Process Analytical Technology Approach on Fluid Bed Granulation and Drying : Identifying Critical Relationships and Constructing the Design Space

Fluid bed granulation is a key pharmaceutical process which improves many of the powder properties for tablet compression. Dry mixing, wetting and drying phases are included in the fluid bed granulation process. Granules of high quality can be obtained by understanding and controlling the critical process parameters by timely measurements. Physical process measurements and particle size data of a fluid bed granulator that are analysed in an integrated manner are included in process analytical technologies (PAT). Recent regulatory guidelines strongly encourage the pharmaceutical industry to apply scientific and risk management approaches to the development of a product and its manufacturing process. The aim of this study was to utilise PAT tools to increase the process understanding of fluid bed granulation and drying. Inlet air humidity levels and granulation liquid feed affect powder moisture during fluid bed granulation. Moisture influences on many process, granule and tablet qualities. The approach in this thesis was to identify sources of variation that are mainly related to moisture. The aim was to determine correlations and relationships, and utilise the PAT and design space concepts for the fluid bed granulation and drying. Monitoring the material behaviour in a fluidised bed has traditionally relied on the observational ability and experience of an operator. There has been a lack of good criteria for characterising material behaviour during spraying and drying phases, even though the entire performance of a process and end product quality are dependent on it. The granules were produced in an instrumented bench-scale Glatt WSG5 fluid bed granulator. The effect of inlet air humidity and granulation liquid feed on the temperature measurements at different locations of a fluid bed granulator system were determined. This revealed dynamic changes in the measurements and enabled finding the most optimal sites for process control. The moisture originating from the granulation liquid and inlet air affected the temperature of the mass and pressure difference over granules. Moreover, the effects of inlet air humidity and granulation liquid feed rate on granule size were evaluated and compensatory techniques used to optimize particle size. Various end-point indication techniques of drying were compared. The ∆T method, which is based on thermodynamic principles, eliminated the effects of humidity variations and resulted in the most precise estimation of the drying end-point. The influence of fluidisation behaviour on drying end-point detection was determined. The feasibility of the ∆T method and thus the similarities of end-point moisture contents were found to be dependent on the variation in fluidisation between manufacturing batches. A novel parameter that describes behaviour of material in a fluid bed was developed. Flow rate of the process air and turbine fan speed were used to calculate this parameter and it was compared to the fluidisation behaviour and the particle size results. The design space process trajectories for smooth fluidisation based on the fluidisation parameters were determined. With this design space it is possible to avoid excessive fluidisation and improper fluidisation and bed collapse. Furthermore, various process phenomena and failure modes were observed with the in-line particle size analyser. Both rapid increase and a decrease in granule size could be monitored in a timely manner. The fluidisation parameter and the pressure difference over filters were also discovered to express particle size when the granules had been formed. The various physical parameters evaluated in this thesis give valuable information of fluid bed process performance and increase the process understanding.

Stereochemical and steric control of enzymatic glucuronidation : A rational approach for the design of novel Inhibitors for the human UDP-glucuronosyltransferase 2B7

The UDP-glucuronosyltransferases (UGTs) are enzymes of the phase II metabolic system. These enzymes catalyze the transfer of α-D-glucuronic acid from UDP-glucuronic acid to aglycones bearing nucleophilic groups affording exclusively their corresponding β-D-glucuronides to render lipophilic endobiotics and xenobiotics more water soluble. This detoxification pathway aids in the urinary and biliary excretion of lipophilic compounds thus preventing their accumulation to harmful levels. The aim of this study was to investigate the effect of stereochemical and steric features of substrates on the glucuronidation catalyzed by UGTs 2B7 and 2B17. Furthermore, this study relates to the design and synthesis of novel, selective inhibitors that display high affinity for the key enzyme involved in drug glucuronidation, UGT2B7. The starting point for the development of inhibitors was to assess the influence of the stereochemistry of substrates on the UGT-catalyzed glucuronidation reaction. A set of 28 enantiomerically pure alcohols was subjected to glucuronidation assays employing the human UGT isoforms 2B7 and 2B17. Both UGT enzymes displayed high stereoselectivity, favoring the glucuronidation of the (R)-enantiomers over their respective mirror-image compounds. The spatial arrangement of the hydroxy group of the substrate determined the rate of the UGT-catalyzed reaction. However, the affinity of the enantiomeric substrates to the enzymes was not significantly influenced by the spatial orientation of the nucleophilic hydroxy group. Based on these results, a rational approach for the design of inhibitors was developed by addressing the stereochemical features of substrate molecules. Further studies showed that the rate of the enzymatic glucuronidation of substrates was also highly dependent on the steric demand in vicinity of the nucleophilic hydroxy group. These findings provided a rational approach to turn high-affinity substrates into true UGT inhibitors by addressing stereochemical and steric features of substrate molecules. The tricyclic sesquiterpenols longifolol and isolongifolol were identified as high-affinity substrates which displayed high selectivity for the UGT isoform 2B7. These compounds served therefore as lead structures for the design of potent and selective inhibitors for UGT2B7. Selective and potent inhibitors were prepared by synthetically modifying the lead compounds longifolol and isolongifolol taking stereochemical and steric features into account. The best inhibitor of UGT2B7, β-phenyllongifolol, displayed an inhibition constant of 0.91 nM.

Defining Adequate Vitamin D Intake : Cross-sectional and Intervention Studies

D-vitamiini ylläpitää normaalia luun kasvua ja uudistumista koko elämän ajan. Suomessa, kuten monissa muissakin länsimaissa, väestön D-vitamiinitilanne on riittämätön – talvisin osalla jopa puutteellinen. Tässä väitöskirjassa on tutkittu, lisääkö D-vitamiini luumassan kertymistä kasvuiässä, ja ylläpitäkö D-vitamiini luuston tasapainoista aineenvaihduntaa aikuisiällä. Nämä vaikutukset saattavat ehkäisi osteoporoosin kehittymistä eri ikäkausina. Väitöskirjatyössä tutkittiin erisuuruisten D-vitamiinilisäysten vaikutuksia kolmessa eri ikäryhmässä, jotka olivat 11-12 -vuotiaat tytöt (N=228), 21-49 -vuotiaat miehet (N=54) ja 65-85 -vuotiaat naiset (N=52). Tutkittavat satunnaistettiin ryhmiin, jotka nauttivat joko lumevalmistetta tai 5-20 µg D3-vitamiinia vitamiinilisänä. Tutkimukset olivat kaksoissokkoutettuja. Tutkimuksen aikana tutkittavilta otettiin paastoveri- ja virtsanäytteitä. Lisäksi he täyttivät tutkimuslomakkeen taustatietojen kartoittamiseksi sekä frekvenssikyselylomakkeen kalsiumin ja D-vitamiinin saannin selvittämiseksi. Tyttöjen luunmineraalitiheys (BMD) mitattiin DXA–laitteella ja miesten volumetrinen luuntiheys pQCT-menetelmällä. Näytteistä määritettiin mm. seerumin 25-hydroksi-D-vitamiinin (=S-25-OHD), lisäkilpirauhashormonin (=S-PTH) ja luun aineenvaihduntaa kuvaavien merkkiaineiden pitoisuuksia. Murrosikäisten tyttöjen poikkileikkaustutkimuksessa S-25-OHD- ja luun muodostusmerkkiaineen pitoisuudet vaihtelivat kuukausien välillä; suurimmat pitoisuudet mitattiin syyskuussa ja pienimmät maaliskuussa, mikä kuvastaa vuodenaikaisvaihtelua. Vastaava vaihtelu havaittiin lannerangan ja reisiluun BMD:ssä. D-vitamiinilisäyksellä oli myönteinen vaikutus tyttöjen luumassan lisääntymiseen. Suurin D-vitamiinilisä (10 µg/vrk) lisäsi luumassaa 17.2% enemmän reisiluussa ja 12.5% enemmän lannerangassa verrattuna lumevalmistetta nauttivien tyttöjen vastaaviin tuloksiin, mutta tulos riippui hoitomyöntyvyydestä. D-vitamiinin vaikutus luustoon välittyi vähentyneen luun hajotuksen kautta. Tutkimustuloksiin perustuen riittävä D-vitamiinin saanti murrosikäisille tytöille on 15 µg/vrk. D-vitamiinilisän vaikutus 65-85 -vuotiaiden naisten S-25-OHD-pitoisuuteen vakioitui kuudessa viikossa annoksen ollessa 5-20 µg/vrk. Näillä D-vitamiiniannoksilla ei saavutettu tavoiteltavaa S-25-OHD-pitoisuutta, joka on 80 nmol/l. Arvioimme, että 60 nmol/l -pitoisuuden, jota esiintyy kesäisin tämän ikäryhmän suomalaisilla, tämän ikäryhmän naiset saavuttaisivat 24 µg:n päivittäisellä D-vitamiinin saannilla. Terveillä miehillä havaittiin vuodenaikaisvaihtelu S-25-OHD- ja S-PTH-pitoisuudessa sekä luun hajotusta kuvaavassa merkkiainepitoisuudessa. Toisaalta vaihtelua ei havaittu radiuksen volumetrisessä luuntiheydessä eikä luun muodostusmerkkiaineen pitoisuudessa. Vuodenaikaisvaihtelu estettiin 17 µg:n päivittäisellä D-vitamiinin saannilla, mutta tämän ei havaittu vaikuttavan radiuksen luuntiheyteen kuusi kuukautta kestävän tutkimuksen aikana. Yhteenvetona todetaan, että D-vitamiinin saanti on edelleenkin riittämätöntä tutkimusten kohderyhmillä. Tämä näkyy S-25-OHD- ja PTH-pitoisuuden sekä luunaineenvaihduntaa kuvaavien merkkiaineiden vuodenaikaisvaihteluna, mikä on haitallista luuston hyvinvoinnille. D-vitamiinin saantia tulisi lisätä, jotta vähintäänkin riittävä D-vitamiinitilanne (S-25-OHD>50 nmol/l) tai mahdollisesti jopa tavoiteltava D-vitaminitilanne (S-25-OHD≥80 nmol/l) saavutettaisiin. Jotta D-vitamiinin saannin lisääminen olisi kaikissa ikäryhmissä mahdollista, on suunniteltava nykyistä enemmän D-vitamiinilla täydennettyjä elintarvikkeita.

On probability-based inference under data missing by design

Whether a statistician wants to complement a probability model for observed data with a prior distribution and carry out fully probabilistic inference, or base the inference only on the likelihood function, may be a fundamental question in theory, but in practice it may well be of less importance if the likelihood contains much more information than the prior. Maximum likelihood inference can be justified as a Gaussian approximation at the posterior mode, using flat priors. However, in situations where parametric assumptions in standard statistical models would be too rigid, more flexible model formulation, combined with fully probabilistic inference, can be achieved using hierarchical Bayesian parametrization. This work includes five articles, all of which apply probability modeling under various problems involving incomplete observation. Three of the papers apply maximum likelihood estimation and two of them hierarchical Bayesian modeling. Because maximum likelihood may be presented as a special case of Bayesian inference, but not the other way round, in the introductory part of this work we present a framework for probability-based inference using only Bayesian concepts. We also re-derive some results presented in the original articles using the toolbox equipped herein, to show that they are also justifiable under this more general framework. Here the assumption of exchangeability and de Finetti's representation theorem are applied repeatedly for justifying the use of standard parametric probability models with conditionally independent likelihood contributions. It is argued that this same reasoning can be applied also under sampling from a finite population. The main emphasis here is in probability-based inference under incomplete observation due to study design. This is illustrated using a generic two-phase cohort sampling design as an example. The alternative approaches presented for analysis of such a design are full likelihood, which utilizes all observed information, and conditional likelihood, which is restricted to a completely observed set, conditioning on the rule that generated that set. Conditional likelihood inference is also applied for a joint analysis of prevalence and incidence data, a situation subject to both left censoring and left truncation. Other topics covered are model uncertainty and causal inference using posterior predictive distributions. We formulate a non-parametric monotonic regression model for one or more covariates and a Bayesian estimation procedure, and apply the model in the context of optimal sequential treatment regimes, demonstrating that inference based on posterior predictive distributions is feasible also in this case.

Bone health and vitamin D status in children with motor disability and adults with intellectual disability

Osteoporosis is not only a disease of the elderly, but is increasingly diagnosed in chronically ill children. Children with severe motor disabilities, such as cerebral palsy (CP), have many risk factors for osteoporosis. Adults with intellectual disability (ID) are also prone to low bone mineral density (BMD) and increased fractures. This study was carried out to identify risk factors for low BMD and osteoporosis in children with severe motor disability and in adults with ID. In this study 59 children with severe motor disability, ranging in age from 5 to 16 years were evaluated. Lumbar spine BMD was measured with dual-energy x-ray absorptiometry. BMD values were corrected for bone size by calculating bone mineral apparent density (BMAD), and for bone age. The values were transformed into Z-scores by comparison with normative data. Spinal radiographs were assessed for vertebral morphology. Blood samples were obtained for biochemical parameters. Parents were requested to keep a food diary for three days. The median daily energy and nutrient intakes were calculated. Fractures were common; 17% of the children had sustained peripheral fractures and 25% had compression fractures. BMD was low in children; the median spinal BMAD Z-score was -1.0 (range -5.0 – +2.0) and the BMAD Z-score <-2.0 in 20% of the children. Low BMAD Z-score and hypercalciuria were significant risk factors for fractures. In children with motor disability, calcium intakes were sufficient, while total energy and vitamin D intakes were not. In the vitamin D intervention studies, 44 children and adolescents with severe motor disability and 138 adults with ID were studied. After baseline blood samples, the children were divided into two groups; those in the treatment group received 1000 IU peroral vitamin D3 five days a week for 10 weeks, and subjects in the control group continued with their normal diet. Adults with ID were allocated to receive either 800 IU peroral vitamin D3 daily for six months or a single intramuscular injection of 150 000 IU D3. Blood samples were obtained at baseline and after treatment. Serum concentrations of 25-OH-vitamin D (S-25-OHD) were low in all subgroups before vitamin D intervention: in almost 60% of children and in 77% of adults the S-25-OHD concentration was below 50 nmol/L, indicating vitamin D insufficiency. After vitamin D intervention, 19% of children and 42% adults who received vitamin D perorally and 12% of adults who received vitamin D intramuscularly had optimal S-25-OHD (>80 nmol/L). This study demonstrated that low BMD and peripheral and spinal fractures are common in children with severe motor disabilities. Vitamin D status was suboptimal in the majority of children with motor disability and adults with ID. Vitamin D insufficiency can be corrected with vitamin D supplements; the peroral dose should be at least 800 IU per day.

What Determines Stock Option Contract Design?

This paper analyzes factors driving the design of stock option plans for Finnish firms. We examine determinants of the scope of plans, exercise price, target group, and dividend protection. The scope is found to be negatively related to Tobin’s Q and positively related to proxies for monitoring costs. The scope is also greater in broad-based plans, and in plans with dividend protection. Prior stock return is found to be negatively related to the size of the premium (out-of-the-moneyness), whereas dividend protection increases the premium. The results also suggest that investment intensity, cash flow, and monitoring costs are associated with the likelihood of granting premium (out-of-the-money) stock options. Furthermore, the likelihood of granting broad-based plans is increasing in institutional ownership and cash flow constraints, and decreasing in firm size. Broad-based plans are also more likely among firms in growth industries. We find support that the likelihood of dividend protection is decreasing in foreign ownership. In addition, firms paying zero-dividends are less likely to include dividend protection, whereas higher unsystematic risk is associated with a greater likelihood of including dividend protection.