Novel biomarkers for pre-diabetes identified by metabolomics

Wang‐Sattler, Rui, Yu, Zhonghao, Herder, Christian, Messias, Ana C, Floegel, Anna, He, Ying, Heim, Katharina, Campillos, Monica +35 more·2012·Molecular Systems Biology

Cited by (702)

Items 201–300 of 702

  1. Lipidomic analysis of serum samples from migraine patients
    Caixia Ren, Jia Liu, Juntuo Zhou, Hui Liang, Yayun Wang, Yinping Sun, Bin Ma, Yuxin Yin · 2018 · Lipids in Health and Disease
  2. Metabolic biomarkers for chronic kidney disease
    Marc Breit, Klaus M. Weinberger · 2015 · Archives of Biochemistry and Biophysics
  3. Metabolomics, Nutrition, and Potential Biomarkers of Food Quality, Intake, and Health Status
    Jean‐Louis Sébédio · 2017 · Advances in food and nutrition research
  4. Quantitative amino acid profiling and stable isotopically labeled amino acid tracer enrichment used for in vivo human systemic and tissue kinetics measurements
    Andreas Bornø, Gerrit van Hall · 2014 · Journal of Chromatography B
  5. Biomarkers for predicting type 2 diabetes development—Can metabolomics improve on existing biomarkers?
    Otto I. Savolainen, Björn Fagerberg, Mads Vendelbo Lind, Ann‐Sofie Sandberg, Alastair B. Ross, Göran M.L. Bergström · 2017 · PLoS ONE
  6. First-Trimester Maternal Serum Amino Acids and Acylcarnitines Are Significant Predictors of Gestational Diabetes
    Jaana Nevalainen, Mikko Sairanen, Heidi Appelblom, Mika Gissler, Susanna Timonen, Markku Ryynänen · 2016 · The Review of Diabetic Studies
  7. Metabolomic signatures after bariatric surgery – a systematic review
    M. E. de L. Vaz, Sofia Silva Pereira, Mariana Pereira Monteiro · 2021 · Reviews in Endocrine and Metabolic Disorders
  8. Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up
    Dennis Owen Mook-Kanamori, Werner Römisch‐Margl, Gabi Kastenmüller, Cornelia P. Prehn, A. K. Petersen, Thomas Illig, Christian Gieger, Rui Wang‐Sattler, Christa Meisinger, Annette Peters et al. · 2014 · Journal of Endocrinological Investigation
  9. Plasma acylcarnitine profiling indicates increased fatty acid oxidation relative to tricarboxylic acid cycle capacity in young, healthy low birth weight men
    Amalie Ribel-Madsen, Rasmus Ribel‐Madsen, Charlotte Brøns, Christopher B. Newgard, Allan Arthur Vaag, Lars Ingvar Hellgren · 2016 · Physiological Reports
  10. Nat1 Deficiency Is Associated with Mitochondrial Dysfunction and Exercise Intolerance in Mice
    Indumathi Chennamsetty, Michael J Coronado, Kévin Contrepois, Mark P. Keller, Ivan Carcamo‐Orive, John Sandin, Giovanni Fajardo, Andrew J. Whittle, Mohsen Fathzadeh, Michael P. Snyder et al. · 2016 · Cell Reports
  11. Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study
    Sophie Molnos, Simone Wahl, Mark Haid, Elisabeth M. W. Eekhoff, René Pool, Anna Floegel, Joris Deelen, Daniela Much, Cornelia P. Prehn, Michaela Breier et al. · 2017 · Diabetologia
  12. Metabolomics as a Tool to Understand Pathophysiological Processes
    Julijana Ivanišević, Aurélien Thomas · 2018 · Methods in molecular biology
  13. Ethnic disparities attributed to the manifestation in and response to type 2 diabetes: insights from metabolomics
    Sampara Vasishta, Kailash Ganesh, Shashikiran Umakanth, Manjunath Bandu Joshi · 2022 · Metabolomics
