Article
Oncology
Omkar B. Ijare, Shashank Hambarde, Fabio Henrique Brasil da Costa, Sophie Lopez, Martyn A. Sharpe, Santosh A. Helekar, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Robert M. Bachoo, David S. Baskin, Kumar Pichumani
Summary: This study found that alanine and glutamine/glutamate levels are significantly elevated in grade-II meningiomas. Grade-I meningiomas have relatively higher glutamine metabolism providing carbon/nitrogen for the biosynthesis of key nonessential amino acids. The GLS1 inhibitor CB-839 is highly effective in downregulating glutamine metabolic pathways in grade-I meningiomas leading to decreased cellular proliferation.
Article
Psychology, Clinical
Carola Deischinger, Dorota Slukova, Ivica Just, Ulrike Kaufmann, Juergen Harreiter, Mick van Trotsenburg, Siegfried Trattnig, Martin Krssak, Alexandra Kautzky-Willer, Radka Klepochova, Lana Kosi-Trebotic
Summary: This study aimed to investigate the effect of gender-affirming hormone therapy on cardiovascular disease risk factors, with a focus on glucose tolerance. The study found that estrogen intake was associated with higher insulin resistance in transgender individuals assigned male at birth. Transgender males displayed increased heart rate but a more favorable fat ratio compared to cisgender males. Monitoring for the development of insulin resistance is necessary for transgender individuals assigned male at birth.
INTERNATIONAL JOURNAL OF TRANSGENDER HEALTH
(2023)
Article
Oncology
Laszlo Papp, Sazan Rasul, Clemens P. Spielvogel, Denis Krajnc, Nina Poetsch, Adelheid Woehrer, Eva-Maria Patronas, Boglarka Ecsedi, Julia Furtner, Markus Mitterhauser, Ivo Rausch, Georg Widhalm, Thomas Beyer, Marcus Hacker, Tatjana Traub-Weidinger
Summary: This study aimed to evaluate sex-specific radiomic characteristics of L-[S-methyl-(11)Cmethionine (MET)-PET images of glioma patients while considering the IDH mutation status. The results showed that female and male glioma patients have significantly different radiomic profiles in MET PET imaging data. Future IDH prediction models should be built on sex-specific cohorts and radiomic imaging biomarkers.
FRONTIERS IN ONCOLOGY
(2023)
Article
Endocrinology & Metabolism
Clemens Baumgartner, Peter Wolf, Hannes Beiglbock, Lorenz Pfleger, Paul Fellinger, Gregor Heitzinger, Matthaus Metz, Michael Leutner, Alexandra Kautzky-Willer, Martin Krssak, Michael Krebs
Summary: Many cells adapt to hyperosmolal conditions by upregulating organic osmolytes. This study investigated the relationship between muscular glycerophosphocholine (GPC) and surrogate parameters of body fluid status and osmolality. The results showed a correlation between muscular GPC concentrations and uric acid, suggesting that skeletal muscle may regulate GPC content in response to changes in fluid status. This is the first study to examine the fluid balance-dependent properties of GPC concentrations in human skeletal muscle using in vivo magnetic resonance spectroscopy.
AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM
(2023)
Article
Oncology
Elisabeth S. Bergen, Alexander Friedrich, Peter Scherleitner, Pedro Ferreira, Barbara Kiesel, Georg Widhalm, Barbara Kiesewetter, Franziska Eckert, Gerald W. Prager, Matthias Preusser, Anna S. Berghoff
Summary: The prognosis of brain metastases from hepatopancreatobiliary tumors is very limited, with poor outcomes. Negative prognostic factors identified include performance status, age, and leptomeningeal carcinomatosis.
