bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiac Structure and Function of Elite Australian Jockeys Compared to the General Population: An Observational Cross-Sectional Study
Authors: Farley Angela , Bennett Hunter , Eston Roger , Perry Rebecca 
Published: November 2024

Abstract
Background
Research highlights the intense physiological demands of thoroughbred racing on jockeys, with elevated heart rates and substantial oxygen uptake, confirming the rigorous physical nature of the sport, however, the cardiovascular changes resulting from the physical demands of thoroughbred racing remain unexplored in Australian jockeys. Therefore, the objective of this study was to compare measures of cardiac structure and function of professional Australian jockeys to that of the general population and to determine if there are differences in heart structure and function detected using echocardiography.

Methods
Forty-six jockeys and thirty-three participants from the general population underwent two-dimensional echocardiography, which included all standard views and measurements. Each measurement was compared between groups using a Mann-Whitney U test.

Results
Groups were matched for age (jockeys (35 ± 12 years) and controls (36 ± 13 years)). Jockeys were shorter (1.64 ± 0.07 m vs. 1.75 ± 0.09 m, p < 0.001), lighter (56.5 ± 6.0 kg vs. 74.2 ± 12.9 kg, p < 0.001) and had a lower body surface area (BSA) (1.55 ± 0.17 m2 vs.1.9 ± 0.2 m2, p < 0.001). Jockeys had a larger absolute left ventricular (LV) end diastolic volume than the control group (120 ± 18.2 ml vs. 109.3 ± 29.0 ml, p = 0.05) which had a larger variation when indexed for BSA (78.0 ± 12.2 ml/m2 vs. 57.5 ± 13.3 ml/m2, p < 0.001). Jockeys demonstrated a higher LV mass index (79.4 ± 18.1 g/m2 vs. 64.2 ± 15.4 g/m2, p < 0.001). Left atrial volume index was larger in jockeys (33.4 ± 6.5 mL/m2 vs. 26.3 ± 7.0 mL/m2, p < 0.001). There were no differences in global longitudinal strain (GLS) for either group overall (-19.3 ± 3.0% vs. -19.8 ± 1.6%, p = 0.52), but 17% of the jockey group demonstrated an abnormal GLS.

Conclusions
Jockeys have adaptations to their cardiac structure and function compared to the general population. Differences could be attributed to chronic physiological demands of racing and should be considered in future research involving jockeys.
Towards Achilles Tendon Injury Prevention in Athletes with Structural MRI Biomarkers: A Machine Learning Approach
Authors: Kapinski Norbert , Jaskulski Karol , Witkowska Justyna , Kozlowski Adam , Adamczyk Pawel , Wysoczanski Bartosz , Zdrodowska Agnieszka , Niemaszyk Adam , Ciszkowska-Lyson Beata , Starczewski Michal 
Published: November 2024

Abstract
Background
Recent advancements in artificial intelligence have proven their effectiveness in orthopaedic settings, especially in tasks like medical image analysis. This study compares human musculoskeletal radiologists to artificial intelligence in a novel, detailed, short, and cost-effective examination of Achilles tendon magnetic resonance images to uncover potential disparities in their reasoning approaches. Aiming to identify relationships between the structured assessment of the Achilles tendon and its function that could support injury prevention. We examined 72 athletes to investigate the link between Achilles tendon structure, as visualised in magnetic resonance images using a precise T2*-weighted gradient echo sequence with very short echo times, and its functional attributes. The acquired data were analysed using advanced artificial intelligence techniques and reviewed by radiologists. Additionally, we conducted statistical assessments to explore relationships with functional studies in four meaningful groups: dynamic strength, range of motion, muscle torque and stabilography.

Results
The results show notable linear or non-linear relationships between functional indicators and structural alterations (maximal obtained Spearman correlation coefficients ranged from 0.3 to 0.36 for radiological assessment and from 0.33 to 0.49 for artificial intelligence assessment, while maximal normalised mutual information ranged from 0.52 to 0.57 for radiological assessment and from 0.42 to 0.6 for artificial intelligence assessment). Moreover, when artificial intelligence-based magnetic resonance assessment was utilised as an input, the associations consistently proved more robust, or the count of significant relationships surpassed that derived from radiological assessment. Ultimately, utilising only structural parameters as inputs enabled us to explain up to 59% of the variance within specific functional groups.

