TY - JOUR A1 - Feord, Helen K. A1 - Trautwein-Schult, Anke A1 - Keuschnig, Christoph A1 - Ostrzinski, Anne A1 - Peter, Elisa K. A1 - Jaeger, Carsten A1 - Lisec, Jan A1 - Mourot, Rey A1 - Peters, Ravi Sven A1 - Çiftçi, Ozan A1 - Tranter, Martyn A1 - Anesio, Alexandre M. A1 - Becher, Dörte A1 - Benning, Liane G. T1 - Algae-dominated metaproteomes uncover cellular adaptations to life on the Greenland Ice Sheet N2 - Eukaryotic algae-dominated microbiomes thrive on the Greenland Ice Sheet (GrIS) in harsh environmental conditions, including low temperatures, high light, and low nutrient availability. Chlorophyte algae bloom on snow, while streptophyte algae dominate bare ice surfaces. Empirical data about the cellular mechanisms responsible for their survival in these extreme conditions are scarce. This knowledge gap was addressed by quantifying proteins for both algal taxa from samples on the southern margin of the GrIS. We show that the streptophyte glacier ice algae have a relative enrichment in proteins involved in environmental signaling and nutrient transport, indicative of cellular readiness to dynamically respond to extreme GriS environmental cues, linked, for example, to photoprotection and the rapid update of scarce nutrients. In contrast, the chlorophyte snow algae have a high abundance of proteins linked to lipid and nitrogen metabolisms, providing evidence for the biological processes sustaining the cellular carbon and nitrogen stores necessary for survival in an oligotrophic environment. We also identify proteins in both taxa linked to the synthesis and breakdown of key cellular pigments. Our study gives novel insights into the cellular biology of these algae and their adaptation to extreme environments. KW - Metabolic profiling KW - Mass spectrometry KW - Ice algae PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-641037 DO - https://doi.org/10.1038/s41522-025-00770-2 SN - 2055-5008 VL - 11 IS - 1 SP - 1 EP - 11 PB - Springer Science and Business Media LLC AN - OPUS4-64103 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Blumrich, A. A1 - Vogler, G. A1 - Dresen, S. A1 - Diop, S. B. A1 - Jaeger, Carsten A1 - Leberer, S. A1 - Grune, J. A1 - Wirth, E. K. A1 - Hoeft, B. A1 - Renko, K. A1 - Foryst-Ludwig, A. A1 - Spranger, J. A1 - Sigrist, S. A1 - Bodmer, R. A1 - Kintscher, U. T1 - Fat-body brummer lipase determines survival and cardiac function during starvation in Drosophila melanogaster N2 - The cross talk between adipose tissue and the heart has an increasing importance for cardiac function under physiological and pathological conditions. This study characterizes the role of fat body lipolysis for cardiac function in Drosophila melanogaster. Perturbation of the function of the key lipolytic enzyme, brummer (bmm), an ortholog of themammalian ATGL (adipose triglyceride lipase) exclusively in the fly’s fat body, protected the heart against starvation-induced dysfunction. We further provide evidence that this protection is caused by the preservation of glycerolipid stores, resulting in a starvation-resistant maintenance of energy supply and adequate cardiac ATP synthesis. Finally, we suggest that alterations of lipolysis are tightly coupled to lipogenic processes, participating in the preservation of Lipid energy substrates during starvation. Thus, we identified the inhibition of adipose tissue lipolysis and subsequent energy preservation as a protective mechanism against cardiac dysfunction during catabolic stress. KW - High-resolution mass spectrometry KW - Nontarget analysis PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-528756 DO - https://doi.org/10.1016/j.isci.2021.102288 VL - 24 IS - 4 SP - 102288 AN - OPUS4-52875 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Jaeger, Carsten A1 - Ritter, D. A1 - Goeritzer, M. A1 - Thiele, A. A1 - Blumrich, A. A1 - Beyhoff, N. A1 - Luettges, K. A1 - Smeir, E. A1 - Kasch, J. A1 - Grune, J. A1 - Müller, O. A1 - Klopfleisch, R. A1 - Foryst-Ludwig, A. A1 - Kintscher, U. T1 - Liver X Receptor Agonist AZ876 Induces Beneficial Endogenous Cardiac Lipid Reprogramming and Protects Against Isoproterenol-Induced Cardiac Damage N2 - Background - It is known that dietary intake of polyunsaturated fatty acids may improve cardiac function. However, relatively high daily doses are required to achieve sufficient cardiac concentrations of beneficial omega‐3 