Potential Use of CTCs as Biomarkers in Renal Cancer Patients

We demonstrated that the CellCollector is an appropriate tool for detecting CTCs in RCC patients. We examined EpCAM and MUC1 expression levels in RCC tissues and cell lines and analyzed the detection rate of CTCs in blood samples ex vivo using an anti-EpCAM antibody-covered straight or spiraled CellCollector. Eight matched samples were examined for affinity to the anti-EpCAM vs. anti-EpCAM/anti-MUC1 antibody-covered wire. The use of this combination of antibodies allowed us to classify patients with lung metastasis. Finally, four patients were analyzed in vivo. In conclusion, both straight (ex vivo, in vivo) and spiraled (ex vivo) wires detected CTCs.

Factors affecting Lychee supply chain linkage and business performance

The objective of this study is to investigate the relationship between supply chain linkage and business performance in the lychee supply chain in Vietnam. The study collected 395 matched samples after sample screening. Partial least squares (PLS) algorithm is used to process the data. Research results show a link between supply chain linkage and business performance. Furthermore, research shows that risk supply chain, quality management, and business strategy also impact supply chain linkages and business performance.

PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched Samples

Recent advances in technology have made multi-omics datasets increasingly available to researchers. To leverage the wealth of information in multi-omics data, a number of integrative analysis strategies have been proposed recently. However, effectively extracting biological insights from these large, complex datasets remains challenging. In particular, matched samples with multiple types of omics data measured on each sample are often required for multi-omics analysis tools, which can significantly reduce the sample size. Another challenge is that analysis techniques such as dimension reductions, which extract association signals in high dimensional datasets by estimating a few variables that explain most of the variations in the samples, are typically applied to whole-genome data, which can be computationally demanding. Here we present pathwayMultiomics, a pathway-based approach for integrative analysis of multi-omics data with categorical, continuous, or survival outcome variables. The input of pathwayMultiomics is pathway p-values for individual omics data types, which are then integrated using a novel statistic, the MiniMax statistic, to prioritize pathways dysregulated in multiple types of omics datasets. Importantly, pathwayMultiomics is computationally efficient and does not require matched samples in multi-omics data. We performed a comprehensive simulation study to show that pathwayMultiomics significantly outperformed currently available multi-omics tools with improved power and well-controlled false-positive rates. In addition, we also analyzed real multi-omics datasets to show that pathwayMultiomics was able to recover known biology by nominating biologically meaningful pathways in complex diseases such as Alzheimer’s disease.

Clinical Validation of a Volumetric Absorptive Micro-Sampling Device for Pharmacokinetic Studies With Tranexamic Acid

We assessed the accuracy of tranexamic acid (TXA) concentrations measured in capillary whole blood using volumetric absorptive micro-sampling (VAMS) devices. Paired venous and VAMS capillary blood samples were collected from 15 healthy volunteers participating in a pharmacokinetic study of alternative routes (oral, IM and IV) of administering TXA. To assess accuracy across a range of concentrations, blood was drawn at different times after TXA administration. We measured TXA concentrations in plasma, whole blood from samples collected by venepuncture and whole blood from venous and capillary samples collected using VAMS devices. TXA was measured using a validated high sensitivity liquid chromatography - mass spectrometry method. We used Bland-Altman plots to describe the agreement between the TXA concentrations obtained with the different methods. In the 42 matched samples, the mean plasma TXA concentration was 14.0 mg/L (range 2.6–36.5 mg/L) whereas the corresponding whole blood TXA concentration was 7.7 mg/L (range 1.6–17.5 mg/L). When comparing TXA concentrations in VAMS samples of venous and capillary whole blood, the average bias was 0.07 mg/L (lower and upper 95% limits of agreement: −2.1 and 2.2 mg/L respectively). When comparing TXA concentrations in venous whole blood and VAMS capillary whole blood, the average bias was 0.7 mg/L (limits of agreement: −2.7 and 4.0 mg/L). Volumetric absorptive micro-sampling devices are sufficiently accurate for use in pharmacokinetic studies of tranexamic acid treatment in the range of plasma concentrations relevant for the assessment of fibrinolysis inhibition.

Assessing women’s risk of recidivism: An investigation into the predictive validity of the Dynamic Risk Assessment for Offender Re-entry (DRAOR) with matched samples of community-sentenced women and men

<p>Although men and women share risk factors for offending, some scholars claim these factors operate differentially by gender and that certain proposed women-specific risk factors are neglected in the existing gender-neutral risk assessment tools. The present research evaluated one such gender-neutral risk assessment tool used by New Zealand Department of Corrections: The Dynamic Risk Assessment for Offender Re-entry (DRAOR; Serin, 2007; Serin, Mailloux, & Wilson, 2012). The research was comparative and examined the predictive validity of the DRAOR for breaches of sentence and criminal reconvictions in matched samples of New Zealand women and men who had served community supervision sentences. Cox regression and AUC analyses showed the initial DRAOR had mixed predictive validity and the proximal DRAOR comparative predictive validity across gender. Additionally, the proximal DRAOR assessment consistently outperformed the initial DRAOR in the prediction of reconvictions for both women and men. Further, offenders made significant change on the DRAOR between two assessment points and overall the change made on the DRAOR was significantly related to reconvictions for women and men. For both samples, the RoC*RoI did not predict breach reconvictions; however, the proximal DRAOR TS provided incremental predictive validity above the RoC*RoI for criminal reconvictions. To conclude, the research supports the continued use of the DRAOR as a risk prediction tool with community-sentenced women and men and thus supports gender neutrality. Further, the research supports the dynamic nature of the DRAOR and highlighted the importance of updating dynamic risk assessments. Additionally, the research recommends that change made on a dynamic risk assessment tool over time be considered useful for predictive purposes for women and men alike.</p>

Assessing women’s risk of recidivism: An investigation into the predictive validity of the Dynamic Risk Assessment for Offender Re-entry (DRAOR) with matched samples of community-sentenced women and men

<p>Although men and women share risk factors for offending, some scholars claim these factors operate differentially by gender and that certain proposed women-specific risk factors are neglected in the existing gender-neutral risk assessment tools. The present research evaluated one such gender-neutral risk assessment tool used by New Zealand Department of Corrections: The Dynamic Risk Assessment for Offender Re-entry (DRAOR; Serin, 2007; Serin, Mailloux, & Wilson, 2012). The research was comparative and examined the predictive validity of the DRAOR for breaches of sentence and criminal reconvictions in matched samples of New Zealand women and men who had served community supervision sentences. Cox regression and AUC analyses showed the initial DRAOR had mixed predictive validity and the proximal DRAOR comparative predictive validity across gender. Additionally, the proximal DRAOR assessment consistently outperformed the initial DRAOR in the prediction of reconvictions for both women and men. Further, offenders made significant change on the DRAOR between two assessment points and overall the change made on the DRAOR was significantly related to reconvictions for women and men. For both samples, the RoC*RoI did not predict breach reconvictions; however, the proximal DRAOR TS provided incremental predictive validity above the RoC*RoI for criminal reconvictions. To conclude, the research supports the continued use of the DRAOR as a risk prediction tool with community-sentenced women and men and thus supports gender neutrality. Further, the research supports the dynamic nature of the DRAOR and highlighted the importance of updating dynamic risk assessments. Additionally, the research recommends that change made on a dynamic risk assessment tool over time be considered useful for predictive purposes for women and men alike.</p>

Quantitative serology for SARS-CoV-2 using self-collected saliva and finger-stick blood

Convenient and widespread serology testing may alter the trajectory of the COVID-19 pandemic. This study seeks to leverage high-throughput, multiplexed serologic assays, which have been adopted as benchmarks for vaccine efficacy, to support large-scale surveys of SARS-CoV-2 immunity using finger-stick blood and/or saliva. Specifically, we optimized MSD’s serology assays, which were analytically validated for serum, to test self-collected finger-stick blood and saliva samples. We show that these assays can be used with FDA-registered specimen collection devices to obtain quantitative measurements for self-collected samples. Antibody levels were measured using an electrochemiluminescent (ECL) multiplex immunoassay, which has been used to measure humoral responses to several COVID-19 vaccines, including those funded by the U.S. Government’s Operation Warp Speed. First, we show that salivary antibodies are stable without refrigeration or preservatives for at least five days. Using matched samples, we show that testing of saliva and finger-stick blood equivalently identified individuals with humoral responses to CoV-2 antigens. Moreover, we piloted a simple saliva collection kit that can be used to safely send samples through the mail. This work demonstrates that robust methods for self-collection of finger-stick blood and saliva, in combination with quantitative, automated immunoassays, provide the technical capabilities needed to support large-scale serology testing.

Aberrant neural representation of food stimuli in women with acute anorexia nervosa predicts treatment outcome and is improved in weight restored individuals

Anorexia nervosa (AN) has been associated with altered reward processing. We recently reported greater neural response in secondary visual areas when processing visual food stimuli in acutely underweight AN patients (acAN). In order to examine whether the observed alterations are indicative of acute undernutrition or a potential trait marker of AN, we set out to assess neural responses in acAN and in individuals weight-recovered from AN (recAN). FMRI data were collected from a total of 126 female volunteers, 35 acAN, 33 recAN, and 58 age-matched healthy controls (HC) while they viewed streams of food, social and neutral stimuli. A standard general linear model (GLM) was used to interrogate neural responses to the different stimuli in recAN vs. age-matched HC. Moreover, within-subject multivoxel pattern analyses (MVPA) in the two matched samples (acAN/HC and recAN/HC) were used to estimate neural representation of food vs. neutral, and social vs. neutral stimuli. A multiple regression analysis was conducted to test associations between the accuracy of the neural representation and treatment outcome. The GLM revealed no group differences between recAN and HC. The MVPAs showed greater classification accuracy of food stimuli in the posterior fusiform gyrus in acAN but not recAN. Classification accuracy was associated with better treatment outcome. Our findings suggest that the neural representation of food stimuli is altered in secondary visual areas in acAN and normalizes with weight recovery. Possibly this altered representation reflects attentional engagement motivating food intake, which may promote the recovery process.

The Domain-General Multiple Demand network is More Active in Early Balanced Bilinguals than Monolinguals During Executive Processing

The bilingual experience may place special cognitive demands on speakers and has been argued to lead to improvements in domain-general executive abilities, like cognitive control and working memory. Such improvements have been argued for based on both behavioral and brain imaging evidence. However, the empirical landscape is complex and ridden by controversy. Here we attempt to shed light on this question through an fMRI investigation of relatively large, relatively homogeneous, and carefully matched samples of early balanced bilinguals (n=55) and monolinguals (n=54) using robust, previously validated individual-level markers of neural activity in the domain-general Multiple Demand (MD) network, which supports executive functions. We find that the bilinguals, compared to the monolinguals, show significantly stronger neural responses to an executive (spatial working memory) task, and a larger difference between a harder and an easier condition of the task, across the MD network. These stronger neural responses are accompanied by better behavioral performance on the working memory task. We further show that the bilingual-vs.-monolingual difference in neural responses is not ubiquitous across the brain as no group difference in magnitude is observed in primary visual areas, which also respond to the task. Although the neural group difference in the MD network appears robust, it remains difficult to causally link it to bilingual experience specifically. Dedication: We would like to dedicate this paper to the memory of Albert Costa, who we both knew well and loved as a mentor and a friend. Saima will always be grateful that Albert let her spend her senior year in his lab despite not even being from the same university; his support, mentorship and guidance helped her not stray away from academia when things got tough. And Ev will forever remember the weekly Friday night partying with Albert and the rest of the “crew” in The Cellar and The People’s Republik during her undergrad years in the Caramazza Lab in the late 1990s and early 2000s.