Papers by Michal Markuszewski
Organohalogen compounds, 2000
Frontiers in Molecular Biosciences
Renal dysplasia is a severe congenital abnormality of the kidney parenchyma, which is an importan... more Renal dysplasia is a severe congenital abnormality of the kidney parenchyma, which is an important cause of end-stage renal failure in childhood and early adulthood. The diagnosis of renal dysplasia relies on prenatal or postnatal ultrasounds as children show no specific clinical symptoms before chronic kidney disease develops. Prompt diagnosis is important in terms of early introduction of nephroprotection therapy and improved long-term prognosis. Metabolomics was applied to study children with renal dysplasia to provide insight into the changes in biochemical pathways underlying its pathology and in search of early indicators for facilitated diagnosis. The studied cohort consisted of 72 children, 39 with dysplastic kidneys and 33 healthy controls. All subjects underwent comprehensive urine metabolic profiling with the use of gas chromatography and liquid chromatography coupled to mass spectrometry, with two complementary separation modes of the latter. Univariate and multivariate ...
Materials
Diatoms represent, in terms of species number, one of the largest groups of microalgae that have ... more Diatoms represent, in terms of species number, one of the largest groups of microalgae that have the ability to synthesize phenomenal mineral composites characterized by complex hierarchical structures. Their shells, called frustules, create intricately ornamented structures, reminiscent of the most sophisticated, natural mosaics. Ordinated pore systems perforate siliceous walls of the frustules with diameters ranging from nano to micro-scale, forming openwork three-dimensional silica structures. The use of these features is one of the main challenges in developing new technological solutions. In this study we assess the ability of selected diatom species (Pseudostaurosira trainorii) for metabolic insertion of soluble titanium from the culture medium into the structure of amorphous silica cell walls by its cultivation in laboratory conditions. The study is aimed at obtaining new and strengthening the already existing optical properties of diatomaceous biosilica. The physicochemical ...
Journal of Pharmaceutical and Biomedical Analysis, 2022
International Journal of Pharmaceutics, 2019
Could spray-dried microbeads with chitosan glutamate be considered as promising vaginal microbici... more Could spray-dried microbeads with chitosan glutamate be considered as promising vaginal microbicide carriers? The effect of process variables on the in vitro functional and physicochemical characteristics,
Chemia Analityczna, 2003
Quantitative structure-retention relationships (QSRRs) concern correlations between molecular str... more Quantitative structure-retention relationships (QSRRs) concern correlations between molecular structure parameters and chromatographic retention data of analytes. Of utmost importance are QSRRs describing reversed-phase high performance liquid chromatography (RP-HPLC) retention coefficients, and analyte lipophilicity expressed as the logarithm of n-octanol-water partition coefficient, log P. QSRR were used for studying retention properties of various types of stationary phase materials, like octadecyl-bonded silica (C 1 8 ), octyl-bonded silica (C 8 ), immobilized artificial membrane (IAM), α 1 -acid glycoprotein (α 1 -AGP), polybutadiene-coated alumina (PBCA) or porous graphitic carbon. Using QSRRs the hydrocarbonaceous stationary phase materials were classified with respect to the nature and strength of the prevailing intermolecular interactions in the separation system. The regression coefficients of the respective QSRR equations numerically characterize the RP-HPLC stationary ph...
Journal of pharmaceutical and biomedical analysis, 2009
Journal of Chromatography A, 2012
The purpose of this work was to develop a new aligning algorithm called supervised alignment and ... more The purpose of this work was to develop a new aligning algorithm called supervised alignment and to compare its performance with the correlation optimized warping. The supervised alignment is based on a "supervised" selection of a few common peaks presented on each chromatogram. The selected peaks are aligned based on a difference in the retention time of the selected analytes in the sample and the reference chromatogram. The retention times of the fragments between known peaks are subsequently linearly interpolated. The performance of the proposed algorithm has been tested on a series of simulated and experimental chromatograms. The simulated chromatograms comprised analytes with a systematic or random retention time shifts. The experimental chromatographic (RP-HPLC) data have been obtained during the analysis of nucleosides from 208 urine samples and consists of both the systematic and random displacements. All the data sets have been aligned using the correlation optimized warping and the supervised alignment. The time required to complete the alignment, the overall complexity of both algorithms, and its performance measured by the average correlation coefficients are compared to assess performance of tested methods. In the case of systematic shifts, both methods lead to the successful alignment. However, for random shifts, the correlation optimized warping in comparison to the supervised alignment requires more time (few hours versus few minutes) and the quality of the alignment described as correlation coefficient of the newly aligned matrix is worse 0.8593 versus 0.9629. For the experimental dataset supervised alignment successfully aligns 208 samples using 10 prior identified peaks. The knowledge about retention times of few analytes' in the data sets is necessary to perform the supervised alignment for both systematic and random shifts. The supervised alignment method is faster, more effective and simpler preprocessing method than the correlation optimized warping method and can be applied to the chromatographic and electrophoretic data sets.
Combinatorial Chemistry & High Throughput Screening, 2013
A new diagnostic and prognostic biomarker may be of value in the diagnostic panel, especially amo... more A new diagnostic and prognostic biomarker may be of value in the diagnostic panel, especially among cancer diseases. The aim of the study was to evaluate the osteopontin (OPN) level measurable in the tumour tissue in females with diagnosed breast cancer after mastectomy, and to confirm its suitability to serve as a prognostic biomarker of the cancer.The OPN tissue levels and the classical risk factors were determined in twelve females. Tissue samples were collected and analysed by the capillary gel electrophoresis technique after previous appropriate preparation of the samples. A comparison between the OPN average values in the tissue of healthy versus cancer patients after mastectomy was performed using statistical univariate tests (ANOVA, t-test) and multivariate analysis (principal component analysis, PCA). The results demonstrate that the median values of the OPN in the tumour centre cancer tissue (10.940 μg/g; within the range of 3.772-23.648) are significantly higher compared to healthy cells (5.173 μg/g; within the range of 0.838- 17.583). Moreover, the increased tissue OPN level was correlated with the cancer stage.In this study osteopontin is presented as a possible candidate for a breast cancer biomarker. Further research is needed to obtain information on cancer signalling by means of the OPN threshold, and indication of its advanced stage.
Combinatorial Chemistry & High Throughput Screening, 2013
Analytical Chemistry, 2004
pH gradient HPLC is reported, which is a new original mode of reversed-phase high-performance liq... more pH gradient HPLC is reported, which is a new original mode of reversed-phase high-performance liquid chromatography applicable to ionogenic analytes. The method consists of programmed increase during the chromatographic run of the eluting strength of the mobile phase with respect to the acid/base analytes separated. Unlike the well-established conventional gradient HPLC, where the eluting power of the mobile phase is increased with time due to the increasing content of organic modifier, in the pH gradient HPLC that is realized by linearly increasing (in the case of acids) or decreasing (in the case of bases) the pH of the eluent of a fixed organic modifier content, thus providing functional increase in the degree of analyte dissociation and, hence, a decrease in its retention. The pH gradient mode has typical features of gradient HPLC, such as reduced peak width and minimized peak-tailing due to peak compression, which is especially advantageous in the case of organic base analytes. It may be of special value for separation of those analytes which are susceptible to the higher concentrations of organic solvents, as many bioanalytes are. A theory of the pH gradient HPLC has been elaborated, and its full mathematical formalistic is presented step by step in a comprehensive manner. Although fundamental relationships at the basis of pH gradient HPLC are more complex than in the case of the organic gradient variant, the resulting mathematical model is easily manageable. Its applicability to predict changes in retention and separation of test mixtures of analytes accompanying the changes in chromatographic conditions has been demonstrated experimentally in both gradient and isocratic HPLC. The proposed model supplies a rational basis for modifications of eluent pH aimed at optimization of separations and for convenient assessment of chromatographically relevant physicochemical parameters of analytes, such as pK(a).
