bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mental health and help-seeking behaviors among Mozambican youth: insights from a post-pandemic National Survey Amidst Internal Conflict
Authors: Dadras Omid 
Published: January 2025

Abstract

Purpose
This study aimed to investigate the prevalence and sociodemographic determinants of major depressive disorder (MDD) and generalized anxiety disorder (GAD) among Mozambican youth aged 15–24 years, as well as their help-seeking behaviors.

Methods
Data from 8,154 youth participants in the 2022–23 Mozambique Demographic Health Survey were analyzed. MDD and GAD were assessed using the PHQ-9 and GAD-7 scales, respectively. Univariate and multivariate logistic regression analyses were conducted to examine associations between sociodemographic factors and mental health outcomes and health-seeking behaviors.

Results
The prevalence of MDD and GAD among Mozambican youth was 7.5% for each condition. However, only 9.3% of those with either MDD or GAD sought help for their symptoms, primarily from family and friends. Females had significantly higher odds of experiencing both MDD and GAD but lower help-seeking behavior as compared to males. Unemployment, lower household wealth, and being single were associated with higher odds of both disorders and lower odds of help-seeking behaviors. Higher education increased the odds of GAD and help-seeking behaviors. Significant regional variations were observed, with conflict-affected regions including Cabo Delgado, Nampula, and Zambezia showing the highest prevalence of MDD and GAD.

Conclusion
This study reveals substantial mental health challenges among Mozambican youth, with notable disparities across sociodemographic groups and regions. The low rates of help-seeking behavior underscore the need for targeted interventions to improve mental health awareness and access to services for socio-demographically vulnerable youth.
Comprehensive quantification of C4 to C26 free fatty acids using a supercritical fluid chromatography-mass spectrometry method in pharmaceutical-grade egg yolk powders intended for total parenteral nutrition use
Authors: Retrato Mark Dennis Chico , Nguyen Anh Vu , Ubhayasekera S. J. Kumari A. , Bergquist Jonas 
Published: January 2025

Abstract
Free fatty acids (FFAs) are important energy sources and significant for energy transport in the body. They also play a crucial role in cellular oxidative stress responses, following cell membrane depolarization, making accurate quantification of FFAs essential. This study presents a novel supercritical fluid chromatography-mass spectrometry (SFC-MS) method using selected ion recording in negative electrospray ionization mode, enabling rapid quantification of 31 FFAs within 6 min without derivatization. FFAs are identified and quantified using an HSS C18 SB column and a secondary mobile phase consisting of methanol with formic acid by detecting their [M − H]− ions. Calibration curves showed strong linearity (R
2 ≥ 0.9910), spanning 1000–12,000 ng/mL for short-chain FFAs and 50–1200 ng/mL for medium- and long-chain FFAs. The method achieves detection limits as low as 1 ng/µL for short-chain FFAs and 0.05 pg/µL for other FFAs per on-column injection. The method demonstrated high accuracy and precision, with bias and coefficients of variation maintained below 15% across five quality control levels. Freeze–thaw and autosampler stability studies confirmed the behavior of matrix-matched standards under optimal storage conditions. The validated method was applied to the analysis of pharmaceutical-grade egg yolk powders, using 13 deuterated FFAs as internal standards (IS) in comparison with heptadecanoic acid (C17:0). Significant variations in FFA quantification using two different IS approaches underscore the importance of selecting an appropriate IS. In summary, this study introduces a reliable and validated SFC-MS method for analyzing FFAs ranging from C4 to C26, requiring minimal sample preparation.

Graphical Abstract
The Multifactorial Relationship Between Bone Tissue Water and Stiffness at the Proximal Femur
Authors: Querido William , Shanas No’ad , Radway Adaeze P. , Jones Brandon C. , Ispiryan Mikayel , Zhao Huaqing , Hast Michael W. , Rajapakse Chamith S. , Pleshko Nancy 
Published: January 2025

