Catalina Cuparencu

Catalina Cuparencu

Postdoc


Publication year:
  1. 2022
  2. Published

    A comprehensive database for DNA adductomics

    La Barbera, Giorgia, Nommesen, K. D., Cuparencu, Catalina, Stanstrup, Jan & Dragsted, Lars Ove, 2022, In: Frontiers in Chemistry. 10, 11 p., 908572.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2021
  4. Published

    An untargeted urine metabolomics approach for autologous blood transfusion detection

    Bejder, Jacob, Gürdeniz, G., Cuparencu, Catalina, Hall, F., Gybel-Brask, M., B. Andersen, Andreas, Dragsted, Lars Ove, Secher, Niels H., Johansson, P. I. & Nordsborg, Nikolai Baastrup, 2021, In: Medicine and Science in Sports and Exercise. 53, 1, p. 236-243 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    The anserine to carnosine ratio: an excellent discriminator between white and red meats consumed by free-living overweight participants of the PREVIEW study

    Cuparencu, Catalina, Rinnan, Åsmund, Silvestre, M. P., Poppitt, S. D., Raben, Anne & Dragsted, Lars Ove, 2021, In: European Journal of Nutrition. 60, 1, p. 179-192 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2020
  7. Published

    Urine metabolome profiling reveals imprints of food heating processes after dietary intervention with differently cooked potatoes

    Zhou, X., Ulaszewska, M. M., Cuparencu, Catalina, De Gobba, Cristian, Vázquez-Manjarrez, N., Gürdeniz, G., Chen, J., Mattivi, F. & Dragsted, Lars Ove, 2020, In: Journal of Agricultural and Food Chemistry. 68, 22, p. 6122-6131 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 2019
  9. Published

    Biomarkers of Red Meat Intake: Are We There Yet? Applications of Untargeted Metabolomics in the Discovery and Validation of Biomarkers

    Cuparencu, Catalina, 2019, Copenhagen: Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen. 81 p.

    Research output: Book/ReportPh.D. thesisResearch

  10. Published

    Biomarkers of meat and seafood intake: an extensive literature review

    Cuparencu, Catalina, Praticó, G., Hemeryck, L. Y., Sri Harsha, P. S. C., Noerman, S., Rombouts, C., Xi, M., Vanhaecke, L., Hanhineva, K., Brennan, L. & Dragsted, Lars Ove, 2019, In: Genes & Nutrition. 14, 30 p., 35.

    Research output: Contribution to journalReviewResearchpeer-review

  11. Published

    Combined markers to assess meat intake - human metabolomic studies of discovery and validation

    Cuparencu, Catalina, Rinnan, Åsmund & Dragsted, Lars Ove, 2019, In: Molecular Nutrition & Food Research. 63, 17, 11 p., 1900106.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 2018
  13. Published

    A metabolomics approach to the identification of urinary biomarkers of pea intake

    Harsha, P. S. C. S., Wahab, R. A., Cuparencu, Catalina, Dragsted, Lars Ove & Brennan, L., 2018, In: Nutrients. 10, 12, 17 p., 1911.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    Sea buckthorn decreases and delays insulin response and improves glycaemic profile following a sucrose-containing berry meal: a randomised, controlled, crossover study of Danish sea buckthorn and strawberries in overweight and obese male subjects

    Mortensen, M. W., Spagner, C., Cuparencu, Catalina, Astrup, A., Raben, Anne & Dragsted, Lars Ove, 2018, In: European Journal of Nutrition. 57, 8, p. 2827-2837 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. 2016
  16. Published

    Identification of urinary biomarkers after consumption of sea buckthorn and strawberry, by untargeted LC-MS metabolomics: a meal study in adult men

    Cuparencu, Catalina, Andersen, M. S., Gürdeniz, G., Schou, S. S., Mortensen, M. W., Raben, Anne, Astrup, A. & Dragsted, Lars Ove, 2016, In: Metabolomics. 12, 2, 20 p., 31.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 84099863