bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sleep duration and efficiency moderate the effects of prenatal and childhood ambient pollutant exposure on global white matter microstructural integrity in adolescence
Authors: Cotter Devyn L. , Kiss Orsolya , Ahmadi Hedyeh , de Jesus Alethea , Schwartz Joel , Baker Fiona C. , Hackman Daniel A. , Herting Megan M. 
Published: February 2025

AbstractBackgroundAir pollution is a ubiquitous neurotoxicant associated with alterations in structural connectivity. Good habitual sleep may be an important protective lifestyle factor due to its involvement in the brain waste clearance and its bidirectional relationship with immune function. Wearable multisensory devices may provide more objective measures of sleep quantity and quality. We investigated whether sleep duration and efficiency moderated the relationship between prenatal and childhood pollutant exposure and whole-brain white matter microstructural integrity at ages 10-13 years.MethodsWe used multi-shell diffusion-weighted imaging data collected on 3T MRI scanners and objective sleep data collected with Fitbit Charge 2 from the 2-year follow-up visit for 2178 subjects in the Adolescent Brain Cognitive Development Study®. White matter tracts were identified using a probabilistic atlas. Restriction spectrum imaging was performed to extract restricted normalized isotropic (RNI) and directional (RND) signal fraction parameters for all white matter tracts, then averaged to calculate global measures. Sleep duration was calculated by summing the time spent in each sleep stage; sleep efficiency was calculated by dividing sleep duration by time spent in bed. Using an ensemble-based modeling approach, air pollution concentrations of PM2.5, NO2, and O3were assigned to each child’s residential addresses during the prenatal period (9-month average before birthdate) as well as at ages 9- 10 years. Multi-pollutant linear mixed effects models assessed the associations between global RNI and RND and sleep-by-pollutant interactions, adjusting for appropriate covariates.ResultsSleep duration interacted with childhood NO2exposure and sleep efficiency interacted with prenatal O3exposure to affect RND at ages 10-13 years. Longer sleep duration and higher sleep efficiency in the context of higher pollutant exposure was associated with lower RND compared to those with similar pollutant exposure but shorter sleep duration and lower sleep efficiency.ConclusionsLow-level air pollution poses a risk to brain health in youth, and healthy sleep duration and efficiency may increase resilience to its harmful effects on white matter microstructural integrity. Future studies should evaluate the generalizability of these results in more diverse cohorts as well as utilize longitudinal data to understand how sleep may impact brain health trajectories in the context of pollution over time.
L-DOPA induces spatially discrete changes in gene expression in the forebrain of mice with a progressive loss of dopaminergic neurons
Authors: Radlicka-Borysewska Anna , Ziemiańska Magdalena , Zięba Mateusz , Szumiec Łukasz , Bagińska Monika , Chrószcz Magdalena , Gołda Sławomir , Hajto Jacek , Korostyński Michał , Kreiner Grzegorz , Pera Joanna , Piechota Marcin , Parkitna Jan Rodriguez 
Published: February 2025

ABSTRACTL-3,4-Dihydroxyphenylalanine (L-DOPA) is effective at alleviating motor impairments in Parkinson’s disease (PD) patients but has mixed effects on nonmotor symptoms and causes adverse effects after prolonged treatment. Here, we analyzed the spatial profile of L-DOPA-induced gene expression in the forebrain of mice with an inducible progressive loss of dopaminergic neurons (the TIF-IADATCreERT2strain), with a focus on the similarities and differences in areas relevant to different PD symptoms. The animals received a 14-day L-DOPA treatment, and 1 h after the final drug injection, a spatial transcriptome analysis was performed on coronal forebrain sections. A total of 121 genes were identified as being regulated by L-DOPA. We found that the treatment had widespread effects extending beyond the primary areas involved in dopamine-dependent movement control. An unsupervised clustering analysis of the transcripts recapitulated the forebrain anatomy and indicated both ubiquitous and region-specific effects on transcription. The changes were most pronounced in layers 2/3 and 5 of the dorsal cortex and the dorsal striatum, where a robust increase in the abundance of activity-regulated transcripts, includingFos,Egr1, andJunb, was observed. Conversely, transcripts with a decreased abundance, e.g.,Plekhm2orPgs1, were identified primarily in the piriform cortex, the adjacent endopiriform nucleus, and the claustrum. Taken together, our spatial analysis of L-DOPA-induced alterations in gene expression reveals the anatomical complexity of treatment effects, identifying novel genes affected by the drug, as well as molecular activation in brain areas relevant to the nonmotor symptoms of PD.
A viral transduction approach for iPSC differentiation into cortisol-producing steroidogenic cells
Authors: Lee-Glover Laurie P. , Shutt Timothy E. 
Published: February 2025

AbstractSteroid hormones are important signaling molecules that are primarily produced by specialized cells. The ability to culture steroidogenic cells is critical to study this important process. While a few steroidogenic cell lines are available for study, they are typically derived from cancer patients and do not reflect genetic alterations in steroidogenic genes that cause human disease. In this regard, iPSCs are a powerful tool for modeling human disease, as patient-derived iPSCs can be differentiated into a variety of different cell types. While other approaches exist to differentiate iPSCs into steroidogenic cells, they are typically complex and time consuming. In contrast, a simple approach based on lentivirus transduction of SF1, the master regulator of steroidogenesis, can differentiate multiple types of cultured cells into a steroidogenic state. However, we show here that this approach does not work for iPSCs. To circumvent this limitation, we report a simple adaptation that first differentiates iPSCs to embryoid bodies prior of SF1 transduction. With this modified approach, we provide a straightforward cost-effective approach to differentiate iPSCs into actively steroidogenic cells.
Local adaptation of the mosquito vector,Aedes aegypti,and implications for predicting the effects of temperature and climate change on dengue transmission
Authors: Dennington Nina L. , Grossman Marissa K. , Teeple Janet L. , Johnson Leah R. , Shocket Marta S. , McGraw Elizabeth A. , Thomas Matthew B. 
Published: February 2025

AbstractThere is concern that increases in temperature due to climate change could lead to shifts in the dynamics and distribution of mosquito vectors. Many current models assume there are ’average’ thermal performance curves for a given vector species transmission. However, this ‘one-size-fits-all’ assumption ignores the potential for local adaptation to create population-specific differences in thermal performance. In this study, we explored thermal performance of five independent field populations ofAe. aegyptifrom Mexico, together with a standard laboratory strain. We reared these six populations at temperatures between 13°C-37°C to generate thermal performance curves for a suite of life-history traits. Composite models integrating these traits revealed the effects of temperature on population growth rates and dengue virus transmission potential. The results provide strong evidence for the potential for local adaptation inAe. aegyptipopulations, challenging applicability of ‘one-size-fits-all’ thermal performance models to assess climate impact on mosquito-borne diseases.
Maximum entropy networks show that plant-arbuscular mycorrhizal fungal associations are anti-nested and modular
Authors: Ajaz Sobia , Amin Nida , López-García Álvaro , Birt Henry , Pajares-Murgó Mariona , Lanfranco Luisa , Garrido José L. , Alcántara Julio M. , Rillig Matthias C. , Johnson David , Caruso Tancredi 
Published: February 2025

AbstractMany applications of network theory to plant-mycorrhizal associations have used a bipartite description, in which one set of nodes is the plants, and the other set is the fungi. Most applications have relied on null models from algorithms that randomly rewire the observed connections to test for non-random patterns in the network. We used existing plant-arbuscular mycorrhizal (AM) fungal datasets to apply a new, well validated generation of network models relaxing the very limiting assumptions of traditional null models. We focused on nestedness and modularity, which have been related to the functioning and stability of communities. Given the existent literature, we expected nestedness and modularity to be prevalent. We modelled plant-AM fungal associations using maximum entropy networks with a degree sequence, soft constraint to generate null distributions for nestedness and modularity. Most plant-AM fungal associations were anti-nested and modular. This pattern was consistent across habitat types and multiple spatial scales. Anti-nestedness can easily emerge from modularity when network patterns are determined by the identity of the plant and AM fungal nodes. Future studies will have to test how the observed patterns determine the ability of the associations to adapt to environmental changes.
Discovery of a Novel Double-Stranded DNA Virus Reveals its Long-term Co-evolution with Ants
Authors: Jiang Shengqiang , Zhang Liangliang , Guo Xingyu , Li Jianchao , Hu Jing , He Hong , Chen Hongying 
Published: February 2025

AbstractLarge double-stranded DNA (dsDNA) viruses have been shown to have a wide host range in insects. However, their infection in ants has not yet been described. In this study, a novel filamentous virus, Camponotus japonicus labial gland disease virus (CjLGDV), was identified in the enlarged labial gland ofCamponotus japonicus. By transmission electron microscopy, the nucleus of infected labial gland cell was shown to be full of non-enveloped nucleocapsids, and enveloped virus particles were observed in the cytoplasm. Genome sequencing analysis shows that CjLGDV possesses a circular dsDNA genome of 142 kb. By sequence alignment, a CjLGDV-like viral genome was found inAnoplolepis gracilipes, and conservation of gene synteny was observed between CjLGDV and the CjLGDV-like virus. Phylogenetic analysis suggests that CjLGDV and CjLGDV-like virus represent two members of a novel virus family, distantly related to unclassified Apis mellifera filamentous virus and Apis mellifera filamentous-like virus. These viruses have common genomic characteristics and key conserved genes with the viral members in the orderLefavirales, classNaldaviricetes. By mining public databases, CjLGDV-related endogenous viral elements (EVEs) were detected in the genome of multiple ant species, and phylogenetic analysis indicated a long-term coevolutionary relationship between the EVEs and its host. These findings expand the known lineage of nuclear arthropod large DNA viruses (NALDVs), broaden our understanding of their host range, and reveal a long and frequent interaction history between CjLGDV and its ant hosts.
Supramolecular assembly of collagen mimetic peptide D-periodic fibrils and nanoassemblies
Authors: Cole Carson C. , Kreutzberger Mark A. B. , Klein Kevin , Cahue Kiana , Pogostin Brett H. , Farsheed Adam C. , Swain Joseph W.R. , Bui Thi H. , Dey Arghadip , Makhoul Jonathan , Dubackic Marija , Pal Antara , Olsson Ulf , Šarić Anđela , Egelman Edward H. , Hartgerink Jeffrey D. 
Published: February 2025

AbstractThe collagen triple helix assembles hierarchically into bundled oligomers, solvated networks and fibers. Synthetic peptide assemblies, driven by supramolecular interactions, can form single triple helices through intrahelical amino acid pairs, but the principles guiding interhelical associations into higher-order structures remain unclear. Here, we incorporate cation-πand electrostatic charge pairs to probe interhelical interactions and elucidate the mechanisms driving triple helix assembly into fibrils, nanotubes, and nanosheets. Introducing cation-πpairs into a fibrillating collagen mimetic resulted in D-periodic fibrils with pH-sensitive gelation. Modifying the presentation of interhelical interactions also enabled the characterization of another D-periodic fibril resembling cartilage collagens, featuring inner and outer triple helix layers. Enhancing electrostatic charge pairs promoted antiparallel assembly, leading to the formation of nanotubes and nanosheets. The packing behavior of triple helices correlates with the interhelical interactions, where parallel associations favor fibril formation, and antiparallel interactions drive nanotube and nanosheet assembly.
Ecology and sexual conflict drive the macroevolutionary dynamics of female-limited colour polymorphisms
Authors: Willink Beatriz , Ho Tammy Ai Tian , Svensson Erik I 
Published: February 2025