Abstract
Bone mechanical function is determined by multiple factors, some of which are still being elucidated. Here, we present a multivariate analysis of the role of bone tissue composition in the proximal femur stiffness of cadaver bones (n = 12, age 44–93). Stiffness was assessed by testing under loading conditions simulating a sideways fall onto the hip. Compositional properties of cortical and trabecular tissues were quantified in femoral neck cross sections by Fourier transform infrared (FTIR) spectroscopy and near infrared (NIR) spectroscopy. In addition, cross-sectional areas and cortical thickness and tissue mineral density (TMD) were measured at the femoral neck. Pearson correlation analysis showed a significant (p < 0.05) negative relationship between bone stiffness and cortical and trabecular water content, both total (r = -0.63) and tightly bound to matrix and mineral (r = -55). Additionally, significant (p < 0.05) positive correlations were found between stiffness and bone area, both total (r = 0.67) and trabecular (r = 0.58). However, linear regression using each of these properties to predict bone stiffness resulted in weak models (R2 = 0.36–0.48). Interestingly, we found markedly stronger models (cross-validated R2 = 0.80–0.92) by using partial least squares (PLS) regression to predict stiffness based on combinations of bone properties. The models with highest R2 values were found when including bone water parameters as explanatory variables, both total and tightly bound, in cortical and trabecular. This study provides new insights by revealing a multifactorial relationship in which higher bone water content across different tissue compartments contributes to lower bone stiffness, highlighting bone water as a potential biomarker of bone quality and proximal femur mechanical function.
Intra-guild competition and ecosystem services of mammal scavengers in a new colonized wolf landscape
Authors: Brogi Rudy , Bongi Paolo , Del Frate Marco , Sieni Sara , Cavallera Anna , Apollonio Marco 
Published: January 2025

Abstract
Carcass utilization by scavengers is crucial for ecosystem dynamics, influencing energy transfer and nutrient cycling. Through the provision of unconsumed carcasses, the return of wolves (Canis lupus) to European ecosystems can trigger complex cascading effects on scavenger communities. Here, we investigate the scavenging dynamics of mammalian species in a prey-rich Mediterranean coastal area close to a large city where wolves have recently returned. Using camera traps, we monitored the scavenging activity on fallow deer (Dama dama) carcasses preyed upon by wolves over a five-year period following the predator’s return. We developed models to assess how competition between red foxes (Vulpes vulpes), wild boars (Sus scrofa), and wolves evolved over time, focusing on their carcass use, direct interactions, and spatiotemporal associations. Wolves exhibited consumption of only minor portions of prey and a negligible reuse of carcasses, while foxes and wild boars engaged in indirect competition for access to this emerging trophic niche. We found a notable temporal change in scavenging activity over the monitoring period, with wild boars progressively emerging as the primary scavenger and providing a substantial removal of carcass biomass. Our findings suggest that wild boars can assume a prominent scavenging role in environments where carcass availability is both abundant and predictable. This study underscores the importance of understanding scavenger temporal dynamics in the context of apex predator recolonization and highlights the need for further research to explore the long-term impacts of these interactions on community structure and ecosystem services as wolf populations continue to expand across Europe.
Persistent prey species in the Lotka–Volterra apparent competition system with a single shared predator
Authors: Seno Hiromi 
Published: January 2025

Abstract
We analyze the Lotka–Volterra n prey-1 predator system with no direct interspecific interaction between prey species, in which every prey species undergoes the effect of apparent competition via a single shared predator with all other prey species. We prove that the considered system necessarily has a globally asymptotically stable equilibrium, and we find the necessary and sufficient condition to determine which of feasible equilibria becomes asymptotically stable. Such an asymptotically stable equilibrium shows which prey species goes extinct or persists, and we investigate the composition of persistent prey species at the equilibrium apparent competition system. Making use of the results, we discuss the transition of apparent competition system with a persistent single shared predator through the extermination and invasion of prey species. Our results imply that the long-lasting apparent competition system with a persistent single shared predator would tend toward an implicit functional homogenization in coexisting prey species, or would transfer to a 1 prey-1 predator system in which the predator must be observed as a specialist (monophagy).
Comparisons of neurodegenerative disease biomarkers across different biological fluids from patients with Huntington’s disease
Authors: Bamford Alison R. , Parkin Georgia M. , Corey-Bloom Jody , Thomas Elizabeth A. 
Published: January 2025

