bluuebunny/crossref_metadata_2025 huggingface dataset:
Hydrochemical characterization and sustainability assessment of Ismailia canal water, Eastern Nile Delta, Egypt: implications for human health and environmental safety
Authors: El-Said Salem Zenhom , Attiah Abdullah Muhammad , Abu-Alam Tamer
Published: November 2024

Surface freshwater systems globally face severe stresses due to overpopulation and associated waste. The Ismailia Canal, a crucial freshwater source in the eastern Nile Delta, Egypt, serves multiple purposes and is endangered by various environmental activities. This study characterizes the canal’s water using physicochemical parameters to evaluate its suitability for different uses. Water samples were collected twice in winter and summer seasons of the year 2018 from eight sites distributed along the course of Ismailia Canal. A comprehensive chemical analysis of the samples was carried out. Water chemistry was graphically and statistically assessed. Water qualities were evaluated using WHO guidelines, water quality index (WQI), Pollution indices of metals (PIm) and long- and short-term effect of trace elements on irrigation. Results show that the water is slightly alkaline and moderately hard, with higher salinity in winter than summer. Major cations and anions are higher in winter, whereas NO₃ is higher in summer. The canal water is primarily of the Ca(Mg)-HCO₃ type, influenced mainly by rock-water interactions. While most physicochemical parameters meet drinking water standards, Al, Sb, As, Cd, Fe, Pb, and Tl exceed limits, with significant impacts from Al and Tl year-round, and seasonal impacts from As, Pb, Cd, and Fe. For irrigation, water quality is generally unaffected in winter, but Mo and Se have slight impacts in summer for long-term use. This research is vital for informing sustainable water management practices, which are crucial for Egypt’s research initiatives, economic stability, and environmental sustainability.
Causal impact of gut microbiota on five liver diseases: insights from mendelian randomization and single-cell RNA sequencing
Authors: Li Na , Chen Xuanyi , Xiong Shuai , Cheng Yuxin , Deng Jiali , Zhang Junli , Yu Fei , Hao Liyuan , Li Shenghao , Hu Xiaoyu
Published: November 2024

Background

Liver disease is among the top ten causes of death globally. With studies suggesting a link between gut microbiota (GM) and liver disease.

Method

We selected summary statistics data from the largest available whole-genome association study (n = 13,266) of GM by the MiBioGen consortium as the exposure, and obtained liver disease-related data from IEU Open GWAS and The NHGRI-EBI GWAS Catalog. A two-sample Mendelian Randomization (MR) analysis employing various methods, to establish the causal relationship between GM and five liver diseases. Meanwhile, single-cell RNA sequencing data were used to examine Prevotella-related genes expression under healthy and disease liver.

Results

The IVW analysis indicate a causal relationship between GM and liver diseases, with Prevotella exhibiting a protective effect in all five liver diseases: Alcoholic liver disease (OR:0.81,95% confidence interval:0.66-1.00,PIVW = 0.0494); Cirrhosis (OR: 0.85,95% confidence interval: 0.73-0.99,PIVW = 0.0397); Hepatic failure, not elsewhere classified (OR:0.60,95% confidence interval:0.37-0.95,PIVW = 0.0305); Benign neoplasm:Liver (OR:0.39,95% confidence interval:0.2-0.75,PIVW = 0.0046); Malignant neoplasm of liver, primary (OR:0.41, 95% confidence interval:0.18-0.93,PIVW = 0.0334). The single-cell results suggest differential expression of Prevotella-related genes between liver disease patients and healthy individuals.

Conclusion

Our MR results show a causal relationship between the GM and liver disease. Prevotella displays a notable protective effect. This finding may enhance the precision of GM-based therapies and offer new insights for clinical research.
Attraction policies for digital nomads: some emerging issues
Authors: Serpa Sandro , Sá Maria José , Lalanda Gonçalves Rolando
Published: November 2024

The digital nomad phenomenon takes on a growing relevance in a digitalized society. This position paper aims to contribute to the analysis of the phenomenon of attraction policies for digital nomads, in its advantages, limitations and motivations, so as to justify a political and social intervention that is intended to be rigorously based.
Periodontal ligament tissues support neutrophil differentiation and maturation processes
Authors: Villagómez-Olea Guillermo , Uribe-Querol Eileen , Marichi-Rodríguez Francisco Javier , Meléndez-Zajgla Jorge , Alvaréz-Pérez Marco Antonio , Rosales Carlos
Published: November 2024

Introduction

Periodontal ligament is the soft connective tissue joining the roots of teeth with alveolar bone. The periodontal ligament presents significant cellular heterogeneity, including fibroblasts, endothelial cells, cementoblasts, osteoblasts, osteoclasts, and immune cells such as macrophages and neutrophils. These cells have crucial roles for periodontium homeostasis and function. However, certain cell types, such as neutrophils, remain poorly characterized in this tissue, despite their natural abundance and relevance in processes and diseases affecting the periodontal ligament.

Methods

In order to characterize neutrophils present in periodontal ligament, and get some insight into their functions, single-cell RNA sequencing data from published reports was analyzed to integrate and create a comprehensive map of neutrophil heterogeneity within the murine periodontal ligament under steady-state conditions.

Results

Four distinct neutrophil populations were identified based on their unique transcriptional signatures. Comparison and trajectory analysis revealed that these populations represent discrete stages of neutrophils undergoing maturation. These neutrophil populations were also classified, based on their granule content-associated signatures, as azurophil, specific, a transitional stage between specific and gelatinase (specific/gelatinase), and gelatinase. This reflects the sequential order of granule formation during neutrophil development (granulopoiesis) in the bone marrow.

Discussion

Together, our findings indicate that the periodontal ligament may serve as a microenvironment where the ordered and sequential maturation of neutrophils takes place. This suggests that similarly to other niches, the murine periodontal ligament can support, to some extent, hematopoietic processes such as granulopoiesis.
Heterogeneity of nitrogen fixation in the mesopelagic zone of the South China Sea
Authors: Wu Siqi , Wan Xianhui Sean , Du Moge , Chen Xirong , Selden Corday R. , Benavides Mar , Bonnet Sophie , Löscher Carolin R. , Hamersley M. Robert , Mulholland Margaret R. , Yan Xiuli , Kao Shuh-Ji
Published: November 2024

Biological dinitrogen (N2) fixation, the energetically expensive conversion of N2 gas to ammonia, plays an essential role in balancing the nitrogen budget in the ocean. Accumulating studies show detectable N2 fixation rates below the euphotic zone in various marine systems, revealing new insights of marine N2 fixation. However, the reported rates are highly variable and frequently fall close to detection limits, raising the question of the ubiquity and significance of N2 fixation in the global dark ocean. Using highly sensitive isotopic labeling incubation including a set of control incubations, we confirm the occurrence of mesopelagic N2 fixation in the South China Sea. Interestingly, we consistently observed that ca. 30% of samples show a significant elevation of 15N in the particulate nitrogen after incubation at most depths (200 - 1000 m). Although this approach does not allow accurate quantification of N2 fixation rates, our data suggest the occurrence of dark N2 fixation yet with highly heterogeneous signals in the mesopelagic zone of the South China Sea. A data compilation of reported N2 fixation in the global dark ocean further reveals that such heterogeneity has also been observed elsewhere, unveiling the ubiquitous heterogeneity in mesopelagic N2 fixation. Thus, we call for more observations to constrain mesopelagic N2 fixation budgets and to understand the underlying mechanism for such heterogeneity.
Towards dynamic multiscale feedback during the injection moulding cycle of plastics
Authors: Massano Anabela P. , Vargas Patricio , Carreira Pedro , Matias Joao , Malfois Marc , Novo Paulo J. , Martinho Pedro , Pontes Antonio , Mitchell Geoffrey R.
Published: November 2024

Injection moulding is a very popular technology for shaping plastics. Its history stretches back to the nineteenth century, and, as a consequence, it has developed outside the framework of digitisation. In order to fully implement the concepts of Industry 4.0, we need to update these legacy technologies so that they can fully benefit from the developments inherent in the “Internet of Things” and allow the process of injection moulding to take full advantage of digital optimisation so that it can fit effectively in the digital factory. In this work, we explore the quantitative use of X-ray scattering as a technology that can provide dynamic and multiscale feedback during the injection moulding cycle to be able to exploit digital twin technology as a means to optimise the operational parameters involved in injection moulding and to enable digital design of moulds in the fullest sense. This manuscript provides a way to mark future work and draw these possibilities to a wider audience.
Deciphering differences in microbial community characteristics and main factors between healthy and root rot-infected Carya cathayensis rhizosphere soils
Authors: Fang Wei , Zhu Yiyang , Liang Chenfei , Shao Shuai , Chen Junhui , Qing Hua , Xu Qiufang
Published: November 2024

Introduction

Fusarium-induced root rot of Carya cathayensis (C. cathayensis) is a typical soil-borne disease that has severely damaged the Carya cathayensis industry in China. Understanding the interaction among soil microbial communities, soil characteristics, and pathogenic bacteria is very important for the ecological prevention and control of Carya cathayensis root rot.

Methods

We used Miseq Illumina high-throughput sequencing technology to study the microbial community in the rhizosphere soil of healthy and diseased C. cathayensis, quantified the abundance of bacteria, fungi, and pathogenic fungi, and combined these with soil chemistry and enzyme activity indicators to analyze the characteristics of healthy and diseased rhizosphere soils.

Results

We found that the pH, soil organic carbon(SOC), available nitrogen (AN), available phosphorus (AP), available potassium (AK),N-acetyl-β-D-glucosaminidase (NAG) β-glucosidase (BG), fungal gene copy number, bacterial community diversity and network complexity of the diseased soil were significantly lower (p < 0.05), while Fusarium graminearum copies number levels increased (p < 0.05). Additionally, the study found that healthy soils were enriched with beneficial bacteria such as Subgroup_7 (0.08%), MND1 (0.29%), SWB02 (0.08%), and Bradyrhizobium (0.09%), as well as potential pathogen-suppressing fungi such as Mortierella (0.13%), Preussia (0.03%), and Humicol (0.37%), were found to be associated with the growth and development of C. cathayensis.

Discussion

In summary, this research comprehensively reveals the differences in environmental and biological factors between healthy and diseased soils, as well as their correlations. It provides a theoretical basis for optimal soil environmental regulation and the construction of healthy microbial communities. This foundation facilitates the development of multifaceted strategies for the prevention and control of C. cathayensis root rot.
Variation and evolution analysis of SARS-CoV-2 using self-game sequence optimization
Authors: Liu Ziyu , Shen Yi , Jiang Yunliang , Zhu Hancan , Hu Hailong , Kang Yanlei , Chen Ming , Li Zhong
Published: November 2024

Introduction

The evolution of SARS-CoV-2 has precipitated the emergence of new mutant strains, some exhibiting enhanced transmissibility and immune evasion capabilities, thus escalating the infection risk and diminishing vaccine efficacy. Given the continuous impact of SARS-CoV-2 mutations on global public health, the economy, and society, a profound comprehension of potential variations is crucial to effectively mitigate the impact of viral evolution. Yet, this task still faces considerable challenges.

