Lukasz Pawlinski

Dr. Lukasz Pawlinski

Department of Metabolic Diseases and diabetology, Uniwersity Hospital in Krakow, Poland
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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2020 in European journal of pain
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Journal Article
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LPLukasz Pawlinski
Lukasz Pawlinski
MKMagdalena Krawczyk
Magdalena Krawczyk
MFMateusz Fiema
Mateusz Fiema
ETEwa Tobor
Ewa Tobor
BKBeata Kieć-Wilk
Beata Kieć-Wilk

14 May 2020 in Journal of Clinical Pathology
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Journal Article
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LPLukasz Pawlinski
Lukasz Pawlinski
ETEwa Tobór
Ewa Tobór
MSMaciej Suski
Maciej Suski
MBMaria Biela
Maria Biela
APAnna Polus
Anna Polus
BKBeata Kieć-Wilk
Beata Kieć-Wilk
Aims The research work was conducted to find new biomarkers and potential drug targets in Gaucher disease type 1 (GDt1) by analysing the serum proteins. Methods This study was an observational, cross-sectional analysis of a group of 12 adult participants: six Gaucher disease (GD) patients and six healthy control. Fasting venous blood underwent proteomics analysis and molecular tests. Over 400 proteins were analysed, and in case of significantly different concentrations between the study and control group, we checked corresponding genes to confirm changes in their expression and consistency with protein alteration. Results We found 31 proteins that significantly differed in concentration between GDt1 patients and a control group. These were mostly proteins involved in the regulation of the inflammatory processes and haemostasis. The levels of proteins such as alpha-1-acid glycoprotein 2, S100-A8/A9, adenyl cyclase-associated protein 1, haptoglobin or translationally controlled tumour protein related to inflammation process were significantly higher in GD patients than in control group, whereas the levels of some proteins such as heavy constant mu and gamma 4 or complement C3/C4 complex involved in humoral response like immunoglobulins were significantly decreased in GD patients. Alteration in two proteins concentration was confirmed in RNA analysis. Conclusions The work revealed few new targets for further investigation which may be useful in clinical practice for diagnosis, treatment and monitoring GDt1 patients.

22 December 2020 in Life
Verified
Journal Article
Open access
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LPLukasz Pawlinski
Lukasz Pawlinski
APAnna Polus
Anna Polus
ETEwa Tobór
Ewa Tobór
MSMaria Sordyl
Maria Sordyl
MKMarianna Kopka
Marianna Kopka
BKBeata Kieć-Wilk
Beata Kieć-Wilk
Aims: The aim of the work was to establish potential biomarkers or drug targets by analysing changes in miRNA concentration among patients with Gaucher disease (GD) compared to in healthy subjects. Methods: This study was an observational, cross-sectional analysis of 30 adult participants: 10 controls and 20 adults with GD type 1. Patients with GD type 1 were treated with enzyme replacement therapy (ERT) for at least two years. The control group was composed of healthy volunteers, unrelated to the patients, adjusted with age, sex and body mass index (BMI). The miRNA alteration between these groups was examined. After obtaining preliminary results on a group of six GD patients by the high-output method (TaqMan low-density array (TLDA)), potential miRNAs were selected for confirming the results by using the qRT-PCR method. With Diane Tools, we analysed miRNAs of which differential expression is most significant and their potential role in GD pathophysiology. We also determined the essential pathways these miRNAs are involved in. Results: 266 dysregulated miRNAs were found among 753 tested. Seventy-eight miRNAs were downregulated, and 188 were upregulated. Thirty miRNAs were significantly altered; all of them were upregulated. The analysis of pathways regulated by the selected miRNAs showed an effect on bone development, inflammation or regulation of axonal transmission in association with Parkinson’s disease. Conclusions: We revealed few miRNAs, like miR-26-5p, which are highly altered and fit the GD pathophysiological model, might be considered as novel biomarkers of disease progression but need further evaluation.