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result(s) for
"Hansen, Søren Nygaard"
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Semantic text mining in early drug discovery for type 2 diabetes
by
Hansson, Lena K.
,
Jensen, Jan Nygaard
,
Jensen, Thomas Skøt
in
Biology and Life Sciences
,
Computer and Information Sciences
,
Data mining
2020
We extracted over 7 million n-grams from PubMed abstracts and then clustered around 240,000 linked to T2D into almost 50,000 T2D relevant 'semantic concepts'. To score papers, we weighted the concepts based on co-mentioning with core T2D proteins. A protein's T2D relevance was determined by combining the scores of the papers mentioning it in the five preceding years. Each week all proteins were ranked according to their T2D relevance. Furthermore, the historical distribution of changes in rank from one week to the next was used to calculate the significance of a change in rank by T2D relevance for each protein. We show that T2D relevant papers, even those not mentioning T2D explicitly, were prioritised by relevant semantic concepts. Well known T2D proteins were therefore enriched among the top scoring proteins. Our 'high jumpers' identified important past developments in the apprehension of how certain key proteins relate to T2D, indicating that our method will make us aware of future breakthroughs. In summary, this project facilitated keeping up with current T2D research by repeatedly providing short lists of potential novel targets into our early drug discovery pipeline.
Journal Article
The effect of air quality on sleep and cognitive performance in school children aged 10–12 years: a double-blinded, placebo-controlled, crossover trial
by
Kjærgaard, Søren K.
,
Schlünssen, Vivi
,
Zachariae, Robert
in
Air cleanliness
,
Air pollution
,
Air Pollution, Indoor - adverse effects
2023
To investigate the effect of CO
during sleep on next-morning cognitive performance in young schoolchildren, the authors performed a double-blind fully balanced crossover placebo-controlled study.
The authors included 36 children aged 10-12 years in the climate chamber. The children slept at 21°C in 6 groups each at 3 different conditions separated by 7 days in a random order. Conditions were as follows: high ventilation with CO
at 700 ppm, high ventilation with added pure CO
at 2000-3000 ppm, and reduced ventilation with CO
at 2-3000 ppm and bioeffluents. Children were subjected to a digital cognitive test battery (CANTAB) in the evening prior to sleep and on the next morning after breakfast. Sleep quality was monitored with wrist actigraphs.
There were no significant exposure effects on cognitive performance. Sleep efficiency was significantly lower at high ventilation with CO
at 700 ppm which is considered to be a chance effect. No other effects were seen, and no relation between air quality during sleep and next-morning cognitive performance was observed in the children emitting an estimated 10 l
/h per child.
No effect of CO
during sleep was found on next day cognition. The children were awakened in the morning, and spent from 45-70 min in well-ventilated rooms before they were tested. Hence, it cannot be precluded that the children have benefitted from the good indoor air quality conditions before and during the testing period. The slightly better sleep efficiency during high CO
concentrations might be a chance finding. Hence, replication is needed in actual bedrooms controlling for other external factors before any generalizations can be made. Int J Occup Med Environ Health. 2023;36(2):177-91.
Journal Article
Soluble SorCS1 binds the insulin receptor to enhance insulin sensitivity
by
Andersen, Olav M
,
Anette Marianne Prior Gjessing
,
Wellner, Niels
in
Adipose tissue
,
Affinity
,
AKT protein
2022
Type 2 diabetes has reached endemic proportions and is a substantial burden for the affected patients and the society. Along with lifestyle factors, a number of genetic loci predisposing to type 2 diabetes have been identified, including SORCS1 that encodes the transmembrane receptor SorCS1. The ectodomain of SorCS1 (sol-SorCS1) is shed from plasma membranes but the biological function of this fragment is unknown. Here we show that sol-SorCS1 acts as a high-affinity binding partner for the insulin receptor to stabilize the receptor and increase insulin affinity, protein kinase B activation, and glucose uptake in myocytes. Sol-SorCS1 is liberated from adipocytes, and in diabetic patients the plasma concentration positively correlates with body mass index, but inversely with plasma glucose. In mouse models of insulin resistance, exogenous sol-SorCS1 restored insulin sensitivity. We conclude that sol-SorCS1 increases peripheral insulin sensitivity and propose sol-SorCS1 as a novel insulin sensitizing adipokine and potential antidiabetic agent. Competing Interest Statement MFK, KMP, AN holds patents.