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The aim of this study was to evaluate the effect of severe environmental conditions prevailing on metalliferous waste heaps and heavy metal-contaminated growth substrates on accumulation of selected secondary metabolites, antioxidant capacity, and heavy metal concentration in two metallicolous (MC, MZ) and one nonmetallicolous (NM) populations of Echium vulgare L. The shoots and the roots of the three studied populations were collected from their natural habitats. Additionally, the plants were cultivated on different growth substrates, i.e. a contaminated substrate obtained from the areas of growth of the MZ and MC populations and an uncontaminated one from the NM population site. Several compounds, i.e. allantoin, rutin, rosmarinic acid, chlorogenic acid, and 4-hydroxybenzoic acid were identified in the shoots. Moreover, rosmarinic acid, allantoin, and shikonin were measured in the roots. The adverse environmental conditions contributed to a ca. 10- and 4-fold increase in the concentration of allantoin in the roots and shoots, respectively, as well as a ca. 4-fold and ca. 3-fold increase in the level of 4-hydroxybenzoic acid and shikonin, respectively, in comparison with the plants from the uncontaminated site. Similarly, a great impact of the contaminated substrate on the compounds was demonstrated in the soil experiment. Regardless of the populations, even ca. 20-fold higher levels of allantoin and shikonin were observed in plants grown on the MC and MZ substrates. In contrast, the chlorogenic acid concentration was lower in plants collected from the metalliferous areas and in all populations cultivated on the contaminated substrates in comparison with plants from the uncontaminated soil. Unambiguous results were obtained in the case of rutin, i.e. decreased accumulation in both metallicolous populations from the natural environment and increased accumulation in plants grown on the contaminated substrates. The high concentrations of heavy metals in the substrates contributed to high HM concentrations in plant tissues. However, some differences were observed between the metallicolous and nonmetallicolous populations - the accumulation of metals was lower in the shoots and higher in the roots of the NM population, compared with the MZ and MC populations.

DYRK1B protein kinase is an emerging anticancer target due to its overexpression in a variety of cancers and its role in cancer chemoresistance through maintaining cancer cells in the G0 (quiescent) state. Consequently, there is a growing interest in the development of potent and selective DYRK1B inhibitors for anticancer therapy. One of the major off-targets is another protein kinase, GSK3β, which phosphorylates an important regulator of cell cycle progression on the same residue as DYRK1B and is involved in multiple signaling pathways. In the current work, we performed a detailed comparative structural analysis of DYRK1B and GSK3β ATP-binding sites and identified key regions responsible for selectivity. As the crystal structure of DYRK1B has never been reported, we built and optimized a homology model by comparative modeling and metadynamics simulations. Calculation of interaction energies between docked ligands in the ATP-binding sites of both kinases allowed us to pinpoint key residues responsible for potency and selectivity. Specifically, the role of the gatekeeper residues in DYRK1B and GSK3β is discussed in detail, and two other residues are identified as key to selectivity of DYRK1B inhibition versus GSK3β. The analysis presented in this work was used to support the design of potent and selective azaindole-quinoline-based DYRK1B inhibitors and can facilitate development of more selective inhibitors for DYRK kinases.

Pentacyclic triterpenes have a diverse biological activity and they are promising targets for the medicinal applications in numerous disorders. The high amount of triterpenes is found in Lamiaceae and Ericaceae family; however, the new sources of these compounds are continuously being looked for. Different species of Carlina genus have been commonly used in traditional medicine in many countries and their pharmacological properties may be related to pentacyclic triterpenes; thus, the objective of this work was the analysis of various species of Carlina genus regarding the presence of triterpenic compounds and their distribution in different parts of plant. So far, the chemical study of these plants refers only to the determination of polyphenols and the essential oils composition. HPTLC was used as a screening method for qualitative investigations. The quantification of triterpenes was done using RP-HPLC-PDA on spherical and monolithic stationary phases. The identity of compounds was established by HR-APCI-MS and 1H NMR techniques. Our investigation reveals the occurrence of α-amyrin, β-amyrin, β-amyrin acetate, lupeol, lupeol acetate, betulinic, oleanolic and ursolic acid mostly in aboveground parts of the studied species. Carlina genus turned out to be a rich source of biologically active triterpenes.

