Laboratory of Diagnosis and Therapy Support of Metabolic Diseases

Team:

Assoc. Prof. Piotr Foltyński, PhD, DSc - Head of the Lab

Prof. Piotr Ładyżyński, PhD, DSc
Assoc. Prof. Beata Toczyłowska, PhD, DSc
Maria Molik, PhD
Justyna Augustyniak
, PhD. Eng.
Janusz Krzymień
, MD. DSc.
Paulina Duda, MSc. Eng.

Selected current activity

  1. Study of the effect of high and low glucose concentrations on human endothelial cells cultured in a capillary bioreactor during a constant flow of culture medium.
  2. Development of new techniques for measuring wound surface area. The Planimator app for smartphones with Android system and previously AreaMe for smartphones with Windows Mobile 6.5 system were developed. The Planimator app can be provided free of charge for research purposes. Recently, the AutoPlanimator web service for automatic measurement of wound surface area using image segmentation with the use of machine learning methods was developed. 

Fig. 1. The output image from the AutoPlanimator (https://autoplanimator.ibib.waw.pl/) service for wound surface measurement. The wound in the image is outlined with a white line, while the scale is obtained from the analysis of calibration marks (1 mm between adjacent ticks).

  1. Analysis of NMR spectra of human body fluids and tissue extracts for metabolomic studies. Both hydrophilic and hydrophobic compounds are studied. Spectral analysis uses developed software and statistical analysis to identify biomarkers and study pathomechanisms of diseases. It can be used for differential diagnosis of diseases, early diagnosis, or screening tests. 

Fig. 3. Block diagram of the VoiceDiab system

Projects made in the Laboratory

  1. AutoPlanimator - Web service for automatic measurement of wound surface area based on wound photograph and calibration markers.
  2. VoiceDiab - Expert voice system for automatic calculation of meal-compensating insulin dose based on verbal description of meal.

Fig. 3. Block diagram of the VoiceDiab system

  1. 2. metaBiaL on-line simulator (http://bco.ibb.waw.pl/bio-med/metabial,407/) to compare the effectiveness of selected treatments for lymphocytic leukemia.
  2. NetBIAL database (http://bco.ibb.waw.pl/bio-med/netbial,72/) to monitor the treatment of patients with chronic lymphocytic leukemia. Launched as part of the BioCenter Ochota (http://bco.ibb.waw.pl/ ).
  3. Modelowe Centrum Leczenia Cukrzycy  (http://mclc.ibib.waw.pl) ) with the following modules: cardiology, diabetic foot, difficult diabetes, gestational diabetes, retinopathy and educational.
  4. ROTMED – Analysis of innovation profiles in the field of biomedical engineering in Poland (http://rotmed.ibib.waw.pl/content/project.html).
  5. TeleDiaFoS – Telematic system for monitoring diabetic foot syndrome patients treated on an outpatient basis.
  6. TeleMed – Telematic system to support the treatment of patients with newly diagnosed type I diabetes.

List of cooperation centers and institutions

  • Clinic of Diabetology, Medical University of Warsaw, Poland
  • Clinic of Hemato-oncology and Bone Marrow Transplantation, Medical University of Lublin, Poland
  • 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
  • Department of Neonatology and Neonatal Intensive Care, Medical University of Warsaw, Poland
  • Institute of Biochemistry and Biophysics, Polish Academy of Sciences
  • Mossakowski Medical Research Centre, Polish Academy of Sciences
  • I Department of Anaesthesiology and Intensive Care, Medical University of Warsaw, Warsaw, Poland
  • Departament of Neurology, Medical University of Warsaw, Warsaw, Poland
  • Cardiac Surgery Department, Medical University of Warsaw, Warsaw, Poland
  • Department of Vascular Surgery and Angiology, Medical University of Warsaw, Poland
  • Institute of Psychiatry and Neurology, Warsaw. Poland
  • Department of Neurology and Epileptology, Centre of Postgraduate Medical Education, Warsaw, Poland
  • National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
  • PODOS Wound Healing Clinic, Warsaw, Poland 