CLINICAL & EXPERIMENTAL METASTASIS
(2023)
Article
Oncology
Erwin Tomasich, Ariane Steindl, Christina Paiato, Teresa Hatziioannou, Markus Kleinberger, Luzia Berchtold, Rainer Puhr, Johannes A. Hainfellner, Leonhard Mullauer, Georg Widhalm, Franziska Eckert, Rupert Bartsch, Gerwin Heller, Matthias Preusser, Anna Sophie Berghoff
Summary: This study investigated the expression of HER3 in brain metastases of breast cancer and non-small cell lung cancer, providing a basis for future clinical trial design. Results showed that HER3 is highly expressed in brain metastases of both cancer types, suggesting the need for specific trials targeting HER3 in brain metastases.
CLINICAL CANCER RESEARCH
(2023)
Article
Medicine, Research & Experimental
Jasmin Taubenschmid-Stowers, Michael Orthofer, Anna Laemmerer, Christian Krauditsch, Marianna Rozsova, Christian Studer, Daniela Loetsch, Johannes Gojo, Lisa Gabler, Matheus Dyczynski, Thomas Efferth, Astrid Hagelkruys, Georg Widhalm, Andreas Peyrl, Sabine Spiegl-Kreinecker, Dominic Hoepfner, Shan Bian, Walter Berger, Juergen A. Knoblich, Ulrich Elling, Moritz Horn, Josef M. Penninger
Summary: The natural compound Artemisinin is widely used as an antimalarial drug and has potential for anticancer therapy. Through screening with yeast and haploid stem cells, it has been discovered that the porphyrin biosynthesis pathway is crucial for the cytotoxicity of Artemisinin. In various human brain tumor models, a combination treatment of Artemisinin and the porphyrin enhancer 5-aminolevulinic acid sensitizes and kills brain tumor cells.
EMBO MOLECULAR MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Todd Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn L. Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian Freudiger, Honglak Lee, Daniel A. Orringer
Summary: DeepGlioma is a multimodal deep learning approach that utilizes stimulated Raman histology and large-scale public genomic data to accurately predict molecular alterations for diffuse glioma diagnosis.
Article
Virology
Ellen Gelpi, Sigrid Klotz, Miriam Beyerle, Sven Wischnewski, Verena Harter, Harald Kirschner, Katharina Stolz, Christoph Reisinger, Elisabeth Lindeck-Pozza, Alexander Zoufaly, Marlene Leoni, Gregor Gorkiewicz, Martin Zacharias, Christine Haberler, Johannes Hainfellner, Adelheid Woehrer, Simon Hametner, Thomas Roetzer, Till Voigtlaender, Gerda Ricken, Verena Endmayr, Carmen Haider, Judith Ludwig, Andrea Polt, Gloria Wilk, Susanne Schmid, Irene Erben, Anita Nguyen, Susanna Lang, Ingrid Simonitsch-Klupp, Christoph Kornauth, Maja Nackenhorst, Johannes Klaeger, Renate Kain, Andreas Chott, Richard Wasicky, Robert Krause, Guenter Weiss, Judith Loeffler-Rag, Thomas Berger, Patrizia Moser, Afshin Soleiman, Martin Asslaber, Roland Sedivy, Nikolaus Klupp, Martin Klimpfinger, Daniele Risser, Herbert Budka, Lucas Schirmer, Anne-Katrin Probstel, Romana Hoeftberger
Summary: We conducted a neuropathological analysis on 32 patients who died from COVID-19 in Austria between 2020 and 2021. The results showed diffuse white matter damage and microglial activation in all cases, indicating indirect brain damage rather than direct virus-specific damage. Inflammatory changes and vascular pathologies were also observed, along with silent neurodegenerative pathologies in elderly patients. These findings align with experimental data on SARS-CoV-2-related brain damage and provide a better understanding of the mechanisms underlying neurological symptoms after COVID-19.
Article
Oncology
Wolfgang Marik, Pedro Lima Cardoso, Elisabeth Springer, Wolfgang Bogner, Matthias Preusser, Georg Widhalm, Gilbert Hangel, Johannes A. Hainfellner, Ivo Rausch, Michael Weber, Victor Schmidbauer, Tatjana Traub-Weidinger, Siegfried Trattnig
Summary: Qualitative assessments are currently the main method for neuro-oncologic MRI, while PET provides important metabolic information. However, PET provides quantitative data while qualitative MRI is limited by subjective judgments and low inter-scanner reliability. MR fingerprinting is a promising approach that can generate both qualitative and quantitative imaging data based on a single sequence acquisition. This study compared PET and MR fingerprinting in predicting tumor-related characteristics and found that both modalities have high predictability but with different underlying mechanisms. The combined use of PET and MR fingerprinting shows potential to enhance tissue-specific properties and increase the value of hybrid imaging in neuro-oncology.
Article
Oncology
David Reichert, Lisa I. Wadiura, Mikael T. Erkkilae, Johanna Gesperger, Alexandra Lang, Thomas Roetzer-Pejrimovsky, Jessica Makolli, Adelheid Woehrer, Marco Wilzbach, Christoph Hauger, Barbara Kiesel, Marco Andreana, Angelika Unterhuber, Wolfgang Drexler, Georg Widhalm, Rainer A. Leitgeb
Summary: Optical imaging of autofluorescence is a powerful tool for monitoring metabolic changes and transformation in brain tumors. The increase in protein-bound FMN fluorescence in brain tumors indicates a shift toward a more glycolytic metabolism. These metrics show promise for machine learning based brain tumor classification.
FRONTIERS IN ONCOLOGY
(2023)
Article
Nutrition & Dietetics
Usevalad Ustsinau, Viktoria Ehret, Clemens Fuernsinn, Thomas Scherer, Thomas H. Helbich, Marcus Hacker, Martin Krssak, Cecile Philippe
Summary: The worldwide prevalence of NAFLD has raised concerns about its associated risk factors, such as obesity and type 2 Diabetes Mellitus. In this study, the use of [F-18]FTHA PET tracer revealed differences in hepatic FFA uptake and incorporation into VLDL between healthy and NAFLD rats. This novel approach could contribute to a deeper understanding of the metabolic disturbances involved in the progression of NAFLD.
CLINICAL NUTRITION
(2023)
Article
Neurosciences
Fabian Niess, Bernhard Strasser, Lukas Hingerl, Eva Niess, Stanislav Motyka, Gilbert Hangel, Martin Krssak, Stephan Gruber, Benjamin Spurny-Dworak, Siegfried Trattnig, Thomas Scherer, Rupert Lanzenberger, Wolfgang Bogner
Summary: This study compares the dynamics of brain glucose metabolism using DMI at 7T and QELT at clinical 3T. The results show that there is no significant difference in the estimated concentration and dynamics of metabolites between 7T DMI and 3T QELT.
Meeting Abstract
Clinical Neurology
Todd Charles Hollon, John G. Golfinos, Daniel A. Orringer, Mitchel Berger, Shawn L. Hervey-Jumper, Karin M. Muraszko, Christian Freudiger, Jason Heth, Oren Sagher, Cheng Jiang, Asadur Chowdury, Mustafa Nasir Moin, Akhil Kondepudi, Alexander Arash Aabedi, Arjun R. Adapa, Wajd Al-Holou, Lisa Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Sandra Camelo-Piragua
Article
Clinical Neurology
Arthur Hosmann, Mohammed Jaber, Thomas Roetzer-Pejrimovsky, Gerald Timelthaler, Martin Borkovec, Barbara Kiesel, Lisa I. Wadiura, Matthias Millesi, Petra A. Mercea, Joanna Phillips, Shawn Hervey-Jumper, Anna S. Berghoff, Johannes A. Hainfellner, Mitchel S. Berger, Walter Stummer, Georg Widhalm
Summary: This study found a correlation between visible 5-aminolevulinic acid (5-ALA) fluorescence and CD34 microvascularity in patients with low-grade gliomas (LGGs). Visible fluorescence during LGG surgery may indicate increased CD34 microvascularity, serving as an early prognostic marker for unfavorable patient outcomes.
JOURNAL OF NEUROSURGERY
(2023)
