bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent advances in nanotechnology for Parkinson’s disease: diagnosis, treatment, and future perspectives
Authors: Yadav Virendra Kumar , Dhanasekaran Seshathiri , Choudhary Nisha , Nathiya Deepak , Thakur Vishal , Gupta Rachna , Pramanik Sheersha , Kumar Pankaj , Gupta Nishant , Patel Ashish
Published: January 2025

Parkinson’s disease is a progressive neurodegenerative disease that destroys substantia nigra dopaminergic neurons, causing tremors, bradykinesia, rigidity, and postural instability. Current treatment approaches primarily focus on symptom management, employing pharmacological, non-pharmacological, and surgical methods. However, these treatments often result in fluctuating symptoms, side effects, and disease progression. Here, the authors have reviewed the emerging field of nanomedicine as a promising path for Parkinson’s disease treatment, emphasizing its potential to overcome the limitations of traditional therapies. Nanomedicine utilizes nanoparticles for targeted drug delivery, leveraging their small size and high surface area to volume ratio to cross the blood-brain barrier and deliver therapeutic agents directly to affected brain regions. Various nanoparticles, including lipid-based, polymeric, metallic, and carbon-based, have shown potential in Parkinson’s disease treatment. Additionally, nanocarrier systems like liposomes, nanogels, dendrimers, and solid lipid nanoparticles offer controlled and sustained release of therapeutic agents, enhancing their bioavailability and reducing side effects. This review provides insights into the pathophysiology of Parkinson’s disease, highlighting the mechanisms of neurodegeneration, the role of alpha-synuclein, and the disruption of dopaminergic pathways. It further discusses the application of gene therapy in conjunction with nanomedicine for targeted therapeutic interventions.
Metagenomic insights into the development of microbial communities of straw and leaf composts
Authors: Kimeklis Anastasiia K. , Gladkov Grigory V. , Orlova Olga V. , Lisina Tatiana O. , Afonin Alexey M. , Aksenova Tatiana S. , Kichko Arina A. , Lapidus Alla L. , Abakumov Evgeny V. , Andronov Evgeny E.
Published: January 2025

Introduction

Soil microbiome is a major source of physiologically active microorganisms, which can be potentially mobilized by adding various nutrients. To study this process, a long-term experiment was conducted on the decomposition of oat straw and leaf litter using soil as a microbial inoculum.

Methods

Combined analyses of enzymatic activity and NGS data for 16S rRNA gene amplicon and full metagenome sequencing were applied to study taxonomic, carbohydrate-active enzyme (CAZy), and polysaccharide utilization loci (PULs) composition of microbial communities at different stages of decomposition between substrates.

Results

In straw degradation, the microbial community demonstrated higher amylase, protease, catalase, and cellulase activities, while peroxidase, invertase, and polyphenol oxidase were more active in leaf litter. Consistent with this, the metagenome analysis showed that the microbiome of straw compost was enriched in genes for metabolic pathways of simpler compounds. At the same time, there were more genes for aromatic compound degradation pathways in leaf litter compost. We identified nine metagenome-assembled genomes (MAGs) as the most promising prokaryotic decomposers due to their abnormally high quantity of PULs for their genome sizes, which were confirmed by 16S rRNA gene amplicon sequencing to constitute the bulk of the community at all stages of substrate degradation. MAGs from Bacteroidota (Chitinophaga and Ohtaekwangia) and Actinomycetota (Streptomyces) were found in both composts, while those from Bacillota (Pristimantibacillus) were specific for leaf litter. The most frequently identified PULs were specialized on xylans and pectins, but not cellulose, suggesting that PUL databases may be underrepresented in clusters for complex substrates.

Discussion

Our study explores microbial communities from natural ecosystems, such as soil and lignocellulosic waste, which are capable of decomposing lignocellulosic substrates. Using a comprehensive approach with chemical analyses of the substrates, amplicon, and full metagenome sequencing data, we have shown that such communities may be a source of identifying the highly effective decomposing species with novel PULs.
Deep learning in microbiome analysis: a comprehensive review of neural network models
Authors: Przymus Piotr , Rykaczewski Krzysztof , Martín-Segura Adrián , Truu Jaak , Carrillo De Santa Pau Enrique , Kolev Mikhail , Naskinova Irina , Gruca Aleksandra , Sampri Alexia , Frohme Marcus , Nechyporenko Alina
Published: January 2025

Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. However, despite their potential, deep learning approaches face significant challenges in microbiome research. Additionally, the biological variability in microbiome datasets requires tailored approaches to ensure robust and generalizable outcomes. As microbiome research continues to generate vast and complex datasets, addressing these challenges will be crucial for advancing microbiological insights and translating them into practical applications with DL. This review provides an overview of different deep learning models in microbiome research, discussing their strengths, practical uses, and implications for future studies. We examine how these models are being applied to solve key problems and highlight potential pathways to overcome current limitations, emphasizing the transformative impact DL could have on the field moving forward.
Duplex qPCR for detecting and differentiating porcine epidemic diarrhea virus GI and GII subtypes
Authors: Wang Bin , Han Wang , Wu Di , Jing Yue , Ma Li , Jiang Feiyang , Ji Shusen , Bai Lianmei , Yu Xiuju , Hou Wei , Wang Shouyu , Wang Haidong
Published: January 2025

Introduction

Porcine epidemic diarrhea virus (PEDV) is a pathogen that causes a highly contagious intestinal disease in pigs, which causes significant economic losses to the pig industry worldwide. PCR is the most commonly used technique for PEDV diagnosis in practical clinics, however, reported works still suffer from shortcomings, for example, most of them cannot differentiate GI and GII subtypes, they suffer from low sensitivity, and some primer sequences are no longer able to match the mutant strains.

Methods

To address these issues, we conducted a comprehensive analysis by comparing the sequences of the PEDV S protein in the existing NCBI database with a recently isolated epidemic strain of PEDV, named SX0818-2022, of subtype GIIa from Shanxi, China. The conserved sequences of GI and GII subtypes were retrieved to design the primers and probe. Leveraging this information, we developed a TaqMan probe-based quantitative real-time PCR (qPCR) assay that is uniquely tailored to detect both PEDV GI and GII subtypes.

Results

Additionally, this qPCR can identify PEDV GI and GII subtypes with high sensitivities of 90 copies/μL and 40 copies/μL, respectively (refers to the number of copies of the DNA target per microliter of template in the reaction system), much higher than the previously reported works and especially suitable for early diagnosis and prevention. Besides, excellent specificity and repeatability of the duplex qPCR were verified, thus supporting its potential applications in practical clinics.

Discussion

Therefore, this work presents a promising tool for PEDV diagnosis, prevention, and control.
Association of hepatitis B virus DNA levels with efficacy and safety and the impact of antiviral therapy on prognosis in liver cancer patients receiving immune checkpoint inhibitors therapy: a systematic review and meta-analysis
Authors: Cui Hongxia , Li Su , Lv Wu , Xiang Jing
Published: January 2025

Background

The current evidence regarding the relationship between baseline hepatitis B virus (HBV) DNA levels and survival outcomes in liver cancer patients receiving immune checkpoint inhibitors (ICIs) remains inconsistent. Therefore, this review was intended to explore the impact of the baseline HBV-DNA level on the efficacy and safety of ICIs in patients with liver cancer.

Methods

Relevant studies were identified through a comprehensive search in PubMed, EMBASE, Cochrane Library, and Web of Science up to August 1, 2024. The outcomes were hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS), as well as odds ratios (ORs) for objective response rate (ORR), disease control rate (DCR) and HBV reactivation (HBVr). Subgroup analysis, publication bias, and sensitivity analysis were conducted with STATA 14.0.

Results

This meta-analysis comprised 17 articles involving a total of 2,130 patients. The pooled results demonstrated that high HBV DNA was associated with a worse OS (HR = 1.48 95% CI 1.11–1.96). Further subgroup analysis showed that there was no difference in OS between the high HBV DNA group and low HBV DNA group when all patients received antiviral treatment. No associations between baseline HBV DNA and PFS (HR = 1.08, 95% CI 0.90–1.29), ORR (OR = 0.91, 95% CI 0.65–1.28), or DCR (OR = 0.83, 95% CI 0.58–1.20) were observed. The risk of HBVr in the high HBV DNA group was lower than that in the low HBV DNA group (OR = 0.30, 95% CI 0.15–0.58), especially among patients who received antiviral therapy (OR = 0.42, 95% CI 0.18–0.98).

Conclusion

High HBV DNA was associated with worse OS, but not with PFS, ORR, or DCR in liver cancer patients receiving ICIs. When patients were simultaneously treated with antiviral treatment, elevated HBV DNA level had no unfavorable impact on the efficacy of ICIs. Furthermore, the risk of HBVr in the high HBV-DNA group was lower than that in the low HBV DNA group. More prospective studies with larger sample sizes are essential to confirm the results.
Gut microbiota in patients with sarcopenia: a systematic review and meta-analysis
Authors: Wang Guangning , Li Yujie , Liu Huisong , Yu Xinjuan
Published: January 2025

Background

Intestinal dysbiosis was considered a pivotal pathological mechanism underlying sarcopenia. Despite the fervor surrounding research in this domain, substantial controversy persists regarding the obtained outcomes.

Objective

To systematically summarized the disparities in gut microbiota composition between the group afflicted by sarcopenia and non-sarcopenia controls.

Methods

PubMed, Medline, CINAHL, EMBASE, Scopus, Web of Science and Google Scholer, Cochrane Library and gray literature sources were systematically searched for in randomized controlled trials. Meta-analysis and random-effects meta-regression were conducted using Rev. Man 5.3. Overall effect was measured using Hedges’s g and determined using Z-statistics. Cochran’s Q test and I2 were used to investigate heterogeneity. The Newcastle-Ottawa Scale was used to assess overall quality of evidence.

Results

Ten studies, including 421 cases of sarcopenia and 1,642 cases of controls, were included in the meta-analysis. Patients with sarcopenia showed significantly reduced gut microbiota in α diversity, and β diversity was significantly different in 8/9 of included studies. We also found more abundance of phylum Proteobacteria and genus Escherichia-Shigella, and less abundance of phylum Firmicutes and genus Faecalibacterium, Prevotella 9, Blautia in the sarcopenia group.

