bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Kecerdasan Emosional Dengan Kenakalan Remaja di Sekolah Menengah Kejuruan Negeri 1 Padang
Authors: Aprilia Feby , Renidayati Renidayati , Herwati Herwati , Sasmita Heppi , Tasman Tasman
Published: October 2024

Angka kenakalan remaja mengalami peningkatan 0,70% dapat dilihat dari tingginya kenakalan remaja seperti membolos, merokok, berkelahi, dll. Kenakalan remaja dipengaruhi beberapa factor yaitu keluarga, teman sebaya yang kurang baik, lingkungan tempat tinggal serta kecerdasan emosional yang rendah. Kecerdasan emosional mampu mengendalikan remaja dengan baik untuk membangun diri sendiri ,memahami diri sendiri dan hubungan interpersonal yang baik dengan orang lain. Penelitian ini bertujuan untuk mengetahui hubungan kecerdasan emosional dengan kenakalan remaja. Penelitian ini dilakukan bulan Oktober 2022-Juni 2023 di Sekolah Menengah Kejuruan Negeri 1 Padang. Desain penelitian Cross Sectional. Populasi pada yaitu 481 orang dan sampel 83 orang menggunakan rumus Slovin. Teknik pengumpulan data menggunakan kuesioner dan google form. Analisis data dengan uji Chi-Square. Hasil penelitian menunjukkan remaja mengalami kecerdasan emosional rendah  (53,0%) dan  remja mengalami kenakalan remaja tinggi (54,2%) ada hubungan antara kecerdasan emosional dengan kenakalan remaja di Sekolah Menengah Kejuruan Negeri 1 Padang dengan nilai (p-Value 0,012). Berdasarkan hasil penelitian diharapkan melalui Kepala Sekolah Menengah Kejuruan Negeri 1 padang pada guru Bimbingan konseling (BK) memberikan edukasi tentang cara mengatasi kenakalan remaja dengan meningkatkan kecerdasan emosional dengan cara mendorong siswa berfikir positif dan melatih cara berhubungan baik dengan orang lain.
Variation in Non-native Speech: How Far Do Non-native Speakers Replicate Target Constraints on Variation? A Novel Approach
Authors: Zarour Rania
Published: October 2024

This paper introduces a new framework to analyze how non-native speakers adhere to native-speaker norms of variation in contact settings. The author focuses on a well-established phonological variable in both native and contact-induced varieties of English: consonant cluster reduction. This process involves either dropping or maintaining a final coronal stop (t,d) in a consonant cluster in words such as "mind" and "west." The paper uses standard variationist methodologies to establish the constraints on consonant cluster reduction in a native-speaker group (Wellingtonian English) and a non-native speaker sample (Arab migrants to Wellington). The study then compares these constraints, identifying any changes introduced by non-native speakers. The results show that the non-native group is highly attuned to dialect-specific aspects of variation and demonstrates a deletion rate close to native speakers. Additionally, they exhibit a strong transfer of target articulatory constraints related to consonant cluster reduction and acquire the social cues associated with this variation. Interestingly, these patterns of variation in non-native speech are consistent across similar non-native groups, irrespective of first language, proficiency in English, and the complexity of the target constraints on variation.
A novel framework for elucidating the effect of mechanical loading on the geometry of ovariectomized mouse tibiae using principal component analysis
Authors: Moraiti Stamatina , Cheong Vee San , Dall’Ara Enrico , Kadirkamanathan Visakan , Bhattacharya Pinaki
Published: October 2024

Introduction

Murine models are used to test the effect of anti-osteoporosis treatments as they replicate some of the bone phenotypes observed in osteoporotic (OP) patients. The effect of disease and treatment is typically described as changes in bone geometry and microstructure over time. Conventional assessment of geometric changes relies on morphometric scalar parameters. However, being correlated with each other, these parameters do not describe separate fractions of variations and offer only a moderate insight into temporal changes.

Methods

The current study proposes a novel image-based framework that employs deformable image registration on in vivo longitudinal images of bones and Principal Component Analysis (PCA) for improved quantification of geometric effects of OP treatments. This PCA-based model and a novel post-processing of score changes provide orthogonal modes of shape variations temporally induced by a course of treatment (specifically in vivo mechanical loading).

Results and Discussion

Errors associated with the proposed framework are rigorously quantified and it is shown that the accuracy of deformable image registration in capturing the bone shapes (∼1 voxel = 10.4 μm) is of the same order of magnitude as the relevant state-of-the-art evaluation studies. Applying the framework to longitudinal image data from the midshaft section of ovariectomized mouse tibia, two mutually orthogonal mode shapes are reliably identified to be an effect of treatment. The mode shapes captured changes of the tibia geometry due to the treatment at the anterior crest (maximum of 0.103 mm) and across the tibia midshaft section and the posterior (0.030 mm) and medial (0.024 mm) aspects. These changes agree with those reported previously but are now described in a compact fashion, as a vector field of displacements on the bone surface. The proposed framework enables a more detailed investigation of the effect of disease and treatment on bones in preclinical studies and boosts the precision of such assessments.
Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods
Authors: Tang Nan , Liu Shuang , Li Kangming , Zhou Qiang , Dai Yanan , Sun Huamei , Zhang Qingdui , Hao Ji , Qi Chunmei
Published: October 2024

Introduction

Accurate in-hospital mortality prediction following percutaneous coronary intervention (PCI) is crucial for clinical decision-making. Machine Learning (ML) and Data Mining methods have shown promise in improving medical prognosis accuracy.

Methods

We analyzed a dataset of 4,677 patients from the Regional Vascular Center of Primorsky Regional Clinical Hospital No. 1 in Vladivostok, collected between 2015 and 2021. We utilized Extreme Gradient Boosting, Histogram Gradient Boosting, Light Gradient Boosting, and Stochastic Gradient Boosting for mortality risk prediction after primary PCI in patients with acute ST-elevation myocardial infarction. Model selection was performed using Monte Carlo Cross-validation. Feature selection was enhanced through Recursive Feature Elimination (RFE) and Shapley Additive Explanations (SHAP). We further developed hybrid models using Augmented Grey Wolf Optimizer (AGWO), Bald Eagle Search Optimization (BES), Golden Jackal Optimizer (GJO), and Puma Optimizer (PO), integrating features selected by these methods with the traditional GRACE score.

Results

The hybrid models demonstrated superior prediction accuracy. In scenario (1), utilizing GRACE scale features, the Light Gradient Boosting Machine (LGBM) and Extreme Gradient Boosting (XGB) models optimized with BES achieved Recall values of 0.944 and 0.954, respectively. In scenarios (2) and (3), employing SHAP and RFE-selected features, the LGB models attained Recall values of 0.963 and 0.977, while the XGB models achieved 0.978 and 0.99.

Discussion

The study indicates that ML models, particularly the XGB optimized with BES, can outperform the conventional GRACE score in predicting in-hospital mortality. The hybrid models' enhanced accuracy presents a significant step forward in risk assessment for patients post-PCI, offering a potential alternative to existing clinical tools. These findings underscore the potential of ML in optimizing patient care and outcomes in cardiovascular medicine.
Hepatopulmonary syndrome secondary to metabolic associated fatty liver disease in childhood — novel treatment with growth hormone replacement therapy: a case report and systematic review of literature
Authors: Choe Yunsoo , Lee Yun Jeong , Lee Young Ah , Ko Jae Sung , Shin Choong Ho
Published: October 2024

Objective

Hepatopulmonary syndrome (HPS) is a rare complication of metabolic associated fatty liver disease (MAFLD) occurring subsequent to hypopituitarism, often developing after resection of hypothalamic or pituitary tumors. The aim of this study is to report an illustrative case of an HPS patient who was successfully treated with growth hormone replacement therapy, without liver transplantation which is conventionally regarded as the only treatment option. Additionally, we conducted a comprehensive review of published case reports of HPS in the pediatric population.

Methods

We systematically searched literature databases to identify case reports and case series of HPS associated with hypopituitarism diagnosed in childhood. The search included MEDLINE/PubMed, Scopus, Embase, and Google Scholar from 1990 to 2023. The review process adhered to the PRISMA checklist for comprehensive reporting and methodological transparency.

Results

An 18-year-old female, who had been followed up for MAFLD after craniopharyngioma resection, presented with cyanosis and progressive dyspnea. She was diagnosed with severe degree of HPS. The patient began treatment with recombinant human growth hormone, leading to a significant improvement in respiratory symptoms within 3 months, and normalization of lung shunt ratio after 6 months of therapy. In our systematic review, nine patients from nine studies across six countries were identified. The median age at diagnosis of hypopituitarism was 10.5 years (range 1–16 years), and HPS was diagnosed at a median interval of 7 years later (range 0–26 years). Half of the patients had not received growth hormone therapy after being diagnosed with hypopituitarism, which subsequently led to the diagnosis of HPS. Three patients underwent liver transplantation, but non-alcoholic steatohepatitis recurred in all cases. Six patients were successfully treated with growth hormone replacement therapy without undergoing liver transplantation.

Conclusions

HPS can occur in pediatric patients with MAFLD who have undergone resection of the tumor in the hypothalamus or pituitary gland. Our findings suggest that growth hormone replacement therapy can be a possible alternative to liver transplantation for HPS patients. However, further investigations need to be performed to validate the efficacy of growth hormone treatment in different causes of HPS cases.
Effects of multiple stress events at different stages of life on the incidence of metabolic syndrome
Authors: Li Na , Gao Yuanyuan , Zhao Xiaochuan , Wang Lan , Wang Ran , Song Mei , Hu Peihua , Lu Wenting , Zhao Tianyu , Huang Fanfan , Liu Bufan , Ren Ruojia , Wang Xueyi
Published: October 2024

Objective

To investigate the effects of multiple stress events in different stages of life on the incidence of metabolic syndrome (MetS).

Methods

Miners from Tangshan, China, were recruited for this study. Workers of the Kailuan Mining Group were evaluated to investigate whether exposure to Tangshan earthquakes during the fetal period in 1976. Adult life events and childhood trauma were assessed separately via the Life Event Scale and Childhood Trauma Questionnaire. The subjects were physically examined and general demographic data such as waist circumference were collected. Blood samples were collected for measurement of metabolic parameters. Corticotropin releasing hormone(CRH) levels was measured by enzyme-linked immunosorbent assay (ELISA). The subjects were divided into four groups according to their exposure to traumatic events in different stages of life: no exposure group, 1-exposure group, 2-exposures group, and 3-exposures group. The incidence of MetS, metabolic parameters and CRH levels in each of the four groups was compared.

Results

In all, 626 people were enrolled; of these, 183, 262, 150, and 31 were in the no exposure, 1-exposure, 2-exposures, and 3-exposure groups, respectively. A remarkable variation in the incidence of MetS was observed among the four groups (x2 = 16.462, P<0.001). MetS incidence increased with the increasing number of traumatic events, except for in the no exposure group (17.9% in 1-exposure group, 24.7% in 2-exposure group, and 48.4% in the 3-exposure group). Multivariate logistic regression analysis showed that exposure to multiple stress during the fetal, childhood, and adult stages of life represent independent risk factors for developing MetS (OR=3.134, 95%CI=1.042–9.429). Smoking increased the risk of developing MetS (OR=1.809, 95%CI=1.140–2.871).

Conclusions

Exposure to multiple traumatic events in distinct life stages increases the risk of developing MetS. Smoking is a risk factor for developing MetS.
A bibliometric analysis of 100 years of research on Himalayan cedar: research trends, gaps, and future implications
Authors: Kumar Ashutosh , Pandey Aseesh
Published: October 2024

Himalayan Cedar (Cedrus deodara), a member of the family Pinaceae is well-known for its ecological, economic, and cultural significance. It is native to the Western Himalayan region and listed as Least Concern in the IUCN list of threatened species. In the present study, a bibliometric analysis of more than a hundred years of research on C. deodara is carried out. Total 616 documents published from 1916 to 2024 were retrieved from the Scopus database and analyzed using biblioshiny and VoS viewer. A comprehensive overview of publication trends, country-wise publications, bibliographic coupling, citation analysis, keyword analysis, and collaborative research networks are presented. The research findings revealed that publications have increased significantly in recent decades and primarily multidisciplinary. Forest ecology, pharmacology, phytochemistry, climate change, environmental science, and taxonomy were among the major thrust areas. However, recent studies are mostly focused on carbon stock, biomass, dendrochronology, and climate change. Out of the 362 publication sources, Bradford’s law identified six journals as core sources for publication. Lotka’ law revealed that only 8% of authors have published more than two documents on C. deodara. The present study provides a comprehensive evaluation and visualization of C. deodara based bibliometric research carried out during the past 100 years. Further, the study provides collective information and a research framework for scholars, the general public, and decision-makers by identifying research gaps and future research areas.
Prognostic role of serum cytokines level in non-small cell lung cancer patients with anti-PD-1 and chemotherapy combined treatment
Authors: Liu Hongyu , Zhou Chao , Jiang Haohua , Chu Tianqing , Zhong Runbo , Zhang Xueyan , Shen Yinchen , Han Baohui
Published: October 2024

Background

Chemotherapy combined with PD-1 inhibitor treatment has revolutionized the standard of care for patients with NSCLC. However, the benefit is not universal, highlighting the need for precise prediction factors. Given their relationship with the immune system and non-invasive nature, serum cytokines are potential candidates for predicting the clinical effects of chemoimmunotherapy. Our study aims to evaluate the association of serum cytokines with the prognosis of patients with NSCLC treated with chemoimmunotherapy.

Methods

Levels of 10 serum cytokines were detected in 60 NSCLC patients receiving chemotherapy plus PD-1 inhibitor-based treatment. Of these, dynamic samples from 19 patients were collected at baseline and after two treatment cycles. Their association with patients’ clinicopathological characteristics, PFS and OS was described and investigated using survival analysis, cox regression and time-dependent ROC analysis. Preliminary evaluation of changes in cytokine levels associated with treatment response was conducted.

Results

Patients with lower baseline levels of serum IL-6, IL-5, IL-8, TNF-α and IL-10 had longer PFS, while patients with higher levels of IL-4 had longer PFS. Patients with lower levels of serum IL-6, IL-8, IL-22, TNF-α and IL-10 had longer OS, while patients with higher levels of IL-4 had longer OS. Multivariate analysis suggested that higher IL-6 and IL-5 levels were associated with poorer PFS, and higher IL-6 levels were associated with dismal OS. Additionally, changes in serum cytokine levels could be associated with treatment response.

Conclusion

Our study suggests that serum cytokines, specifically IL-6, IL-5, IL-8, TNF-α, IL-10, and IL-4, are potential prognostic factors for patients with NSCLC receiving chemotherapy plus PD-1 inhibitor treatment.
Gut microbiota: a crucial player in the combat against tuberculosis
Authors: Lin Jie , Chen Dongli , Yan Yongen , Pi Jiang , Xu Junfa , Chen Lingming , Zheng Biying
Published: October 2024

The mammalian gastrointestinal tract quickly becomes densely populated with foreign microorganisms shortly after birth, thereby establishing a lifelong presence of a microbial community. These commensal gut microbiota serve various functions, such as providing nutrients, processing ingested compounds, maintaining gut homeostasis, and shaping the intestinal structure in the host. Dysbiosis, which is characterized by an imbalance in the microbial community, is closely linked to numerous human ailments and has recently emerged as a key factor in health prognosis. Tuberculosis (TB), a highly contagious and potentially fatal disease, presents a pressing need for improved methods of prevention, diagnosis, and treatment strategies. Thus, we aim to explore the latest developments on how the host’s immune defenses, inflammatory responses, metabolic pathways, and nutritional status collectively impact the host’s susceptibility to or resilience against Mycobacterium tuberculosis infection. The review addresses how the fluctuations in the gut microbiota not only affect the equilibrium of these physiological processes but also indirectly influence the host’s capacity to resist M. tuberculosis. This work highlights the central role of the gut microbiota in the host–microbe interactions and provides novel insights for the advancement of preventative and therapeutic approaches against tuberculosis.
Protective effect of gut microbiota restored by fecal microbiota transplantation in a sepsis model in juvenile mice
Authors: Han Young Joo , Kim SungSu , Shin Haksup , Kim Hyun Woo , Park June Dong
Published: October 2024

Introduction

Restoring a balanced, healthy gut microbiota through fecal microbiota transplantation (FMT) has the potential to be a treatment option for sepsis, despite the current lack of evidence. This study aimed to investigate the effect of FMT on sepsis in relation to the gut microbiota through a sepsis model in juvenile mice.

