Global White Matter Hypoperfusion on CT Predicts Larger Infarcts and Hemorrhagic Transformation after Acute Ischemia.

Introduction: Presence of white matter hyperintensity (WMH) on MRI is a marker of cerebral small vessel disease and is associated with increased small vessel stroke and increased risk of hemorrhagic transformation (HT) after thrombolysis.

Aim: We sought to determine whether white matter hypoperfusion (WMHP) on perfusion CT (CTP) was related to WMH, and if WMHP predisposed to acute lacunar stroke subtype and HT after thrombolysis.

Methods: Acute ischemic stroke patients within 12 h of symptom onset at 2 centers were prospectively recruited between 2011 and 2013 for the International Stroke Perfusion Imaging Registry.

Early expression of mannose-binding lectin 2 during Aspergillus fumigatus infection in human corneal epithelial cells.

Aim: To evaluate the early expression of mannose-binding lectin 2 (MBL2) in human corneal epithelial cells (HCECs) infected by Aspergillus fumigatus (AF).

Methods: HCECs cultured in vitro with AF antigens and sampled at 0, 0.5, 1, 2, 4, 6 and 8h.

pParse: a method for accurate determination of monoisotopic peaks in high-resolution mass spectra.

Determining the monoisotopic peak of a precursor is a first step in interpreting mass spectra, which is basic but non-trivial. The reason is that in the isolation window of a precursor, other peaks interfere with the determination of the monoisotopic peak, leading to wrong mass-to-charge ratio or charge state. Here we propose a method, named pParse, to export the most probable monoisotopic peaks for precursors, including co-eluted precursors.

Design of the CHina Epidemiology Research in Subarachnoid Haemorrhage (CHERISH) study.

Rationale: Limited epidemiological data exist on subarachnoid haemorrhage (SAH) in China. Effective prevention requires knowledge of the rates and risk factors for SAH the most lethal type of stroke that most often affects younger adults. We report the methods and the initial experience of a new study to address this deficiency.

pFind 2.0: a software package for peptide and protein identification via tandem mass spectrometry.

This paper describes the pFind 2.0 software package for peptide and protein identification via tandem mass spectrometry. Firstly, the most important feature of pFind 2.

Preprocessing of tandem mass spectrometric data based on decision tree classification.

In this study, we present a preprocessing method for quadrupole time-of-flight (Q-TOF) tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on the natural isotopic information inherent in tandem mass spectra, we construct a decision tree after feature selection to classify the noise and ion peaks in tandem spectra. Furthermore, we recognize overlapping peaks to find the monoisotopic masses of ions for the following identification process.