Article
Spectroscopy
Alexandra Rust, Federico Marini, Mike Allsopp, Paul J. Williams, Marena Manley
Summary: NIR spectroscopy combined with chemometric analysis is an effective tool for detecting syrup-adulterated honey. Factors such as age, storage temperature, syrup adulteration, and irradiation treatment can significantly affect the NIR spectra of honey, with time and adulteration having the greatest impact on signal disparity.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Celina Monzon, Sonia Schoneich, Robert E. Synovec
Summary: The study used GC-GC-TOFMS and PCA to investigate the effects of farming pacu fish with rice fields on the metabolome of the fish. The majority of metabolites were found to be downregulated in the farmed fish, with some involved in important metabolic processes such as protein catabolism, nucleotide metabolism, and tissue repair.
MICROCHEMICAL JOURNAL
(2021)
Review
Food Science & Technology
Maria Perez-Jimenez, Emma Sherman, M. A. Pozo-Bayon, Farhana R. Pinu
Summary: Flavoromics is an alternative method to traditional targeted approaches, using non-targeted and data-driven techniques to establish relationships between the chemical composition of foods and their sensory properties. In wine research, untargeted volatile profiling through flavoromics can provide novel insights and assist in producing diverse wines and marketing them based on consumer preferences.
FOOD RESEARCH INTERNATIONAL
(2021)
Article
Biochemical Research Methods
Sonia Schoneich, Grant S. Ochoa, Celina M. Monzon, Robert E. Synovec
Summary: This study compared pacu fish raised in an integrated rice-fish farming system with those raised in tanks using F-ratio analysis, and discovered the impact of farming methods on the fish's metabolome. Despite challenges such as artifact peaks and redundant hits, improved analysis methods and artifact removal led to accurate results. The findings suggest that the integrated farming system may negatively affect the quality of pacu fish.
JOURNAL OF CHROMATOGRAPHY A
(2022)
Review
Chemistry, Analytical
Neda Feizi, Fatemeh Sadat Hashemi-Nasab, Fatemeh Golpelichi, Nazanin Saburouh, Hadi Parastar
Summary: Metabolomics is the study of metabolites in biological systems, utilizing chemometric methods to process data and extract valuable information from data generated by GC-MS and GC x GC-MS.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2021)
Article
Food Science & Technology
Wengang Jin, Shibo Zhao, Haiyan Sun, Jinjin Pei, Ruichang Gao, Pengfei Jiang
Summary: The changes in flavor volatiles of black, green, and yellow wheat grains after cooking were analyzed using gas chromatography-ion migration spectrometry (GC-IMS). Different volatile flavor traits were observed in the cooked wheat, and 22 differential volatile compounds were identified as flavor markers. This study provides valuable information on the flavor characteristics of different colored cooked wheat.
CURRENT RESEARCH IN FOOD SCIENCE
(2023)
Article
Food Science & Technology
Liyuan Wang, Zhengyan Hu, Jing Chen, Tianjiao Wang, Pinggu Wu, Ying Ying
Summary: This study developed a method to simultaneously detect a dozen preservatives in pastry using gas chromatography-mass spectrometry. The preservatives showed good linearity within the range of 1.0-50 μg/mL, with detection limits of 0.04-2.00 mg/kg and quantification limits of 0.12-6.67 mg/kg. The method is suitable for the determination of 12 preservatives in pastry.
Article
Chemistry, Applied
Aileen Pua, Rui Min Vivian Goh, Yunle Huang, Vivien Chia Yen Tang, Kim-Huey Ee, Maurin Cornuz, Shao Quan Liu, Benjamin Lassabliere, Bin Yu
Summary: This review summarizes the analytical challenges associated with coffee's complex volatile composition and matrix complexity, and discusses recent developments in instrumental techniques to address them. It evaluates the benefits of state-of-the-art analytical techniques applied to coffee volatile analysis and proposes analytical workflows for different objectives and concerns.
Article
Pharmacology & Pharmacy
Qing-Qing Yu, Heng Zhang, Shiyuan Zhao, Dadi Xie, Haibo Zhao, Weidong Chen, Min Pang, Baoqin Han, Pei Jiang
Summary: This study comprehensively analyzed the metabolite changes in a mouse model of irinotecan-induced intestinal mucositis, identifying 46 metabolites with significant changes in tissues and serum. The study highlighted key pathways related to these metabolites, offering insights into new biomarkers for diagnosis and treatment of intestinal mucositis.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Endocrinology & Metabolism
Jun Kou, Chunyang He, Lin Cui, Zhengping Zhang, Wei Wang, Li Tan, Da Liu, Wei Zheng, Wei Gu, Ning Xia
Summary: The study on Chinese postmenopausal women with osteoporosis identified potential biomarkers related to metabolic pathway disorders, providing new insights for early diagnosis. The findings suggest that metabonomic analysis has great potential for application in postmenopausal women with osteoporosis.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Chemistry, Analytical
Andrea Cerrato, Alessandra Biancolillo, Giuseppe Cannazza, Chiara Cavaliere, Cinzia Citti, Aldo Lagana, Federico Marini, Massimo Montanari, Carmela Maria Montone, Roberta Paris, Nino Virzi, Anna Laura Capriotti
Summary: This study conducted a comprehensive analysis of industrial hemp samples from different regions in Italy and different cultivars using metabolomics. The study found that cannabinoids, flavonoids, and phenolic acids play a key role in differentiating hemp samples and determining their biological activities.
ANALYTICA CHIMICA ACTA
(2023)
Article
Medical Laboratory Technology
Yuyang Hou, Yuanping He, Jingjie Wang, Yanfen Zhou, Bo Ma, Xin Li, Liang Shi, Qi Zhang
Summary: By analyzing the metabolic profiles of four different types of asthenozoospermia, this study revealed abnormal changes in metabolites and metabolic pathways associated with the disease. The findings provide new clues and evidence for the etiology, diagnosis, and treatment of asthenozoospermia.
CLINICA CHIMICA ACTA
(2023)
Article
Environmental Sciences
Shiyuan Zhao, Haitao Zhong, Chunmei Geng, Hongjia Xue, Changshui Wang, Wenxue Sun, Ruili Dang, Wenxiu Han, Pei Jiang
Summary: In this study, gas chromatography-mass spectrometry was used to investigate the toxic mechanisms of ACR in the main target tissues of rats, revealing 14 metabolic pathways related to amino acid, fatty acid, purine, and energy metabolism. The study suggests that the toxic mechanism of ACR may involve oxidative stress, inflammation, amino acid metabolism, and energy disorders.
ENVIRONMENTAL POLLUTION
(2021)
Article
Chemistry, Multidisciplinary
Carmen Socaciu, Francisc Dulf, Sonia Socaci, Floricuta Ranga, Andrea Bunea, Florinela Fetea, Adela Pintea
Summary: By using metabolomic approach, this study provides an analytical flow for the identification and characterization of valuable components in different types of food, food bioresources or byproducts. It also highlights the importance of phytochemicals as authenticity biomarkers and health-promoting molecules in functional vegetable oils.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Parker Ladd Bremer, Gert Wohlgemuth, Oliver Fiehn
Summary: Metabolomics by GC/MS is a standardized and reliable platform for understanding small molecule biology. The West Coast Metabolomics Center at UC Davis has collated over 156,000 samples and 2000 studies into the BinBase database, which provides meaningful insight to biologists and helps standardize metabolomics studies. They have developed an easy-to-use query interface, BinDiscover, for intuitive hypothesis generation based on these metabolomic samples.
JOURNAL OF CHEMINFORMATICS
(2023)
Article
Allergy
Stephanie Musiol, Carla P. Harris, Ruth Karlina, Johanna M. Gostner, Birgit Rathkolb, Benjamin Schnautz, Evelyn Schneider, Lisa Mair, Ernesto Elorduy Vergara, Claudia Flexeder, Sibylle Koletzko, Carl-Peter Bauer, Tamara Schikowski, Dietrich Berdel, Andrea von Berg, Gunda Herberth, Jan Rozman, Martin Hrabe de Angelis, Marie Standl, Carsten B. Schmidt-Weber, Siegfried Ussar, Francesca Alessandrini
Summary: This study investigated the association between starch, sucrose, and fat in relation to allergic sensitization and asthma prevalence in humans, as well as their underlying mechanisms using mouse models. The findings suggest that high consumption of digestible carbohydrates is associated with an increased prevalence of asthma in humans and aggravated lung allergic inflammation in mice, involving oxidative stress-related mechanisms.
