Article
Biochemistry & Molecular Biology
Zhanxuan E. Wu, Marlena C. Kruger, Garth J. S. Cooper, Ivana R. Sequeira, Anne-Thea McGill, Sally D. Poppitt, Karl Fraser
Summary: Untargeted metabolomics of blood samples has been widely used to study metabolic alterations in diseases and identify biomarkers. This study found that the concentration of metabolites in plasma was more reflective of the liver profile than muscle or adipose tissue, highlighting the importance of considering the metabolomic relationship between different tissues and plasma.
Article
Biochemistry & Molecular Biology
John Koussiouris, Nikita Looby, Vathany Kulasingam, Vinod Chandran
Summary: Approximately 25% of psoriasis patients have psoriatic arthritis (PsA), and there is a need for biomarkers to predict conversion from psoriasis to PsA. Lipids, especially fatty acids, are of interest in psoriatic disease. A liquid chromatography-mass spectrometry (LC-MS) method was developed to analyze fatty acids and similar molecules using solid-phase microextraction (SPME).
Serum samples from psoriatic disease patients were analyzed using the LC-MS method and 18 fatty acids and lipid compounds were found to be significantly different between psoriasis and PsA groups.
Article
Chemistry, Analytical
Dong Hao Wang, Hui Gyu Park, Zhen Wang, R. J. Scott Lacombe, Vadim V. Shmanai, Andrei Bekish, Karsten Schmidt, Mikhail S. Shchepinov, J. Thomas Brenna
Summary: This study introduces a novel method for quantitatively determining the deuterium content along a hydrocarbon chain. By utilizing deuteration reactions and analysis techniques, the method enables accurate quantification of deuterium abundance at different positions of D-HUFA.
ANALYTICAL CHEMISTRY
(2021)
Article
Plant Sciences
Alison Green, Guillermo Federico Padilla-Gonzalez, Methee Phumthum, Monique S. J. Simmonds, Nicholas J. Sadgrove
Summary: Commercially used for treating chronic venous insufficiency, A. hippocastanum L. fruits contain beta-aescin which exhibits anti-inflammatory effects. However, diverse organ-specific secondary metabolites have been overlooked as potential pharmacological opportunities. Untargeted metabolomics analysis revealed unique chemical profiles in different organs of Aesculus plants, with fruits showing the highest antifungal and antioxidant activities. This suggests potential therapeutic leads for further exploration in the entire genus of Aesculus.
Article
Food Science & Technology
Frank Klont, Stepan Stepanovic, Daan Kremer, Ron Bonner, Daan J. Touw, Eelko Hak, Stephan J. L. Bakker, Gerard Hopfgartner
Summary: This study describes improved strategies for detecting chemical exposures and their application in a non-targeted metabolomics study on kidney transplant recipients. The new methods can detect more chronic exposures and improve the reliability of detecting intermittent exposures.
FOOD AND CHEMICAL TOXICOLOGY
(2022)
Article
Psychiatry
Meng Song, Ya Liu, Jiahui Zhou, Han Shi, Xi Su, Minglong Shao, Yongfeng Yang, Xiujuan Wang, Jingyuan Zhao, Dong Guo, Qing Liu, Luwen Zhang, Yan Zhang, Luxian Lv, Wenqiang Li
Summary: Using liquid chromatography mass spectrometry, the study identified potential biomarkers associated with the diagnosis and treatment of schizophrenia. Biomarker panels were selected to distinguish between schizophrenia and healthy controls, as well as between schizophrenia before and after medication. Disturbances in lipid metabolism, sulfation modification, tryptophan metabolism, anti-inflammatory and antioxidant systems, and unsaturated fatty acids metabolism were observed in schizophrenia. These findings could contribute to the development of objective diagnostic and drug treatment monitoring tools for schizophrenia.
