- Advanced Proteomics Techniques and Applications
- Bladder and Urothelial Cancer Treatments
- Chronic Kidney Disease and Diabetes
- Protein Hydrolysis and Bioactive Peptides
- Sodium Intake and Health
- Peptidase Inhibition and Analysis
- Ferroptosis and cancer prognosis
- Epigenetics and DNA Methylation
- Diabetes Treatment and Management
- Mass Spectrometry Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Renal Diseases and Glomerulopathies
- Cancer, Lipids, and Metabolism
- Neuropeptides and Animal Physiology
- Single-cell and spatial transcriptomics
- Systemic Sclerosis and Related Diseases
- Cholesterol and Lipid Metabolism
- Renal cell carcinoma treatment
- Advanced Glycation End Products research
- Cancer Research and Treatments
- Dialysis and Renal Disease Management
- Liver Disease Diagnosis and Treatment
- Hormonal Regulation and Hypertension
- Occupational exposure and asthma
RWTH Aachen University
2021-2024
Mosaiques Diagnostics and Therapeutics (Germany)
2021-2024
Universitätsklinikum Aachen
2023-2024
Academy of Athens
2020-2022
Biomedical Research Foundation of the Academy of Athens
2020-2022
Agricultural University of Athens
2019
DNA/RNA-based classification of bladder cancer (BC) supports the existence multiple molecular subtypes, while investigations at protein level are scarce. Here, we aimed to investigate if Nonmuscle Invasive Bladder Cancer (NMIBC) can be stratified biologically meaningful groups based on proteome. Tissue specimens from 117 patients primary diagnosis (98 with NMIBC and 19 MIBC), were processed for high-resolution proteomics analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS)....
In recent years, capillary electrophoresis coupled to mass spectrometry (CE-MS) has been increasingly applied in clinical research especially the context of chronic and age-associated diseases, such as kidney disease, heart failure cancer. Biomarkers identified using this technique are already used for diagnosis, prognosis monitoring these complex well patient stratification trials. CE-MS allows a comprehensive assessment small molecular weight proteins peptides (<20 kDa) through combination...
Non-invasive urinary peptide biomarkers are able to detect and predict chronic kidney disease (CKD). Moreover, specific peptides enable discrimination of different CKD etiologies offer an interesting alternative invasive biopsy, which cannot always be performed. The aim this study was define a classifier using mass spectrometry technology the degree renal interstitial fibrosis tubular atrophy (IFTA) in patients. profiles 435 patients enrolled were analyzed capillary electrophoresis coupled...
Collagen is a major component of the extracellular matrix (ECM) and has an imminent role in fibrosis, in, among others, chronic kidney disease (CKD). alpha-1(I) (col1a1) most abundant collagen type previously been underlined for its contribution to phenotype. Here, we examined 5000 urinary peptidomic datasets randomly selected from healthy participants or patients with CKD identify col1a1 fragments study their abundance, position main protein, as well correlation renal function. We...
ABSTRACT Background and hypothesis Specific urinary peptides hold information on disease pathophysiology, which, in combination with artificial intelligence, could enable non-invasive assessment of chronic kidney (CKD) aetiology. Existing approaches are generally specific for the diagnosis single aetiologies. We present development models able to simultaneously distinguish spatially visualize multiple CKD Methods The peptide data 1850 healthy control (HC) [diabetic (DKD), immunoglobulin A...
Despite advancements in molecular classification, tumor stage and grade still remain the most relevant prognosticators used by clinicians to decide on patient management. Here, we leverage publicly available data characterize bladder cancer (BLCA)'s biology based increased sample sizes, identify potential therapeutic targets, extract putative biomarkers. A total of 1135 primary BLCA transcriptomes from 12 microarray studies were compiled a meta-cohort analyzed for monotonal alterations...
ABSTRACT Background The risk of diabetic kidney disease (DKD) progression is significant despite treatment with renin–angiotensin system (RAS) blocking agents. Current clinical tools cannot predict whether or not patients will respond to RAS inhibitors (RASi). We aimed investigate proteome analysis could identify urinary peptides as biomarkers that the response angiotensin-converting enzyme inhibitor and angiotensin-receptor blockers avoid DKD progression. Furthermore, we investigated...
Abstract Previous studies have established the association of sex with gene and protein expression. This study investigated abundance endogenous urinary peptides, using capillary electrophoresis‐coupled to mass spectrometry (CE‐MS) datasets from 2008 healthy individuals patients type II diabetes, divided in one discovery two validation cohorts. Statistical analysis Mann–Whitney test, adjusted for multiple testing, revealed 143 sex‐associated peptides cohort. Of these, 90 were associated at...
Abstract Purpose Prostate cancer (PCa) is the most frequently diagnosed in men. One major clinical need to accurately predict clinically significant PCa (csPCa). A proteomics based 19-biomarker model (19-BM) was previously developed using Capillary Electrophoresis-Mass Spectrometry (CE-MS) and validated 1000 patients at risk for PCa. Here, our objective validate 19-BM a multicentre prospective cohort of 101 biopsy-naive current diagnostic pathways. Materials Methods Urine samples from were...