Conclusion

The gut microbiota composition in patients with sarcopenia has undergone alterations, serving as a fundamental reference for further investigation into the potential pathogenic mechanisms and treatment strategies for sarcopenia.
The effects of an acute Tai Chi on emotional memory and prefrontal cortex activation: a fNIRS study
Authors: Wang Haining , Guo Yujiang , Fan Hao , Chen Zhihao , Liu Shumeng , Zhao Longfei , Shi Yonggang
Published: January 2025

Objective

Acute exercise has the potential to influence emotional memory and cortical hemodynamics, but the specific effects depend on the type of exercise. This study aimed to determine whether acute Tai Chi practice enhances emotional memory and prefrontal cortex activation compared to cycling and a control condition.

Methods

Using a within-subjects crossover design, 36 healthy university students completed three interventions: Tai Chi, cycling, and a resting control condition. Emotional memory performance was assessed before and after each intervention, and cortical hemodynamics were measured using functional near-infrared spectroscopy (fNIRS). The correlation between oxyhemoglobin (Oxy-Hb) concentration in the prefrontal cortex and emotional memory accuracy was analyzed.

Results

Compared to cycling and the control group, the Tai Chi intervention showed: (1) a significantly higher accuracy of positive emotional memory; (2) a greater increase in Oxy-Hb concentration in the left dorsolateral prefrontal cortex (L-DLPFC) during positive emotional memory tasks; (3) a stronger positive correlation between Oxy-Hb concentration in the L-DLPFC and emotional memory accuracy. In contrast, cycling improved positive emotional memory accuracy to a lesser extent, while the control group showed no significant changes.

Conclusion

Tai Chi, compared to cycling and rest, significantly enhanced positive emotional memory and L-DLPFC activation. These findings highlight the unique potential of Tai Chi to improve emotional memory through increased cortical activation, suggesting its effectiveness as a cognitive-emotional intervention.
AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding
Authors: Wu Xuejian , Chu Yaqi , Li Qing , Luo Yang , Zhao Yiwen , Zhao Xingang
Published: January 2025

Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed patients. But the low signal-to-noise ratio of MI EEG makes it difficult to decode effectively and hinders the development of BCI. In this paper, a method of attention-based multiscale EEGNet (AMEEGNet) was proposed to improve the decoding performance of MI-EEG. First, three parallel EEGNets with fusion transmission method were employed to extract the high-quality temporal-spatial feature of EEG data from multiple scales. Then, the efficient channel attention (ECA) module enhances the acquisition of more discriminative spatial features through a lightweight approach that weights critical channels. The experimental results demonstrated that the proposed model achieves decoding accuracies of 81.17, 89.83, and 95.49% on BCI-2a, 2b and HGD datasets. The results show that the proposed AMEEGNet effectively decodes temporal-spatial features, providing a novel perspective on MI-EEG decoding and advancing future BCI applications.
Functional MRI study of neurovascular coupling in patients with non-lesional epilepsy
Authors: Li Zhisen , Hou Xiaoxia , Lu Yanli , Zhao Huimin , Wang Meixia , Gui Qian , Wu Guanhui , Xu Qinrong , Dong Xiaofeng , Cheng Qingzhang , Xu Xiaowen , Feng Hongxuan
Published: January 2025

Objective

The diagnosis of patients with non-lesional epilepsy (NLE) is relatively challenging because of the absence of a clear focus on imaging, and the underlying pathological mechanism remains unclear. The neuronal activity and functional connectivity of NLE patients are significantly abnormal, and the neuronal activity of epilepsy patients is closely related to cerebral blood flow (CBF). Neurovascular coupling (NVC) offers insights into the relationship between neuronal activity and CBF. Hence, we intend to explore the alterations of NVC in NLE patients and their influences on cognitive function.

Methods

Clinical data of 24 patients with NLE (15 female; age range 19–40 years; median age 30.5 years) and 39 healthy controls (27 female; age range 19–40 years; median age 30 years) were collected, and resting-state functional magnetic resonance imaging (rs-fMRI) and 3D arterial spin labeling (ASL) were performed. The imaging indexes of amplitude of low-frequency fluctuation (ALFF) and CBF were calculated, respectively, by post-processing analysis. The differences in CBF, ALFF and CBF/ALFF ratio between the two groups were analyzed, along with correlation with clinical data of NLE patients.

Results

Compared with the healthy controls, the CBF of the right parahippocampal gyrus was significantly decreased, and the CBF/ALFF ratio of the right inferior parietal, but supramarginal and angular gyri was significantly increased in NLE patients (p < 0.001). Moreover, the CBF/ALFF ratio was positively correlated with epilepsy depression score (r = 0.546, p = 0.006).

