Publications

Research Publications

This is an area dedicated to the listing of all  publications related to the TAXINOMISIS project.

  1. Michalis D. Mantzaris, Vassiliki T. Potsika, Panagiotis K. Siogkas, Ioannis G. Pappas, Themis P. Exarchos, Igor B. Koncar, Jaroslav Pelisek, Evangelos Andreakos, & Dimitrios I. Fotiadis. (2019, June 20). Computational modeling and big data approaches for the stratification of carotid artery disease. https://doi.org/10.5281/zenodo.3250574
  2. Vassiliki T. Potsika, Michalis D. Mantzaris, Panagiotis K. Siogkas, Ioannis G. Pappas, Themis P. Exarchos, & Dimitrios I. Fotiadis. (2019, June 20). NUMERICAL PLAQUE PROGRESSION IN CAROTID ARTERY DISEASE: A MULTILEVEL APPROACH. https://doi.org/10.5281/zenodo.3250568
  3. Djorovic, S., Saveljic, I., Filipovic, N. (2020). Numerical Analysis of Plaque Progression in 3D Patient Specific Model of Carotid Artery. In: Badnjevic, A., Škrbić, R., Gurbeta Pokvić, L. (eds) CMBEBIH 2019. CMBEBIH 2019. IFMBE Proceedings, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-17971-7_52
  4. Mishra, P., Lyytikäinen, L.-P., Kähönen, M., Raitakari, O., Laaksonen, R., & Lehtimäki, T. (2018). Ceramides improve accuracy in prediction of preclinical atherosclerosis. Zenodo. https://doi.org/10.5281/zenodo.3250838
  5. Mishra, P., Lyytikäinen, L.-P., Hamal Mishra, B., Kähönen, M., Raitakari, O., Laaksonen, R., & Lehtimäki, T. (2019). Lipidome improves predictive ability of subclinical atherosclerosis over traditional risk factors: The Cardiovascular Risk in Young Finns Study. Zenodo. https://doi.org/10.5281/zenodo.3250843
  6. Djorovic Smiljana, Saveljic Igor, & Filipovic Nenad. (2019, June 23). Three-dimensional numerical analysis of atherosclerosis development within carotid artery. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Chicago, USA. https://doi.org/10.5281/zenodo.3253177
  7. Djorovic Smiljana, Saveljic Igor, & Filipovic Nenad. (2019, June 23). Analysis of the carotid artery and atherosclerotic plaque growth using the patient-specific parameters. 68th International congress of the European Society of CardioVascular and Endoascular Surgery (ESCVS), Groningen, the Netherlands. https://doi.org/10.5281/zenodo.3253179
  8. Djorovic Smiljana, Saveljic Igor, & Filipovic Nenad. (2019, June 23). Computational modelling of carotid artery and simulation of plaque progression. 7th International Congress of Serbian Society of Mechanics (SSM), Sremski Karlovci, Serbia. https://doi.org/10.5281/zenodo.3253189
  9. Djorovic Smiljana, Saveljic Igor, & Filipovic Nenad. (2019, June 23). Carotid atherosclerosis disease: modelling and analysis of plaque development. 25th Congress of the European Society of Biomechanics - ESBiomech Conference 2019 (ESB), Vienna, Austria. https://doi.org/10.5281/zenodo.3253205
  10. Taipale, T., Seppälä, I., Raitoharju, E. et al. Fatty liver is associated with blood pathways of inflammatory response, immune system activation and prothrombotic state in Young Finns Study. Sci Rep 8, 10358 (2018). https://doi.org/10.1038/s41598-018-28563-y
  11. S. Djorovic, I. Saveljic, N. Filipovic, Computational Simulation of Carotid Artery: From Patient-Specific Images to Finite Element Analysis, Journal of the Serbian Society for Computational Mechanics / Vol. 13 / No. 1, 2019 / pp 120-129
  12. Michalis Mantzaris, Vassiliki Potsika, Panagiotis Siogkas, Vassiliki Kigka, Vasileios Pezoulas, Ioannis Pappas, Themis Exarchos, Igor Koncar, Jaroslav Pelisek, Evangelos Andreakos, & Dimitrios I. Fotiadis. (2020, December 30). A multimodal advanced approach for the stratification of carotid artery disease. Zenodo. https://doi.org/10.5281/zenodo.4400031