Introduction Adverse environmental conditions usually change plant biochemical pathways resulting in accumulation or decreased content of both primary and secondary metabolites. The chemometric fingerprinting analysis proves to be a useful tool to reveal phytochemical differentiation between plants inhabiting heavy metal-contaminated and uncontaminated areas. Objective Development and assessment of four analytical techniques – high performance capillary electrophoresis (HPCE), thin-layer chromatography (TLC), mass spectrometry (MS), and Fourier transform infrared (FTIR) spectroscopy in chemometric fingerprinting of metallicolous and non-metallicolous populations of Echium vulgare L. Material and Methods – Twenty-one crude methanol extracts of shoot samples representing three populations of Echium vulgare L., two originating from highly metal polluted areas and one from an unpolluted area, were investigated using four analytical methods: HPCE, TLC, MS, and FTIR spectroscopy. Data pre-processing (denoising, background subtracting, horizontal alignment) followed by principal component analysis (PCA), hierarchical clustering analysis (HCA), and phytochemical difference index (DI) calculations facilitated exploration of the differences and similarities between the populations. Results Clear phytochemical divergence between metallicolous and non-metallicolous populations of Echium vulgare was found. The suitability of the analytical techniques for revealing phytochemical markers and discrimination of individuals originating from different populations differed and in general increased in the order: TLC

Background: Hematopoietic progenitor kinase 1 (HPK1, MAP4K1) is predominantly expressed in hematopoietic cell linages and serves as a negative regulator of T cells and dendritic cells (DC). Alteration of ERK/MAPK pathway by HPK1 in T-cells and dendritic cells is an inhibitory mechanism that negatively regulates TCR-induced IL-2 gene transcription, T cell maturation and proliferation. Inhibiting kinase activity of HPK1 results in activation of antigen presenting properties of dendritic cells and stimulates maturation and proliferation of T cells. Therefore, small molecule inhibitors of HPK1 could serve as a novel agent to transform cold, resistant tumors into sensitive hot cancers and provide additional benefit in combination with existing immunotherapies. Methods: Inhibition of HPK1 was assessed by biochemical assay with recombinant human and mouse protein. Small molecule inhibitors were tested in biochemical assay on other MAP4Ks and in addition profiled against broad kinase panel. Phosphorylation of Serine 376 and Tyrosine 128 of SLP-76 adaptor protein upon HPK1 inhibition was monitored by Western Blotting in human and murine T-cells. IL-2 release was monitored in total human PBMC, human CD3+ T cells and mouse CD3+ splenocytes. Human CD3+ T cells were isolated from PBMC, activated with plate-bound anti-CD3/anti-CD28 and exposed to compounds in the presence of PGE-2, followed by IL-2 release measurement, viability and proliferation assessment using flow cytometry. Mouse CD3+ splenocytes were isolated from Balb/c mice, activated with plate-bound anti-CD3/anti-CD28 and exposed to compounds in the presence of PGE-2, followed by IL-2 release assessment. Results: Small molecule Ryvu HPK1 inhibitors block kinase activity of recombinant mouse and human protein with nanomolar IC50 values. Ryvu compounds show broad kinome selectivity. Ryvu HPK1 inhibitors selectively engage downstream biomarkers in human and murine T cells. While inhibiting phosphorylation of Serine 376, Ryvu compounds do not affect activatory phosphorylation of Tyrosine 128 of SLP-76 in human or mouse CD3+ T cells. Ryvu HPK1 inhibitors overcome PGE-2 induced resistance following TCR activation in human PBMCs, CD3+ T-cells and mouse CD3+ T cells, inducing IL-2 release. Compounds have good druglike physicochemical properties. Conclusion: Ryvu HPK1 inhibitors promote activation of in-vitro immunostimulatory properties of both mouse and human immune cells, overcoming immunosuppression. The chemical series has the potential to show anti-tumor efficacy in syngeneic animal models as a single agent or in combination with checkpoint inhibitors. Citation Format: Stefan Chmielewski, Maciej Kujawa, Eliza Zimoląg, Paweł Guzik, Agata Dudek, Grzegorz Topolnicki, Sylwia Sudoł, Agnieszka Gibas, Marta Bugaj, Kostiantyn Krolenko, Marcin Nowogródzki, Anita Janiga, Przemysław Wyrębek, Jakub Pięta, Aleksandra Brzdonkiewicz, Grzegorz Wilkowski, Marcin Walczak, Katarzyna Maciejewska, Adam Radzimierski, Wojciech Jasnosz, Tushar Mahajan, Roberta Bartolotta, Karolina Gluza, Patryk Kret, Ewelina Rutkowska, Kinga Michalik, Katarzyna Banaszak, Adrian Podkowa, Aniela Gołas, Katarzyna Wnuk-Lipińska, Charles Fabritius, Luigi Stasi, Peter Littlewood, Krzysztof Brzózka, Anna Bartosik, Monika Dobrzańska. Development and characterization of small molecule HPK1 inhibitors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1947.