Conclusion

NLE patients showed abnormal local NVC, which was associated with the severity of depression. The combined application of rs-fMRI and ASL can comprehensively evaluate the neuronal activity and cerebral blood perfusion in patients with NLE. The abnormal NVC is of great significance for us to explore the central mechanism of the occurrence and development of NLE.
The effect of infra low frequency–neurofeedback training on pistol shooting performance and attention in semi-skilled players
Authors: Bakhtafrooz Safoura , Kavyani Maryam , Farsi Alireza , Alboghebeish Saeed
Published: January 2025

Purpose

Neurofeedback (NF) typically involves an operant conditioning or other reinforcement protocol aimed at self-regulating patterns of brain activation. Endogenous Neuromodulation, characterized by the absence of discrete reinforcers, has emerged over the last two decades with the extension of training into the infra-low frequency regime, i.e., below 0.1 Hz. Specifically, Infra-Low Frequency (ILF) Neurofeedback training has demonstrated efficacy in enhancing the self-organization and regulation of the central nervous system in considerable generality. The present study explores a pivotal question: Can Infra-Low Frequency (ILF) Neurofeedback, acknowledged for its influence on arousal, vigilance, and emotional states, effectively enhance both attention generally and shooting performance specifically? Additionally, we explored whether the training exerted beneficial effects on three attentional networks—Conflict, Orienting, and Alerting.

Methods

To assess shooting performance, we employed the Shooter’s Coordination Analysis Target Training (SCATT), while attention networks were gauged through the Attention Network Test (ANT). Twenty semi-skilled pistol shooters, aged 28–40, underwent both the ANT and SCATT assessments before and after completing 20 half-hour ILF-Neurofeedback sessions. The participants were randomly assigned to two groups: an ILF NFB group, which underwent 20 sessions of ILF NFB training, and a control group that received no NFB.

Results

Our findings revealed that ILF-Neurofeedback significantly enhanced performance. In the ANT, the training led to a reduction in Conflict and an increase in Orienting and Alerting.

Conclusion

The study demonstrates the effectiveness of ILF-Neurofeedback in improving shooting performance, and in positively impacting all three attention networks assessed by the ANT.
The frontal and posterior cortical areas involved in the non-spatial visual allocation of attention in the human brain: a functional neuroimaging study
Authors: Drudik Kristina , Zlatkina Veronika , Barbeau Elise B. , Petrides Michael
Published: January 2025

Previous functional neuroimaging studies had demonstrated the involvement of cytoarchitectonic area 8Av of the prefrontal cortex in the cognitive allocation of attention to spatial stimuli. The present functional magnetic resonance imaging (fMRI) study examined brain activity related to the allocation of attention to non-spatial visual stimuli, i.e., stimuli that are defined by their perceptual features and are independent of their location. The study established (a) the involvement of area 8Av in the allocation of attention to non-spatial stimuli in the environment and (b) the areas co-activated with area 8Av across the entire cortex so that the complete functional cortical network could be defined. Finally, based on individual subject analysis, the functional activity in area 8Av was related to specific sulci in the caudal middle frontal gyrus. The novel information provided by the current fMRI study significantly advances our understanding of the role of area 8Av in the selective allocation of attention to stimuli in the environment.
Validation of deep-learning accelerated quantitative susceptibility mapping for deep brain nuclei
Authors: Zhou Ying , Liu Lingyun , Xu Shan , Ye Yongquan , Zhang Ruiting , Zhang Minming , Sun Jianzhong , Huang Peiyu
Published: January 2025

Purpose

To test the feasibility and consistency of a deep-learning (DL) accelerated QSM method for deep brain nuclei evaluation.

Methods

Participants were scanned with both parallel imaging (PI)-QSM and DL-QSM methods. The PI- and DL-QSM scans had identical imaging parameters other than acceleration factors (AF). The DL-QSM employed Poisson disk style under-sampling scheme and a previously developed cascaded CNN based reconstruction model, with acquisition time of 4:35, 3:15, and 2:11 for AF of 3, 4, and 5, respectively. For PI-QSM acquisition, the AF was 2 and the acquisition time was 6:46. The overall image similarity was assessed between PI- and DL-QSM images using the structural similarity index (SSIM) and peak signal-to-noise ratio (PSNR). QSM values from 7 deep brain nuclei were extracted and agreements between images with different Afs were assessed. Finally, the correlations between age and QSM values in the selected deep brain nuclei were evaluated.

Results

59 participants were recruited. Compared to PI-QSM images, the mean SSIM of DL images were 0.87, 0.86, and 0.85 for AF of 3, 4, and 5. The mean PSNR were 44.56, 44.53, and 44.23. Susceptibility values from DL-QSM were highly consistent with routine PI-QSM images, with differences of less than 5% at the group level. Furthermore, the associations between age and QSM values could be consistently revealed.

Conclusion

DL-QSM could be used for measuring susceptibility values of deep brain nucleus. An AF up to 5 did not significantly impact the correlation between age and susceptibility in deep brain nuclei.
Low back pain trends attributable to high body mass index over the period 1990–2021 and projections up to 2036
Authors: Zhang Jiling , Wang Baodong , Zou Congying , Wang Tianyi , Yang Lihui , Zhou Yu
Published: January 2025

Background

High body mass index (BMI) is a crucial determinant in low back pain (LBP) incidence and progression. However, the effect of increased BMI on LBP has been largely overlooked at the global, regional, and national levels. This research aimed to use data from the 2021 global burden of disease (GBD) study to determine trends associated with LBP due to high BMI from 1990 to 2021, thereby providing evidence for developing targeted policies.