  13. Vassilis D. Tsakanikas, Panagiotis K. Siogkas, Michalis D. Mantzaris, Vassiliki T. Potsika, Vassiliki I. Kigka, Themis P. Exarchos, Igor B. Koncar, Marija Jovanović, Aleksandra Vujčić, Stefan Dučić, Jaroslav Pelisek, & Dimitrios I. Fotiadis. (2020). A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society (EMBC 2020), Montreal. https://doi.org/10.5281/zenodo.3968549
  14. Tijana Djukic, Branko Arsic, Smiljana Djorovic, Igor Koncar, & Nenad Filipovic. (2020, November 5). Validation of the machine learning approach for 3D reconstruction of carotid artery from ultrasound imaging. https://doi.org/10.5281/zenodo.4563909
  15. Tijana Djukic, Branko Arsic, Igor Koncar, & Nenad Filipovic. (2020, October 30). 3D reconstruction of patient-specific carotid artery geometry using clinical ultrasound imaging. https://doi.org/10.5281/zenodo.4563917
  16. Branko Arsic, Smiljana Djorovic, Milos Anic, Igor Saveljic, Igor Koncar, & Nenad Filipovic. (2020). Analysis of carotid plaque type based on deep learning techniques. Zenodo. https://doi.org/10.5281/zenodo.4562420
  17. Depuydt, M. A., Prange, K. H., Slenders, L., Örd, T., Elbersen, D., Boltjes, A., … Pasterkamp, G. (2020). Microanatomy of the Human Atherosclerotic Plaque by Single-Cell   Transcriptomics.                                                         Circulation Research. doi:10.1161/circresaha.120.316770
  18. Pleouras Dimitrios, Mantzaris Michalis, Siogkas Panagiotis, Tsakanikas Vasilis, Potsika Vasiliki, Sakellarios Antonis, Dimos Sokratis, Sigala Fragiska, Koncar Igor, Tomasevic Smiljana, Djuskic Tijana, Filipovic Nenad, & Fotiadis Dimitrios. (2022, August 27). Investigation of the effect of atherosclerotic plaque location on the progression of luminal stenosis in carotids. https://doi.org/10.5281/zenodo.7064478
  19. Pleouras Dimitrios, Mantzaris Michalis, Siogkas Panagiotis, Tsakanikas Vasilis, Potsika Vassiliki, Sakellarios Antonis, Tsompou Panagiota, Sigala Fragiska, & Fotiadis Dimitrios. (2022, July 13). Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society. https://doi.org/10.5281/zenodo.7064421
  20. Dašić, Lazar; Radovanović, Nikola; Šušteršič, Tijana; Blagojević, Anđela; Benolić, Leo; and Filipović, Nenad, Patch-based Convolutional Neural Network for Atherosclerotic Carotid Plaque Semantic Segmentation, Published in: IPSI Bgd TIR (Volume: 18), Number: 1, ISSN: 1820 – 4503
  21. Radovanović Nikola, Dašić Lazar, Blagojević Anđela, Šušteršič Tijana, Filipović Nenad, Carotid Artery Segmentation Using Convolutional Neural Network in Ultrasound Images, IPSI Transactions on Internet Research
  22. Blagojević, A., Šušteršič, T., Filipović, N. Simulation of Atherosclerotic Plaque Development using Agent-based Modelling, Proceedings of the 11th International Conference on Information Society and Technology
  23. Arsić, B., Djorovic, S., Anić, M., Saveljić, I., Končar, I., Filipović, N. Application of deep learning techniques for segmentation of atherosclerotic carotid arteries by using ultrasound images. Proceedings of the 11th International Conference on Information Society and Technology
  24. Timmerman, N., Waissi, F., Dekker, M. et al. Ceramides and phospholipids in plasma extracellular vesicles are associated with high risk of major cardiovascular events after carotid endarterectomy. Sci Rep 12, 5521 (2022). https://doi.org/10.1038/s41598-022-09225-6
  25. Nathalie Timmerman; Dominique P.V. de Kleijn; Gert J. de Borst; Hester M. den Ruijter; Folkert W. Asselbergs; Folkert W. Asselbergs; Gerard Pasterkamp; S. Haitjema; Sander W. van der Laan. Family history and polygenic risk of cardiovascular disease: independent factors associated with secondary cardiovascular events in patients undergoing carotid endarterectomy. Atherosclerosis. https://doi.org/10.1101/19006718