  14. A targeted metabolomics assay for cardiac metabolism and demonstration using a mouse model of dilated cardiomyopathy
    James A. West, Abdelaziz Beqqali, Zsuzsanna Ament, Perry M Elliot, Yigal M. Pinto, Eloisa Arbustini, Julian Leether Griffin · 2016 · Metabolomics
  15. Large-scale Metabolomic Analysis Reveals Potential Biomarkers for Early Stage Coronary Atherosclerosis
    Xueqin Gao, Chaofu Ke, Haixia Liu, Wei Liu, Kang Li, Bo Yu, Meng Sun · 2017 · Scientific Reports
  16. Redefining environmental exposure for disease etiology
    Stephen M. Rappaport · 2018 · npj Systems Biology and Applications
  17. Ageing Investigation Using Two-Time-Point Metabolomics Data from KORA and CARLA Studies
    Choiwai Maggie Chak, María Elena Lacruz, Jonathan Adam, Stefan Brandmaier, Marcela Covic, Jialing Huang, Christa Meisinger, Daniel Tiller, Cornelia P. Prehn, Jerzy Adamski et al. · 2019 · Metabolites
  18. A Novel Test for IGT Utilizing Metabolite Markers of Glucose Tolerance
    Jeff E. Cobb, Andrea D. Eckhart, Régis Périchon, Jacob E. Wulff, Matthew W. Mitchell, Klaus‐Peter Adam, Robert L. Wolfert, Eric Button, Kay A. Lawton, Robert Elverson et al. · 2014 · Journal of Diabetes Science and Technology
  19. Ether lipids, sphingolipids and toxic 1‐deoxyceramides as hallmarks for lean and obese type 2 diabetic patients
    J. Thomas Hannich, Ursula Loizides‐Mangold, Flore Sinturel, 武士 原山, Bart Vandereycken, Camille Saini, Pauline Gosselin, Marie‐Claude Brulhart‐Meynet, Maud Robert, Stéphanie Chanon et al. · 2020 · Acta Physiologica
  20. Short-term variability of the human serum metabolome depending on nutritional and metabolic health status
    Inoncent Agueusop, Petra B. Musholt, BEATE M. KLAUS, Kendra E. Hightower, Aimo Kannt · 2020 · Scientific Reports
  21. Improved Metabolic Health Alters Host Metabolism in Parallel with Changes in Systemic Xeno-Metabolites of Gut Origin
    Caitlin Campbell, Dmitry Grapov, Oliver Fiehn, Carol J. Chandler, Dustin J. Burnett, Elaine C. Lima de Souza, Gretchen A. Casazza, Mary B. Gustafson, Nancy L. Keim, John W. I. Newman et al. · 2014 · PLoS ONE
  22. Personalized Metabolomics for Predicting Glucose Tolerance Changes in Sedentary Women After High-Intensity Interval Training
    Naomi L. Kuehnbaum, Jenna B. Gillen, Martin J. Gibala, Philip Britz‐McKibbin · 2014 · Scientific Reports
  23. Metabolomic profiling identifies potential pathways involved in the interaction of iron homeostasis with glucose metabolism
    Lars Stechemesser, Sebastian K. Eder, Andrej Wagner, Wolfgang Patsch, Alexandra Feldman, Michael Straßer, Simon Auer, David Niederseer, Ursula Huber-Schönauer, Bernhard Paulweber et al. · 2016 · Molecular Metabolism
  24. Shared and distinct lipid-lipid interactions in plasma and affected tissues in a diabetic mouse model
    Kelli Margot Sas, Jiahe Lin, Thekkelnaycke M. Rajendiran, Tanu Soni, Viji Nair, Lucy M. Hinder, H. V. Jagadish, Thomas W. Gardner, Steven F. Abcouwer, Frank Chip Brosius et al. · 2017 · Journal of Lipid Research
  25. Serum metabolites associated with brain amyloid beta deposition, cognition and dementia progression
