A5085990218- Polyomavirus and related diseases
- Bacteriophages and microbial interactions
- Plant Virus Research Studies
- Hepatitis B Virus Studies
- Hepatitis C virus research
- Microwave Engineering and Waveguides
- vaccines and immunoinformatics approaches
- Antenna Design and Analysis
- Full-Duplex Wireless Communications
- HIV Research and Treatment
- Bayesian Methods and Mixture Models
- Animal Virus Infections Studies
- Liver Disease Diagnosis and Treatment
- HIV/AIDS Research and Interventions
- HIV-related health complications and treatments
- Immunotherapy and Immune Responses
- Gaussian Processes and Bayesian Inference
- Domain Adaptation and Few-Shot Learning
- Bayesian Modeling and Causal Inference
- Management and Organizational Studies
- Statistical Methods and Inference
- Hepatitis Viruses Studies and Epidemiology
- Opinion Dynamics and Social Influence
- T-cell and B-cell Immunology
University of Duisburg-Essen
2020-2024
Heinrich Heine University Düsseldorf
2024
Düsseldorf University Hospital
2024
Merkel cell carcinoma (MCC) is an aggressive neuroendocrine skin cancer, which can be effectively controlled by immunotherapy with PD-1/PD-L1 checkpoint inhibitors. However, a significant proportion of patients are characterized primary therapy resistance. Predictive biomarkers for response to lacking.We applied Bayesian inference analyses on 41 MCC testing various clinical and biomolecular characteristics predict treatment response. Further, we performed comprehensive analysis tumor...
Background Based on its viral-associated or UV-associated carcinogenesis, Merkel cell carcinoma (MCC) is a highly immunogenic skin cancer. Thus, clinically evident MCC occurs either in immuno-compromised patients based tumor-intrinsic immune escape mechanisms. This notion may explain that although advanced can be effectively restrained by treatment with PD-1/PD-L1 checkpoint inhibitors (ICIs), considerable percentage of does not benefit from ICI therapy. Biomarkers predicting response are...
Neural amortized Bayesian inference (ABI) can solve probabilistic inverse problems orders of magnitude faster than classical methods. However, neural ABI is not yet sufficiently robust for widespread and safe applicability. In particular, when performing on observations outside the scope simulated data seen during training, example, because model misspecification, posterior approximations are likely to become highly biased. Due bad pre-asymptotic behavior current estimators in...
Immune activation is a significant contributor to HIV pathogenesis and disease progression. In virally-suppressed individuals on ART, low-level immune has been linked several non-infectious comorbid diseases. However, studies have not systematically performed in sub-Saharan Africa thus the impact of demographics, ART regional endemic co-infections known. We therefore comprehensively evaluated large multinational African cohort markers for its distribution various settings.2747 specimens from...
Immune responses by CD8 T cells are essential for control of HBV replication. Although selection escape mutations in T-cell epitopes has been previously described infection, its overall influence on sequence diversity and correlation with markers replication remain unclear. Whole-genome sequencing was applied to isolates from 532 patients chronic infection high-resolution HLA class I genotyping. Using a Bayesian model (HAMdetector) identification HLA-associated mutational states (HAMs), the...
Introduction The Hepatitis Delta Virus (HDV) is a defective, single-stranded RNA virusoid encoding for single protein, the Antigen (HDAg), which requires hepatitis B virus (HBV) envelope protein (HBsAg) its transmission. Currently, D most aggressive form of viral and treatment options are limited. Worldwide 12 million people chronically infected with HDV being at high risk progression to cirrhosis development liver cancer. Objectives Although it well established that Mongolia country highest...
Abstract Motivation A key process in anti-viral adaptive immunity is that the human leukocyte antigen (HLA) system presents epitopes as major histocompatibility complex I (MHC I) protein–peptide complexes on cell surfaces and this way alerts CD8+ cytotoxic T-lymphocytes (CTLs). This pathway exerts strong selection pressure viruses, favoring viral mutants escape recognition by HLA/CTL system. Naturally, such immune mutations often emerge highly variable e.g. HIV or HBV, HLA-associated (HAMs),...
Although selection of escape mutations in CD8 T cell epitopes has been previously described HBV infection, the overall impact pressure and its influence on sequence diversity remains unclear. Here, we applied whole-genome sequencing to isolates from 532 HLA class I genotyped patients detected HLA-associated viral genomes (HAMs) using a Bayesian model (HAMdetector).
Multilevel models (MLMs) are a central building block of the Bayesian workflow. They enable joint, interpretable modeling data across hierarchical levels and provide fully probabilistic quantification uncertainty. Despite their well-recognized advantages, MLMs pose significant computational challenges, often rendering estimation evaluation intractable within reasonable time constraints. Recent advances in simulation-based inference offer promising solutions for addressing complex using deep...
Background: Immune activation is a significant contributor to HIV pathogenesis and disease progression. In virally-suppressed individuals on ART, low-level immune has been linked several non-infectious comorbid diseases. However, studies have not systematically performed in sub-Saharan Africa thus the impact of demographics, ART regional endemic co-infections known. We therefore comprehensively evaluated large multinational African cohort markers for its distribution various settings....
<p>Supplementary Table S2. Detailed patient characteristics at baseline, during anti-PD-1/PD-L1 therapy, and in follow-up</p>
<p>Supplementary Figure S1. CONSORT diagram of the experimental study design.</p>
<p>Supplementary material (Bayes Analysis)</p>
<p>Supplementary Table S3. Differentially expressed genes between responders and non-responders</p>
<p>Supplementary Figure F4. GLIPH analysis for TCRB of TIL clustering the CDR3 sequence into convergence groups assumed to react with same peptide/MHC class I complex 5 patients.</p>
<p>Supplementary Figure S2. Impact of TIL characteristics on anti-PD-1/PD-L1 treatment response MCC patients.</p>
<p>Supplementary Figure S3. Higher prevalence of central memory T cells among TILs responders.</p>
<p>Supplementary Table S1. Antibodies and procedures used for multiplexed immunofluorescence staining</p>
<p>Supplementary Figure F4. GLIPH analysis for TCRB of TIL clustering the CDR3 sequence into convergence groups assumed to react with same peptide/MHC class I complex 5 patients.</p>
<p>Supplementary Table S3. Differentially expressed genes between responders and non-responders</p>
<p>Supplementary material (Bayes Analysis)</p>
<p>Supplementary Figure S3. Higher prevalence of central memory T cells among TILs responders.</p>
<div>AbstractPurpose:<p>Merkel cell carcinoma (MCC) is an aggressive neuroendocrine skin cancer, which can be effectively controlled by immunotherapy with PD-1/PD-L1 checkpoint inhibitors. However, a significant proportion of patients are characterized primary therapy resistance. Predictive biomarkers for response to lacking.</p>Experimental Design:<p>We applied Bayesian inference analyses on 41 MCC testing various clinical and biomolecular characteristics predict...
<div>AbstractPurpose:<p>Merkel cell carcinoma (MCC) is an aggressive neuroendocrine skin cancer, which can be effectively controlled by immunotherapy with PD-1/PD-L1 checkpoint inhibitors. However, a significant proportion of patients are characterized primary therapy resistance. Predictive biomarkers for response to lacking.</p>Experimental Design:<p>We applied Bayesian inference analyses on 41 MCC testing various clinical and biomolecular characteristics predict...