Methods

This study introduces DARSEP, a method based on Deep learning Associates with Reinforcement learning for SARS-CoV-2 Evolution Prediction, combined with self-game sequence optimization and RetNet-based model.

Results

DARSEP accurately predicts evolutionary sequences and investigates the virus’s evolutionary trajectory. It filters spike protein sequences with optimal fitness values from an extensive mutation space, selectively identifies those with a higher likelihood of evading immune detection, and devises a superior evolutionary analysis model for SARS-CoV-2 spike protein sequences. Comprehensive downstream task evaluations corroborate the model’s efficacy in predicting potential mutation sites, elucidating SARS-CoV-2’s evolutionary direction, and analyzing the development trends of Omicron variant strains through semantic changes.

Conclusion

Overall, DARSEP enriches our understanding of the dynamic evolution of SARS-CoV-2 and provides robust support for addressing present and future epidemic challenges.
Core publications in drug discovery and natural product research
Authors: Jalil Banaz , Rollinger Judith M. , Atanasov Atanas G. , Singla Rajeev K. , Kinghorn A. Douglas , Heinrich Michael
Published: November 2024

Natural products have long been a cornerstone of drug discovery, providing diverse and biologically relevant chemical scaffolds. This work aims to guide newcomers to natural product research and, specifically, drug discovery by presenting a curated list of 30 key publications selected through an international survey of experts and critical evaluation by the authors. The selected works span textbooks, review articles, and original research papers, covering various aspects of natural product research, including chemistry, pharmacology, analytical sciences, emerging open science, and computational approaches. We discuss historical milestones in natural product drug discovery, highlighting the specific contributions of the U.S. National Cancer Institute in developing anticancer and anti-HIV agents. The present work also addresses current challenges and innovations in the field, emphasizing the importance of data quality, interdisciplinary collaboration, and the integration of artificial intelligence. By providing this carefully selected reading list and accompanying analysis, we aim to offer a comprehensive yet accessible entry point for researchers new to natural product-based drug discovery and highlight future directions and opportunities in this dynamic field.
The association between oxidative balance score and sleep duration: a mediation analysis of a cross-sectional study
Authors: Hao Guihua , Zhao Xiaomei , Fu Weiwei , Wu Yiwen , Dai Jingjing , Qian Yifeng , Xie Tian , Hou Lili , Shi Wentao
Published: November 2024

Study objectives

The Oxidative Balance Score (OBS), which reflects overall oxidation through diet and lifestyle, has been linked to sleep, but few studies have clarified this relationship. We investigated the association between OBS and sleep duration, and whether oxidative stress (OS) and inflammation mediate the underlying mechanisms.

Methods

Data were obtained from the National Health and Nutrition Examination Survey spanning the years 2007 to 2018. Multivariable logistic regression analyses were used to evaluate the association between OBS and the risk of sleep duration. Mediation analyses were conducted to investigate the role of OS and inflammatory markers.

Results

A significant negative association was found between OBS and sleep duration (p < 0.01). Meanwhile, compared to participants in OBS tertile 1, the ORs (95% CIs) of incident short sleep duration were 0.78 (0.72–0.86) and 0.72 (0.67–0.79) (both p < 0.01) for OBS tertile 2 and 3, respectively. And the ORs (95% CIs) of incident long sleep duration were 0.83 (0.73, 0.95) and 0.66 (0.57, 0.75) (both p < 0.01) for OBS tertiles 2 and 3 after adjustment for multivariate variables. A linear relationship between OBS and short/long sleep duration (p for non-linearity = 0.69/0.94, both p < 0.01) were revealed. Mediation analysis showed absolute neutrophil count, serum total bilirubin mediated the association between OBS and short/long sleep duration with 5.72, 13.41% proportion of mediation, respectively (both p < 0.001).

Conclusion

OBS is negatively associated with sleep duration. OS and inflammatory biomarkers mediate the relationship.
Screening high-risk individuals for primary gastric adenocarcinoma: evaluating progression-free survival probability score in the presence and absence of Rictor expression after gastrectomy
Authors: Wang Jian , Li Yifan , Liang Sujiao
Published: November 2024

Objective

Developing nomogram-based risk stratification model to determine 3-year and 5-year progression-free survival (PFS) and to identify high-risk patients with gastric adenocarcinoma based on different Rictor statuses.

Methods

1366 individuals who underwent radical gastric surgery to treat gastric adenocarcinoma at Shanxi Cancer Hospital from May 2002 to December 2020 were analyzed. Cox regression analysis was employed to create the nomograms. The nomograms’ performance was assessed using C-index, time receiver operating characteristic (t-ROC) curves, calibration curves, and decision curve analysis (DCA) curves in training and validation cohorts. Subsequently, patients were categorized into high-risk and low-risk groups based on the nomogram’s risk scores.