Methods

Epidemiological data on the association between high BMI and LBP is obtained from the GBD 2021. Disability-adjusted life-years (DALYs) attributable to high BMI-related LBP are stratified by year, age, country, and socio-demographic index (SDI). The estimated annual percentage change (EAPC) was calculated to evaluate the trends from 1990 to 2021. A Bayesian age-period cohort (BAPC) model was used to assess the corresponding trends from 2022 to 2036. Additionally, statistical models, such as decomposition analysis and frontier analysis, were used.

Results

According to the GBD 2021, the number of DALYs caused by LBP attributed to high BMI reached 8,363,759 in 2021, which is an increase of 170.97% since 1990. The age-standardized rate of disability-adjusted life years (ASDR) for LBP caused by high BMI has been increasing from 1990 to 2021, with an EAPC of 1.14%. Among the five SDI regions, ASDR has increased. High-income North Americans exhibited the highest risk of LBP caused by high BMI, with Hungary being the most affected. Frontier analysis highlights the urgent need for intervention in countries such as the Netherlands, Germany, and Canada. Finally, the burden of LBP related to high BMI will continue to rise from 2022 to 2036.

Conclusion

Between 1990 and 2021, there was a global increase in lower back pain due to high BMI, with a projected continuation of this trend. Monitoring BMI is crucial for developing region-specific and national strategies, and research emphasizes the urgency of reducing the health burden of high BMI and improving the quality of life for the global population.
Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
Authors: Li Qian , Zhao Yuanyuan , Yan Jiawei , He Chao
Published: January 2025

Objectives

Genome-wide association studies (GWAS) have pinpointed several risk loci linked to thyroid cancer; however, the discovery of new plasma proteins implicated in immunosenescence continues to pose significant challenges. This study aims to uncover novel plasma proteins tied to aging, potentially contributing to thyroid cancer, utilizing diverse investigative methodologies.

Methods

In this research, we utilized an integrative omics approach to identify novel plasma proteins associated with immunosenescence in relation to the risk of thyroid cancer. Additionally, we performed meta-analyses to pinpoint loci and genes affected by pleiotropic effects. Finally, complementary results were obtained from an independent cohort analyzed at Chongqing Medical University Yongchuan Hospital and Bulk-RNA seq from GEO database.

Results

Causal analysis suggests that DNA methylation age acceleration as measured by the Hannum method increases the risk of thyroid cancer (OR: 1.126, 95% CI: 1.002-1.265, P=0.046). Subsequently, we conducted a meta-analysis on the relationship between Hannum DNA methylation age and thyroid cancer risk, which identified 138 potential risk loci through FUMA. Additionally, proteomics and transcriptomics collectively identified 6 potential targets related to immunosenescence and thyroid cancer. Subsequently, Bulk-seq results indicated differential expression of GFRA2 and LILRA2 genes in thyroid cancer. Finally, analyses from an independent cohort at the Second Affiliated Hospital of Chongqing Medical University also demonstrated high expression of LILRA2 in thyroid cancer patients.

Conclusions

This study identified novel plasma proteins associated with immunosenescence that may be linked to thyroid cancer development. These findings enhance our understanding of the immunosenescence-thyroid cancer link and support future diagnostic and therapeutic developments.
Better understanding the phenotypic effects of drugs through shared targets in genetic disease networks
Authors: Díaz-Santiago Elena , Moya-García Aurelio A. , Pérez-García Jesús , Yahyaoui Raquel , Orengo Christine , Pazos Florencio , Perkins James R. , Ranea Juan A. G.
Published: January 2025

Introduction

Most drugs fail during development and there is a clear and unmet need for approaches to better understand mechanistically how drugs exert both their intended and adverse effects. Gaining traction in this field is the use of disease data linking genes with pathological phenotypes and combining this with drugtarget interaction data.

Methods

We introduce methodology to associate drugs with effects, both intended and adverse, using a tripartite network approach that combines drug-target and target-phenotype data, in which targets can be represented as proteins and protein domains.

Results

We were able to detect associations for over 140,000 ChEMBL drugs and 3,800 phenotypes, represented as Human Phenotype Ontology (HPO) terms. The overlap of these results with the SIDER databases of known drug side effects was up to 10 times higher than random, depending on the target type, disease database and score threshold used. In terms of overlap with drug-phenotype pairs extracted from the literature, the performance of our methodology was up to 17.47 times greater than random. The top results include phenotype-drug associations that represent intended effects, particularly for cancers such as chronic myelogenous leukemia, which was linked with nilotinib. They also include adverse side effects, such as blurred vision being linked with tetracaine.