  26. Timmerman N, Waissi F, Dekker M, van de Pol QY, van Bennekom J, Schoneveld A, Klein Avink MJM, de Winter RJ, Pasterkamp G, de Borst GJ, de Kleijn DPV. Pre-Operative Plasma Extracellular Vesicle Proteins are Associated with a High Risk of Long Term Secondary Major Cardiovascular Events in Patients Undergoing Carotid Endarterectomy. European journal of vascular and endovascular surgery, volume 62, issue 5, P705-715, November 2021
  27. Timmerman, N., Galyfos, G., Sigala, F., Thanopoulou, K., de Borst, G. J., … Davidovic, L. (2020). The TAXINOMISIS Project: A multidisciplinary approach for the development of a new risk stratification model for patients with asymptomatic carotid artery stenosis. European Journal of Clinical Investigation, 50(12). doi:10.1111/eci.13411
  28. Smiljana Tomasevic, Branko Arsic, Milos Anic, Branko Gakovic, Igor Koncar, & Nenad Filipovic. (2022, June 23). Atherosclerotic Plaque Characterization Using Deep Learning Methods. https://doi.org/10.5281/zenodo.7108702
  29. Andjela Blagojevic, Tijana Sustersic, & Nenad Filipovic. (2022, April 11). AGENT-BASED MODEL AND SIMULATION OF ATHEROSCLEROTIC PLAQUE PROGRESSION. https://doi.org/10.5281/zenodo.7108608
  30. Jovana Nikolic, & Nenad Filipovic. (2022, May 20). 3D Reconstruction of Patient-Specific Carotid Artery Geometry From 2d Ultrasound Images. https://doi.org/10.5281/zenodo.7108683
  31. Branko Arsic, Smiljana Djorovic, Milos Anic, Igor Saveljic, Igor Koncar, & Nenad Filipovic. (2021). Deep learning methods for plaque type classification based on the us images of carotid artery. Zenodo. https://doi.org/10.5281/zenodo.7108587
  32. Milos Anic, Tijana Djukic, Branko Gakovic, Branko Arsic, & Nenad Filipovic. (2022, May 20). Improved three-dimensional reconstruction of patient-specific carotid bifurcation using deep learning based segmentation of ultrasound images. https://doi.org/10.5281/zenodo.7108651
  33. Tijana Djukic, Branko Arsic, Smiljana Tomasevic, Branko Gakovic, Igor Koncar, & Nenad Filipovic. (2021, July 29). Automatic segmentation and 3D reconstruction of plaque components in carotid artery from ultrasound images. https://doi.org/10.5281/zenodo.7108549
  34. Nikola Radovanovic, Lazar Dasic, & Nenad Filipovic. (2022, May 20). SeGnet architecture based model for carotid artery segmentation. https://doi.org/10.5281/zenodo.7108673
  35. Branko Arsic, Smiljana Djorovic, Milos Anic, Branko Gakovic, Igor Koncar, & Nenad Filipovic. (2021, June 28). Analysis of atherosclerotic plaque in carotid arteries by using convolutional neural networks. https://doi.org/10.5281/zenodo.7108523
  36. Branko Arsic, Smiljana Djorovic, Milos Anic, Igor Koncar, & Nenad Filipovic. (2021). Processing of ultrasound images by using convolutional neural networks for carotid artery detection and segmentation. Zenodo. https://doi.org/10.5281/zenodo.7108591
  37. Branko Arsic, Smiljana Djorovic, Milos Anic, Igor Koncar, & Nenad Filipovic. (2021). Processing of ultrasound images by using convolutional neural networks for carotid artery detection and segmentation. Zenodo. https://doi.org/10.5281/zenodo.7108591
  38. Kigka, Vassiliki I., Vassiliki Potsika, Michalis Mantzaris, Vassilis Tsakanikas, Igor Koncar, and Dimitrios I. Fotiadis. 2021. "Serum Biomarkers in Carotid Artery Disease" Diagnostics 11, no. 11: 2143. https://doi.org/10.3390/diagnostics11112143
  39. Vassiliki I. Kigka, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Vassiliki T. Potsika, Igor Koncar, & Dimitrios I. Fotiadis. (2022, September 24). Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning. https://doi.org/10.5281/zenodo.7110135
  40. Filipovic, N., Blagojevic, A., Tomasevic, S., Arsic, B., & Djukic, T. (2022, September 6). Coupling Agent Based Method and Computational Fluid Dynamics for Plaque Development in the Carotid Artery. Virtual Physiological Human Conference (VPH), Porto, Portugal. https://doi.org/10.5281/zenodo.10573264
