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 601–700 of 702

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  8. Neue Biomarker und Gene in der Prädiktion des Typ-2-Diabetes
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  9. ‘Prognostic -Omic Clusters’ (POCs): A novel approach to health and disease
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  10. REVIEWS IN BASIC AND CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
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  11. Metabolic Fingerprints of Gestational Diabetes Mellitus
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  17. Mechanistic Insight of Innovative Biomarkers for Screening of Type II Diabetes Mellitus
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  19. ALTERATIONS OF LIPID LEVELS MAY INDUCE THE INSULIN RESISTANCE IN TYPE TWO DIABETES MELLITUS: A SYSTEMIC REVIEW
    DIVYA JYOTHI P, DOONDI PHANI KUMAR N, VINAY MOHAN A, RAMYA A · 2020 · Asian Journal of Pharmaceutical and Clinical Research
  20. Metabolomics and Other “-Omic” Approaches to Characterize Perioperative Trajectories
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  21. Applications of Computational Intelligence Techniques in Chemical and Biochemical Analysis
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  22. Despite similar clinical features metabolomics reveals distinct signatures in insulin resistant and progressively obese minipigs
    Imene Bousahba, Jérémie David, Florence Anne Castelli, Céline Chollet, Sadia Ouzia, François Fenaille, Didier Rémond, Nathalie Poupin, Sergio Polakof · 2022 · Journal of Physiology and Biochemistry
  23. Metabolomics of diabetes and cardiovascular disease
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  24. NMR-based Pharmacometabonomics: A New Approach to Personalized Medicine
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  25. Metabolomics: applications in type 2 diabetes mellitus and insulin resistance
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  26. Deriving Accurate Lipid Classification based on Molecular Formula
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  27. Serum Metabolites Associated with Brain Amyloid Beta Deposition, Cognitive Dysfunction, and Alzheimer’s Disease Progression
    Kwangsik T. Nho, Alexandra Kueider‐Paisley, Matthias Arnold, Siamak MahmoudianDehkordi, Shannon L. Risacher, Gregory Louie, Colette Blach, Rebecca Baillie, Xianlin Han, Gabi Kastenmueller et al. · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  28. Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts
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  29. Omics: Potential Role in Early-Phase Drug Development
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  30. Diagnostyka wybranych chorób cywilizacyjnych z wykorzystaniem badań metabolomicznych
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  31. Risk prediction models for cardiovascular disease and overall mortality
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  32. From a drop to the ocean: an immersion in individualized medicine
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  35. A systems biology approach for the study of smoking and myocardial infarction
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  36. Metabolomics analyses to better understand complex phenotypes
    Zhonghao Yu · 2013 · Elektronische Hochschulschriften der LMU München (Ludwig-Maximilians-Universität München)
  37. Sub-fenotipos de Diabetes y Metabolómica: ¿La clave para descubrir marcadores de laboratorio para una medicina personalizada?
    Rainer Lehmann · 2013 · Redalyc (Universidad Autónoma del Estado de México)
  38. Novel Metabolic Markers for the Risk of Diabetes Development in
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  39. Metabolomics and Cardiovascular Medicine
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  40. Together towards an early global detection of type 2 diabetes using a simplified metabolomics’ test
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  41. A Metabolomics Approach to Metabolic Diseases
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  42. Delineating a Metabolomic Signature for the Transition from Gestational Diabetes to Type 2 Diabetes
    Amina Allalou · 2015 · TSpace (University of Toronto)
  43. Special Issue: Systems Approach to Metabolic Disease
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  44. Towards a personalized assessment of pancreatic function in diabetes
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  45. Migração interna para São Paulo: relações com dieta e risco cardiovascular
    Antônio Augusto Ferreira Carioca · 2018
  46. Omics in Forensic Toxicology a Bridge Towards Forensic Medicine
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  47. Metabolomics and Molecular Imaging in the Post-genomic Era
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  48. CNS hormonal and nutritional regulation of glucose and energy homeostasis
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  49. Applications of Metabolic Phenotyping in Epidemiology
    Rui Climaco Pinto, İbrahim Karaman, Julia C. Fussell, Εvangelos Εvangelou, Frank J. Kelly, Paul Elliott, Ioanna Tzoulaki · 2018 · Elsevier eBooks
  50. Levels and Hierarchy in Complex Systems: What Gets Diabetes?
    David Clark Aron · 2019 · Springer eBooks
  51. Mitochondrial dysfunction of 3t3-l1 adipocytes induced by oligomycin and antimycin a
    Wan Najihah · 2015
  52. Advanced Metabolomics for Metabolic Syndrome/Metabolic Diseases
    Xiaowei Sun, Jiangjiang Zhu · 2019 · Elsevier eBooks
  53. Inflammation, Type 2 Diabetes, and Cancer: Identifying Biomarkers Associated with Colorectal Cancer and Type 2 Diabetes, and the Use of microRNA Molecules as a Therapeutic Use for Cancer Treatment
    Jenni Kimiko Guillen · 2020 · ScholarSpace (University of Hawaii at Manoa)
  54. Fasting Plasma Total Amino Acid Levels in Relation to Glucose Levels in Type 2 Diabetes Mellitus – A Study from Karnataka, India
    Mohammed Ali Musaraza K.S., Lata Telang, Kashinath Rattihalli Thirumalarao · 2021 · Journal of Evolution of Medical and Dental Sciences
  55. Branched-chain amino acids and trimethylamine N-oxide as biomarkers of cardiometabolic outcomes
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  56. Omics: Potential Role in Early Phase Drug Development
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  57. Bibliography
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  58. Altered Metabolome of Amino Acids Species: A Source of Signature Early Biomarkers of T2DM
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  59. Integrative analysis of host omics and microbiome data provides hints at common pathways and biomarkers for diabetes risk
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  60. Molecular Biomarkers: Overview, Technologies and Strategies
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  61. PHOSPHATIDYLCHOLINE AND PHOSPHATIDYLETHANOLAMINE LEVEL CHANGES IN DISEASES INFLUENCED BY LIFESTYLE: UNFOLDED WITH THE HELP OF MASS SPECTROMETRY
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  62. LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer
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  64. The link between the ANPEP gene and type 2 diabetes mellitus may be mediated by the disruption of glutathione metabolism and redox homeostasis
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  65. Blood metabolome profiling for patient stratification and assessment of disease severity among Asian Indian patients with Type 2 diabetes mellitus
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  66. Nutritional programming of white adipose tissue and mitochondrial function : Fat quality matters
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  67. Additional file 1 of 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, Yu, Shixiang, Makoto Harada, Ann‐Kristin Henning, Nele Friedrich, Martin Bahls et al. · 2023 · Figshare
  68. Metabolomics Signature in Prediabetes and Diabetes: Insights From Tandem Mass Spectrometry Analysis
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  69. Prevention, Diagnosis, and Understanding Mechanisms of Metabolic Diseases Using Systems Biology
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  70. Research progress of lysophosphatidylcholines in obesity-related metabolic diseases
    Ye HONG, Yan NI, JunFen FU · 2024 · Scientia Sinica Vitae
  71. Dried Blood Spot Lipidomics in Diabetes
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  72. Nuclear magnetic resonance combined with genetic algorithm with linear discriminant analysis (GA-LDA) is a suitable model for discriminating urinary metabolomic profiles of individuals with glycemic disorders
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  75. Additional file 5 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  76. Additional file 8 of 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, Olsen, Anja, Elin Thysell, Göran Hallmans, Ali Ata Moazzami · 2020 · Figshare
  77. Additional file 2 of Metabolic profiling of pre-gestational and gestational diabetes mellitus identifies novel predictors of pre-term delivery
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  78. Additional file 1 of Plasma lipidic fingerprint associated with type 2 diabetes in patients with coronary heart disease: CORDIOPREV study
    Alejandro Villasanta‐Gonzalez, Marina Mora-Ortiz, Juan Francisco Alcala-Diaz, Rivas-Garcia, Lorenzo, José David Torres Peña, Asuncion Lopez-Bascon, M. Calderón-Santiago, Antonio Pablo Arenas-Larriva, Feliciano Priego‐Capote, Marı́a M. Malagón et al. · 2024 · Figshare
  79. Additional file 1 of The association between dietary amino acid profile and the risk of type 2 diabetes: Ravansar non-communicable disease cohort study
    Farid Najafi, Parisa Mohseni, Yahya Pasdar, Mahdieh Niknam, Izadi, Neda · 2024 · Figshare
  80. Additional file 1 of Predictive value of circulating NMR metabolic biomarkers for type 2 diabetes risk in the UK Biobank study
    Fiona Bragg, Eirini Trichia, Aguilar-Ramirez, Diego, Jelena Bešević, Lewington, Sarah, Jonathan Emberson · 2022 · Figshare
  81. Additional file 1 of Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis
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  82. Additional file 9 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  83. Additional file 2 of Plasma lipidic fingerprint associated with type 2 diabetes in patients with coronary heart disease: CORDIOPREV study
    Alejandro Villasanta‐Gonzalez, Marina Mora-Ortiz, Juan Francisco Alcala-Diaz, Rivas-Garcia, Lorenzo, José David Torres Peña, Asuncion Lopez-Bascon, M. Calderón-Santiago, Antonio Pablo Arenas-Larriva, Feliciano Priego‐Capote, Marı́a M. Malagón et al. · 2024 · Figshare
  84. Additional file 1 of Dietary intakes of branched-chain amino acids and plasma lipid profiles among filipino women in Korea: the Filipino Women’s Diet and Health Study (FiLWHEL)
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  85. Additional file 1 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  86. Additional file 4 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  87. Additional file 6 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  88. Additional file 3 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  89. Additional file 10 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  90. Additional file 2 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Ali Ata Moazzami · 2020 · Figshare
  91. Additional file 7 of 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, Olsen, Anja, Elin Thysell, Hallmans, Göran, Moazzami, Ali A. · 2020 · Figshare
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  93. Clinical Metabolomics studies in diagnosing Prediabetes and Type 2 Diabetes: Unveiling Trends through Bibliometric Analysis
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