Abstract
Fluid biomarkers play important roles in many aspects of neurodegenerative diseases, such as Huntington’s disease (HD). However, a main question relates to how well levels of biomarkers measured in CSF are correlated with those measured in peripheral fluids, such as blood or saliva. In this study, we quantified levels of four neurodegenerative disease-related proteins, neurofilament light (NfL), total tau (t-tau), glial fibrillary acidic protein (GFAP) and YKL-40 in matched CSF, plasma and saliva samples from Huntingtin (HTT) gene-positive individuals (n = 21) using electrochemiluminescence assays. In addition, salivary levels of NfL, t-tau, and GFAP were quantified from a larger cohort (n = 95). We found both positive and negative correlations in the levels of these biomarkers among different biofluids. Most notably, in contrast to the significant positive correlations observed between CSF and plasma levels for NfL and GFAP, we detected significant negative correlations between the CSF and saliva levels of NfL and GFAP. With regard to clinical measures, both plasma and CSF levels of NfL were significantly positively correlated with Total Motor Score and chorea, whereas saliva levels of NfL showed significant correlations in the opposite direction. Additional correlations between salivary biomarkers with clinical data, adjusting for age, sex and CAG repeat length, confirmed that salivary NfL was significantly negatively associated with chorea scores in manifest HD, but not premanifest (PM), individuals. In contrast, salivary t-tau was positively associated with measures of cognition in PM participants. These findings suggest that salivary levels of NfL and t-tau proteins may exemplify non-invasive biomarkers for disease symptoms at different stages of illness. Further, these findings highlight the notion that different forms of disease proteins exist in different biological fluids.
Correlation between p53 immunoexpression and TP53 mutation status in extrapulmonary small cell neuroendocrine carcinomas and its association with patient survival
Authors: Pavlíčková Klára , Hojný Jan , Waldauf Petr , Dundr Pavel , Hájková Nikola , Švajdler Marián , Fabian Pavel , Zambo Iva Staniczková , Flídrová Miroslava , Laco Jan , Hornychová Helena , Delongová Patricie , Škarda Jozef , Hrudka Jan , Matěj Radoslav 
Published: January 2025

Abstract
Extrapulmonary small cell neuroendocrine carcinoma (EP-SCNC) is a rare malignancy with a poor prognosis. Despite its morphological similarity to lung small cell carcinomas, its oncogenesis remains uncertain. One hundred and seventy-one EP-SCNC were enrolled in a multicenter study, and all tissue samples underwent an immunohistochemical p53 analysis. One hundred twenty-five samples were molecularly analyzed using next-generation sequencing (NGS), comprising DNA and RNA analysis. p53 normal/wild type expression was detected in 68 cases (39.8%), whereas aberrant expression was detected in 103 cases (60.2%). Molecular TP53 alteration was detected in 92 out of 125 tumors (73.6%). The TP53 mutation was shown to be prognostic and associated with shorter overall survival (p = 0.041). The multivariate analysis of p53 and TP53 mutational status found that it impacted overall survival relative to distinct sites of tumor locations (p = 0.004 and p = 0.001, respectively). Age did not influenced survival in the multivariate analysis of p53 and TP53 (p = 0.002; p < 0.001 resp.). Among tumors with paired immunohistochemical and molecular results, 108 exhibited concordance between the immunohistochemical and molecular analysis, whereas 17 were discordant. Accordingly, p53 aberrant expression was tightly associated with a TP53 mutation (p < 0.001). In discordant cases, molecular analysis revealed no alteration in three tumors with p53 overexpression. In contrast, in 14 tumors with wild-type p53 expression, TP53 genetic alteration was detected. Possible causes of discordance are discussed in this manuscript. Furthermore, the incidence of aberrant p53 expression / TP53 molecular alteration was noticeably lower in EP-SCNC than in small-cell lung carcinomas. Therefore, in EP-SCNC, other driver mutations should be sought since personalized therapy can improve patient prognosis.
Probing the properties of PTEN specific botulinum toxin type E mutants
Authors: Schiavone Giorgia , Richter Sandy , Henke Tina , Koch Ineke , Thies Linda , Klöpper Fiete , Megighian Aram , Pirazzini Marco , Binz Thomas 
Published: January 2025

