Toolkit to Examine Lifelike Language (TELL) v.2.0: Optimizing speech biomarkers of neurodegeneration.

INTRODUCTION: The Toolkit to Examine Lifelike Language (TELL) is a web-based application providing speech biomarkers of neurodegeneration. After deployment of TELL v.1.0 in over 20 sites, we now introduce TELL v.2.0. METHODS: First, we describe the app's usability features, including functions for collecting and processing data onsite, offline, and via videoconference. Second, we summarize its clinical survey, tapping on relevant habits (e.g., smoking, sleep) alongside linguistic predictors of performance (language history, use, proficiency, and difficulties). Third, we detail TELL's speech-based assessments, each combining strategic tasks and features capturing diagnostically relevant domains (motor function, semantic memory, episodic memory, and emotional processing). Fourth, we specify the app's new data analysis, visualization, and download options. Finally, we list core challenges and opportunities for development. RESULTS: Overall, through its technical and scientific breakthroughs, TELL v.2.0 offers scalable, objective, and multidimensional insights for the field. CONCLUSION: This tool can enhance disease detection, phenotyping, and monitoring.

Preclinical 3D model screening reveals digoxin as an effective therapy for a rare and aggressive type of endometrial cancer.

OBJECTIVE: Dedifferentiated endometrial carcinoma (DDEC) characterized by SWItch/Sucrose Non-Fermentable (SWI/SNF) complex inactivation is a highly aggressive type of endometrial cancer without effective systemic therapy options. Its uncommon nature and aggressive disease trajectory pose significant challenges for therapeutic progress. To address this obstacle, we focused on developing preclinical models tailored to this tumor type and established patient tumor-derived three-dimensional (3D) spheroid models of DDEC. METHODS: High-throughput drug repurposing screens were performed on in vitro 3D spheroid models of DDEC cell lines (SMARCA4-inactivated DDEC-1 and ARID1A/ARID1B co-inactivated DDEC-2). The dose-response relationships of the identified candidate drugs were evaluated in vitro, followed by in vivo evaluation using xenograft models of DDEC-1 and DDEC-2. RESULTS: Drug screen in 3D models identified multiple cardiac glycosides including digoxin and digitoxin as candidate drugs in both DDEC-1 and DDEC-2. Subsequent in vitro dose-response analyses confirmed the inhibitory activity of digoxin and digitoxin with both drugs showing lower IC50 in DDEC cells compared to non-DDEC endometrial cancer cells. In in vivo xenograft models, digoxin significantly suppressed the growth of DDEC tumors at clinically relevant serum concentrations. CONCLUSION: Using biologically precise preclinical models of DDEC derived from patient tumor samples, our study identified digoxin as an effective drug in suppressing DDEC tumor growth. These findings provide compelling preclinical evidence for the use of digoxin as systemic therapy for SWI/SNF-inactivated DDEC, which may also be applicable to other SWI/SNF-inactivated tumor types.

The EphA2 Receptor Regulates Invasiveness and Drug Sensitivity in Canine and Human Osteosarcoma Cells.

Osteosarcoma is an aggressive bone cancer affecting both humans and dogs, often leading to pulmonary metastasis. Despite surgery and chemotherapy being the primary treatment modalities, survival rates remain low in both species, underscoring the urgent need for more efficacious therapeutic options. Accumulating evidence indicates numerous biological and clinical similarities between human and canine osteosarcoma, making it an ideal choice for comparative oncological research that should benefit both species. The EphA2 receptor has been implicated in controlling invasive responses across different human malignancies, and its expression is associated with poor prognosis. In this study, we utilized a comparative approach to match EphA2 functions in human and canine osteosarcoma models. Our objectives were to assess EphA2 levels and its pro-malignant action in osteosarcoma cells of both species. We found that EphA2 is overexpressed in most of both canine and human osteosarcoma cell lines, while its silencing significantly reduced cell viability, migration, and invasion. Moreover, EphA2 silencing enhanced the sensitivity of osteosarcoma cells to cisplatin, a drug commonly used for treating this cancer. Furthermore, inhibition of EphA2 expression led to a significant reduction in tumor development capability of canine osteosarcoma cells. Our data suggest that these EphA2 effects are likely mediated through various signaling mechanisms, including the SRC, AKT, and ERK-MAPK pathways. Collectively, our findings indicate that EphA2 promotes malignant behaviors in both human and canine osteosarcoma and that targeting EphA2, either alone or in combination with chemotherapy, could offer potential benefits to osteosarcoma patients.

