bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Dietary Chlorogenic Acid on the Growth, Lipid Metabolism, Antioxidant Capacity, and Non-Specific Immunity of Asian Swamp Eel (Monopterus albus)
Authors: Yang Hang , Wu Chengcheng , Yuan Quan , Lv Weiwei , Qiu Junqiang , Li Mingyou , Zhang Qinghua , Zhou Wenzong
Published: December 2024

To investigate the dietary effects of chlorogenic acid (CGA) on the growth performance, lipid metabolism, antioxidant activity, and non-specific immunity of Asian swamp eel (Monopterus albus) during the domestication stage, a 28-day feeding experiment was conducted to supplement with CGA at levels of 0 (Cont.), 250 (CGA 0.50%), 500 (CGA 1.00%), and 750 (CGA 1.50%) mg/kg·bw by feeding with yellow mealworm (Tenebrio molitor). Compared with the control group, the addition of 250–750 mg/kg of CGA significantly increased the weight-gain rate (WG) of M. albus, and the CGA 1.0% group displayed the highest value. The content of hemoglobin and high-density lipoprotein in all CGA groups was markedly elevated (p < 0.05), while the triglyceride, glucose, low-density lipoprotein, and glycosylated serum protein levels were lowered (p < 0.05). Among the antioxidant enzymes, the glutathione peroxidase and catalase activity was significantly higher in all experimental groups than that of the control group, whereas the malondialdehyde activity was significantly reduced (p < 0.05). For a non-specific immune enzyme system, the lysozyme and alkaline phosphatase activity in all treatments and the superoxide dismutase and acid phosphatase activity in the CGA 0.5% group was markedly increased (p < 0.05). In conclusion, supplementation with CGA can enhance the growth performance and improve the lipid metabolism, antioxidant capacity, and non-specific immunity of M. albus during the domestication stage, and the optimal CGA supplementation for T. molitor as biocarrier bait is 500 mg/kg, corresponding to 405 mg/kg.
Complementary Metal Oxide Semiconductor Circuit Realization of Inverse Chebyshev Low-Pass Filter of Order (1 + α)
Authors: Nettar Soubhagyaseetha , Kilingar Shankaranarayana , Killuru Chandrika B. , Kamath Dattaguru V.
Published: December 2024

This paper presents the CMOS circuit realization of a low-pass Inverse Chebyshev fractional-order filter (FOF) of order (1 + α) using the inverse-follow-the-leader feedback (IFLF) topology. A nonlinear least squares optimization routine is used to determine the coefficients of the fractional-order transfer function to approximate the stop-band characteristics. The Inverse Chebyshev FOF of orders 1.3, 1.6, and 1.9 using cross-coupled operational transconductance amplifier (OTA) was designed in united microelectronics corporation (UMC) 180 nm complementary metal–oxide–semiconductor process. The MATLAB and Cadence Spectre simulations are used to validate the implementation of the fractional-order filter of orders 1.3, 1.6 and 1.9. The dynamic range (DR) of the filter is found to be 83.04 dB, 86.13 dB, and 84.71 dB, respectively, for order of 1.3, 1.6, and 1.9. The simulation results such as magnitude response, transient plot, Monte Carlo, and PVT plots, have justified the design accuracy.
Uniaxial Compressive Failure Characteristics and Fractal Analysis of Mud–Sand Composite Rock Samples Based on Acoustic Emission Tests
Authors: Zhao Changzheng , Cao Shenggen , Lang Shihui , Du Shuyu , Che Chiyuan
Published: December 2024

In order to study the influence of rock combination types on their mechanical properties and failure characteristics, uniaxial compression tests of single rock samples and combined rock samples were conducted. Acoustic emission (AE) signals during the test process were collected, and the differences in AE signals of single rock samples and combined rock samples were studied based on the fractal theory. The results showed that the peak strength, elastic modulus, peak strain, and failure degree of the combined rock samples are all between those of the two single rock samples. The AE ringing count gradually increases with the loading process and suddenly increases to the maximum when the rock sample fails. During this process, the phase trajectory volume corresponding to the ringing count shows an evolution law of first decreasing and then increasing, while the correlation dimension corresponding to the ringing count signal shows an overall evolution law of first increasing and then decreasing. The results indicate that the phase trajectory volume, correlation dimension, and crack changes have a consistent dynamic change. Therefore, the phase trajectory and correlation dimension are effective tools to describe the pore change characteristics of rock combinations.
Finite-Time Resource Allocation Algorithm for Networked Fractional Nonlinear Agents
Authors: Ao Qingxiang , Li Cheng , Yuan Jiaxin , Yang Xiaole
Published: December 2024

This paper investigates finite-time resource allocation problems (RAPs) for uncertain nonlinear fractional-order multi-agent systems (FOMASs), considering global equality and local inequality constraints. Each agent is described by high-order dynamics with multiple-input multiple-output and only knows its local objective function. Due to the characteristics of dynamic systems, the outputs of agents are inconsistent with their inputs, making it challenging to satisfy the inequality constraints when solving RAPs. To address this complex optimization control problem, a novel hierarchical algorithm is proposed, consisting of a distributed estimator and a local controller. Specifically, the distributed estimator is established by adopting the ϵ-exact penalty function and the gradient descent method. This estimator enables the system states to reach the optimal solution of RAPs within a finite time. Furthermore, the local controller is presented based on the fractional-order tracking differentiator and adaptive neural control approach. Under this controller, the system states are slaved to track the optimal signals generated by the estimator within a finite time. In both the estimator and controller algorithms, the finite-time stability is uniformly guaranteed with the help of Lyapunov functions. Finally, the effectiveness of our algorithm is demonstrated through three simulation examples.
End Behavior of the Threshold Protocol Game on Complete and Bipartite Graphs
Authors: Fedrigo Alexandra
Published: December 2024

The threshold protocol game is a graphical game that models the adoption of an idea or product through a population. There are two states players may take in the game, and the goal of the game is to motivate the state that begins in the minority to spread to every player. Here, the threshold protocol game is defined, and existence results are studied on infinite graphs. Many generalizations are proposed and applied. This work explores the impact of graph topology on the outcome of the threshold protocol game and consequently considers finite graphs. By exploiting the well-known topologies of complete and complete bipartite graphs, the outcome of the threshold protocol game can be fully characterized on these graphs. These characterizations are ideal, as they are given in terms of the game parameters. More generally, initial conditions in terms of game parameters that cause the preferred game outcome to occur are identified. It is shown that the necessary conditions differ between non-bipartite and bipartite graphs because non-bipartite graphs contain odd cycles while bipartite graphs do not. These results motivate the primary result of this work, which is an exhaustive list of achievable game outcomes on bipartite graphs. While possible outcomes are identified, it is noted that a complete characterization of when game outcomes occur is not possible on general bipartite graphs.
“What Kind of Migrant Are You?”—Iranian Migrants in the West, Racial Complexity and Myths of Belonging
Authors: Shahbazi Shima
Published: December 2024

In this article, I analyse the complexity of the status of “migrant” in relation to myths of belonging and what we call “home”. I look at status labels that Iranian border-crossers embrace after migrating to the Global North and the ways in which they practice adaptability in accordance with the systemic and structural meanings associated with their migration status and their racial complexity. Ethnic and Racial labels adopted by Iranian migrants can include “Persian”, “Iranian”, “Middle Eastern”, “White”, or “Aryan”, and migration status labels range from “migrant” to “refugees and asylum seekers”, “exiles”, “expats” etc. Using a mixed approach of digital ethnographies, autoethnography and textual analysis, together with an intersectional and decolonial lens, I investigate the ways in which migration status such as skilled categories are associated with not only “fitting” into the neoliberal and capitalist systems of border crossing but also “blending” into racial hierarchies and maintaining class status post migration within White contexts. This article takes an empathetic approach to the lived experiences of minority and racially complex migrants and emphasises the epistemic value of their narratives and the ways in which these stories can inform us about the covert systemic structural and racially loaded bias that exists within migration economies of the Global North.
Comparative and Adaptive Analyses of the Complete Chloroplast Genome Diversity in Sium serra
Authors: Park SeongJun , Park SeonJoo
Published: December 2024

Background/Objectives: Sium serra is distributed in Korea, China, and Japan. It was first identified as the genus Pimpinella and then reclassified as Sium by Kitagawa. Some Sium species are used as herbal medicine and are often confused with the similar form Ligusticum sinense. In this study, we analyzed the cp genome of S. serra and conducted comparative analyses with the cp genomes of related taxa. Methods: We extracted gDNA from fresh leaves and sequenced it using Illumina HiSeq2500. For the chloroplast genome assembly, de novo assembly was performed using Velvet v1.2.07. For the annotation, GeSeq and NCBI BLASTN were used. Afterwards, related taxa were analyzed using programs such as DnaSP and MISA. Results: S. serra was excluded from the study on the chloroplast (cp) genome in Sium because it was classified as Pimpinella in China. Therefore, this study aimed to analyze the cp genome of S. serra for the first time and its location within the genus Sium. The complete cp genome of S. serra was 154,755 bp in length, including a pair of inverted repeats, each 26,255 bp, a large single-copy region of 84,581 bp, and a small single-copy region of 17,664 bp. The cp genome comprised 79 protein-coding, 30 tRNA, and 4 rRNA genes. Furthermore, six regions of high nucleotide diversity were identified in the genus Sium. In the genus Sium, 1630 repeats that can serve as markers were also identified. Eight protein-coding genes with high KA/KS values were under positive selection in the Sium. Our phylogenetic analyses suggest that S. serra was positioned with high bootstrap support within the Sium of the tribe Oenantheae, specifically in the southern Palearctic subclade. Conclusions: In this study, the S. serra chloroplast genome was sequenced and assembled. The genus Sium formed a monophyletic group; however, as not all the Sium species were included in this study, further research is necessary. This study can serve as foundational data not only for Sium but also for the tribe Oenantheae.
Recognition and Classification of Typical Building Shapes Based on YOLO Object Detection Models
Authors: Wang Xiao , Qian Haizhong , Xie Limin , Wang Xu , Li Bohao
Published: December 2024

The recognition and classification of building shapes are the prerequisites and foundation for building simplification, matching, and change detection, which have always been important research problems in the field of cartographic generalization. Due to the ambiguity and uncertainty of building shape outlines, it is difficult to describe them using unified rules, which has always limited the quality and automation level of building shape recognition. In response to the above issues, by introducing object detection technology in computer vision, this article proposes a building shape recognition and classification method based on the YOLO object detection model. Firstly, for different types of buildings, four levels of building training data samples are constructed, and YOLOv5, YOLOv8, YOLOv9, and YOLOv9 integrating attention modules are selected for training. The trained models are used to test the shape judgment of buildings in the dataset and verify the learning effectiveness of the models. The experimental results show that the YOLO model can accurately classify and locate the shape of buildings, and its recognition and detection effect have the ability to simulate advanced human visual cognition, which provides a new solution for the fuzzy shape recognition of buildings with complex outlines and local deformation.
Indoxyl Sulfate and Autism Spectrum Disorder: A Literature Review
Authors: Hill Zoë R. , Flynn Christina K. , Adams James B.
Published: December 2024

Indoxyl sulfate—a bacterially derived metabolite—has been identified as a toxin that is elevated in children with autism spectrum disorder (ASD). As a neurotoxin, uremic toxin, nephrotoxin, cardiotoxin, osteotoxin, and myotoxin, indoxyl sulfate has been associated with several other conditions, including chronic kidney disease, acute kidney injury, Parkinson’s disease, cognitive disorders, and mood disorders such as anxiety and depression. Indoxyl sulfate is derived from bacterial modification of host tryptophan, and elevated levels of indoxyl sulfate are associated with decreased levels of important neurotransmitters including serotonin, dopamine, and norepinephrine. This article will review what is currently known about indoxyl sulfate in relation to ASD and its comorbidities. A systematic review identified six studies of levels of indoxyl sulfate in children with ASD. All six studies found that indoxyl sulfate was significantly elevated in the urine of children with ASD compared to typically developing children. Through this review, indoxyl sulfate was identified as a toxic microbially derived metabolite that is significantly increased in a subset of children with ASD and may contribute to both core and co-morbid ASD symptoms.
GH3 Gene Family Identification in Chinese White Pear (Pyrus bretschneideri) and the Functional Analysis of PbrGH3.5 in Fe Deficiency Responses in Tomato
Authors: Wei Pengfei , Guo Guoling , Shen Taijing , Luo Anran , Wu Qin , Zhou Shanshan , Tang Xiaomei , Liu Lun , Ye Zhenfeng , Zhu Liwu , Jia Bing
Published: December 2024

Iron (Fe) deficiency poses a major threat to pear (Pyrus spp.) fruit yield and quality. The Gretchen Hagen 3 (GH3) plays a vital part in plant stress responses. However, the GH3 gene family is yet to be characterized, and little focus has been given to the function of the GH3 gene in Fe deficiency responses. Here, we identified 15 GH3 proteins from the proteome of Chinese white pear (Pyrus bretschneideri) and analyzed their features using bioinformatics approaches. Structure domain and motif analyses showed that these PbrGH3s were relatively conserved, and phylogenetic investigation displayed that they were clustered into two groups (GH3 I and GH3 II). Meanwhile, cis-acting regulatory element searches of the corresponding promoters revealed that these PbrGH3s might be involved in ABA- and drought-mediated responses. Moreover, the analysis of gene expression patterns exhibited that most of the PbrGH3s were highly expressed in the calyxes, ovaries, and stems of pear plants, and some genes were significantly differentially expressed in normal and Fe-deficient pear leaves, especially for PbrGH3.5. Subsequently, the sequence of PbrGH3.5 was isolated from the pear, and the transgenic tomato plants with PbrGH3.5 overexpression (OE) were generated to investigate its role in Fe deficiency responses. It was found that the OE plants were more sensitive to Fe deficiency stress. Compared with wild-type (WT) plants, the rhizosphere acidification and ferric reductase activities were markedly weakened, and the capacity to scavenge reactive oxygen species was prominently impaired in OE plants under Fe starvation conditions. Moreover, the expressions of Fe-acquisition-associated genes, such as SlAHA4, SlFRO1, SlIRT1, and SlFER, were all greatly repressed in OE leaves under Fe depravation stress, and the free IAA level was dramatically reduced, while the conjugated IAA contents were notably escalated. Combined, our findings suggest that pear PbrGH3.5 negatively regulates Fe deficiency responses in tomato plants, and might help enrich the molecular basis of Fe deficiency responses in woody plants.
Proteomic Profiling of Pre- and Post-Surgery Saliva of Glioblastoma Patients: A Pilot Investigation
Authors: Muntiu Alexandra , Moresi Fabiana , Vincenzoni Federica , Rossetti Diana Valeria , Iavarone Federica , Messana Irene , Castagnola Massimo , La Rocca Giuseppe , Mazzucchi Edoardo , Olivi Alessandro , Urbani Andrea , Sabatino Giovanni , Desiderio Claudia
Published: December 2024

Glioblastoma multiforme (GBM) is an extremely aggressive brain tumor characterized by a high infiltration capability and recurrence rate. Early diagnosis is crucial to improve the prognosis and to personalize the therapeutic approach. This research explored, by LC-MS proteomic analysis after proteolytic digestion, the molecular profile of pre- and post-operative saliva pools from newly diagnosed (ND) GBM patients by comparing different times of collection and tumor recurrence (R). CYCS, PRDX2, RAB1C, PSMB1, KLK6, TMOD3, PAI2, PLBD1, CAST, and AHNAK, all involved in processes of tumor invasiveness and chemo- and radio-resistance, were found to depict the pre-surgery saliva of both ND and R GBM. PADI4 and CRYAB proteins, identified among the most abundant proteins exclusive of ND GBM pre-surgery saliva and classified as proteins elevated in glioma, could have a potential role as disease biomarkers. Selected panels of S100 proteins were found to potentially differentiate ND from R GBM patient saliva. TPD52 and IGKV3, exclusively identified in R GBM saliva, could be additionally distinctive of tumor relapse. Among the proteins identified in all pools, label-free relative quantitation showed statistically significant different levels of TXN, SERPINB5, FABP5, and S100A11 proteins between the pools. All of these proteins showed higher levels in both ND_ and R_T0 pre-surgery saliva with respect to CTRL and different modulation after surgery or chemo-radiotherapy combined treatment, suggesting a role as a potential panel of GBM predictive and prognostic biomarkers. These results highlight and confirm that saliva, a biofluid featured for an easily accessible and low invasiveness collection, is a promising source of GBM biomarkers, showing new potential opportunities for the development of targeted therapies and diagnostic tools.
Combining Cold Atmospheric Plasma and Environmental Nanoparticle Removal Device Reduces Neurodegenerative Markers
Authors: Menéndez-Coto Nerea , Garcia-Gonzalez Claudia , Baena-Huerta Francisco Javier , Zapata-Pérez Rubén , Rabadán-Ros Rubén , Núñez-Delicado Estrella , González-Llorente Lucía , Caso-Peláez Enrique , Coto-Montes Ana
Published: December 2024

Ageing leads to a gradual deterioration of the organs, with the brain being particularly susceptible, often leading to neurodegeneration. This process includes well-known changes such as tau hyperphosphorylation and beta-amyloid deposition, which are commonly associated with neurodegenerative diseases but are also present in ageing. These structures are triggered by earlier cellular changes such as energy depletion and impaired protein synthesis, both of which are essential for cell function. These changes may in part be induced by environmental pollution, which has been shown to accelerate these processes. Cold Atmospheric Plasma (CAP) or atmospheric pressure gas discharge plasmas have shown promise in activating the immune system and improving cellular function in vitro, although their effects at the organ level remain poorly understood. Our aim in this work is to investigate the effect of a device that combines CAP treatment with the effective removal of environmental nanoparticles, typical products of pollution, on the activity of aged mouse brains. The results showed an increase in energy capacity, a reduction in reticulum stress and an activation of cellular autophagic clearance, minimising aggresomes in the brain. This leads to a reduction in key markers of neurodegeneration such as tau hyperphosphorylation and beta-amyloid deposition, demonstrating the efficacy of the tested product at the brain level.
Gut-Microbiota-Derived Butyric Acid Overload Contributes to Ileal Mucosal Barrier Damage in Late Phase of Chronic Unpredictable Mild Stress Mice
Authors: Wang Chen , Qiu Mei , Wang Shuo , Luo Jinjin , Huang Ling , Deng Qi , Fang Zhijia , Sun Lijun , Gooneratne Ravi
Published: December 2024

Intestinal mucosal barrier damage is regarded as the critical factor through which chronic unpredictable mild stress (CUMS) leads to a variety of physical and mental health problems. However, the exact mechanism by which CUMS induces intestinal mucosal barrier damage is unclear. In this study, 14, 28, and 42 d CUMS model mice were established. The indicators related to ileal mucosal barrier damage (IMBD), the composition of the ileal microbiota and its amino acid (AA) and short-chain fatty acid (SCFA) metabolic functions, and free amino acid (FAA) and SCFA levels in the ileal lumen were measured before and after each stress period. The correlations between them are analyzed to investigate how CUMS induces intestinal mucosal barrier damage in male C57BL/6 mice. With the progression of CUMS, butyric acid (BA) levels decreased (14 and 28 d) and then increased (42 d), and IMBD progressively increased. In the late CUMS stage (42 d), the degree of IMBD is most severe and positively correlated with significantly increased BA levels (p < 0.05) in the ileal lumen and negatively correlated with significantly decreased FAAs, such as aspartic, glutamic, alanine, and glycine levels (p < 0.05). In the ileal lumen, the abundance of BA-producing bacteria (Muribaculaceae, Ruminococcus, and Butyricicoccus) and the gene abundance of specific AA degradation and BA production pathways and their related enzymes are significantly increased (p < 0.05). In addition, there is a significant decrease (p < 0.05) in the abundance of core bacteria (Prevotella, Lactobacillus, Turicibacter, Blautia, and Barnesiella) that rely on these specific AAs for growth and/or are sensitive to BA. These changes, in turn, promote further colonization of BA-producing bacteria, exacerbating the over-accumulation of BA in the ileal lumen. These results were validated by ileal microbiota in vitro culture experiments. In summary, in the late CUMS stages, IMBD is related to an excessive accumulation of BA caused by dysbiosis of the ileal microbiota and its overactive AA degradation.
PER1 Oscillation in Rat Parathyroid Hormone and Calcitonin Producing Cells
Authors: Georg Birgitte , Jørgensen Henrik L. , Hannibal Jens
Published: December 2024

Many endocrine glands exhibit circadian rhythmicity, but the interplay between the central circadian clock in the suprachiasmatic nucleus (SCN), the peripheral endocrine clock, and hormones is sparsely understood. We therefore studied the cellular localizations of the clock protein PER1, parathyroid hormone (PTH) and calcitonin (CT) in the parathyroid and thyroid glands, respectively. Thyroid glands, including the parathyroids, were dissected at different time-points from rats housed in 12 h:12 h light–darkness cycles, and were double-immunostained for PER1 and PTH or CT. Sera were analyzed for PTH, CT, phosphate, and calcium. In both glands, PER1 expression peaked late at night, while limited staining was seen during the daytime. High-resolution microscopy revealed cytosolic PER1 at zeitgeber time (ZT)12, and nucleic staining at ZT24 in both PTH and CT cells. PTH peaked at Z12–ZT16, while neither CT staining nor serum CT oscillated during the daily cycle. Serum PTH was significantly higher at ZT12 than ZT24, but only phosphate was found to exhibit significant diurnal oscillation. The staining of the calcium-sensitive receptor (CSR) did not demonstrate circadian oscillation. In conclusion, PER1 expression peaked late at night/early in the morning in hormone-producing cells of both the thyroid and parathyroid glands. In the parathyroids, this was preceded by a PTH peak, while neither CT nor CRS were found to oscillate.
Exposure of Primary Human Skin Fibroblasts to Carbon Dioxide-Containing Solution Significantly Reduces TGF-β-Induced Myofibroblast Differentiation In Vitro
Authors: Fleckner Maxine , Döhmen Niklas K. , Salz Katharina , Christophers Till , Windolf Joachim , Suschek Christoph V. , Oezel Lisa
Published: December 2024

Wound healing as a result of a skin injury involves a series of dynamic physiological processes, leading to wound closure, re-epithelialization, and the remodeling of the extracellular matrix (ECM). The primary scar formed by the new ECM never fully regains the original tissue’s strength or flexibility. Moreover, in some cases, due to dysregulated fibroblast activity, proliferation, and differentiation, the normal scarring can be replaced by pathological fibrotic tissue, leading to hypertrophic scars or keloids. These disorders can cause significant physical impairment and psychological stress and represent significant challenges in medical management in the wound-healing process. The present study aimed to investigate the therapeutic effects of exogenously applied carbon dioxide (CO2) on fibroblast behavior, focusing on viability, proliferation, migration, and differentiation to myofibroblasts. We found that CO2 exposure for up to 60 min did not significantly affect fibroblast viability, apoptosis rate, or proliferation and migration capacities. However, a notable finding was the significant reduction in α-smooth muscle actin (α-SMA) protein expression, indicative of myofibroblast differentiation inhibition, following CO2 exposure. This effect was specific to CO2 and concentration as well as time-dependent, with longer exposure durations leading to greater reductions in α-SMA expression. Furthermore, the inhibition of myofibroblast differentiation correlated with a statistically significantly reduced glycolytic and mitochondrial energy metabolism, and as a result, with a reduced ATP synthesis rate. This very noticeable decrease in cellular energy levels seemed to be specific to CO2 exposure and could not be observed in the control cultures using nitrogen (N2)-saturated solutions, indicating a unique and hypoxia-independent effect of CO2 on fibroblast metabolism. These findings suggest that exogenously applied CO2 may possess fibroblast differentiation-reducing properties by modulating fibroblast’s energy metabolism and could offer new therapeutic options in the prevention of scar and keloid development.
DINCH Exposure Triggers Inflammatory, Oxidative, and Apoptotic Pathways in the Liver of Long-Evans Lactating Rats and Their Offspring
Authors: Íñigo-Catalina Lucía , Linillos-Pradillo Beatriz , Schlumpf Margret , Lichtensteiger Walter , Paredes Sergio D. , Rancan Lisa , Tresguerres Jesús A. F.
Published: December 2024

1,2-cyclohexane dicarboxylic acid diisononyl ester (DINCH) is a non-phthalate plasticizer used as a replacement of di(2-ethylhexyl) phthalate (DEHP) in daily usage items. It is not known whether continuous exposure to low doses of DINCH can lead to hepatic alterations, the liver being the organ responsible for its metabolism. The aim of this study was to evaluate the activation of inflammatory and apoptotic pathways in the liver of lactating dams after DINCH exposure, and whether these effects may be observed on postnatal day 6 (PND6) offspring. Two doses of DINCH were tested by oral administration to the following three groups of Long-Evans rats: control, DINCH-lower dose (LDINCH, 30 mg/kg b.w./day), and DINCH-high dose (HDINCH, 300 mg/kg b.w./day). Inflammatory mediators (IL-1β, TNF-α, NF-κB), mitochondrial transcriptional factors (PPARγ and PGC-1α), oxidative stress markers (SOD, CAT, GSSG/GSH), and components of the mitochondrial apoptotic pathway (PUMA, BAX, BAD, Bcl-2, Bcl-xL, Cytochrome c, APAF-1, Caspase-3, AIF) were assessed by the gene and protein expression in the liver of lactating dams and offspring. Exposure to LDINCH promoted the release of pro-inflammatory cytokines such as IL-1β and TNF-α and raised oxidative stress levels (GSSG/GSH), as well as increased Caspase-3 levels and reduced anti-apoptotic proteins (Bcl-2 and Bcl-xL), both in lactating dams and PND6 offspring. Thus, constant exposure to lower doses of DINCH can disrupt inflammatory and oxidant/antioxidant homeostasis, leading to hepatic tissue damage in lactating dams and having a perinatal effect in PND6 offspring.
Digital Transformation in Energy Sector: Cybersecurity Challenges and Implications
Authors: Saeed Saqib , Gull Hina , Aldossary Muneera Mohammad , Altamimi Amal Furaih , Alshahrani Mashael Saeed , Saqib Madeeha , Zafar Iqbal Sardar , Almuhaideb Abdullah M.
Published: December 2024

Digital transformation in energy sector organizations has huge benefits but also exposes them to cybersecurity challenges. In this paper, we carried out a systematic literature review on cybersecurity challenges and issues in the energy domain. Energy-associated assets are very critical for any nation and cyber-attacks on these critical infrastructures can result in strategic, financial, and human losses. We investigated research papers published between 2019 and 2024 and categorized our work into three domains: oil and gas sector, the electricity sector, and the nuclear energy sector. Our study highlights that there is a need for more research in this important area to improve the security of critical infrastructures in the energy sector. We have outlined research directions for the scientific community to further strengthen the body of knowledge. This work is important for researchers to identify key areas to explore as well as for policymakers in energy sector organizations to improve their security operations by understanding the associated implications of cybersecurity.
Heart Failure Beyond the Diagnosis: A Narrative Review of Patients’ Perspectives on Daily Life and Challenges
Authors: Yang Michelle Shigi , Abdallah Mohamed Bilal , Bashir Zubair , Khalife Wissam
Published: December 2024

Heart failure (HF) is a complex syndrome that significantly affects patients’ physical, psychological, and socioeconomic well-being. Despite advances in guideline-directed medical therapy (GDMT), such as ACE inhibitors, beta-blockers, and SGLT2 inhibitors, HF continues to have a high global burden, with over 64 million affected worldwide and a five-year mortality rate of 50%. HF disrupts various life aspects, especially for younger patients (aged 35–55), who often face career interruptions due to severe symptoms like fatigue and frequent hospitalizations. These patients may struggle to maintain employment, resulting in financial instability compounded by high healthcare costs. Moreover, reduced exercise capacity and sexual dysfunction negatively impact patients’ quality of life. The psychological toll of HF is profound, with many patients experiencing depression, anxiety, and stress. However, a positive mindset has been shown to improve survival rates, underscoring the need for holistic management approaches. Interventions like cognitive behavioral therapy (CBT) and remote monitoring technologies such as CardioMEMS offer promising avenues to improve quality of life and reduce hospitalizations. This review highlights the importance of a multidisciplinary, patient-centered approach to HF management. Tailoring care to align with individual goals, integrating psychosocial support, and enhancing patient education are vital in addressing both the clinical and personal challenges of HF. By adopting a comprehensive approach, healthcare providers can significantly improve long-term outcomes and quality of life for HF patients.
Left Ventricular and Atrial Function Analysis Following Transcatheter Edge-to-Edge Mitral Valve Repair
Authors: Linder Timor , Sudarsky Doron , Grosman-Rimon Liza , Rimon Jordan , Shuvy Mony , Carasso Shemy
Published: December 2024

Background: Conventional echocardiography used to assess volumes of the left ventricle (LV) and left atrium (LA) along with mitral regurgitation grade is routine in studies before and after transcatheter edge-to-edge mitral valve repair (Mitral TEER). Previous studies focus on LV parameter changes and comparison of the functions before and a few months following Mitral TEER implantation, as well as LA reverse remodeling, by assessing LV volumes. However, less is known regarding LA strain changes in the early phase after the procedure. The objective of the study was to assess the effect of Mitral TEER on LA strain early after TEER procedure. Methods: The retrospective study included 44 patients who underwent Mitral TEER. LA strain and volumes were evaluated by speckle tracking echocardiography at the baseline and 24–48 h following the procedure. Demographic, echocardiographic, and clinical characteristics were obtained and statistically analyzed. Results: LA global longitudinal strain (GLS) reservoir improved significantly (from 12.2 ± 7 to 14.7 ± 6.4, p = 0.0079) after Mitral TEER. Significant improvements were also seen in LA volumes (LA maximal and minimal volume), which reduced by 17% and 22.5% respectively. LV GLS was significantly changed (from −9.8% to −12.8%, p < 0.0001) following Mitral TEER, whereas LV stroke volume was not significantly different between the baseline and post-Mitral TEER (p = 0.7798). Conclusions: After successful Mitral TEER, there was a very early improvement in LA function. Two-dimensional speckle tracking echocardiography may contribute to our understanding of LA functional changes immediately post-procedure.
Shifting Paradigms in Hemorrhoid Management: The Emergence and Impact of Cap-Assisted Endoscopic Sclerotherapy
Authors: Wang Xianglu , Wu Xia , Wen Quan , Cui Bota , Zhang Faming
Published: December 2024

Hemorrhoidal disease (HD) is a prevalent proctological condition that has puzzled people since ancient times, and the most common symptom is painless bleeding. Traditional treatments include conservative treatment, nonsurgical office-based treatments, and surgery. Sclerotherapy is one of the oldest forms of nonoperative intervention and is widely used to treat internal hemorrhoids with the development of endoscopy technology. However, sclerotherapy is always accompanied by complications such as bleeding, pain, abscess, etc., when the sclerosant is injected into the wrong site. Cap-assisted endoscopic sclerotherapy (CAES), a new minimally invasive technology, was first time coined in 2015 for the treatment of hemorrhoidal disease. The left-posterior–right-anterior (LPRA) anus positioning method under endoscopy provides reliable methodological support for advancing hemorrhoidal treatment via endoscopy. The current trend is that treatment for HD has shifted from being performed predominantly by the Department of Proctology Surgery to being managed mostly by the Department of Gastroenterology. This review reviewed the shifting paradigms of sclerotherapy for HD and discussed the emerging development of CAES.
Advancing Cardiac Amyloidosis Care Through Insights from Cardiopulmonary Exercise Testing
Authors: Pugliatti Pietro , Trimarchi Giancarlo , Barocelli Federico , Pizzino Fausto , Di Spigno Francesco , Tedeschi Andrea , Piccione Maurizio Cusmà , Irrera Pierangela , Aschieri Daniela , Niccoli Giampaolo , Paradossi Umberto , Di Bella Gianluca
Published: December 2024

Cardiac amyloidosis, encompassing both transthyretin (ATTR) and light-chain (AL) types, poses considerable challenges in patient management due to its intricate pathophysiology and progressive course. This narrative review elucidates the pivotal role of cardiopulmonary exercise testing (CPET) in the assessment of these patients. CPET is essential for evaluating disease progression by measuring cardio-respiratory performance and providing prognostic insights. This functional test is crucial not only for tracking the disease trajectory, but also for assessing the effectiveness of disease-modifying therapies. Moreover, CPET facilitates the customization of therapeutic strategies based on individual patient performance, enhancing personalized care. By objectively measuring parameters such as peak oxygen uptake (VO2 peak), ventilatory efficiency, and exercise capacity, clinicians can gain a deeper understanding of the degree of functional impairment and make informed decisions regarding treatment initiation, adjustment, and anticipated outcomes. This review emphasizes the importance of CPET in advancing personalized medicine approaches, ultimately striving to improve the quality of life and clinical outcomes for patients with cardiac amyloidosis.
The WHO Algorithm for Causality Assessment of Adverse Effects Following Immunization with Genetic-Based Anti-COVID-19 Vaccines: Pitfalls and Suggestions for Improvement
Authors: Bellavite Paolo , Donzelli Alberto , Isidoro Ciro
Published: December 2024

Clarifying and differentiating the causes of diseases is an essential step in any clinical activity, but it takes on particular relevance and complexity in the case that arise following vaccinations. The WHO has proposed a protocol that uses a list of specific questions about vaccine-related adverse events and an algorithm for making a judgement. Here, we analyze and discuss the important limitations of this protocol when applied to the new genetic-based anti-COVID-19 vaccines, particularly once dealing with rare and unexpected pathological events. The main controversial aspects concern: (a) the prevailing consideration of other possible causes; (b) the biological plausibility and the choice of an appropriate time window to consider adverse effects possibly caused by vaccines; (c) the reference to scientific literature, which may be very limited and often controversial in early stages of introducing new vaccines because of the short period of observation; (d) the final classification of the algorithm into only three classes, which leaves ample space for the “indeterminate” category. Failure to address these issues may lead to distorted pharmacovigilance reports with significant consequences on the benefit/harm assessment. In anticipation of possible future pandemics managed with new vaccines, the WHO algorithm needs to be revised with appropriate protocols for monitoring and evaluation of adverse effects that take into account the novel mechanism of action and real-world epidemiological data.
Development of a Model for Predicting Mortality Among Patients Hospitalized with COVID-19 During Their Stay in a Clinical Centre
Authors: Guzmán Neftalí , Letelier Pablo , Morales Camilo , Alarcón Luis , Delgado Hugo , San Martín Andrés , Garcés Paola , Barahona Claudia , Huenchulao Pedro , Morales Felipe , Rojas Eduardo , Guzmán-Oyarzo Dina , Boguen Rodrigo
Published: December 2024

Background: Various tools have been proposed for predicting mortality among patients hospitalized with COVID-19 to improve clinical decision-making, the predictive capacities of which vary in different populations. The objective of this study was to develop a model for predicting mortality among patients hospitalized with COVID-19 during their time in a clinical centre. Methods: This was a retrospective study that included 201 patients hospitalized with COVID-19. Mortality was evaluated with the Kaplan–Meier curve and Cox proportional hazards models. Six models were generated for predicting mortality from laboratory markers and patients’ epidemiological data during their stay in a clinical centre. Results: The model that presented the best predictive power used D-dimer adjusted for C-reactive protein (CRP) and oxygen saturation. The sensitivity (Sn) and specificity (Sp) at 15 days were 75% and 71.9%, respectively. At 30 days, Sn was 75% and Sp was 75.4%. Conclusions: These results allowed us to establish a model for predicting mortality among patients hospitalized with COVID-19 based on D-dimer laboratory biomarkers adjusted for CRP and oxygen saturation. This mortality predictor will allow patients to be identified who require more continuous monitoring and health care.
Trends in Intermittent Scanning Continuous Glucose Monitoring Usage in The Netherlands—An Opportunity for Elderly Individuals with Diabetes
Authors: Been Riemer A. , Gans Rijk O. B. , Choudhary Pratik , van Beek André P. , van Dijk Peter R.
Published: December 2024

Background: Intermittent scanning continuous glucose monitoring (is-CGM) technology has gained widespread adoption and is known to improve glycemic control and quality of life for persons with diabetes. The elderly may lag behind in their adoption of the technology, which could be a potential avenue for improving quality of care. In this study, we investigated the adoption of is-CGM technology in the Dutch population, including effects of age. Methods: A retrospective observational study was performed using data from the Drug Information Project, a public database hosted by the Dutch National Health Care Institute. The database contained information concerning healthcare reimbursements from 2017 until 2022 and covered approximately 95% of the total population. Data concerning is-CGM and fast-acting insulin reimbursements were extracted, identifying actual and potential is-CGM users, who were subdivided into the categories 0–24, 25–44, 45–64, 65–74 and ≥75 years old. Results: From 2017 until 2022, is-CGM usage rapidly increased: from 38 to 82.050 actual users. The age categories 0–24 and 25–55 showed the highest is-CGM usage (62% and 84% of the potential population in 2022, respectively), and 65–74 and ≥75 the least (38% and 33%, respectively). However, the elderly had higher growth rates (+75% in the category ≥75 from 2021 to 2022) compared to the youngest (+54% in the category 0–24 in the same period). Conclusions: Data from this study demonstrate that the elderly lag behind in is-CGM adoption. Given the potential advantages of is-CGM for elderly persons with diabetes, we argue that strategies should be developed to address this (paradoxical) underutilization of is-CGM.
Target Therapy in Chronic Arthritis: The Unmet Needs, State-of-the-Art on Dual Biologic Treatments, and Future Perspectives
Authors: Rotondo Cinzia , Perniola Simone , Parisi Simone , Cantatore Francesco Paolo , Corrado Addolorata
Published: December 2024

Since the early 1990s, the introduction of biologic disease-modifying antirheumatic drugs (b-DMARDs) in managing rheumatological diseases has revolutionised the course of inflammatory chronic arthritis, improving the quality of life, slowing the radiographic progression, avoiding disability, preserving workability, and reducing mortality [...]
Quantitative Chest CT Analysis: Three Different Approaches to Quantify the Burden of Viral Interstitial Pneumonia Using COVID-19 as a Paradigm
Authors: Fanni Salvatore Claudio , Colligiani Leonardo , Volpi Federica , Novaria Lisa , Tonerini Michele , Airoldi Chiara , Plataroti Dario , Bartholmai Brian J. , De Liperi Annalisa , Neri Emanuele , Romei Chiara
Published: December 2024

Objectives: To investigate the relationship between COVID-19 pneumonia outcomes and three chest CT analysis approaches. Methods: Patients with COVID-19 pneumonia who underwent chest CT were included and divided into survivors/non-survivors and intubated/not-intubated. Chest CTs were analyzed through a (1) Total Severity Score visually quantified by an emergency (TSS1) and a thoracic radiologist (TSS2); (2) density mask technique quantifying normal parenchyma (DM_Norm 1) and ground glass opacities (DM_GGO1) repeated after the manual delineation of consolidations (DM_Norm2, DM_GGO2, DM_Consolidation); (3) texture analysis quantifying normal parenchyma (TA_Norm) and interstitial lung disease (TA_ILD). Association with outcomes was assessed through Chi-square and the Mann–Whitney test. The TSS inter-reader variability was assessed through intraclass correlation coefficient (ICC) and Bland–Altman analysis. The relationship between quantitative variables and outcomes was investigated through multivariate logistic regression analysis. Variables correlation was investigated using Spearman analysis. Results: Overall, 192 patients (mean age, 66.8 ± 15.4 years) were included. TSS was significantly higher in intubated patients but only TSS1 in survivors. TSS presented an ICC of 0.83 (0.76; 0.88) and a bias (LOA) of 1.55 (−4.69, 7.78). DM_Consolidation showed the greatest median difference between survivors/not survivors (p = 0.002). The strongest independent predictor for mortality was DM_Consolidation (AUC 0.688), while the strongest independent predictor for the intensity of care was TSS2 (0.7498). DM_Norm 2 was the singular feature independently associated with both the outcomes. DM_GGO1 strongly correlated with TA_ILD (ρ = 0.977). Conclusions: The DM technique and TA achieved consistent measurements and a better correlation with patient outcomes.
Comparison of Methods for Short-Segment Posterior Stabilization of Lumbar Spine Fractures and Thoracolumbar Junction
Authors: Tomczyk-Warunek Agnieszka , Kłapeć Michał , Blicharski Rudolf , Dresler Sławomir , Sowa Ireneusz , Gieleta Andrea Weronika , Skrzypek Tomasz , Lis Magdalena , Kazimierczak Waldemar , Blicharski Tomasz
Published: December 2024

Background: Thoracolumbar and lumbar spine injuries account for 30–60% of spinal fractures, especially at the thoracolumbar junction. Conservative treatment is recommended for stable fractures without neurological symptoms, but studies suggest surgical intervention may offer better outcomes. However, there is no consensus on the best stabilization method. Methods: This non-randomized, prospective study was conducted on 114 patients divided into groups based on the surgical technique selected: pedicle stabilization using Schanz screw constructs (Group One, n = 37) stabilization above and below the fractured vertebra using pedicle screws (Group Two, n = 32), and intermediate fixation with a pedicle screw additionally inserted into the fractured vertebra (Group Three, n = 45). Outcomes were assessed using the Cobb angle, anterior and posterior vertebral wall height, and patient quality of life via the Visual Analog Scale (VAS) and Oswestry Disability Index (ODI). X-ray imaging was performed before, during, and after surgery in the control group. Results: This statistical study showed that the location and type of injury significantly influenced the choice of short-segment stabilization method. In the case of measuring the Cobb angle and the high anterior wall, the statistical analysis showed that the best result was observed in the Schanz Group. Patients from this study group had the lowest pain and the highest efficiency. Conclusions: Schanz screw stabilization may offer superior outcomes for thoracolumbar spine injuries, providing better clinical and quality of life results compared to other methods.