Psychosocial aspects of androgenetic alopecia

The main objective of the studies described in this thesis is to study the psychosocial problems of men and women with androgenetic alopecia who applied for treatment. In chapter 2, the psychological characteristics of 59 men with androgenetic alopecia from a sample of the general population were compared with those of men without androgenetic alopecia and a group of men with androgenetic alopecia from a clinical population. Chapter 3 is devoted to a study at the psychological characteristics of a group of men with androgenetic alopecia who participated in a clinical triaL The questions are: I. Do men with androgenetic alopecia who apply for treatment have unfavourable personality traits and specific hair problems?, 2. Does subjectively perceived regrowth of hair lead to an improvement in social and psychological well being and a reduction in hair problems? and 3. ls the effect of perceived hair regrowth larger in younger than in older men? The study described in chapter 4 is devoted to research at the psychological and social problems of women with androgenetic alopecia. The outcome is compared with two control groups; women with nonvisible dermatological disorders and men with androgenetic alopecia from a clinical population. Chapter 5 describes additional investigations into the characteristics and the level of psychological problems in women with androgenetic alopecia and their adaptation to their hair loss. The study questions are: I. What problems exist in various life areas in the women with androgenetic alopecia who applied for treatment? and 2. How many women with androgenetic alopecia show general psychosocial maladjustment which is attributable to androgenetic alopecia

Minimum Information about a Biosynthetic Gene cluster

A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.Chemistry and Chemical Biolog

Isolation of targeting nanobodies against co-opted tumor vasculature.

Contains fulltext : 87890.pdf (publisher's version ) (Closed access)Tumor vasculature is in general highly heterogeneous. This characteristic is most prominent in high-grade gliomas, which present with areas of angiogenic growth, next to large areas of diffuse infiltrative growth in which tumor cells thrive on pre-existent brain vasculature. This limits the effectiveness of anti-angiogenic compounds as these will not affect more matured and co-opted vessels. Therefore, additional destruction of existing tumor vasculature may be a promising alternative avenue to effectively deprive tumors from blood. This approach requires the identification of novel tumor vascular targeting agents, which have broad tumor vessel specificities, ie are not restricted to newly formed vessels. Here, we describe the generation of a phage library displaying nanobodies that were cloned from lymphocytes of a Llama which had been immunized with clinical glioma tissue. In vivo biopanning with this library in the orthotopic glioma xenograft models E98 and E434 resulted in the selection of various nanobodies which specifically recognized glioma vessels in corresponding glioma xenografts. Importantly, also nanobodies were isolated which discriminated incorporated pre-existent vessels in highly infiltrative cerebral E434 xenografts from normal brain vessels. Our results suggest that the generation of nanobody-displaying immune phage libraries and subsequent in vivo biopanning in appropriate animal models is a promising approach for the identification of novel vascular targeting agents.1 januari 201

Minimum Information about a Biosynthetic Gene cluster

© 2015 Nature America, Inc. All rights reserved. A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard