Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

  • 1
    Keywords: INHIBITOR ; Germany ; human ; IN-VIVO ; MODEL ; VIVO ; CLASSIFICATION ; NETWORK ; NETWORKS ; neural networks ; SUPPORT ; SYSTEM ; MICE ; TIME ; RAT ; animals ; RATS ; VECTOR ; BEHAVIOR ; support vector machines ; RE ; development ; PROFILES ; technique ; function ; EVALUATE ; COMPOUND ; in vivo ; animal ; ENGLAND ; SET ; PROFILE ; German ; ANTIDEPRESSANT ACTIVITY ; automated behavior classification ; forced swimming test ; kernel ; NEURAL-NETWORKS ; support vector machine
    Abstract: The forced swimming test of rats or mice is a frequently used behavioral test to evaluate compounds for antidepressant activity in vivo. The aim of this study was to replace the human observer, needed to score and analyze the behavior of animals, by a fully automated method. For this purpose, in a first step from a video recording of each rat, an activity profile was calculated, from which subsequently a set of meaningful properties was extracted. This set was finally used to train a Support Vector Machine (SVM). Furthermore, specialized kernel functions, namely the so-called time resolved p-spectrum and modified optimal assignment kernels, were developed to calculate the similarity of activity profiles. Our method allows for a very reliable discrimination of animals treated with antidepressants of different classes (tricyclics imipramine and desipramine as well as selective serotonin reuptake inhibitor, SSRI, fluoxetine) versus a vehicle-treated group. Moreover, our technique is able to classify between tricyclic antidepressants and SSRIs. The results of this work enabled the development of an automated and highly accurate behavior classification system. (c) 2007 Elsevier Ltd. All rights reserved
    Type of Publication: Journal article published
    PubMed ID: 18158234
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    ISSN: 1432-0827
    Keywords: Key words: Genetics — Osteoporosis — Quantitative ultrasound — Alpha-2-HS glycoprotein — Polymorphism.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine , Physics
    Notes: Abstract. Calcaneal broadband ultrasound attenuation (BUA) is an independent predictor of hip and vertebral fractures. BUA is under genetic control, but the specific genes contributing to BUA are not well defined. We examined the relationship between genetic variation in α2HS-glycoprotein (AHSG), an abundant noncollagenous protein of bone matrix, and calcaneal BUA. Genetic polymorphism in AHSG was determined in 222 Caucasian women (age 66–92) enrolled in the Pittsburgh Study of Osteoporotic Fractures clinical center by isoelectric focusing of serum samples. Calcaneal BUA and bone mineral density (BMD) were measured on the same foot with a Walker Sonix UBA 575+ and single X-ray absorptiometry. Hip and spine BMD were determined with a Hologic QDR-1000 densitometer using dual-energy X-ray absorptiometry. AHSG polymorphism was not significantly related to hip, lumbar spine, or calcaneal BMD. Compared with the homozygous AHSG*2 women, calcaneal BUA was 13% lower in heterozygous (P 〈 0.05) and 16% lower in homozygous AHSG*1 women (P 〈 0.05). This relationship persisted after controlling for age, weight, height, walks for exercise, and calcaneal BMD. Current and self-reported height were also lowest in homozygous AHSG*1 women, intermediate in heterozygous women, and highest among homozygous AHSG*2 subjects. These results suggest that the AHSG polymorphism may contribute to the genetic influence on calcaneal BUA and stature.
    Type of Medium: Electronic Resource
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...