Exploring pain, quality of life, and emotional well-being in patients with advanced pancreatic cancer practicing spiritual meditation - a pilot study
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar; Meißner, Karin (2023)
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar...
Complementary Medicine Research.
DOI: 10.1159/000529865
Peer Reviewed
Behandlung von Post-/Long-COVID mit TCM - eine Querschnittsbefragung von TCM-Ärzt:innen
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Posterpräsentation auf dem Wissenschaftstag des 54. TCM Kongresses Rothenburg o.d.T..
Open Access Peer Reviewed
Federated vs local vs central deep learning of tooth segmentation on panoramic radiographs
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha; Mohammad-Rahimi, Hossein; Chaurasia, Akhilanand; Pereira, Nielsen S.; Lee, Jae-Hong; Uribe, Sergio E.; Shahab, Shahriar; Koca-Ünsal, Revan B.; Ünsal, Gürkan; Martinez-Beneyto, Yolanda; Brinz, Janet; Tryfonos, Olga; Schwendicke, Falk (2023)
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha...
Journal of Dental Research 2023/135, 104556.
DOI: 10.1016/j.jdent.2023.104556
Peer Reviewed
Objective
Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant for oral and dental research and applications. This study, for the first time, employed FL for a dental task, automated tooth segmentation on panoramic radiographs.
Methods
We employed a dataset of 4,177 panoramic radiographs collected from nine different centers (n = 143 to n = 1881 per center) across the globe and used FL to train a machine learning model for tooth segmentation. FL performance was compared against Local Learning (LL), i.e., training models on isolated data from each center (assuming data sharing not to be an option). Further, the performance gap to Central Learning (CL), i.e., training on centrally pooled data (based on data sharing agreements) was quantified. Generalizability of models was evaluated on a pooled test dataset from all centers.
Results
For 8 out of 9 centers, FL outperformed LL with statistical significance (p<0.05); only the center providing the largest amount of data FL did not have such an advantage. For generalizability, FL outperformed LL across all centers. CL surpassed both FL and LL for performance and generalizability.
Conclusion
If data pooling (for CL) is not feasible, FL is shown to be a useful alternative to train performant and, more importantly, generalizable deep learning models in dentistry, where data protection barriers are high.
Clinical Significance
This study proves the validity and utility of FL in the field of dentistry, which encourages researchers to adopt this method to improve the generalizability of dental AI models and ease their transition to the clinical environment.
Relationship between hope, confidence, and anxiety and the success of infertility treatment with IVF-Naturelle® - a prospective cohort study
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen; Meißner, Karin (2023)
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen...
Oral presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Potential nocebo effects in primary dysmenorrhea - a mixed-methods approach
Thomann, Verena; Gomaa, Nadya; Stang, Marina; Funke, Susanne A.; Meißner, Karin (2023)
Posterpresentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies (SIPS), Duisburg, Germany.
Peer Reviewed
The effects of pilates and open-label placebos on severe primary dysmenorrhea - a randomized controlled pilot study
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
Poster presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Peer Reviewed
MncR: Late Integration Machine Learning Model for Classification of ncRNA Classes Using Sequence and Structural Encoding
Dunkel, Heiko; Wehrmann, Henning; Jensen, Lars; Kuss, Andreas; Simm, Stefan (2023)
International Journal of Molecular Sciences 24 (10), 8884.
DOI: 10.3390/ijms24108884
Open Access Peer Reviewed
Non-coding RNA (ncRNA) classes take over important housekeeping and regulatory functions and are quite heterogeneous in terms of length, sequence conservation and secondary structure. High-throughput sequencing reveals that the expressed novel ncRNAs and their classification are important to understand cell regulation and identify potential diagnostic and therapeutic biomarkers. To improve the classification of ncRNAs, we investigated different approaches of utilizing primary sequences and secondary structures as well as the late integration of both using machine learning models, including different neural network architectures. As input, we used the newest version of RNAcentral, focusing on six ncRNA classes, including lncRNA, rRNA, tRNA, miRNA, snRNA and snoRNA. The late integration of graph-encoded structural features and primary sequences in our MncR classifier achieved an overall accuracy of \textgreater97%, which could not be increased by more fine-grained subclassification. In comparison to the actual best-performing tool ncRDense, we had a minimal increase of 0.5% in all four overlapping ncRNA classes on a similar test set of sequences. In summary, MncR is not only more accurate than current ncRNA prediction tools but also allows the prediction of long ncRNA classes (lncRNAs, certain rRNAs) up to 12.000 nts and is trained on a more diverse ncRNA dataset retrieved from RNAcentral.
Measurement and simulation of distribution, degradation, maximal soil concentrations and ecotoxic effects of biocides released from building facades
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias; Kalkhof, Stefan (2023)
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias...
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Trace Determination of Biocides in Building Materials by Adsorptive Stripping Voltammetry
Befolo, Olivier (2023)
Vortrag beim Workshop: 5th Cross-Border Seminar on Electroanalytical Chemistry 2023.
Selection and characterization of Tau targeting D-peptides as a potential therapeutic approach for Alzheimer’s Disease
Aillaud, Isabelle; Malhis, Marwa; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M.; Alkhashrom, Sewar ; Eichler, Jutta; Horn, A. H. C.; Zweckstetter , M.; Mandelkow, E.; Sticht, H.; Funke, Susanne A. (2023)
Aillaud, Isabelle; Malhis, Marwa; Kaniyappan, S.; Chandupatla, R.R.; Ramirez, L.-M....
AD/PD 2023 International Conference, Hybrid, 28.03.-01.04.2023.
The effects of pilates and open-label placebo on severe primary dysmenorrhea - a randomized controlled pilot study
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
Psychosomatic Medicine 85 (4), A28.
DOI: 10.1097/PSY.0000000000001202
Peer Reviewed
Ergebnisse der Mitgliederbefragungen der Ärztlichen und Offenen Schule der SMS im Frühjahr 2022
Waibl, Paula; Engelhardt, Ute; Nögel, Rainer; Hempen, Moritz; Meißner, Karin (2023)
Chinesische Medizin 38 (1), 30-39.
DOI: 10.1007/s00052-023-00074-8
Open Access Peer Reviewed
Vitamin D-Pillen: Segen oder Abzocke?
Meißner, Karin (2023)
SWR Doku (Interview).
Taste matters: Mapping expectancy-based appetitive placebo effects onto the brain
Khalid, Iraj; Rodrigues, Belina; Dreyfus, Hippolyte; Frileux, Solene; Meißner, Karin; Fossati, Philippe; Hare, Todd Anthony; Schmidt, Liane (2023)
Khalid, Iraj; Rodrigues, Belina; Dreyfus, Hippolyte; Frileux, Solene; Meißner, Karin...
bioRxiv (Pre-print).
DOI: 10.1101/2023.02.14.527858
Open Access
Placebo in der Schmerzmedizin
Meißner, Karin (2023)
Vortrag auf der externen Schmerzkonferenz mit Qualitätszirkel 2023, Schön Klinik Bad Staffelstein / alphaMED Bamberg.
Alzheimer-Demenz – neue therapeutische Optionen?
Funke, Susanne A. (2023)
Lehrerfortbildung, Hochschule Coburg.
tRNA-like Transcripts from the NEAT1-MALAT1 Genomic Region Critically Influence Human Innate Immunity and Macrophage Functions
Gast, Martina; Nageswaran, Vanasa; Kuss, Andreas; Tzvetkova, Ana; Wang, Xiaomin; Mochmann, Liliana; Rad, Pegah; Weiss, Stefan; Simm, Stefan; Zeller, Tanja; Voelzke, Henry; Hoffmann, Wolfgang; Völker, Uwe; Felix, Stefan; Dörr, Marcus; Beling, Antje; Skurk, Carsten; Leistner, David-Manuel; Rauch, Bernhard; Hirose, Tetsuro; Heidecker, Bettina; Klingel, Karin; Nakagawa, Shinichi; Poller, Wolfram; Swirski, Filip; Haghikia, Arash; Poller, Wolfgang (2022)
Gast, Martina; Nageswaran, Vanasa; Kuss, Andreas; Tzvetkova, Ana; Wang, Xiaomin...
