A transcription network underlies the dual genomic coordination of mitochondrial biogenesis.

Mitochondrial biogenesis requires the expression of genes encoded by both the nuclear and mitochondrial genomes. However, aside from a handful transcription factors regulating specific subsets of mitochondrial genes, the overall architecture of the transcriptional control of mitochondrial biogenesis remains to be elucidated. The mechanisms coordinating these two genomes are largely unknown.

Assessing the Risk of Kidney Stone Development in Patients With Idiopathic Intracranial Hypertension Treated With Carbonic Anhydrase Inhibitors.

Background: The prevalence of idiopathic intracranial hypertension (IIH) is rising with the global obesity epidemic. Carbonic anhydrase inhibitors (CAIs), such as acetazolamide, have been shown to be effective in IIH but can also lead to kidney stone formation. This study evaluates the risk of kidney stone development in patients with IIH treated with CAIs.

Impact of maternal antenatal nutrition and infection treatment interventions on Longitudinal Infant Development and Growth in rural Ethiopia: protocol of the LIDG child follow-up study.

Introduction: Maternal undernutrition and inflammation in utero may significantly impact the neurodevelopmental potential of offspring. However, few studies have investigated the effects of pregnancy interventions on long-term child growth and development. This study will examine the effects of prenatal nutrition and infection management interventions on long-term growth and neurodevelopmental outcomes of offspring.

Testing a signal-processing image analysis technology in hospital on suspicious pigmented naevi referred for biopsy.

Four versions of the novel Moletest on-device signal-processing analysis software, delivered on a single-application iPadPro11, were evaluated in pigmented skin lesions of patients sent for biopsy comparing its results with the lesion histology. The primary objective was to demonstrate that the nomela test provided at least 95 ± 2% sensitivity for not-melanoma. Proprietary software recognised the lesion perimeter, rejecting images with uncertain border, and performed analysis using non-scalar metrics of the image within the perimeter.