Plant root carbon inputs drive methane production in tropical peatlands.

Tropical peatlands are carbon-dense ecosystems that are significant sources of atmospheric methane (CH). Recent work has demonstrated the importance of trees as an emission pathway for CH from the peat to the atmosphere. However, there remain questions over the processes of CH production in these systems and how they relate to substrate supply.

Sleep macro-architecture and dementia risk in adults: Meta-analysis of 5 cohorts from the Sleep and Dementia Consortium.

Study Objectives: Poor sleep may play a role in the risk of dementia. However, few studies have investigated the association between polysomnography (PSG)-derived sleep architecture and dementia incidence. We examined the relationship between sleep macro-architecture and dementia incidence across five US-based cohort studies from the Sleep and Dementia Consortium (SDC).

Mid-life anti-inflammatory metabolites are inversely associated with long-term cardiovascular disease events.

Background: Preclinical data have shown that low levels of metabolites with anti-inflammatory properties may impact metabolic disease processes. However, the association between mid-life levels of such metabolites and long-term ASCVD risk is not known.

Methods: We characterised the plasma metabolomic profile (1228 metabolites) of 1852 participants (58.

Contemporary Perspectives in Critical Care of Neuroleptic Malignant Syndrome.

Background: Neuroleptic malignant syndrome (NMS) is a psychiatric-neurologic emergency that may require intensive care management. There is a paucity of information about NMS as a critical illness. We reviewed the Mayo Clinic experience.

Stratification of Alzheimer's Disease Patients Using Knowledge-Guided Unsupervised Latent Factor Clustering with Electronic Health Record Data.

Background: People with Alzheimer's disease (AD) exhibit varying clinical trajectories. There is a need to predict future AD-related outcomes such as morbidity and mortality using clinical profile at the point of care.

Objective: To stratify AD patients based on baseline clinical profiles (up to two years prior to AD diagnosis) and update the model after AD diagnosis to prognosticate future AD-related outcomes.