bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compressive stress-mediated p38 activation required for ERα + phenotype in breast cancer
Authors: Munne Pauliina M. , Martikainen Lahja , Räty Iiris , Bertula Kia , Nonappa  , Ruuska Janika , Ala-Hongisto Hanna , Peura Aino , Hollmann Babette , Euro Lilya , Yavuz Kerim , Patrikainen Linda , Salmela Maria , Pokki Juho , Kivento Mikko , Väänänen Juho , Suomi Tomi , Nevalaita Liina , Mutka Minna , Kovanen Panu , Leidenius Marjut , Meretoja Tuomo , Hukkinen Katja , Monni Outi , Pouwels Jeroen , Sahu Biswajyoti , Mattson Johanna , Joensuu Heikki , Heikkilä Päivi , Elo Laura L. , Metcalfe Ciara , Junttila Melissa R. , Ikkala Olli , Klefström Juha 
Published: November 2021

AbstractBreast cancer is now globally the most frequent cancer and leading cause of women’s death. Two thirds of breast cancers express the luminal estrogen receptor-positive (ERα + ) phenotype that is initially responsive to antihormonal therapies, but drug resistance emerges. A major barrier to the understanding of the ERα-pathway biology and therapeutic discoveries is the restricted repertoire of luminal ERα + breast cancer models. The ERα + phenotype is not stable in cultured cells for reasons not fully understood. We examine 400 patient-derived breast epithelial and breast cancer explant cultures (PDECs) grown in various three-dimensional matrix scaffolds, finding that ERα is primarily regulated by the matrix stiffness. Matrix stiffness upregulates the ERα signaling via stress-mediated p38 activation and H3K27me3-mediated epigenetic regulation. The finding that the matrix stiffness is a central cue to the ERα phenotype reveals a mechanobiological component in breast tissue hormonal signaling and enables the development of novel therapeutic interventions. Subject terms: ER-positive (ER + ), breast cancer, ex vivo model, preclinical model, PDEC, stiffness, p38 SAPK.
Cerebrospinal fluid biomarkers in Parkinson’s disease with freezing of gait: an exploratory analysis
Authors: Hatcher-Martin J. M. , McKay J. L. , Pybus A. F. , Sommerfeld B. , Howell J. C. , Goldstein F. C. , Wood L. , Hu W. T. , Factor S. A. 
Published: November 2021

AbstractWe explore the association between three Alzheimer’s disease-related and ten inflammation-related CSF markers and freezing of gait (FOG) in patients with Parkinson’s disease (PD). The study population includes PD patients with FOG (PD-FOG,N = 12), without FOG (PD-NoFOG,N = 19), and healthy controls (HC,N = 12). Age and PD duration are not significantly different between groups. After adjusting for covariates and multiple comparisons, the anti-inflammatory marker, fractalkine, is significantly decreased in the PD groups compared to HC (P = 0.002), and further decreased in PD-FOG compared to PD-NoFOG (P = 0.007). The Alzheimer’s disease-related protein, Aβ42, is increased in PD-FOG compared to PD-NoFOG and HC (P = 0.001). Group differences obtained in individual biomarker analyses are confirmed with multivariate discriminant partial least squares regression (P < 0.001). High levels of Aβ42 in PD-FOG patients supports an increase over time from early to advanced state. Low levels of fractalkine might suggest anti-inflammatory effect. These findings warrant replication.
A real-world study of wearable sensors in Parkinson’s disease
Authors: Adams Jamie L. , Dinesh Karthik , Snyder Christopher W. , Xiong Mulin , Tarolli Christopher G. , Sharma Saloni , Dorsey E. Ray , Sharma Gaurav 
Published: November 2021