Article
Biology
Justine Chee, Louise Lanoue, Dave L. Clary, Kendall Higgins, Lynette Bower, Ann Flenniken, Ruolin Guo, David Adams, Fatima Bosch, Robert E. Braun, Steve D. M. Brown, H. -J. Genie Chin, Mary Dickinson, Chih-Wei Hsu, Michael Dobbie, Xiang Gao, Sanjeev Galande, Anne Grobler, Jason Heaney, Yann Herault, Martin Hrabe de Angelis, Fabio Mammano, Lauryl M. J. Nutter, Helen Parkinson, Chuan Qin, Toshi Shiroishi, Radislav Sedlacek, J-K Seong, Ying Xu, Brian Brooks, Colin McKerlie, K. C. Kent Lloyd, Henrik Westerberg, Ala Moshiri
Summary: This study identified new genes and pathways associated with eye development through screening of mouse genes. These findings provide insights into the molecular and cellular mechanisms of eye development and could potentially contribute to the diagnosis and treatment of congenital blinding diseases.
Article
Biochemistry & Molecular Biology
Grace Png, Raffaele Gerlini, Konstantinos Hatzikotoulas, Andrei Barysenka, N. William Rayner, Lucija Klaric, Birgit Rathkolb, Juan A. Aguilar-Pimentel, Jan Rozman, Helmut Fuchs, Valerie Gailus-Durner, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Claus Pietrzik, James F. Wilson, Martin Hrabe Angelis, Christoph Becker-Pauly, Arthur Gilly, Eleftheria Zeggini
Summary: In this study, a protein quantitative trait locus (pQTL) analysis was performed on two Greek cohorts, identifying 301 independently associated pQTL variants for 170 proteins related to cardiometabolic processes. The study also discovered rare variants and observed changes in frequency of certain pQTL variants in the isolated populations. Additionally, the study identified proteins causally associated with cardiometabolic traits and described a knock-out Mep1b mouse model.
HUMAN MOLECULAR GENETICS
(2023)
Article
Biochemistry & Molecular Biology
Lillian Garrett, Dietrich Truembach, Nadine Spielmann, Wolfgang Wurst, Helmut Fuchs, Valerie Gailus-Durner, Martin Hrabe De Angelis, Sabine M. Hoelter
Summary: Neuropsychiatric diseases represent a significant global disease burden and require innovative approaches for pathogenic understanding, biomarker identification, and therapeutic strategies. The malfunction of the heart/brain axis, particularly through the autonomic nervous system and brain central autonomic network interaction, plays a crucial role in the etiology of these diseases. This inter-relationship offers potential avenues for novel diagnosis and treatment approaches.
Article
Endocrinology & Metabolism
Simon I. I. Dreher, Martin Irmler, Olga Pivovarova-Ramich, Katharina Kessler, Karsten Juerchott, Carsten Sticht, Louise Fritsche, Patrick Schneeweiss, Juergen Machann, Andreas F. H. Pfeiffer, Martin Hrabe de Angelis, Johannes Beckers, Andreas L. L. Birkenfeld, Andreas Peter, Andreas M. M. Niess, Cora Weigert, Anja Moller
Summary: This study examined the response of subcutaneous adipose tissue (SAT) to exercise and compared it with skeletal muscle. The results showed that SAT responds differently to exercise, with reductions in transcripts related to lipid storage and lipogenesis, as well as modulation of the circadian rhythm, which can potentially prevent metabolic syndrome progression towards diabetes.
INTERNATIONAL JOURNAL OF OBESITY
(2023)
Article
Biochemistry & Molecular Biology
Manuela A. Oestereicher, Janine M. Wotton, Shinya Ayabe, Ghina Bou About, Tsz Kwan Cheng, Jae-Hoon Choi, Dave Clary, Emily M. Dew, Lahcen Elfertak, Alain Guimond, Hamed Haseli Mashhadi, Jason D. Heaney, Lois Kelsey, Piia Keskivali-Bond, Federico Lopez Gomez, Susan Marschall, Michael McFarland, Hamid Meziane, Violeta Munoz Fuentes, Ki-Hoan Nam, Zuzana Nichtova, Dale Pimm, Lynette Bower, Jan Prochazka, Jan Rozman, Luis Santos, Michelle Stewart, Nobuhiko Tanaka, Christopher S. Ward, Amelia M. E. Willett, Robert Wilson, Robert E. Braun, Mary E. Dickinson, Ann M. Flenniken, Yann Herault, K. C. Kent Lloyd, Ann-Marie Mallon, Colin McKerlie, Stephen A. Murray, Lauryl M. J. Nutter, Radislav Sedlacek, Je Kyung Seong, Tania Sorg, Masaru Tamura, Sara Wells, Elida Schneltzer, Helmut Fuchs, Valerie Gailus-Durner, Martin Hrabe de Angelis, Jacqueline K. White, Nadine Spielmann
Summary: This study provides the first reference ranges for electrocardiography in laboratory mice, which are important for diagnostic decision-making and pre-clinical scientific research.
