@article{HornKristLiebetal.2021,
  author    = {Horn, A. and Krist, L. and Lieb, W. and Montellano, F. A. and Kohls, M. and Haas, K. and Gelbrich, G. and Bolay-Gehrig, S. J. and Morbach, C. and Reese, J. P. and St{\"o}rk, S. and Fricke, J. and Zoller, T. and Schmidt, S. and Triller, P. and Kretzler, L. and R{\"o}nnefarth, M. and Von Kalle, C. and Willich, S. N. and Kurth, F. and Steinbeis, F. and Witzenrath, M. and Bahmer, T. and Hermes, A. and Krawczak, M. and Reinke, L. and Maetzler, C. and Franzenburg, J. and Enderle, J. and Flinspach, A. and Vehreschild, J. and Schons, M. and Illig, T. and Anton, G. and Ungeth{\"u}m, K. and Finkenberg, B. C. and Gehrig, M. T. and Savaskan, N. and Heuschmann, P. U. and Keil, T. and Schreiber, S.},
  title     = {Long-term health sequelae and quality of life at least 6 months after infection with SARS-CoV-2: design and rationale of the COVIDOM-study as part of the NAPKON population-based cohort platform (POP)},
  series = {Infection},
  volume    = {49},
  journal   = {Infection},
  number    = {6},
  issn      = {0300-8126},
  doi       = {10.1007/s15010-021-01707-5},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-308960},
  pages     = {1277-1287},
  year      = {2021},
  abstract  = {Purpose Over the course of COVID-19 pandemic, evidence has accumulated that SARS-CoV-2 infections may affect multiple organs and have serious clinical sequelae, but on-site clinical examinations with non-hospitalized samples are rare. We, therefore, aimed to systematically assess the long-term health status of samples of hospitalized and non-hospitalized SARS-CoV-2 infected individuals from three regions in Germany. Methods The present paper describes the COVIDOM-study within the population-based cohort platform (POP) which has been established under the auspices of the NAPKON infrastructure (German National Pandemic Cohort Network) of the national Network University Medicine (NUM). Comprehensive health assessments among SARS-CoV-2 infected individuals are conducted at least 6 months after the acute infection at the study sites Kiel, W{\"u}rzburg and Berlin. Potential participants were identified and contacted via the local public health authorities, irrespective of the severity of the initial infection. A harmonized examination protocol has been implemented, consisting of detailed assessments of medical history, physical examinations, and the collection of multiple biosamples (e.g., serum, plasma, saliva, urine) for future analyses. In addition, patient-reported perception of the impact of local pandemic-related measures and infection on quality-of-life are obtained. Results As of July 2021, in total 6813 individuals infected in 2020 have been invited into the COVIDOM-study. Of these, about 36\% wished to participate and 1295 have already been examined at least once. Conclusion NAPKON-POP COVIDOM-study complements other Long COVID studies assessing the long-term consequences of an infection with SARS-CoV-2 by providing detailed health data of population-based samples, including individuals with various degrees of disease severity. Trial registration Registered at the German registry for clinical studies (DRKS00023742).},
  language  = {en}
}
@article{SodemannDaehlingKlopfleischetal.2020,
  author    = {Sodemann, Elisa B. and D{\"a}hling, Sabrina and Klopfleisch, Robert and Boiarina, Ekaterina and Cataldo, Didier and Alhasan, Moumen M. and Yildirim, Ali {\"O}. and Witzenrath, Martin and Tabeling, Christoph and Conrad, Melanie L.},
  title     = {Maternal asthma is associated with persistent changes in allergic offspring antibody glycosylation},
  series = {Clinical \& Experimental Allergy},
  volume    = {50},
  journal   = {Clinical \& Experimental Allergy},
  number    = {4},
  doi       = {10.1111/cea.13559},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-214071},
  pages     = {520 -- 531},
  year      = {2020},
  abstract  = {Background Maternal asthma during pregnancy is considered an environmental risk factor for asthma development in children. Immunoglobulin G (IgG) antibodies that are transferred from the mother to the fetus are known to act in a pro- or anti-inflammatory manner depending on their glycosylation status. Objective Using a mouse model, we examined how maternal allergic airway inflammation during pregnancy influenced offspring experimental asthma severity, as well as maternal and offspring serum IgG antibody glycosylation patterns. Additionally, the effects of maternal and offspring exposure to the same or different allergens were investigated. Methods Female mice were either sham sensitized or sensitized to casein (CAS) or ovalbumin (OVA) before mating. Subsequently, allergic lung inflammation was induced in pregnant dams via aerosol allergen challenge (sham, CAS or OVA). After weaning, pups were subjected to an experimental asthma protocol using OVA. Asn-297 IgG glycosylation was analysed in maternal and offspring serum. Results When mothers and offspring were sensitized to the same allergen (OVA-OVA), offspring had more severe experimental asthma. This was evidenced by altered antibody concentrations, increased bronchoalveolar lavage inflammatory cell influx and decreased lung tissue and lung draining lymph node regulatory T cell percentages. When mothers and offspring were sensitized to different allergens (CAS-OVA), this phenotype was no longer observed. Additionally, maternal serum from allergic mothers had significantly higher levels of pro-inflammatory IgG1, shown by decreased galactosylation and sialylation at the Asn-297 glycosylation site. Similar glycosylation patterns were observed in the serum of adult allergic offspring from allergic mothers. Conclusions and Clinical Relevance We observed a strong association between maternal experimental asthma during pregnancy, increased offspring airway inflammation and pro-inflammatory IgG glycosylation patterns in mothers and offspring. IgG glycosylation is not a standard measurement in the clinical setting, and we argue that it may be an important parameter to include in future clinical studies.},
  language  = {en}
}