Population Genomics Reveals Local Adaptation Related to Temperature Variation in Two Stream Frog Species: Implications for Vulnerability to Climate Warming.

Identifying populations at highest risk from climate change is a critical component of conservation efforts. However, vulnerability assessments are usually applied at the species level, even though intraspecific variation in exposure, sensitivity and adaptive capacity play a crucial role in determining vulnerability. Genomic data can inform intraspecific vulnerability by identifying signatures of local adaptation that reflect population-level variation in sensitivity and adaptive capacity.

Symptom Evolution in Individuals with Ongoing Symptomatic COVID-19 and Post COVID-19 Syndrome After SARS-CoV-2 Vaccination Versus Influenza Vaccination.

Background: COVID-19 symptoms may persist beyond acute SARS-CoV-2 infection, as ongoing symptomatic COVID-19 [OSC] (symptom duration 4-12 weeks) and post-COVID syndrome [PCS] (symptom duration ≥12 weeks). Vaccination against SARS-CoV-2 decreases OSC/PCS in individuals subsequently infected with SARS-CoV-2 post-vaccination. Whether vaccination against SARS-CoV-2, or any other vaccinations (such as against influenza) affects symptoms in individuals already experiencing OSC/PCS, more than natural symptom evolution, is unknown.

Desmoplakin Cardiomyopathy: Role of Inflammation and Potential Role of Disease-Modifying Therapies.

Purpose Of Review: To summarize the available data on the use of immunosuppression therapies for the management of hot phases of disease and recurrent myocarditis in patients with desmoplakin cardiomyopathy (DSP-CMP).

Recent Findings: Occurrence of myocarditis episodes has been associated with worsening of outcomes in DSP-CMP. Multiple case reports and small case series have described potential benefit in using anti-inflammatory and immunosuppressive medications for the treatment of those episodes.

Galantamine-Memantine Combination in the Treatment of Parkinson's Disease Dementia.

Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects over 1% of population over age 60. It is defined by motor and nonmotor symptoms including a spectrum of cognitive impairments known as Parkinson's disease dementia (PDD). Currently, the only US Food and Drug Administration-approved treatment for PDD is rivastigmine, which inhibits acetylcholinesterase and butyrylcholinesterase increasing the level of acetylcholine in the brain.

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Background: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given the high frequency and time-dependency of their use and other factors affecting FO. We sought to employ unsupervised machine learning methods to uncover medication administration patterns correlating with FO.