Methods

Three-week-old male mice were divided into three groups: the antibiotic treatment (ABX), ABX-FMT, and control groups. The ABX and ABX-FMT groups received antibiotics for seven days. FMT was performed through oral gavage in the ABX-FMT group over the subsequent seven days. On day 14, all mice underwent cecal ligation and puncture (CLP) to induce abdominal sepsis. Blood cytokine levels and the composition of fecal microbiota were analyzed, and survival was monitored for seven days post-CLP.

Results

Initially, the fecal microbiota was predominantly composed of the phyla Bacteroidetes and Firmicutes. After antibiotic intake, an extreme predominance of the class Bacilli emerged. FMT successfully restored antibiotic-induced fecal dysbiosis. After CLP, the phylum Bacteroidetes became extremely dominant in the ABX-FMT and control groups. Alpha diversity of the microbiota decreased after antibiotic intake, was restored after FMT, and decreased again following CLP. In the ABX group, the concentrations of interleukin-1β (IL-1β), IL-2, IL-6, IL-10, granulocyte macrophage colony-stimulating factor, tumor necrosis factor-α, and C-X-C motif chemokine ligand 1 increased more rapidly and to a higher degree compared to other groups. The survival rate in the ABX group was significantly lower (20.0%) compared to other groups (85.7%).

Conclusion

FMT-induced microbiota restoration demonstrated a protective effect against sepsis. This study uniquely validates the effectiveness of FMT in a juvenile mouse sepsis model, offering potential implications for clinical research in critically ill children.
Elevation of serum neurofilament light-chain levels disclose possible occult progressive multifocal leukoencephalopathy and immune reconstitution syndrome in a patient receiving ozanimod: a case report
Authors: Quintanilla-Bordás Carlos , Gorriz David , Cubas-Núñez Laura , Castillo-Villalba Jéssica , Carreres-Polo Joan , Casanova Bonaventura , Pérez-Miralles Francisco Carlos
Published: October 2024

Background

We report the first case of findings suggestive of progressive multifocal leukoencephalopathy and immune restitution syndrome (PML-IRIS) in a patient with multiple sclerosis receiving ozanimod preceded by an unexpected increase in the serum neurofilament light-chain (sNfL) levels.

Case report

A 57-year-old-woman treated with ozanimod for the last 8 years presented, during surveillance MRI, with findings compatible with PML-IRIS. Overt clinical symptoms were absent. sNfL levels increased 4 months earlier and peaked at presentation. Lymphocyte count reached nadir of 330/mL at 8 months earlier.

Conclusion

The case illustrates the utility of sNfL levels for PML surveillance in patients receiving immunosuppressors.
Immunomodulation of human T cells by microbubble-mediated focused ultrasound
Authors: Baez Ana , Singh Davindra , He Stephanie , Hajiaghayi Mehri , Gholizadeh Fatemeh , Darlington Peter J. , Helfield Brandon
Published: October 2024

While met with initial and ground-breaking success targeting blood borne cancers, cellular immunotherapy remains significantly hindered in the context of solid tumors by the tumor microenvironment. Focused ultrasound, in conjunction with microbubbles, has found tremendous potential as a targeted and local drug/gene delivery technique for cancer therapy. The specific immunomodulating effects of this technique on immune cells, including T-cells, remain unexplored. Here, with freshly isolated human immune cells, we examine how focused ultrasound can viably modulate immune cell membrane permeability and influence the secretion of over 90 cytokines, chemokines and other analytes relevant to a potent immune response against cancer. We determine that microbubble-mediated focused ultrasound modulates the immune cell secretome in a time-dependent manner – ranging in ~0.1-3.6-fold changes in the concentration of a given cytokine compared to sham controls over 48 hours post-treatment (e.g. IL-1β, TNF-α, CX3CL1, CCL21). Further, we determine the general trend of a negative correlation between secreted cytokine concentration and viable ultrasound-assisted membrane permeability with negligible loss of cell viability. Taken together, the data presented here highlights the potential of microbubble-mediated focused ultrasound to viably enhance T-cell permeability and modulate key pro-immune pathways, offering a novel approach to augment targeted cellular therapies for solid tumors.
Case report: A comprehensive report on the first confirmed Mpox case in the Philippines during the 2022 Mpox global outbreak: from clinical presentation to shotgun metagenomic sequencing analysis
Authors: Ylaya Edward Matthew , Grande Phoebe Grace , Dancel Lei Lanna , Nicolasora Amalea Dulcene , Polotan Francisco Gerardo , Pantoni Roslind Anne , Melo Ezekiel , Ortia Stephen Paul , Manalo Joanna Ina , Abulencia Miguel Francisco , Chu Maria Yna Joyce , Dizon Timothy John , Bucoy-Sy Ma Carmela , Adasa Gisella , Gianan-Gascon Aileen , Roman Arthur Dessi
Published: October 2024

