Understanding Human Drug Conjugating Enzymes; Regio- and Stereoselectivity in Sulfotransferase 1A3 and the UDP-Glucuronosyltransferases

Sulfotransferases (SULTs) and UDP-glucuronosyltransferases (UGTs) are important detoxification enzymes and they contribute to bioavailability and elimination of many drugs. SULT1A3 is an extrahepatic enzyme responsible for the sulfonation of dopamine, which is often used as its probe substrate. A new method for analyzing dopamine-3-O-sulfate and dopamine-4-O-sulfate by high-performance liquid chromatography was developed and the enzyme kinetic parameters for their formation were determined using purified recombinant human SULT1A3. The results show that SULT1A3 strongly favors the 3-hydroxy group of dopamine, which indicates that it may be the major enzyme responsible for the difference between the circulating levels of dopamine sulfates in human blood. All 19 known human UGTs were expressed as recombinant enzymes in baculovirus infected insect cells and their activities toward dopamine and estradiol were studied. UGT1A10 was identified as the only UGT capable of dopamine glucuronidation at a substantial level. The results were supported by studies with human intestinal and liver microsomes. The affinity was low indicating that UGT1A10 is not an important enzyme in dopamine metabolism in vivo. Despite the low affinity, dopamine is a potential new probe substrate for UGT1A10 due to its selectivity. Dopamine was used to study the importance of phenylalanines 90 and 93 in UGT1A10. The results revealed distinct effects that are dependent on differences in the size of the side chain and on the differences in their position within the protein. Examination of twelve mutants revealed lower activity in all of them. However, the enzyme kinetic studies of four mutants showed that their affinities were similar to that of UGT1A10 suggesting that F90 and F93 are not directly involved in dopamine binding in the active site. The glucuronidation of β-estradiol and epiestradiol (α-estradiol) was studied to elucidate how the orientation of the 17-OH group affects conjugation at the 3-OH or the 17-OH of either diastereomer. The results show that there are clear differences in the regio- and stereoselectivities of UGTs. The most active isoforms were UGT1A10 and UGT2B7 demonstrating opposite regioselectivity. The stereoselectivities of UGT2Bs were more complex than those of UGT1As. The amino acid sequences of the human UGTs 1A9 and 1A10 are 93% identical, yet there are large differences in their activity and substrate selectivity. Several mutants were constructed to identify the residues responsible for the activity differences. The results revealed that the residues between Leu86 and Tyr176 of UGT1A9 determine the differences between UGT1A9 and UGT1A10. Phe117 of UGT1A9 participated in 1-naphthol binding and the residues at positions 152 and 169 contributed to the higher glucuronidation rates of UGT1A10. In summary, the results emphasize that the substrate selectivities, including regio- and stereoselectivities, of UGTs are complex and they are controlled by many amino acids rather than one critical residue.

Assessment of In-House Natural Product and Synthetic Compound Libraries Based on In vitro Inhibition of Cholinesterases

The first line medication for mild to moderate Alzheimer s disease (AD) is based on cholinesterase inhibitors which prolong the effect of the neurotransmitter acetylcholine in cholinergic nerve synapses which relieves the symptoms of the disease. Implications of cholinesterases involvement in disease modifying processes has increased interest in this research area. The drug discovery and development process is a long and expensive process that takes on average 13.5 years and costs approximately 0.9 billion US dollars. Drug attritions in the clinical phases are common due to several reasons, e.g., poor bioavailability of compounds leading to low efficacy or toxic effects. Thus, improvements in the early drug discovery process are needed to create highly potent non-toxic compounds with predicted drug-like properties. Nature has been a good source for the discovery of new medicines accounting for around half of the new drugs approved to market during the last three decades. These compounds are direct isolates from the nature, their synthetic derivatives or natural mimics. Synthetic chemistry is an alternative way to produce compounds for drug discovery purposes. Both sources have pros and cons. The screening of new bioactive compounds in vitro is based on assaying compound libraries against targets. Assay set-up has to be adapted and validated for each screen to produce high quality data. Depending on the size of the library, miniaturization and automation are often requirements to reduce solvent and compound amounts and fasten the process. In this contribution, natural extract, natural pure compound and synthetic compound libraries were assessed as sources for new bioactive compounds. The libraries were screened primarily for acetylcholinesterase inhibitory effect and secondarily for butyrylcholinesterase inhibitory effect. To be able to screen the libraries, two assays were evaluated as screening tools and adapted to be compatible with special features of each library. The assays were validated to create high quality data. Cholinesterase inhibitors with various potencies and selectivity were found in natural product and synthetic compound libraries which indicates that the two sources complement each other. It is acknowledged that natural compounds differ structurally from compounds in synthetic compound libraries which further support the view of complementation especially if a high diversity of structures is the criterion for selection of compounds in a library.