  41. Dašić, L., Blagojević, A., Šušteršič, T., & Filipović, N. (2022, September 27). Comparison Between Patch-based and Whole Image Atherosclerotic Carotid Plaque Multiclass Image Segmentation using Convolutional Neural Networks. EEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece. https://doi.org/10.5281/zenodo.10573365
  42. N. Filipovic, S. Tomasevic, A. Blagojevic, B. Arsic, M. Anic and T. Djukic, Modeling of Plaque Progression in the Carotid Artery Using Coupled Agent Based with Finite Element Method,  2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
  43. Djukic, T., Tomasevic, S., Arsic, B., Gakovic, B., & Filipovic, N. (2023, January 16). Integrating deep learning and meshing techniques to perform 3D reconstruction of patient-specific carotid bifurcation with plaque classification. EEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Ioannina, Greece. https://doi.org/10.5281/zenodo.10518163
  44. Dašić, L., Pavić, O., Blagojević, A., Geroski, T., Filipović, N. (2024). Convolutional Neural Network for Atherosclerotic Plaque Multiclass Semantic Image Segmentation in Transverse Ultrasound Images of Carotid Artery. In: Trajanovic, M., Filipovic, N., Zdravkovic, M. (eds) Disruptive Information Technologies for a Smart Society. ICIST 2023. Lecture Notes in Networks and Systems, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-031-50755-7_10
  45. Filipovic, N., Tomasevic, S., Arsic, B., Anic, M., Djukic, T., & Koncar, I. (2024, February 28). Agent Based with Finite Element Method for Plaque Progression in the Carotid Artery. 24th International Conference on Digital Signal Processing (DSP), Rhodes, Greece. https://doi.org/10.1109/DSP58604.2023.10167917
  46. Tomasevic, S., Djukic, T., Arsic, B., Anic, M., Blagojevic, A., Gakovic, B., Koncar, I., & Filipovic, N. (2024, January 16). 3D modeling of carotid artery and plaque progression using coupled agent based and finite element methods. 28th Congress of the European Society of Biomechanics (ESB), Maastricht, the Netherlands. https://doi.org/10.5281/zenodo.10519182
  47. Tomasevic, S., Djukic, T., Arsic, B., Anic, M., Blagojevic, A., Gakovic, B., Koncar, I., & Filipovic, N. (2023, September 20). Combining deep learning and meshing techniques for automatic segmentation and 3D reconstruction of atherosclerotic carotid arteries. 10th International Conference on Computational Bioengineering (ICCB), Vienna, Austria. https://doi.org/10.5281/zenodo.10519332
  48. Djukic, T., Anic, M., Gakovic, B., Tomasevic, S., Arsic, B., Koncar, I., & Filipovic, N. (2023, May 19). Simulation of blood flow through a patient-specific carotid bifurcation reconstructed using deep learning based segmentation of ultrasound images. Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia. https://doi.org/10.5281/zenodo.10519018
  49. Branko Arsic, Smiljana Tomasevic, Milos Anic, Branko Gakovic, Igor Koncar, Nenad Filipovic, Atherosclerotic Plaque Characterization Using Deep Learning Methods, Aorta (Stamford) 2022; 10(S 01): A1-A56 DOI: 10.1055/s-0042-1750994
  50. Nenad Filipovic, Andjela Blagojevic, Smiljana Tomasevic, Branko Arsic, Tijana Djukic, Agent Based and Finite Element Method for Plaque Development in the Carotid Artery, Aorta (Stamford) 2022; 10(S 01): A1-A56
    DOI: 10.1055/s-0042-1750984
  51. Tomasevic, S., Anic, M., Arsic, B., Gakovic, B., Filipovic, N., & Djukic, T. (2024). Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from Ultrasound imaging. Technology and Health Care. https://doi.org/10.5281/zenodo.10693578
  52. Siogkas, P., Pleouras, D., Tsakanikas, V., Mantzaris, M., Potsika, V., Sakellarios, A., Charalampopoulos, G., Galyfos, G., Sigala, F., & Fotiadis, D. (2023, July). Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (EMBC), Sydney, Australia. https://doi.org/10.5281/zenodo.10720539
  53. Siogkas, P., Pleouras, D., Tsakanikas, V., Potsika, V., Tsiouris, K., Sakellarios, A., Karamouzi, E., Lagiou, F., Charalampopoulos, G., Galyfos, G., Sigala, F., Koncar, I., & Fotiadis, D. (2024, February 28). A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (EMBC), Sydney, Australia. https://doi.org/10.5281/zenodo.10720598
  54. Pleouras, D., Siogkas, P., Tsakanikas, V., Mantzaris, M., Potsika, V., Sakellarios, A., Sigala, F., & Fotiadis, D. (2023, July). Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulations: A comparative study. 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia. https://doi.org/10.5281/zenodo.10720649
  55. Tsakanikas, V., Siogkas, P., Potsika, V., Sakellarios, A., Kigka, V., Exarchos, T., Koncar, I., & Fotiadis, D. (2024, February 28). TAXINOMISIS: A cloud – based platform for risk profiling and patient specific management of the carotid artery disease. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Australia. https://doi.org/10.5281/zenodo.10723046
  56. Kigka, V., Sakellarios, A., Tsakanikas, V., Potsika, V., Koncar, I., & Fotiadis, D. (2024, February 28). Early Diagnosis of Carotid Artery Disease based on non-imaging data. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Conference, Malta. https://doi.org/10.5281/zenodo.10724763
  57. Anic, Milos; Arsic, Branko; Djukic, Tijana; Tomasevic, Smijana; Gakovic, Branko; Koncar, Igor; Filipovic, Nenad. Automatic segmentation and 3D reconstruction of patient-specific carotid artery by using ultrasound images. 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2023https://doi.org/10.5281/zenodo.10519119
  58. Filipovic N, Arsic B, Djukic T, Djorovic S. Carotid Plaque Segmentation, Classification, 3D Reconstruction and Risk Stratification Using Ultrasound Images. Conference paper.
  59. Blagojević A, Šušteršič T, Filipović N. Simulation of Atherosclerotic Plaque Development using Agent-based Modelling. Conference paper.
  60. Wiederkehr, R. S., Marchal, E., Forceville, T., Taher, A., Uribe, A. J., Zinoviev, K., Siouti, L., Choe, Y. J., Potsika, V. T., Andreakos, E., & Stakenborg, T. On-chip SNPs detection for stratification of patients with carotid artery disease. CYTOKINES 2023, 11th annual meeting (CYTOKINES) , Athens, Greece, 15-18 October 2023https://doi.org/10.5281/zenodo.10818061.
  61. Mokry M, Boltjes A, Slenders L, Bel-Bordes G, Cui K, Brouwer E, Mekke JM, Depuydt MAC, Timmerman N, Waissi F, Verwer MC, Turner AW, Khan MD, Hodonsky CJ, Benavente ED, Hartman RJG, van den Dungen NAM, Lansu N, Nagyova E, Prange KHM, Kovacic JC, Björkegren JLM, Pavlos E, Andreakos E, Schunkert H, Owens GK, Monaco C, Finn AV, Virmani R, Leeper NJ, de Winther MPJ, Kuiper J, de Borst GJ, Stroes ESG, Civelek M, de Kleijn DPV, den Ruijter HM, Asselbergs FW, van der Laan SW, Miller CL, Pasterkamp G. Transcriptomic-based clustering of human atherosclerotic plaques identifies subgroups with different underlying biology and clinical presentation. Nat Cardiovasc Res. 10.1038/s44161-022-00171-0
  62. Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Antonis I. Sakellarios, Vassiliki T. Potsika, George Galyfos, Fragiska Sigala, Smiljana Tomašević, Tijana Djukic, Nenad Filipovic, Igor Koncar, & Dimitrios I. Fotiadis. MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) , Ioannina, Greece, 27-30 September 2022. https://zenodo.org/records/7106854.
  63. Tsompou, P., Potsika, V., Petrovic, N., Pezoulas, V., Siogkas, P., Tsakanikas, V., Pleouras, D., Papafaklis, M., Nikopoulos, S., Sakellarios, A., & Fotiadis, D. Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) , Ioannina, Greece, 27-30 September 2022. https://zenodo.org/records/10812157.
