@article{WhiteSpringerWiseetal.2022, author = {White, P. Lewis and Springer, Jan and Wise, Matt P. and Einsele, Hermann and L{\"o}ffler, Claudia and Seif, Michelle and Prommersberger, Sabrina and Backx, Matthijs and L{\"o}ffler, J{\"u}rgen}, title = {A clinical case of COVID-19-associated pulmonary aspergillosis (CAPA), illustrating the challenges in diagnosis (despite overwhelming mycological evidence)}, series = {Journal of Fungi}, volume = {8}, journal = {Journal of Fungi}, number = {1}, issn = {2309-608X}, doi = {10.3390/jof8010081}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-302438}, year = {2022}, abstract = {The COVID-19 pandemic has resulted in large numbers of patients requiring critical care management. With the established association between severe respiratory virus infection and invasive pulmonary aspergillosis (7.6\% for COVID-19-associated pulmonary aspergillosis (CAPA)), the pandemic places a significant number of patients at potential risk from secondary invasive fungal disease. We described a case of CAPA with substantial supporting mycological evidence, highlighting the need to employ strategic diagnostic algorithms and weighted definitions to improve the accuracy in diagnosing CAPA.}, language = {en} } @article{TappeLauruschkatStrobeletal.2022, author = {Tappe, Beeke and Lauruschkat, Chris D. and Strobel, Lea and Pantale{\´o}n Garc{\´i}a, Jezreel and Kurzai, Oliver and Rebhan, Silke and Kraus, Sabrina and Pfeuffer-Jovic, Elena and Bussemer, Lydia and Possler, Lotte and Held, Matthias and H{\"u}nniger, Kerstin and Kniemeyer, Olaf and Sch{\"a}uble, Sascha and Brakhage, Axel A. and Panagiotou, Gianni and White, P. Lewis and Einsele, Hermann and L{\"o}ffler, J{\"u}rgen and Wurster, Sebastian}, title = {COVID-19 patients share common, corticosteroid-independent features of impaired host immunity to pathogenic molds}, series = {Frontiers in Immunology}, volume = {13}, journal = {Frontiers in Immunology}, issn = {1664-3224}, doi = {10.3389/fimmu.2022.954985}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-283558}, year = {2022}, abstract = {Patients suffering from coronavirus disease-2019 (COVID-19) are susceptible to deadly secondary fungal infections such as COVID-19-associated pulmonary aspergillosis and COVID-19-associated mucormycosis. Despite this clinical observation, direct experimental evidence for severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2)-driven alterations of antifungal immunity is scarce. Using an ex-vivo whole blood stimulation assay, we challenged blood from twelve COVID-19 patients with Aspergillus fumigatus and Rhizopus arrhizus antigens and studied the expression of activation, maturation, and exhaustion markers, as well as cytokine secretion. Compared to healthy controls, T-helper cells from COVID-19 patients displayed increased expression levels of the exhaustion marker PD-1 and weakened A. fumigatus- and R. arrhizus-induced activation. While baseline secretion of proinflammatory cytokines was massively elevated, whole blood from COVID-19 patients elicited diminished release of T-cellular (e.g., IFN-γ, IL-2) and innate immune cell-derived (e.g., CXCL9, CXCL10) cytokines in response to A. fumigatus and R. arrhizus antigens. Additionally, samples from COVID-19 patients showed deficient granulocyte activation by mold antigens and reduced fungal killing capacity of neutrophils. These features of weakened anti-mold immune responses were largely decoupled from COVID-19 severity, the time elapsed since diagnosis of COVID-19, and recent corticosteroid uptake, suggesting that impaired anti-mold defense is a common denominator of the underlying SARS-CoV-2 infection. Taken together, these results expand our understanding of the immune predisposition to post-viral mold infections and could inform future studies of immunotherapeutic strategies to prevent and treat fungal superinfections in COVID-19 patients.}, language = {en} } @article{SeifEinseleLoeffler2019, author = {Seif, Michelle and Einsele, Hermann and L{\"o}ffler, J{\"u}rgen}, title = {CAR T cells beyond cancer: hope for immunomodulatory therapy of infectious diseases}, series = {Frontiers in Immunology}, volume = {10}, journal = {Frontiers in Immunology}, number = {2711}, issn = {1664-3224}, doi = {10.3389/fimmu.2019.02711}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-195596}, year = {2019}, abstract = {Infectious diseases are still a significant cause of morbidity and mortality worldwide. Despite the progress in drug development, the occurrence of microbial resistance is still a significant concern. Alternative therapeutic strategies are required for non-responding or relapsing patients. Chimeric antigen receptor (CAR) T cells has revolutionized cancer immunotherapy, providing a potential therapeutic option for patients who are unresponsive to standard treatments. Recently two CAR T cell therapies, Yescarta® (Kite Pharma/Gilead) and Kymriah® (Novartis) were approved by the FDA for the treatments of certain types of non-Hodgkin lymphoma and B-cell precursor acute lymphoblastic leukemia, respectively. The success of adoptive CAR T cell therapy for cancer has inspired researchers to develop CARs for the treatment of infectious diseases. Here, we review the main achievements in CAR T cell therapy targeting viral infections, including Human Immunodeficiency Virus, Hepatitis C Virus, Hepatitis B Virus, Human Cytomegalovirus, and opportunistic fungal infections such as invasive aspergillosis.