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Vigdis T. Gautvik

Researcher at University of Oslo

Publications -  30
Citations -  4383

Vigdis T. Gautvik is an academic researcher from University of Oslo. The author has contributed to research in topics: Parathyroid hormone & Osteoporosis. The author has an hindex of 16, co-authored 28 publications receiving 4064 citations. Previous affiliations of Vigdis T. Gautvik include Oslo University Hospital.

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The hypocretins: Hypothalamus-specific peptides with neuroexcitatory activity

TL;DR: A hypothalamus-specific mRNA is described that encodes preprohypocretin, the putative precursor of a pair of peptides that share substantial amino acid identities with the gut hormone secretin, suggesting that the hypocretins function within the CNS as neurotransmitters.
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Eight genes are highly associated with BMD variation in postmenopausal Caucasian women

TL;DR: The transcriptional changes in 84 trans-iliacal bone biopsies associated with BMD variations in postmenopausal females, aiming to identify genetic determinants of bone structure, provide novel insight in the underlying biology of bone metabolism and osteoporosis which is the ultimate consequence of low BMD.
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Methylation of Bone SOST , its mRNA, and Serum Sclerostin Levels Correlate Strongly With Fracture Risk in Postmenopausal Women

TL;DR: The observations suggest that increased SOST promoter methylation seen in OP is a compensatory counteracting mechanism, which lowers serum sclerostin concentrations and reduces inhibition of Wnt signaling in an attempt to promote bone formation.
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Osteopenia, decreased bone formation and impaired osteoblast development in Sox4 heterozygous mice.

TL;DR: The results implicate the transcription factor Sox4 in regulation of bone formation, by acting upstream of Osx and independent of Runx2, and demonstrate inhibited formation and altered microarchitecture of bone in Sox4+/– mice versus WT, without apparent defects in bone resorption.
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Molecular disease map of bone characterizing the postmenopausal osteoporosis phenotype

TL;DR: The results identify potential osteoporosis susceptibility candidate genes adjusted for confounding factors (ie, age and BMI) with or without a significant correlation with BMD.