    Kwangsik T. Nho, Alexandra Kueider‐Paisley, Matthias Arnold, Siamak MahmoudianDehkordi, Shannon L. Risacher, Gregory Louie, Colette Blach, Rebecca Baillie, Xianlin Han, Gabi Kastenmüller et al. · 2021 · Brain Communications
  26. Time window-dependent effect of perinatal maternal protein restriction on insulin sensitivity and energy substrate oxidation in adult male offspring
    Aurore Martin Agnoux, Jean‐Philippe Antignac, Gilles Simard, Guillaume Poupeau, Dominique Darmaun, Patricia Parnet, Marie Cécile Alexandre-Gouabau · 2014 · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
  27. Metabonomics study of the therapeutic mechanism of fenugreek galactomannan on diabetic hyperglycemia in rats, by ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry
    Wenyue Jiang, Lu Gao, Pengdong Li, Hong Kan, Jiale Qu, Lihui Men, Zhiqiang Liu, Zhongying Liu · 2016 · Journal of Chromatography B
  28. Identification of a Circulating Amino Acid Signature in Frail Older Persons with Type 2 Diabetes Mellitus: Results from the Metabofrail Study
    Riccardo Calvani, Leocadio Rodríguez‐Mañas, Anna Picca, Federico Marini, Alessandra Biancolillo, Olga Laosa, Laura Pedraza, Jacopo Gervasoni, Aniello Primiano, Giorgia Conta et al. · 2020 · Nutrients
  29. Metabolomics in cardiometabolic diseases: Key biomarkers and therapeutic implications for insulin resistance and diabetes
    David Rizo‐Roca, John D. Henderson, Juleen Rae Zierath · 2025 · Journal of Internal Medicine
  30. Reduction in cardiometabolic risk factors by a multifunctional diet is mediated via several branches of metabolism as evidenced by nontargeted metabolite profiling approach
    Juscelino Tovar, Vanessa D. de Mello, Anne C. Nilsson, Maria Johansson, Jussi Paananen, Marko Lehtonen, Kati Hanhineva, Inger Björck · 2016 · Molecular Nutrition & Food Research
  31. Endocrinology Meets Metabolomics: Achievements, Pitfalls, and Challenges
    Janina Tokarz, Mark Haid, Alexander Cecil, Cornelia P. Prehn, Anna Artati, Gabriele Möller, Jerzy Adamski · 2017 · Trends in Endocrinology and Metabolism
  32. Integrated Lipidomics and Proteomics Point to Early Blood-Based Changes in Childhood Preceding Later Development of Psychotic Experiences: Evidence From the Avon Longitudinal Study of Parents and Children
    Francisco Madrid-Gambín, Melanie Föcking, Sophie Sabherwal, Meike Heurich, Jane A. English, Aoife O’Gorman, Tommi Suvitaival, Linda L. Ahonen, Mary D Cannon, Glyn Lewis et al. · 2019 · Biological Psychiatry
  33. Circadian rhythm of lipid metabolism
    Flore Sinturel, Weronika Spaleniak, Charna Dibner · 2022 · Biochemical Society Transactions
  34. Sharpening Precision Medicine by a Thorough Interrogation of Metabolic Individuality
    Kirk D. Beebe, Adam D. Kennedy · 2016 · Computational and Structural Biotechnology Journal
  35. Chronic Diseases and Lifestyle Biomarkers Identification by Metabolomics
    Annalaura Mastrangelo, Coral Barbas · 2017 · Advances in experimental medicine and biology
  36. Mutations at Ser331 in the HSN type I gene SPTLC1 are associated with a distinct syndromic phenotype
    Michaela Auer‐Grumbach, Heiko Bode, Thomas Rudolf Pieber, Maria Schabhüttl, Dirk Fischer, Rainer Seidl, Elisabeth Graf, Thomas Wieland, Reinhard Schuh, Gerda Vacariu et al. · 2013 · European Journal of Medical Genetics
  37. Topographical Body Fat Distribution Links to Amino Acid and Lipid Metabolism in Healthy Non-Obese Women
    François‐Pierre Martin, Ivan Montoliu, Sebastiano Collino, Max Scherer, Philippe A. Guy, Isabelle Tavazzi, Anita Thorimbert, Sofia Moco, Megan P. Rothney, David L. Ergun et al. · 2013 · PLoS ONE
  38. Type 2 diabetes is associated with postprandial amino acid measures
    Dennis Owen Mook-Kanamori, Renée de Mutsert, Patrick C.N. Rensen, Cornelia P. Prehn, Jerzy Adamski, Martin den Heijer, Saskia le Cessie, Karsten Suhre, Frits Richard Rosendaal, Ko Willems van Dijk · 2015 · Archives of Biochemistry and Biophysics
  39. Alterations in the metabolism of phospholipids, bile acids and branched-chain amino acids predicts development of type 2 diabetes in black South African women: a prospective cohort study
    Yingxu Zeng, Asanda Mtintsilana, Julia H. Goedecke, Lisa Kim Micklesfield, Tommy Olsson, Elin Chorell · 2019 · Metabolism
  40. Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large‐scale Chinese patients
    Jianglan Long, Hui Qiong Yang, Zhirui Yang, Qingquan Jia, Liwei Liu, Lingwei Kong, Huijing Cui, Suying Ding, Qian Qin, Nana Zhang et al. · 2021 · Clinical and Translational Medicine
  41. Whole-body metabolic fate of branched-chain amino acids
    Megan C. Blair, Michael D. Neinast, Zoltan Pierre Arany · 2021 · Biochemical Journal
  42. Metabolic Profiles during an Oral Glucose Tolerance Test in Pregnant Women with and without Gestational Diabetes
    Rainer Lehmann, Torben Friedrich, Guido Krebiehl, Denise Sonntag, Hans‐Ulrich Häring, Andreas Fritsche, Anita M. Hennige · 2015 · Experimental and Clinical Endocrinology & Diabetes
  43. Conserved Metabolic Changes in Nondiabetic and Type 2 Diabetic Bariatric Surgery Patients: Global Metabolomic Pilot Study
    Konrad Sarosiek, Kirk L. Pappan, Ankit V. Gandhi, Shivam Saxena, Christopher Y. Kang, H. McMahon, Galina I. Chipitsyna, David S. Tichansky, Hwyda A. Arafat · 2016 · Journal of Diabetes Research
  44. Unsaturated plasma phospholipids are consistently lower in the patients diagnosed with gestational diabetes mellitus throughout pregnancy: A longitudinal metabolomics study of Chinese pregnant women part 1
    Kai Pong Law, Xun Mao, Ting­-Li Han, Hua Zhang · 2016 · Clinica Chimica Acta
  45. Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts
    Mengya Shi, Siyu Han, Kristin Klier, Gisela Fobo, Corinna Montrone, Shixiang Yu, Makoto Harada, Ann‐Kristin Henning, Nele Friedrich, Martin Bahls et al. · 2023 · Cardiovascular Diabetology
  46. Analysis of serum metabolites for the discovery of amino acid biomarkers and the effect of galangin on cerebral ischemia
    Jian Gao, Hongjun Yang, Jianxin Chen, Jiansong Fang, Chang Chen, Rixin Liang, Gengliang Yang, Hongwei Wu, Chuanhong Wu, Shaojing Li · 2013 · Molecular BioSystems
  47. Bioanalytical Techniques in Nontargeted Clinical Lipidomics
    Tuulia Hyötyläinen, Matej Orešič · 2016 · Bioanalysis
  48. TIGER: technical variation elimination for metabolomics data using ensemble learning architecture
    Siyu Han, Jialing Huang, Francesco Foppiano, Cornelia P. Prehn, Jerzy Adamski, Karsten Suhre, Ying Li, Giuseppe Matullo, Freimut Schliess, Christian Gieger et al. · 2021 · Briefings in Bioinformatics
  49. Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms
    Daniel Gonzalez Izundegui, Matthew Gregory Nayor · 2022 · Current Diabetes Reports
  50. A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes
    Anna Halama, Shaza B. Zaghlool, Gaurav Thareja, Sara Abdul Kader, Wadha Al‐Muftah, Marjonneke J. Mook-Kanamori, Hina Sarwath, Yasmin Ali Mohamoud, Nisha Stephan, Sabine Ameling et al. · 2024 · Nature Communications
  51. A metabolomic investigation of the effects of vitamin E supplementation in humans
    Max Wong, John K. Lodge · 2012 · Nutrition & Metabolism
  52. Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study
    Hanna Eriksson Röhnisch, Cecilie Kyrø, Anja Olsen, Elin Thysell, Göran Hallmans, Ali Ata Moazzami · 2020 · BMC Medicine
  53. Metabolomics in childhood diabetes
    Brigitte I. Frohnert, Marian Rewers · 2015 · Pediatric Diabetes
  54. Short-term NO2exposure is associated with long-chain fatty acids in prospective cohorts from Augsburg, Germany: results from an analysis of 138 metabolites and three exposures
    Cavin K Ward-Caviness, Susanne Breitner, Kathrin Wolf, Josef Cyrys, Gabi Kastenmüller, Rui Wang‐Sattler, Alexandra Elisabeth Schneider, Annette Peters · 2016 · International Journal of Epidemiology
  55. Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study
    Hailuan Zeng, Renchao Tong, Wenxin Tong, Qiaoling Yang, Miaoyan Qiu, Aizhen Xiong, Siming Sun, Lili Ding, Hongli Zhang, Li Yang et al. · 2017 · Scientific Reports
  56. Metabolomics applied to diabetes−lessons from human population studies
    Sonia Liggi, Julian Leether Griffin · 2017 · The International Journal of Biochemistry & Cell Biology
  57. Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes
    Eleonora Porcu, Federica Gilardi, Liza Darrous, Loïc Yengo, Nasim Bararpour, Marie Gasser, Pedro Manuel Marques-Vidal, Philippe Froguel, Gérard Waeber, Aurélien Thomas et al. · 2021 · Scientific Reports
  58. Edge biomarkers for classification and prediction of phenotypes
    Tao Zeng, WanWei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li, Rui Liu, Luonan Chen · 2014 · Science China Life Sciences
  59. Associations of anthropometric markers with serum metabolites using a targeted metabolomics approach: results of the EPIC-potsdam study
    Ursula Bachlechner, Anna Floegel, Annika Steffen, Cornelia P. Prehn, Jerzy Adamski, Tobias Pischon, Heiner Boeing · 2016 · Nutrition and Diabetes
  60. Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort
    Nada Assi, Marc James Gunter, Duncan C. Thomas, Michael Fred Leitzmann, Magdalena Stępień, Véronique Chajès, Thierry O. Philip, Paolo Vineis, Christina Bamia, Marie‐Christine Boutron‐Ruault et al. · 2018 · American Journal of Clinical Nutrition
  61. Metabolomics Identifies a Biomarker Revealing In Vivo Loss of Functional β-Cell Mass Before Diabetes Onset
    Lingzi Li, Petra Krznar, Alexander Erban, Andréa Agazzi, Juliette Martin-Levilain, Sachin Supale, Joachim Kopka, Nicola Zamboni, Pierre Maechler · 2019 · Diabetes
  62. Comprehensive phenotypic analysis of the Dp1Tyb mouse strain reveals a broad range of down syndrome-related phenotypes.
    Lana-Elola, Eva, Cater, Heather, Watson-Scales, Sheona, Greenaway, Simon, Müller-Winkler, Jennifer, Gibbins, Dorota, Nemes, Mihaela, Slender, Amy, Hough, Tertius, Keskivali-Bond, Piia et al. · 2021 · Disease Models & Mechanisms
  63. Validation of a metabolite panel for early diagnosis of type 2 diabetes
    Tonia C. Carter, Dietrich Rein, Inken Padberg, Erik Peter, Ulrike E.E. Rennefahrt, Donna E. David, Valerie D. McManus, Elisha Stefanski, Silke Martin, Philipp Schatz et al. · 2016 · Metabolism
  64. Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohort
    Heun-Sik Lee, Tao Xu, Young Lee, Nam‐Hee Kim, Yeon Jung Kim, Jeong‐Min Kim, Sang Yun Cho, Kwang-Youl Kim, Moonsuk Nam, Jerzy Adamski et al. · 2016 · Metabolomics
  65. Insulin Resistance during normal child growth and development is associated with a distinct blood metabolic phenotype (Earlybird 72)
    Joanne Hosking, Jonathan H. Pinkney, Alison Jeffery, Ornella Cominetti, Laeticia Da Silva, Sebastiano Collino, Martin Kussmann, Jörg Hager, François‐Pierre Martin · 2019 · Pediatric Diabetes
  66. Diabetic Endothelial Cells Differentiated From Patient iPSCs Show Dysregulated Glycine Homeostasis and Senescence Associated Phenotypes
    Liping Su, Xiaocen Kong, Sze Jie Loo, Yu Gao, Jean‐Paul Kovalik, Xiaofei Su, Jianhua Ma, Lei Ye · 2021 · Frontiers in Cell and Developmental Biology
  67. Metabolomic applications in nutritional research: a perspective
    Aoife O’Gorman, Lorraine Brennan · 2015 · Journal of the Science of Food and Agriculture
  68. Identification of putative biomarkers for prediabetes by metabolome analysis of rat models of type 2 diabetes
    N. Yokoi, Masayuki Beppu, Eri Yoshida, R. Hoshikawa, Shihomi Hidaka, Toshiya Matsubara, M. Shinohara, Y. Irino, N. Hatano, S. Seino · 2015 · Metabolomics
  69. Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome
    Aikaterina Siopi, Olga Deda, Vasiliki Manou, Spyros Kellis, Ioannis Kosmidis, Despina Komninou, Νikolaos Raikos, Kosmas I. Christoulas, Georgios A. Theodoridis, Vassilis Mougios · 2017 · Metabolites
  70. The role of branched-chain amino acids and their downstream metabolites in mediating insulin resistance
    Abdualrahman Mohammed Abdualkader, Qutuba G. Karwi, Gary D. Lopaschuk, Rami Al Batran · 2024 · Journal of Pharmacy & Pharmaceutical Sciences
  71. Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes
    Jielin Song, Chuanfu Wang, Tong Zhao, Yu Zhang, Jixiang Xing, Xuelian Zhao, Yunsha Zhang, Zhaohui Zhang · 2025 · Frontiers in Endocrinology
  72. Dietary Patterns among Asian Indians Living in the United States Have Distinct Metabolomic Profiles That Are Associated with Cardiometabolic Risk
    Shilpa N Bhupathiraju, Marta Guasch‐Ferré, Meghana D. Gadgil, Christopher B. Newgard, James Ralph Bain, Michael J. Muehlbauer, Olga Ilkayeva, Denise M. Scholtens, Frank B. Hu, Alka M. Kanaya et al. · 2018 · Journal of Nutrition
  73. The Differences of Serum Metabolites Between Patients With Early-Stage Alzheimer's Disease and Mild Cognitive Impairment
    Wei‐Chieh Weng, Wen‐Yi Huang, Hsiang-Yu Tang, Mei‐Ling Cheng, Kuan‐Hsing Chen · 2019 · Frontiers in Neurology
  74. Obesity Connected Metabolic Changes in Type 2 Diabetic Patients Treated With Metformin
    Shereen M. Aleidi, Lina A. Dahabiyeh, Xinyun Gu, Mohammed Al Dubayee, Awad Saad Alshahrani, Hicham Benabdelkamel, Muhammad Hussain Mujammami, Liang Li, Ahmad Aljada, Anas M. Abdel Rahman · 2021 · Frontiers in Pharmacology
  75. Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women
    Hemi Luan, Nan Meng, Ping Liu, Jin Fu, Xiaomin Chen, Weiqiao Rao, Hui Jiang, Xun Xu, Zongwei Cai, Jun Wang · 2015 · GigaScience
  76. Global Metabolomic Profiling Reveals an Association of Metal Fume Exposure and Plasma Unsaturated Fatty Acids
    Yongyue Wei, Zhao‐Xi Wang, Chiung-yu Chang, Tianteng Fan, Li Su, Feng Chen, David C. Christiani · 2013 · PLoS ONE
  77. Data analytics identify glycated haemoglobin co-markers for type 2 diabetes mellitus diagnosis
    Herbert Franz Jelinek, Andrew Stranieri, Andrew Yatsko, Sitalakshmi Venkatraman · 2016 · Computers in Biology and Medicine
  78. Characterization of Bulk Phosphatidylcholine Compositions in Human Plasma Using Side-Chain Resolving Lipidomics
    Jan D. Quell, Werner Römisch‐Margl, Mark Haid, Jan Krumsiek, Thomas Skurk, Anna Halama, Nisha Stephan, Jerzy Adamski, Hans Hauner, Dennis Owen Mook-Kanamori et al. · 2019 · Metabolites
  79. The significant role of carnitine and fatty acids during pregnancy, lactation and perinatal period. Nutritional support in specific groups of pregnant women
    Penelope D. Manta-Vogli, Kleopatra H. Schulpis, Yannis Dotsikas, Yannis L. Loukas · 2019 · Clinical Nutrition
  80. Pre-diagnostic biomarkers of type 2 diabetes identified in the UAE’s obese national population using targeted metabolomics
    Asma Fikri, Rosemary Smyth, Vijay Kumar, Zainab Al-Abadla, Salahedeen Abusnana, Michael R. Munday · 2020 · Scientific Reports
  81. Metabolomics analysis reveals altered metabolites in lean compared with obese adolescents and additional metabolic shifts associated with hyperinsulinaemia and insulin resistance in obese adolescents: a cross-sectional study
    Elisabeth Müllner, Hanna Eriksson Röhnisch, Claudia von Brömssen, Ali Ata Moazzami · 2021 · Metabolomics
  82. The Role of Astaxanthin on Chronic Diseases
    Xueqi Zhang, Yachen Hou, Jingan Li, Jianfeng Wang · 2021 · Crystals
  83. LC/MS-Based Untargeted Metabolomics Analysis in Women with Morbid Obesity and Associated Type 2 Diabetes Mellitus
    Teresa Auguet, Laia Bertran, Jordi Capellades, Sònia Abelló, Carmen Aguilar, Fàtima Sabench, Daniel Del Castillo, Xavier Correig, Óscar Yanes, Cristóbal Richart · 2023 · International Journal of Molecular Sciences
  84. Metabonomic study of biochemical changes in urinary of type 2 diabetes mellitus patients after the treatment of sulfonylurea antidiabetic drugs based on ultra‐performance liquid chromatography/mass spectrometry
    Taoguang Huo, Zhili Xiong, Xiumei Lu, Shuang Cai · 2014 · Biomedical Chromatography
  85. Pathway mapping and development of disease‐specific biomarkers: protein‐based network biomarkers
    Hao Chen, Zhitu Zhu, Yichun Zhu, Jian Wang, Yunqing Mei, Yunfeng Cheng · 2015 · Journal of Cellular and Molecular Medicine
  86. Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies
    Andrea Ganna, Donghwan Lee, Erik Ingelsson, Yudi Pawitan Y · 2014 · Briefings in Bioinformatics
  87. Correction to: The discovery of novel predictive biomarkers and early-stage pathophysiology for the transition from gestational diabetes to type 2 diabetes
    Saifur Rahman Khan, Haneesha Mohan, Ying Liu, Battsetseg Batchuluun, Himaben Gohil, Dana Al Rijjal, Yousef M. Manialawy, Brian Cox, Erica P. Gunderson, Michael B. Wheeler · 2019 · Diabetologia
  88. Gut-muscle axis mechanism of exercise prevention of sarcopenia
    Tao Li, Danyang Yin, Rengfei Shi · 2024 · Frontiers in Nutrition
  89. Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults
    Fen Wu, Liang Chi, Hongyu Ru, Faruque Parvez, Vesna N. Slavkovich, Mahbubul Eunus, Alauddin Ahmed, Tariqul Islam, Muhammad Rakibuz‐Zaman, Rabiul Hasan et al. · 2018 · Environmental Health Perspectives
  90. Fasting serum amino acids concentration is associated with insulin resistance and pro-inflammatory cytokines
    Sang‐Guk Lee, Ye-Seal Yim, Yong‐ho Lee, Byung‐Wan Lee, Hyon-Suk Kim, Kyung‐Sup Kim, Yong-Wha Lee, Jeong‐Ho Kim · 2018 · Diabetes Research and Clinical Practice
  91. Metabolite changes in risk of type 2 diabetes mellitus in cohort studies: A systematic review and meta-analysis
    Jeong-Eun Park, Hye Rin Lim, Jun Woo Kim, Kwang‐Hee Shin · 2018 · Diabetes Research and Clinical Practice
  92. Association between plasma essential amino acids and atherogenic lipid profile in a Chinese population: A cross-sectional study
    Fenghua Wang, Jing Liu, Qiuju Deng, Yue Qi, Miao Wang, Ying Wang, Xingguang Zhang, Dong Hui Zhao · 2019 · Atherosclerosis
  93. Exploiting the mediating role of the metabolome to unravel transcript-to-phenotype associations
    C. Auwerx, M. Sadler, Tristan Woh, A. Reymond, Z. Kutalik, E. Porcu · 2022 · bioRxiv
  94. La proteómica y la metabolómica: los mecanismos de la enfermedad cardiovascular y el descubrimiento de biomarcadores
    Javier Barallobre‐Barreiro, Yuen‐Li Chung, Manuel Mayr · 2013 · Revista Española de Cardiología
  95. Decision models of prediabetes populations: A systematic review
    Leal, Jose, Morrow, Liam Mc, Khurshid, Waqar, Pagano, Eva, Feenstra, Talitha · 2019 · Diabetes, Obesity and Metabolism
  96. Plasma Lipidomic n-6 Polyunsaturated Fatty Acids and Type 2 Diabetes Risk in the EPIC-Potsdam Prospective Cohort Study
    Marcela Prada, Fabian Eichelmann, Clemens Wittenbecher, Olga Kuxhaus, Matthias Bernd Schulze · 2023 · Diabetes Care
  97. Diagnosing Impaired Glucose Tolerance Using Direct Infusion Mass Spectrometry of Blood Plasma
    Petr G. Lokhov, Oxana P. Trifonova, Dmitry L. Maslov, Elena E. Balashova, Alexander I. Archakov, Ekaterina Alekseevna Shestakova, Marina Vladimirovna Shestakova, Ivan Ivanovich Dedov · 2014 · PLoS ONE
  98. Analytical Lipidomics in Metabolic and Clinical Research
    Tuulia Hyötyläinen, Matej Orešič · 2015 · Trends in Endocrinology and Metabolism
  99. Plasma Metabolomics to Identify and Stratify Patients With Impaired Glucose Tolerance
    Charlotte Wildberg, Annette Masuch, Kathrin Budde, Gabi Kastenmüller, Anna Artati, Wolfgang Rathmann, Jerzy Adamski, Thomas Kocher, Henry Völzke, Matthias A. Nauck et al. · 2019 · The Journal of Clinical Endocrinology & Metabolism
  100. A Unified Conceptual Framework for Metabolic Phenotyping in Diagnosis and Prognosis
    Jeremy Ramsey Everett, Elaine C. Holmes, Kirill Veselkov, John C. Lindon, Jeremy Kirk Nicholson · 2019 · Trends in Pharmacological Sciences