Handbook of Bioanalytics, 2020
Cancers, 2022
The incidence of bladder cancer (BCa) has remained high for many years. Nevertheless, its pathome... more The incidence of bladder cancer (BCa) has remained high for many years. Nevertheless, its pathomechanism has not yet been fully understood and is still being studied. Therefore, multiplatform untargeted urinary metabolomics analysis has been performed in order to study differences in the metabolic profiles of urine samples collected at three time points: before transurethral resection of bladder tumor (TURBT), the day after the procedure and two weeks after TURBT. Collected samples were analyzed with the use of high-performance liquid chromatography hyphenated with time-of-flight mass spectrometry detection (HPLC-TOF/MS) and gas chromatography coupled with triple quadrupole mass spectrometry detection (GC-QqQ/MS, in a scan mode). Levels of metabolites selected in our previous study were assessed in order to confirm their potential to differentiate the healthy and diseased samples, regardless of the risk factors and individual characteristics. Hippuric acid, pentanedioic acid and uri...
Metabolites, 2021
Gastrointestinal stromal tumour has already been well explored at the genome level; however, litt... more Gastrointestinal stromal tumour has already been well explored at the genome level; however, little is known about metabolic processes occurring in the sarcoma. Sample preparation is a crucial step in untargeted metabolomics workflow, highly affecting the metabolome coverage and the quality of the results. In this study, four liquid-liquid extraction methods for the isolation of endogenous compounds from gastrointestinal stromal tumours were compared and evaluated. The protocols covered two-step or stepwise extraction with methyl-tert-butyl ether (MTBE) or dichloromethane. The extracts were subjected to LC-MS analysis by the application of reversed-phase and hydrophilic interaction liquid chromatography to enable the separation and detection of both polar and nonpolar analytes. The extraction methods were compared in terms of efficiency (total number of detected metabolites) and reproducibility. The method was based on the stepwise extraction with MTBE, methanol, and water proved to...
Molecules
Bladder cancer (BC) is a common malignancy of the urinary system and a leading cause of death wor... more Bladder cancer (BC) is a common malignancy of the urinary system and a leading cause of death worldwide. In this work, untargeted metabolomic profiling of biological fluids is presented as a non-invasive tool for bladder cancer biomarker discovery as a first step towards developing superior methods for detection, treatment, and prevention well as to further our current understanding of this disease. In this study, urine samples from 24 healthy volunteers and 24 BC patients were subjected to metabolomic profiling using high throughput solid-phase microextraction (SPME) in thin-film format and reversed-phase high-performance liquid chromatography coupled with a Q Exactive Focus Orbitrap mass spectrometer. The chemometric analysis enabled the selection of metabolites contributing to the observed separation of BC patients from the control group. Relevant differences were demonstrated for phenylalanine metabolism compounds, i.e., benzoic acid, hippuric acid, and 4-hydroxycinnamic acid. F...
Cancers
The main goal of this study was to explore the phospholipid alterations associated with the devel... more The main goal of this study was to explore the phospholipid alterations associated with the development of prostate cancer (PCa) using two imaging methods: matrix-assisted laser desorption ionization with time-of-flight mass spectrometer (MALDI-TOF/MS), and electrospray ionization with triple quadrupole mass spectrometer (ESI-QqQ/MS). For this purpose, samples of PCa tissue (n = 40) were evaluated in comparison to the controls (n = 40). As a result, few classes of compounds, namely phosphatidylcholines (PCs), lysophosphatidylcholines (LPCs), sphingomyelins (SMs), and phosphatidylethanolamines (PEs), were determined. The obtained results were evaluated by univariate (Mann–Whitney U-test) and multivariate statistical analysis (principal component analysis, correlation analysis, volcano plot, artificial neural network, and random forest algorithm), in order to select the most discriminative features and to search for the relationships between the responses of these groups of substances...
Medicine in Drug Discovery
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Papers by Michal Markuszewski