Discussion

This work represents an important advance in our understanding of how drugs cause intended and adverse side effects through their action on disease causing genes and has potential applications for drug development and repositioning.
Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms
Authors: Shi Bing , Guo Luqi , Yu Lejun
Published: January 2025

The leaf area index (LAI) is a critical parameter for characterizing plant foliage abundance, canopy structure changes, and vegetation productivity in ecosystems. Traditional phenological measurements are often destructive, time-consuming, and labor-intensive. This paper proposes a high-throughput 3D point cloud data processing pipeline to segment field soybean plants and estimate their LAI. The 3D point cloud data is obtained from a UAV equipped with a LiDAR camera. First, The PointNet++ model was applied to simplify the segmentation process by isolating field soybean plants from their surroundings and eliminating environmental complexities. Subsequently, individual segmentation was achieved using the Watershed approach and k-means clustering algorithms, segmenting the field soybeans into individual plants. Finally, the LAI of soybean plant was estimated using a machine learning method and validated against measured values. The PointNet++ model improved segmentation accuracy by 6.73%, and the watershed algorithm achieved F1 scores of 0.89–0.90, outperforming k-means in complex adhesion cases. For LAI estimation, the SVM model showed the highest accuracy (R² = 0.79, RMSE = 0.47), with RF and XGBoost also performing well (R² > 0.69, RMSE< 0.65). This indicates that the individual segmentation algorithm, Watershed-based approach combined with PointNet++, can serve as a crucial foundation for extracting high-throughput plant phenotypic data. The experimental results confirm that the proposed method can rapidly calculate the morphological parameters of each soybean plant, making it suitable for high-throughput soybean phenotyping.
Improving the N-glycosylation occupancy of plant-produced IgG1 by engineering the amino acid environment at Asn297
Authors: Göritzer Kathrin , Ruocco Valentina , Vavra Ulrike , Izadi Shiva , Bolaños-Martínez Omayra C. , Phetphoung Thareeya , Pisuttinusart Nuttapat , Phoolcharoen Waranyoo , Strasser Richard
Published: January 2025

Monoclonal antibodies are crucial recombinant biopharmaceuticals, with N-glycosylation at Asn297 essential for their functionality. Plants are increasingly used for antibody production, achieving high expression levels and enabling glycoengineering to produce homogenous human-like N-glycan structures. However, plant-produced human IgG1 often shows significant underglycosylation with potential adverse effects for immune functions and stability. This study addressed this limitation of the widely used plant-based expression platform Nicotiana benthamiana by employing protein engineering to enhance N-glycosylation occupancy in plant-produced IgG1. This was achieved through an amino acid mutation near the conserved glycosylation site in the CH2 domain of the heavy chain. The transient expression of trastuzumab and SARS-CoV-2 neutralizing IgG1 antibody COVA2-15 in N. benthamiana, with mutations such as Y300L, resulted in a notable improvement in glycosylation occupancy. While the structural integrity and monodispersity of the IgG1 variant remained unaltered, an improvement in thermal stability was observed. Furthermore, functional assays showed that antigen binding and human hFcRn interaction were unaffected, while FcγRIIIa binding affinity increased. These findings demonstrate the potential of protein-engineering to enhance the quality and functionality of plant-produced IgG1 antibodies, making them comparable to mammalian-produced counterparts.
Influence of lobbying in EU policy process phases
Authors: Serna-Ortega Álvaro , Almansa-Martínez Ana , Castillo-Esparcia Antonio
Published: January 2025

The influence of lobbies in the European Union is a complex phenomenon that must be analyzed through various direct and indirect conditioning dimensions. This theoretical research examines the impact of pressure groups at each of the six stages of the public policy formulation process in the supranational entity: problem emergence in society, agenda setting, consideration of policy options, decision-making, policy implementation, and policy evaluation. The study reveals how the influence of lobbies fluctuates depending on the point in the process and the type of interests they represent. Lobbies with social interests tend to have an advantage in phases involving public engagement, using grassroots lobbying strategies. On the other hand, economic lobbies dominate in phases that require contact with legislators, employing direct communication strategies. Among the direct conditioning dimensions, economic capacity–whether explicitly or implicitly−and access to decision-makers are crucial factors in determining the degree of influence. Additionally, in terms of indirect dimensions, media coverage is considered the most explanatory element regarding the influence capacity of lobbies, particularly at the initial and final stages of the governance cycle.
Investigation of the effectiveness of parent-child interaction therapy on adjustment and behavioral problems in children with subthreshold autism
Authors: Seçer İsmail , Ulaş Sümeyye , Tatlı Eda , Çimen Fatmanur , Bülbül Burcu , Tosunoğlu Beyzanur
Published: January 2025

Background

Autism Spectrum Disorder (ASD) is an increasingly prevalent neurodevelopmental disorder. However, the number of children who exhibit subthreshold levels of ASD symptoms, significant enough to experience functional and adaptive difficulties, is also substantial. These children require early interventions, similar to those diagnosed with ASD, due to their exhibited adaptive and behavioral challenges. PCIT offers a unique opportunity for children and their parents exhibiting subthreshold ASD to address such challenges through its practices and techniques.

Aim

This study aims to assess the initial result effectiveness of standard PCIT on the adaptive skills and school refusal behaviors of children exhibiting subthreshold ASD, as well as on the levels of parental stress and caregiving burden. The study intends to test these effects and report the outcomes.

Method

This study is a case study, and it involves three children with subthreshold ASD symptoms and their parents. The therapy processes were conducted for approximately 1 year.