Predicting the functional preferences of the ligands was always a highly demanding task, much harder that predicting whether a ligand can bind to the receptor. This is because of significant similarities of agonists, antagonists and inverse agonists which are binding usually in the same binding site of the receptor and only small structural changes can push receptor toward a particular activation state. For G protein-coupled receptors, due to a large progress in crystallization techniques and also in receptor thermal stabilization, it was possible to obtain a large number of high-quality structures of complexes of these receptors with agonists and non-agonists. Additionally, the long-time-scale molecular dynamics simulations revealed how the activation processes of GPCRs can take place. Using both theoretical and experimental knowledge it was possible to employ many clever and sophisticated methods which can help to differentiate agonists and non-agonists, so one can interconvert them in search of the optimal drug.

Predicting the functional preferences of the ligands was always a highly demanding task, much harder that predicting whether a ligand can bind to the receptor. This is because of significant similarities of agonists, antagonists and inverse agonists which are binding usually in the same binding site of the receptor and only small structural changes can push receptor toward a particular activation state. For G protein-coupled receptors, due to a large progress in crystallization techniques and also in receptor thermal stabilization, it was possible to obtain a large number of high-quality structures of complexes of these receptors with agonists and non-agonists. Additionally, the long-time-scale molecular dynamics simulations revealed how the activation processes of GPCRs can take place. Using both theoretical and experimental knowledge it was possible to employ many clever and sophisticated methods which can help to differentiate agonists and non-agonists, so one can interconvert them in search of the optimal drug.

A novel versatile tool named GPCRM has been developed. It targets structure prediction of a distinct protein family of G protein-coupled receptors (GPCRs). In principle, GPCRM builds a GPCR model using a MODELLER-based homology modeling procedure. In addition, that commonly used procedure was improved by using comparison of sequence profiles, multiple template structures and the extensive loop refinement in Rosetta. We applied our method to predict a three dimensional structure of a gastric inhibitory polypeptide receptor (GIPR) from the secretin-like class B of human GPCRs. The GIPR model was also tested in an ensemble docking study in which we investigated plausible interactions of four potential antagonists with that receptor. Out of those four ligands we suggested ChEMBL_1933363 as the most potent antagonist of GIPR based on the Glide docking results.

A novel stability-indicating TLC method for determination of propafenone hydrochloride (PRO) in bulk drug and POLFENON tablets. Normal-phase high performance thin layer chromatographic separation was achieved by use of silica gel 60 F254 plates and mixture of chloroform–methanol–acetic acid 99.5% (7.9:2:0.1, v/v/v) as the mobile phase. Linear calibration function was obtained (r 2 = 0.9987) with respect to peak area in the concentration range of 0.1–3.2 µg/spot. Densitometric analysis of PRO and its forced-degradation products was carried out in the absorbance mode at 316 nm. Limits of detection and quantification were 0.02 and 0.08 µg/spot, respectively. PRO was subjected to stress conditions for obtainment of hydrolytic, oxidative, photolytic, and thermal degradation products. The GC-MS technique was applied to identification of the degradants. The elaborated method was validated using ICH guidelines. The linearity, accuracy (99.24%), precision (intraday RSD 1.61%), and specificity were satisfactory. Th...

Over the last few decades significant increase in computational methods ( in silico ) was annotated. Novel methods have been developed and applied for hypothesis improvement and testing in regions of industrial, pharmaceutical and environmental research. The term in silico methods include variety of approaches. Considerable attention has been attracted to databases, data analysis tools, quantitative structure-activity relationships (QSAR), pharmacophore models, molecular docking and dynamics, pharmacokinetics and other molecular modelling techniques. In silico methods are often accompanied

