bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing Outcomes in Nipple-sparing Mastectomy: Mastectomy Flap Thickness Is Not One Size Fits All
Authors: Frey Jordan D. , Salibian Ara A. , Choi Mihye , Karp Nolan S. 
Published: January 2019

Summary:
Nipple-sparing mastectomy (NSM) places greater stress on the breast-skin envelope compared with traditional mastectomy techniques. Precise mastectomy flap dissection is critical to optimize breast skin flap thickness and minimize complication risk. This study evaluated patient-specific factors associated with mastectomy flap quality to improve technical success in NSM. Ideal NSM flap thickness was determined for all NSMs from 2006 to 2016 with available preoperative breast magnetic resonance imaging (MRIs). Demographic, operative variables, and flap thickness were compared for NSMs as stratified by body mass index (BMI) and mastectomy weight. Of the 1,037 NSMs, 420 cases (40.5%; 243 patients) had MRI data available, which included 379 (36.5%) preoperative breast MRIs. Average BMI was 24.08 kg/m2, whereas average mastectomy weight was 442.28 g. NSMs were classified according to BMI <25 kg/m2, 25–30 kg/m2, and >30 kg/m2. Average ideal overall NSM flap thicknesses in these groups were 10.43, 12.54, and 14.91 mm, respectively. Each incremental increase in average overall NSM flap thickness per BMI category was statistically significant (P < 0.0001; P < 0.0001; P = 0.0002). NSMs were also classified into mastectomy weight categories: <400 g, 400–799 g, and ≥800 g. Average overall NSM flap thicknesses in these groups were 9.97, 12.21, and 14.50 mm, respectively. Each incremental increase in average overall NSM flap thickness per mastectomy weight category was similarly statistically significant (P < 0.0001; P < 0.0001; P < 0.0001). NSM flap thickness and quality is related to BMI and breast size. Characterizing these anatomic variations preoperatively will help surgeons optimize mastectomy flap dissections and minimize ischemic complications in breast reconstruction after NSM.
RATES OF EXUDATIVE RECURRENCE FOR EYES WITH INACTIVATED WET AGE-RELATED MACULAR DEGENERATION ON 12-WEEK INTERVAL DOSING WITH BEVACIZUMAB THERAPY
Authors: Hwang Richard Y. , Santos Daniella , Oliver Scott C. N. 
Published: January 2019

Purpose:
To determine the recurrence rate of exudative age-related macular degeneration (wet AMD) in patients on 12-week dosing interval anti–vascular endothelial growth factor (anti-VEGF) bevacizumab therapy.

Methods:
A retrospective chart review was performed on wet AMD patients treated with anti-VEGF therapy using a “treat-and-extend” methodology at one physician's practice site over 2 years (2012–2014). Charts were evaluated for visual acuity, anti-VEGF agent used, treatment interval, duration of treatment, trials off of anti-VEGF therapy, evidence of exudation, and wet AMD recurrence characteristics.

Results:
Three hundred and twenty-one wet AMD patients were treated. Fifty-seven eyes were without active exudation by clinical examination or optical coherence tomography (OCT) and were maintained on repeating 12-week interval suppressive anti-VEGF therapy. Sixteen percent (8/49) showed exudation recurrence with an average 10% cumulative recurrence rate per year for eyes on bevacizumab. Eight eyes without active exudation were discontinued off of bevacizumab therapy. Sixty-three percent (5/8) demonstrated recurrence on average 4 months after stopping therapy.

Conclusion:
The findings in this study suggest that if a patient can be extended to 12-week interval bevacizumab therapy, there is on average a 10% chance of recurrence with each successive year. If anti-VEGF therapy is discontinued in these patients, there is an increased chance of recurrence by 4 months.
A multicenter randomized controlled trial on the efficacy of intradiscal methylene blue injection for chronic discogenic low back pain: the IMBI study
Authors: Kallewaard Jan Willem , Wintraecken Veerle M. , Geurts José W. , Willems Paul C. , van Santbrink Henk , Terwiel Chris T.M. , van Kleef Maarten , van Kuijk Sander M.J. 
Published: January 2019

Abstract
A study published in PAIN in 2010 showed remarkable effects of intradiscal methylene blue (MB) injections compared with placebo on pain intensity in patients with chronic discogenic low back pain (CD-LBP). Both groups received lidocaine hydrochloride injections for pain associated with the procedure. We replicated the design of the previously published study and performed a multicenter, double-blind, randomized, placebo-controlled trial to assess whether the extraordinary effects of MB on pain intensity could be confirmed. The primary outcomes were treatment success defined as at least 30% reduction in pain intensity and the Patients' Global Impression of Change 6 months after the intervention. We included 84 patients with CD-LBP of which 14 (35%) in the MB plus lidocaine group showed treatment success compared with 11 (26.8%) in the control group who received placebo plus lidocaine (P = 0.426). Twenty-seven percent of all participants treated with MB stated that their overall health improved much or very much (Patients' Global Impression of Change), vs 25.6% in the placebo group (P = 0.958). We were unable to confirm that intradiscal MB injections are better capable of significantly reducing pain in patients with CD-LBP 6 months after treatment compared with placebo. We observed that over one-quarter of patients receiving only lidocaine injections reported treatment success, which is in contrast with the previously published study. Our results do not support the recommendation of using intradiscal MB injections for patients with CD-LBP.
An investigation of the effect of experimental pain on logical reasoning
Authors: Attridge Nina , Keogh Edmund , Eccleston Christopher 
Published: January 2019

Abstract
Pain disrupts attention to prioritise avoidance of harm and promote analgesic behaviour. This could in turn have negative effects on higher-level cognitions, which rely on attention. In the current article, we examined the effect of thermal pain induction on 3 measures of reasoning: the Cognitive Reflection Test, Belief Bias Syllogisms task, and Conditional Inference task. In experiment 1, the thermal pain was set at each participant's pain threshold. In experiment 2, it was set to a minimum of 44°C or 7/10 on a visual analogue scale (whichever was higher). In experiment 3, performance was compared in no pain, low-intensity pain, and high-intensity pain conditions. We predicted that the experience of pain would reduce correct responding on the reasoning tasks. However, this was not supported in any of the 3 studies. We discuss possible interpretations of our failure to reject the null hypothesis and the importance of publishing null results.
Cannabis effects on lipoproteins
Authors: Lazarte Julieta , Hegele Robert A. 
Published: January 2019

Purpose of review
The endocannabinoid system affects several physiological functions. A family of endocannabinoid receptors is susceptible to cannabis constituents. Cannabis is widely used in our society and following its recent legalization in Canada, we focus on how exposure to cannabis and pharmacologic cannabinoid receptor type 1 (CB1) inhibition affect lipoprotein levels.

Recent findings
Several groups have reported that exposure to cannabis does not increase weight despite the marked increase in caloric intake. In observational studies, the effect of smoked cannabis exposure on plasma lipids is variable. Some studies in specific patient populations with longer exposure to cannabis seemed to identify slightly more favorable lipoprotein profiles in the exposed group. Several larger controlled clinical trials using orally administered rimonabant, a CB1 receptor antagonist, have consistently shown relative improvements in weight and plasma levels of triglyceride and high-density lipoprotein cholesterol among patients receiving the treatment.

Summary
The widely variable findings on the relationship of cannabis in various forms with plasma lipids preclude any definitive conclusions. Cannabis has complex effects on the cardiovascular system and its effects on lipid profile must be considered in this overall context. Further properly controlled research is required to better understand this topic.
Current status of familial hypercholesterolemia in Chinese populations
Authors: Tomlinson Brian , Hu Miao , Chow Elaine 
Published: January 2019

Purpose of review
Heterozygous familial hypercholesterolemia often went unrecognized in China when population cholesterol levels were low, but rapid economic development has changed the situation. This review will discuss the current position of awareness, diagnosis, and management of familial hypercholesterolemia in Chinese populations.

Recent findings
The phenotype of familial hypercholesterolemia in China and other Chinese populations has become similar to that in Western countries, although it may still be somewhat less severe. The prevalence in Chinese populations is also similar to that in other countries and it has been found in up to 7% of Chinese patients with premature coronary heart disease. Most of the mutations are in the low-density lipoprotein receptor gene but the pattern of mutations differs from that in Whites. Chinese patients may be more responsive to statins than Whites but patients with familial hypercholesterolemia are often undertreated.

Summary
Increasing population cholesterol levels have changed the phenotype of familial hypercholesterolemia in China and Chinese patients now resemble those in Western countries. International initiatives are facilitating increased awareness and identification of cases and more effective management of the condition.
The role of carbapenem-resistant pathogens in cSSTI and how to manage them
Authors: Del Giacomo Paola , Losito Angela Raffaella , Tumbarello Mario 
Published: January 2019

Purpose of review
Skin and soft tissue infections (SSTIs) with a wide spectrum of disease severity ranging from uncomplicated to potentially lethal are still a leading cause of morbidity and mortality. The burden of carbapenem-resistant gram-negative bacteria (CR-GNB) in SSTIs is increasing. Luckily, the armamentarium of drugs available is recently expanding as well. The present review looks at data on the role CR-GNB in SSTIs and on the old and new drugs available for the treatment of carbapenem-resistant Enterobacteriaceae (CRE), Pseudomonas, and Acinetobacter.

Recent findings
The most recent information concern the availability of new antibiotics that, even if no specific clinical trials on complicated SSTIs (cSSTIs) have been performed, may play a role in clinical practice also for the treatment of cSSTIs caused by CR-GNB. Ceftolozane-tazobactam has been found to be a good option for CR Pseudomonas infections including SSTIs. Ceftazidime-avibactam is approved for several indications, including aerobic GNB infections with limited treatment options. Meropenem–vaborbactam therapy has been associated with decreased mortality in infections caused by CRE. Eravacycline has the potential to become useful for the treatment of CR Acinetobacter for which the treatment options are limited.

Summary
In the carbapenem resistance era, the physicians goal should be to stratify patients according to risk factors for CR-GNB causing SSTIs in order to minimize inappropriate initial therapies. Some recently approved drugs seem destined to become the backbone of target therapy in patients with severe infections caused by susceptible CR-GNB strains. Prompt diagnosis of cSSTIs is crucial and, when feasible, surgical debridement as source control is essential as well.
Real-time Detection of Driver’s Movement Intention in Response to Traffic Lights
Authors: Khaliliardali Zahra , Chavarriaga Ricardo , Zhang Huaijian , Gheorghe Lucian A. , Perdikis Serafeim , Millán José del R. 
Published: January 2019

AbstractMovements are preceded by certain brain states that can be captured through various neuroimaging techniques. Brain-Computer Interfaces can be designed to detect the movement intention brain state during driving, which could be beneficial in improving the interaction between a smart car and its driver, by providing assistance in-line with the driver’s intention. In this paper, we present an Electroencephalogram based decoder of such brain states preceding movements performed in response to traffic lights in two experiments: in a car simulator and a real car. The results of both experiments (N=10: car simulator, N=8: real car) confirm the presence of anticipatory Slow Cortical Potentials in response to traffic lights for accelerating and braking actions. Single-trial classification performance exhibits an Area Under the Curve (AUC) of 0.71±0.14 for accelerating and 0.75±0.13 for braking. The AUC for the real car experiment are 0.63±0.07 and 0.64±0.13 for accelerating and braking respectively. Moreover, we evaluated the performance of real-time decoding of the intention to brake during online experiments only in the car simulator, yielding an average accuracy of 0.64±0.1. This paper confirm the existence of the anticipatory slow cortical potentials and the feasibility of single-trial detection these potentials in driving scenarios.
Dynamic Change of Electrostatic Field in TMEM16F Permeation Pathway Shifts Its Ion Selectivity
Authors: Ye Wenlei , Han Tina W. , He Mu , Jan Yuh Nung , Jan Lily Y. 
Published: January 2019

AbstractTMEM16F is activated by elevated intracellular Ca2+, and functions both as a small-conductance ion channel permeable to Ca2+ and as a phospholipid scramblase. It is important to hold this positive feedback in check to prevent prolonged Ca2+-overloading in cells. We hypothesize that TMEM16F shifts its ion selectivity so that it is more permeable to Cl− than cations at high intracellular Ca2+ concentration. We tested this hypothesis with the Q559K mutant that shows no current rundown in excised patch with prolonged Ca2+ elevation. Recorded in NaCl−based solution, the channel shifted its ion selectivity from Na+-selective to Cl−-selective when intracellular Ca2+ was increased. The ion selectivity switch did not correlate with changes of channel open state. Rather, it was indicative of an alteration of electrostatic field in the permeation pathway. Shifting ion-selectivity synergistically by intracellular divalent ions and membrane potential could work as a built-in mechanism that allows TMEM16F to brake the positive feedback.
The genome of C57BL/6J “Eve”, the mother of the laboratory mouse genome reference strain
Authors: Sarsani Vishal Kumar , Raghupathy Narayanan , Fiddes Ian T. , Armstrong Joel , Thibaud-Nissen Francoise , Zinder Oraya , Bolisetty Mohan , Howe Kerstin , Hinerfeld Doug , Ruan Xiaoan , Rowe Lucy , Barter Mary , Ananda Guruprasad , Paten Benedict , Weinstock George M. , Churchill Gary A. , Wiles Michael V. , Schneider Valerie A. , Srivastava Anuj , Reinholdt Laura G. 
Published: January 2019

ABSTRACTIsogenic laboratory mouse strains are used to enhance reproducibility as individuals within a strain are essentially genetically identical. For the most widely used isogenic strain, C57BL/6, there is also a wealth of genetic, phenotypic, and genomic data, including one of the highest quality reference genomes (GRCm38.p6). However, laboratory mouse strains are living reagents and hence genetic drift occurs and is an unavoidable source of accumulating genetic variability that can have an impact on reproducibility over time. Nearly 20 years after the first release of the mouse reference genome, individuals from the strain it represents (C57BL/6J) are at least 26 inbreeding generations removed from the individuals used to generate the mouse reference genome. Moreover, C57BL/6J is now maintained through the periodic reintroduction of mice from cryopreserved embryo stocks that are derived from a single breeder pair, aptly named C57BL/6J Adam and Eve. To more accurately represent the genome of today’s C57BL/6J mice, we have generated ade novoassembly of the C57BL/6J Eve genome (B6Eve) using high coverage, long-read sequencing, optical mapping, and short-read data. Using these data, we addressed recurring variants observed in previous mouse studies. We have also identified structural variations that impact coding sequences, closed gaps in the mouse reference assembly, some of which are in genes, and we have identified previously unannotated coding sequences through long read sequencing of cDNAs. This B6Eve assembly explains discrepant observations that have been associated with GRCm38-based analyses, and has provided data towards a reference genome that is more representative of the C57BL/6J mice that are in use today.
Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes
Authors: Joshi Shreyas S. , Sethi Mansi , Striz Martin , Cole Neil , Denegre James M. , Ryan Jennifer , Lhamon Michael E. , Agarwal Anuj , Murray Steve , Braun Robert E. , Fardo David W. , Kumar Vivek , Donohue Kevin D. , Sunderam Sridhar , Chesler Elissa J. , Svenson Karen L. , O’Hara Bruce F. 
Published: January 2019

AbstractSleep is a critical process that is well-conserved across mammalian species, and perhaps most animals, yet its functions and underlying mechanisms remain poorly understood. Identification of genes and pathways that can influence sleep may shed new light on these functions. Genomic screens enable the detection of previously unsuspected molecular processes that influence sleep. In this study, we report results from a large-scale phenotyping study of sleep-wake parameters for a population of single-gene knockout mice. Sleep-wake parameters were measured using a high throughput, non-invasive piezoelectric system called PiezoSleep. Knockout mice generated on a C57BL6/N (B6N) background were monitored for sleep and wake parameters for five days. By analyzing data from over 6000 mice representing 343 single gene knockout lines, we identified 122 genes influencing traits like sleep duration and bout length that have not been previously implicated in sleep, including those that affect sleep only during a specific circadian phase. PiezoSleep also allows assessment of breath rates during sleep and this was integrated as a supplemental tool in identifying aberrant physiology in these knockout lines. Sex differences were evident in both normal and altered sleep behavior. Through a combination of genetic and phenotypic associations, and known QTLs for sleep, we propose a set of candidate genes playing specific roles in sleep. The high “hit rate” demonstrates that many genes can alter normal sleep behaviors through a variety of mechanisms. Further investigation of these genes may provide insight into the pathways regulating sleep, functional aspects of sleep, or indirect potentially pathological processes that alter normal sleep.
Gene activation by a CRISPR-assistant trans enhancer
Authors: Xu Xin Hui , Dai Wei , Wang Dan Yang , Wu Jian , Wang Jin Ke 
Published: January 2019

AbstractGene activation is essential to the basic biological research and biomedicine. Therefore, various gene activators such as activation domain-ZNF, TALE and CRISPR proteins have been developed for this end, in which the CRISPR protein dead Cas9 (dCas9) is now most widely used. However, the current gene activators are still limited by their inefficient gene activation activity. In this study, we developed a new strategy, CRISPR-assistant trans enhancer, for activating gene expression in high efficiency by combining dCas9-VP64/sgRNA with a widely used strong enhancer, the CMV enhancer. In this strategy, a trans CMV enhancer DNA was recruited to target gene by dCas9-VP64/sgRNA via annealing between 3’ end of sgRNA and CMV enhancer. The trans enhancer activates gene transcription as the natural looped cis enhancer. The trans enhancer could activate both exogenous reporter gene and variant endogenous genes in various cells, with much higher activation efficiency than the current dCas9 activators.
Augmented Intelligence with Natural Language Processing Applied to Electronic Health Records is Useful for Identifying Patients with Non-Alcoholic Fatty Liver Disease at Risk for Disease Progression
Authors: Van Vleck Tielman T. , Chan Lili , Coca Steven G. , Craven Catherine K. , Do Ron , Ellis Stephen B. , Kannry Joseph L. , Loos Ruth J.F. , Bonis Peter A. , Cho Judy , Nadkarni Girish N. 
Published: January 2019

ABSTRACTObjectiveElectronic health record (EHR) systems contain structured data and unstructured documentation. Clinical insights can be derived from analyzing both but optimal methods for this have not been studied extensively. We compared various approaches to analyzing EHR data for non-alcoholic fatty liver disease (NAFLD).Materials and MethodsWe compared analysis of structured and unstructured EHR data using natural language processing (NLP), free-text search, and diagnostic codes against expert adjudication as the reference standard.ResultsOut of 38,575 patients, we identified 2,281 patients with NAFLD. From the remainder, 10,653 patients with similar data density were selected as a control group. NLP was more sensitive than ICD and text search (NLP 0.93 vs. ICD 0.28 vs. text search 0.81) with higher a F2 score (NLP 0.92 vs. ICD 0.34 vs. text search 0.81). 619 patients had suspected NAFLD documented in radiology notes not acknowledged in other forms of clinical documentation. Of these, 232 (37.5%) were found to have more advanced liver disease after a median of 1,057 days.DiscussionNLP-based approaches have superior accuracy in identifying NAFLD within the EHR compared to ICD/text search-based approaches. Suspected NAFLD on imaging is often not acknowledged in subsequent clinical documentation. Many such patients are later found to have more advanced liver disease.ConclusionFor identification of NAFLD, NLP performed better than alternative selection modalities and facilitated follow-on analysis of information flow. If accuracy can be proven to persist across clinical domains, NLP can identify patient phenotypes for biomedical research in an accurate and high-throughput manner.
The Isolation and Identification of Fungi Gathered from Districts in Bangkok, Thailand Where Dengue Fever Is at Epidemic Levels
Authors: Wasinpiyamongkol Ladawan , Kanchanaphum Panan 
Published: January 2019

AbstractBackgroundThe Aedes mosquito is a major vector of many important diseases such as dengue, chikungunya, Zika, and yellow fever. Biological methods of controlling mosquitos are desirable because they are ecologically friendlier, safer, and more cost effective than chemical and physical methods of controlling mosquitos.MethodsWater samples in the mosquitoes’ breeding containers from districts in Bangkok were collected from the mosquitoes breeding containers situated in seven districts of Bangkok, Thailand. The DNA was extracted from each sample of the isolated fungi. Purified DNA specimens were amplified in a PCR reaction with universal primers of ITS1 and ITS4. All the PCR product was sequencing, alignment and comparing the homologous sequence in GenBank database.ResultsFourteen strains of fungi were isolated. The most commonly found strain was Penicillium citrinum, which was discovered in six of the 30 isolated fungi samples.ConclusionBiological control strategies for the mosquito population should be further investigated because they are considered to be ecologically friendlier, safer, and more cost effective than chemical insecticides.