Selected publications

  1. Toczylowska B, Skowronska M, Kurkowska-Jastrzebska I, Ruszczynska A, Zieminska E. Serum metabolomics indicates ferroptosis in patients with pantothenate kinase associated neurodegeneration. Sci Rep. Mar 20 2025;15(1):9592. doi:10.1038/s41598-025-94838-w
  2. Toczylowska B, Kalinowski P, Kacka-Piotrowska A, Duda P, Grat M, Zieminska E. Metabolic Pattern of Brain Death-NMR-Based Metabolomics of Cerebrospinal Fluid. Int J Mol Sci. Mar 18 2025;26(6)doi:10.3390/ijms26062719
  3. Ladyzynski P, Ciechanowska A, Sabalinska S, Foltynski P , Wencel A, Wojciechowski C, Pluta K, Chwojnowski A. Modeling blood vessel dynamics: Effects of glucose variations on HUVECs in a hollow fiber bioreactor under laminar shear stress. Biocyb Biomed Eng, 2024;44(3):543–559; doi: 10.1016/j.bbe.2024.08.004.
  4. Struzynska L, Toczylowska B, Dabrowska-Bouta B, Zieminska E. Exposure of cerebellar granule cells to nanosilver: Oxidative stress parameters and the protective effect of exogenous glutathione. Folia Neuropathol. 2024;62(3):223-236. doi:10.5114/fn.2024.143561.
  5. Foltynski P, Ladyzynski P. Internet service for wound area measurement using digital planimetry with adaptive calibration and image segmentation with deep convolutional neural networks. Biocybernetics and Biomedical Engineering, 2023 43(1):17-29; doi: 10.1016/j.bbe.2022.11.004.
  6. Ladyzynski P, Molik M, Foltynski P. Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia. Sci Rep. 2022 Feb 2;12(1):1811. doi: 10.1038/s41598-022-05813-8.
  7. Foltynski P, Ladyzynski P. Digital Planimetry With a New Adaptive Calibration Procedure Results in Accurate and Precise Wound Area Measurement at Curved Surfaces. J Diabetes Sci Technol. 2022 Jan;16(1):128-136. doi: 10.1177/1932296820959346.
  8. Toczylowska B, Zieminska E, Podlecka-Pietowska A, Ruszczynska A, Chalimoniuk M. Serum metabolic profiles and metal levels of patients with multiple sclerosis and patients with neuromyelitis optica spectrum disorders – NMR spectroscopy and ICP-MS studies. Mult Scler Relat Disord. Feb 6 2022;60:103672. doi:10.1016/j.msard.2022.103672
  9. Toczylowska B, Zieminska E, Polowy R, Olszynski KH, Lazarewicz JW. NMR-Based Metabolomics of Rat Hippocampus, Serum, and Urine in Two Models of Autism. Mol Neurobiol. Sep 2022;59(9):5452-5475. doi:10.1007/s12035-022-02912-5.
  10. Foltynski P, Ciechanowska A, Ladyzynski P. Wound surface area measurement methods. Biocyber Biomed Eng, 2021;41:1454-1465. doi.org/10.1016/j.bbe.2021.04.011.
  11. Toczylowska B, Zieminska E, Senator P, Lazarewicz JW. Hippocampal Metabolite Profiles in Two Rat Models of Autism: NMR-Based Metabolomics StudiesMol Neurobiol. 2020;57(7):3089-3105. doi: 10.1007/s12035-020-01935-0.
  12. Toczylowska B, Zieminska E, Michalowska M, Chalimoniuk M, Fiszer U. Changes in the metabolic profiles of the serum and putamen in Parkinson’s disease patients – In vitro and in vivo NMR spectroscopy studies. Brain Res. Dec 1 2020;1748:147118. doi:10.1016/j.brainres.2020.147118
  13. Krzymien J and Ladyzynski P. Insulin in type 1 and type 2 diabetes—should the dose of insulin before a meal be based on glycemia or meal content? Nutrients, 2019;11(3):607.
  14. Ladyzynski P, Krzymien J, Foltynski P, Rachuta M, Bonalska B. Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes. Nutrients 2018;10:518. doi 10.3390/nu10040518.
  15. Foltynski P, Ladyzynski P, Pankowska E, Mazurczak K. Efficacy of automatic bolus calculator with automatic speech recognition in patients with type 1 diabetes: A randomized cross-over trial. J Diabetes 2018;10:600-608.doi 10.1111/1753-0407.12641.
  16. Foltynski P. Ways to increase precision and accuracy of wound area measurement using smart devices: Advanced app Planimator. PLOS ONE 2018;13:e0192485.
  17. (Autorzy wymienieni w kolejności alfabetycznej) Baczko T, Błażewicz S, Jasiński L, Kowalczyk M, Kowalewski T, Kędzior K, Ładyżyński P, Mączyńska E, Nowakowski A, Nowicki A, Rumiński J, Skalski K, Stodolak E, Tadeusiewicz R, Torbicz W, Wójcicki JM: System monitorowania i scenariusze rozwoju technologii medycznych w Polsce. Wójcicki J.M., Ładyżyński P. (red.), Konsorcjum ROTMED, Warszawa, 2008, 338 stron.