  64. Michalis, M., Siogkas, P., Tsakanikas, V., Potsika, V., Pleouras, D., Sakellarios, N., Karagiannis, G., Galyfos, G., Sigala, F., Liasis, N., Jovanovic, M., Koncar, I. B., Kallmayer, M., & Fotiadis, D. Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis. 43rd Annual International Conference of theIEEE Engineering in Medicine & Biology Society 2021. https://zenodo.org/records/10819653.
  65. Vassiliki I. Kigka, Antonis I. Sakellarios, Michalis D. Mantzaris, Vassilis D. Tsakanikas, Vassiliki T. Potsika, Domenico Palombo, Fabrizio Montecucco and Dimitrios I. Fotiadis, A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. 43rd Annual International Conference of theIEEE Engineering in Medicine & Biology Society 2021. https://zenodo.org/records/10826348.
  66. Verwer MC, Waissi F, Mekke JM, Dekker M, Stroes ESG, de Borst GJ, Kroon J, Hazenberg CEVB, de Kleijn DPV. High lipoprotein(a) is associated with major adverse limb events after femoral artery endarterectomy. Atherosclerosis. 2022 May;349:196-203. 10.1016/j.atherosclerosis.2021.11.019.
  67. Mekke JM, Verwer MC, Stroes ESG, Kroon J, Timmers L, Pasterkamp G, de Borst GJ, van der Laan SW, de Kleijn DPV. Plasma Lipoprotein Lipase Is Associated with Risk of Future Major Adverse Cardiovascular Events in Patients Following Carotid Endarterectomy. Eur J Vasc Endovasc Surg; 2023 May;65(5):700-709. 10.1016/j.ejvs.2023.01.035.
  68. Overmars LM, Mekke JM, van Solinge WW, De Jager SCA, Hulsbergen-Veelken CAR, Hoefer IE, de Kleijn DPV, de Borst GJ, van der Laan SW, Haitjema S. Characteristics of peripheral blood cells are independently related to major adverse cardiovascular events after carotid endarterectomy. Atheroscler Plus. 2023 Jun 1;52:32-40. 10.1016/j.athplu.2023.05.003.
  69. Mekke JM, Sakkers TR, Verwer MC, van den Dungen NAM, Song Y, Miller CL, Finn AV, Pasterkamp G, Mokry M, den Ruijter HM, Vink A, de Kleijn DPV, de Borst GJ, Haitjema S, van der Laan SW. The accumulation of erythrocytes quantified and visualized by Glycophorin C in carotid atherosclerotic plaque reflects intraplaque hemorrhage and pre-procedural neurological symptoms. Scientific reports. 2023 Oct 10;13(1):17104. 10.1038/s41598-023-43369-3.
  70. Pashupati  P. Mishra, Efficient gene set analysis of high-throughput data. From omics to pathway architecture of health and disease. Thesis/Dissertation. https://helda.helsinki.fi/items/024dc1aa-2a26-452f-be73-941b5990f185.
  71. Mishra, B. H., Mishra, P. P., Mononen, N., Hilvo, M., Sievänen, H., Juonala, M., ... & Lehtimäki, T. Lipidomic architecture shared by subclinical markers of osteoporosis and atherosclerosis: The Cardiovascular Risk in Young Finns Study. Bone. 2020 Feb:131:115160. doi: 10.1016/j.bone.2019.115160.
  72. Portilla-Fernández  E, Hwang SJ, Wilson R. et al. Meta-analysis of epigenome-wide association studies of carotid intima-media thickness. Eur J Epidemiol. 2021 Nov;36(11):1143-1155. doi: 10.1007/s10654-021-00759-z.
  73. Hurskainen  M, Tynkkynen J, Eskola M, Lehtimäki T, & Hernesniemi J. Risk Factors for Ischemic Stroke After Acute Coronary Syndrome. Journal of the American Heart Association. 2023;12:e028787. https://doi.org/10.1161/JAHA.122.028787.