Monitorización ambulatoria de la presión arterial en adultos y población pediátrica. Una revisión narrativa / Ambulatory blood pressure monitoring, adult and pediatric population. A narrative review

La hipertensión arterial (HTA) se ha convertido en un factor de riesgo central para el desarrollo de enfermedades cardiovasculares (CV), lo que subraya la importancia de su diagnóstico preciso. Numerosos estudios han establecido una estrecha relación entre los valores elevados de la presión arterial sistólica (PAS) y diastólica (PAD) y un incremento en el riesgo de padecer algún evento cardiovascular (ECV). Tradicionalmente, las mediciones de la presión arterial (PA) realizadas en entornos clínicos han sido el principal método para diagnosticar y evaluar la HTA. No obstante, en los últimos años, se ha reconocido que las mediciones de la PA obtenidas fuera del ambiente clínico, mediante la automedida de la presión arterial (AMPA) y la monitorización ambulatoria de la presión arterial (MAPA), ofrecen una perspectiva más realista de la vida cotidiana de los pacientes y, por lo tanto, brindan resultados más fiables. Dada la evolución de los dispositivos médicos, los criterios diagnósticos y la creciente relevancia de componentes de la MAPA en la predicción de ECV, se requiere una actualización integral que sea práctica para la clínica. Esta revisión tiene como objetivo proporcionar una actualización de la MAPA, enfocándose en su importancia en la evaluación de la HTA. Además, se analizarán los umbrales diagnósticos, los distintos fenotipos según el ciclo circadiano y las recomendaciones en diferentes poblaciones, asimismo, se ofrecerán sugerencias concretas para la implementación efectiva de la MAPA en la práctica clínica, lo que permitirá a los profesionales de la salud tomar decisiones fundamentadas y mejorar la atención de sus pacientes.(AU)

Hypertension has become a central risk factor for the development of cardiovascular disease, underscoring the importance of its accurate diagnosis. Numerous studies have established a close relationship between elevated systolic (SBP) and diastolic (DBP) blood pressure and an increased risk of cardiovascular event (CVE). Traditionally, blood pressure (BP) measurements performed in clinical settings have been the main method for diagnosing and assessing hypertension. However, in recent years, it has been recognized that BP measurements obtained outside the clinical setting, using self-monitoring blood pressure (SMBP) and ambulatory blood pressure monitoring (ABPM), offer a more realistic perspective of patients’ daily lives and therefore provide more reliable results. Given the evolution of medical devices, diagnostic criteria, and the increasing relevance of certain components of ABPM in the prediction of adverse cardiovascular outcomes, a comprehensive update that is practical for daily clinical practice is required. The main objective of this article is to provide an updated review of ABPM, focusing on its importance in the evaluation of hypertension and its impact on public health in Colombia. In addition, it will discuss the implications of changes in diagnostic thresholds and provide concrete recommendations for the effective implementation of ABPM in clinical practice, allowing health professionals to make informed decisions and improve the care of their patients.(AU)

Characterization of a novel functional porcine CD3+CD4lowCD8α+CD8ß+ T-helper/memory lymphocyte subset in the respiratory tract lymphoid tissues of swine influenza A virus vaccinated pigs.

The pig is emerging as a physiologically relevant biomedical large animal model. Delineating the functional roles of porcine adaptive T-lymphocyte subsets in health and disease is of critical significance, which facilitates mechanistic understanding of antigen-specific immune memory responses. We identified a novel T-helper/memory lymphocyte subset in pigs and performed phenotypic and functional characterization of these cells under steady state and following vaccination and infection with swine influenza A virus (SwIAV). A novel subset of CD3+CD4lowCD8α+CD8ß+ memory T-helper cells was identified in the blood of healthy adult pigs under homeostatic conditions. To understand the possible functional role/s of these cells, we characterized the antigen-specific T cell memory responses by multi-color flow cytometry in pigs vaccinated with a whole inactivated SwIAV vaccine, formulated with a phytoglycogen nanoparticle/STING agonist (ADU-S100) adjuvant (NanoS100-SwIAV). As a control, a commercial SwIAV vaccine was included in a heterologous challenge infection trial. The frequencies of antigen-specific IL-17A and IFNγ secreting CD3+CD4lowCD8α+CD8ß+ memory T-helper cells were significantly increased in the lung draining tracheobronchial lymph nodes (TBLN) of intradermal, intramuscular and intranasal inoculated NanoS100-SwIAV vaccine and commercial vaccine administered animals. While the frequencies of antigen-specific, IFNγ secreting CD3+CD4lowCD8α+CD8ß+ memory T-helper cells were significantly enhanced in the blood of intranasal and intramuscular vaccinates. These observations suggest that the CD3+CD4lowCD8α+CD8ß+ T-helper/memory cells in pigs may have a protective and/or regulatory role/s in immune responses against SwIAV infection. These observations highlight the heterogeneity and plasticity of porcine CD4+ T-helper/memory cells in response to respiratory viral infection in pigs. Comprehensive systems immunology studies are needed to further decipher the cellular lineages and functional role/s of this porcine T helper/memory cell subset.

Eye movement function captured via an electronic tablet informs on cognition and disease severity in Parkinson's disease.

Studying the oculomotor system provides a unique window to assess brain health and function in various clinical populations. Although the use of detailed oculomotor parameters in clinical research has been limited due to the scalability of the required equipment, the development of novel tablet-based technologies has created opportunities for fast, easy, cost-effective, and reliable eye tracking. Oculomotor measures captured via a mobile tablet-based technology have previously been shown to reliably discriminate between Parkinson's Disease (PD) patients and healthy controls. Here we further investigate the use of oculomotor measures from tablet-based eye-tracking to inform on various cognitive abilities and disease severity in PD patients. When combined using partial least square regression, the extracted oculomotor parameters can explain up to 71% of the variance in cognitive test scores (e.g. Trail Making Test). Moreover, using a receiver operating characteristics (ROC) analysis we show that eye-tracking parameters can be used in a support vector classifier to discriminate between individuals with mild PD from those with moderate PD (based on UPDRS cut-off scores) with an accuracy of 90%. Taken together, our findings highlight the potential usefulness of mobile tablet-based technology to rapidly scale eye-tracking use and usefulness in both research and clinical settings by informing on disease stage and cognitive outcomes.

Sleeve Gastrectomy Reduces Oxidative Stress and Reverses Mitochondrial Dysfunction Associated with Metabolic Syndrome.

INTRODUCTION: Previous studies have detected mitochondrial alterations in tissues of individuals with obesity and type 2 diabetes mellitus (T2DM). Metabolic surgery could be an effective treatment to improve mitochondrial morphology and reduce oxidative stress (OS). METHODS: An experimental study was carried out using 48 male Wistar rats, divided into 6 groups (n = 8): control (C), induced Metabolic Syndrome (MS); intervention with sleeve gastrectomy (SG), MS + SG with 6 weeks postoperatively (MS + SG6), MS + SG with 12 weeks postoperatively (MS + SG12), and MS + SG with 24 weeks postoperatively (MS + SG24). Biochemical markers indicative of MS (glycemia, cholesterol, and triglyceride levels) and oxidative stress markers (nitric oxide levels, Superoxide dismutase and Myeloperoxidase activity) were determined. To study mitochondrial morphology, tissue sections of the thoracic aorta, stomach, liver, heart, and kidney were observed by electron microscopy. RESULTS: MS group exhibited elevated glycemic values and dyslipidemia. SG and MS + SG groups showed improvements in glycemia and lipid profiles compared to MS. OS biomarkers indicated reduced oxidative stress in SG and MS + SG groups compared to MS. Electron microscopy revealed mitochondrial alterations in MS. SG group showed no changes compared to the control. MS + SG6 and MS + SG12 groups showed a recovery of mitochondrial morphology until reaching images similar to the control in MS + SG24. CONCLUSION: Metabolic surgery could improve mitochondrial function by restoring mitochondrial morphology and architecture and, consequently, reducing systemic oxidative stress and remitting associated metabolic alterations.

MEMO1 binds iron and modulates iron homeostasis in cancer cells.

Mediator of ERBB2-driven cell motility 1 (MEMO1) is an evolutionary conserved protein implicated in many biological processes; however, its primary molecular function remains unknown. Importantly, MEMO1 is overexpressed in many types of cancer and was shown to modulate breast cancer metastasis through altered cell motility. To better understand the function of MEMO1 in cancer cells, we analyzed genetic interactions of MEMO1 using gene essentiality data from 1028 cancer cell lines and found multiple iron-related genes exhibiting genetic relationships with MEMO1. We experimentally confirmed several interactions between MEMO1 and iron-related proteins in living cells, most notably, transferrin receptor 2 (TFR2), mitoferrin-2 (SLC25A28), and the global iron response regulator IRP1 (ACO1). These interactions indicate that cells with high-MEMO1 expression levels are hypersensitive to the disruptions in iron distribution. Our data also indicate that MEMO1 is involved in ferroptosis and is linked to iron supply to mitochondria. We have found that purified MEMO1 binds iron with high affinity under redox conditions mimicking intracellular environment and solved MEMO1 structures in complex with iron and copper. Our work reveals that the iron coordination mode in MEMO1 is very similar to that of iron-containing extradiol dioxygenases, which also display a similar structural fold. We conclude that MEMO1 is an iron-binding protein that modulates iron homeostasis in cancer cells.

[Ambulatory blood pressure monitoring, adult and pediatric population. A narrative review]. / Monitorización ambulatoria de la presión arterial en adultos y población pediátrica. Una revisión narrativa.

Hypertension has become a central risk factor for the development of cardiovascular disease, underscoring the importance of its accurate diagnosis. Numerous studies have established a close relationship between elevated systolic (SBP) and diastolic (DBP) blood pressure and an increased risk of cardiovascular event (CVE). Traditionally, blood pressure (BP) measurements performed in clinical settings have been the main method for diagnosing and assessing hypertension. However, in recent years, it has been recognized that BP measurements obtained outside the clinical setting, using self-monitoring blood pressure (SMBP) and ambulatory blood pressure monitoring (ABPM), offer a more realistic perspective of patients' daily lives and therefore provide more reliable results. Given the evolution of medical devices, diagnostic criteria, and the increasing relevance of certain components of ABPM in the prediction of adverse cardiovascular outcomes, a comprehensive update that is practical for daily clinical practice is required. The main objective of this article is to provide an updated review of ABPM, focusing on its importance in the evaluation of hypertension and its impact on public health in Colombia. In addition, it will discuss the implications of changes in diagnostic thresholds and provide concrete recommendations for the effective implementation of ABPM in clinical practice, allowing health professionals to make informed decisions and improve the care of their patients.

Breast Tumor Metastasis and Its Microenvironment: It Takes Both Seed and Soil to Grow a Tumor and Target It for Treatment.

Metastasis remains a major challenge in treating breast cancer. Breast tumors metastasize to organ-specific locations such as the brain, lungs, and bone, but why some organs are favored over others remains unclear. Breast tumors also show heterogeneity, plasticity, and distinct microenvironments. This contributes to treatment failure and relapse. The interaction of breast cancer cells with their metastatic microenvironment has led to the concept that primary breast cancer cells act as seeds, whereas the metastatic tissue microenvironment (TME) is the soil. Improving our understanding of this interaction could lead to better treatment strategies for metastatic breast cancer. Targeted treatments for different subtypes of breast cancers have improved overall patient survival, even with metastasis. However, these targeted treatments are based upon the biology of the primary tumor and often these patients' relapse, after therapy, with metastatic tumors. The advent of immunotherapy allowed the immune system to target metastatic tumors. Unfortunately, immunotherapy has not been as effective in metastatic breast cancer relative to other cancers with metastases, such as melanoma. This review will describe the heterogeneic nature of breast cancer cells and their microenvironments. The distinct properties of metastatic breast cancer cells and their microenvironments that allow interactions, especially in bone and brain metastasis, will also be described. Finally, we will review immunotherapy approaches to treat metastatic breast tumors and discuss future therapeutic approaches to improve treatments for metastatic breast cancer.

Roadmap for the expression of canonical and extended endocannabinoid system receptors and metabolic enzymes in peripheral organs of preclinical animal models.

The endocannabinoid system is widely expressed throughout the body and is comprised of receptors, ligands, and enzymes that maintain metabolic, immune, and reproductive homeostasis. Increasing interest in the endocannabinoid system has arisen due to these physiologic roles, policy changes leading to more widespread recreational use, and the therapeutic potential of Cannabis and phytocannabinoids. Rodents have been the primary preclinical model of focus due to their relative low cost, short gestational period, genetic manipulation strategies, and gold-standard behavioral tests. However, the potential for lack of clinical translation to non-human primates and humans is high as cross-species comparisons of the endocannabinoid system have not been evaluated. To bridge this gap in knowledge, we evaluate the relative gene expression of 14 canonical and extended endocannabinoid receptors in seven peripheral organs of C57/BL6 mice, Sprague-Dawley rats, and non-human primate rhesus macaques. Notably, we identify species- and organ-specific heterogeneity in endocannabinoid receptor distribution where there is surprisingly limited overlap among the preclinical models. Importantly, we determined there were no receptors with identical expression patterns among mice (three males and two females), rats (six females), and rhesus macaques (four males). Our findings demonstrate a critical, yet previously unappreciated, contributor to challenges of rigor and reproducibility in the cannabinoid field, which has implications in hampering progress in understanding the complexity of the endocannabinoid system and development of cannabinoid-based therapies.

Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia.

INTRODUCTION: Verbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property analysis to capture neurocognitive markers of AD vis-à-vis behavioral variant frontotemporal dementia (bvFTD). METHODS: Patients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group-level discrimination, patient-level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns. RESULTS: Valid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group- and subject-level discrimination only in AD, also predicting executive outcomes. Disease-specific cortical thickness patterns were predicted by frequency in both disorders. Default-mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD. DISCUSSION: Word-property analysis of fluency can boost AD characterization and diagnosis. HIGHLIGHTS: We report novel word-property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word-property analysis of fluency can boost AD characterization and diagnosis.

Survey of NF1 inactivation by surrogate immunohistochemistry in ovarian carcinomas.

OBJECTIVE: Inhibition of the MAPK pathway by MEK inhibitors (MEKi) is currently a therapeutic standard in several cancer types, including ovarian low-grade serous carcinoma (LGSC). A common MAPK pathway alteration in tubo-ovarian high-grade serous carcinoma (HGSC) is the genomic inactivation of neurofibromin 1 (NF1). The primary objectives of our study were to survey the prevalence of NF1 inactivation in the principal ovarian carcinoma histotype as well as to evaluate its associations with clinico-pathological parameters and key biomarkers including BRCA1/2 status in HGSC. METHODS: A recently commercialized NF1 antibody (clone NFC) was orthogonally validated on an automated immunohistochemistry (IHC) platform and IHC was performed on tissue microarrays containing 2140 ovarian carcinoma cases. Expression was interpreted as loss/inactivated (complete or subclonal) versus normal/retained. RESULTS: Loss of NF1 expression was detected in 250/1429 (17.4%) HGSC including 11% with subclonal loss. Survival of NF1-inactivated HGSC patients was intermediate between favorable BRCA1/2 mutated HGSC and unfavorable CCNE1 high-level amplified HGSC. NF1 inactivation was mutually exclusive with CCNE1 high-level amplifications, co-occurred with RB1 loss and occurred at similar frequencies in BRCA1/2 mutated versus wild-type HGSC. NF1 loss was found in 21/286 (7.3%) endometrioid carcinomas with a favorable prognostic association (p = 0.048), and in 4/64 (5.9%) LGSC, mutually exclusive with other driver events. CONCLUSIONS: NF1 inactivation occurs in a significant subset of BRCA1/2 wild-type HGSC and a subset of LGSC. While the functional effects of NF1 inactivation need to be further characterized, this signifies a potential therapeutic opportunity to explore targeting NF1 inactivation in these tumors.

Cross-species conservation in the regulation of parvalbumin by perineuronal nets.

Parvalbumin (PV) neurons play an integral role in regulating neural dynamics and plasticity. Therefore, understanding the factors that regulate PV expression is important for revealing modulators of brain function. While the contribution of PV neurons to neural processes has been studied in mammals, relatively little is known about PV function in non-mammalian species, and discerning similarities in the regulation of PV across species can provide insight into evolutionary conservation in the role of PV neurons. Here we investigated factors that affect the abundance of PV in PV neurons in sensory and motor circuits of songbirds and rodents. In particular, we examined the degree to which perineuronal nets (PNNs), extracellular matrices that preferentially surround PV neurons, modulate PV abundance as well as how the relationship between PV and PNN expression differs across brain areas and species and changes over development. We generally found that cortical PV neurons that are surrounded by PNNs (PV+PNN neurons) are more enriched with PV than PV neurons without PNNs (PV-PNN neurons) across both rodents and songbirds. Interestingly, the relationship between PV and PNN expression in the vocal portion of the basal ganglia of songbirds (Area X) differed from that in other areas, with PV+PNN neurons having lower PV expression compared to PV-PNN neurons. These relationships remained consistent across development in vocal motor circuits of the songbird brain. Finally, we discovered a causal contribution of PNNs to PV expression in songbirds because degradation of PNNs led to a diminution of PV expression in PV neurons. These findings in reveal a conserved relationship between PV and PNN expression in sensory and motor cortices and across songbirds and rodents and suggest that PV neurons could modulate plasticity and neural dynamics in similar ways across songbirds and rodents.

Oculomotor analysis to assess brain health: preliminary findings from a longitudinal study of multiple sclerosis using novel tablet-based eye-tracking software.

A growing body of evidence supports the link between eye movement anomalies and brain health. Indeed, the oculomotor system is composed of a diverse network of cortical and subcortical structures and circuits that are susceptible to a variety of degenerative processes. Here we show preliminary findings from the baseline measurements of an ongoing longitudinal cohort study in MS participants, designed to determine if disease and cognitive status can be estimated and tracked with high accuracy based on eye movement parameters alone. Using a novel gaze-tracking technology that can reliably and accurately track eye movements with good precision without the need for infrared cameras, using only an iPad Pro embedded camera, we show in this cross-sectional study that several eye movement parameters significantly correlated with clinical outcome measures of interest. Eye movement parameters were extracted from fixation, pro-saccade, anti-saccade, and smooth pursuit visual tasks, whereas the clinical outcome measures were the scores of several disease assessment tools and standard cognitive tests such as the Expanded Disability Status Scale (EDSS), Brief International Cognitive Assessment for MS (BICAMS), the Multiple Sclerosis Functional Composite (MSFC) and the Symbol Digit Modalities Test (SDMT). Furthermore, partial least squares regression analyses show that a small set of oculomotor parameters can explain up to 84% of the variance of the clinical outcome measures. Taken together, these findings not only replicate previously known associations between eye movement parameters and clinical scores, this time using a novel mobile-based technology, but also the notion that interrogating the oculomotor system with a novel eye-tracking technology can inform us of disease severity, as well as the cognitive status of MS participants.

A novel tablet-based software for the acquisition and analysis of gaze and eye movement parameters: a preliminary validation study in Parkinson's disease.

The idea that eye movements can reflect certain aspects of brain function and inform on the presence of neurodegeneration is not a new one. Indeed, a growing body of research has shown that several neurodegenerative disorders, such as Alzheimer's and Parkinson's Disease, present characteristic eye movement anomalies and that specific gaze and eye movement parameters correlate with disease severity. The use of detailed eye movement recordings in research and clinical settings, however, has been limited due to the expensive nature and limited scalability of the required equipment. Here we test a novel technology that can track and measure eye movement parameters using the embedded camera of a mobile tablet. We show that using this technology can replicate several well-known findings regarding oculomotor anomalies in Parkinson's disease (PD), and furthermore show that several parameters significantly correlate with disease severity as assessed with the MDS-UPDRS motor subscale. A logistic regression classifier was able to accurately distinguish PD patients from healthy controls on the basis of six eye movement parameters with a sensitivity of 0.93 and specificity of 0.86. This tablet-based tool has the potential to accelerate eye movement research via affordable and scalable eye-tracking and aid with the identification of disease status and monitoring of disease progression in clinical settings.

Integration of cancer-related genetic landscape of Eph receptors and ephrins with proteomics identifies a crosstalk between EPHB6 and EGFR.

Eph receptors and their ephrin ligands are viewed as promising targets for cancer treatment; however, targeting them is hindered by their context-dependent functionalities. To circumvent this, we explore molecular landscapes underlying their pro- and anti-malignant activities. Using unbiased bioinformatics approaches, we construct a cancer-related network of genetic interactions (GIs) of all Ephs and ephrins to assist in their therapeutic manipulation. We also apply genetic screening and BioID proteomics and integrate them with machine learning approaches to select the most relevant GIs of one Eph receptor, EPHB6. This identifies a crosstalk between EPHB6 and EGFR, and further experiments confirm the ability of EPHB6 to modulate EGFR signaling, enhancing the proliferation of cancer cells and tumor development. Taken together, our observations show EPHB6 involvement in EGFR action, suggesting its targeting might be beneficial in EGFR-dependent tumors, and confirm that the Eph family genetic interactome presented here can be effectively exploited in developing cancer treatment approaches.