Review
Biochemistry & Molecular Biology
Jiri Lindovsky, Zuzana Nichtova, Nathalia R. V. Dragano, David Pajuelo Reguera, Jan Prochazka, Helmut Fuchs, Susan Marschall, Valerie Gailus-Durner, Radislav Sedlacek, Martin Hrabe de Angelis, Jan Rozman, Nadine Spielmann
Summary: Cardiovascular diseases have a high mortality rate globally and pose a significant burden on health care systems. The International Mouse Phenotyping Consortium (IMPC) utilizes mouse models to study cardiovascular diseases and aims to target each protein-coding gene to examine multiple organ systems. This review discusses the recent advances of the IMPC in cardiac research, focusing on the diagnostic requirements for high-throughput electrocardiography and transthoracic echocardiography in mice. Additionally, it explores the relationship between metabolism and the heart, highlighting the phenotypes that emerge in knockout mice for certain genes and identifying novel loss-of-function genes affecting both metabolism and the cardiovascular system.
Article
Biochemistry & Molecular Biology
Christina Bukas, Isabella Galter, Patricia da Silva-Buttkus, Helmut Fuchs, Holger Maier, Valerie Gailus-Durner, Christian L. Mueller, Martin Hrabe de Angelis, Marie Piraud, Nadine Spielmann
Summary: Echo2Pheno is an automatic statistical learning workflow specifically designed for analyzing and interpreting high-throughput non-anesthetized transthoracic murine echocardiographic images. It accurately confirms known cardiovascular genotype-phenotype relationships and discovers novel genes causing altered cardiovascular phenotypes. This provides an important step toward automatic end-to-end learning for linking echocardiographic readouts to cardiovascular phenotypes in conscious mice.
Article
Biochemistry & Molecular Biology
Patricia da Silva-Buttkus, Nadine Spielmann, Tanja Klein-Rodewald, Christine Schuett, Antonio Aguilar-Pimentel, Oana V. Amarie, Lore Becker, Julia Calzada-Wack, Lillian Garrett, Raffaele Gerlini, Markus Kraiger, Stefanie Leuchtenberger, Manuela A. Oestereicher, Birgit Rathkolb, Adrian Sanz-Moreno, Claudia Stoeger, Sabine M. Hoelter, Claudia Seisenberger, Susan Marschall, Helmut Fuchs, Valerie Gailus-Durner, Martin Hrabe de Angelis
Summary: Rare diseases pose challenges in medicine due to their diverse clinical manifestations and low prevalence. The lack of specific treatments for the majority of rare diseases highlights the need for research. Genome sequencing technology allows for the identification of potential disease-causing genes, but further confirmation is required. Mouse knockout models are crucial for studying the genetics of rare diseases and the German Mouse Clinic is a pioneer in this field. Collaboration between research institutions, clinicians, and patient groups is necessary to advance the understanding and treatment of rare diseases.
Article
Cell Biology
Daniel Garger, Martin Meinel, Tamina Dietl, Christina Hillig, Natalie Garzorz-Stark, Kilian Eyerich, Martin Hrabe de Angelis, Stefanie Eyerich, Michael P. P. Menden
Summary: Through studying the association between various phenotypic traits and lifespan, it was found that somatic mutation and resting heart rate are negatively correlated with lifespan, while other traits show strong associations. Resting heart rate enhances the prediction of lifespan, indicating its direct influence or representation of lower-level mechanisms associated with lifespan.
