bluuebunny/crossref_metadata_2025 huggingface dataset:
Irrigation Regime Optimization Plays a Critically Important Role in Plastic-Shed Vegetable Production to Mitigate Short-Term and Future N Leaching Pollution
Authors: Xu Xiuchun , Cui Bin , Yang Xuan , Yuan Ning , Wang Ligang , Ni Bang , Meng Fanqiao
Published: October 2024

In northern China, plastic-shed vegetable production significantly contributes to nitrogen (N)-induced groundwater eutrophication due to excessive fertilization and irrigation. However, the impact of optimized farming practices on N leaching has seldom been systematically examined. We conducted a four-season field study to evaluate the impacts of optimal farming measures on tomato yield, water percolation, N concentration in leachate, and total N (TN) leaching. The treatments included conventional fertilization and flood irrigation (CON), fertilization decreased by 20% and flood irrigation (OPT1) or drip fertigation (OPT2), fertilization decreased by 30% and drip fertigation (OPT3), and no fertilization with flood irrigation (CK). Compared with the CON treatment, the optimal treatments significantly reduced annual TN leaching by 9.92–50.7% without affecting tomato yield (57.1–98.2 t ha−1 for CON and 48.1–106 t ha−1 for three optimal treatments). Drip irrigation contributed 73.8–79.0% to the mitigation of TN leaching. The N originating from soil and irrigation water exhibited a similar contribution to TN leaching (45.4–58.6%) to that of fertilizer N. The daily TN leaching at the basal fertilization stage was much greater than that at the top-dressing stage, due to over-fertilization. Optimizing fertilization, particularly basal fertilization, in combination with drip irrigation could substantially reduce N leaching in plastic-shed vegetable production. Other optimal practices, such as decision support systems (DSSs) and fertilizer amendments, could also be investigated to further mitigate the N leaching.
Extension of Vase Life by Nano-Selenium in Rosa hybrida
Authors: Wang Yiting , Cai Yiling , Cai Dongbo , Xue Jia , Wang Dao , Xue Yansheng , Wang Qijian , Xu Feng
Published: October 2024

Vase life directly affects the ornamental value of cut flowers, and extending vase life has been a research focus in the floriculture industry. The antioxidant and antimicrobial properties of Nano-Se provide a new direction to extend the life of cut-flower vase life. In order to explore the postharvest quality of Nano-Se on cut-flower roses, this study treated cut-flower roses with different concentrations of Nano-Se (200, 400, and 600 mM) using a commercially available preservative solution as a base solution. The results showed that appropriate concentrations of Nano-Se significantly increased the vase life of cut-flower roses and helped to maintain high petal moisture content. Nano-Se at concentrations of 200, 400, and 600 mM extended the vase life of cut roses by 4.3, 5.7, and 3.7 d, respectively. As the vase period extended, the Nano-Se treatment group effectively delayed the decline in antioxidant enzyme activities such as peroxidase (POD) and catalase (CAT), maintained the soluble sugar (SS) and soluble protein (SP) contents in the cut roses, and inhibited the production of malondialdehyde (MDA) and hydrogen peroxide (H2O2), reducing their accumulation. A correlation analysis of the physiological indexes of cut roses showed that vase life was positively correlated with POD and CAT activities, SS and SP contents, and total phenolic acid content and negatively correlated with MDA and H2O2 contents. This study provides a solid theoretical basis for the diversification of preservatives and the development of new preservatives for fresh-cut roses, which is expected to provide significant economic benefits.
Suitability Assessment and Optimization of Small Dams and Reservoirs in Northern Ghana
Authors: Umukiza Etienne , Abagale Felix K. , Apusiga Adongo Thomas , Petroselli Andrea
Published: October 2024

Water shortages, exacerbated by erratic rainfall, climate change, and population growth, pose significant challenges globally, particularly in semi-arid regions like northern Ghana. Despite the construction of numerous small dams in the region that were intended to provide reliable water for domestic and irrigation purposes, critical water issues persist during dry periods. Key drivers in this failure are attributed to the lack of studies and/or the number of inadequate studies on suitable dam siting. This study focused on assessing the sites of selected small dams in northern Ghana, employing various methods such as stream order analysis and the Analytic Hierarchy Process within a Geographic Information System framework. Results showed that many existing dams are poorly sited, with over half located far from major stream networks, resulting in drying out during the dry season and failing to meet sustainable water storage standards. This study proposed new dam locations that would allow achieving a significant increase in storage capacities from 30% to 60%. These results highlight the necessity for decision-makers to adopt research-based approaches to address water shortages effectively, balancing agricultural, domestic, economic, and environmental needs. Future research should integrate climate change considerations, long-term monitoring, environmental impact assessments, and advanced decision-making techniques such as machine learning.
SARS-CoV-2 Vaccine Improved Hemostasis of a Patient with Protein S Deficiency: A Case Report
Authors: Mohammad Mohammad A. , Malik Alaa , Thangada Lekha , Polanía-Villanueva Diana , Zabaleta Jovanny , Majumder Rinku
Published: October 2024

A 16-year-old patient, while an infant, incurred right-sided hemiparesis and had difficulty breast feeding. She was later diagnosed with a neonatal stroke and her genetic testing showed a missense mutation in her PROS1 (Protein S) gene. Both her grandfather and father, but not her mother, had hereditary Protein S (PS) deficiency. The patient was not prescribed any mediation due to her young age but was frequently checked by her physician. The patient’s plasma was first collected at the age of 13, and the isolated plasma from the patient and her father were analyzed by aPTT, thrombin generation, and enzyme-linked immunosorbent assays. These analyses showed low PS activity and clotting time associated with the missense mutation in the PROS1 gene. During the COVID-19 pandemic, the patient received her first Pfizer vaccination dose in 2021, followed by a booster dose in 2022. The plasma samples were collected 8 weeks post-immunization, after which her clotting parameters had improved for up to 6 months following vaccination. The patient’s plasma showed a significant reduction in thrombin generation and an improved aPTT clotting time. Mass spectrometry analysis revealed that her antithrombin-III level was significantly higher post-vaccination, and both thrombin and FXII levels were significantly lowered compared with her father. To our knowledge, this is the first report to document that COVID-19 vaccination can lower the risk of thrombosis in a patient with inherited thrombophilia. Although the effect was observed on a single mutation, it would be interesting to investigate the effect of COVID-19 vaccinations on other thrombophilia.
Physiological Parameters and Transcriptomic Levels Reveal the Response Mechanism of Maize to Deep Sowing and the Mechanism of Exogenous MeJA to Alleviate Deep Sowing Stress
Authors: Wang Fang , Feng Zhijin , Yang Xinyi , Zhou Guangkuo , Peng Yunling
Published: October 2024

Deep sowing, as a method to mitigate drought and preserve soil moisture and seedlings, can effectively mitigate the adverse effects of drought stress on seedling growth. The elongation of the hypocotyl plays an important role in the emergence of maize seeds from deep-sowing stress. This study was designed to explore the function of exogenous methyl jasmonate (MeJA) in the growth of the maize mesocotyl and to examine its regulatory network. The results showed that the addition of a 1.5 μ mol L−1 MeJA treatment significantly increased the mesocotyl length (MES), mesocotyl and coleoptile length (MESCOL), and seedling length (SDL) of maize seedlings. Transcriptome analysis showed that exogenous MeJA can alleviate maize deep-sowing stress, and the differentially expressed genes (DEGs) mainly include ornithine decarboxylase, terpene synthase 7, ethylene responsive transcription factor 11, and so on. In addition, candidate genes that may regulate the length of maize hypocotyls were screened by Weighted Gene Co-expression Network Analysis (WGCNA). These genes may be involved in the growth of maize hypocotyls through transcriptional regulation, histones, ubiquitin protease, protein binding, and chlorophyll biosynthesis and play an important role in maize deep-sowing tolerance. Our research findings may provide a theoretical basis for determining the tolerance of maize to deep-sowing stress and the mechanism of exogenous hormone regulation of deep-sowing stress.
Knock-Out of IKKepsilon Ameliorates Atherosclerosis and Fatty Liver Disease by Alterations of Lipid Metabolism in the PCSK9 Model in Mice
Authors: Weiss Ulrike , Mungo Eleonora , Haß Michelle , Benning Denis , Gurke Robert , Hahnefeld Lisa , Dorochow Erika , Schlaudraff Jessica , Schmid Tobias , Kuntschar Silvia , Meyer Sofie , Medert Rebekka , Freichel Marc , Geisslinger Gerd , Niederberger Ellen
Published: October 2024

The inhibitor-kappaB kinase epsilon (IKKε) represents a non-canonical IκB kinase that modulates NF-κB activity and interferon I responses. Inhibition of this pathway has been linked with atherosclerosis and metabolic dysfunction-associated steatotic liver disease (MASLD), yet the results are contradictory. In this study, we employed a combined model of hepatic PCSK9D377Y overexpression and a high-fat diet for 16 weeks to induce atherosclerosis and liver steatosis. The development of atherosclerotic plaques, serum lipid concentrations, and lipid metabolism in the liver and adipose tissue were compared between wild-type and IKKε knock-out mice. The formation and progression of plaques were markedly reduced in IKKε knockout mice, accompanied by reduced serum cholesterol levels, fat deposition, and macrophage infiltration within the plaque. Additionally, the development of a fatty liver was diminished in these mice, which may be attributed to decreased levels of multiple lipid species, particularly monounsaturated fatty acids, triglycerides, and ceramides in the serum. The modulation of several proteins within the liver and adipose tissue suggests that de novo lipogenesis and the inflammatory response are suppressed as a consequence of IKKε inhibition. In conclusion, our data suggest that the knockout of IKKε is involved in mechanisms of both atherosclerosis and MASLD. Inhibition of this pathway may therefore represent a novel approach to the treatment of cardiovascular and metabolic diseases.
Differential Fatty Acid Response of Resident Macrophages in Human Skeletal Muscle Fiber and Intermuscular Adipose Tissue
Authors: Chen Xiaoying , Müller Aline , Pishnamaz Miguel , Hildebrand Frank , Bollheimer Leo Cornelius , Nourbakhsh Mahtab
Published: October 2024

Human skeletal muscle contains different types of tissues with skeletal muscle fibers (SMFs) and intermuscular adipose tissues (IMATs) as the main components. We maintained human skeletal muscle tissues from 12 study participants under native conditions in vitro for 11 days to investigate the dynamics of macrophages that reside in adjacent IMATs and SMFs simultaneously. The samples were subjected to immunohistochemical analysis for macrophage phenotyping and mitochondrial mass assessment before and after maintenance in vitro. Multiplex protein analysis was used to determine cytokine/chemokine expression in tissue extracts. The results revealed significant correlations between donor age or body mass index (BMI) and distinct phenotypes of resident macrophages in SMFs and IMATs. The dynamics of SMF- and IMAT-resident macrophages differed significantly in vitro and exhibited inverse correlations with chemokine/cytokine expression levels and mitochondrial activity. Moreover, the responses of macrophages to saturated and unsaturated fatty acids (FAs) differed substantially between SMFs and IMATs. These findings showed the functional diversity of phenotypically identical macrophages in adjacent niches. Thus, the currently available macrophage markers cannot capture the functional diversity of human tissue-resident macrophages. The model used in the present study may help elucidate how macrophages affect muscle homeostasis and disease in humans.
In Vitro Study of the Differential Anti-Inflammatory Activity of Dietary Phytochemicals upon Human Macrophage-like Cells as a Previous Step for Dietary Intervention
Authors: Ruiz-Alcaraz Antonio J. , Baquero Lorena , Pérez-Munar Paula Martínez , Oliva-Bolarín Alba , Sánchez-Martínez María A. , Ramos-Molina Bruno , Núñez-Sánchez María A. , Moreno Diego A.
Published: October 2024

