Patient-cohort- and observational clinical studies
Although in clinical practice many infections can be diagnosed reliably,it is often difficult to predict the clinical course of an individual patient. By analyzing many patients with similar infectious diseases, so called cohort studies, we can learn more about pathogenesis and factors that affect clinical course and outcome. Additionally, by analysing of patients treated with the same drug valuable information about the mode of action, efficacy, and adverse effects of the drug within the human body can be retrieved.
Many infants contract a respiratory syncytial virus (RSV) infection within their first months of life. In most cases these infections take a benign course. However, some infants develop severe disease with possible lethal consequences. We search for genetic markers that permit a prognosis of the course of infection in order to allocate preventive measure to those children at risk of severe disease.
- Translational case examples: RSV protection for infants
Infections of the central nervous system (CNS) can often not be distinguished on clinical grounds from non-infectious inflammatory disorders of this organ. Moreover, in many cases a causative pathogen cannot be identified. We are therefore searching for markers in cerebrospinal fluid (the fluid within and around the CNS and spinal cord) that will help in establishing diagnosis and prediction of clinical disease severity as early as possible.
Noroviruses are a major cause of gastroenteritis. Acute outbreaks, e.g. on cruise ships, and chronic infections in immunocompromised patients present a severe health risk. To date, no vaccine or specific treatment options exist. Using ‘machine learning’ methods and data intensive technology the PRESENt partners will identify individual predictive signatures for severe norovirus infection. The knowledge gained will ultimately guide the development of personalized strategies to individually predict, prevent and treat severe norovirus gastroenteritis.
Partners: TWINCORE, MHH, HZI, LUH, CiiM
In cohort-studies, we analyse the humoral immunity against the hepatits B virus. By differentiation of the immun responses against vaccination on the one hand and the natural immune response on the other hand, we can make statements about the spread of infection within population groups.
The elderly have a particularly high risk of developing a life-threatening influenza infection (“flu”). This is why seasonal influenza vaccination is recommended particularly for elderly individuals. However, efficacy of this vaccine decreases with advancing age. We are analyzing immune responses to influenza vaccination among elderly individuals. In particular, we are searching for markers that can predict the vaccine response even before vaccination. Our goal is to identify individuals with compromised immune function early on and to apply more special vaccination strategies tailored to the need of the individual.
- RG Biomarkers for Infectious Diseases - Predictive biomarkers for a poor immune response to influenza vaccination in elderly individuals
- Translational case example: Biomarker für die Grippeschutzimpfung älterer Menschen