Article
Genetics & Heredity
Daniel G. Calame, Tianyu Guo, Chen Wang, Lillian Garrett, Angad Jolly, Moez Dawood, Alina Kurolap, Noa Zunz Henig, Jawid M. Fatih, Isabella Herman, Haowei Du, Tadahiro Mitani, Lore Becker, Birgit Rathkolb, Raffaele Gerlini, Claudia Seisenberger, Susan Marschall, Jill Hunter, Amanda Gerard, Alexis Heidlebaugh, Thomas Challman, Rebecca C. Spillmann, Shalini N. Jhangiani, Zeynep Coban-Akdemir, Seema Lalani, Lingxiao Liu, Anya Revah-Politi, Alejandro Iglesias, Edwin Guzman, Evan Baugh, Nathalie Boddaert, Sophie Rondeau, Clothide Ormieres, Giulia Barcia, Queenie K. G. Tan, Sophie Isabelle Thiffault, Tomi Pastinen, Kazim Sheikh, Suur Biliciler, Davide Mei, Federico Melani, Vandana Shashi, Yuval Yaron, Mary Steele, Emma Wakeling, Elsebet Ostergaard, Francisca Undiagnosed Dis Network, Francisca Millan, Teresa Santiago-Sim, Julien Thevenon, Ange-Line Bruel, Christel Thauvin-Robinet, Denny Popp, Konrad Platzer, Pawel Gawlinski, Wojciech Wiszniewski, Dana Marafi, Davut Pehlivan, Jennifer E. Posey, Richard A. Gibbs, Valerie Gailus-Durner, Renzo Guerrini, Helmut Fuchs, Martin Hrabe de Angelis, Sabine M. Hoelter, Hoi-Hung Cheung, Shen Gu, James R. Lupski
Summary: DExD/H-box RNA helicases (DDX/DHX) are part of a large gene family that encodes enzymes and variations in these genes can lead to neurodevelopmental disorders and cancer. By analyzing genetic data, researchers found rare variants in the DHX9 gene in individuals with different disorders ranging from neurodevelopmental disorders to a specific type of polyneuropathy. Further experiments confirmed that DHX9 is important for neurodevelopment and neuronal homeostasis.
AMERICAN JOURNAL OF HUMAN GENETICS
(2023)
Meeting Abstract
Immunology
Henning Jacobsen, Kerstin Walendy-Gnirss, Nilgun Tekin-Bubenheim, Nancy Mounogou Kouassi, Isabel Ben-Batalla, Nikolaus Berenbrok, Martin Wolff, Vinicius Pinho dos Reis, Martin Zickler, Lucas Scholl, Annette Gries, Hanna Jania, Arne Duesedau, Gundula Pilnitz-Stolze, Aicha Jeridi, Ali O. Yildirim, Helmut Fuchs, Valerie Gailus-Durner, Claudia Stoeger, Martin Hrabe de Angelis, Tatjana Manuylova, Karin Klingel, Fiona J. Culley, Jochen Behrends, Sonja Loges, Bianca Schneider, Susanne Krauss-Etschmann, Peter Openshaw, Guelsah Gabriel
JOURNAL OF REPRODUCTIVE IMMUNOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Asrar Ali Khan, Gema Valera Vazquez, Montse Gustems, Rafaele Matteoni, Fei Song, Philipp Gormanns, Sabine Fessele, Michael Raess, Martin de Angelis, INFRAFRONTIER Consortium
Summary: INFRAFRONTIER has become a prominent research infrastructure in Europe for mouse model generation, phenotyping, archiving, and distribution. With a network of 22 partners from 15 countries, INFRAFRONTIER continuously expands its resources and services for the research community. By combining European rodent model expertise, INFRAFRONTIER aims to enhance accessibility of cutting-edge disease modelling technologies in Europe. The article provides an overview of INFRAFRONTIER's latest developments, its widely utilized services, resources, and technical advancements, including its database, Curated Disease Models, Cancer and Rare Disease resources, and state-of-the-art services.
Article
Endocrinology & Metabolism
Leona Kovac, Thomas Goj, Meriem Ouni, Martin Irmler, Markus Jaehnert, Johannes Beckers, Martin Hrabe De Angelis, Andreas Peter, Anja Moller, Andreas L. Birkenfeld, Cora Weigert, Annette Schuermann
Summary: Exercise training can improve glucose tolerance in obese individuals, but some may not respond positively. This study analyzed gene expression and DNA methylation in skeletal muscle of low and high responders to endurance training, identifying differences in gene expression and potential novel markers for intervention success.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Meeting Abstract
Endocrinology & Metabolism
R. Jumpertz von Schwartzenberg, K. Bodis, J. Martin, M. Schon, M. Hrabe de Angelis, N. Perakakis, S. Kabisch, A. Pfeiffer, M. Blueher, J. Szendroedi, N. Stefan, R. Wagner, A. L. Birkenfeld, M. Roden, A. Fritsche