A disturbance of glucose homeostasis leading to type 2 diabetes mellitus (T2DM) is one of the severe side effects that may occur during a prolonged use of many drugs currently available on the market. In this manuscript we describe the most common cases of drug-induced T2DM, discuss available pharmacotherapies and propose new ones. Among various pharmacotherapies of T2DM, incretin therapies have recently focused attention due to the newly determined crystal structure of incretin hormone receptor GLP1R. Incretin hormone receptors: GLP1R and GIPR together with the glucagon receptor GCGR regulate food intake and insulin and glucose secretion. Our study showed that incretin hormone receptors, named also gut hormone receptors as they are expressed in the gastrointestinal tract, could potentially act as unintended targets (off-targets) for orally administrated drugs. Such off-target interactions, depending on their effect on the receptor (stimulation or inhibition), could be beneficial, like in the case of incretin mimetics, or unwanted if they cause, e.g., decreased insulin secretion. In this in silico study we examined which well-known pharmaceuticals could potentially interact with gut hormone receptors in the off-target way. We observed that drugs with the strongest binding affinity for gut hormone receptors were also reported in the medical information resources as the least disturbing the glucose homeostasis among all drugs in their class. We suggested that those strongly binding molecules could potentially stimulate GIPR and GLP1R and/or inhibit GCGR which could lead to increased insulin secretion and decreased hepatic glucose production. Such positive effect on the glucose homeostasis could compensate for other, adverse effects of pharmacotherapy which lead to drug-induced T2DM. In addition, we also described several top hits as potential substitutes of peptidic incretin mimetics which were discovered in the drug repositioning screen using gut hormone receptors structures against the ZINC15 compounds subset.

New HPLC method was developed for determination of amlodipine and valsartan in their binary mixture as a part of routine control of combined formulations. The method was validated to meet official requirements including selectivity, stability, linearity, precision and accuracy. Chromatography was carried out using a LiChrospher RP-18 column, a mixture containing acetonitrile, phosphate buffer of pH 3.5 and methanol (45:45:10, v/v/v) and new fluorescence detection at 255 nm for excitation and 448 nm for emission. The effect of methanol content, pH of the buffer, flow rate, detection wavelengths and column temperature was estimated in robustness study, according to a plan defined by the Plackett-Burman design. For identification of significant effects, both graphical and statistical methods were used. Ro-bustness for dissolution test was checked estimating the effects of paddle speed, temperature and pH of dissolution medium. The method was proved to complying with all official guidelines. Therefore, it is suitable for determination of amlodipine and valsartan in their binary mixtures for different analytical and pharmaceutical purposes.

The functioning of GPCRs is classically described by the ternary complex model as the interplay of three basic components: a receptor, an agonist, and a G protein. According to this model, receptor activation results from an interaction with an agonist, which translates into the activation of a particular G protein in the intracellular compartment that, in turn, is able to initiate particular signaling cascades. Extensive studies on GPCRs have led to new findings which open unexplored and exciting possibilities for drug design and safer and more effective treatments with GPCR targeting drugs. These include discovery of novel signaling mechanisms such as ligand promiscuity resulting in multitarget ligands and signaling cross-talks, allosteric modulation, biased agonism, and formation of receptor homo- and heterodimers and oligomers which can be efficiently studied with computational methods. Computer-aided drug design techniques can reduce the cost of drug development by up to 50%. In particular structure- and ligand-based virtual screening techniques are a valuable tool for identifying new leads and have been shown to be especially efficient for GPCRs in comparison to water-soluble proteins. Modern computer-aided approaches can be helpful for the discovery of compounds with designed affinity profiles. Furthermore, homology modeling facilitated by a growing number of available templates as well as molecular docking supported by sophisticated techniques of molecular dynamics and quantitative structure-activity relationship models are an excellent source of information about drug-receptor interactions at the molecular level.

Adverse environmental conditions usually change plant biochemical pathways resulting in accumulation or decreased content of both primary and secondary metabolites. The chemometric fingerprinting analysis proves to be a useful tool to reveal phytochemical differentiation between plants inhabiting heavy metal-contaminated and uncontaminated areas.Development and assessment of four analytical techniques - high performance capillary electrophoresis (HPCE), thin-layer chromatography (TLC), mass spectrometry (MS), and Fourier transform infrared (FTIR) spectroscopy in chemometric fingerprinting of metallicolous and non-metallicolous populations of Echium vulgare L.Twenty-one crude methanol extracts of shoot samples representing three populations of Echium vulgare L., two originating from highly metal polluted areas and one from an unpolluted area, were investigated using four analytical methods: HPCE, TLC, MS, and FTIR spectroscopy. Data pre-processing (denoising, background subtracting, horizontal alignment) followed by principal component analysis (PCA), hierarchical clustering analysis (HCA), and phytochemical difference index (DI) calculations facilitated exploration of the differences and similarities between the populations.Clear phytochemical divergence between metallicolous and non-metallicolous populations of Echium vulgare was found. The suitability of the analytical techniques for revealing phytochemical markers and discrimination of individuals originating from different populations differed and in general increased in the order: TLC MS = HPCE FTIR.The chemometric methods applied were successful in discrimination between samples from polluted and unpolluted areas, showing a potential perspective for environmental quality control. Copyright © 2016 John WileySons, Ltd.

