Publications by authors named "J Sulc"
Article Synopsis
- Biological aging involves a gradual loss of homeostasis in molecular and cellular functions, particularly in the brain, which contains diverse cell types that differ in their aging resilience.
- This study offers an extensive single-cell RNA sequencing dataset of approximately 1.2 million transcriptomes from brain cells in young and aged mice, identifying 847 cell clusters and 14 age-biased clusters predominantly involving glial types.
- Key findings reveal specific gene expression changes with aging, including decreased neuronal function genes and increased immune-related genes, particularly in cells around the third ventricle of the hypothalamus, suggesting its critical role in the aging process of the mouse brain.
Lifespan is influenced by complex interactions between genetic and environmental factors. Studying those factors in model organisms of a single genetic background limits their translational value for humans. Here, we mapped lifespan determinants in 85 C.
View Article and Find Full Text PDFWe report on the first, to our knowledge, room-temperature continuous-wave laser operation of Tm,Ho-codoped barium and strontium fluoride crystals at ∼2.1 µm. The 3 at.
View Article and Find Full Text PDFBackground & Aims: Recent findings reveal the importance of tryptophan-initiated de novo nicotinamide adenine dinucleotide (NAD) synthesis in the liver, a process previously considered secondary to biosynthesis from nicotinamide. The enzyme α-amino-β-carboxymuconate-ε-semialdehyde decarboxylase (ACMSD), primarily expressed in the liver and kidney, acts as a modulator of de novo NAD synthesis. Boosting NAD levels has previously demonstrated remarkable metabolic benefits in mouse models.
View Article and Find Full Text PDFArticle Synopsis
- The susceptibility to metabolic syndrome (MetS) is influenced by genetic and environmental factors, complicating the study of its mechanisms.
- A new metabolic health score (MHS) was developed to assess metabolic health based on clinical parameters, which shows an association with MetS and predicts future disease risk.
- The research identified two genetic loci linked to MHS in mice and suggested TNKS and MCPH1 as potential regulators, enhancing understanding of metabolic health across different species.