fatty acids. The liver X receptor (LXR) is a nuclear hormone receptor and a crucial regulator of lipid homeostasis in mammals. LXR activation has been shown to endogenously reprogram cellular lipid profiles toward increased polyunsaturated fatty acids levels. Here we studied whether LXR lipid reprogramming occurs in cardiac tissue and exerts cardioprotective actions. Methods and Results - Male 129SV mice were treated with the LXR agonist AZ876 (20 µmol/kg per day) for 11 days. From day 6, the mice were injected with the nonselective β‐agonist isoproterenol for 4 consecutive days to induce diastolic dysfunction and subendocardial fibrosis while maintaining systolic function. Treatment with isoproterenol led to a marked impairment of global longitudinal strain and the E/e' ratio of transmitral flow to mitral annular velocity, which were both significantly improved by the LXR agonist. Histological examination showed a significant reduction in isoproterenol‐induced subendocardial fibrosis by AZ876. Analysis of the cardiac lipid composition by liquid chromatography‐high resolution mass spectrometry revealed a significant increase in cardiac polyunsaturated fatty acids levels and a significant reduction in saturated fatty acids by AZ876. Conclusions - The present study provides evidence that the LXR agonist AZ876 prevents subendocardial damage, improves global longitudinal strain and E/e' in a mouse model of isoproterenol‐induced cardiac damage, accompanied by an upregulation of cardiac polyunsaturated fatty acids levels. Cardiac LXR activation and beneficial endogenous cardiac lipid reprogramming may provide a new therapeutic strategy in cardiac disease with diastolic dysfunction. KW - Heart failure KW - Lipids KW - Liver X receptor KW - Diastolic dysfunction KW - Nuclear receptor PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-529352 DO - https://doi.org/10.1161/JAHA.120.019473 VL - 10 IS - 14 SP - e019473 AN - OPUS4-52935 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Langenhan, Jennifer A1 - Jaeger, Carsten A1 - Baum, K. A1 - Simon, M. A1 - Lisec, Jan T1 - A Flexible Tool to Correct Superimposed Mass Isotopologue Distributions in GC‐APCI‐MS Flux Experiments N2 - The investigation of metabolic fluxes and metabolite distributions within cells by means of tracer molecules is a valuable tool to unravel the complexity of biological systems. Technological advances in mass spectrometry (MS) technology such as atmospheric pressure chemical ionization (APCI) coupled with high resolution (HR), not only allows for highly sensitive analyses but also broadens the usefulness of tracer‐based experiments, as interesting signals can be annotated de novo when not yet present in a compound library. However, several effects in the APCI ion source, i.e., fragmentation and rearrangement, lead to superimposed mass isotopologue distributions (MID) within the mass spectra, which need to be corrected during data evaluation as they will impair enrichment calculation otherwise. Here, we present and evaluate a novel software tool to automatically perform such corrections. We discuss the different effects, explain the implemented algorithm, and show its application on several experimental datasets. This adjustable tool is available as an R package from CRAN. KW - Mass Spectrometry KW - Isotopologue Distribution KW - Metabolic Flux KW - R package PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-547318 DO - https://doi.org/10.3390/metabo12050408 VL - 12 IS - 5 SP - 1 EP - 10 PB - MDPI AN - OPUS4-54731 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Jaeger, Carsten A1 - Lisec, Jan T1 - Towards Unbiased Evaluation of Ionization Performance in LC-HRMS Metabolomics Method Development N2 - As metabolomics increasingly finds its way from basic science into applied and regulatory environments, analytical demands on nontargeted mass spectrometric detection methods continue to rise. In addition to improved chemical comprehensiveness, current developments aim at enhanced robustness and repeatability to allow long-term, inter-study, and meta-analyses. Comprehensive metabolomics relies on electrospray ionization (ESI) as the most versatile ionization technique, and recent liquid chromatography-high resolution mass spectrometry (LC-HRMS) instrumentation continues to overcome technical limitations that have hindered the adoption