, whereas plasma metabolomics identified disease-associated deregulations of gut and gut microbiome-derived metabolites. Upon remission several, but not all, molecular candidate biomarker levels recovered back to normal. CONCLUSION The findings may indicate that microvascular damage and platelet deregulation hardly resolve upon remission, but apparently persist as disease-associated molecular signatures. This study presents local and systemic molecular alterations integrated in a model for UC pathomechanisms, potentially supporting the assessment of disease and remission states in UC patients.
Collapse
Affiliation(s)
- Lukas Janker
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Dina Schuster
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Patricia Bortel
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Gerhard Hagn
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Samuel M Meier-Menches
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna, Vienna, Austria
| | - Thomas Mohr
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna, Vienna, Austria
| | - Johanna C Mader
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Astrid Slany
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Andrea Bileck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna, Vienna, Austria
| | - Julia Brunmair
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Christian Madl
- Institute of Pathology and Microbiology, Krankenanstalt Rudolfstiftung, Vienna, Austria
| | - Lukas Unger
- Division of General Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Barbara Hennlich
- Institute of Pathology and Microbiology, Krankenanstalt Rudolfstiftung, Vienna, Austria
| | - Barbara Weitmayr
- Institute of Pathology and Microbiology, Krankenanstalt Rudolfstiftung, Vienna, Austria
| | - Giorgia Del Favero
- Core Facility Multimodal Imaging, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Dietmar Pils
- Department of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria
| | - Tobias Pukrop
- Department of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, Regensburg, Germany
| | - Nikolaus Pfisterer
- Institute of Pathology and Microbiology, Krankenanstalt Rudolfstiftung, Vienna, Austria
| | | | - Christopher Gerner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna, Vienna, Austria
| |
Collapse
|
2
|
Zou Q, Lai Y, Lun ZR. Exploring the Association between Oxygen Concentration and Life Expectancy in China: A Quantitative Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1125. [PMID: 36673882 PMCID: PMC9859324 DOI: 10.3390/ijerph20021125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/29/2022] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
The aim of this study was to investigate and quantify the association between oxygen concentration and life expectancy. The data from 34 provinces and 39 municipalities were included in all analyses. Bayesian regression modeling with spatial-specific random effects was used to quantify the impact of oxygen concentration (measured as partial pressure of oxygen) on life expectancy, adjusting for other potential confounding factors. We used hierarchical cluster analysis to group the provinces according to disease burden and analyzed the oxygen levels and the characteristics of causes of death between the clusters. The Bayesian regression analysis showed that the life expectancy at the provincial level increased by 0.15 (95% CI: 0.10-0.19) years, while at the municipal level, it increased by 0.17 (95% CI: 0.12-0.22) years, with each additional unit (mmHg) of oxygen concentration, after controlling for potential confounding factors. Three clusters were identified in the hierarchical cluster analysis, which were characterized by different oxygen concentrations, and the years of life lost from causes potentially related to hypoxia were statistically significantly different between the clusters. A positive correlation was found between oxygen concentration and life expectancy in China. The differences in causes of death and oxygen levels in the provincial clusters suggested that oxygen concentration may be an important factor in life expectancy when mediated by diseases that are potentially related to hypoxia.
Collapse
Affiliation(s)
- Qing Zou
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - Yingsi Lai
- Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
- Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou 510080, China
| | - Zhao-Rong Lun
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| |
Collapse
|