PSYCHIATRY RESEARCH
(2023)
Article
Immunology
Meilin Ding, Zha Zhen, Mei Ju, Suolang Quzong, Xuesi Zeng, Xiaoxia Guo, Rui Li, Mingming Xu, Jingjing Xu, Hongyang Li, Wei Zhang
Summary: Our study found significant differences in the metabolomic profiles between vitiligo patients and healthy subjects in both plateau and plain areas, with significantly higher levels of S1P in the serum of vitiligo patients and healthy subjects in the plateau area. These findings suggest that alterations in S1P metabolism may be involved in the pathogenesis of vitiligo.
CLINICAL IMMUNOLOGY
(2023)
Review
Chemistry, Analytical
Hanne Roberg-Larsen, Elsa Lundanes, Tuula A. Nyman, Frode S. Berven, Steven Ray Wilson
Summary: Single-cell analysis provides in-depth insights into diseases and diagnostics, with liquid chromatography playing a crucial role. The development of novel sample preparation techniques and improvements in mass spectrometry are enhancing the promise of single-cell analysis. However, technical challenges and the need for higher throughput and robustness may lead to the reinvention of alternative nano LC column formats.
ANALYTICA CHIMICA ACTA
(2021)
Article
Chemistry, Analytical
Yasin El Abiead, Christoph Bueschl, Lisa Panzenboeck, Mingxun Wang, Maria Doppler, Bernhard Seidl, Juergen Zanghellini, Pieter C. Dorrestein, Gunda Koellensperger
Summary: This study utilized 13C labeled and unlabeled Pichia pastoris extracts to identify heterogeneous multimerization in biological samples and successfully annotated the monomeric partners of these heteromers. Additionally, they created the first MS/MS library that included data from heteromultimers and demonstrated the relevance of these newly annotated ions to other publicly available datasets. Furthermore, their workflow detected metabolite features originating from heterodimers in other datasets as well.
ANALYTICA CHIMICA ACTA
(2022)
Article
Food Science & Technology
Dhara Dixit
Summary: This study reveals the biochemical traits, mineral makeup, and secondary metabolite outline of Iyengaria stellata using untargeted metabolite profiling. A total of 108 putative metabolites were detected, including steroids, terpenoids, ketones, esters, polyphenols, anthraquinones, tocopherol, etc. The study highlights the potential of I. stellata as a natural source in pharmaceutical and nutraceutical compositions.
Article
Biochemical Research Methods
Eva-Maria Harrieder, Fleming Kretschmer, Sebastian Boecker, Michael Witting
Summary: Metabolomics and lipidomics involve the large-scale analysis of metabolites, requiring advanced analytical methods. Liquid Chromatography-Mass Spectrometry (LC-MS) is a commonly used technique that provides different selectivities in separation and high sensitivity in detection. Due to the huge chemical diversity, there is no single analysis method that can cover the entire range of metabolites or lipids, leading to the use of different separation methods. This review explores the current use of LC-MS in metabolomics and lipidomics using data from public databases, and highlights potential future trends and improvements needed.
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
(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
Biochemistry & Molecular Biology
Minnie Jacob, Refat M. Nimer, Mohamad S. Alabdaljabar, Essa M. Sabi, Mysoon M. Al-Ansari, Maged Housien, Khalid M. Sumaily, Lina A. Dahabiyeh, Anas M. Abdel Rahman
Summary: This study used liquid chromatography-mass spectrometry (LC-MS) metabolomics to analyze the metabolome of serum from patients with nephrotic syndrome (NS) and found significant changes in 176 metabolites compared to the control group. Dysregulation of arginine, proline, and tryptophan metabolism, as well as arginine, phenylalanine, tyrosine, and tryptophan biosynthesis, were the most common metabolic pathways affected in NS.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Pharmacology & Pharmacy
Yanru Zhu, Feng Wang, Jiatong Han, Yunli Zhao, Miao Yu, Mingyan Ma, Zhiguo Yu
Summary: This study investigated the preventive effect and mechanism of L-theanine on depression in juvenile rats. The results confirmed the preventive effect of L-theanine and identified potential biomarkers related to its treatment. Overall, L-theanine achieved significant preventive results on depression by regulating various aspects of the body, such as amino acids, lipids, and inflammation.