Result

Results obtained from this study revealed that PCIT holds promising prospects for improving adaptive and interaction skills, reducing school refusal, and alleviating parental stress and caregiving burden among children exhibiting subthreshold ASD.

Discussion

PCIT is considered a functional approach for children and parents demonstrating subthreshold ASD symptoms, besides interventions addressing diagnosed ASD children. It is suggested that future studies should evaluate the effectiveness and sustainability of PCIT through randomized controlled trials in the context of subthreshold ASD.
The impact of artistic sports on academic self-efficacy
Authors: Tian Yanyan , Wang Haiqing
Published: January 2025

Introduction

Artistic sports have a more positive impact on adolescents on the basis of basic sports. This study delves into the beneficial effects of Artistic sports compared to basic sports in enhancing academic self-efficacy in college students, and investigates the mediating roles of mindfulness, social anxiety, and academic procrastination in this process.

Methods

A questionnaire survey was conducted among students in some universities in Gansu Province, collecting a total of 1,976 online questionnaires, including 263 males and 1,713 females, with 1,543 participants in Artistic sports courses and 433 participants in basic sports. Data processing was carried out using SPSS 26.0 software and its plugin PROCESS.

Results

The analysis results indicate significant differences in mindfulness, social anxiety, academic procrastination, and academic self-efficacy among different types of sports training (ps < 0.05); significant correlations were found among all variables (ps < 0.001). Sports training types can directly predict academic self-efficacy (β = 0.069, t = 3.155, p < 0.01), further confirming that sports training types can directly predict academic self-efficacy. Moreover, mindfulness, social anxiety, and academic procrastination play a chain mediating role between Artistic sports and academic self-efficacy.

Discussion

These findings highlight the potential value of Artistic sports in enhancing academic self-efficacy and provide practical guidance for education policymakers, school administrators, teachers, parents, and students to promote adolescent academic and psychological health development. It is recommended to enhance the promotion and training of Artistic sports.
Dispositional mindfulness and psychological well-being: investigating the mediating role of meaning in life
Authors: Aldbyani Aamer , Wang Guiyun , Chuanxia Zhang , Qi Yanxia , Li Jiaojiao , Leng Jie
Published: January 2025

Introduction

Mindfulness has been widely recognized for its positive impact on various aspects of psychological well-being. Prior research has investigated the role of mindfulness in enhancing hope and life satisfaction as separate constructs. However, limited attention has been given to the simultaneous influence of mindfulness on both hope and life satisfaction and the underlying mechanisms that may explain these relationships. This study examines the role of dispositional mindfulness in fostering hope and life satisfaction concurrently and explores the potential mediating role of meaning in life in this relationship.

Methods

A total of 1,766 Chinese college students from Shandong Xiehe University participated in the study. Participants completed the Mindful Attention Awareness Scale (MAAS) to assess dispositional mindfulness, the Adult Hope Scale (AHS) to measure hope, the Satisfaction with Life Scale (SWLS) to evaluate life satisfaction, and the Meaning in Life Questionnaire (MLQ) to assess their perceived meaning in life. Statistical analyses, including mediation analysis, were conducted to explore the relationships among these variables.

Results

The findings indicated that meaning in life partially mediated the relationship between dispositional mindfulness and both hope and life satisfaction. Specifically, higher levels of dispositional mindfulness were associated with greater hope and life satisfaction, and this relationship was partially explained by increased perceptions of meaning in life.

Discussion

These results underscore the critical role of meaning in life as a mediator in the positive effects of mindfulness on psychological well-being. The findings suggest that interventions aimed at enhancing mindfulness may benefit from incorporating strategies to foster meaning in life, thereby amplifying their impact on hope and life satisfaction. This study advances our understanding of the mechanisms linking mindfulness to key indicators of psychological well-being and highlights the integrative role of meaning in life in these processes.
How coach leadership behavior influences athletes’ performance: the chain-mediated role of the coach-athlete relationship and psychological fatigue
Authors: Liu Rui , Wang Shanshan , Li Jun
Published: January 2025

Objective

Athletes’ psychological quality and competitive level are deeply influenced by coaches’ leadership behavior. It is of far-reaching significance to systematically investigate the relationship between them for carrying out scientific training and improving athletes’ competitive level. This study aims to investigate the relationships among coach leadership behavior, the coach-athlete relationship, psychological fatigue, and athletes’ performance, providing insights into enhancing athletes’ sports performance.

Methods

Using simple random sampling, 556 athletes (44.60% female) were recruited from professional training teams in the Xinjiang and Shanxi provinces of China as the study sample. The sample includes 47 s-class national athletes, 276 first-class national athletes, 171 master-class athletes, and 62 international-level athletes. Data were collected through offline surveys using the Coach Leadership Behavior Scale, the Tennis Performance Scale, the Coach-Athlete Relationship Questionnaire, and the Athlete Psychological Fatigue Questionnaire.

Results

Democratic leadership behavior, autocratic leadership behavior, training and instruction behavior, social support behavior, and positive feedback behavior are positively correlated with the “coach-athlete” relationship and athlete performance, and negatively correlated with psychological fatigue. The “coach-athlete” relationship and psychological fatigue can serve as both simple mediators and chain mediators between democratic leadership behavior, autocratic leadership behavior, training and instruction behavior, social support behavior, positive feedback behavior, and athlete performance.