Conclusions
This analysis revealed that structural parameters influence four key functional aspects related to the Achilles tendon. Furthermore, we found that relying solely on subjective radiologist opinions limited our ability to reason effectively, in contrast to the structured artificial intelligence assessment.

Study Design
Cross-sectional studies.
Deciphering the dynamics and trophic mode distribution of the leaf spot-associated fungal community of eggplant (Solanum melongena L.)
Authors: Kaniyassery Arya , Sathish Sudhanva Bhimanakatte , Thorat Sachin Ashok , Murali Thokur Sreepathy , Rao Mattu Radhakrishna , Muthusamy Annamalai 
Published: November 2024

AbstractThe invasion of phytopathogens impacts the composition and associations of the internal microbial inhabitants. Leaf spot is one of the most devastating diseases in eggplant var. Mattu Gulla which is unique in terms of geographic indication (GI) status. Leaf spot samples (asymptomatic and symptomatic) were collected to characterize the fungal community associated with them using culture-based and next-generation ITS rRNA-based metabarcoding approaches. Both methods showed that Ascomycota and Basidiomycota were the predominant phyla in both groups. In the asymptomatic group, Didymosphaeriaceae, Pleosporaceae, Trichomeriaceae, and Capnodiaceae were the most differentially abundant families. In contrast, Phaeosphaeriaceae, Pleosporaceae, Didymellaceae, Rhynchogastremataceae, and Bulleribasidiaceae were the most differentially abundant families in the symptomatic group. At the genus level, Cladosporium was the most differentially abundant genus in the asymptomatic group. In the symptomatic group Alternaria, Remotididymella, Vishniacozyma, Bulleribasidium, Occultifur, Epicoccum, and Loratospora were the abundant genera. The pathotroph-saprotrophic mode was the most common mode identified in both groups, with an increased abundance in the symptomatic group. Seven fungal families and two genera were identified as common according to the culture-based method and NGS analysis based on ITS rRNA metabarcoding. Our study indicated that the composition of the core microbial community varies with plant health status, and a combination of culturable and next-generation ITS rRNA-based metabarcoding approaches could be a reliable option for obtaining a detailed understanding of plant-associated fungal communities.
Collagen triple helix repeat-containing 1 protein: an emerging biomarker and its influence on the clinical and sonographic disease severity in Egyptian medicated female rheumatoid arthritis patients
Authors: Essam Shaden , Mohasseb Diaa Fahmy , Elsawy Noha A. , Saad Neveen Lewis Mikhael , Abdel-Fattah Yousra Hisham 
Published: November 2024

Abstract
Background
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease of synovial joints, with a multifactorial etiology. Collagen triple helix repeat-containing 1 protein (CTHRC1) is a biomarker produced by fibroblast-like synoviocytes, which was shown to be highly expressed in RA patients. The study aimed to measure serum CTHRC1 level in female RA patients currently on medical treatment and its influence on the clinical and sonographic severity of the disease.

Results
The patients’ mean age was 43.39 ± 8.55 years and median RA disease duration of 5.5 (0.33–20) years. RA patients showed significantly higher serum CTHRC1 level [89.71 ng/ml (53.95–353.45)] in comparison to controls [87.38 ng/ml (44.47–110.3)] (U = 430, P = 0.014). Furthermore, higher serum CTHRC1 levels were recorded in seropositive versus seronegative patients (U = 76, P = 0.022) and in RA patients with severe disease activity compared to those with lower disease activity (H = 9.79, P = 0.007). Furthermore, serum CTHRC1 levels were lower in RA patients receiving biological therapy compared to those receiving conventional therapy; however, this difference did not reach statistical significance.
Significant positive correlations were found between CTHRC1 and disease activity, acute-phase reactants, serological markers, functional assessment, fatigue, and erosions detected by ultrasound, while a significant negative correlation was recorded between CTHRC1 and duration of biologic intake (rs =  − 0.45, P = 0.036). Furthermore, on multivariate linear regression analysis, serum CTHRC1 was the only significant predictor for higher disease activity (P = 0.028, B = 0.009, 95% CI 0.001 to 0.017).