  74. Mishra PP, Mishra BH, Lyytikäinen LP, Hilvo M, Juonala M, Kähönen M, Hutri-Kähönen N, Fotiadis DI, Raitakari OT, Laaksonen R, Lehtimäki T. Assessment of plasma ceramides as predictor for subclinical atherosclerosis. Atheroscler Plus. 2021 Oct 2;45:25-31. doi: 10.1016/j.athplu.2021.09.005. PMID: 36643994; PMCID: PMC9833256.
  75. Rinne, P., Guillamat-Prats, R., Rami, M., Bindila, L., Ring, L., Lyytikäinen, L. P., ... & Steffens, S. Palmitoylethanolamide promotes a proresolving macrophage phenotype and attenuates atherosclerotic plaque formation. Arteriosclerosis, Thrombosis, and Vascular Biology. 2018;38:2562–2575.
  76. Allen, N. B., Krefman, A. E., Labarthe, D., Greenland, P., Juonala, M., Kähönen, M., ... & Lloyd-Jones, D. M. Cardiovascular health trajectories from childhood through middle age and their association with subclinical atherosclerosis. JAMA Cardiol 2020 May 1;5(5):557-566. doi: 10.1001/jamacardio.2020.0140.
  77. Rinne, P., Lyytikäinen, LP., Raitoharju, E. et al. Pro-opiomelanocortin and its Processing Enzymes Associate with Plaque Stability in Human Atherosclerosis – Tampere Vascular Study. Sci Rep 8, 15078 (2018). https://doi.org/10.1038/s41598-018-33523-7.
  78. Binisha  H. Mishra, Pashupati P. Mishra, Nina Mononen, Mika Hilvo, Harri Sievänen, Markus Juonala, Marika Laaksonen, Nina Hutri-Kähönen, Jorma Viikari, Mika Kähönen, Olli T. Raitakari, Reijo Laaksonen, Terho Lehtimäk. Uncovering the shared lipidomic markers of subclinical osteoporosis-atherosclerosis comorbidity: The Young Finns Study.  Bone 2021 Oct:151:116030. doi: 10.1016/j.bone.2021.116030.
  79. Holvoet P, Klocke B, Vanhaverbeke M, Menten R, Sinnaeve P, Raitoharju E, Lehtimäki T, Oksala N, Zinser C, Janssens S, Sipido K, Lyytikainen LP, Cagnin S. RNA-sequencing reveals that STRN, ZNF484 and WNK1 add to the value of mitochondrial MT-COI and COX10 as markers of unstable coronary artery disease. PLoS One. 2019 Dec 10;14(12):e0225621. doi: 10.1371/journal.pone.0225621. PMID: 31821324; PMCID: PMC6903720.
  80. Patrakka , O., Tuomisto, S., Pienimäki, J. P., Ollikainen, J., Oksala, N., Lampinen, V., ... & Karhunen, P. J. Thrombus Aspirates From Patients With Acute Ischemic Stroke Are Infiltrated by Viridans Streptococci. Journal of the American Heart Association. 2023;12:e030639. https://doi.org/10.1161/JAHA.123.030639.
  81. Koskinen JS, Kytö V, Juonala M, Viikari JSA, Nevalainen J, Kähönen M, Lehtimäki T, Hutri-Kähönen N, Laitinen T, Tossavainen P, Jokinen E, Magnussen CG, Raitakari OT. Childhood risk factors and carotid atherosclerotic plaque in adulthood: The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2020 Jan;293:18-25. doi: 10.1016/j.atherosclerosis.2019.11.029. Epub 2019 Nov 30. PMID: 31830725.
  82. Traylor M, Amin Al Olama A, Lyytikäinen LP, Marini S, Chung J, Malik R, Dichgans M, Kähönen M, Lehtimäki T, Anderson CD, Raitakari OT, Markus HS. Influence of Genetic Variation in PDE3A on Endothelial Function and Stroke. Hypertension. 2020 Feb;75(2):365-371. doi: 10.1161/HYPERTENSIONAHA.119.13513. Epub 2019 Dec 23. PMID: 31865795; PMCID: PMC7055937.

Distinctions

  1. Virtual ESVS conference: Nathalie Timmerman received the 1st prize on the virtual ESVS conference for the presentation about the ceramides in the Taxinomisis project: “Ceramides are associated with high risk of major cardiovascular events after carotid endarterectomy”.
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This project has received funding from the
European Union’s Horizon 2020 Research and
Innovation Programme under grant agreement No
755320