We report a case of a 31-year-old Filipino male with travel history to several European countries in July 2022. He developed five non-tender, well-defined, umbilicated pustules with erythematous borders on the upper lip, left gluteal area, bilateral knees, and left ankle. Skin punch biopsy findings were suggestive of a viral infection. Mpox infection from Clade II (previously known as the West African clade) was confirmed by detecting and amplifying the G2R_G, G2R_WA and C3L gene targets using qPCR. Shotgun metagenomic sequencing subsequently identified a Mpox genome sequence belonging to B.1.3 lineage of Clade IIb, associated with the current multi-country outbreak. Serologic varicella IgM test was positive but varicella PCR of the skin lesion and metagenomic sequencing did not indicate the presence of the varicella virus. The patient was discharged and continued isolation at home until all scabs had completely fallen off. The presence of pustules among patients with risk factors such as possible close physical contact with infected individuals in areas with reported cases of Mpox should raise suspicion for such an infection. Establishment and optimization of qPCR protocol were necessary to confirm Mpox infection. Metagenomic sequencing successfully characterized the etiologic agent of the first laboratory-confirmed Mpox case in the Philippines belonging to Clade IIb which is mainly responsible for the 2022 Mpox global outbreak.
Case report: First report of Legionella pneumophila and Bordetella bronchiseptica coinfection in an immunocompromised patient
Authors: La Sorda Marilena , Palucci Ivana , Natalini Daniele , Fillo Silvia , Giordani Francesco , Paglione Francesco , Monte Anella , Lista Florigio , Mancini Fabiola , Girolamo Antonietta , Rota Maria Cristina , Caporali Maria Grazia , Ricci Rosalba , Ginevra Christophe , Jarraud Sophie , Sanguinetti Maurizio , Scaturro Maria , Ricci Maria Luisa
Published: October 2024

Legionnaires' disease (LD) is a serious type of pneumonia, typically contracted by susceptible people through the inhalation of aerosols contaminated with Legionella pneumophila (Lp). In this report, the first case of coinfection with Lp–Bordetella bronchiseptica (Bb) is described. A possible source of the Lp infection may be the hotel in Paris (France) where the patient had stayed before developing the symptoms. The Bb infection may have been transmitted by the dog with which he had constant contact, although this has not been proven.
Discovering a novel glycosyltransferase gene CmUGT1 enhances main metabolites production of Cordyceps militaris
Authors: He Rong-an , Huang Chen , Zheng Chun-hui , Wang Jing , Yuan Si-Wen , Chen Bai-Xiong , Feng Kun
Published: October 2024

Cordyceps militaris is a filamentous fungus used for both medicinal and culinary purposes. It exhibits a wide range of pharmacological activities due to its valuable contents of cordycepin, polysaccharides, carotenoids, terpenoids and other metabolites. However, C. militaris strains are highly susceptible to irreversible degradation in agricultural production, which is often manifested as a prolonged color change period and a significant decrease in the production of secondary metabolites. UDP-glycosyltransferases are an important enzyme family that participates in the synthesis of terpenoids by performing the glycosylation of key residues of enzymes or molecules. However, few studies have focused on its effect on the regulation of metabolite production in C. militaris. Therefore, in this study, we performed transcriptome analysis across four different developmental stages of C. militaris to target the putative glycosyltransferase gene CmUGT1, which plays important roles in metabolite production. We further constructed and screened a CmUGT1-overexpressing strain by Agrobacterium tumefaciens-mediated infestation of C. militaris spores. The major metabolite production of the wild-type and CmUGT1-overexpressing C. militaris strains was determined after short-term shake-flask cultivation of mycelia. The results showed that the yields of carotenoids and polysaccharides in the mycelia of the CmUGT1-overexpressing strains were 3.8 and 3.4 times greater than those in the mycelia of the wild type, respectively (p < 0.01). The levels of intracellular and extracellular cordycepin produced by the overexpression strain were 4.4 and 8.0 times greater than those produced by the wild-type strain (p < 0.01). This suggests that the overexpression of CmUGT1 in C. militaris enhances the synthesis activities of the main enzymes related to metabolite production, which provides a guide for obtaining excellent recombinant strains of C. militaris.
Transcription factor 4 expression in the developing non-human primate brain: a comparative analysis with the mouse brain
Authors: Burette Alain C. , Vihma Hanna , Smith Audrey L. , Ozarkar Siddhi S. , Bennett Jeff , Amaral David G. , Philpot Benjamin D.
Published: October 2024

Transcription factor 4 (TCF4) has been implicated in a range of neuropsychiatric disorders, including major depressive disorder, bipolar disorder, and schizophrenia. Mutations or deletions in TCF4 cause Pitt-Hopkins syndrome (PTHS), a rare neurodevelopmental disorder. A detailed understanding of its spatial expression across the developing brain is necessary for comprehending TCF4 biology and, by extension, to develop effective treatments for TCF4-associated disorders. However, most current knowledge is derived from mouse models, which are invaluable for preclinical studies but may not fully capture the complexities of human neuropsychiatric phenotypes. This study compared TCF4 expression in the developing mouse brain to its regional and cellular expression patterns in normal prenatal, neonatal, and young adult rhesus macaque brains, a species more relevant to human neurodevelopment. While the general developmental expression of TCF4 is largely conserved between macaques and mice, we saw several interspecies differences. Most notably, a distinct layered pattern of TCF4 expression was clear in the developing macaque neocortex but largely absent in the mouse brain. High TCF4 expression was seen in the inner dentate gyrus of adult mice but not in macaques. Conversely, TCF4 expression was higher in the adult macaque striatum compared to the mouse striatum. Further research is needed to show the significance of these interspecies differences. Still, they underscore the importance of integrating rodent and primate studies to comprehensively understand TCF4 function and its implications for human disorders. Moreover, the primate-specific expression patterns of TCF4 will inform genetic and other therapeutic strategies to treat TCF4-associated disorders.
Perceptual super-resolution in multiple sclerosis MRI
Authors: Giraldo Diana L. , Khan Hamza , Pineda Gustavo , Liang Zhihua , Lozano-Castillo Alfonso , Van Wijmeersch Bart , Woodruff Henry C. , Lambin Philippe , Romero Eduardo , Peeters Liesbet M. , Sijbers Jan
Published: October 2024

Introduction

Magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of multiple sclerosis (MS) as it is used to assess lesions in the brain and spinal cord. However, in real-world clinical settings, MRI scans are often acquired with thick slices, limiting their utility for automated quantitative analyses. This work presents a single-image super-resolution (SR) reconstruction framework that leverages SR convolutional neural networks (CNN) to enhance the through-plane resolution of structural MRI in people with MS (PwMS).

Methods

Our strategy involves the supervised fine-tuning of CNN architectures, guided by a content loss function that promotes perceptual quality, as well as reconstruction accuracy, to recover high-level image features.

Results

Extensive evaluation with MRI data of PwMS shows that our SR strategy leads to more accurate MRI reconstructions than competing methods. Furthermore, it improves lesion segmentation on low-resolution MRI, approaching the performance achievable with high-resolution images.

Discussion

Results demonstrate the potential of our SR framework to facilitate the use of low-resolution retrospective MRI from real-world clinical settings to investigate quantitative image-based biomarkers of MS.
Artificial intelligence-assisted delineation for postoperative radiotherapy in patients with lung cancer: a prospective, multi-center, cohort study
Authors: Han Ziming , Wang Yu , Wang Wenqing , Zhang Tao , Wang Jianyang , Ma Xiangyu , Men Kuo , Shi Anhui , Gao Yuyan , Bi Nan
Published: October 2024

Background

Postoperative radiotherapy (PORT) is an important treatment for lung cancer patients with poor prognostic features, but accurate delineation of the clinical target volume (CTV) and organs at risk (OARs) is challenging and time-consuming. Recently, deep learning-based artificial intelligent (AI) algorithms have shown promise in automating this process.

Objective

To evaluate the clinical utility of a deep learning-based auto-segmentation model for AI-assisted delineating CTV and OARs in patients undergoing PORT, and to compare its accuracy and efficiency with manual delineation by radiation oncology residents from different levels of medical institutions.

Methods

We previously developed an AI auto-segmentation model in 664 patients and validated its contouring performance in 149 patients. In this multi-center, validation trial, we prospectively involved 55 patients and compared the accuracy and efficiency of 3 contouring methods: (i) unmodified AI auto-segmentation, (ii) fully manual delineation by junior radiation oncology residents from different medical centers, and (iii) manual modifications based on AI segmentation model (AI-assisted delineation). The ground truth of CTV and OARs was delineated by 3 senior radiation oncologists. Contouring accuracy was evaluated by Dice similarity coefficient (DSC), Hausdorff distance (HD), and mean distance of agreement (MDA). Inter-observer consistency was assessed by volume and coefficient of variation (CV).

Results

AI-assisted delineation achieved significantly higher accuracy compared to unmodified AI auto-contouring and fully manual delineation by radiation oncologists, with median HD, MDA, and DCS values of 20.03 vs. 21.55 mm, 2.57 vs. 3.06 mm, 0.745 vs. 0.703 (all P<0.05) for CTV, respectively. The results of OARs contours were similar. CV for OARs was reduced by approximately 50%. In addition to better contouring accuracy, the AI-assisted delineation significantly decreased the consuming time and improved the efficiency.

Conclusion

AI-assisted CTV and OARs delineation for PORT significantly improves the accuracy and efficiency in the real-world setting, compared with pure AI auto-segmentation or fully manual delineation by junior oncologists. AI-assisted approach has promising clinical potential to enhance the quality of radiotherapy planning and further improve treatment outcomes of patients with lung cancer.
Clinical characteristics and treatment management of combined large cell neuroendocrine carcinoma, a subtype of large cell neuroendocrine carcinoma
Authors: Kang Kai , Li Binfeng , Wang Sheng , Wang Jianjian , Liang Xinjun
Published: October 2024

Combined large cell neuroendocrine carcinoma (CLCNEC) is a rare neuroendocrine carcinoma, accounting for approximately 10% of large cell neuroendocrine carcinoma (LCNEC). Mainly composed of coexisting adenocarcinoma components, with strong invasiveness and poor prognosis. The treatment regimen for CLCNEC mainly refers to complete surgical resection as the first choice in the early stage, while patients with stage II or higher require adjuvant treatment. At present, research on CLCNEC is mostly small sample and retrospective, and there is no consensus on whether molecular typing and treatment should be carried out. There is considerable controversy over whether it should be managed as small-cell lung cancer (SCLC) or non-small-cell lung cancer (NSCLC). Therefore, in order to solve the problem of confusion in the selection of treatment regimens for CLCNEC, while also considering the therapeutic effects, this article summarizes and analyzes previous studies, fully seeks evidence, and boldly proposes new therapeutic insights: the etoposide-platinum (EP) regimen serves as the basis for adjuvant therapy; In addition, SCLC/NSCLC-CLCNEC can be distinguished based on presence of RB1 and TP53 co-mutation, and targeted therapy or NSCLC type chemotherapy including platinum + gemcitabine or taxanes (NSCLC-GEM/TAX) can be used in combination or sequentially for NSCLC-CLCNEC.
Effects of cannabidiol on AMPKα2 /HIF-1α/BNIP3/NIX signaling pathway in skeletal muscle injury
Authors: Hou Zhiquan , Wang Zhifang , Zhang Jun , Liu Yunen , Luo Zhonghua
Published: October 2024