AbstractSexual conflict over mating has been documented in many species, both in the field and in experimental studies. In pond damselflies (family Coenagrionidae), sexual conflict maintains heritable female colour polymorphisms, with one female morph typically being a male mimic. However, it is not known whether sexual conflict can also explain the evolutionary origin of female-limited colour morphs, and if so, what ecological factors play a role in this macroevolutionary transition, by modulating the strength of the conflict. Furthermore, the effects of sexual conflict on phylogenetic diversification remain controversial, in particular, whether sexual conflict elevates speciation rates, extinction rates, or both. Here, we use phylogenetic comparative methods to show that female colour polymorphisms are more likely to evolve when population densities at breeding sites are high, and that these demographic conditions are more common at high latitudes and in open landscapes. We show that female-limited polymorphisms typically evolve from sexually dimorphic ancestors through the addition of a male-like female morph, consistent with the hypothesis of selection for male mimicry. Female colour polymorphisms increase both speciation and extinction rates, leading to higher evolutionary turnover of polymorphic lineages. We conclude that female colour polymorphisms evolve in a predictable fashion, and are likely driven by ecological conditions that increase the rate of pre-mating interactions and thus the intensity of sexual conflict. The effects of female colour polymorphisms on extinction differ from previous intraspecific studies and indicate contrasting long-term effects of sexual conflict at micro- and macroevolutionary scales.
Creating a novel digital intervention to bridge the organizational and personal health literacy gap by teaching the way patients learn: a process and application study
Authors: Joachim-Célestin Maud , Matangi Nishita , Rivas Lizbeth , Thiruvengadam Nikhil R. , Montgomery Susanne B. 
Published: February 2025

AbstractLow literacy is on the rise in the USA and is one of the independent predictors of poor health outcomes. While much written health information is now adapted to lower reading levels, more needs to be done to address the gap between material content and target consumers’ comprehension ability which often is more complex than simple reading level adjustments. This paper describes the process of developing a culturally, context and literacy-aligned intervention that promotes and supports preventive lifestyle behaviors among low-income Latino women (Latinas).Focus group discussions and key-informant interviews were conducted to identify needs, barriers and beliefs of low-income Latinas regarding obesity, healthy eating and physical activity. A simple literacy-aligned, culturally-appropriate and socio-economically acceptable (LACASA) framework and intervention were then created through an academic-community partnership: medical professionals and students, community health workers and researchers.The curriculum – which included minimal and easy-to-read written material and power point presentations - was piloted and revised before being launched. The resulting lifestyle curriculum for high-risk low-income Latinas was well-received and was a good fit for the priority population.Creating a program using the LACASA approach requires an interdisciplinary team to invest time working with key members of the priority population and a commitment to adjusting materials to the group’s literacy level and its cultural and economic realities. Programs created to serve low-income individuals with limited literacy cannot rely on pre-created curricula. Instead, these must be re-evaluated and adjusted to address both content core principles and specific contexts of the priority population.
MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusionin vitro
Authors: Lair Benjamin , Cazorla Clément , Lobeto Alicia , Labour Axel , Laurens Claire , Rustan Arild C. , Weiss Pierre , Flores-Flores Remy , Moro Cedric 
Published: February 2025

