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Mapping the language landscape: A systematic review of interventions used in awake craniotomy
Background and Aims:
Awake craniotomy often results in postoperative aphasia. Over the last several decades, neurosurgical technologies have evolved, increasing resection precision for the surgeon (e.g., intraoperative fMRI). However, one ongoing concern reported by surgical teams is delineating the extent of tissue that can be safely resected β remove too little and one may not get the desired result; remove too much and one risks impairing language function. Despite technological advances and considerable progress in the neuroanatomy of language, the Penfield three-task approach (counting, naming, reading; based on the Wernicke-Geschwind model) for intraoperative language mapping remains the standard. Although this can elicit speech-arrest and βaphasicβ errors, the basic tasks are not aligned with current language models and fail to probe subtler language functions that are often impaired postoperatively (De Witte & Marien, 2013). For example, stimulation of anterior and posterior cortex could invoke reading problems due to different reasons (e.g., phonology, vision). Preserving language function is therefore reliant on probing a spectrum of multimodal functions during cortical mapping. This requires a test-battery driven by a multifaceted theoretical framework (MRI, experimental neuropsychology etc.). The first step towards developing such a tool is to establish which intraoperative tasks are effective in mapping language function and minimising aphasic symptoms.
Methods:
A systematic review was conducted. Databases were searched for articles using key terms (e.g., βbrain tumourβ AND βneurosurgeryβ AND βlanguageβ etc.). This returned 7294 articles screened for inclusion by title, abstract and full-text by independent reviewers based on the following criteria: 1) patients aged >18 years; 2) brain tumour excision under awake conditions or general anaesthesia; 3) validated language outcomes for pre-, intra- and post-operative assessment. Data were extracted from eligible papers including intervention (intraoperative tasks) and outcomes (language function pre-, intra- and post-operatively), and are currently being analysed.
Results:
It is expected that adopting a multimodal approach will provide better outcomes than the traditional Penfield approach. For example, employing tasks engaging different input modalities (e.g., phonology, vision) and measuring a range of processes (e.g., rhyme judgement, pattern recognition) will provide a better profile of language functioning for the surgeon. Not all modalities and processes will be affected by the tumour and resection location so task delivery should be optimised as a function of patient group (e.g., semantic tasks are more beneficial for anterior temporal resection).
Conclusions:
For the first time the results from this review will allow predictions to be made regarding the best combination of tasks for mapping and preserving language function in and out of theatre. It will consider important factors such as tumour location, from which more valid conclusions may be reached on how to tailor interventions. Data from cortical mapping may also provide insights into the neuroanatomy of language. The findings will provide a basis for the development of specific tasks that comprehensively and concisely assess the functions associated with a particular region pre-, intra-, and post- operatively. Such a tool is not only relevant for craniotomy but for diagnosis of different language impairments in non-tumour patients
Toward bioβoptical phenotyping of reefβforming corals using LightβInduced Fluorescence TransientβFast Repetition Rate fluorometry
Laser cooling of a diatomic molecule
It has been roughly three decades since laser cooling techniques produced
ultracold atoms, leading to rapid advances in a vast array of fields.
Unfortunately laser cooling has not yet been extended to molecules because of
their complex internal structure. However, this complexity makes molecules
potentially useful for many applications. For example, heteronuclear molecules
possess permanent electric dipole moments which lead to long-range, tunable,
anisotropic dipole-dipole interactions. The combination of the dipole-dipole
interaction and the precise control over molecular degrees of freedom possible
at ultracold temperatures make ultracold molecules attractive candidates for
use in quantum simulation of condensed matter systems and quantum computation.
Also ultracold molecules may provide unique opportunities for studying chemical
dynamics and for tests of fundamental symmetries. Here we experimentally
demonstrate laser cooling of the molecule strontium monofluoride (SrF). Using
an optical cycling scheme requiring only three lasers, we have observed both
Sisyphus and Doppler cooling forces which have substantially reduced the
transverse temperature of a SrF molecular beam. Currently the only technique
for producing ultracold molecules is by binding together ultracold alkali atoms
through Feshbach resonance or photoassociation. By contrast, different proposed
applications for ultracold molecules require a variety of molecular
energy-level structures. Our method provides a new route to ultracold
temperatures for molecules. In particular it bridges the gap between ultracold
temperatures and the ~1 K temperatures attainable with directly cooled
molecules (e.g. cryogenic buffer gas cooling or decelerated supersonic beams).