The functioning of GPCRs is classically described by the ternary complex model as the interplay of three basic components: a receptor, an agonist, and a G protein. According to this model, receptor activation results from an interaction with an agonist, which translates into the activation of a particular G protein in the intracellular compartment that, in turn, is able to initiate particular signaling cascades. Extensive studies on GPCRs have led to new findings which open unexplored and exciting possibilities for drug design and safer and more effective treatments with GPCR targeting drugs. These include discovery of novel signaling mechanisms such as ligand promiscuity resulting in multitarget ligands and signaling cross-talks, allosteric modulation, biased agonism, and formation of receptor homo- and heterodimers and oligomers which can be efficiently studied with computational methods. Computer-aided drug design techniques can reduce the cost of drug development by up to 50%. In particular structure- and ligand-based virtual screening techniques are a valuable tool for identifying new leads and have been shown to be especially efficient for GPCRs in comparison to water-soluble proteins. Modern computer-aided approaches can be helpful for the discovery of compounds with designed affinity profiles. Furthermore, homology modeling facilitated by a growing number of available templates as well as molecular docking supported by sophisticated techniques of molecular dynamics and quantitative structure-activity relationship models are an excellent source of information about drug-receptor interactions at the molecular level.

D-Serine is an endogenous NMDA receptor co-agonist that activates synaptic NMDA receptors modulating neuronal networks in the cerebral cortex and plays a key role in long-term potentiation of synaptic transmission. D-serine is associated with NMDA receptor neurotoxicity and neurodegeneration and elevated D-serine concentrations have been associated with Alzheimer’s and Parkinsons’ diseases and amyotrophic lateral sclerosis. Previous studies have demonstrated that the ketamine metabolites (rac)-dehydronorketamine and (2S,6S)-hydroxynorketamine decrease intracellular D-serine concentrations in a concentration dependent manner in PC-12 cells. In the current study, PC-12 cells were incubated with a series of ketamine metabolites and the IC50 values associated with attenuated intracellular D-serine concentrations were determined. The results demonstrate that structural and stereochemical features of the studied compounds contribute to the magnitude of the inhibitory effect with (2S,6S)-hydroxynorketamine and (2R,6R)-hydroxynorketamine displaying the most potent inhibition with IC50 values of 0.18 ± 0.04 nM and 0.68 ± 0.09 nM. The data was utilized to construct a preliminary 3D-QSAR/pharmacophore model for use in the design of new and more efficient modulators of D-serine.

The presystemic sulfate conjugation of the stereoisomers of 4′-methoxyfenoterol, (R,R′)-MF, (S,S′)-MF, (R,S′)-MF, and (S,R′)-MF, was investigated using commercially available human intestinal S9 fractions, a mixture of sulfotransferase (SULT) enzymes. The results indicate that the sulfation was stereospecific and that an S-configuration at the β-OH carbon of the MF molecule enhanced the maximal formation rates with (S,R′)-MF (S,S′)-MF (R,S′)-MF ≈ (R,R′)-MF, and competition studies demonstrated that (S,R′)-MF is an effective inhibitor of (R,R′)-MF sulfation (IC50 = 60 μM). In addition, the results from a cDNA-expressed human SULT isoform screen indicated that SULT1A1, SULT1A3, and SULT1E1 can mediate the sulfation of all four MF stereoisomers. Previously published molecular models of SULT1A3 and SULT1A1 were used in docking simulations of the MF stereoisomers using Molegro Virtual Docker. The models of the MF-SULT1A3 and MF-SULT1A1 complexes indicate that each of the two chiral centers of MF molecule plays a role in the observed relative stabilities. The observed stereoselectivity is the result of multiple hydrogen bonding interactions and induced conformational changes within the substrate–enzyme complex. In conclusion, the results suggest that a formulation developed from a mixture of (R,R′)-MF and (S,R′)-MF may increase the oral bioavailability of (R,R′)-MF. Chirality 24:796–803, 2012. © 2012 Wiley Periodicals, Inc.1

The ability of molecules to distinguish between optical isomers is crucial for living systems. The change of position of one enantiomer in respect to the position of the second enantiomer within an asymmetric binding site may be analyzed on different levels. Root Mean Square Deviation (RMSD) may be used for such analyses with low precision. Additional fragment level variants of RMSD allow for more precise definition of differences in location of the main molecular features responsible for recognition of stereoisomers by a selector. Three fRMSDchiral parameters appear to be very useful to precisely quantify the change in orientations of stereoisomers. Proposed calculation emerges as interesting assistance in interpretation of consequences of formation differential interaction(s) responsible for a chiral recognition process.