Irradiation effects in graphene and related materials

Nanomaterials with a hexagonally ordered atomic structure, e.g., graphene, carbon and boron nitride nanotubes, and white graphene (a monolayer of hexagonal boron nitride) possess many impressive properties. For example, the mechanical stiffness and strength of these materials are unprecedented. Also, the extraordinary electronic properties of graphene and carbon nanotubes suggest that these materials may serve as building blocks of next generation electronics. However, the properties of pristine materials are not always what is needed in applications, but careful manipulation of their atomic structure, e.g., via particle irradiation can be used to tailor the properties. On the other hand, inadvertently introduced defects can deteriorate the useful properties of these materials in radiation hostile environments, such as outer space. In this thesis, defect production via energetic particle bombardment in the aforementioned materials is investigated. The effects of ion irradiation on multi-walled carbon and boron nitride nanotubes are studied experimentally by first conducting controlled irradiation treatments of the samples using an ion accelerator and subsequently characterizing the induced changes by transmission electron microscopy and Raman spectroscopy. The usefulness of the characterization methods is critically evaluated and a damage grading scale is proposed, based on transmission electron microscopy images. Theoretical predictions are made on defect production in graphene and white graphene under particle bombardment. A stochastic model based on first-principles molecular dynamics simulations is used together with electron irradiation experiments for understanding the formation of peculiar triangular defect structures in white graphene. An extensive set of classical molecular dynamics simulations is conducted, in order to study defect production under ion irradiation in graphene and white graphene. In the experimental studies the response of carbon and boron nitride multi-walled nanotubes to irradiation with a wide range of ion types, energies and fluences is explored. The stabilities of these structures under ion irradiation are investigated, as well as the issue of how the mechanism of energy transfer affects the irradiation-induced damage. An irradiation fluence of 5.5x10^15 ions/cm^2 with 40 keV Ar+ ions is established to be sufficient to amorphize a multi-walled nanotube. In the case of 350 keV He+ ion irradiation, where most of the energy transfer happens through inelastic collisions between the ion and the target electrons, an irradiation fluence of 1.4x10^17 ions/cm^2 heavily damages carbon nanotubes, whereas a larger irradiation fluence of 1.2x10^18 ions/cm^2 leaves a boron nitride nanotube in much better condition, indicating that carbon nanotubes might be more susceptible to damage via electronic excitations than their boron nitride counterparts. An elevated temperature was discovered to considerably reduce the accumulated damage created by energetic ions in both carbon and boron nitride nanotubes, attributed to enhanced defect mobility and efficient recombination at high temperatures. Additionally, cobalt nanorods encapsulated inside multi-walled carbon nanotubes were observed to transform into spherical nanoparticles after ion irradiation at an elevated temperature, which can be explained by the inverse Ostwald ripening effect. The simulation studies on ion irradiation of the hexagonal monolayers yielded quantitative estimates on types and abundances of defects produced within a large range of irradiation parameters. He, Ne, Ar, Kr, Xe, and Ga ions were considered in the simulations with kinetic energies ranging from 35 eV to 10 MeV, and the role of the angle of incidence of the ions was studied in detail. A stochastic model was developed for utilizing the large amount of data produced by the molecular dynamics simulations. It was discovered that a high degree of selectivity over the types and abundances of defects can be achieved by carefully selecting the irradiation parameters, which can be of great use when precise pattering of graphene or white graphene using focused ion beams is planned.

Yhteinen kaupunki, eriytyvät kaupunginosat? : Kantaväestön ja maahanmuuttajataustaisten asukkaiden alueellinen eriytyminen ja muuttoliike pääkaupunkiseudulla

This thesis critically examines the patterns and processes of ethnic residential segregation in the Helsinki Metropolitan Area (HMA). These phenomena are examined in two main ways: a) between the native and immigrant populations and b) the extent to which different immigrant groups are sharing the same neighbourhoods. The main aim of the study is to test the extent to which the theoretical claims of the selective migration processes can explain the development of ethnic residential segregation in HMA. The data is mixed: it consists of neighbourhood-level statistics related to the migration, demography and housing stock. The selective migration flows are analysed within and between neighbourhood-types, defined on the basis of the percentages of foreign-language-speakers. For contextual purposes, the study also includes fifteen expert interviews who work within the housing sector. Firstly, the results show that, from the early 2000s the patterns of ethnic residential segregation have strengthened while the differences between neighbourhoods have grown. On a more general level the HMA can be divided into two main areas: some eastern and north-eastern neighbourhoods that have experienced the rise of immigrant concentrations and; the northern, north-western and southern parts of the HMA, where the number and percentages of immigrants have remained relatively low. However, within the eastern and north-eastern neighbourhoods there are also discernable internal differences that reflect the income levels of the inhabitants and the type of housing stock. The results also show that, the existing immigrant concentrations are ethnically and culturally mixed and thus qualitatively different from China town and Little-Italy enclaves of single groups of immigrants. Secondly, the results show that there are clear signs of the selective migration processes of the native and immigrant populations which have resulted in the discernable development of ethnic residential segregation. Migration flows of the native population have gravitated towards neighbourhoods, where the percentage of immigrants is below the HMA average. This has resulted in significant migration losses for neighbourhoods with established and developing concentrations of immigrants. Meanwhile, migration of immigrants has been drawn to neighbourhoods where their percentages are above the HMA average. However, the results also point to clear differences in the migration and spatial patterns of different immigrant groups. The spatial selectivity of migration is, thus, more prominent amongst the native population than when compared with immigrants. Overall, the results indicate that the reproduction of the selective migration flows of the native and immigrant populations will largely determine HMA s future development of ethnic residential segregation.

Microfinance, Efficiency and Agricultural Production in Bangladesh

The objectives of this study were to make a detailed and systematic empirical analysis of microfinance borrowers and non-borrowers in Bangladesh and also examine how efficiency measures are influenced by the access to agricultural microfinance. In the empirical analysis, this study used both parametric and non-parametric frontier approaches to investigate differences in efficiency estimates between microfinance borrowers and non-borrowers. This thesis, based on five articles, applied data obtained from a survey of 360 farm households from north-central and north-western regions in Bangladesh. The methods used in this investigation involve stochastic frontier (SFA) and data envelopment analysis (DEA) in addition to sample selectivity and limited dependent variable models. In article I, technical efficiency (TE) estimation and identification of its determinants were performed by applying an extended Cobb-Douglas stochastic frontier production function. The results show that farm households had a mean TE of 83% with lower TE scores for the non-borrowers of agricultural microfinance. Addressing institutional policies regarding the consolidation of individual plots into farm units, ensuring access to microfinance, extension education for the farmers with longer farming experience are suggested to improve the TE of the farmers. In article II, the objective was to assess the effects of access to microfinance on household production and cost efficiency (CE) and to determine the efficiency differences between the microfinance participating and non-participating farms. In addition, a non-discretionary DEA model was applied to capture directly the influence of microfinance on farm households production and CE. The results suggested that under both pooled DEA models and non-discretionary DEA models, farmers with access to microfinance were significantly more efficient than their non-borrowing counterparts. Results also revealed that land fragmentation, family size, household wealth, on farm-training and off farm income share are the main determinants of inefficiency after effectively correcting for sample selection bias. In article III, the TE of traditional variety (TV) and high-yielding-variety (HYV) rice producers were estimated in addition to investigating the determinants of adoption rate of HYV rice. Furthermore, the role of TE as a potential determinant to explain the differences of adoption rate of HYV rice among the farmers was assessed. The results indicated that in spite of its much higher yield potential, HYV rice production was associated with lower TE and had a greater variability in yield. It was also found that TE had a significant positive influence on the adoption rates of HYV rice. In article IV, we estimated profit efficiency (PE) and profit-loss between microfinance borrowers and non-borrowers by a sample selection framework, which provided a general framework for testing and taking into account the sample selection in the stochastic (profit) frontier function analysis. After effectively correcting for selectivity bias, the mean PE of the microfinance borrowers and non-borrowers were estimated at 68% and 52% respectively. This suggested that a considerable share of profits were lost due to profit inefficiencies in rice production. The results also demonstrated that access to microfinance contributes significantly to increasing PE and reducing profit-loss per hectare land. In article V, the effects of credit constraints on TE, allocative efficiency (AE) and CE were assessed while adequately controlling for sample selection bias. The confidence intervals were determined by the bootstrap method for both samples. The results indicated that differences in average efficiency scores of credit constrained and unconstrained farms were not statistically significant although the average efficiencies tended to be higher in the group of unconstrained farms. After effectively correcting for selectivity bias, household experience, number of dependents, off-farm income, farm size, access to on farm training and yearly savings were found to be the main determinants of inefficiencies. In general, the results of the study revealed the existence substantial technical, allocative, economic inefficiencies and also considerable profit inefficiencies. The results of the study suggested the need to streamline agricultural microfinance by the microfinance institutions (MFIs), donor agencies and government at all tiers. Moreover, formulating policies that ensure greater access to agricultural microfinance to the smallholder farmers on a sustainable basis in the study areas to enhance productivity and efficiency has been recommended. Key Words: Technical, allocative, economic efficiency, DEA, Non-discretionary DEA, selection bias, bootstrapping, microfinance, Bangladesh.

High selectivity miniaturized broadband filter

Design of a compact broadband filter using tightly coupled line sections in defected (A slot is cut in the ground) microstrip medium operating from 3 1-6 8 GHz has been repotted in this article Filter has been designed and analyzed using an equivalent circuit model based on even and odd mock parameters of coupled line sections The proposed filter has attenuation poles on either side of the pass band resulting in improved selectivity This filter features spurious free response up to third harmonic frequency Experimental results of the filter have been validated against the analytical and full wave simulations (C) 2010 Wiley Periodicals Inc Microwave Opt Technol Lett 53 184-187 2011 View this article online at wileyonlinelibrary com DOI 10.1002/mop.25676

A simple computational model for predicting .pi.-facial selectivity in reductions of sterically unbiased ketones. Relative importance of electrostatic and orbital interactions

Various factore controlling the preferred facial selectivity in the reductions of a number of sterically unbiased ketones have been evaluated using a semiempirical MO procedure. MNDO optimized geometries do not reveal any significant ground-state distortions which can be correlated with the observed face selectivities. Electrostatic effecta due to an approaching reagent were modeled by placing a test negative charge at a fixed distance from the carbonyl carbon on each of the two faces. A second series of calculations was carried out using the hydride ion as a test nucleophile. The latter calculations effectively include orbital interactions involving the u and u* orbitals of the newly formed bond in the reaction. The computed energy differences with the charge model are generally much larger compared to those with the hydride ion. However, both models lead to predictions which are qualitatively consistent with the experimentally determined facial preferences for most of the systems. Thus, electrostatic interactions between the nucleophile and the substrate seem to effectively determine the face selectivities in these molecules. However, there are a few exceptions in which orbital interactions are found to contribute significantly and occasionally reverse the preference dictated by electrostatic effecta. The remarkable succew of the hydride model calculations, in spite of retaining the unperturbed geometries of the substrates, points to the unimportance of torsional effeds and orbital distortions associated with the pyramidalized carbonyl unit in the transition state in most of the substrates considered. Additional experimental results are reported which provide useful calibration for the present computational approach.

Metabolism and Translocation of Aminophospholipids in Mammalian Cells

In this study we investigated the metabolism, i.e. remodeling and translocation, of the aminophospholipids phosphatidylserine (PS) and phosphatidylethanolamine (PE). A new method for introduction of exogenous PS and PE molecular species to cultured cells was developed, and combined with mass spectrometry it enabled more detailed follow-up of the metabolism of single molecular species than previously. We found that I) exogenous PS and PE molecular species can be efficiently introduced to cultured cells without compromising cell integrity, II) PS and PE molecular species are remodeled by several phospholipases displaying selectivity based on phopholipid head group and acyl chain composition, III) PS decarboxylase (PSD) and Kennedy pathways provide a different PE molecular species composition to the cellular PE pool. In addition, PE species produced by these pathways are translocated from the site of synthesis to other cell compartments depending on their acyl chain composition. The data obtained in the present study helps to understand cellular phospholipid metabolism in more depth. The data show that effective labeling of cultured cells by exogenous phospholipids does not compromise cell viability and may be used to disturb cellular phospholipid composition to study lipid homeostasis. Remodeling and translocation of PS and PE molecular species is highly selective. The developed method and mass- spectrometric techniques may be used in future studies to understand disturbances in lipid homeostasis for example in diabetes mellitus, thus opening doors to optional scientific approaches to study mechanisms behind pathologies related to lipid disturbances.

Valikoiva muuttoliike Uudellamaalla

This thesis explores selective migration in Greater Helsinki region from the perspective of counterurbanisation. The aim of the study is to research whether the migration is selective by migrants age, education, income level or the rate of employment and to study any regional patterns formed by the selectivity. In the Helsinki region recent migratory developments have been shifting the areas of net migration gain away from the city of Helsinki to municipalities farther off on the former countryside. There has been discussion about Helsinki s decaying tax revenue base and whether the city s housing policy has contributed to the exodus of wealthier households. The central question of the discussion is one of selective migration: which municipalities succeed in capturing the most favourable migrants and which will lose in the competition. Selective migration means that region s in-migrants and out-migrants significantly differ from each other demographically, socially and economically. Sometimes selectivity is also understood as some individuals greater propensity to migrate than others but the proper notion for this would be differential migration. In Finnish parlance these two concepts have tended to get mixed up. The data of the study covers the total migration of the 34 municipalities of Uusimaa provinces during the years 2001 to 2003. The data was produced by Statistics Finland. Two new methods of representing the selectivity of migration as a whole were constructed during the study. Both methods look at the proportions of favourably selected migrants in regions inward and outward migrant flow. A large share in the inward flow and a small share in the outward flow is good for region s economy and demography. The first method calculates the differences of the proportions of favourably selected four migrant groups and sums the differences up. The other ranks the same proportions between regions giving value 1 to the largest proportion in inward flow and 34 to the smallest, and respectively in outward flow the smallest proportion gets value 1 and the largest 34. The total sum of the ranks or differences in proportions represents region s selectivity of migration. The results show that migration is indeed selective in the Greater Helsinki region. There also seems to be a spatial pattern centred around the Helsinki metropolitan region. The municipalities surrounding the four central communes are generally better of than those farther away. Not only these eight municipalities of the so called capital region benefit from the selective migration, but the favourable structure of migration extends to some of the small municipalities farther away. Some municipalities situated along the main northbound railway line are not coming through as well as other municipalities of the capital region. The selectivity of migration in Greater Helsinki region shows signs of counter-urbanisation. People look for suburban or small-town lifestyle no longer from Espoo or Vantaa, the neighbouring municipalities to Helsinki, but from the municipalities surrounding these two or even farther off. This kind of pattern in selective migration leads to unbalanced development in population structure and tax revenue base in the region. Migration to outskirts of the urban area also leads to urban sprawl and fragmentation of the urban structure: these issues have ecological implications. Selective migration should be studied more. Also the concept itself needs clearer definition and so do the methods to study the selectivity of migration.

Selectivity in Garratt-Braverman Cyclization: An Experimental and Computational Study

Bispropargyl sulfones equipped with aromatic rings of dissimilar nature were synthesized. Under basic conditions, these sulfones isomerized to the bisallenic sulfones, creating a competitive scenario between two alternate Garratt-Braverman (GB) cyclization pathways. The observed product distribution ruled out the involvement of any ionic intermediate and supported the diradical mechanism with greater involvement of the electron-rich aromatic ring via the more nucleophilic radical. DFT-based calculations supported the diradical mechanism along with the observed selectivity.

Ground state geometric distortions Image distal substituent effects in determining the β-facial selectivity in 7-norbornenones

The X-ray structure of Image and MNDO optimized geometries of related 7-norbornenone derivatives show a clear tilt of the carbonyl bridge away from the C=C double bond. The preferred reduction from the more hindered face of the diester reveals the electron/electrostatic origin of π - facial selectivity in these systems. X-ray structure and MNDO calculations reveal the dominance of electronic effects in determining the π-facial selectivity in 4a.

Electrophilic additions to 7-methylenenorbornenes and 7- isopropylidenenorbornenes:can remote substituents swamp electrostatic control of π-face selectivity

pi-Face selectivities in electrophilic additiions (typically CCl2) to 7-methylenenorbornenes and 7-isopropylidenenorbornenes are modulated by endo-substituents.

Acylation of Grignard reagents mediated by N-methylpyrrolidone: A remarkable selectivity for the synthesis of ketones

An efficient user-friendly method of acylation of Grignard reagents to selectively synthesize ketones is presented, which is assisted by simple amides such as NMP, or DMF. The present chemoselective method tolerates a variety of functional groups such as ketone, ester, nitrile and other functional groups.