Cannabidiol: (CBD) is a non-psychoactive natural active ingredient from cannabis plant, which has many pharmacological effects, including neuroprotection, antiemetic, anti-inflammatory and anti-skeletal muscle injury. However, the mechanism of its effect on skeletal muscle injury still needs further research. In order to seek a scientifically effective way to combat skeletal muscle injury during exercise, we used healthy SD rats to establish an exercise-induced skeletal muscle injury model by treadmill training, and systematically investigated the effects and mechanisms of CBD, a natural compound in the traditional Chinese medicine Cannabis sativa L., on combating skeletal muscle injury during exercise. CBD effectively improved the fracture of skeletal muscle tissue and reduced the degree of inflammatory cell infiltration. Biochemical indexes such as CK, T, Cor, LDH, SOD, MDA, and GSH-Px in serum of rats returned to normal. Combining transcriptome and network analysis results, CBD may play a protective role in exercise-induced skeletal muscle injury through HIF-1 signaling pathway. The experimental results implied that CBD could down-regulate the expression of IL-6, NF-κB, TNF-α, Keap1, AMPKα2, HIF-1α, BNIP3 and NIX, and raised the protein expression of IL-10, Nrf2 and HO-1. These results indicate that the protective effect of CBD on exercise-induced skeletal muscle injury may be related to the inhibition of oxidative stress and inflammation, thus inhibiting skeletal muscle injury through AMPKα2/HIF-1α/BNIP3/NIX signal pathways.
DNA damage caused by chemotherapy has duality, and traditional Chinese medicine may be a better choice to reduce its toxicity
Authors: Bai Bufan , Ma Yingrui , Liu Deng , Zhang Yifei , Zhang Weihong , Shi Rong , Zhou Qianmei
Published: October 2024

Background

DNA damage induced by chemotherapy has duality. It affects the efficacy of chemotherapy and constrains its application. An increasing number of studies have shown that traditional Chinese medicine (TCM) is highly effective in reducing side-effects induced by chemotherapy due to its natural, non-toxic and many sourced from food. Recent advancements have demonstrated survival rates are improved attributable to effective chemotherapy. DNA damage is the principal mechanism underlying chemotherapy. However, not all instances of DNA damage are beneficial. Chemotherapy induces DNA damage in normal cells, leading to side effects. It affects the efficacy of chemotherapy and constrains its application.

Objectives

This review aims to summarize the dual nature of DNA damage induced by chemotherapy and explore how TCM can mitigate chemotherapy-induced side effects.

Results

The review summarized the latest research progress in DNA damage caused by chemotherapy and the effect of alleviating side effects by TCM. It focused on advantages and disadvantages of chemotherapy, the mechanism of drugs and providing insights for rational and effective clinical treatment and serving as a basis for experiment. In this review, we described the mechanisms of DNA damage, associated chemotherapeutics, and their toxicity. Furthermore, we explored Chinese herb that can alleviate chemotherapy-induced side-effects.

Conclusion

We highlight key mechanisms of DNA damage caused by chemotherapeutics and discuss specific TCM herbs that have shown potential in reducing these side effects. It can provide reference for clinical and basic research.
Differential rotation in neutron stars at finite temperatures
Authors: Farrell Delaney , Weber Fridolin , Negreiros Rodrigo
Published: October 2024

Introduction

This paper investigates the impact of differential rotation on the bulk properties and onset of rotational instabilities in neutron stars at finite temperatures up to 50 MeV.

Methods

Utilizing the relativistic Brueckner-Hartree-Fock (RBHF) formalism in full Dirac space, the study constructs equation of state (EOS) models for hot neutron star matter, including conditions relevant for high temperatures. These finite-temperature EOS models are applied to compute the bulk properties of differentially rotating neutron stars with varying structural deformations.

Results

The findings demonstrate that the stability of these stars against bar-mode deformation, a key rotational instability, is only weakly dependent on temperature. Differential rotation significantly affects the maximum mass and radius of neutron stars, and the threshold for the onset of bar-mode instability shows minimal sensitivity to temperature changes within the examined range.

Discussion

These findings are crucial for interpreting observational data from neutron star mergers and other high-energy astrophysical events. The research underscores the necessity of incorporating differential rotation and finite temperature effects in neutron star models to predict their properties and stability accurately.
Pseudomodes of Schrödinger operators
Authors: Krejčiřík David , Siegl Petr
Published: October 2024

Pseudomodes of non-self-adjoint Schrödinger operators corresponding to large pseudoeigenvalues are constructed. The approach is non-semiclassical and extendable to other types of models including the damped wave equation and Dirac operators.
Validation of QTLs associated with corn borer resistance and grain yield: implications in maize breeding
Authors: López-Malvar Ana , Reséndiz-Ramirez Zoila , Butrón Ana , Jiménez-Galindo Jose Cruz , Revilla Pedro , Malvar Rosa Ana
Published: October 2024

Introduction

Validations of previously detected quantitative trait loci (QTLs) to assess their reliability are crucial before implementing breeding programs. The objective of this study was to determine the reliability and practical usefulness of previously reported QTLs for resistance to stem tunneling by the Mediterranean stem borer (MSB) and yield. These authors used approximately 600 recombinant inbred lines (RILs) from a multiparent advanced generation intercross (MAGIC) population to map QTL using a genome-wide association study (GWAS) approach.

Methods

We identified RILs situated at the extremes of resistance and yield distributions within the whole MAGIC, and those QTLs were evaluated per se and crossed to a tester (A638) using lattice designs. In each set, a significant single-nucleotide polymorphism (SNP) was considered validated if (1) the same SNP was associated with the trait with a p-value < 0.02, or (2) within a ±2-Mbp interval, an SNP associated with the trait exhibited a p-value < 0.02 and demonstrated linkage disequilibrium (r2 > 0.2) with the SNPs previously reported.

Results and discussion

The novel QTL validation approach was implemented using improved experimental designs that led to higher heritability estimates for both traits compared to those estimated with the whole MAGIC population. The procedure used allowed us to jointly validate several QTL and to ascertain their possible contribution to hybrid improvement. Specifically, nearly three-quarters of the QTLs for tunnel length were confirmed. Notably, QTLs located in the genomic region 6.05–6.07 were consistently validated across different sets and have been previously linked to resistance against stalk tunneling in various mapping populations. For grain yield, approximately 10 out of 16 QTLs were validated. The validation rate for yield was lower than for tunnel length, likely due to the influence of dominance and/or epistatic effects. Overall, 9 out of 21 QTLs for tunnel length and 6 out of 17 QTLs for grain yield identified in our previous research were validated across both validation sets, indicating a moderate genetic correlation between per se and testcross performance of inbred lines. These findings offer insights into the reliability of QTL and genomic predictions, both derived from assessments conducted on the entire MAGIC population. Genomic predictions for tunnel length based on inbred line evaluations could be useful to develop more resistant hybrids; meanwhile, genomic prediction for yield could only be valid in a homozygous background.
Mitochondrial genome insights into the spatio-temporal distribution and genetic diversity of Dendrobium hancockii Rolfe (Orchidaceae)
Authors: Hou Zhenyu , Wang Mengting , Jiang Yu , Xue Qingyun , Liu Wei , Niu Zhitao , Ding Xiaoyu
Published: October 2024

Introduction

With its distinctive evolutionary rate and inheritance patterns separate from the nuclear genome, mitochondrial genome analysis has become a prominent focus of current research. Dendrobium hancockii Rolfe, a species of orchid with both medicinal and horticultural value, will benefit from the application of the fully assembled and annotated mitochondrial genome. This will aid in elucidating its phylogenetic relationships, comparative genomics, and population genetic diversity.

Methods

Based on sequencing results from Illumina combined with PacBio and Nanopore, the mitochondrial genome map of D. hancockii was constructed. Comparative analysis was conducted from the perspectives of phylogeny across multiple species, selection pressure on protein-coding genes, and homologous segments. The population diversity of D. hancockii was analyzed using single nucleotide polymorphism (SNP) data from the mitochondrial genome and single-copy nuclear genes.

Results and discussion

This research constructed a circular mitochondrial map for D. hancockii, spanning 523,952 bp, containing 40 unique protein-coding genes, 37 transfer RNA genes, and 4 ribosomal RNA genes. Comparative analysis of mitochondrial genes from 26 land plants revealed a conserved gene cluster, "rpl16-ccmFn-rps3-rps19," particularly within the Dendrobium genus. The mitochondrial genome of D. hancockii exhibits a lower point mutation rate but significant structural variation. Analysis of 103 resequencing samples identified 19,101 SNP sites, dividing D. hancockii into two major groups with limited gene flow between them, as supported by population diversity, genetic structure analysis, principal component analysis, and phylogenetic trees. The geographical distribution and genetic differentiation of D. hancockii into two major groups suggest a clear phytogeographical division, likely driven by ancient geological or climatic events. The close alignment of mitochondrial data with nuclear gene data highlights the potential of the mitochondrial genome for future studies on genetic evolution in this species.
The psychological mechanisms of the better-than-average effect in the moral and competence domains under self-enhancement and self-protection motives among young Japanese adults
Authors: Ding Yi , Sugiura Motoaki
Published: October 2024

The better-than-average effect (BTAE) refers to the phenomenon where individuals perceive themselves as better than the average person. This effect has been independently examined in terms of social perception dimension and motivation. Additionally, no psychobehavioral traits have been found to be associated with the BTAE in the moral domain. However, the interactive effects of social perception dimension and motivation on the BTAE remain unclear, and its association with a broad range of psychobehavioral traits has not been extensively validated. In this study, we assess self-and average other-evaluations across four domains, based on two social perception dimensions and two motivations, to investigate their interactive effects on the BTAE (n = 678). We measured seven sets of psychobehavioral characteristics to examine their association with the BTAE, as well as self-and other-evaluations. Results indicated that the BTAE occurred only under negative moral conditions, while the worse-than-others effect was observed under two competence conditions. Furthermore, the BTAE was associated with only a few psychobehavioral characteristics in the moral domains, compared to many in the competence domains. Notably, both self-and other-evaluations were correlated with many trust-relevant characteristics in the moral domains. These findings suggest that sociocultural dynamics may influence the BTAE differently across various domains.