Ultimately our technique should enable the production of large samples of
molecules at ultracold temperatures for species that are chemically distinct
from bialkalis.Comment: 10 pages, 7 figure
Hepatocellular adenoma: what is new in 2008
Patients (85%) with hepatocellular adenoma (HCA) are women taking oral contraceptives. They can be divided into four subgroups according to their genotype/phenotype features. (1) Hepatocyte nuclear factor 1Ξ± (HNF1Ξ±) biallelic somatic mutations are observed in 35% of the HCA cases. It occurs in almost all cases in women. HNF1Ξ±-mutated HCA are most of the time, highly steatotic, with a lack of expression of liver fatty acid binding protein (LFABP) in immunohistochemistry analyses. Adenomatosis is frequently detected in this context. An HNF1Ξ± germline mutation is observed in less than 5% of HCA cases and can be associated with MODY 3 diabetes. (2) An activating Ξ²-catenin mutation was found in 10% of HCA. These Ξ²-catenin activated HCAs are observed in men and women, and specific risk factors, such as male hormone administration or glycogenosis, are associated with their development. Immunohistochemistry studies show that these HCAs overexpress Ξ²-catenin (nuclear and cytoplasmic) and glutamine synthetase. This group of tumours has a higher risk of malignant transformation into hepatocellular carcinoma. (3) Inflammatory HCAs are observed in 40% of the cases, and they are most frequent in women but are also found in men. Lesions are characterised by inflammatory infiltrates, dystrophic arteries, sinusoidal dilatation and ductular reaction. They express serum amyloid A and C-reactive protein. In this group, GGT is frequently elevated, with a biological inflammatory syndrome present. Also, there are more overweight patients in this group. An additional 10% of inflammatory HCAs express Ξ²-catenin, and are also at risk of malignant transformation. (4) Currently, less than 10% of HCAs are unclassified. It is hoped that in the near future it will be possible with clinical, biological and imaging data to predict in which of the 2 major groups (HNF1Ξ±-mutated HCA and inflammatory HCA) the patient belongs and to propose better guidelines in terms of surveillance and treatment
Predictive feedback control and Fitts' law
Fittsβ law is a well established empirical formula, known for encapsulating the βspeed-accuracy trade-offβ. For discrete, manual movements from a starting location to a target, Fittsβ law relates movement duration to the distance moved and target size. The widespread empirical success of the formula is suggestive of underlying principles of human movement control. There have been previous attempts to relate Fittsβ law to engineering-type control hypotheses and it has been shown that the law is exactly consistent with the closed-loop step-response of a time-delayed, first-order system. Assuming only the operation of closed-loop feedback, either continuous or intermittent, this paper asks whether such feedback should be predictive or not predictive to be consistent with Fitts law. Since Fittsβ law is equivalent to a time delay separated from a first-order system, known control theory implies that the controller must be predictive. A predictive controller moves the time-delay outside the feedback loop such that the closed-loop response can be separated into a time delay and rational function whereas a non- predictive controller retains a state delay within feedback loop which is not consistent with Fittsβ law. Using sufficient parameters, a high-order non-predictive controller could approximately reproduce Fittsβ law. However, such high-order, βnon-parametricβ controllers are essentially empirical in nature, without physical meaning, and therefore are conceptually inferior to the predictive controller. It is a new insight that using closed-loop feedback, prediction is required to physically explain Fittsβ law. The implication is that prediction is an inherent part of the βspeed-accuracy trade-offβ
Role of aetiology in the progression, regression, and parenchymal remodelling of liver disease: implications for liver biopsy interpretation
Clinicopathological concepts on acute and chronic liver disease have evolved rapidly during the last few years, with advances in general and specific treatment options and improved patient outcomes. The old paradigm of βirreversibilityβ of cirrhosis had been challenged in major ways, and the validity of the usage of the term βcirrhosisβ has come into question. This paper addresses aetiology-based clinicopathological concepts and features that may deserve attention because they may determine disease outcome and, specifically, patterns of regression and remodelling. A variety of therapeutic interventions may influence remaining disease features after elimination of damaging agents (virus, alcohol, etc.), and determine the final clinical outcome including the risk of hepatocellular carcinoma (HCC). New concepts create new responsibilities and opportunities for the pathologist to contribute to the understanding of liver pathology and communicate this with clinical colleagues and researchers
MIR376A is a regulator of starvation-induced autophagy
Background: Autophagy is a vesicular trafficking process responsible for the degradation of long-lived, misfolded or abnormal proteins, as well as damaged or surplus organelles. Abnormalities of the autophagic activity may result in the accumulation of protein aggregates, organelle dysfunction, and autophagy disorders were associated with various diseases. Hence, mechanisms of autophagy regulation are under exploration.
Methods: Over-expression of hsa-miR-376a1 (shortly MIR376A) was performed to evaluate its effects on autophagy. Autophagy-related targets of the miRNA were predicted using Microcosm Targets and MIRanda bioinformatics tools and experimentally validated. Endogenous miRNA was blocked using antagomirs and the effects on target expression and autophagy were analyzed. Luciferase tests were performed to confirm that 3β UTR sequences in target genes were functional. Differential expression of MIR376A and the related MIR376B was compared using TaqMan quantitative PCR.
Results: Here, we demonstrated that, a microRNA (miRNA) from the DlkI/Gtl2 gene cluster, MIR376A, played an important role in autophagy regulation. We showed that, amino acid and serum starvation-induced autophagy was blocked by MIR376A overexpression in MCF-7 and Huh-7 cells. MIR376A shared the same seed sequence and had overlapping targets with MIR376B, and similarly blocked the expression of key autophagy proteins ATG4C and BECN1 (Beclin 1). Indeed, 3β UTR sequences in the mRNA of these autophagy proteins were responsive to MIR376A in luciferase assays. Antagomir tests showed that, endogenous MIR376A was participating to the control of ATG4C and BECN1 transcript and protein levels. Moreover, blockage of endogenous MIR376A accelerated starvation-induced autophagic activity. Interestingly, MIR376A and MIR376B levels were increased with different kinetics in response to starvation stress and tissue-specific level differences were also observed, pointing out to an overlapping but miRNA-specific biological role.
Conclusions: Our findings underline the importance of miRNAs encoded by the DlkI/Gtl2 gene cluster in stress-response control mechanisms, and introduce MIR376A as a new regulator of autophagy
MicroRNA-221 Modulates RSV Replication in Human Bronchial Epithelium by Targeting NGF Expression
Background: Early-life infection by respiratory syncytial virus (RSV) is associated with aberrant expression of the prototypical neurotrophin nerve growth factor (NGF) and its cognate receptors in human bronchial epithelium. However, the chain of events leading to this outcome, and its functional implications for the progression of the viral infection, has not been elucidated. This study sought to test the hypothesis that RSV infection modulates neurotrophic pathways in human airways by silencing the expression of specific microRNAs (miRNAs), and that this effect favors viral growth by interfering with programmed death of infected cells. Methodology: Human bronchial epithelial cells infected with green fluorescent protein-expressing RSV (rgRSV) were screened with multiplex qPCR arrays, and miRNAs significantly affected by the virus were analyzed for homology with mRNAs encoding neurotrophic factors or receptors. Mimic sequences of selected miRNAs were transfected into noninfected bronchial cells to confirm the role of each of them in regulating neurotrophins expression at the gene and protein level, and to study their influence on cell cycle and viral replication. Principal Findings: RSV caused downregulation of 24 miRNAs and upregulation of 2 (p,0.01). Homology analysis of microarray data revealed that 6 of those miRNAs exhibited a high degree of complementarity to NGF and/or one of its cognate receptors TrKA and p75 NTR. Among the selected miRNAs, miR-221 was significantly downregulated by RSV and it
In-Silico Patterning of Vascular Mesenchymal Cells in Three Dimensions
Cells organize in complex three-dimensional patterns by interacting with proteins along with the surrounding extracellular matrix. This organization provides the mechanical and chemical cues that ultimately influence a cell's differentiation and function. Here, we computationally investigate the pattern formation process of vascular mesenchymal cells arising from their interaction with Bone Morphogenic Protein-2 (BMP-2) and its inhibitor, Matrix Gla Protein (MGP). Using a first-principles approach, we derive a reaction-diffusion model based on the biochemical interactions of BMP-2, MGP and cells. Simulations of the model exhibit a wide variety of three-dimensional patterns not observed in a two-dimensional analysis. We demonstrate the emergence of three types of patterns: spheres, tubes, and sheets, and show that the patterns can be tuned by modifying parameters in the model such as the degradation rates of proteins and chemotactic coefficient of cells. Our model may be useful for improved engineering of three-dimensional tissue structures as well as for understanding three dimensional microenvironments in developmental processes.National Institutes of Health (U.S.) (GM69811)United States. Dept. of Energy (DOE CSGF fellowship
The role of SPARC in extracellular matrix assembly
SPARC is a collagen-binding matricellular protein. Expression of SPARC in adult tissues is frequently associated with excessive deposition of collagen and SPARC-null mice fail to generate a robust fibrotic response to a variety of stimuli. This review summarizes recent advancements in the characterization of the binding of SPARC to collagens and describes the results of studies that implicate a function for SPARC in the regulation of the assembly of basal lamina and fibrillar collagen in the ECM. Potential cellular mechanisms that underlie SPARC activity in ECM deposition are also explored
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