Iron deficiency and infection risk in Danish blood donors.

Background: We aimed to investigate if iron deficiency was associated with infection susceptibility in a large cohort of healthy individuals.

Study Design And Methods: The Danish Blood Donor Study is a national ongoing prospective study of blood donors. We included 94,628 donors with 338,290 ferritin measurements from March 2010 to October 2022.

40 Hz Visual Stimulation During Sleep Evokes Neuronal Gamma Activity in NREM and REM Stages.

Study Objectives: Visual stimulation at 40 Hz is being tested as a non-invasive approach against dementias such as Alzheimer's disease. Applying it during sleep could increase convenience, duration, and efficacy of stimulation. Here, we tested the feasibility of 40 Hz visual stimulation during sleep in a proof-of-concept study.

Novel loci and biomedical consequences of iron homoeostasis variation.

Iron homoeostasis is tightly regulated, with hepcidin and soluble transferrin receptor (sTfR) playing significant roles. However, the genetic determinants of these traits and the biomedical consequences of iron homoeostasis variation are unclear. In a meta-analysis of 12 cohorts involving 91,675 participants, we found 43 genomic loci associated with either hepcidin or sTfR concentration, of which 15 previously unreported.

Expression of JAK/STAT signalling in bullous pemphigoid.

In the present study, we characterise the expression of JAK/STAT signalling in Bullous Pemphigoid (BP). Punch biopsy specimens of normal skin, lesional and perilesional skin of patients diagnosed with biopsy proven BP were utilised for immunoperoxidase labelling with commercially available antibodies for Phosphorylated STAT 1,2,3,5A and 6 (Genesearch, USA). Quantitative analysis demonstrated that in comparison to normal skin, phosphorylated STAT 2, 3, 5A and 6 were overexpressed in BP.

A deep learning approach to prediction of blood group antigens from genomic data.

Background: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening array genotyping platforms.

Methods: Combining existing blood types from blood banks and imputed screening array genotypes for ~111,000 Danish and 1168 Finnish blood donors, we used deep learning techniques to train and validate blood type prediction models for 36 antigens in 15 blood group systems.