Abstract
Botulinum neurotoxins (BoNT) are established biopharmaceuticals for neuromuscular and secretory conditions based on their ability to block neurotransmitter release from neurons by proteolyzing specific soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) proteins. Recently, a mutant catalytic domain of serotype E (LC/E) exhibiting 16 mutations was reported to cleave the phosphatase and tensin homolog (PTEN). This molecule represents an attractive new target in neurons as several reports support PTEN knockdown as a strategy to stimulate axonal regeneration after injury. Though this LC/E mutant was shown to cleave PTEN in primary neurons through lentivirus-based expression, its expression and functionality as mutated full-length BoNT/E have not been studied. Hence, we assembled the 16 mutations stepwise in a bacterial expression plasmid for LC/E and purified several multiple mutants of LC/E. Biochemical characterization showed that the 16-fold mutant did not exhibit a detectable activity toward SNAP-25 up to 10 µM final concentration while it displayed an EC50 of approximately 200 nM for PTEN, exceeding 1000-fold that for LC/E-wt on the native substrate SNAP-25. Unexpectedly, expression of the full length 16-fold mutated BoNT/E did not provide soluble protein, possibly due to an interference of the interaction between LC and the translocation domain. Reversion of individual mutations revealed the E159L and S162Q substitutions, critical for redirecting LC/E activity toward PTEN, as main culprits for the solubility issue. To overcome this problem, we applied a methodology proved successful years ago, harnessing a proteolytically inactive variant of BoNT type D (BoNT/Di) as neurospecific delivery system for cargo proteins. The fusion protein LCE-16x-BoNT/Di could be produced in sufficient yields. Activity tests using rat cerebellar granule neurons showed BoNT/E-like activity for LC/E-wt-BoNT/Di, but no PTEN-directed activity for LC/E-16x-BoNT/Di.
Impact of diabetes mellitus type two on incidence and progression of Parkinson’s disease: a systematic review of longitudinal patient cohorts
Authors: Stockmann Olga , Ye Lan , Greten Stephan , Chemodanow David , Wegner Florian , Klietz Martin 
Published: January 2025

Abstract
Parkinson’s disease (PD) is a chronic neurodegenerative disease of the elderly. Patients suffer from progressive motor and non-motor symptoms. Further, PD patients often present geriatric features like multimorbidity and polypharmacotherapy. A frequent comorbidity of PD patients is diabetes mellitus type two (T2DM). In the last decade growing evidence emerged on the impact of T2DM on PD. Of the present review was to analyze the impact of T2DM on PD incidence and progression in patient cohorts. A systematic review of the literature was performed via PubMed and Google Scholar. Studies on longitudinal PD patient cohorts with at least 10 patients per group were included. The diabetic state of the patient had to be determined. In total, 15 studies were analyzed for this review. According to most of the included studies T2DM increases the risk of developing PD significantly. Disease progression is augmented by T2DM both for motor and cognitive impairments. Some studies also point out a correlation of motor worsening and diabetic status measured by the serum HbA1c level. In relation to biomarkers, PD patients with diabetes have higher neurofilament light chain and Tau level but lower Amyloid beta level. T2DM seems to be a risk factor for the development and progression of PD. PD patients should be screened for T2DM and treatment should be initiated promptly. There is still a lack of knowledge about the molecular mechanisms leading to interactions of these diseases.
Drug interactions in a sample of inpatients diagnosed with cannabis use disorder
Authors: Schulze Westhoff Martin , Massarou Christina , Bleich Stefan , Heck Johannes , Jendretzky Konstantin Fritz , Glahn Alexander , Schröder Sebastian 
Published: January 2025