Results

The Rictor (-) nomogram for predicting PFS included variables such as age, number of positive lymph nodes, vascular invasion, maximum diameter of the tumor, omentum metastasis, and expression of MSH2. In the internal validation, the C-index of the Rictor (-) nomogram was 0.760 (95%CI: 0.720-0.799), which was superior to the C-index of the American Joint Committee on Cancer (AJCC) 8th edition TNM staging (0.683, 95%CI: 0.646-0.721). Similarly, the Rictor (+) nomogram for predicting PFS included variables such as gender, age, pT stage, number of positive lymph nodes, neural invasion, maximum diameter of the tumor, omentum metastasis, Clavien-Dindo classification for complications, and CGA expression. The C-index of the Rictor (+) nomogram was 0.795 (95%CI: 0.764-0.825), which outperformed the C-index of the AJCC 8th edition TNM staging (0.693, 95%CI: 0.662-0.723). The calibration curves, t-ROC curves, and decision curve analysis for both nomogram models demonstrated their excellent prediction ability.

Conclusion

This study presents the first risk stratification for Rictor status in gastric adenocarcinoma. Our model identifies low-risk patients who may not require additional postoperative treatment, while high-risk patients should consider targeted therapies that specifically target Rictor-positive indicators.
Case report: a rare clinical presentation of a difficult diagnosis of dedifferentiated liposarcoma showing leiomyosarcoma phenotype in the ileocecal region
Authors: Kawasaki Tomonori , Tashima Tomoaki , Onohara Kojiro , Hirano Yasumitsu , Yamato Misuzu , Shirotake Suguru , Torigoe Tomoaki , Yazawa Yasuo , Hirasaki Masataka , Wako Masanori , Fujimaki Taro , Ichikawa Jiro
Published: November 2024

Dedifferentiated liposarcoma is a malignant lipomatous tumor that rarely occurs in the gastrointestinal tract, including the ileocecal region. In this case, computed tomography and magnetic resonance imaging showed no fatty mass located in the mesenteric or submucosal lesion, and positron emission tomography–computed tomography showed a high maximum standardized uptake value, collectively indicating the gastrointestinal stroma tumor and lymphoma. The pathological findings resemble leiomyosarcoma; the immunohistochemistry findings including mouse double minute 2 homolog and cyclin D-dependent kinase-4 and amplification of mouse double minute 2 homolog in fluorescence in situ hybridization just favored the diagnosis of dedifferentiated liposarcoma with leiomyosarcoma phenotype and not leiomyosarcoma. Recently, a new inhibitor for mouse double minute 2 homolog and cyclin D-dependent kinase-4 has been developed, and clinical trials for dedifferentiated liposarcoma are currently ongoing. This could change the treatment strategy drastically compared with other soft tissue sarcomas. Hence, a correct diagnosis of dedifferentiated liposarcoma is required.
Case report: Radical robotic nephroureterectomy after chemotherapy followed by avelumab in a patient with node-positive UTUC
Authors: Studentova Hana , Student Vladimir , Kurfurstova Daniela , Kopova Andrea , Melichar Bohuslav
Published: November 2024

Introduction

Platinum-based chemotherapy followed by the immune checkpoint inhibitor avelumab represents an intensified upfront therapy regimen that may result in significant downstaging and, subsequently, potentially radical robotic nephroureterectomy with a lymph node dissection, an uncommon approach with an unexpectedly favorable outcome.

Case presentation

We report a case of a 70-year-old female presented with a sizeable cN2+ tumor of the left renal pelvis and achieved deep partial radiologic response after systemic therapy with four cycles of gemcitabine-cisplatin chemotherapy followed by avelumab maintenance therapy and subsequent robotic resection of the tumor. The patient continued with adjuvant nivolumab therapy once recovered after surgery and remained tumor-free on the subsequent follow-up. The systemic treatment was without any severe adverse reaction.

Conclusion

We highlight the feasibility of the upfront systemic therapy with four cycles of gemcitabine-cisplatin chemotherapy followed by avelumab maintenance, robotic-assisted removal of the tumor, and adjuvant immunotherapy with nivolumab. This intensification of the upfront systemic therapy, and the actual treatment sequence significantly increase the chances of prolonged survival or even a cure. This type of personalized therapeutic approach can accelerate future advanced immunotherapeutic strategies.
Surgical management of a large cystic trochlear nerve schwannoma mimicking a brainstem glioma: a case report
Authors: Fimic Miroslav , Haas Patrick , Ortiz Rey Jose Antonio , Tatagiba Marcos
Published: November 2024

Introduction

Intracranial schwannomas represent a rare group of intracranial tumors, with purely motor nerve schwannomas being the rarest of them. The anatomical proximity of these tumors to the brainstem may present a radiological challenge in differentiating them from intra–axial brainstem tumors, which can influence further decision–making and treatment options.

Methods

We report on a 47–year–old male patient who was diagnosed with a large cystic intracranial tumor with radiological features suggestive of an intrinsic brainstem glioma.

Results

After discussing treatment options and risks based on a presumed radiological diagnosis, microsurgical treatment via lateral–suboccipital craniotomy in semi–sitting position, under continuous intraoperative neuromonitoring was performed. Intraoperative findings proved that the tumor was an extra–axial schwannoma originating from the left trochlear nerve. Gross total removal of the lesion was achieved.

Conclusion

Due to their rarity, non–specific symptoms and the possibility to mimicking intra–axial brainstem tumors on imaging, these tumors may present a diagnostic challenge and should be taken into account during treatment decision-making.
The skeleton: an overlooked regulator of systemic glucose metabolism in cancer?
Authors: Ronghe Rucha , Tavares Adriana A. S.
Published: November 2024

Recent discoveries demonstrated the skeleton’s role as an endocrine organ regulating whole-body glucose homeostasis. Glucose metabolism is critical for rapid cell proliferation and tumour growth through increasing glucose uptake and fermentation of glucose to lactate despite being in an aerobic environment. This hypothesis paper discusses emerging evidence on how bones can regulate whole-body glucose homeostasis with potential to impact on tumour growth and proliferation. Moreover, it proposes a clinical link between bone glucose metabolism and prognosis of cancer based on recent clinical trial data. Targeting metabolic pathways related with classic glucose metabolism and also bone metabolism, novel methods of cancer therapy and treatment could be developed. This paper objective is to highlight the need for future research on this altered metabolism with potential to change future management of cancer patients.
Single and consecutive 10-day remote ischemic preconditioning modify physical performance, post-exercise exerkine levels, and inflammation
Authors: Kochanowicz Magdalena , Brzezinska Paulina , Mieszkowski Jan , Kochanowicz Andrzej , Niespodzinski Bartlomiej , Surmiak Marcin , Reczkowicz Joanna , Borkowska Andzelika , Antosiewicz Jedrzej
Published: November 2024

Purpose

Remote ischemic preconditioning (RIPC) is a method of protection against induced ischemia reperfusion injury, and an increasing number of studies showed some of its inconclusive ergogenic effects in sports. RIPC involves short cycles of cuff inflation followed by its deflation which may affect many body systems. While most of the studies focus on single RIPC effects, there is insufficient data regarding training-like repeated RIPC interventions. Thus, in this study, we analyzed the effect of a single- and consecutive 10-day RIPC procedure on a single leg, focusing on the exerkine levels and changes in inflammation markers following the Wingate Anaerobic Test (WAnT).

Methods

Two single-blinded, sham-controlled protocols were designed to evaluate the 1) single (crossover study) and 2) consecutive 10-day (parallel study) RIPC effects on the WAnT performance and exercise-induced lactate, glucose, exerkine, and inflammation markers (BDNF; IL-6; IL-10; IL-15; LIF; oncostatin M). In each protocol, 37 physically active men (19.98 ± 1.17 years) were randomly assigned into two groups according to a particular study design.

Results

An increase in participants’ mean (4.81%, p < 0.05) and peak power (6.25%, p < 0.05) during the WAnT was observed only after the consecutive 10-day RIPC. Similarly, a significant 15.5% (p < 0.05) decrease in the IL-6 concentration 120 min after the WAnT was observed only in the consecutive 10-day RIPC protocol, as well as a 12.2% (p < 0.01) increase in oncostatin M 60 min after the WAnT.

Conclusion

The results demonstrate the efficacy of the consecutive 10-day RIPC procedure in modulating exercise performance and post-exercise inflammation markers.
Molecular mechanisms of lipid droplets-mitochondria coupling in obesity and metabolic syndrome: insights and pharmacological implications
Authors: Zhang Chunmei , Zheng Mingxuan , Bai Runlin , Chen Jiale , Yang Hong , Luo Gan
Published: November 2024

Abnormal lipid accumulation is a fundamental contributor to obesity and metabolic disorders. Lipid droplets (LDs) and mitochondria (MT) serve as organelle chaperones in lipid metabolism and energy balance. LDs play a crucial role in lipid storage and mobilization, working in conjunction with MT to regulate lipid metabolism within the liver, brown adipose tissue, and skeletal muscle, thereby maintaining metabolic homeostasis. The novelty of our review is the comprehensive description of LD and MT interaction mechanisms. We also focus on the current drugs that target this metabolism, which provide novel approaches for obesity and related metabolism disorder treatment.
Study of red vine phenotypic plasticity across central-southern Italy sites: an integrated analysis of the transcriptome and weather indices through WGCNA
Authors: Sicilia Angelo , Villano Clizia , Aversano Riccardo , Di Serio Ermanno , Nicolosi Elisabetta , Ferlito Filippo , Lo Piero Angela Roberta
Published: November 2024

The grapevine (Vitis spp., family Vitaceae) is characterized by marked phenotypic plasticity. Its ability to withstand specific environmental conditions depends on the activation of highly coordinated responses resulting from interactions among genotypes (G) and environmental factors (E). In this study, the transcriptomes of commercially ripe berries of the Cabernet Sauvignon and Aglianico genotypes grown in open fields at three different sites in central-southern Italy (Campania, Molise and Sicily) were analyzed with RNA sequencing. These transcriptomic data were integrated with a comprehensive set of weather course indices through weighted gene co-expression network analysis (WGCNA). A total of 11,887 differentially expressed genes (DEGs) were retrieved, most of which were associated with the Aglianico genotype. The plants from the Sicilian site presented the greatest number of DEGs for both genotypes. Most of the weather course data (daily maximum air temperature, relative humidity, air pressure, dew point, and hours of sun radiation) were significantly correlated with the “lightcyan1” module, confirming WGCNA as a powerful method for identifying genes of high biological interest. Within this module, the gene encoding the ACA10 cation transporter was highly expressed in plants of both genotypes from Campania, where the lowest anthocyanin content was recorded. The transcriptome was also correlated with quality traits, such as total soluble solids and polyphenol content. This approach could lead to the identification of a transcriptomic profile that may specifically identify a genotype and its growing site and to the discovery of hub genes that might function as markers of wine quality.
Understanding the COVID-19 vaccine uptake, acceptance, and hesitancy in Ethiopia and Tanzania: a scoping review
Authors: Gudina Esayas Kebede , Muro Florida Joseph , Kyala Norman Jonas , Melaku Tsegaye , Sørensen Jane Brandt , Meyrowitsch Dan Wolf , Mekonnen Zeleke , Dræbel Tania Aase
Published: November 2024

Background

The development and implementation of COVID-19 vaccines have been a breakthrough in controlling the pandemic. However, the vaccination coverage in most low-income countries remains very low due to critical vaccine shortage and profound hesitancy. In this scoping review, we aimed to assess COVID-19 vaccine uptake, acceptance, and hesitancy in Ethiopia and Tanzania.

Methods

The search was made in PubMed, Scopus, Embase, and Web of Science. Only original research articles focusing on vaccine acceptance and hesitancy were included. The studies selected for a full read were analysed using a thematic analysis approach.

Findings

A total of 76 articles were included in the study, with 74 of them coming from Ethiopia. The study found an increasing trend in vaccine uptake over time. However, there was also an increase in hesitancy and a decline in willingness to receive the vaccine. The willingness to receive the COVID-19 vaccine in Ethiopia ranged from 18.5 to 88%. The main reasons for "vaccine hesitancy" included fear of side effects, concerns about long-term safety, doubts about vaccine effectiveness, lack of information, vaccine fast-tracking, and religious beliefs. The study also found that younger individuals, females, and pregnant women were less willing to receive the vaccine. The adverse events reported among vaccinated individuals were mostly mild. Most of the studies operationalised vaccine acceptance-hesitancy as dichotomous variables. However, the historical, political, and socio-cultural context in which vaccine acceptance and hesitancy occur was not given any attention. While there is a good amount of data from Ethiopia describing patterns of vaccine acceptance and hesitancy among different populations over time, there is limited information from Tanzania due to the late arrival of the vaccine and limited published articles.

Conclusion

We have observed a paradox involving two seemingly conflicting trends: an increase in vaccination rates/coverage and "anti-vax." Most studies have simplified vaccine acceptance-hesitancy as an “either-or” incident, without considering its dynamic nature and occurrence within a broader political, social, and cultural context. Therefore, it is crucial to explore approaches that can enhance our understanding of the vaccine acceptance-hesitancy phenomenon, in order to improve vaccine trust and uptake.
Age and sex-related differences in elastic properties of the gastrocnemius muscle-tendon unit: an observational prospective study
Authors: Zhang Zhijie , Wang Wenjing , Li Feng , Guo Jiayi
Published: November 2024

Introduction

Changes in the mechanical properties of the gastrocnemius muscle-tendon unit can lead to abnormal biomechanics of lower limbs, which is a risk factor for the development of many diseases. However, fewer studies have explored physiological changes in the gastrocnemius muscle-tendon unit stiffness. This study aimed to investigate the age- and sex-related differences in the gastrocnemius muscle-tendon unit stiffness.

Methods

The study included 20 older women, 20 young women, and 20 older men. Shear wave elastography (SWE) was used to measure the stiffness of the medial gastrocnemius (MG), lateral gastrocnemius (LG), and Achilles tendon (AT) in all subjects in relaxed, neutral, and standing positions.

Results

The results showed no significant differences in the MG, LG, and AT stiffness between the dominant and non-dominant sides (p > 0.05). The MG, LG, and AT stiffness changed with positions (p < 0.05). The LG stiffness in older women was lower than in older men and young women in any position (p < 0.05). The MG stiffness in older men was greater than that in older women in any position, and age-related changes were found only in the relaxed and standing positions (p < 0.05). The AT stiffness was higher in older men only in the relaxed position (p < 0.05). There was no significant difference in AT stiffness between older and younger women at any position (p > 0.05).

Discussion

These results suggest that the bilateral gastrocnemius muscle-tendon unit stiffnesses were similar regardless of sex, age, and position. The stiffness of the gastrocnemius in women decreased with age. However, the effect of aging on AT stiffness was slight. Men have greater gastrocnemius stiffness in older adults.
Scalable O(log2n) Dynamics Control for Soft Exoskeletons
Authors: Colorado Julian D. , Mendez Diego , Gomez-Bautista Andres , Bermeo John E. , Alvarado-Rojas Catalina , Cuellar Fredy
Published: November 2024

Robotic exoskeletons are being actively applied to support the activities of daily living (ADL) for patients with hand motion impairments. In terms of actuation, soft materials and sensors have opened new alternatives to conventional rigid body structures. In this arena, biomimetic soft systems play an important role in modeling and controlling human hand kinematics without the restrictions of rigid mechanical joints while having an entirely deformable body with limitless points of actuation. In this paper, we address the computational limitations of modeling large-scale articulated systems for soft robotic exoskeletons by integrating a parallel algorithm to compute the exoskeleton’s dynamics equations of motion (EoM), achieving a computation with O(log2n) complexity for the highly articulated n degrees of freedom (DoF) running on p processing cores. The proposed parallel algorithm achieves an exponential speedup for n=p=64 DoF while achieving a 0.96 degree of parallelism for n=p=256, which demonstrates the required scalability for controlling highly articulated soft exoskeletons in real time. However, scalability will be bounded by the n=p fraction.
Effect of Bacillus licheniformis on Growth, Bone Mineralization, and Intestinal Microbiota in Broilers Fed Cowpea Diets
Authors: Dumitru Mihaela , Lefter Nicoleta Aurelia , Ciurescu Georgeta , Draghici Reta
Published: November 2024

This study investigates the effects of the Bacillus licheniformis (BL) ATCC 21424 strain, as a potential bacterial probiotic in broiler diets based on soybean meal (SBM) or cowpea seeds (CWP), on growth performance (GP), bone mineralization, and intestinal/fecal microbiota status (0 to 42 d age). A 2 × 2 factorial arrangement was employed in a completely randomized design, with four dietary treatments: SBM and CWP diets with or without BL supplementation (1.0 × 1011 CFU spores g−1 feed). A total of 480 one-day-old mixed-sex Ross 308 broiler chickens were randomly assigned to the treatments, with 6 pens of 20 chicks each. The results showed that broilers fed with CWP diets showed comparable body weight gain (BWG), feed intake (FI), and feed conversion rate to those fed the SBM diet (p > 0.05). The inclusion of BL improved BWG during the grower and finisher periods (p = 0.01) and overall study (p < 0.001), resulting in a numerical increase in FI (p = 0.054). In addition, BL in birds’ diets reduced abdominal fat (p = 0.032) and influenced cecum weight (p = 0.040). Additionally, BL improved tibia iron (Fe) and phosphorus (P) bone mineralization and reduced the calcium–phosphorus (Ca:P) ratio (p = 0.0001). Microbial analysis revealed that BL inclusion decreased Coliforms counts in the CWP diet (p = 0.073), reduced E. coli in the ileum (p ≤ 0.05), and lowered Clostridium spp. and Enterococcus spp. in the cecum broilers on SBM diets (p ≤ 0.05). The presence of Staphylococcus spp. in broiler feces was also reduced in both SBM and CWP groups (p < 0.05). In conclusion, the addition of BL to broiler diets enhanced growth performance and bone mineralization and positively influenced gut and excreta bacterial populations in both SBM and CWP diets.
Improvement of Transplanting Rice Yield and Nitrogen Use Efficiency by Increasing Planting Density in Northeast China Under the Optimal Nitrogen Split-Fertilizer Applications
Authors: Liu Zichen , Li Wanchun , Geng Shujuan , Zhang Rui , Dou Man , Wu Meikang , Li Liangdong , Wang Dongchao , Wei Xiaoshuang , Tian Ping , Yang Meiying , Wu Zhihai , Wu Lei
Published: November 2024

There are few studies on how nitrogen (N) fertilizer application rates and transplanting densities impact rice yield, root distribution, and N use efficiency in the cold regions of Northeast China. This research involved a two-year field trial utilizing Jinongda 667 as the material. In 2021, three N split-fertilizer applications—T1 (6:3:1), T2 (5:3:2), T3 (4:3:3)—and two transplanting densities—D1 (30 cm × 13.3 cm) and D2 (30 cm × 20 cm)—were compared with the conventional cultivation mode (T0: 175 kg N hm−2, 6:3:1), whereby the N application mode most suitable for increasing density was explored. In 2022, four N application levels—0 (N0), 125 (N1), 150 (N2), and 175 (N3) kg N hm−2—were assessed under the same density treatment to analyze the yield, resource utilization efficiency, and root traits of Jinongda 667. The results indicated that when the transplanting density was 30 cm × 13.3 cm, the application of 5:3:2 fertilizer was more conducive to improving rice yield. Increasing planting density under reduced N input significantly enhanced both rice yield and N use efficiency. In contrast to the conventional cultivation method (D2N3), the treatment of increased planting density (D1N2) under reduced N input led to a 21.2% rise in the number of panicles per square meter and an 8.6% boost in rice yield. Furthermore, increasing planting density under reduced N input significantly enhanced the agronomic efficiency of N fertilizer, the apparent utilization rate, and the N harvest index. It also boosted the SPAD value, photosynthetic rate, and the utilization efficiency of light and N resources in rice. However, it was noted that root enzyme activity decreased. This study demonstrated that increasing planting density, combined with the N application mode of 5:3:2 and an N application rate of 150 kg hm−2, maximized resource utilization efficiency, optimized root absorption capacity, and resulted in higher yields.
Climate Change as an Existential Threat to Tropical Fruit Crop Production—A Review
Authors: Raju Chinnu , Pazhanivelan Sellaperumal , Perianadar Irene Vethamoni , Kaliaperumal Ragunath , Sathyamoorthy N. K. , Sendhilvel Vaithiyanathan
Published: November 2024

Climate change is an emerging threat to global food and nutritional security. The tropical fruits such as mango, bananas, passionfruit, custard apples, and papaya are highly sensitive to weather changes especially; changes of monsoon onset and elevated temperature are influencing crop growth and production. There is a need for more specific studies concerning individual crops and regional variations. Long-term effects and interactions of weather parameters and increased concentration of greenhouse gases, especially carbon dioxide, with phenological stages of the plant, pests, and diseases remain understudied, while adaptation strategies require further exploration for comprehensive understanding and effective mitigation. Few researchers have addressed the issues on the effect of climate change on tropical fruits. This paper focuses on the impact of abiotic (temperature, rainfall, humidity, wind speed, evaporation, carbon dioxide concentration) and biotic (pest and pathogens dynamics) factors affecting the fruit crop ecosystem. These factors influence flowering, pollination, fruit set, fruit yield and quality. This review paper will help develop adaptive strategies, policy interventions and technological innovations aimed at mitigating the adverse effects of climate change on tropical fruit production and safeguarding global food and nutritional security.
The Effects of FR and UVA Irradiation Timing on Multi-Omics of Purple Lettuce in Plant Factories
Authors: Zhang Yubin , Li Zhaoxin , Zhang Ning , Chai Xiujuan
Published: November 2024

The synergistic application of far-red (FR) and ultraviolet A (UVA) irradiation presents a promising approach for enhancing growth and the enrichment of secondary metabolites in plants. However, prolonged exposure to these combined light qualities imposes significant stress on plants, hindering their development. Therefore, an initial period of FR irradiation to promote plant growth, followed by a subsequent period of UVA irradiation to enhance the accumulation of plant quality, constitutes a viable strategy. Our study, focusing on purple lettuce, aims to elucidate the response mechanisms of the lettuce leaf under standard white light in commercial production, with the addition of different durations of FR and UVA irradiation, and to explore the complex dynamic changes at the multi-omics level. The results indicate that the duration of FR exposure is crucial in determining biomass-related phenotypes such as fresh weight, while the duration of UVA exposure significantly influences the accumulation of phenotypic markers like anthocyanins. At the transcriptional level, the most extensive transcriptional regulation was observed when FR was applied throughout the entire growth period, and UVA was applied eight days before harvest, significantly impacting pathways such as MAPK signaling cascades, plant hormone signal transduction, photosynthetic processes, and the biosynthesis of secondary metabolites. Metabolomic analysis corroborated the transcriptomic findings, with particular emphasis on antioxidant activity, photoprotection, and defense mechanisms. Our comprehensive analysis suggests that short-term UVA irradiation prior to harvest, based on full growth period FR irradiation, is feasible. The combined application of FR and UVA irradiation fine-tunes plant growth, developmental trajectories, and stress responses by modulating light signals, hormonal signals, and secondary metabolic pathways. These findings not only reveal the adaptive mechanisms of plants to fluctuating light environments but also provide a scientific basis for optimizing light management strategies in controlled plant production systems and precision agriculture.
Appraisal of Heavy Metal Risk Hazards of Eisenia fetida-Mediated Steel Slag Vermicompost on Oryza sativa L.: Insights from Agro-Scale Inspection and Machine Learning Analytics
Authors: Jha Sonam , Banerjee Sonali , Ghosh Saibal , Verma Anjana , Bhattacharyya Pradip
Published: November 2024

The steel industry drives world economic growth, yet it generates heavy metal-rich steel slag, which jeopardizes the environment. The utilization of vermi-technology is essential for the sustainable transformation of toxic steel waste slag (SW) into organic amendments, although field-scale use of vermiprocessed SW remains unexplored. To bridge the gap, this study evaluated the efficacy of vermiprocessed SW as an organic supplement for rice field cultivation, focusing on heavy metal (HM) bioavailability, human health risk, and yield in comparison to raw slag and NPK fertilizer. The results indicated a considerable decrease in the bioavailable fraction of heavy metals in T4 (1:1 SW vermicompost 50% + 50% fertilizer). In treatments, T9 (100% SW) and T10 (50% SW + 50% fertilizer) (FIAM) free ion activity modeling confirmed grain absorption of HMs, and the FIAM HQ values indicated the health risk for the direct application of steel slag waste on the field. The risk factor evaluation of HMs’ presence in treatments T9 and T10 established the possible cancer risk for living beings. Similarly, machine learning models like SOBOL sensitivity analysis and artificial neural networks revealed potential threats associated with HMs on different treatments, respectively. The correlation coefficient revealed the negative effects of bioavailable HMs on various soil microbial and enzymatic properties. Moreover, the abundant yield of rice was attributed to the combination treatment (1:1 50% + NPK 50%), which paved the way for an alternative agronomic approach based on the utilization of vermicomposted steel waste slag.
Preharvest Natural Multitoxin Contamination of Winter Wheat Genotypes in Hungary with Special Attention to Aflatoxins and HT-2 Toxin
Authors: Berényi Attila , Szabó Balázs , Meszlényi Tamás , Vágvölgyi Csaba , Tóth Beáta , Mesterházy Ákos
Published: November 2024

Toxigenic fungi are among the most significant disease-causing agents in wheat. DON is the most common Fusarium mycotoxin, and for a long time, it was the only toxin researched. However, multitoxin data from wheat samples have drawn attention to the fact that much more toxins can be involved in the wheat toxin story than we supposed earlier. For resistance breeding, we need a more detailed approach to identify toxins that occur above the limit and identify the source of the fungal species that produces them. This study analyzed local wheat varieties for fungal infections and natural multitoxin contamination. Eighteen winter wheat genotypes were tested for fungal contaminations across three different locations in 2021 and 2022. Fourteen different mycotoxins—deoxynivalenol, aflatoxins (B1, B2, G1, and G2), fumonisins (B1 and B2), sterigmatocystin, ochratoxin A, zearalenone, T-2, HT-2, and diacetoxyscirpenol—were analyzed using HPLC/triple-quad MS. Toxigenic species such as Fusarium, Aspergillus, and Penicillium had low rates of occurrence, but the toxin contamination was often surprisingly high. Many samples without corresponding fungal infections were also identified as containing mycotoxins. Therefore, the identified fungal infection is less useful for forecasting toxin level. In conclusion, mycotoxin contamination is decisive. Most samples were contaminated by one or more mycotoxins. Although the mycotoxin concentrations typically remained below EU limits, some samples exhibited higher levels, particularly aflatoxins and Ht-2 toxin. Significant variations were observed across year, location, and genotype. For several toxins, significant genotype differences were identified, supporting the hypothesis that resistance may be a useful and suitable control measure. Stability of toxin contamination across years and locations is a very valuable trait; genotypes were identified with low toxin levels and stability (low variance) to all mycotoxins tested. It seems that, in addition to DON, more attention should be given to aflatoxin B1, B2, and G1, which provided similar concentrations. The HT-2 toxin was present in many samples surpassing EU limits. This is the first report on the dangerous occurrence of preharvest-origin aflatoxins and the HT-2 toxin of wheat in Hungary.