bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seratrodast inhibits ferroptosis by suppressing lipid peroxidation
Authors: Tschuck Juliane , Tonnus Wulf , Gavali Shubhangi , Kolak Andrea , Mallais Melodie , Maremonti Francesca , Sato Mami , Rothenaigner Ina , Friedmann Angeli José Pedro , Pratt Derek A. , Linkermann Andreas , Hadian Kamyar 
Published: November 2024

AbstractFerroptosis is a regulated and non-apoptotic form of cell death mediated by iron-dependent peroxidation of polyunsaturated fatty acyl tails in phospholipids. Research of the past years has shed light on the occurrence of ferroptosis in organ injury and degenerative diseases of the brain, kidney, heart, and other tissues. Hence, ferroptosis inhibition may prove therapeutically beneficial to treat distinct diseases. In this study, we explored the ferroptosis-modulating activity of seratrodast, an inhibitor of thromboxane A2 (TXA2) receptor, which is approved in some countries for the treatment of asthma. Interestingly, seratrodast suppressed ferroptosis, but not apoptosis and necroptosis; thus, demonstrating selective anti-ferroptotic activity. While seratrodast itself does not inhibit lipid peroxidation, it exhibits potent radical-trapping antioxidant activity upon reduction to its corresponding hydroquinone form—analogously to ubiquinone and vitamin K. Importantly, seratrodast ameliorated the severity of renal ischemia-reperfusion injury in mice. Together, this study provides a drug repurposing case, where seratrodast—a marketed drug—can undergo fast-forward preclinical/clinical development for the inhibition of ferroptosis in distinct degenerative diseases.
Systemic tumor regression with synergy therapy: radiotherapy and CAR-T
Authors: Ma Xingyu , Zhang Wei , Zeng Miao , Asavasupreechar Teeranut , Kang Synat , Li Yisheng , Yu Li 
Published: November 2024

AbstractPancreatic ductal adenocarcinoma (PDAC) is one of the most poorly prognostic digestive tract malignancies. CLDN18.2 CAR-T therapy has recently shown promising clinical effects in PDAC. Radiotherapy, a traditional treatment, can induce systemic immune activation and abscopal effects. However, the synergistic effect and mechanism of their combination in PDAC treatment remain poorly understood. In this study, we developed a CLDN18.2-specific CAR-T and applied it to unilateral and bilateral mouse tumor models. Our results demonstrated that this synergy therapy not only improved tumor-killing effects in unilateral tumor-bearing mice but also induced regression in both local and distant tumors in bilateral tumor models. Mechanistically, early radiation-induced apoptosis promoted the proliferation of CD8 + T cells, while increased chemokine CCL2 levels from localized and distant tumor sites facilitated CAR-T and endogenous T cell infiltration, leading to systemic tumor suppression. This study proposes a promising approach for treating metastatic pancreatic cancer by combining radiotherapy and CAR-T therapy, elucidating the mechanism of CAR-T cell-enhanced radiotherapy effects ex vivo, and highlighting a novel strategy for combating metastatic pancreatic cancer.
Band anisotropy and effective mass renormalization in strained metallic VO2 (101) thin films
Authors: D’Elia A. , Polewczyk V. , Petrov A. Y. , Vinai G. , Li L. , Zou C. W. , Rezvani S. J. , Marcelli A. 
Published: November 2024

Abstract
We explore how strain impacts the band structure of metallic-phase VO2 thin films deposited on TiO2(101) substrates. Employing a combination of X-ray absorption linear dichroism and valence band measurements, we demonstrate that strain can alter the intrinsic band structure anisotropy of metallic VO2. Our findings reveal that reducing the thickness of VO2 films leads to a more isotropic band structure. This observation is further supported by an analysis of the electronic population redistribution in the

$${d}_{{||}}{-}{\pi }^{* }$$

d

||

−

π

*

bands, which affects the screening length and induces effective mass renormalization. Overall, our results underscore the potential of strain manipulation in tailoring the electronic structure uniformity of thin films, thereby expanding the scope for engineering VO2 functionalities.
Molecular beam epitaxial In2Te3 electronic devices
Authors: Kim Imhwan , Ryu Jinseok , Lee Eunsu , Lee Sangmin , Lee Seokje , Suh Wonwoo , Lee Jamin , Kim Miyoung , Oh Hong seok , Yi Gyu-Chul 
Published: November 2024

Abstract
We report on the electrical characteristics of field-effect transistors (FETs) and Schottky diodes based on In2Te3 grown on hexagonal boron nitride (h-BN) substrates utilizing molecular beam epitaxy (MBE). A two-step growth method was used to increase surface coverage and large grain sizes for high-quality In2Te3. Scanning transmission electron microscopy (STEM) imaging revealed an atomically clean and abrupt interface between the In2Te3 and h-BN substrates. Compared with the previously reported In2Te3 FETs, the MBE-grown In2Te3 FETs exhibited superior electrical properties, including a mobility of 6.07 cm2 V−1 s−1, a subthreshold swing close to 6 V dec−1, and an impressive on/off ratio of approximately 105. Furthermore, the Ti/In2Te3 Schottky diodes exhibit a low saturation current of 0.4 nA, an ideality factor of 26.7, and a Schottky barrier height of 0.68 eV.
A multi-regional human brain atlas of chromatin accessibility and gene expression facilitates promoter-isoform resolution genetic fine-mapping
Authors: Dong Pengfei , Song Liting , Bendl Jaroslav , Misir Ruth , Shao Zhiping , Edelstien Jonathan , Davis David A. , Haroutunian Vahram , Scott William K. , Acker Susanne , Lawless Nathan , Hoffman Gabriel E. , Fullard John F. , Roussos Panos 
Published: November 2024

AbstractBrain region- and cell-specific transcriptomic and epigenomic features are associated with heritability for neuropsychiatric traits, but a systematic view, considering cortical and subcortical regions, is lacking. Here, we provide an atlas of chromatin accessibility and gene expression profiles in neuronal and non-neuronal nuclei across 25 distinct human cortical and subcortical brain regions from 6 neurotypical controls. We identified extensive gene expression and chromatin accessibility differences across brain regions, including variation in alternative promoter-isoform usage and enhancer-promoter interactions. Genes with distinct promoter-isoform usage across brain regions were strongly enriched for neuropsychiatric disease risk variants. Moreover, we built enhancer-promoter interactions at promoter-isoform resolution across different brain regions and highlighted the contribution of brain region-specific and promoter-isoform-specific regulation to neuropsychiatric disorders. Including promoter-isoform resolution uncovers additional distal elements implicated in the heritability of diseases, thereby increasing the power to fine-map risk genes. Our results provide a valuable resource for studying molecular regulation across multiple regions of the human brain and underscore the importance of considering isoform information in gene regulation.
Exhaustive search for novel multicomponent alloys with brute force and machine learning
Authors: Zinkovich Viktoriia , Sotskov Vadim , Shapeev Alexander , Podryabinkin Evgeny 
Published: November 2024

AbstractWe present an algorithm for the high-throughput computational discovery of intermetallic compounds in systems with a large number of components. It is particularly important for high entropy alloys (HEAs), where multiple principal elements can form numerous potential intermetallic compounds during the condensation process, making it challenging to predict the dominant phase. Our algorithm is based on a brute-force evaluation of candidate structures with a fixed underlying lattice (FCC or BCC) accelerated by machine-learning interatomic potentials. The algorithm takes a set of chemical elements and a crystal lattice type as inputs and produces structures on and near the convex hull of thermodynamically stable structures. The candidate structures are evaluated using the low-rank potential (LRP), trained to reproduce energies of structures equilibrated with density functional theory (DFT). Thanks to extreme computational effectiveness of the LRP, it is feasible to evaluate hundreds of thousands of structures per second, per CPU core. Thus, our algorithm screens a complete set of candidate structures for a given system without missing any configurations. We validated our method on systems with BCC (Nb-W, Nb-Mo-W, V-Nb-Mo-Ta-W) and FCC (Cu-Pt, Cu-Pd-Pt, Cu-Pd-Ag-Pt-Au) lattices and discovered 268 new alloys not reported in the AFLOW database1, which we used as a benchmark.
Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease
Authors: Miyoshi Emily , Morabito Samuel , Henningfield Caden M. , Das Sudeshna , Rahimzadeh Negin , Shabestari Sepideh Kiani , Michael Neethu , Emerson Nora , Reese Fairlie , Shi Zechuan , Cao Zhenkun , Srinivasan Shushrruth Sai , Scarfone Vanessa M. , Arreola Miguel A. , Lu Jackie , Wright Sierra , Silva Justine , Leavy Kelsey , Lott Ira T. , Doran Eric , Yong William H. , Shahin Saba , Perez-Rosendahl Mari ,   Alzheimer’s Biomarkers Consortium–Down Syndrome (ABC–DS), Head Elizabeth , Green Kim N. , Swarup Vivek 
Published: November 2024

