Small ribosomal-subunit RNA and the phylogeny of Mollusca

We determined the complete sequence of the small ribosomal subunit RNA of the pulmonate snail Onchidella celtica. This sequence and the one recently determined for the chiton Acanthopleura japonica were added to an alignment of 25 18S rRNA sequences of Metazoa, including three other Mollusca. The data set was used to assess certain aspects of molluscan phylogeny by distance matrix and character state methods. The trees obtained were tested for effects of random and systematic errors. The results of our analyses support: (a) molluscan monophyly; (b) gastropod monophyly; (c) bivalve monophyly; (d) a sister group relationship of Gastropoda and Polyplacophora. The position of the phylum among other Metazoa remains uncertain due to a lack of representatives of many invertebrate phyla in our data set. Most of our results are congruent with existing hypotheses

Activation of apoptotic pathways in experimental acute afterload-induced right ventricular failure

Objective: The pathobiology of persistent right ventricular failure observed after an acute increase in right ventricular afterload remains incompletely understood. We hypothesized that persistent right ventricular dysfunction might be related to activation of apoptotic pathways. Design: Prospective, randomized, controlled animal study. Setting: University research laboratory. Subjects: Mongrel dogs. Interventions: Fourteen anesthetized dogs were randomized to a transient 90-min pulmonary artery constriction operation to induce persistent right ventricular failure or to a sham operation followed 30 mins later by hemodynamic measurements and sampling of cardiac tissue. Measurements and main results: We evaluated effective arterial elastance to estimate right ventricular afterload and end-systolic elastance to estimate right ventricular contractility. Transient increase in pulmonary artery pressure persistently increased effective arterial elastance from 0.75 ± 0.08 to 1.37 ± 0.18 mm Hg/mL and decreased end-systolic elastance from 1.06 ± 0.09 to 0.49 ± 0.09 mm Hg/mL, end-systolic elastance/effective arterial elastance from 1.44 ± 0.06 to 0.34 ± 0.03, and cardiac output from 3.78 ± 0.16 to 1.46 ± 0.10 L/min, indicating right ventricular failure. At the pathobiologic level, we assessed apoptosis by real-time quantitative polymerase chain reaction, Western blotting, enzyme-linked immunosorbent assay, and immunohistochemistry. As compared with the sham-operated group, and with the left ventricle in animals with persistent right ventricular failure, there were decreased right ventricular and septal expressions of Bcl-2 with no changes in expressions of Bax, resulting in an increased Bax/Bcl-2 ratio. Right ventricular and septal Bcl-XL, and right ventricular Bcl-w gene expressions were decreased as compared with the sham-operated group, whereas Bak gene expression did not change. There were activations of right ventricular caspases-8 and-9 and of right ventricular and septal caspase-3. Diffuse right ventricular and septal apoptosis was confirmed by terminal deoxynucleotidyl transferase dUTP nick-end labeling staining. There were also increased right ventricular and septal protein expressions of tumor necrosis factor-alpha. Conclusions: Acute afterload-induced persistent right ventricular failure appears to be related to an early activation of apoptotic pathways and to a local overexpression of tumor necrosis factor-alpha, a proinflammatory cytokine. Copyright © 2010 by the Society of Critical Care Medicine and Lippincott Williams & Wilkins.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Hallmarks of neurodegenerative diseases

Decades of research have identified genetic factors and biochemical pathways involved in neurodegenerative diseases (NDDs). We present evidence for the following eight hallmarks of NDD: pathological protein aggregation, synaptic and neuronal network dysfunction, aberrant proteostasis, cytoskeletal abnormalities, altered energy homeostasis, DNA and RNA defects, inflammation, and neuronal cell death. We describe the hallmarks, their biomarkers, and their interactions as a framework to study NDDs using a holistic approach. The framework can serve as a basis for defining pathogenic mechanisms, categorizing different NDDs based on their primary hallmarks, stratifying patients within a specific NDD, and designing multi-targeted, personalized therapies to effectively halt NDDs

Bilateral exostoses of the internal auditory canal

A 54-year-old female patient presented to her physician with a 3-year-old history of bilateral tinnitus and hearing loss. She also complained of paresthesia in the periauricular area. There were no episodes of imbalance or vertigo

Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: a systematic review

Introduction: Artificial intelligence (AI) and neuroimaging offer new opportunities for diagnosis and prognosis of dementia. Methods: We systematically reviewed studies reporting AI for neuroimaging in diagnosis and/or prognosis of cognitive neurodegenerative diseases. Results: A total of 255 studies were identified. Most studies relied on the Alzheimer's Disease Neuroimaging Initiative dataset. Algorithmic classifiers were the most commonly used AI method (48%) and discriminative models performed best for differentiating Alzheimer's disease from controls. The accuracy of algorithms varied with the patient cohort, imaging modalities, and stratifiers used. Few studies performed validation in an independent cohort. Discussion: The literature has several methodological limitations including lack of sufficient algorithm development descriptions and standard definitions. We make recommendations to improve model validation including addressing key clinical questions, providing sufficient description of AI methods and validating findings in independent datasets. Collaborative approaches between experts in AI and medicine will help achieve the promising potential of AI tools in practice. Highlights: There has been a rapid expansion in the use of machine learning for diagnosis and prognosis in neurodegenerative disease Most studies (71%) relied on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset with no other individual dataset used more than five times There has been a recent rise in the use of more complex discriminative models (e.g., neural networks) that performed better than other classifiers for classification of AD vs healthy controls We make recommendations to address methodological considerations, addressing key clinical questions, and validation We also make recommendations for the field more broadly to standardize outcome measures, address gaps in the literature, and monitor sources of bias