Abstract
The majority of patients with cannabis use disorder (CUD) regularly take medication. Cannabinoids influence metabolism of some commonly prescribed drugs. However, little is known about the characteristics and frequency of potential cannabis-drug (CDIs) and drug-drug interactions (DDIs) in patients with CUD. Therefore, our study aimed to determine the prevalence and characteristics of drug interactions in patients with CUD during inpatient treatment on an addiction-specific ward over a six-year-period. To this aim, medication charts were analyzed and screened for potential CDIs and DDIs. Herein, the drugs.com classification for potential CDIs and UpToDate Lexicomp program for potential DDIs were utilized. The study cohort consisted of 301 patient cases, predominantly male (85.0%), with a median age of 37 years. 89.4% (269/301) of all cases involved were taking at least one drug that could potentially interact with cannabis. Levomethadone, buprenorphine and morphine were the most common drugs involved in potentially serious CDIs. In addition, 196 DDIs were identified, of which 25.5% were classified as ‘avoid combination’ and 74.5% as ‘consider therapy modification’. Hereby, combinations of levomethadone with other psychotropic drugs most frequently accounted for potentially severe and mild DDIs. The results of our study indicate that especially patients diagnosed with CUD also receiving opioid substitution therapy are at risk for potential drug interactions. Therefore, a clinical monitoring of vigilance and respiratory function should be applied during inpatient treatment. Routine use of interaction check tools in patients diagnosed with CUD should also be considered by healthcare providers. In addition, therapeutic drug monitoring (TDM) should be used to increase medication safety in this patient population.
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson’s Disease Stage Prediction
Authors: Huang Guan-Hua , Lai Wan-Chen , Chen Tai-Been , Hsu Chien-Chin , Chen Huei-Yung , Wu Yi-Chen , Yeh Li-Ren 
Published: January 2025

Abstract
Parkinson’s disease (PD), a degenerative disorder of the central nervous system, is commonly diagnosed using functional medical imaging techniques such as single-photon emission computed tomography (SPECT). In this study, we utilized two SPECT data sets (n = 634 and n = 202) from different hospitals to develop a model capable of accurately predicting PD stages, a multiclass classification task. We used the entire three-dimensional (3D) brain images as input and experimented with various model architectures. Initially, we treated the 3D images as sequences of two-dimensional (2D) slices and fed them sequentially into 2D convolutional neural network (CNN) models pretrained on ImageNet, averaging the outputs to obtain the final predicted stage. We also applied 3D CNN models pretrained on Kinetics-400. Additionally, we incorporated an attention mechanism to account for the varying importance of different slices in the prediction process. To further enhance model efficacy and robustness, we simultaneously trained the two data sets using weight sharing, a technique known as cotraining. Our results demonstrated that 2D models pretrained on ImageNet outperformed 3D models pretrained on Kinetics-400, and models utilizing the attention mechanism outperformed both 2D and 3D models. The cotraining technique proved effective in improving model performance when the cotraining data sets were sufficiently large.
Two-year randomized controlled trial of circumferential versus segmental ab externo angle surgery in patients with primary open angle glaucoma
Authors: Elwehidy Ahmed Samy , Bayoumi Nader Hussein Lotfy , Elwehidy Mostafa A. S. , Zaky Nashaat Shawky , Hagras Sherein M. , Bayoumi Nader H. L. 
Published: January 2025

Abstract

Purpose
To compare the surgical outcomes of visco-circumferential-suture-trabeculotomy (VCST) and rigid probe segmental viscotrabeculotomy (VT) in primary open-angle glaucoma (POAG).

Study design
A prospective randomized controlled study.

Patients and Methods
Patients presenting with POAG and operated upon in Mansoura Ophthalmic Center in Mansoura, Egypt between February 2017 and September 2021 were enrolled. Study eyes were randomized to either VCST or VT and follow up extended for 24 months. Success was defined as an intra ocular pressure (IOP)≤18 mmHg with a 40% reduction from baseline. Complications were noted.

Results
The study enrolled 166 (82 in the circumferential group) eyes of 107 patients. There were no statistically significant differences between both groups in any demographic or preoperative clinical characteristics. The IOP trend demonstrated marked initial reduction (from 32.3±2.4 and 31.8±2.6 mmHg preoperatively in VCST and VT groups respectively) followed by a slow gradual rise over subsequent follow-up settling at lower IOP values in the circumferential (12.4±1.2 mmHg) than in the segmental group (15.5±0.9 mmHg) (p<0.001), both settling at significantly lower levels than preoperative values. The survival curve demonstrates complete success rates at 12, 15, 18, and 24 months were 98.8%, 96.4%, 95.1%, and 85.4% in the circumferential group and 98.8%, 92.9%, 91.7%, 79.8% in the segmental group respectively. Minimal self-limiting hyphema was universal in all study eyes.

Conclusions
Angle procedures -segmental and circumferential- are effective in lowering the IOP for at least 2 years in eyes with POAG, with circumferential angle surgery providing a greater reduction of IOP and requiring fewer subsequent glaucoma procedures.