AbstractBackgroundThe myogenic fusion index (FI) is commonly used in skeletal muscle cell culture to assess the ability of myoblasts to form myotubes, as the ratio of myoblast nuclei fused with myotubes over the total number of myoblasts. The manual quantification of the FI from 2D microscopy images is tedious and biased, thus several automated methods have been developed. However, they still face challenges such as efficient nucleus segmentation and classification of fused and isolated myoblast nuclei. Here, we developed a novel workflow entirely based on AI for fully automated and unbiased quantification of the FI.ResultsUsing current methods, we show that myoblast nuclei located above or below myotubes can significantly corrupt accurate FI computation. To circumvent this issue, we developed MyoFuse which enables an accurate and high-throughput segmentation and classification of myonuclei. It comprises a nuclei segmentation step using Cellpose, followed by a classification network trained with Svetlana. MyoFuse demonstrated strong accuracy when tested against manual annotation in mouse C2C12 and human primary myotubes. The trained classifier is able to differentiate myotube nuclei from myoblast nuclei based on myotube cytoplasm staining only. Experimental comparisons also highlighted that the previously developed methods lead to a significant overestimation of the FI.ConclusionIn summary, we underscore the lack of accuracy of traditional methods for automated FI quantification. MyoFuse enables a direct and accurate segmentation of nuclei even in nuclei clusters frequently observed in myotubes. This workflow thus offers a new and more reliable method to evaluate the FI. It also limits the selection bias by processing large images.
Improved torque feedforward compensation method considering position tracking error compensation
Authors: Chen Lin , Ling Shan , Chen Tao , Cai Yukang , Pan Haihong 
Published: February 2025

Purpose
This paper aims to investigate the suppression of end-point vibrations in industrial robot systems that exhibit joint flexibility and are subject to external disturbances.

Design/methodology/approach
The real-time position tracking error is effectively decomposed by using feedforward control based on a dynamic model. Various proportional-derivative controllers and adapted versions are used to compute real-time compensation torque for different position tracking errors. This approach aims to simultaneously achieve rapid response and stability in the control system, resulting in reduced end vibration in the industrial robot.

Findings
Experiments were conducted in torque compensation on a 6R industrial robot platform. Compared to the dynamic model calculate torque feedforward compensation method, the maximum reduction of the root mean square of the position error of each joint reached 77% and the minimum reduction was 36.2%. This enhancement improves the trajectory tracking accuracy and effectively suppresses the end-effector vibration.

Originality/value
An improved torque feedforward compensation method is proposed and verified. According to the experimental results, the method can effectively suppress vibration and further improve the trajectory tracking accuracy.
Determinants of Muslim investors in investing through green sukuk retail: an extended pro-environmental planned behavior approach
Authors: Timur Yan Putra , Ridlwan Ahmad Ajib , Rahim Syazwani Abd , Fikriyah Khusnul , Susilowati Fitriah Dwi , Canggih Clarashinta , Nurafini Fira , Badrul Munir Maryam Bte 
Published: February 2025

Purpose
This study aims to determine the factors that influence investors’ behavioral intentions in investing in green retail sukuk through the constructs offered by the extended pro-environmental planned behavior (PEPB) theory and adding several other constructs such as perceived benefit (PB), perceived risk (PR) and religious value (RV).

Design/methodology/approach
Non-probability sampling was used to collect data from 460 Muslims living on Java who had invested in green sukuk retail and had a basic understanding of it as an alternative Islamic investment instrument. PLS-SEM was used to test the data with SmartPLS 3.0.

Findings
Perceived authority support (PAS) and perceived environmental concern (PEC) positively and significantly affect attitude (AT), subjective norm (SN) and perceived behavioral control (PBC). This study also shows that SN, PBC, PB, PR and RV boost INT significantly. AT has a positive but insignificant effect.

Research limitations/implications
This study has limitations from the demographic aspect of respondents who only accommodate respondents who are Muslim and live in Java Island.

Practical implications
This research suggests ways to socialize green sukuk investment to the public as potential investors by describing environmental benefits and how retail green sukuk can benefit investors and the environment. Competent parties who understand Islamic finance, and muamalah contracts can socialize beginner voters who do not understand the risks and rewards of green sukuk investments.

Social implications
This research suggests ways to socialize green sukuk investment to the public as potential investors by describing environmental benefits and how retail green sukuk can benefit investors and the environment.

Originality/value
This study introduces environmental-based constructs PAS and PEC, which are infrequently used in research models that measure the intention to invest in green investment instruments like green sukuk. Additional constructions like PB, PR and RV enhance research results.