Conclusion

This study systematically explored the complex relationships among coach leadership behavior, the coach-athlete relationship, psychological fatigue, and athletes’ sports performance. The findings suggest that positive coach leadership behavior may contribute to the development of athletes’ performance. Furthermore, the study underscores the significance of the coach-athlete relationship and psychological fatigue as key mechanisms through which coach leadership behavior influences athletes’ sports performance.
The unconscious sibling rivalry in psychoanalytic institutions
Authors: Reghintovschi Simona
Published: January 2025

What unconscious elements fuel the ‘radioactive atmosphere’ of psychoanalytic institutions – those unconscious sources of the chronic conflicts that sometimes plague the relationships among members of psychoanalytical societies and obscure the path of a constructive resolution of conflicts, creating a toxic climate that stultifies members’ creativity, hindering progress and further development? An empirical research was conducted using the psychoanalytically informed research interview as an experimental situation. The main findings indicates unconscious sibling rivalry as the source of conflict in the psychoanalytic institution studied, along with narcissism of minor differences. The implications for psychoanalytic training are discussed.
Macrostructures and rhetorical moves in research articles in nanotechnology
Authors: Luo Xianqing , Ji Jiajie
Published: January 2025

Introduction

Notwithstanding the fact that extensive studies focused on exploring generic structures in established disciplines, scant attention has been directed to macrostructures and rhetorical moves in RAs in some emerging disciplines.

Methods

Based on a self-compiled corpus of 50 research articles (RAs) from five top ranking journals in the field of Nanotechnology, we explored the macrostructures and rhetorical moves in RAs in Nanotechnology.

Results

It was found that (i) scientists in Nanotechnology have a propensity to employ a merged [R&D] structure to immediately discuss and contribute new knowledge tentatively in the specific contextualised situation after research results were presented, (ii) Even though RAs in Nanotechnology largely follows IMRD structure by abiding writing conventions in the research world, disciplinary variations were found regarding the rhetorical structures, specifically, scientists in Nanotechnology tend to employ more moves and steps in establishing research niche, detailed description of research methods, suggesting future research, but less moves and steps related to promotional strategies (M3S4, M3S5, M3S6).

Discussion

The research results have significant implications for English for Academic Purposes (EAP) instructors to make informed choices by using disciplinary empirical-based decisions to guide novice writers and students at tertiary level to write RAs by following disciplinary conventions of research communities in Nanotechnology so as to avoid overgeneralization.
Parents’ social comparisons and adolescent self-esteem: the mediating effect of upward social comparison and the moderating influence of optimism
Authors: Liu Hongyang , Kvintova Jana , Vachova Lucie
Published: January 2025

Parents’ social comparison is a common phenomenon that occurs in China. It refers to the behavior of parents imagining other people’s children as an excellent role model without shortcomings and comparing their own children with them. This behavior may affect their child’s mood. The purpose of this study was to explore the impact of parents’ social comparison on adolescents’ self-esteem through the mediating role of upward social comparison, and to explore the moderating role of optimism in upward social comparison and self-esteem. Parents’ social comparison questionnaire, upward social comparison questionnaire, self-esteem questionnaire and life orientation questionnaire were distributed through online questionnaires, and 576 valid questionnaires were received. The results of the study found that upward social comparison plays a partial mediating role in the negative impact of parents’ social comparison on self-esteem, and optimism plays a moderating role in the impact of upward social comparison on self-esteem. This study illustrates the harmful effects of parents’ social comparison on adolescent mental health, but this harm can be mitigated through the teaching of optimism. This study shows that parents’ social comparison is not advisable, and attention should be paid to maintaining the optimistic attitude of teenagers to ensure their healthy growth.
The relationship between spiritual well-being and fear of cancer progression in Iranian cancer patients
Authors: Goudarzian Amir Hossein , Mazhari Seyed Amirhossein , Sobhanian Pooria , Farhadi Bahar , Kalantari Soheyla , Taebi Mozhgan
Published: January 2025

Introduction

This study aimed to investigate the nuanced relationship between spiritual well-being and fear of cancer progression among individuals diagnosed with cancer.

Methods

The study was conducted in 2023 and utilized a predictive cross-sectional survey. A total of 398 cancer patients were recruited using convenience sampling. The Spiritual Well-Being Scale (SWBS) and the Fear of Progression (FOP) scale were used for data collection. Data analysis was performed using SPSS version 26, AMOS, and JASP to assess the reliability of the constructs and the potential relationship between the two main variables.

Results

The mean age of the participants was 49.14 years (SD = 16.16, 95% CI: 47.55 50.74). All constructs demonstrated strong factorial validity and reliability. Simple linear regression analysis revealed that spiritual well-being significantly predicted fear of cancer progression (R2 = 0.064, F = 27, p < 0.001).

Discussion

The findings indicated a significant relationship between spiritual well-being and fear of cancer progression. These results highlighted the interconnectedness of spiritual well-being and fear of cancer progression among cancer patients.