Cells 11 (24), 3970.
DOI: 10.3390/cells11243970
Open Access Peer Reviewed
The evolutionary conserved NEAT1-MALAT1 gene cluster generates large noncoding transcripts remaining nuclear, while tRNA-like transcripts (mascRNA, menRNA) enzymatically generated from these precursors translocate to the cytosol. Whereas functions have been assigned to the nuclear transcripts, data on biological functions of the small cytosolic transcripts are sparse. We previously found NEAT1-/- and MALAT1-/- mice to display massive atherosclerosis and vascular inflammation. Here, employing selective targeted disruption of menRNA or mascRNA, we investigate the tRNA-like molecules as critical components of innate immunity. CRISPR-generated human ΔmascRNA and ΔmenRNA monocytes/macrophages display defective innate immune sensing, loss of cytokine control, imbalance of growth/angiogenic factor expression impacting upon angiogenesis, and altered cell-cell interaction systems. Antiviral response, foam cell formation/oxLDL uptake, and M1/M2 polarization are defective in ΔmascRNA/ΔmenRNA macrophages, defining first biological functions of menRNA and describing new functions of mascRNA. menRNA and mascRNA represent novel components of innate immunity arising from the noncoding genome. They appear as prototypes of a new class of noncoding RNAs distinct from others (miRNAs, siRNAs) by biosynthetic pathway and intracellular kinetics. Their NEAT1-MALAT1 region of origin appears as archetype of a functionally highly integrated RNA processing system.
Macrophages Are Polarized toward an Inflammatory Phenotype by their Aged Microenvironment in the Human Skin
Gather, Leonie; Nath, Neetika; Falckenhayn, Cassandra; Oterino-Sogo, Sergio; Bosch, Thomas; Wenck, Horst; Winnefeld, Marc; Grönniger, Elke; Simm, Stefan; Siracusa, Annette (2022)
Gather, Leonie; Nath, Neetika; Falckenhayn, Cassandra; Oterino-Sogo, Sergio...
The Journal of Investigative Dermatology 142 (12), 3136–3145.e11.
DOI: 10.1016/j.jid.2022.06.023
Open Access Peer Reviewed
Aging of the skin is accompanied by cellular as well as tissue environmental changes, ultimately reducing the ability of the tissue to regenerate and adequately respond to external stressors. Macrophages are important gatekeepers of tissue homeostasis, and it has been reported that their number and phenotype change during aging in a site-specific manner. How aging affects human skin macrophages and what implications this has for the aging process in the tissue are still not fully understood. Using single-cell RNA-sequencing analysis, we show that there is at least a 50% increase of macrophages in human aged skin, which appear to have developed from monocytes and exhibit more proinflammatory M1-like characteristics. In contrast, the cell-intrinsic ability of aged monocytes to differentiate into M1 macrophages was reduced. Using coculture experiments with aged dermal fibroblasts, we show that it is the aged microenvironment that drives a more proinflammatory phenotype of macrophages in the skin. This proinflammatory M1-like phenotype in turn negatively influenced the expression of extracellular matrix proteins by fibroblasts, emphasizing the impact of the aged macrophages on the skin phenotype.
Unspezifische Effekte von Operationen – Erkenntnisse aus der Placeboforschung
Meißner, Karin (2022)
Eingeladener Vortrag, Gründungsveranstaltung für das REGIOMED Zentrum für Wirbelsäulenmedizin, Regiomed Klinikum Lichtenfels .
Creditions in prevention and treatment: lessons learned from two empirical studies
Meißner, Karin (2022)
Vortrag auf der internationalen Tagung "The structure of creditions - methods, methodology, and assessment", Graz, Österreich.
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Monika SchnabelForschungsreferentin, EU-Referentin
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monika.schnabel[at]hs-coburg.de