Conclusion
RA patients showed higher CTHRC1 serum levels compared to healthy controls, especially those with seropositivity and highly active disease. Furthermore, it was positively associated with poor patient functional outcome, fatigability, and erosive findings by ultrasound, thus suggesting that serum CTHRC1 can be a good predictor for high RA disease activity and possibly severity. Moreover, biological therapy could influence serum CTHRC1 levels in these patients.
Anisotropic induced polarization modeling with neural networks and effective medium theory
Authors: Bérubé Charles L. , Gagnon Jean-Luc 
Published: November 2024

Interpreting 3D induced polarization (IP) data requires rock-physics models that reflect the omnipresent anisotropy of the earth’s crust. The generalized effective medium theory of induced polarization (GEMTIP) can model the IP signatures of rocks with polarizable mineral inclusions. However, it is computationally demanding because it requires numerically solving the depolarization tensors of each inclusion. We aim to streamline GEMTIP simulations by (1) integrating the anisotropic background conductivity and triaxial ellipsoidal inclusions in the model and (2) estimating the depolarization tensors with a neural network. We validate the neural network predictions against the known solutions for spherical and spheroidal inclusions, and we test our method using data from an actual rock sample. The neural network indicates a relative sensitivity of 56% to the inclusion shape and 44% to the host rock anisotropy and is up to 100,000 times faster than numerical integration. We release the pretrained neural network implementation as an open-source Python package, thereby providing a new method to interpret the IP signatures of anisotropic rocks.
Detection of suicidality from medical text using privacy-preserving large language models
Authors: Wiest Isabella Catharina , Verhees Falk Gerrik , Ferber Dyke , Zhu Jiefu , Bauer Michael , Lewitzka Ute , Pfennig Andrea , Mikolas Pavol , Kather Jakob Nikolas 
Published: November 2024

BackgroundAttempts to use artificial intelligence (AI) in psychiatric disorders show moderate success, highlighting the potential of incorporating information from clinical assessments to improve the models. This study focuses on using large language models (LLMs) to detect suicide risk from medical text in psychiatric care.AimsTo extract information about suicidality status from the admission notes in electronic health records (EHRs) using privacy-sensitive, locally hosted LLMs, specifically evaluating the efficacy of Llama-2 models.MethodWe compared the performance of several variants of the open source LLM Llama-2 in extracting suicidality status from 100 psychiatric reports against a ground truth defined by human experts, assessing accuracy, sensitivity, specificity and F1 score across different prompting strategies.ResultsA German fine-tuned Llama-2 model showed the highest accuracy (87.5%), sensitivity (83.0%) and specificity (91.8%) in identifying suicidality, with significant improvements in sensitivity and specificity across various prompt designs.ConclusionsThe study demonstrates the capability of LLMs, particularly Llama-2, in accurately extracting information on suicidality from psychiatric records while preserving data privacy. This suggests their application in surveillance systems for psychiatric emergencies and improving the clinical management of suicidality by improving systematic quality control and research.
Vesicular Carriers for Improved Oral Anticoagulation Competence of Rivaroxaban: In Vitro and In Vivo Investigation
Authors: Faheim Samar H. , Maghraby Gamal M. El , Sultan Amal A. 
Published: November 2024

AbstractRivaroxaban is an anticoagulant for avoidance and therapy of thromboembolic disorders. Unfortunately, oral bioavailability of rivaroxaban is compromised with dose increments. Accordingly, the aim was to test nano-vesicular lipid systems for improved oral anticoagulation activity of rivaroxaban. Rivaroxaban loaded niosomes, bilosomes and spanlastic formulations were prepared. The prepared systems were assessed in terms of particle size, zeta potential, transition electron microscopic features (TEM), entrapment efficiency, in-vitro drug release, and in-vivo anticoagulation performance in rats. The prepared vesicular systems exposed spherical negatively charged vesicles with mean particle size values between 136.6 nm to 387.9 nm depending on the composition. Rivaroxaban was efficiently entrapped in the vesicular systems with entrapment efficiency values ranging from 92.4% to 94.0%. Rivaroxaban underwent sustained release from the fabricated vesicular systems. The in vivo performance of the tested preparation revealed significant enhancement of the anticoagulation parameters. This was manifested from the prolonged clotting time, and prothrombin time. Moreover, the cut tails of the examined rats receiving the formulated nano-systems exposed a lengthy tail bleeding time compared to those receiving the un-processed rivaroxaban aqueous dispersion. In Conclusion, niosomes, bilosomes and spanlastic nano-dispersions have a potential to overwhelm the oral anticoagulation efficiency of rivaroxaban with spanlastic ranked as best.
Graphical Abstract
Magnesium Stearate Fatty Acid Composition, Lubrication Performance and Tablet Properties
Authors: Veronica Natalia , Heng Paul Wan Sia , Liew Celine Valeria 
Published: November 2024

AbstractMagnesium stearate (MgSt) is a common tablet lubricant. As variations in MgSt properties are known to influence tablet attributes, the impact of MgSt fatty acid composition, particularly the significance of the stearate and palmitate contents, and its effects on tablet properties warrant further investigation. This study investigated the effect of MgSt with different stearate and palmitate contents but comparable physical properties (e.g. particle size, crystallinity, specific surface area and morphology) on lubrication performance and resulting tablet quality attributes, including mechanical strength, disintegratability and drug release. The influence of MgSt concentration and blending duration on the resulting tablet properties was also examined. Tablets produced using the lower stearate content MgSt had slightly higher tensile strength. The effect of MgSt stearate content was more apparent in the disintegration time and drug release, whereby MgSt of lower stearate content resulted in tablets with longer disintegration time and slower drug release. The lower stearate content also resulted in a lower lubrication performance, leading to a lesser reduction in tablet ejection force. As expected, a longer blending time of the tablet formulation blend with MgSt yielded tablets with reduced tensile strength, shorter disintegration time and slower drug release. Tablets with higher MgSt concentration showed a greater reduction in tensile strength, longer disintegration time and faster drug release. The study findings reinforced observations by other researchers and provided a better understanding of the fatty acid composition effects of MgSt on lubrication performance and the resulting tablet properties.
Graphical Abstract
Prenatal Maternal Stress Suppresses Embryonic Neurogenesis via Elevated Glucocorticoid Levels
Authors: Xu Shujie , Shi Junzhu , Shen Yao , Chen Xianlong , Pourbozorg Ghazal , Wang Guang , Yang Xuesong , Cheng Xin 
Published: November 2024

Abstract
Although it is known that prenatal maternal stress (PNMS) has a negative influence on nervous system development in offspring, there is no conclusive evidence clarifying its impact on early neurogenesis during development. In this study, we established a chick embryo model to investigate how PNMS affects early neurogenesis by mimicking an intrauterine environment with elevated dexamethasone levels. The results showed that dexamethasone-mimicked PNMS significantly suppressed the development of gastrula embryos and increased the risks of neural tube defects and cranial deformity. Using immunofluorescence staining and Western blots to evaluate the expression levels of pHIS3 and PCNA/Sox2, we found that PNMS significantly inhibited the proliferation of neural progenitor cells and that the downregulation of TGF-β signaling pathway might be responsible for the inhibition. Furthermore, immunofluorescence staining and Western blots manifested that PNMS could suppress the differentiation of neural progenitor cells to neuronal lineages, but promote them to transform into neuroglial cells, which might be due to the restriction of expressions of key genes (BMP4, SHH, Wnt3a, Slug, and Msx1) related to neural differentiation. In summary, our data reveal that PNMS dramatically impacts the earliest stages of neural development, thereby greatly increasing the risk of physical and mental health problems in childhood or adulthood.
GnRH—Gonadotropes Interactions Revealed by Pituitary Single-cell Transcriptomics in Zebrafish
Authors: Tanaka Sakura , Yu Yang , Levavi-Sivan Berta , Zmora Nilli , Zohar Yonathan 
Published: November 2024

Abstract
GnRH governs reproduction by regulating pituitary gonadotropins. Unlike most vertebrates, gnrh−/− zebrafish are fertile. To elucidate the role of the hypophysiotropic-Gnrh3 and other mechanisms regulating pituitary gonadotropes, we profiled the gene expression of all individual pituitary cells of wild-type and gnrh3−/− adult female zebrafish. The single-cell RNA sequencing showed that LH and FSH gonadotropes express the 2 gonadotropin beta subunits with a ratio of 140:1 (lhb:fshb) and 4:1 (fshb:lhb), respectively. Lh gonadotropes predominantly express genes encoding receptors for GnRH (gnrhr2), thyroid hormone, estrogen, and steroidogenic factor 1. No GnRH receptor transcript was enriched in FSH gonadotropes. Instead, cholecystokinin receptor-b and galanin receptor-1b transcripts were enriched in these cells. The loss of the Gnrh3 gene in gnrh3−/− zebrafish resulted in downregulation of fshb in LH gonadotropes and upregulation of pituitary hormones like TSH, GH, prolactin, and proopiomelanocortin-a. Likewise, targeted chemogenetic ablation of Gnrh3 neurons led to a decrease in the number of fshb+, lhb + and fshb+/lhb + cells. Our studies suggest that Gnrh3 directly acts on LH gonadotropes through Gnrhr2, but the outcome of this interaction is still unknown. Gnrh3 also regulates fshb expression in both gonadotropes, most likely via a non-GnRH receptor route. Altogether, while LH secretion and synthesis are likely regulated in a GnRH-independent manner, Gnrh3 seems to play a role in the cellular organization of the pituitary. Moreover, the coexpression of lhb and fshb in both gonadotropes provides a possible explanation as to why gnrh3−/− zebrafish are fertile.
Hormonal Actions in the Medial Preoptic Area Governing Parental Behavior: Novel Insights From New Tools
Authors: Pal Tapasya , McQuillan Henry J , Wragg Logan , Brown Rosemary S E 
Published: November 2024

Abstract
The importance of hormones in mediating a behavioral transition in mammals from a virgin or nonparenting state to parental state was established around 50 years ago. Extensive research has since revealed a highly conserved neural circuit that underlies parental behavior both between sexes and between mammalian species. Within this circuit, hormonal action in the medial preoptic area of the hypothalamus (MPOA) has been shown to be key in timing the onset of parental behavior with the birth of offspring. However, the mechanism underlying how hormones act in the MPOA to facilitate this change in behavior has been unclear. Technical advances in neuroscience, including single cell sequencing, novel transgenic approaches, calcium imaging, and optogenetics, have recently been harnessed to reveal new insights into maternal behavior. This review aims to highlight how the use of these tools has shaped our understanding about which aspects of maternal behavior are regulated by specific hormone activity within the MPOA, how hormone-sensitive MPOA neurons integrate within the wider neural circuit that governs maternal behavior, and how maternal hormones drive changes in MPOA neuronal function during different reproductive states. Finally, we review our current understanding of hormonal modulation of MPOA-mediated paternal behavior in males.
Intracellular dynamics of ubiquitin-like 3 visualized using an inducible fluorescent timer expression system
Authors: Terada Yuka , Obara Kumi , Yoshioka Yusuke , Ochiya Takahiro , Bito Haruhiko , Tsuchida Kunihiro , Ageta Hiroshi , Ageta-Ishihara Natsumi 
Published: November 2024

ABSTRACT
Exosomes are small extracellular vesicles (sEVs) secreted via multivesicular bodies (MVBs)/late endosomes and mediators of cell-cell communication. We previously reported a novel post-translational modification by ubiquitin-like 3 (UBL3). UBL3 is localized in MVBs and the plasma membrane and released outside as sEVs, including exosomes. Approximately 60% of proteins sorted in sEVs are affected by UBL3 and localized in various organelles, the plasma membrane, and the cytosol, suggesting that its dynamic movement in the cell before entering the MVBs. To examine the intracellular dynamics of UBL3, we constructed a sophisticated visualization system via fusing fluorescent timers that changed from blue to red form over time with UBL3 and by its expression under Tet-on regulation. Intriguingly, we found that after synthesis, UBL3 was initially distributed within the cytosol. Subsequently, UBL3 was localized to MVBs and the plasma membrane and finally showed predominant accumulation in MVBs. Furthermore, by super-resolution microscopy analysis, UBL3 was found to be associated with one of its substrates, α-tubulin, in the cytosol, and the complex was subsequently transported to MVBs. This spatiotemporal visualization system for UBL3 will form a basis for further studies to elucidate when and where UBL3 associates with its substrates/binding proteins before localization in MVBs.