Chronic inflammatory diseases pose a substantial health challenge globally, significantly contributing to morbidity and mortality. Addressing this issue requires the use of effective anti-inflammatory strategies with fewer side effects than those provoked by currently used drugs. In this study, a range of phytochemicals (phenolic di-caffeoylquinic acid (Di-CQA), flavonoid cyanidin-3,5-diglucoside (Cy3,5DiG), aromatic isothiocyanate sinalbin (SNB) and aliphatic isothiocyanate sulforaphane (SFN)) sourced from vegetables and fruits underwent assessment for their potential anti-inflammatory activity. An in vitro model of human macrophage-like cells treated with a low dose of LPS to obtain a low degree of inflammation that emulates a chronic inflammation scenario revealed promising results. Cell viability and production of the key pro-inflammatory cytokines were assessed in the presence of various phytochemicals. The compounds Di-CQA and Cy-3,5-DiG, within low physiologically relevant doses, demonstrated notable anti-inflammatory effects by significantly reducing the production of key pro-inflammatory cytokines TNF-α and IL-6 without affecting cell viability. These findings underscore the potential of plant-derived bioactive compounds as valuable contributors to the prevention or treatment of chronic inflammatory diseases. These results suggest that these compounds, whether used individually or as part of natural mixtures, hold promise for their inclusion in nutritional interventions designed to mitigate inflammation in associated pathologies.
A Synbiotic Combining Chitin–Glucan and Lactobacillus acidophilus NCFM Induces a Colonic Molecular Signature Soothing Intestinal Pain and Inflammation in an Animal Model of IBS
Authors: Capirchio Lena , Rousseaux Christel , Dubuquoy Caroline , Ouwehand Arthur C. , Maquet Véronique , Modica Salvatore , Louis Edouard , Desreumaux Pierre , Tack Jan
Published: October 2024

Chitin–glucan (CG) is a new generation of prebiotic. Lactobacillus acidophilus NCFM® (NCFM) is a probiotic with the ability to decrease abdominal pain. We evaluate the functional and molecular gastrointestinal responses to a synbiotic administration combining CG and NCFM in a rat model of long-lasting colon hypersensitivity. The intracolonic pressure was assessed during the 9-week experiment in animals receiving CG in association or not with NCFM and compared to that in Lacticaseibacillus paracasei Lpc-37®-treated animals and control rats receiving tap water. The effects of the synbiotic were evaluated using the Wallace score, the quantification of colon myeloperoxidase (MPO) and the master genes driving analgesia and inflammation. CG 1.5 alone and NCFM 109 colony forming units (CFU) alone similarly decreased the visceral pain sensitivity. Lpc-37 had no significant effect. The best profile of pain perception inhibition was obtained with the combination of CG 1.5 g and NCFM 109 CFU, confirming a synbiotic property. This synbiotic treatment significantly reduced macroscopic colonic lesions and MPO concentrations, and induced master genes involved in analgesia (CB1, CB2, MOR, PPARα), with a downregulation of inflammatory cytokines (IL-1β, TNFα) and an induction of IL-10 and PPARγ. In conclusion, CG 1.5 g + NCFM 109 CFU significantly decreased visceral pain perception and intestinal inflammation through the regulation of master genes.
Sodium Hydrosulfide Protects Rats from Hypobaric-Hypoxia-Induced Acute Lung Injury
Authors: Wang Renjie , Ma Shuhe , Yang Jun , Luo Kai , Qian Qingyuan , Pan Jinchao , Liang Keke , Wang Yihao , Gao Yue , Li Maoxing
Published: October 2024

Hydrogen sulfide (H2S), as a key gas signaling molecule, plays an important role in regulating various diseases, with appropriate concentrations providing antioxidative, anti-inflammatory, and anti-apoptotic effects. The specific role of H2S in acute hypoxic injury remains to be clarified. This study focuses on the H2S donor sodium hydrosulfide (NaHS) and explores its protective effects and mechanisms against acute hypoxic lung injury. First, various mouse hypoxia models were established to evaluate H2S’s protection in hypoxia tolerance. Next, a rat model of acute lung injury (ALI) induced by hypoxia at 6500 m above sea level for 72 h was created to assess H2S’s protective effects and mechanisms. Evaluation metrics included blood gas analysis, blood routine indicators, lung water content, and lung tissue pathology. Additionally, LC-MS/MS and bioinformatic analyses were combined in performing quantitative proteomics on lung tissues from the normoxic control group, the hypoxia model group, and the hypoxia model group with NaHS treatment to preliminarily explore the protective mechanisms of H2S. Further, enzyme-linked immunosorbent assays (ELISA) were used to measure oxidative stress markers and inflammatory factors in rat lung tissues. Lastly, Western blot analysis was performed to detect Nrf2, HO-1, P-NF-κB, NF-κB, HIF-1α, Bcl-2, and Bax proteins in lung tissues. Results showed that H2S exhibited significant anti-hypoxic effects in various hypoxia models, effectively modulating blood gas and blood routine indicators in ALI rats, reducing pulmonary edema, improving lung tissue pathology, and alleviating oxidative stress, inflammatory responses, and apoptosis levels.
Efficient Production of 4’-Hydroxydihydrochalcones Using Non-Conventional Yeast Strains
Authors: Chlipała Paweł , Bienia Julia , Mazur Marcelina , Dymarska Monika , Janeczko Tomasz
Published: October 2024

The quest for novel therapeutic agents has rekindled interest in natural products, particularly those derived from biotransformation processes. Dihydrochalcones, a class of plant secondary metabolites, exhibit a range of pharmacological properties. Chalcone and dihydrochalcone compounds with the characteristic 4’-hydroxy substitution are present in ‘dragon’s blood’ resin, known for its traditional medicinal uses and complex composition, making the isolation of these compounds challenging. This study investigates the efficient production of 4′-hydroxydihydrochalcones using non-conventional yeast strains. We evaluated the biotransformation efficiency of various 4′-hydroxychalcone substrates utilizing yeast strains such as Yarrowia lipolytica KCh 71, Saccharomyces cerevisiae KCh 464, Rhodotorula rubra KCh 4 and KCh 82, and Rhodotorula glutinis KCh 242. Our findings revealed that Yarrowia lipolytica KCh 71, Rhodotorula rubra KCh 4 and KCh 82, and Rhodotorula glutinis KCh 242 exhibited the highest conversion efficiencies, exceeding 98% within one hour for most substrates. The position of methoxy substituents in the chalcone ring significantly influenced hydrogenation efficiency. Moreover, we observed isomerization of trans-4′-hydroxy-2-methoxychalcone to its cis isomer, catalyzed by light exposure. This study underscores the potential of using yeast strains for the sustainable and efficient production of dihydrochalcones, providing a foundation for developing new therapeutic agents and nutraceuticals.
StEPF2 and StEPFL9 Play Opposing Roles in Regulating Stomatal Development and Drought Tolerance in Potato (Solanum tuberosum L.)
Authors: Kang Le , Liu Junke , Zhu Hongqing , Liao Leqin , Ye Muying , Wei Yun , Liu Nairong , Ke Qingbo , Kim Ho Soo , Kwak Sang-Soo , Zhou Quanlu
Published: October 2024

Stomata are essential for photosynthesis and water-use efficiency in plants. When expressed in transgenic Arabidopsis thaliana plants, the potato (Solanum tuberosum) proteins EPIDERMAL PATTERNING FACTOR 2 (StEPF2) and StEPF-LIKE9 (StEPFL9) play antagonistic roles in regulating stomatal density. Little is known, however, about how these proteins regulate stomatal development, growth, and response to water deficit in potato. Transgenic potato plants overexpressing StEPF2 (E2 plants) or StEPFL9 (ST plants) were generated, and RT-PCR and Western blot analyses were used to select two lines overexpressing each gene. E2 plants showed reduced stomatal density, whereas ST plants produced excessive stomata. Under well-watered conditions, ST plants displayed vigorous growth with improved leaf gas exchange and also showed increased biomass/yields compared with non-transgenic and E2 plants. E2 plants maintained lower H2O2 content and higher levels of stomatal conductance and photosynthetic capacity than non-transgenic and ST plants, which resulted in higher water-use efficiency and biomass/yields during water restriction. These results suggest that StEPF2 and StEPFL9 functioned in pathways regulating stomatal development. These genes are thus promising candidates for use in future breeding programs aimed at increasing potato water-use efficiency and yield under climate change scenarios.
Diagnostic Utility of Copeptin in Pediatric Patients with Polyuria-Polydipsia Syndrome: A Systematic Review and Meta-Analysis
Authors: Ciortea Diana-Andreea , Petrea (Cliveți) Carmen Loredana , Bujoreanu Bezman Laura , Vivisenco Iolanda Cristina , Berbece Sorin Ion , Gurău Gabriela , Matei Mădălina Nicoleta , Nechita Aurel
Published: October 2024

Pediatric patients with polyuria polydipsia syndrome (PPS) represent a diagnostic challenge for clinicians because of the technical difficulties in performing the gold standard water deprivation test (WDT). Copeptin, a stable biomarker representing the C-terminal portion of the polypeptide chain of the antidiuretic hormone, is a reliable diagnostic tool. To assess the diagnostic accuracy of baseline copeptin dosing, arginine/hypertonic saline copeptin stimulation tests, and WDT. This study aimed to establish the diagnostic utility of copeptin in pediatric patients by distinguishing between central diabetes insipidus, nephrogenic diabetes insipidus, and primary polydipsia. Comparative and non-comparative primary studies published between January 2018 and August 2024 focusing on children were searched and included in PubMed, Cochrane Library, Web of Science, ScienceDirect, Scopus, and Google Scholar. The QUADAS-2 tool was used to assess the risk of bias and applicability. Meta-analyses used fixed effects models because of low heterogeneity and the HSROC model. Eleven studies were included with an overall low bias and no significant applicability concerns. The mean pooled sensitivity = 0.98 (95% CI: 0.936–1.025), pooled specificity = 0.947 (95% CI: 0.920–0.973), and AUC = 0.972 (95% CI: 0.952–0.992), indicating excellent diagnostic accuracy. Stimulation methods for copeptin dosing represent an effective and less invasive diagnostic test for children with PPS, and future development of standard copeptin testing protocols is needed.
Analysis of the Setomimycin Biosynthetic Gene Cluster from Streptomyces nojiriensis JCM3382 and Evaluation of Its α-Glucosidase Inhibitory Activity Using Molecular Docking and Molecular Dynamics Simulations
Authors: Hyun Kyung-A , Liang Xuhui , Xu Yang , Kim Seung-Young , Boo Kyung-Hwan , Park Jin-Soo , Chi Won-Jae , Hyun Chang-Gu
Published: October 2024

The formation of atroposelective biaryl compounds in plants and fungi is well understood; however, polyketide aglycone synthesis and dimerization in bacteria remain unclear. Thus, the biosynthetic gene cluster (BGC) responsible for antibacterial setomimycin production from Streptomyces nojiriensis JCM3382 was examined in comparison with the BGCs of spectomycin, julichromes, lincolnenins, and huanglongmycin. The setomimycin BGC includes post-polyketide synthase (PKS) assembly/cycling enzymes StmD (C-9 ketoreductase), StmE (aromatase), and StmF (thioesterase) as key components. The heterodimeric TcmI-like cyclases StmH and StmK are proposed to aid in forming the setomimycin monomer. In addition, StmI (P-450) is predicted to catalyze the biaryl coupling of two monomeric setomimycin units, with StmM (ferredoxin) specific to the setomimycin BGC. The roles of StmL and StmN, part of the nuclear transport factor 2 (NTF-2)-like protein family and unique to setomimycin BGCs, could particularly interest biochemists and combinatorial biologists. α-Glucosidase, a key enzyme in type 2 diabetes, hydrolyzes carbohydrates into glucose, thereby elevating blood glucose levels. This study aimed to assess the α-glucosidase inhibitory activity of EtOAc extracts of JCM 3382 and setomimycin. The JCM 3382 EtOAc extract and setomimycin exhibited greater potency than the standard inhibitor, acarbose, with IC50 values of 285.14 ± 2.04 μg/mL and 231.26 ± 0.41 μM, respectively. Molecular docking demonstrated two hydrogen bonds with maltase-glucoamylase chain A residues Thr205 and Lys480 (binding energy = −6.8 kcal·mol−1), two π–π interactions with Trp406 and Phe450, and one π–cation interaction with Asp542. Residue-energy analysis highlighted Trp406 and Phe450 as key in setomimycin’s binding to maltase-glucoamylase. These findings suggest that setomimycin is a promising candidate for further enzymological research and potential antidiabetic therapy.
Differential Protein Expression in Extracellular Vesicles Defines Treatment Responders and Non-Responders in Multiple Sclerosis
Authors: Torres Iglesias Gabriel , López-Molina MariPaz , Botella Lucía , Laso-García Fernando , Chamorro Beatriz , Fernández-Fournier Mireya , Puertas Inmaculada , Bravo Susana B. , Alonso-López Elisa , Díez-Tejedor Exuperio , Gutiérrez-Fernández María , Otero-Ortega Laura
Published: October 2024

Multiple sclerosis (MS) remains the leading cause of neurological disability among young adults worldwide, underscoring the urgent need to define the best therapeutic strategy. Recent advances in proteomics have deepened our understanding of treatment mechanisms and revealed promising biomarkers for predicting therapeutic outcomes. This study focuses on the identification of a protein profile of circulating extracellular vesicles (EVs) derived from neurons, oligodendrocytes, and B and T cells able to differentiate treatment responders and non-responders in 80 patients with MS. In the patients who responded to treatment, T cell-derived EVs were enriched in LV151, a protein involved in the promotion of anti-inflammatory cytokines, whereas Bcell-derived EVs showed elevated PSMD6 and PTPRC, related to immunoproteasome function. Oligodendrocyte- and neuron-derived EVs showed upregulated CO6A1 and COEA1, involved in extracellular matrix reorganisation, as well as LAMA5, NonO, SPNT, and NCAM, which are critical for brain repair. In contrast, non-responders showed higher levels of PSMD7 and PRS10 from B cell-derived EVs, associated with DNA damage, and increased levels of PERM and PERL from T cell-derived EVs, linked to nuclear factor kappa B activation and drug-resistant proteins such as HS90A and RASK. These findings highlight a distinct panel of proteins in EVs that could serve as an early indicator of treatment efficacy in MS.
OXY-SCORE and Volatile Anesthetics: A New Perspective of Oxidative Stress in EndoVascular Aneurysm Repair—A Randomized Clinical Trial
Authors: Burgos-Santamaría Alba , Rodríguez-Rodríguez Pilar , Arnalich-Montiel Ana , Arribas Silvia M. , Fernández-Riveira Carmen , Barrio-Pérez I. María , Río Javier , Ligero José Manuel , Quintana-Villamandos Begoña
Published: October 2024

An aortic aneurysm (AA) is a life-threatening condition. Oxidative stress may be a common pathway linking multiple mechanisms of an AA, including vascular inflammation and metalloproteinase activity. Endovascular aneurysm repair (EVAR) is the preferred surgical approach for AA treatment. During surgery, inflammation and ischemia–reperfusion injury occur, and reactive oxygen species (ROS) play a key role in their modulation. Increased perioperative oxidative stress is associated with higher postoperative complications. The use of volatile anesthetics during surgery has been shown to reduce oxidative stress. Individual biomarkers only partially reflect the oxidative status of the patients. A global indicator of oxidative stress (OXY-SCORE) has been validated in various pathologies. This study aimed to compare the effects of the main volatile anesthetics, sevoflurane and desflurane, on oxidative status during EVAR. Eighty consecutive patients undergoing EVAR were randomized into two groups: sevoflurane and desflurane. Plasma biomarkers of oxidative damage (protein carbonylation and malondialdehyde) and antioxidant defense (total thiols, glutathione, nitrates, superoxide dismutase, and catalase activity) were measured before surgery and 24 h after EVAR. The analysis of individual biomarkers showed no significant differences between the groups. However, the OXY-SCORE was positive in the desflurane group (indicating a shift towards antioxidants) and negative in the sevoflurane group (favoring oxidants) (p < 0.044). Compared to sevoflurane, desflurane had a positive effect on oxidative stress during EVAR. The OXY-SCORE could provide a more comprehensive perspective on oxidative stress in this patient population.
Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia
Authors: Wang Li , Zhang Song
Published: October 2024

Exercise is increasingly recognized as an effective strategy to counteract skeletal muscle aging and conditions such as sarcopenia. However, the specific exercise-induced genes responsible for these protective effects remain unclear. To address this, we conducted an eight-week aerobic exercise regimen on late-middle-aged mice and developed an integrated approach that combines mouse exercise-induced genes with human GWAS datasets to identify causal genes for sarcopenia. This approach led to significant improvements in the skeletal muscle phenotype of the mice and the identification of exercise-induced genes and miRNAs. By constructing a miRNA regulatory network enriched with transcription factors and GWAS signals related to muscle function and traits, we focused on 896 exercise-induced genes. Using human skeletal muscle cis-eQTLs as instrumental variables, 250 of these exercise-induced genes underwent two-sample Mendelian randomization analysis, identifying 40, 68, and 62 causal genes associated with sarcopenia and its clinical indicators—appendicular lean mass (ALM) and hand grip strength (HGS), respectively. Sensitivity analyses and cross-phenotype validation confirmed the robustness of our findings. Consistently across the three outcomes, RXRA, MDM1, RBL2, KCNJ2, and ADHFE1 were identified as risk factors, while NMB, TECPR2, MGAT3, ECHDC2, and GINM1 were identified as protective factors, all with potential as biomarkers for sarcopenia progression. Biological activity and disease association analyses suggested that exercise exerts its anti-sarcopenia effects primarily through the regulation of fatty acid oxidation. Based on available drug–gene interaction data, 21 of the causal genes are druggable, offering potential therapeutic targets. Our findings highlight key genes and molecular pathways potentially responsible for the anti-sarcopenia benefits of exercise, offering insights into future therapeutic strategies that could mimic the safe and mild protective effects of exercise on age-related skeletal muscle degeneration.
Heading Date 3a Stimulates Tiller Bud Outgrowth in Oryza sativa L. through Strigolactone Signaling Pathway
Authors: Zheng Qiqi , Zhou Zejiao , Li Xinran , Lan Yingshan , Huang Ruihua , Zhang Shengchun , Li Hongqing
Published: October 2024

Heading date 3a (Hd3a, a FLOWERING LOCUS T (FT) ortholog from rice) is well known for its important role in rice (Oryza sativa L.), controlling floral transition under short-day (SD) conditions. Although the effect of Hd3a on promoting branching has been found, the underlying mechanism remains largely unknown. In this report, we overexpressed an Hd3a and BirAG (encoding a biotin ligase) fusion gene in rice, and found that early flowering and tiller bud outgrowth was promoted in BHd3aOE transgenic plants. On the contrary, knockout of Hd3a delayed flowering and tiller bud outgrowth. By using the BioID method, we identified multiple Hd3a proximal proteins. Among them, D14, D53, TPR1, TPR2, and TPRs are central components of the strigolactone signaling pathway, which has an inhibitory effect on rice tillering. The interaction between Hd3a, on the one hand, and D14 and D53 was further confirmed by the bimolecular fluorescence complementation (BiFC), yeast two-hybrid (Y2H), and co-immunoprecipitation (Co-IP) methods. We also found that Hd3a prevented the degradation of D53 induced by rac-GR24 (a strigolactone analog) in rice protoplasts. RT-qPCR assay showed that the expression levels of genes involved in strigolactone biosynthesis and signal transduction were altered significantly between WT and Hd3a overexpression (Hd3aOE) or mutant (hd3a) plants. OsFC1, a downstream target of the strigolactone signaling transduction pathway in controlling rice tillering, was downregulated significantly in Hd3aOE plants, whereas it was upregulated in hd3a lines. Collectively, these results indicate that Hd3a promotes tiller bud outgrowth in rice by attenuating the negative effect of strigolactone signaling on tillering and highlight a novel molecular network regulating rice tiller outgrowth by Hd3a.
Anti-Inflammatory Effect of Deep-Sea Mineral Water on LPS-Induced Inflammation in Raw 264.7 Murine Macrophage Cells and Zebrafish Larvae
Authors: Wijerathna Hitihami M. S. M. , Vileka Jayamali Bulumulle P. M. , Moon Deok-Soo , Kim Choong-Gon , Jung Sumi , Lee Jehee
Published: October 2024

Deep-sea mineral water (DSW) consists of different compositions and properties. The composition can be varied in different seas all around the world. However, previous studies have investigated that DSW is a potential candidate that can be used to prevent different inflammatory diseases. Even though inflammation is an important protective mechanism in an animal, excessive inflammation causes organ failure and ultimate death. Therefore, the present study was carried out to investigate the anti-inflammatory effect of DSW extracted from the South Korean Sea to unveil its potential as an anti-inflammatory drug. To perform this, first, we have compared the cytotoxic effect of DSW on RAW 264.7 murine macrophage cells with NaCl and normal-sea water (NSW). Results reveal that DSW enhances cell survival while other treatments negatively affect cell survival. Furthermore, we have investigated that DSW reduces the LPS-induced cell apoptosis compared to the NaCl- and NSW-treated cells. Moreover, DSW has the ability to suppress the pro-inflammatory cytokine transcription (TNF-α, IL-1β, and IL-6) and NO production upon LPS treatment. In-vivo survival assay in zebrafish larvae shows a more than 50% survival rate in 10, 20, 30, 40, or 50% concentrations of DSW-treated larvae compared to NaCl- or NSW-treated larvae. Further investigations unveiled that DSW can negatively regulate the neutrophil and macrophage recruitment to the inflammatory site, which was induced by fin-fold amputation in zebrafish larvae and pro-inflammatory cytokine (tnf-α, il-1β, and il-6) secretion. Taken together, the present study concluded that DSW may have the ability to act as an anti-inflammatory drug to suppress excessive inflammation and subsequent consequences.
Pneumonia Image Classification Using DenseNet Architecture
Authors: Bundea Mihai , Danciu Gabriel Mihail
Published: October 2024

Pulmonary diseases, including pneumonia, represent a significant health challenge and are often diagnosed using X-rays. This study investigates the effectiveness of artificial intelligence (AI) in enhancing the diagnostic capabilities of X-ray imaging. Using Python and the PyTorch framework, we developed and trained several deep learning models based on DenseNet architectures (DenseNet121, DenseNet169, and DenseNet201) on a dataset comprising 5856 annotated X-ray images classified into two categories: Normal (Healthy) and Pneumonia. Each model was evaluated on its ability to classify images with metrics including binary accuracy, sensitivity, and specificity. The results demonstrated accuracy rates of 92% for Normal and 97% for Pneumonia. The models also showed significant improvements in diagnostic accuracy and reduced time for disease detection compared to traditional methods. This study underscores the potential of integrating convolutional neural networks (CNNs) with medical imaging to enhance diagnostic precision and support clinical decision-making in the management of pulmonary diseases. Further research is encouraged to refine these models and explore their application in other medical imaging domains.
Design and Development Model of a Web Accessibility Ecosystem
Authors: Bogdanova Galina , Todorov Todor , Dochkova-Todorova Juliana , Noev Nikolay , Sabev Negoslav
Published: October 2024

The article examines issues of web accessibility ecosystems for people with special needs. Methods, models, accessibility standards, and technologies related to the structure, design, and functionality of the web accessibility ecosystem are studied. The stages of developing an accessibility ecosystem are explored. The accessibility of the design, functionalities, structure, and content of a particular ecosystem are presented. Several themes for the design of the system with an emphasis on its accessibility for blind users are explored and analyzed. UX/UI design and the ontological model of accessibility, used in the implementation of the model of the ecosystem and its elements, are studied. A web accessibility ecosystem model has been developed, compliant with the Web Content Accessibility Guidelines and based on semantic technologies. Other qualities of this model are easy access to information resources on the topic of accessibility, convenience for users with different needs, and the possibility of expansion and enrichment in the future.
Using Artificial Intelligence-Based Tools to Improve the Literature Review Process: Pilot Test with the Topic “Hybrid Meat Products”
Authors: Fernández-López Juana , Borrás-Rocher Fernando , Viuda-Martos Manuel , Pérez-Álvarez José Ángel
Published: October 2024

Conducting a literature review is a mandatory initial stage in scientific research on a specific topic. However, this task is becoming much more complicated in certain areas (such as food science and technology) due to the huge increase in the number of scientific publications. Different tools based on artificial intelligence could be very useful for this purpose. This paper addresses this challenge by developing and checking different tools applicated to an emerging topic in food science and technology: “hybrid meat products”. The first tool to be applied was based on Natural Language Processing and was used to select and reduce the initial number of papers obtained from a traditional bibliographic search (using common scientific databases such as Web Science and Scopus) from 938 to 178 (a 87% reduction). The second tool was a project based on the interplay between Retrieval-Augmented Generation (RAG) and LLAMA 3, which was used to answer key questions relating to the topic under review (“hybrid meat products”) but limiting the context to the scientific review obtained after applying the first AI tool. This new strategy for reviewing scientific literature could be a major advance on from the traditional literature review procedure, making it faster, more open, more accessible to everyone, more effective, more objective, and more efficient—all of which help to fulfill the principles of open science.
Assessing the Impact of Recycled Concrete Aggregates on the Fresh and Hardened Properties of Self-Consolidating Concrete for Structural Precast Applications
Authors: Castano Juan E. , Abdel-Mohti Ahmed
Published: October 2024

This study explores the influence of different concentrations of recycled concrete aggregate (RCA) on the fresh and hardened properties of self-consolidating concrete (SCC) in order to assess the structural suitability of the use of RCA in a precast concrete plant. The study particularly emphasizes the early strength of the produced concrete. The RCA was sourced from crushed concrete used in roadway applications and was sieved to replicate the characteristics of natural aggregate. Five different SCC mixes were produced, with RCA substituting 0%, 10%, 30%, 50%, and 70% of the natural coarse aggregate (NCA) by weight. For each different mix design, the hardened properties tested were the compressive strength and tensile strength. The fresh properties investigated were the passing and filling ability. Additionally, aggregate properties including grain size distribution and absorption of coarse aggregate were studied. The selected mix design follows a typical well-graded self-consolidating concrete mix with 28-day strength of 8000 psi (55.16 MPa). It was found that replacing up to 50% of the NCA with RCA improves the early strength of concrete without a significant impact on the fresh and hardened concrete properties.
Sex-Specific Perching: Monitoring of Artificial Plants Reveals Dynamic Female-Biased Perching Behavior in the Black Soldier Fly, Hermetia illucens (Diptera: Stratiomyidae)
Authors: Lemke Noah B. , Rollison Lisa N. , Tomberlin Jeffery K.
Published: October 2024

Artificial perches are implemented by many companies that mass-rear the black soldier fly (BSF), to emulate a natural breeding environment or provide additional surface area for flies to rest; however, basic information about perching behavior is lacking. This experiment tested the effect of adding 0.00, 0.04, 0.26, or 0.34 m2 of surface area to 0.93 m3 cages, each supplied with 90 male and 90 female adults. Female thoraxes marked with acrylic paint, and the number of perching flies of each sex were recorded over 6 d. A time-series analysis revealed the following: (a) females utilized perches 1.42 times more often than males across two trials; (b) especially in the morning where the difference could be as high as 2.56 times as great; (c) this decreased to 0.20–1.57 times more females than males by 1600 h; and (d) this cyclical pattern repeated each day throughout the week with a decreasing female-bias, starting from 2.41-times more females on day 1, which fell to 0.88–1.98-times more females than males on day 6. These dynamics are likely due to the presence of male flies engaging in aerial contests near ultraviolet lamps required for mating, especially during the early hours and early adulthood, aligning with and expanding prior knowledge of black soldier fly mating behavior.
Association between Left Atrial Function and Survival in Systemic Sclerosis
Authors: Giucă Adrian , Galloo Xavier , Meucci Maria Chiara , Butcher Steele C. , Popescu Bogdan Alexandru , Jurcuț Ruxandra , Săftoiu Adrian , Jurcuț Ciprian , Groșeanu Laura , Mușetescu Anca Emanuela , Ahmed Saad , De Vries-Bouwstra Jeska , Bax Jeroen J. , Ajmone Marsan Nina
Published: October 2024

Systemic sclerosis (SSc) is a multisystemic autoimmune disorder in which cardiac involvement is frequent and portends negative prognosis. Left ventricular (LV) diastolic dysfunction is one of the most common cardiac alterations in these patients, and left atrial (LA) reservoir strain (ƐR) measurement using speckle tracking echocardiography has been proposed as a novel parameter for a better assessment of LV diastolic function. Therefore, the aim of this study was to test the prognostic value of ƐR in a large multicenter cohort of SSc patients. In total, 311 SSc patients (54 ± 14 years, 85% female) were included from two different centers. Echocardiography was performed at the time of first visit, including ƐR measurement. Over a median follow-up of 132 (interquartile range: 110 to 157) months, 67 (21.5%) patients experienced the outcome of all-cause mortality. Spline curve analysis identified an optimal cut-off value of 30% for ƐR, and patients with ƐR ≤ 30% showed a 10-year cumulative survival rate of 71% as compared to 88% for patients with ƐR > 30% (log-rank p < 0.001). At the multivariable Cox regression analysis, ƐR was independently associated with the endpoint (HR 1.830; 95% confidence interval (CI) 1.031–3.246; p = 0.039) together with age (HR 1.071, 95% CI 1.043 to 1.099; p < 0.001), sex (female) (HR 0.444, 95% CI 0.229 to 0.861; p = 0.016), and diffusing lung capacity for carbon monoxide (HR 0.969 95% CI 0.956 to 0.982; p < 0.001). ƐR is of independent prognostic value in SSc and might help optimizing risk stratification in these patients.
Combined Use of GDF-15 and NT-Pro BNP for Outcome Prediction in Patients with Acute Heart Failure
Authors: Płonka Joanna , Klus Anna , Wężyk Natalia , Dąbrowska Klaudia , Rzepiela Lidia , Gawrylak-Dryja Ewa , Nalewajko Krzysztof , Feusette Piotr , Gierlotka Marek
Published: October 2024

Background: Acute heart failure (AHF) is characterized by a complex pathophysiology. Aims: This study aimed to evaluate the usefulness of combined serial measurements of N-terminal pro-B-type natriuretic peptide (NT-pro BNP) and growth differentiation factor 15 (GDF-15) for predicting long-term outcomes in patients with AHF. Methods: This study included 104 consecutive patients hospitalized due to AHF. The mean (SD) age was 65 (±15) years. Blood samples were collected on admission, at discharge, and at a 30-day follow-up visit. The primary composite endpoint was all-cause mortality or rehospitalization due to heart failure (HF) at 1-year follow-up. Results: During follow-up, the primary endpoint occurred in 31 persons. In the ROC analysis, the optimal cut-off values of GDF-15 for predicting the outcome were 5115.5 pg/mL on admission, 4145 pg/mL at discharge, and 4218.5 pg/mL at the 30-day visit. For NT-pro BNP, the optimal cut-off reached 6011 ng/L, 1250 ng/L, and 1456.5 ng/L, respectively. Patients with both GDF-15 and NT-pro BNP levels above the cut-off value had a higher risk of the primary composite endpoint than patients with only one or none of the biomarkers elevated at three time points. At the 30-day visit, the model combining NT-pro BNP and GDF-15 showed the highest predictive value for the primary composite endpoint (area under the curve, 0.75). Conclusions: Combined serial measurements of NT-pro BNP and GDF-15 outperform single measurements in outcome prediction at 1-year follow-up in patients with AHF. The repetitive combined model may serve as a useful risk assessment tool and facilitate decision-making during long-term observation.
Present and Future Applications of Artificial Intelligence in Kidney Transplantation
Authors: Kotsifa Evgenia , Mavroeidis Vasileios K.
Published: October 2024

Artificial intelligence (AI) has a wide and increasing range of applications across various sectors. In medicine, AI has already made an impact in numerous fields, rapidly transforming healthcare delivery through its growing applications in diagnosis, treatment and overall patient care. Equally, AI is swiftly and essentially transforming the landscape of kidney transplantation (KT), offering innovative solutions for longstanding problems that have eluded resolution through traditional approaches outside its spectrum. The purpose of this review is to explore the present and future applications of artificial intelligence in KT, with a focus on pre-transplant evaluation, surgical assistance, outcomes and post-transplant care. We discuss its great potential and the inevitable limitations that accompany these technologies. We conclude that by fostering collaboration between AI technologies and medical practitioners, we can pave the way for a future where advanced, personalised care becomes the standard in KT and beyond.