The β₂-adrenergic receptor (β₂-AR) agonist [(3)H]-(R,R')-methoxyfenoterol was employed as the marker ligand in displacement studies measuring the binding affinities (Ki values) of the stereoisomers of a series of 4'-methoxyfenoterol analogs in which the length of the alkyl substituent at α' position was varied from 0 to 3 carbon atoms. The binding affinities of the compounds were additionally determined using the inverse agonist [(3)H]-CGP-12177 as the marker ligand and the ability of the compounds to stimulate cAMP accumulation, measured as EC₅₀ values, were determined in HEK293 cells expressing the β₂-AR. The data indicate that the highest binding affinities and functional activities were produced by methyl and ethyl substituents at the α' position. The results also indicate that the Ki values obtained using [(3)H]-(R,R')-methoxyfenoterol as the marker ligand modeled the EC₅₀ values obtained from cAMP stimulation better than the data obtained using [(3)H]-CGP-12177 as the marker ligand. The data from this study was combined with data from previous studies and processed using the Comparative Molecular Field Analysis approach to produce a CoMFA model reflecting the binding to the β₂-AR conformation probed by [(3)H]-(R,R')-4'-methoxyfenoterol. The CoMFA model of the agonist-stabilized β₂-AR suggests that the binding of the fenoterol analogs to an agonist-stabilized conformation of the β₂-AR is governed to a greater extend by steric effects than binding to the [(3)H]-CGP-12177-stabilized conformation(s) in which electrostatic interactions play a more predominate role.

Lipophilicity is a physicochemical property of crucial importance in medicinal chemistry. On the molecular level it encodes information on the network of inter- and intramolecular forces affecting drug transport through lipid structures as well as drug's interactions with the target protein. In result, on the organism level, lipophilicity is an important factor defining pharmacokinetics and pharmacodynamics of a drug substance. Thus, it is a meaningful parameter that found innumerable applications in drug development, Quantitative Structure-Activity Relationships (QSARs) and Quantitative Structure-Pharmacokinetic Relationships (QSPkRs) analyses. This report reviews the importance of lipophilicity on each step of the presence of a medicinal substance in the organism and describes progress in experimental methods of its determination. It has been documented that the retention of a compound in reversed-phase liquid chromatography is governed by its lipophilicity and shows significant correlation with n-octanol/water partition coefficient. Hence, reversed phase chromatography may provide relevant information about the compounds' property. Elaboration of biomimetic stationary phases provides better insight into biological partition processes. Nowadays, there is an urgent need for both precise and quick procedures for quantification of molecular lipophilicity.

The aim of the present study was to use the analysis of surface water chemistry to understand vegetation succession pathways in terrestrializing polyhumic lakes. We hypothesized that Sphagnum mire development was accompanied by a decrease in the mineral content in water. A total of 111 vegetation plots along 23 transects were analysed in 11 lakes and adjacent peat lands in the Wigry National Park (NE Poland). The vegetation of the lake-mire systems forms distinct zones: (1) nymphaeid-, bladderwort- and bryophyte-dominated aquatic vegetation; (2) sedge-dominated edge of the Sphagnumcarpet; (3) quaking, extremely poor fen with various Cyperaceae; (4) non-quaking, Eriophorum vaginatum-dominated bog-like vegetation and (5) pine woodland. Surface water corrected conductivity (ECcorr.), pH, COD-KMnO4 and Ca2+, Mg2+, Fetot. and SiO2 were measured along the transects. The environmental gradients best explaining the observed pattern were pH (with the highest values in the lake and the lowest in the bog-like vegetation) and COD-KMnO4 (showing an inverse direction). At least in some Sphagnum-mires conditions were more minerotrophic than in the lakes. The process of humic lake overgrowing by Sphagnum-mires in NE Poland results in pine woodlands on mineralised peat. The climate conditions in NE Poland, combined with evapotranspiration accelerated by encroaching trees, do not seem to support the development of ombrotrophic bogs.