Objectives: Hypertension is a common condition worldwide; however, its underlying mechanisms remain largely unknown. This study aimed to identify urinary peptides associated with hypertension further explore the relevant molecular pathophysiology. Methods: Peptidome data from 2876 individuals without end-organ damage were retrieved Human Urinary Proteome Database, belonging general population (discovery) or type 2 diabetic (validation) cohorts. Participants divided based on systolic blood...
Given the pathophysiological continuum of chronic kidney disease (CKD), different molecular determinants affecting progression may be associated with distinct phases; thus, identification these players are crucial for guiding therapeutic decisions, ideally in a non-invasive, repeatable setting. Analyzing urinary peptidome has been proven an efficient method biomarker determination CKD, among other diseases. In this work, after applying several selection criteria, urine samples from 317 early...
Millions of people worldwide currently suffer from chronic kidney disease (CKD), requiring replacement therapy at the end stage. Endeavors to better understand CKD pathophysiology an omics perspective have revealed major molecular players in several sample sources. Focusing on non-invasive sources, gut microbial communities appear be disturbed CKD, while numerous human urinary peptides are also dysregulated. Nevertheless, studies often focus isolated techniques, thus potentially missing...
Catheter-based renal denervation (RDN) reduces blood pressure in hypertension. Urinary peptides are associated with cardiovascular and disease provide prognostic information. We aimed to investigate the effect of RDN on urinary peptide-based classifiers chronic kidney heart identify affected by RDN.
INTRODUCTIONː Prostate cancer (PCa) is the most frequently diagnosed among men. A major clinical need to accurately predict clinically significant PCa (csPCa). proteomics-based 19-biomarker model (19-BM) was previously developed using capillary electrophoresis-mass spectrometry (CE-MS) and validated in 1000 patients at risk for PCa. This study aimed validate 19-BM a multicenter prospective cohort of 101 biopsy-naive current diagnostic pathways. METHODSː Urine samples from with were analyzed...
Abstract Aim Type II Diabetes mellitus (T2DM) accounts for approximately 90% of all DM cases in the world; and is diagnosed with increased levels blood glucose or hyperglycemia. Glucagon-like peptide-1 receptor (GLP-1R) agonists have established an capability to target directly indirectly six core defects associated T2DM, while, underlying molecular mechanisms these pharmacological effects are not fully known. This exploratory study was conducted analyze effect treatment GLP-1R on urinary...
Abstract Background The impact of artificial intelligence combined with advanced techniques is ever-increasing in the biomedical field appearing promising, among others, chronic kidney disease (CKD) diagnosis. However, existing models are often single-aetiology specific. Proposed here a pipeline for development single able to distinguish and spatially visualize multiple CKD aetiologies. Methods Acquired were from Human Urinary Proteome Database urinary peptide data 1850 healthy control (HC)...
Previous studies have established the association of sex with gene and protein expression. This study investigated abundance endogenous urinary peptides, using capillary electrophoresis-coupled to mass spectrometry datasets from 2008 healthy individuals patients type II diabetes, divided in one discovery two validation cohorts. Statistical analysis Mann-Whitney test, adjusted for multiple testing, revealed 143 sex-associated peptides cohort. Of these, 90 were associated at least cohorts...
Type II diabetes mellitus (T2DM) accounts for approximately 90% of all cases in the world. Glucagon-like peptide-1 receptor (GLP-1R) agonists have established an increased capability to target directly or indirectly six core defects associated with T2DM, while, underlying molecular mechanisms these pharmacological effects are not fully known. This exploratory study was conducted analyze effect treatment GLP-1R on urinary peptidome T2DM patients. Urine samples thirty-two patients from...
Type II diabetes mellitus (T2DM) accounts for approximately 90% of all cases in the world. Glucagon-like peptide-1 receptor (GLP-1R) agonists have established an increased capability to target directly or indirectly six core defects associated with T2DM, while underlying molecular mechanisms these pharmacological effects are not fully known. This exploratory study was conducted analyze effect treatment GLP-1R on urinary peptidome T2DM patients. Urine samples thirty-two patients from PROVALID...
Abstract BACKGROUND Hypertension is a common condition worldwide, yet its underlying mechanisms remain largely unknown. This study aims at identifying urinary peptides associated with hypertension to further explore molecular pathophysiology. METHODS Peptidome data from 2876 individuals without end-organ damage were retrieved the Human Urinary Proteome Database general population (discovery) or type 2 diabetic (validation) cohorts. Participants divided based on systolic and diastolic blood...
Abstract Recent investigations, mainly at the DNA/RNA levels, of muscle-invasive (MIBC) and non-muscle invasive bladder cancer (NMIBC) highlighted existence molecular subtypes exhibiting diverse levels aggressiveness. Studies protein level are scarce but needed to enhance present findings fill existing gaps. The objective our work is subtype NMIBC proteomic place it in context classification schemes, targeting ultimately define optimal patient management. One hundred seventeen fresh-frozen...
ABSTRACT Despite advancements in therapeutics, Bladder Cancer (BLCA) constitutes a major clinical burden, with locally advanced and metastatic cases facing poor survival rates. Aiming at expanding our knowledge of BLCA molecular pathophysiology, we integrated 1,508 publicly available, primary, well-characterized transcriptomes investigated alterations gene expression stage (T0-Ta-T1-T2-T3-T4). We identified 157 genes several pathways related prominently cell cycle, showing monotonically up-...