AbstractThe pathogenesis of Alzheimer’s disease (AD) depends on environmental and heritable factors, with its molecular etiology still unclear. Here we present a spatial transcriptomic (ST) and single-nucleus transcriptomic survey of late-onset sporadic AD and AD in Down syndrome (DSAD). Studying DSAD provides an opportunity to enhance our understanding of the AD transcriptome, potentially bridging the gap between genetic mouse models and sporadic AD. We identified transcriptomic changes that may underlie cortical layer-preferential pathology accumulation. Spatial co-expression network analyses revealed transient and regionally restricted disease processes, including a glial inflammatory program dysregulated in upper cortical layers and implicated in AD genetic risk and amyloid-associated processes. Cell–cell communication analysis further contextualized this gene program in dysregulated signaling networks. Finally, we generated ST data from an amyloid AD mouse model to identify cross-species amyloid-proximal transcriptomic changes with conformational context.
Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy
Authors: Tang Zheng , Duckworth Edward , Mora Benjamin , Al - Sarireh Bilal , Mortimer Matthew , Roy Debdulal 
Published: November 2024

AbstractThis study introduces a novel approach for the early detection of pancreatic cancer through biofluid spectroscopy, leveraging a unique machine learning pipeline comprising class-specific principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machine (SVM) in both real patient and synthetic data. By conducting separate PCA on cancerous and non-cancerous samples and integrating the projections prior to LDA and SVM classification, we demonstrate significantly improved diagnostic accuracy compared to traditional methods. This methodology not only enhances predictive performance but also offers deeper insights into the influence of molecular spectra on model efficacy. Our findings, validated on real patient data, suggest a promising avenue for developing non-invasive, accurate diagnostic tools for early-stage pancreatic cancer detection.
The COVID-19 pandemic and social cognitive outcomes in early childhood
Authors: Scott Rose M. , Nguyentran Gabriel , Sullivan James Z. 
Published: November 2024

AbstractThe COVID-19 pandemic and ensuing lockdowns led to sweeping changes in the everyday lives of children and families, including school closures, remote work and learning, and social distancing. To date no study has examined whether these profound changes in young children’s day to day social interactions impacted the development of social cognition skills in early childhood. To address this question, we compared the performance of two cohorts of 3.5- to 5.5-year-old children tested before and after the COVID-19 lockdowns on several measures of false-belief understanding, a critical social cognition skill that undergoes important developments in this age range. Controlling for age and language skills, children tested after the pandemic demonstrated significantly worse false-belief understanding than those tested before the pandemic, and this difference was larger for children from lower socioeconomic status (SES) backgrounds. These results suggest that the pandemic negatively impacted the development of social cognition skills in early childhood, especially for lower SES children.
Impact of fuel sulfur regulations on carbonaceous particle emission from a marine engine
Authors: Bauer Martin , Czech Hendryk , Anders Lukas , Passig Johannes , Etzien Uwe , Bendl Jan , Streibel Thorsten , Adam Thomas W. , Buchholz Bert , Zimmermann Ralf 
Published: November 2024

