Identification of gene networks jointly associated with depressive symptoms and cardiovascular health metrics using whole blood transcriptome in the Young Finns Study

Front Psychiatry. 2024 Apr 25;15:1345159. doi: 10.3389/fpsyt.2024.1345159. eCollection 2024. ABSTRACT BACKGROUND: Studies have shown that cardiovascular health (CVH) is related to depression. We aimed to identify gene networks jointly associated with depressive symptoms and cardiovascular health metrics using the whole blood transcriptome. MATERIALS AND METHODS: We analyzed human blood transcriptomic…

Distinct cellular immune responses in children en route to type 1 diabetes with different first-appearing autoantibodies

Nat Commun. 2024 May 7;15(1):3810. doi: 10.1038/s41467-024-47918-w. ABSTRACT Previous studies have revealed heterogeneity in the progression to clinical type 1 diabetes in children who develop islet-specific antibodies either to insulin (IAA) or glutamic acid decarboxylase (GADA) as the first autoantibodies. Here, we test the hypothesis that children who later develop…

Changes in Accelerometer-Measured Physical Activity and Sedentary Time Across Retirement Transition as a Predictor of Self-Rated Health

J Phys Act Health. 2024 May 2:1-9. doi: 10.1123/jpah.2023-0558. Online ahead of print. ABSTRACT BACKGROUND: Retirement transition has been shown to associate with changes in physical activity (PA) and self-rated health (SRH), but their interrelationship is less studied. The aim was to investigate changes in accelerometer-measured total PA, moderate to…

sFlt-1 Impairs Neurite Growth and Neuronal Differentiation in SH-SY5Y Cells and Human Neurons

Biosci Rep. 2024 May 3:BSR20240562. doi: 10.1042/BSR20240562. Online ahead of print. ABSTRACT Pre-eclampsia (PE) is a hypertensive disorder of pregnancy which is associated with increased risk of neurodevelopmental disorders in exposed offspring. The pathophysiological mechanisms mediating this relationship are currently unknown, and one potential candidate is the anti-angiogenic factor soluble…

Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data

BMC Med Inform Decis Mak. 2024 May 2;24(1):116. doi: 10.1186/s12911-024-02521-3. ABSTRACT BACKGROUND: Machine learning (ML) classifiers are increasingly used for predicting cardiovascular disease (CVD) and related risk factors using omics data, although these outcomes often exhibit categorical nature and class imbalances. However, little is known about which ML classifier, omics…

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Nat Genet. 2024 Apr 30. doi: 10.1038/s41588-024-01714-w. Online ahead of print. ABSTRACT Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10-8) from the largest single-stage blood pressure (BP) genome-wide association study to…

Association between anti-capsular IgG levels at birth and risk of invasive group B streptococcus disease in Finnish newborns: a retrospective case-control study

Lancet Microbe. 2024 Apr 25:S2666-5247(24)00038-7. doi: 10.1016/S2666-5247(24)00038-7. Online ahead of print. ABSTRACT BACKGROUND: Group B streptococcus is a major cause of neonatal disease. Natural history studies have linked maternally transferred anti-group B streptococcus capsular polysaccharide antibodies with protection against infant group B streptococcus disease. Previous studies of capsular polysaccharide antibody…

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