}, language = {en} } @article{MortonFliesserDittrichetal.2014, author = {Morton, Charles Oliver and Fliesser, Mirjam and Dittrich, Marcus and M{\"u}ller, Tobias and Bauer, Ruth and Kneitz, Susanne and Hope, William and Rogers, Thomas Richard and Einsele, Hermann and L{\"o}ffler, J{\"u}rgen}, title = {Gene Expression Profiles of Human Dendritic Cells Interacting with Aspergillus fumigatus in a Bilayer Model of the Alveolar Epithelium/Endothelium Interface}, doi = {10.1371/journal.pone.0098279}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-112893}, year = {2014}, abstract = {The initial stages of the interaction between the host and Aspergillus fumigatus at the alveolar surface of the human lung are critical in the establishment of aspergillosis. Using an in vitro bilayer model of the alveolus, including both the epithelium (human lung adenocarcinoma epithelial cell line, A549) and endothelium (human pulmonary artery epithelial cells, HPAEC) on transwell membranes, it was possible to closely replicate the in vivo conditions. Two distinct sub-groups of dendritic cells (DC), monocyte-derived DC (moDC) and myeloid DC (mDC), were included in the model to examine immune responses to fungal infection at the alveolar surface. RNA in high quantity and quality was extracted from the cell layers on the transwell membrane to allow gene expression analysis using tailored custom-made microarrays, containing probes for 117 immune-relevant genes. This microarray data indicated minimal induction of immune gene expression in A549 alveolar epithelial cells in response to germ tubes of A. fumigatus. In contrast, the addition of DC to the system greatly increased the number of differentially expressed immune genes. moDC exhibited increased expression of genes including CLEC7A, CD209 and CCL18 in the absence of A. fumigatus compared to mDC. In the presence of A. fumigatus, both DC subgroups exhibited up-regulation of genes identified in previous studies as being associated with the exposure of DC to A. fumigatus and exhibiting chemotactic properties for neutrophils, including CXCL2, CXCL5, CCL20, and IL1B. This model closely approximated the human alveolus allowing for an analysis of the host pathogen interface that complements existing animal models of IA.}, language = {en} } @article{DixCzakaiSpringeretal.2016, author = {Dix, Andreas and Czakai, Kristin and Springer, Jan and Fliesser, Mirjam and Bonin, Michael and Guthke, Reinhard and Schmitt, Anna L. and Einsele, Hermann and Linde, J{\"o}rg and L{\"o}ffler, J{\"u}rgen}, title = {Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis}, series = {Frontiers in Microbiology}, journal = {Frontiers in Microbiology}, number = {7}, doi = {10.3389/fmicb.2016.00320}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165386}, pages = {320}, year = {2016}, abstract = {Invasive aspergillosis (IA) is a devastating opportunistic infection and its treatment constitutes a considerable burden for the health care system. Immunocompromised patients are at an increased risk for IA, which is mainly caused by the species Aspergillus fumigatus. An early and reliable diagnosis is required to initiate the appropriate antifungal therapy. However, diagnostic sensitivity and accuracy still needs to be improved, which can be achieved at least partly by the definition of new biomarkers. Besides the direct detection of the pathogen by the current diagnostic methods, the analysis of the host response is a promising strategy toward this aim. Following this approach, we sought to identify new biomarkers for IA. For this purpose, we analyzed gene expression profiles of hematological patients and compared profiles of patients suffering from IA with non-IA patients. Based on microarray data, we applied a comprehensive feature selection using a random forest classifier. We identified the transcript coding for the S100 calcium-binding protein B (S100B) as a potential new biomarker for the diagnosis of IA. Considering the expression of this gene, we were able to classify samples from patients with IA with 82.3\% sensitivity and 74.6\% specificity. Moreover, we validated the expression of S100B in a real-time reverse transcription polymerase chain reaction (RT-PCR) assay and we also found a down-regulation of S100B in A. fumigatus stimulated DCs. An influence on the IL1B and CXCL1 downstream levels was demonstrated by this S100B knockdown. In conclusion, this study covers an effective feature selection revealing a key regulator of the human immune response during IA. S100B may represent an additional diagnostic marker that in combination with the established techniques may improve the accuracy of IA diagnosis.}, language = {en} }