AbstractShip traffic substantially contributes to air pollution, thus affecting climate and human health. Recently introduced regulations by the International Maritime Organization (IMO) on the fuel sulfur content (FSC) caused a shift in marine fuel onsumption from heavy fuel oils (HFO) to diesel-like distillate fuels, but also to alternative hybrid fuels and the operation of sulfur scrubbers. Using multi-wavelength thermal-optical carbon analysis (MW-TOCA), our study provides emission factors (EF) of carbonaceous aerosol particles and link the fuel composition to features observed in the soot microstructure, which may be exploited in online monitoring by single-particle mass spectrometry (SPMS). Particulate matter from distillate fuels absorbs stronger light of the visible UV and near-infrared range than HFO. However, Simple Forcing Efficiency (SFE) of absorption weighted by EF of total carbon compensated the effect, leading to a net reduction by >50% when changing form HFO to distillate fuels.
Directed motion of cognitive active agents in a crowded three-way intersection
Authors: Iyer Priyanka , Negi Rajendra Singh , Schadschneider Andreas , Gompper Gerhard 
Published: November 2024

AbstractUnderstanding the navigation through semi-dense crowds at intersections poses a significant challenge in pedestrian dynamics, with implications for facility design and insights into emergent collective behavior. To tackle this problem, a system of cognitive active agents at a crowded three-way intersection is studied using Langevin simulations of intelligent active Brownian particles (iABPs) with directed visual perception (resulting in non-reciprocal interactions) and self-steering avoidance—without volume exclusion. We find that the emergent self-organization depends on agent maneuverability, goal fixation, and vision angle, and identify several forms of collective behavior, including localized flocking, jamming and percolation, and self-organized rotational flows. Additionally, we demonstrate that the motion of individual agents can be characterized by fractional Brownian motion and Lévy walk models across different parameter regimes. Moreover, despite the rich variety of collective behavior, the fundamental flow diagram shows a universal curve for different vision angles. Our research highlights the impact of collision avoidance, goal following, and vision angle on the individual and collective dynamics of interacting pedestrians.
A systematic review of healthcare experiences of women and men living with coronary heart disease
Authors: Brown Helen , Lucas James J. , Gauci Sarah , Brown Courtney , Brumby Susan , Felmingham Tiana , Lee Crystal M. Y. , Randall Sean , Mnatzaganian George , Robinson Suzanne , Gao Lan , Boyd James , O’Neil Adrienne , Xu Dan , Richards Kieva , Lee Ling , Huxley Rachel R. 
Published: November 2024

AbstractCoronary heart disease (CHD) is the leading cause of morbidity and mortality for people worldwide, yet differences in the likelihood of receiving optimal care occur depend on gender. This study therefore aimed to explore the healthcare experiences of men and women living with CHD. A systematic search of qualitative research was undertaken, following PRISMA guidelines. Forty-three studies were included for review, involving 1512 people (62% women, 38% men; 0% non-binary or gender diverse). Thematic synthesis of the data identified four themes: (1) assumptions about CHD; (2) gender assigned roles; (3) interactions with health care; and (4) return to ‘normal’ life. A multilevel approach across the entire ecosystem of healthcare is required to improve equity in care experienced by people living with CHD. This will involve challenging both the individuals’ knowledge of CHD and awareness of health professionals to entrenched gender bias in the health system that predominantly favours men.
STING induces HOIP-mediated synthesis of M1 ubiquitin chains to stimulate NF-κB signaling
Authors: Fischer Tara D , Bunker Eric N , Zhu Peng-Peng , Le Guerroué François , Hadjian Mahan , Dominguez-Martin Eunice , Scavone Francesco , Cohen Robert , Yao Tingting , Wang Yan , Werner Achim , Youle Richard J 
Published: November 2024

AbstractSTING activation by cyclic dinucleotides induces IRF3- and NF-κB-mediated gene expression in mammals, as well as lipidation of LC3B at Golgi-related membranes. While mechanisms of the IRF3 response are well understood, the mechanisms of NF-κB activation via STING remain unclear. We report here that STING activation induces linear/M1-linked ubiquitin chain (M1-Ub) formation and recruitment of the LUBAC E3 ligase, HOIP, to LC3B-associated Golgi membranes where ubiquitin is also localized. Loss of HOIP prevents formation of M1-Ub chains and reduces STING-induced NF-κB and IRF3 signaling in human THP1 monocytes and mouse bone marrow-derived macrophages, without affecting STING activation. STING-induced LC3B lipidation is not required for M1-Ub chain formation or for immune-related gene expression, but the recently reported STING function in neutralizing Golgi pH may be involved. Thus, LUBAC synthesis of M1-linked ubiquitin chains mediates STING-induced innate immune signaling.
The DNA demethylase TET1 modifies the impact of maternal folic acid status on embryonic brain development
Authors: Chen Lehua , van der Veer Bernard K , Chen Qiuying , Champeris Tsaniras Spyridon , Brangers Wannes , Kwak Harm H M , Khoueiry Rita , Lei Yunping , Cabrera Robert , Gross Steven S , Finnell Richard H , Koh Kian Peng 
Published: November 2024

AbstractFolic acid (FA) is well known to prevent neural tube defects (NTDs), but we do not know why many human NTD cases still remain refractory to FA supplementation. Here, we investigate how the DNA demethylase TET1 interacts with maternal FA status to regulate mouse embryonic brain development. We determined that cranial NTDs display higher penetrance in non-inbred than in inbred Tet1−/− embryos and are resistant to FA supplementation across strains. Maternal diets that are either too rich or deficient in FA are linked to an increased incidence of cranial deformities in wild type and Tet1+/− offspring and to altered DNA hypermethylation in Tet1−/− embryos, primarily at neurodevelopmental loci. Excess FA in Tet1−/− embryos results in phospholipid metabolite loss and reduced expression of multiple membrane solute carriers, including a FA transporter gene that exhibits increased promoter DNA methylation and thereby mimics FA deficiency. Moreover, FA deficiency reveals that Tet1 haploinsufficiency can contribute to DNA hypermethylation and susceptibility to NTDs. Overall, our study suggests that epigenetic dysregulation may underlie NTD development despite FA supplementation.
Using and Modifying Standardized Restorative Treatments in Aphasia: Clinician Perspectives
Authors: Zimmerman Reva M. , Obermeyer Jessica , Schlesinger Julie , Silkes JoAnn P. 
Published: November 2024

Purpose:
Aphasia treatment should be individualized, so clinicians are likely modifying established treatment paradigms to fit client needs. Little extant research describes which treatment protocols clinicians modify, how and why they modify their treatments, and what sources they use to guide their modifications. The purpose of this study was to gain insights into these issues.

Method:
A Qualtrics survey was distributed through speech-language pathology–related professional and social media networks from January through June 2023. Forty-seven speech-language pathologists provided basic information on assessment and treatment approaches that they use, and 32 respondents provided detailed responses regarding their current treatment practices.

Results:
The two restitutive aphasia treatments clinicians reported using most often were Semantic Feature Analysis and Verb Network Strengthening Treatment. The reasons for using these two treatments were that they are easy to administer, patients enjoy them, and they are perceived to be effective. Most clinicians reported that they often modify aphasia treatment protocols for a variety of reasons. These included matching patients' linguistic profiles by changing stimuli or the presentation modality as well as meeting time constraints and productivity standards. Respondents reported that they mostly rely on their personal experience, suggestions from colleagues, and linguistic theory to guide their modifications.

Conclusions:
Clinicians often modify standardized treatments to balance their patients' needs and the demands of their settings and typically rely on personal experience to do so. In the future, more clinician–researcher partnerships and investigations of active treatment ingredients are needed to support clinicians in making efficient and effective treatment modifications.

Supplemental Material:

https://doi.org/10.23641/asha.27703662
Race Identification in American English
Authors: Holt Yolanda Feimster , Bent Tessa , Baese-Berk Melissa , Rothermich Kathrin 
Published: November 2024

Purpose:
This study examined the race identification of Southern American English speakers from two geographically distant regions in North Carolina. The purpose of this work is to explore how talkers' self-identified race, talker dialect region, and acoustic speech variables contribute to listener categorization of talker races.

Method:
Two groups of listeners heard a series of /h/–vowel–/d/ (/hVd/) words produced by Black and White talkers from East and West North Carolina, respectively.

Results:
Both Southern (North Carolina) and Midland (Indiana) listeners accurately categorized the race of all speakers with greater-than-chance accuracy; however, Western North Carolina Black talkers were categorized with the lowest accuracy, just above chance.

Conclusions:
The results suggest that similarities in the speech production patterns of West North Carolina Black and White talkers affect the racial categorization of Black, but not White talkers. The results are discussed with respect to the acoustic spectral features of the voices present in the sample population.