JOURNAL OF PHARMACEUTICAL ANALYSIS
(2023)
Article
Agronomy
Yongquan Li, Bipei Zhang, Runsheng Huang, Min Wen, Leying Huang, Yiting Su, Yanjun Sun, Ning Wang, Wei Guo
Summary: The drought stress responses of plants are complex regulatory mechanisms that can be studied through metabolomics. In this study, the effect of drought stress on a drought-tolerant cultivar of Belosynapsis ciliata was investigated using metabolomic analysis. Different metabolites and pathways related to drought tolerance were identified.
Article
Biochemical Research Methods
Sufang Wang, Michael Gribskov
Article
Cell Biology
Y. Chen, J. Wang, S. Yang, S. Utturkar, J. Crodian, S. Cummings, J. Thimmapuram, P. San Miguel, S. Kuang, M. Gribskov, K. Plant, T. Casey
PHYSIOLOGICAL GENOMICS
(2017)
Article
Biochemistry & Molecular Biology
Chao Cai, Nadia A. Lanman, Kelley A. Withers, Alyssa M. DeLeon, Qiong Wu, Michael Gribskov, David E. Salt, Jo Ann Banks
Article
Genetics & Heredity
Sufang Wang, Michael Gribskov
MOLECULAR GENETICS & GENOMIC MEDICINE
(2019)
Article
Biochemical Research Methods
Junhui Wang, Michael Gribskov
BMC BIOINFORMATICS
(2019)
Article
Multidisciplinary Sciences
Harshita Yakkala, Devyani Samantarrai, Michael Gribskov, Dayananda Siddavattam
Article
Biochemical Research Methods
Mengmeng Zhu, Michael Gribskov
BMC BIOINFORMATICS
(2019)
Article
Evolutionary Biology
Hui-Meng Lu, Jing-Di Li, Yu-Dan Zhang, Xiao-Li Lu, Chang Xu, Yuan Huang, Michael Gribskov
GENOME BIOLOGY AND EVOLUTION
(2020)
Article
Cell Biology
Jing Li, Sufang Wang, Yuhui Li, Nu Zhang, Michael Gribskov, Xi Zhang, Min Lin, Dongyan Shao, Chen Zhang, Liangliang Dai, Chuanguang Qin, Xianglong Duan, Juntang Li, Feng Xu, Hui Yang
JOURNAL OF CELLULAR PHYSIOLOGY
(2020)
Article
Biochemical Research Methods
Xiangying Sun, Zhezhen Wang, Johnathon M. Hall, Carlos Perez-Cervantes, Alexander J. Ruthenburg, Ivan P. Moskowitz, Michael Gribskov, Xinan H. Yang
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Mathematical & Computational Biology
Sufang Wang, Yu Zhang, Congzhan Hu, Nu Zhang, Michael Gribskov, Hui Yang
INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES
(2020)
Article
Computer Science, Information Systems
Khaleel Mershad, Qutaibah M. Malluhi, Mourad Ouzzani, Mingjie Tang, Michael Gribskov, Walid G. Aref
DISTRIBUTED AND PARALLEL DATABASES
(2018)
Article
Computer Science, Information Systems
Khaleel Mershad, Qutaibah M. Malluhi, Mourad Ouzzani, Mingjie Tang, Michael Gribskov, Walid G. Aref, Deo Prakash
DISTRIBUTED AND PARALLEL DATABASES
(2018)
Article
Biochemical Research Methods
Hao Peng, Yifan Yang, Shandian Zhe, Jian Wang, Michael Gribskov, Yuan Qi
Article
Biochemical Research Methods
Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov