3,005 research outputs found

    The in vitro and in vivo effects of human growth hormone administration on tumor growth of rats bearing a transplantable rat pituitary tumor (7315b)

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    Abstract The direct effects of human GH and IGF-I on PRL secretion and cell proliferation were studied on PRL secreting rat pituitary tumor 7315b cells in vitro, as well as the effects in vivo of human GH administration on body weight, IGF-I levels and tumor size in rats bearing this transplantable tumor. In the in vitro studies IGF-I levels above 5 nM stimulated PRL release in a dose-dependent manner while GH, in concentrations of 0.23–45 nM, did not affect PRL release. Cell proliferation was stimulated by IGF-I in a dose-dependent manner from 0.5 nM onwards, while GH did not have an effect. The in vivo studies showed that 1 mg GH/rat/day prevented tumor-induced cachexia and normalized the suppressed IGF-I levels without stimulating tumor growth. It is concluded that tumor-induced cachexia can be prevented by exogenous GH administration without an increase in tumor mass, even if a tumor model is used whose cultured tumor cells respond to exposure to IGF-I with a mitotic response

    Genome scanning of breast cancers by two-dimensional DNA typing.

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    We have recently used two-dimensional DNA typing to detect genetic alterations in breast tumours. This method, which is based on size separation in neutral gels and sequence separation in denaturing gradient gels followed by hybridisation analysis with mini- and microsatellite core probes, allows the simultaneous analysis of hundreds of allelic fragments in a very short time. Here we demonstrate the potency of this method for total genome scanning of the tumour genome by analysing a small series of breast cancers. Comparison of tumour and normal DNA from ten breast cancer patients, using two-dimensional DNA typing with four core probes, revealed a considerable number of genomic alterations. In contrast, with Southern blot analysis only a few alterations were observed using the same probes. Most of the changes observed (74%) were deletions (absence of spots in the tumour) while 20% corresponded to amplifications (spots of higher intensity in the tumour) and 5% were new spots (gains). About 10% of the genomic changes detected appeared to occur in the tumours of more than one patient

    ΠžΠΏΡ‹Ρ‚ примСнСния ΠΊΡ€ΠΈΠΎΡ…ΠΈΡ€ΡƒΡ€Π³ΠΈΠΈ Π² Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΈΠΈ

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    ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ примСнСния Π½ΠΈΠ·ΠΊΠΈΡ… Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€ для лСчСния ряда гинСкологичСских Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΈ обоснована Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ внСдрСния ΠΊΡ€ΠΈΠΎΠ³Π΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° лСчСния Π² ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ.The results of low temperature application in treatment of a number of gynecological diseases are presented, the necessity of wide introduction of cryogenic treatment into clinical practice is substantiated

    Linkage analysis and whole exome sequencing identify a novel candidate gene in a Dutch multiple sclerosis family

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    Background: Multiple sclerosis (MS) is a complex disease resulting from the joint effect of many genes. It has been speculated that rare variants might explain part of the missing heritability of MS. Objective: To identify rare coding genetic variants by analyzing a large MS pedigree with 11 affected individuals in several generations. Methods: Genome-wide linkage screen and whole exome sequencing (WES) were performed to identify novel coding variants in the shared region(s) and in the known 110 MS risk loci. The candidate variants were then assessed in 591 MS patients and 3169 controls. Results: Suggestive evidence for linkage was obtained to 7q11.22-q11.23. In WES data, a rare missense variant p.R183C in FKBP6 was identified that segregated with the disease in this family. The minor allele frequency was higher in an independent cohort of MS patients than in healthy controls (1.27% vs 0.95%), but not significant (odds ratio (OR) = 1.33 (95% confidence interval (CI): 0.8–2.4), p = 0.31). Conclusion: The rare missense variant in FKBP6 was identified in a large Dutch MS family segregating with the disease. This association to MS was not found in an independent MS cohort. Overall, genome-wide studies in larger cohorts are needed to adequately investigate the role of rare variants in MS risk

    The contribution of hip geometry to the prediction of hip osteoarthritis

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    SummaryObjectiveTo determine how well measures of hip geometry can predict radiological incident hip osteoarthritis (HOA) compared to well known clinical risk factors.DesignThe study population is part of the Rotterdam Study, a prospective population-based cohort. Baseline pelvic radiographs were used to measure hip geometry by two methods: Statistical Shape Models (SSM) and predefined geometry parameters (PGPs). Incident HOA (Kellgren and Lawrence (KL)Β β‰₯Β 2) was assessed in 688 participants after 6.5 years without radiographic HOA at baseline. The ability to predict HOA was quantified using the area under the Receiver Operating Characteristics (ROC) curve (AUC).ResultsComparison of the two methods showed that both contain information that is not captured by the other method. At 6.5 years follow-up 132 hips had incident HOA. Five PGPs (Wiberg angle, Neck Width (NW), Pelvic Width (PW), Hip Axis Length (HAL) and Triangular Index (TI)) and two SSM (modes 5 and 9) were significant predictors of HOA (PΒ =Β 0.007). Hip geometry added 7% to the prediction obtained by clinical risk factors (AUCΒ =Β 0.67 (geometry), 0.66 (gender, age, Body Mass Index (BMI)) and combining both: AUCΒ =Β 0.73, respectively). Mode 12 (associated with position of the femoral head in acetabulum) and Wiberg angle were predictors of HOA in participants without radiological signs at baseline (KLΒ =Β 0). Although the strength of the prediction decreased for all variables at a longer follow-up, the contribution of hip geometry was still significant (P = 0.01).ConclusionsHip geometry has a moderate ability to predict HOA in participants with and without initial signs of osteoarthritis (OA), similar to and largely independent of the predictive value of clinical risk factors
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