AbstractMost wearable sensor studies in Parkinson’s disease have been conducted in the clinic and thus may not be a true representation of everyday symptoms and symptom variation. Our goal was to measure activity, gait, and tremor using wearable sensors inside and outside the clinic. In this observational study, we assessed motor features using wearable sensors developed by MC10, Inc. Participants wore five sensors, one on each limb and on the trunk, during an in-person clinic visit and for two days thereafter. Using the accelerometer data from the sensors, activity states (lying, sitting, standing, walking) were determined and steps per day were also computed by aggregating over 2 s walking intervals. For non-walking periods, tremor durations were identified that had a characteristic frequency between 3 and 10 Hz. We analyzed data from 17 individuals with Parkinson’s disease and 17 age-matched controls over an average 45.4 h of sensor wear. Individuals with Parkinson’s walked significantly less (median [inter-quartile range]: 4980 [2835–7163] steps/day) than controls (7367 [5106–8928] steps/day; P = 0.04). Tremor was present for 1.6 [0.4–5.9] hours (median [range]) per day in most-affected hands (MDS-UPDRS 3.17a or 3.17b = 1–4) of individuals with Parkinson’s, which was significantly higher than the 0.5 [0.3–2.3] hours per day in less-affected hands (MDS-UPDRS 3.17a or 3.17b = 0). These results, which require replication in larger cohorts, advance our understanding of the manifestations of Parkinson’s in real-world settings.
Mucosal vaccination induces protection against SARS-CoV-2 in the absence of detectable neutralizing antibodies
Authors: Zhong Chaojie , Xia Hongjie , Adam Awadalkareem , Wang Binbin , Hajnik Renee L. , Liang Yuejin , Rafael Grace H. , Zou Jing , Wang Xiaofang , Sun Jiaren , Soong Lynn , Barrett Alan D. T. , Weaver Scott C. , Shi Pei-Yong , Wang Tian , Hu Haitao 
Published: November 2021

AbstractA candidate multigenic SARS-CoV-2 vaccine based on an MVA vector expressing both viral N and S proteins (MVA-S + N) was immunogenic, and induced T-cell responses and binding antibodies to both antigens but in the absence of detectable neutralizing antibodies. Intranasal immunization with the vaccine diminished viral loads and lung inflammation in mice after SARS-CoV-2 challenge, which correlated with the T-cell response induced by the vaccine in the lung, indicating that T-cell immunity is also likely critical for protection against SARS-CoV-2 infection in addition to neutralizing antibodies.
Epitope-coated polymer particles elicit neutralising antibodies against Plasmodium falciparum sporozoites
Authors: Evert Benjamin J. , Chen Shuxiong , McConville Robyn , Steel Ryan W. J. , Healer Julie , Boddey Justin A. , Huntimer Lucas , Rehm Bernd H. A. 
Published: November 2021

AbstractThe current Malaria RTS,S vaccine is based on virus-like particles (VLPs) comprising the NANP repetitive epitopes from the cicumsporozoite protein (CSP) of Plasmodium falciparum. This vaccine has limited efficacy, only preventing severe disease in about 30% of vaccinated individuals. A more efficacious vaccine is urgently needed to combat malaria. Here we developed a particulate malaria vaccine based on the same CSP epitopes but using biopolymer particles (BPs) as an antigen carrier system. Specific B- and T-cell epitope-coated BPs were assembled in vivo inside an engineered endotoxin-free mutant of Escherichia coli. A high-yield production process leading to ~27% BP vaccine weight over biomass was established. The epitope-coated BPs were purified and their composition, i.e., the polymer core and epitope identity, was confirmed. Epitope-coated BPs were used alongside soluble peptide epitopes and empty BPs to vaccinate sheep. Epitope-coated BPs showed enhanced immunogenicity by inducing anti-NANP antibody titre of EC50 > 150,000 that were at least 20 times higher than induced by the soluble peptides. We concluded that the additional T-cell epitope was not required as it did not enhance immunogenicity when compared with the B-cell epitope-coated BPs. Antibodies specifically bound to the surface of Plasmodium falciparum sporozoites and efficiently inhibited sporozoite motility and traversal of human hepatocytes. This study demonstrated the utility of biologically self-assembled epitope-coated BPs as an epitope carrier for inclusion in next-generation malaria vaccines.
Equilibrium in soil respiration across a climosequence indicates its resilience to climate change in a glaciated valley, western Himalaya
Authors: Tiwari Pankaj , Bhattacharya Pamela , Rawat Gopal Singh , Talukdar Gautam 
Published: November 2021

AbstractSoil respiration (SR), a natural phenomenon, emits ten times more CO2 from land than anthropogenic sources. It is predicted that climate warming would increase SR in most ecosystems and give rise to positive feedback. However, there are uncertainties associated with this prediction primarily due to variability in the relationship of SR with its two significant drivers, soil temperature and moisture. Accounting for the variabilities, we use a climosequence in Himalaya with a temperature gradient of ~ 2.1 °C to understand the variations in the response of SR and its temperature sensitivity to climate change. Results indicate an equilibrium in SR ranging from 1.92 to 2.42 µmol m−2 s−1 across an elevation gradient (3300–3900 m) despite its increased sensitivity to temperature (Q10) from 0.47 to 4.97. Additionally, moisture reduction towards lower elevation weakens the temperature-SR relationship. Finally, soil organic carbon shows similarities at all the elevations, indicating a net-zero CO2 flux across the climosequence. The findings suggest that as the climate warms in this region, the temperature sensitivity of SR reduces drastically due to moisture reduction, limiting any change in SR and soil organic carbon to rising temperature. We introduce an equilibrium mechanism in this study which indicates the resilient nature of SR to climate change and will aid in enhancing the accuracy of climate change impact projections.
Prevalence of low muscle mass and associated factors in community-dwelling older adults in Singapore
Authors: Tey Siew Ling , Huynh Dieu Thi Thu , Berde Yatin , Baggs Geraldine , How Choon How , Low Yen Ling , Cheong Magdalin , Chow Wai Leng , Tan Ngiap Chuan , Chew Samuel Teong Huang 
Published: November 2021

AbstractThe population is rapidly aging worldwide, and there is an age-related decline in muscle mass. Therefore, it is important to examine the prevalence and associated factors of low appendicular skeletal muscle mass index (ASMI) in older adults. The objectives of this cross-sectional study were (i) to determine the prevalence of low ASMI (ASM/height2) and (ii) to identify factors associated with low ASMI. This study included 1211 community-dwelling adults aged ≥ 65 years. Low ASMI was defined as < 7.0 kg/m2 in males and < 5.7 kg/m2 in females (bioelectrical impedance analysis). Gender-specific cut-off values of calf circumference for low ASMI were determined. The prevalence of low ASMI in the overall cohort was 59.9%, i.e., 57.0% among males and 61.8% among females, with no significant difference between genders (P = 0.1068). The prevalence of low ASMI was 81.3% in individuals at risk of malnutrition compared to 20.6% in their counterparts with normal nutritional status (P < 0.0001). Participants with low ASMI were older, had lower physical activity scores, and greater likelihood of hospitalization in prior 6 months compared with normal ASMI (all P < 0.0001). Low ASMI was associated with risk of malnutrition (odds ratio: 3.58 for medium risk, odds ratio: 12.50 for high risk), older age, smoking, drinking, smaller calf circumference, and lower bone mass (all P ≤ 0.0328). Cut-off values of calf circumference for low ASMI for males was 33.4 cm and for females was 32.2 cm. In conclusion, we found that low ASMI was highly prevalent among community-dwelling older adults at risk of malnutrition. Other significant factors associated with low ASMI were age, smoking, drinking, calf circumference, and bone mass. Screening community-dwelling older adults for risk of malnutrition can prevent or delay onset of low ASMI.
Camera trap placement for evaluating species richness, abundance, and activity
Authors: Tanwar Kamakshi S. , Sadhu Ayan , Jhala Yadvendradev V. 
Published: November 2021

AbstractInformation from camera traps is used for inferences on species presence, richness, abundance, demography, and activity. Camera trap placement design is likely to influence these parameter estimates. Herein we simultaneously generate and compare estimates obtained from camera traps (a) placed to optimize large carnivore captures and (b) random placement, to infer accuracy and biases for parameter estimates. Both setups recorded 25 species when same number of trail and random cameras (n = 31) were compared. However, species accumulation rate was faster with trail cameras. Relative abundance indices (RAI) from random cameras surrogated abundance estimated from capture-mark-recapture and distance sampling, while RAI were biased higher for carnivores from trail cameras. Group size of wild-ungulates obtained from both camera setups were comparable. Random cameras detected nocturnal activities of wild ungulates in contrast to mostly diurnal activities observed from trail cameras. Our results show that trail and random camera setup give similar estimates of species richness and group size, but differ for estimates of relative abundance and activity patterns. Therefore, inferences made from each of these camera trap designs on the above parameters need to be viewed within this context.
Predicting the current and future global distribution of the invasive freshwater hydrozoan Craspedacusta sowerbii
Authors: Marchessaux Guillaume , Lüskow Florian , Sarà Gianluca , Pakhomov Evgeny A. 
Published: November 2021

AbstractThe freshwater jellyfish Craspedacusta sowerbii is one of the most widespread invasive species, but its global distribution remains uncertain due to ephemeral appearances and general lack of information in various aquatic environments. The aim of this study was to map current and future distributions (2050 and 2100) using Species Distribution Models allowing to visualize the habitat suitability and make projections of its changes under potential climate change scenarios. Except in Oceania where the range decreased, an expansion of C. sowerbii was projected during the next century under modeled future scenarios being most intensive during the first half of the century. The present study shows that the expansion of C. sowerbii worldwide would be facilitated mainly by precipitation, vapor pressure, and temperature. The predictions showed that this species over the eighty years will invade high-latitude regions in both hemispheres with ecological consequences in already threatened freshwater ecosystems.
Multisensory stimuli shift perceptual priors to facilitate rapid behavior
Authors: Plass John , Brang David 
Published: November 2021

AbstractMultisensory stimuli speed behavioral responses, but the mechanisms subserving these effects remain disputed. Historically, the observation that multisensory reaction times (RTs) outpace models assuming independent sensory channels has been taken as evidence for multisensory integration (the “redundant target effect”; RTE). However, this interpretation has been challenged by alternative explanations based on stimulus sequence effects, RT variability, and/or negative correlations in unisensory processing. To clarify the mechanisms subserving the RTE, we collected RTs from 78 undergraduates in a multisensory simple RT task. Based on previous neurophysiological findings, we hypothesized that the RTE was unlikely to reflect these alternative mechanisms, and more likely reflected pre-potentiation of sensory responses through crossmodal phase-resetting. Contrary to accounts based on stimulus sequence effects, we found that preceding stimuli explained only 3–9% of the variance in apparent RTEs. Comparing three plausible evidence accumulator models, we found that multisensory RT distributions were best explained by increased sensory evidence at stimulus onset. Because crossmodal phase-resetting increases cortical excitability before sensory input arrives, these results are consistent with a mechanism based on pre-potentiation through phase-resetting. Mathematically, this model entails increasing the prior log-odds of stimulus presence, providing a potential link between neurophysiological, behavioral, and computational accounts of multisensory interactions.
Automatic detection of mesiodens on panoramic radiographs using artificial intelligence
Authors: Ha Eun-Gyu , Jeon Kug Jin , Kim Young Hyun , Kim Jae-Young , Han Sang-Sun 
Published: November 2021

AbstractThis study aimed to develop an artificial intelligence model that can detect mesiodens on panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients were used for training. A convolutional neural network (CNN) model based on YOLOv3 for detecting mesiodens was developed. The model performance according to three dentition groups (primary, mixed, and permanent dentition) was evaluated, both internally (130 images) and externally (118 images), using a multi-center dataset. To investigate the effect of image preprocessing, contrast-limited histogram equalization (CLAHE) was applied to the original images. The accuracy of the internal test dataset was 96.2% and that of the external test dataset was 89.8% in the original images. For the primary, mixed, and permanent dentition, the accuracy of the internal test dataset was 96.7%, 97.5%, and 93.3%, respectively, and the accuracy of the external test dataset was 86.7%, 95.3%, and 86.7%, respectively. The CLAHE images yielded less accurate results than the original images in both test datasets. The proposed model showed good performance in the internal and external test datasets and had the potential for clinical use to detect mesiodens on panoramic radiographs of all dentition types. The CLAHE preprocessing had a negligible effect on model performance.
An insight into thermal properties of BC3-graphene hetero-nanosheets: a molecular dynamics study
Authors: Dehaghani Maryam Zarghami , Molaei Fatemeh , Yousefi Farrokh , Sajadi S. Mohammad , Esmaeili Amin , Mohaddespour Ahmad , Farzadian Omid , Habibzadeh Sajjad , Mashhadzadeh Amin Hamed , Spitas Christos , Saeb Mohammad Reza 
Published: November 2021

AbstractSimulation of thermal properties of graphene hetero-nanosheets is a key step in understanding their performance in nano-electronics where thermal loads and shocks are highly likely. Herein we combine graphene and boron-carbide nanosheets (BC3N) heterogeneous structures to obtain BC3N-graphene hetero-nanosheet (BC3GrHs) as a model semiconductor with tunable properties. Poor thermal properties of such heterostructures would curb their long-term practice. BC3GrHs may be imperfect with grain boundaries comprising non-hexagonal rings, heptagons, and pentagons as topological defects. Therefore, a realistic picture of the thermal properties of BC3GrHs necessitates consideration of grain boundaries of heptagon-pentagon defect pairs. Herein thermal properties of BC3GrHs with various defects were evaluated applying molecular dynamic (MD) simulation. First, temperature profiles along BC3GrHs interface with symmetric and asymmetric pentagon-heptagon pairs at 300 K, ΔT = 40 K, and zero strain were compared. Next, the effect of temperature, strain, and temperature gradient (ΔT) on Kaptiza resistance (interfacial thermal resistance at the grain boundary) was visualized. It was found that Kapitza resistance increases upon an increase of defect density in the grain boundary. Besides, among symmetric grain boundaries, 5–7–6–6 and 5–7–5–7 defect pairs showed the lowest (2 × 10–10 m2 K W−1) and highest (4.9 × 10–10 m2 K W−1) values of Kapitza resistance, respectively. Regarding parameters affecting Kapitza resistance, increased temperature and strain caused the rise and drop in Kaptiza thermal resistance, respectively. However, lengthier nanosheets had lower Kapitza thermal resistance. Moreover, changes in temperature gradient had a negligible effect on the Kapitza resistance.
Selective KRAS G12C inhibitors in non-small cell lung cancer: chemistry, concurrent pathway alterations, and clinical outcomes
Authors: Palma Gabriela , Khurshid Faisal , Lu Kevin , Woodward Brian , Husain Hatim 
Published: November 2021

AbstractCancers harboring mutations in the Kirsten rat sarcoma homolog (KRAS) gene have been associated with poor prognosis and lack of targeted therapies. KRAS mutations occur in approximately one in four patients diagnosed with non-small cell lung cancer (NSCLC) with KRAS G12C mutations harbored at approximately 11–16%. Research into KRAS-driven tumors and analytical chemistry have borne a new class of selective small molecules against the KRAS G12C isoform. Phase II data for sotorasib (AMG510) has demonstrated a 37.1% overall response rate (ORR). Adagrasib (MRTX849) has demonstrated a 45% ORR in an early study. While single agent efficacy has been seen, initial data suggest combination approaches are an opportunity to improve outcomes. Here, we present perspectives on the initial progress in targeting KRAS G12C, examine co-mutations evident in KRAS G12C NSCLC, and comment on potential future combinatorial approaches including SHP2, SOS1, MEK, EGFR, mTOR, CDK, and checkpoint blockade which are currently being evaluated in clinical trials. As of May 28, 2021, sotorasib has achieved US FDA approval for patients with KRAS G12C mutant lung cancer after one line of a prior therapy.
Using a Collaborative Academic Conversation Approach to Improve Language and Literacy
Authors: Dunaway Claudia , Lewis Carlee 
Published: November 2021

Purpose:This tutorial describes a comprehensive approach to the development of collaborative academic conversations in older students with language delays and impairments. Support materials including a link to an instructional video are provided.Conclusions:These students require systematic, explicit instruction to develop competence and to acquire the thinking and language skills required to productively engage in a collaborative academic conversation. Speech-language pathologists are uniquely equipped to prepare students for gainful participation and to collaborate with classroom teachers, ensuring transfer of language and thinking skills.Supplemental Material:https://doi.org/10.23641/asha.16799545
Supporting Content and Disciplinary Literacy Success for Adolescents With LLD: A Blended and Contextualized Morphological Awareness Strategy Approach
Authors: Wolter Julie A. , Green Laura 
Published: November 2021

Purpose:As adolescents progress through the upper grades, reading and writing demands become increasingly challenging for students with and without a language and literacy deficit (LLD). The literacy education community recommends that reading and writing instruction be infused in the academic curriculum and emphasizes disciplinary literacy practices. Disciplinary literacy may be too advanced for adolescents with LLD who have not yet mastered foundational written language skills.Method:A discussion is provided for how general strategy instruction, also referred to as a content area or a content literacy approach, might be integrated with disciplinary literacy practices for adolescents with and without LLD. We specifically present how morphological awareness intervention, with an explicit focus on meaning structure and related language analysis of words, can be linked to learning academic vocabulary. Our blended approach includes both content and disciplinary literacy strategies in the context of the academic science curriculum.Conclusions:Adolescents with and without LLD require ongoing support of their literacy development well beyond the elementary school years. It is important that this support include not only mastery of foundational general strategies to access complex text content in a proficient manner but also active and explicit reflection on the social complexities of text as it relates to specific disciplines. Together, such instruction and intervention, when directly applied to the academic curriculum, can help older students of all abilities achieve the optimal comprehension and learning required for academic success.