Anna Halama

Dr. Anna Halama

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2008 in Journal of Controlled Release
Verified
Journal Article
Closed access
VRVerena Russ
Verena Russ
MGMichael Günther
Michael Günther
AHAnna Halama
Anna Halama
MOManfred Ogris
Manfred Ogris
Ernst WagnerErnst Wagner
Ernst Wagner

3 January 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
SZShaza B. Zaghlool
Shaza B. Zaghlool
BKBrigitte Kühnel
Brigitte Kühnel
MEMohamed A. Elhadad
Mohamed A. Elhadad
SKSara Kader
Sara Kader
AHAnna Halama
Anna Halama
Karsten SuhreKarsten Suhre
Karsten Suhre
DNA methylation and blood circulating proteins have been associated with many complex disorders, but the underlying disease-causing mechanisms often remain unclear. Here, we report an epigenome-wide association study of 1123 proteins from 944 participants of the KORA population study and replication in a multi-ethnic cohort of 344 individuals. We identify 98 CpG-protein associations (pQTMs) at a stringent Bonferroni level of significance. Overlapping associations with transcriptomics, metabolomics, and clinical endpoints suggest implication of processes related to chronic low-grade inflammation, including a network involving methylation of NLRC5, a regulator of the inflammasome, and associated pQTMs implicating key proteins of the immune system, such as CD48, CD163, CXCL10, CXCL11, LAG3, FCGR3B, and B2M. Our study links DNA methylation to disease endpoints via intermediate proteomics phenotypes and identifies correlative networks that may eventually be targeted in a personalized approach of chronic low-grade inflammation.

22 January 2022 in Cancers
Verified
Journal Article
Open access
PDF file
AHAnna Halama
Anna Halama
Karsten SuhreKarsten Suhre
Karsten Suhre
Tumor growth and metastasis strongly depend on adapted cell metabolism. Cancer cells adjust their metabolic program to their specific energy needs and in response to an often challenging tumor microenvironment. Glutamine metabolism is one of the metabolic pathways that can be successfully targeted in cancer treatment. The dependence of many hematological and solid tumors on glutamine is associated with mitochondrial glutaminase (GLS) activity that enables channeling of glutamine into the tricarboxylic acid (TCA) cycle, generation of ATP and NADPH, and regulation of glutathione homeostasis and reactive oxygen species (ROS). Small molecules that target glutamine metabolism through inhibition of GLS therefore simultaneously limit energy availability and increase oxidative stress. However, some cancers can reprogram their metabolism to evade this metabolic trap. Therefore, the effectiveness of treatment strategies that rely solely on glutamine inhibition is limited. In this review, we discuss the metabolic and molecular pathways that are linked to dysregulated glutamine metabolism in multiple cancer types. We further summarize and review current clinical trials of glutaminolysis inhibition in cancer patients. Finally, we put into perspective strategies that deploy a combined treatment targeting glutamine metabolism along with other molecular or metabolic pathways and discuss their potential for clinical applications.

19 November 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
SZShaza B. Zaghlool
Shaza B. Zaghlool
AHAnna Halama
Anna Halama
NSNisha Stephan
Nisha Stephan
VGValborg Gudmundsdottir
Valborg Gudmundsdottir
VGVilmundur Gudnason
Vilmundur Gudnason
Karsten SuhreKarsten Suhre
Karsten Suhre
Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.


1 January 2016 in Archives of Biochemistry and Biophysics
Verified
Journal Article
Closed access
AHAnna Halama
Anna Halama
MHMarion Horsch
Marion Horsch
GKGabi Kastenmüller
Gabi Kastenmüller
GMGabriele Möller
Gabriele Möller
PKPankaj Kumar
Pankaj Kumar
Jerzy AdamskiJerzy Adamski
Jerzy Adamski