of ESI for applications in the past. Still, developing and standardizing nontargeted ESI methods and instrumental setups remains costly in terms of time and required chemicals, as large panels of metabolite standards are needed to reflect biochemical diversity. In this paper, we investigated in how far a nontargeted pilot experiment, consisting only of a few measurements of a test sample dilution series and comprehensive statistical analysis, can replace conventional targeted evaluation procedures. To examine this potential, two instrumental ESI ion source setups were compared, reflecting a common scenario in practical method development. Two types of feature evaluations were performed, (a) summary statistics solely involving feature intensity values, and (b) analyses additionally including chemical interpretation. Results were compared in detail to a targeted evaluation of a large metabolite standard panel. We reflect on the advantages and shortcomings of both strategies in the context of current harmonization initiatives in the metabolomics field. KW - Mass Spectrometry KW - Non-targeted analysis KW - Method development PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-548065 DO - https://doi.org/10.3390/metabo12050426 VL - 12 IS - 5 SP - 1 EP - 13 PB - MDPI AN - OPUS4-54806 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Munir, R. A1 - Lisec, Jan A1 - Jaeger, Carsten A1 - Zaidi, N. T1 - Abundance, fatty acid composition and saturation index of neutral lipids in colorectal cancer cell lines N2 - Lipid droplets, the dynamic organelles that store Triglycerides (TG) and cholesterol esters (CE), are highly accumulated in colon cancer cells. This work studies the TG and CE subspecies profile in colon carcinoma cell lines, SW480 derived from primary tumor, and SW620 derived from a metastasis of the same tumor. It was previously reported that the total TG and CE content is dramatically higher in SW620 cells; however, TG and CE subspecies profile has not been investigated in detail. The work presented here confirms that the total TG and CE Content is significantly higher in the SW620 cells. Moreover, the fatty acid (FA) composition of TG is significantly altered in the SW620 cells, with significant decrease in the abundance of saturated triglycerides. This resulted in a significantly decreased TG saturation index in the SW620 cells. The saturation index of CE was also significantly decreased in the SW620 cells. KW - Mass Spectroscopy KW - Metabolomics KW - Cancer PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-533504 DO - https://doi.org/10.18388/abp.2020_5465 VL - 68 IS - 1 SP - 1 EP - 4 PB - ABP Acta Biochimica Polonica AN - OPUS4-53350 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Russo, Francesco F. A1 - Nowatzky, Yannek A1 - Jaeger, Carsten A1 - Parr, Maria K. A1 - Benner, Philipp A1 - Muth, Thilo A1 - Lisec, Jan T1 - Machine learning methods for compound annotation in non‐targeted mass spectrometry—A brief overview of fingerprinting, in silico fragmentation and de novo methods N2 - Non‐targeted screenings (NTS) are essential tools in different fields, such as forensics, health and environmental sciences. NTSs often employ mass spectrometry (MS) methods due to their high throughput and sensitivity in comparison to, for example, nuclear magnetic resonance–based methods. As the identification of mass spectral signals, called annotation, is labour intensive, it has been used for developing supporting tools based on machine learning (ML). However, both the diversity of mass spectral signals and the sheer quantity of different ML tools developed for compound annotation present a challenge for researchers in maintaining a comprehensive overview of the field.In this work, we illustrate which ML‐based methods are available for compound annotation in non‐targeted MS experiments and provide a nuanced comparison of the ML models used in MS data analysis, unravelling their unique features and performance metrics. Through this overview we support researchers to judiciously apply these tools in their daily research. This review also offers a detailed exploration of methods and datasets to show gaps in current methods, and promising target areas, offering a starting point for developers intending to improve existing methodologies. KW - Mass Spectrometry KW - Spectra annotation KW - Machine learning PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-608732 DO - https://doi.org/10.1002/rcm.9876 VL - 38 IS - 20 SP - 1 EP - 15 PB - Wiley AN - OPUS4-60873 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Peter, Elisa K. A1 - Jaeger, Carsten A1 - Lisec, Jan A1 - Peters, R. Sven A1 - Mourot, Rey A1 - Rossel, Pamela E. A1 - Tranter, Martyn A1 - Anesio, Alexandre M. A1 - Benning, Liane G. T1 - Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing N2 - Introduction Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses ( 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies. KW - Metabolic profiling KW - Mass Spectrometry KW - Ice algae PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-607921 DO - https://doi.org/10.1007/s11306-024-02147-6 VL - 20 IS - 5 SP - 1 EP - 15 PB - Springer Science and Business Media LLC AN - OPUS4-60792 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Lisec, Jan A1 - Kobelt, D. A1 - Walther, W. A1 - Mokrizkij, M. A1 - Grötzinger, C. A1 - Jaeger, Carsten A1 - Baum, K. A1 - Simon, M. A1 - Wolf, J. A1 - Beindorf, N. A1 - Brenner, W. A1 - Stein, U. T1 - Systematic Identification of MACC1-Driven Metabolic Networks in Colorectal Cancer N2 - MACC1 is a prognostic and predictive metastasis biomarker for more than 20 solid Cancer entities. However, its role in cancer metabolism is not sufficiently explored. Here, we report on how MACC1 impacts the use of glucose, glutamine, lactate, pyruvate and fatty acids and show the comprehensive analysis of MACC1-driven metabolic networks. We analyzed concentrationdependent changes in nutrient use, nutrient depletion, metabolic tracing employing 13C-labeled substrates, and in vivo studies. We found that MACC1 permits numerous effects on cancer metabolism. Most of those effects increased nutrient uptake. Furthermore, MACC1 alters metabolic pathways by affecting metabolite production or turnover from metabolic substrates. MACC1 supports use of glucose, glutamine and pyruvate via their increased depletion or altered distribution within metabolic pathways. In summary, we demonstrate that MACC1 is an important regulator of metabolism in cancer cells. KW - Mass Spectroscopy KW - Metabolomics KW - Cancer PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-533526 DO - https://doi.org/10.3390/cancers13050978 VL - 13 IS - 5 SP - 1 EP - 22 PB - MDPI Journal Cancers AN - OPUS4-53352 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Dürig, Wiebke A1 - Lindblad, Sofia A1 - Golovko, Oksana A1 - Gkotsis, Georgios A1 - Aalizadeh, Reza A1 - Nika, Maria-Christina A1 - Thomaidis, Nikolaos A1 - Alygizakis, Nikiforos A. A1 - Plassmann, Merle A1 - Haglund, Peter A1 - Fu, Qiuguo A1 - Hollender, Juliane A1 - Chaker, Jade A1 - David, Arthur A1 - Kunkel, Uwe A1 - Macherius, André A1 - Belova, Lidia A1 - Poma, Giulia A1 - Preud'Homme, Hugues A1 - Munschy, Catherine A1 - Aminot, Yann A1 - Jaeger, Carsten A1 - Lisec, Jan A1 - Hansen, Martin A1 - Vorkamp, Katrin A1 - Zhu, Linyan A1 - Cappelli, Francesca A1 - Roscioli, Claudio A1 - Valsecchi, Sara A1 - Bagnati, Renzo A1 - González, Belén A1 - Prieto, Ailette A1 - Zuloaga, Olatz A1 - Gil-Solsona, Ruben A1 - Gago-Ferrero, Pablo A1 - Rodriguez-Mozaz, Sara A1 - Budzinski, Hélène A1 - Devier, Marie-Helene A1 - Dierkes, Georg A1 - Boulard, Lise A1 - Jacobs, Griet A1 - Voorspoels, Stefan A1 - Rüdel, Heinz A1 - Ahrens, Lutz T1 - What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS N2 - A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high resolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9-69% of spiked compounds using LC-HRMS and 20-60% of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants’ own suspect lists led to putative identification of on average ~145 and ~20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening identified on average ~42 and ~56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (KOW) values ranging from -9.9 to 16 and mass-to-charge ratio (m/z) of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log KOW and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples. KW - General Environmental Science KW - Suspect and non-target analysis KW - Biota KW - Expobome KW - Collaborative trial PY - 2023 DO - https://doi.org/10.1016/j.envint.2023.108288 VL - 181 SP - 1 EP - 24 PB - Elsevier B.V. AN - OPUS4-58681 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -