bluuebunny/crossref_metadata_2025 huggingface dataset:
Composition, functions, and applications of exosomal membrane proteins
Authors: Xu Fang , Luo Shumin , Lu Pengpeng , Cai Chao , Li Weihua , Li Chuanyun
Published: August 2024

Exosomes play a crucial role in various biological processes, such as human development, immune responses, and disease occurrence. The membrane proteins on exosomes are pivotal factors for their biological functionality. Currently, numerous membrane proteins have been identified on exosome membranes, participating in intercellular communication, mediating target cell recognition, and regulating immune processes. Furthermore, membrane proteins from exosomes derived from cancer cells can serve as relevant biomarkers for early cancer diagnosis. This article provides a comprehensive review of the composition of exosome membrane proteins and their diverse functions in the organism’s biological processes. Through in-depth exploration of exosome membrane proteins, it is expected to offer essential foundations for the future development of novel biomedical diagnostics and therapies.
Integrated application of multi-omics and biochemical analysis revealed the physiological response mechanism of ammonia nitrogen tolerance in the razor clam (Sinonovacula constricta)
Authors: Sun Gaigai , Lv Liyuan , Yao Hanhan , Lin Zhihua , Xu Nianjun , Dong Yinghui
Published: August 2024

As one of the major limiting environment factors in aquaculture, ammonia nitrogen brings severe threat to the growth and survival of aquatic animals, especially mollusk in benthic zones. However, the molecular mechanism underlying the toxic response and tolerance of mollusks to ammonia nitrogen remain unclear. In this study, transcriptome, metabolome and physiological indicators were combined to investigate the metabolic mechanism of adult razor clam (Sinonvacula constricta), which was exposed to ~46mg/L ammonia nitrogen for 1 day (A1) and 10 days (A10). It was observed that compared with A1, the contents of free amino acids, including taurine (Tau), alanine (Ala) and arginine (Arg), the activities of immune-related enzymes acid phosphatase (ACP) and alkaline phosphatase (AKP), and antioxidation-related enzymes superoxide dismutase (SOD) and glutathione peroxidase (GPX) in hepatopancreas, were significantly increased in A10, while the content of malondialdehyde (MDA) was significantly decreased (P < 0.05). Furthermore, the contents of glucose and pyruvate in hepatopancreas, foot and hemolymph urea nitrogen (HUN) were significantly changed (P < 0.05). Meantime, the comparative transcriptome analysis between A1 and A10 groups revealed the effects of ammonia stress on immune defense, antioxidant system and metabolic pathway. Likewise, metabolomic analysis showed that ammonia exposure interfered with amino acid metabolism, lipid metabolism and carbohydrate metabolism, with metabolism related-genes changed according to RNA-seq analysis. By comparing the metabolites and transcripts profiles of A10 and A1, the expression of some genes involved in detoxification and ammonia excretion was significantly changed. Combined with the changes in metabolites, we speculated that the convert endogenous ammonia to alanine, alanine-glucose cycle and urea synthesis might be adaptive strategies of the razor clam after ammonia stress. Collectively, the combination of physiological, transcriptome and metabolome will greatly contribute to the progressively understand the toxicity of ammonia exposure and the defense mechanism of razor clam against ammonia toxicity, and provide new sights on the potential molecular mechanisms of ammonia adaptive strategies in benthic mollusk.
Sciatica-like pain caused by cervical spondylotic myelopathy: four case reports and systematic review
Authors: Han Changsheng , Wang Jingming , Wang Lei , Gong Qinglei , Huang Weimin
Published: August 2024

Objective

This study aimed to demonstrate and characterize a rare cervical spondylotic myelopathy (CSM) with sciatica-like pain as the main clinical manifestation through case presentation and systematic review.

Methods

Four cases of CSM with sciatica-like pain as the main clinical manifestation were retrospectively studied. A systematic review of electronic databases such as PubMed, Embase, and Web of Science was conducted to explore the clinical characteristics of CSM with sciatica.

Results

All four cases of CSM symptomatic of sciatica-like pain were initially diagnosed with lumbar degenerative conditions. However, due to the presence of neurological signs such as hyperactive tendon reflexes, a positive Babinski sign, or a Hoffmann sign, they underwent further cervical MRI scans. Eventually, all four cases were diagnosed with CSM and experienced relief from sciatica after cervical decompression surgery. The systematic review analyzed a total of four studies with a combined sample size of 10 cases, all of whom experienced a reduction in sciatica-like pain following cervical decompression surgery.

Conclusion

CSM symptomized by sciatica-like pain can often be misdiagnosed as lumbar degenerative disease. Preoperative abnormal neurological signs associated with CSM may aid in diagnosing this condition. In addition, the clinical presentation of hyperextension of the cervical spine resulting in worsening lower limb pain may serve as diagnostic indicators for this disease.
Application of bio-layer interferometry for the analysis of ribosome-protein interactions
Authors: Pandiarajan Ilamathy , Walunj Sujata B. , Banerjee Nirjhar , Rout Janmejaya , Srivastava Sanjeeva , Patankar Swati , Kaledhonkar Sandip
Published: August 2024

The ribosome, a ribonucleoprotein complex, performs the function of protein translation. While ribosomal RNA catalyzes polypeptide formation, several proteins assist the ribosome throughout the translation process. Studying the biochemical and kinetic properties of these proteins interacting with the ribosome is vital for elucidating their roles. Various techniques, such as zonal centrifugation, pull-down assays, dynamic light scattering (DLS), fluorescence polarization, and surface plasmon resonance (SPR) are employed for this purpose, each presenting unique advantages and limitations. We add to the repertoire of techniques by using Bio-Layer Interferometry (BLI) to examine interactions between the ribosome and translation factors. Our findings demonstrate that BLI can detect interactions of Escherichia coli ribosomes with two proteins: E. coli initiation factor 2 (IF2) and P. falciparum translation enhancing factor (PTEF). A protein (Green Fluorescent Protein; GFP) known not to bind to E. coli ribosomes, shows no binding in the BLI assay. We show that BLI could be used to study the ribosome-protein interactions as it has key advantages like label-free procedures, ease of assay performance, and ribosome sample reuse. Our results highlight the comprehensive use of BLI in studying the ribosome-protein interactions, in addition to studying protein-protein and protein-ligand interactions.
Inhalable dry powder nano-formulations: advancing lung disease therapy-a review
Authors: Naureen Faiza , Shah Yasar , Rehman Maqsood ur , Chaubey Pramila , Nair Anjana Karunakaran , Khan Jahangir , Abdullah  , Shafique Muhammad , Shah Kifayat Ullah , Ahmad Bashir
Published: August 2024

The exposure of human beings to various respiratory diseases has sparked an interest among scientists to propose and promote inhalable nanoparticle-based pharmaceutical products. This new drug delivery system will be an effective and prompt therapy for next-generation respiratory therapeutics. There are many available formulations on account of the treatments for lung diseases, i.e., oral, injectable, aerosol, nebulizer-based, etc. But, due to extended distribution and elimination, repeated intake, and complex systems of application, these treatments create overload on patients along with other expenses of daily life. Amid these treatments, inhalable nanoparticle-based dry powder formulations are considered superior owing to their simplicity, convenience of use, and long-term stability. This review aims to formulate an inhalable nanoparticle dry powder formulation to attain confined distribution of the remedy to the respiratory system. Dry powder formulations based on inhalable nanoparticles provide a novel and cutting-edge method of treating lung conditions. This novel drug delivery system is an improved treatment for lung disorders in terms of its efficacy and reduced dose requirement. Subsequently, the availability of this formulation will be an alternative option for patients to improve treatment compliance and, foremost, therapeutic outcomes in different lung ailments. The salient features of dry formulations that illustrate their uniqueness are deep penetration to lung tissues, enhanced deposition in lung regions, improved solubility, elevated bioavailability, targeted drug delivery, stability at storage, convenient to use, versatile and customizable formulation. This novel inhalable formulation is based on finely dried nanoparticles or freeze-dried particles. This formulation will contain an excessive amount of dried nanoparticles, and if it is combined with a beneficial tool, i.e., a spray, pump, or puffer, it will be a pleasant way to apply drugs directly to the lungs.
Peptain-1 blocks ischemia/reperfusion-induced retinal capillary degeneration in mice
Authors: Nam Mi-Hyun , Dhillon Armaan , Nahomi Rooban B. , Carrillo Noelle L. , Hougen Clarinda S. , Nagaraj Ram H.
Published: August 2024

Introduction

Neurovascular degeneration results in vascular dysfunction, leakage, ischemia, and structural changes that can lead to significant visual impairment. We previously showed the protective effects of peptain-1, a 20 amino acid peptide derived from the αB-crystallin core domain, on retinal ganglion cells in two animal models of glaucoma. Here, we evaluated the ability of peptain-1 to block apoptosis of human retinal endothelial cells (HRECs) in vitro and retinal capillary degeneration in mice subjected to retinal ischemia/reperfusion (I/R) injury.

Methods

HRECs were treated with either peptain-1 or scrambled peptides (200 μg/mL) for 3 h and a combination of proinflammatory cytokines (IFN-γ 20 ng/mL + TNF-α 20 ng/mL+ IL-1β 20 ng/mL) for additional 48 h. Apoptosis was measured with cleaved caspase-3 formation via western blot, and by TUNEL assay. C57BL/6J mice (12 weeks old) were subjected to I/R injury by elevating the intraocular pressure to 120 mmHg for 60 min, followed by reperfusion. Peptain-1 or scrambled peptide (0.5 μg) was intravitreally injected immediately after I/R injury and 7 days later. One microliter of PBS was injected as vehicle control, and animals were euthanized on day 14 post-I/R injury. Retinal capillary degeneration was assessed after enzyme digestion followed by periodic acid–Schiff staining.

Results

Our data showed that peptain-1 entered HRECs and blocked proinflammatory cytokine-mediated apoptosis. Intravitreally administered peptain-1 was distributed throughout the retinal vessels after 4 h. I/R injury caused retinal capillary degeneration. Unlike scrambled peptide, peptain-1 protected capillaries against I/R injury. Additionally, peptain-1 inhibited microglial activation and reduced proinflammatory cytokine levels in the retina following I/R injury.

Discussion

Our study suggests that peptain-1 could be used as a therapeutic agent to prevent capillary degeneration and neuroinflammation in retinal ischemia.
The relevance of BDNF for neuroprotection and neuroplasticity in multiple sclerosis
Authors: Maiworm Michelle
Published: August 2024

Background

Neuroplasticity as a mechanism to overcome central nervous system injury resulting from different neurological diseases has gained increasing attention in recent years. However, deficiency of these repair mechanisms leads to the accumulation of neuronal damage and therefore long-term disability. To date, the mechanisms by which remyelination occurs and why the extent of remyelination differs interindividually between multiple sclerosis patients regardless of the disease course are unclear. A member of the neurotrophins family, the brain-derived neurotrophic factor (BDNF) has received particular attention in this context as it is thought to play a central role in remyelination and thus neuroplasticity, neuroprotection, and memory.

Objective

To analyse the current literature regarding BDNF in different areas of multiple sclerosis and to provide an overview of the current state of knowledge in this field.

Conclusion

To date, studies assessing the role of BDNF in patients with multiple sclerosis remain inconclusive. However, there is emerging evidence for a beneficial effect of BDNF in multiple sclerosis, as studies reporting positive effects on clinical as well as MRI characteristics outweighed studies assuming detrimental effects of BDNF. Furthermore, studies regarding the Val66Met polymorphism have not conclusively determined whether this is a protective or harmful factor in multiple sclerosis, but again most studies hypothesized a protective effect through modulation of BDNF secretion and anti-inflammatory effects with different effects in healthy controls and patients with multiple sclerosis, possibly due to the pro-inflammatory milieu in patients with multiple sclerosis. Further studies with larger cohorts and longitudinal follow-ups are needed to improve our understanding of the effects of BDNF in the central nervous system, especially in the context of multiple sclerosis.
Association between the Composite Dietary Antioxidant Index and severe headache or migraine: results from the National Health and Nutrition Examination Survey
Authors: Zhang Zhiru , Chen Xushan , Fang Haotao , Ye Jiechao , Tang Xiaona , Huang Rucheng
Published: August 2024

Background

Severe headache or migraine is a neurological disease that seriously affects the quality of human life. Oxidative stress is considered a main factor in the pathogenesis of severe headache or migraine. The Composite Dietary Antioxidant Index (CDAI) is a score calculated using six dietary antioxidant components (including vitamins A, C, E, selenium, zinc, and carotenoid), which represents a person’s level of dietary antioxidant ingredients. Based on the theory of oxidative stress, we speculated that CDAIs may be relevant to the risk of severe headache or migraine, as the relationship between the CDAI and severe headache or migraine is unclear. Hence, the purpose of this study was to explore the relationship between the CDAI and severe headache or migraine in participants.

Methods

We performed a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) that were collected from 2001 to 2004. A total of 4,943 participants were included, of whom 1,232 experienced severe headaches or migraines. Participants’ CDAIs were calculated based on their intake of six dietary antioxidants. We used logistic regression models, limited cubic spline analysis, and subgroup analysis to assess the association of CDAI with severe headache or migraine.

Results

The multivariate logistic regression model (correcting for all potential covariates) revealed that the odds ratio (95% Confidence Interval [CI]) for the association between CDAI and severe headache or migraine was 0.97 (95% CI = 0.95–1.00, p = 0.048). Compared with individuals with low CDAIs in Quartile (Q)1, the adjusted Odds Ratio between the CDAI and severe headache or migraine in Q2, Q3, and Q4 were 0.84 (95% CI = 0.69–1.01, p = 0.07), 0.77 (95% CI = 0.63–0.96, p = 0.017), and 0.73 (95% CI = 0.56–0.95, p = 0.02), respectively. Restricted cubic spline regression analysis showed an L-shaped relationship between the CDAI and severe headache or migraine.

Conclusion

Our findings indicate that higher CDAI was associated with a lower risk of severe headache or migraine.
Assessment of preschool preparedness intervention package on adoption of nutrition friendly school initiative in rural Sindh, Pakistan: a pre-and post-intervention design
Authors: Samnani Amir Ali , Nuruddin Rozina , Petrucka Pammla , Soofi Sajid B. , Karmaliani Rozina
Published: August 2024

Background

In 1995, the World Health Organization launched its Global School Health Initiative intending to expand this health promotion approach throughout schools globally. In this study, we aim to assess the preparedness of preschools in the adoption of intervention packages under the Nutrition Friendly School Initiative (NFSI) checklist.

Methods

From three campuses of the Aga Khan School located in the Thatta and Sujawal districts of the Sindh province, Pakistan, all eligible preschool children were selected for this study. Using a pre-and post-intervention design, we assessed preschool preparedness using the NFSI checklist, knowledge of parents/caregivers regarding health and nutrition promoting behaviors, and anthropometric measurements (i.e., mid-upper arm circumference (MUAC), weight, and height) for preschool children. The NFSI checklist was analyzed with differential scores, while descriptive statistics were used for anthropometric and knowledge data. Continuous variables (i.e., height, weight, MUAC) were presented as means, while categorical variables (knowledge) were expressed as numbers and percentages. Paired t-tests for dependent samples were used to statistically assess mean differences in MUAC, height, weight, height-for-age Z-score, weight-for-age Z-score, weight-for-height Z-score, and changes in parental knowledge of preschool children.

Results

Data from 164 preschool children (ages 24–84 months, mean age 56.7 months) were analyzed over 3 months. School preparedness scores improved from 10 to 22 points (out of 26). Parental knowledge on nutrition and health increased by 7.2 points (out of 25). Children showed mean increases in MUAC (0.27 cm), weight (0.36 kg), and height (0.62 cm) (p < 0.001). Stunting and overweight/obesity rates remained the same (7.3 and 4.3%), while underweight and wasting rates dropped from 10.4 to 7.3% and 7.9 to 6.1%, respectively. The initiative effectively reduced underweight and wasting but did not impact stunting and overweight.

Conclusion

The NFSI has greatly enhanced preschool readiness for nutrition-friendly schools. Engaging the private sector in addressing nutritional challenges has paved the way for future public-private partnerships to tackle malnutrition. The nutrition policy formulated through this initiative could serve as a blueprint for a National School Nutrition Policy.
REThinking the role of the RET oncogene in breast cancer
Authors: Di Grazia Giuseppe , Conti Chiara , Nucera Sabrina , Motta Gianmarco , Martorana Federica , Stella Stefania , Massimino Michele , Giuliano Mario , Vigneri Paolo
Published: August 2024

The REarranged during Transfection (RET) receptor tyrosine kinase plays a crucial role in the development of various anatomical structures during embryogenesis and it is involved in many physiological cellular processes. This protein is also associated with the initiation of various cancer types, such as thyroid cancer, non-small cell lung cancer, and multiple endocrine neoplasms. In breast cancer, and especially in the estrogen receptor-positive (ER+) subtype, the activity of RET is of notable importance. Indeed, RET seems to be involved in tumor progression, resistance to therapies, and cellular proliferation. Nevertheless, the ways RET alterations could impact the prognosis of breast cancer and its response to treatment remain only partially elucidated. Several inhibitors of RET kinase have been developed thus far, with various degrees of selectivity toward RET inhibition. These molecules showed notable efficacy in the treatment of RET-driven tumors, including some breast cancer cases. Despite these encouraging results, further investigation is needed to fully understand the potential role RET inhibition in breast cancer. This review aims to recapitulate the existing evidence about the role of RET oncogene in breast cancer, from its pathogenic and potentially prognostic role, to the clinical applications of RET inhibitors.
Kumujan B suppresses TNF-α-induced inflammatory response and alleviates experimental colitis in mice
Authors: Li Xunwei , Di Qianqian , Li Xiaoli , Zhao Xibao , Wu Han , Xiao Yue , Tang Haimei , Huang Xucan , Chen Jin , Chen Shaoying , Gao Yuli , Gao Junbo , Xiao Weilie , Chen Weilin
Published: August 2024

Graphical Abstract
Mass spectrometry imaging as a promising analytical technique for herbal medicines: an updated review
Authors: Zhang Jinying , Mao Zhiguo , Zhang Ding , Guo Lin , Zhao Hui , Miao Mingsan
Published: August 2024

Herbal medicines (HMs) have long played a pivotal role in preventing and treating various human diseases and have been studied widely. However, the complexities present in HM metabolites and their unclear mechanisms of action have posed significant challenges in the modernization of traditional Chinese medicine (TCM). Over the past two decades, mass spectrometry imaging (MSI) has garnered increasing attention as a robust analytical technique that enables the simultaneous execution of qualitative, quantitative, and localization analyses without complex sample pretreatment. With advances in technical solutions, MSI has been extensively applied in the field of HMs. MSI, a label-free ion imaging technique can comprehensively map the spatial distribution of HM metabolites in plant native tissues, thereby facilitating the effective quality control of HMs. Furthermore, the spatial dimension information of small molecule endogenous metabolites within animal tissues provided by MSI can also serve as a supplement to uncover pharmacological and toxicological mechanisms of HMs. In the review, we provide an overview of the three most common MSI techniques. In addition, representative applications in HM are highlighted. Finally, we discuss the current challenges and propose several potential solutions. We hope that the summary of recent findings will contribute to the application of MSI in exploring metabolites and mechanisms of action of HMs.
In-vivo and in-vitro environments affect the storage and release of energy in tendons
Authors: Bossuyt Fransiska M. , Leonard Timothy R. , Scott W. Michael , Taylor William R. , Herzog Walter
Published: August 2024

Understanding tendon mechanical properties, such as stiffness and hysteresis, can provide insights into injury mechanisms. This research addresses the inconsistency of previously reported in-vivo and in-vitro tendon hysteresis properties. Although limited, our preliminary findings suggest that in-vivo hystereses (Mean ± SD; 55% ± 9%) are greater than in-vitro hystereses (14% ± 1%) when directly comparing the same tendon for the same loading conditions in a sheep model in-vivo versus within 24 h post-mortem. Overall, it therefore appears that the tendon mechanical properties are affected by the testing environment, possibly related to differences in muscle-tendon interactions and fluid flow experienced in-vivo versus in-vitro. This communication advocates for more detailed investigations into the mechanisms resulting in the reported differences in tendon behaviour. Overall, such knowledge contributes to our understanding of tendon function towards improving modelling and clinical interventions, bridging the gap between in-vivo and in-vitro observations and enhancing the translational relevance of biomechanical studies.
Cotton morphological traits tracking through spatiotemporal registration of terrestrial laser scanning time-series data
Authors: Rodriguez-Sanchez Javier , Snider John L. , Johnsen Kyle , Li Changying
Published: August 2024

Understanding the complex interactions between genotype-environment dynamics is fundamental for optimizing crop improvement. However, traditional phenotyping methods limit assessments to the end of the growing season, restricting continuous crop monitoring. To address this limitation, we developed a methodology for spatiotemporal registration of time-series 3D point cloud data, enabling field phenotyping over time for accurate crop growth tracking. Leveraging multi-scan terrestrial laser scanning (TLS), we captured high-resolution 3D LiDAR data in a cotton breeding field across various stages of the growing season to generate four-dimensional (4D) crop models, seamlessly integrating spatial and temporal dimensions. Our registration procedure involved an initial pairwise terrain-based matching for rough alignment, followed by a bird’s-eye view adjustment for fine registration. Point clouds collected throughout nine sessions across the growing season were successfully registered both spatially and temporally, with average registration errors of approximately 3 cm. We used the generated 4D models to monitor canopy height (CH) and volume (CV) for eleven cotton genotypes over two months. The consistent height reference established via our spatiotemporal registration process enabled precise estimations of CH (R2 = 0.95, RMSE = 7.6 cm). Additionally, we analyzed the relationship between CV and the interception of photosynthetically active radiation (IPARf), finding that it followed a curve with exponential saturation, consistent with theoretical models, with a standard error of regression (SER) of 11%. In addition, we compared mathematical models from the Richards family of sigmoid curves for crop growth modeling, finding that the logistic model effectively captured CH and CV evolution, aiding in identifying significant genotype differences. Our novel TLS-based digital phenotyping methodology enhances precision and efficiency in field phenotyping over time, advancing plant phenomics and empowering efficient decision-making for crop improvement efforts.
Cardiopulmonary coupling-calculated sleep stability and nocturnal heart rate kinetics as a potential indicator for cardiovascular health: a relationship with blood pressure dipping
Authors: Hilmisson Hugi , Thomas Robert Joseph , Magnusdottir Solveig
Published: August 2024

Introduction

High blood pressure (HBP) is an independent, modifiable driver of cardiovascular (CV) morbidity and mortality. Nocturnal hypertension and non-dipping of blood pressure (NdBP) may be early markers of HBP. Similar to patients with NdBP, individuals with non-dipping of heart rate (NdHR) during sleep have an increased risk of CV disease, CV events, and CV-related mortality. The aim of this analysis was to evaluate if cardiopulmonary coupling (CPC) analysis-derived sleep states [stable/unstable non-rapid eye movement (NREM) sleep] and concomitant heart rate (HR) changes can provide information about nocturnal blood pressure (BP).

Method

Plethysmogram (pleth) signals from the HeartBEAT study (NCT01086800) were analyzed for CPC sleep states. Included in the analysis are sleep recordings from participants with acceptable pleth-signal quality at baseline (n = 302) and follow-up (n = 267), all having confirmed CV disease or CV-disease risk factors. The participants had a high prevalence of obstructive sleep apnea (OSA), 98.4% with moderate-OSA [apnea–hypopnea index (AHI) ≥ 15) and 29.6% severe OSA (AHI ≥ 30). A “heart-rate module” was created to evaluate the utility of identifying patients more likely to have BP dipping during sleep. Patients who did not have a decrease of ≥10% in their BP from wake to sleep were defined as NdBP and NdHR if their heart rate during stable-NREM sleep was higher than during unstable-NREM sleep.

Results

The most significant difference in minimum HR (HRmin) was observed when comparing BP dippers [56 ± 4 beats per minute (BPM)] and non-BP dippers (59 ± 4 BPM; p < 0.0001) during diastolic blood pressure in stable-NREM sleep. Higher HRmin were associated with an increased likelihood of being a non-dipper, with the strongest relationship with diastolic BP and stable-NREM sleep. Every increase of 1 BPM during stable-NREM sleep was associated with an ~4.4% increase in the probability of NdBP (p = 0.001). Subjects with NdHR have higher mean BP during sleep and wake periods than HR dippers. When continuous positive airway pressure therapy is efficacious, and a dipping pattern is achieved—physical and mental health is improved.

Conclusion

HR analytics in relation to the sleep period and the CPC spectrogram-estimated sleep states can provide novel and potentially clinically useful information on autonomic health. HR dipping (or not) may be a useful screener of BP dipping or non-dipping to identify individuals who may benefit from a formal assessment of 24-h ambulatory BP. Such a stepped approach may enable a more practical and applicable approach to diagnosing HBP.

Clinical Trial Registration

The Heart Biomarker Evaluation in Apnea Treatment (HeartBEAT) study is registered at clinicaltrials.gov/ct2/show/NCT01086800.
Susceptibility of primary ovine dorsal soft palate and palatine tonsil cells to FMDV infection
Authors: Sarry Morgan , Laloy Eve , Relmy Anthony , Romey Aurore , Bernelin-Cottet Cindy , Salomez Anne-Laure , Huet Hélène , Hägglund Sara , Valarcher Jean-François , Bakkali Kassimi Labib , Blaise-Boisseau Sandra
Published: August 2024

Foot and mouth disease (FMD) is a highly contagious viral disease affecting cloven-hoofed animals. This disease is one of the most important in animal health due to its significant socio-economic impact, especially in case of an outbreak. One important challenge associated with this disease is the ability of the FMD virus (FMDV) to persist in its hosts through still unresolved underlying mechanisms. The absence of relevant in vitro models is one factor preventing advancement in our understanding of FMDV persistence. While a primary bovine cell model has been established using cells from FMDV primary and persistence site in cattle, it appeared interesting to develop a similar model based on ovine anatomical sites of interest to compare host-pathogen interactions. Thus, epithelial cells derived from the palatine tonsils and the dorsal soft palate were isolated and cultured. Their epithelial nature was confirmed using immunofluorescence. Following monolayer infection with FMDV O/FRA/1/2001 Clone 2.2, the FMDV-sensitivity of these cells was evaluated. Dorsal soft palate (DSP) cells were also expanded in multilayers at the air-liquid interface to mimic a stratified epithelium sensitive to FMDV infection. Our investigation revealed the presence of infectious virus, as well as viral antigens and viral RNA, up to 35 days after infection of the cell multilayers. Further experiment with DSP cells from different individuals needs to be reproduced to confirm the robustness of the new model of persistence in multilayer DSP. The establishment of such primary cells creates new opportunities for FMDV research and analysis in sheep cells.
Preptimize: Automation of Time Series Data Preprocessing and Forecasting
Authors: Usmani Mehak , Memon Zulfiqar Ali , Zulfiqar Adil , Qureshi Rizwan
Published: August 2024

Time series analysis is pivotal for business and financial decision making, especially with the increasing integration of the Internet of Things (IoT). However, leveraging time series data for forecasting requires extensive preprocessing to address challenges such as missing values, heteroscedasticity, seasonality, outliers, and noise. Different approaches are necessary for univariate and multivariate time series, Gaussian and non-Gaussian time series, and stationary versus non-stationary time series. Handling missing data alone is complex, demanding unique solutions for each type. Extracting statistical features, identifying data quality issues, and selecting appropriate cleaning and forecasting techniques require significant effort, time, and expertise. To streamline this process, we propose an automated strategy called Preptimize, which integrates statistical and machine learning techniques and recommends prediction model blueprints, suggesting the most suitable approaches for a given dataset as an initial step towards further analysis. Preptimize reads a sample from a large dataset and recommends the blueprint model based on optimization, making it easy to use even for non-experts. The results of various experiments indicated that Preptimize either outperformed or had comparable performance to benchmark models across multiple sectors, including stock prices, cryptocurrency, and power consumption prediction. This demonstrates the framework’s effectiveness in recommending suitable prediction models for various time series datasets, highlighting its broad applicability across different domains in time series forecasting.
High-Precision Composite Control of Driving Current for Non-Contact Annular Electromagnetic Stabilized Spacecraft Subject to Multiple Disturbances
Authors: Liao He , Yuan Haoxiang , Xie Jinjin
Published: August 2024

Based on the design concept of dynamic and static isolation, disturbance-free payload (DFP) satellites can isolate the effects of interference on sensitive payloads, and can realize the high-precision control of the payload better than a traditional spacecraft. Among these, non-contact annular electromagnetic stabilized spacecraft (NCAESS) can effectively alleviate control output problems such as the six-degree-of-freedom coupling and nonlinear effects found in traditional non-contact spacecraft. As a key actuator, the driving current control of the non-contact annular electromagnetic actuator (NCAEA) will have a direct impact on the attitude performance of NCAESS. However, there are multiple interference effects present in the actual driving current control. Therefore, this paper proposes a composite control scheme to improve the driving accuracy by suppressing these multiple disturbances. Firstly, the variable-switching-frequency pulse-width modulation is used to adjust the switching frequency adaptively to reduce switch ripple. Secondly, feedforward compensation is employed to mitigate the back electromotive force. Thirdly, the robust Smith predictor is utilized to compensate for the digital control delay. Finally, an internal model proportional–integral controller with fuzzy rule is applied to adjust the parameters adaptively. The numerical simulation results demonstrate that the proposed approach can be adopted to enhance the robustness and dynamic response of the driving current effectively, which leads to precise control of the non-contact annular electromagnetic stabilized spacecraft.
Contents of Macro- and Microelements in Blood Serum and Breast Muscle of Turkey Subjected to Pre-Slaughter Transport for Various Distances
Authors: Pomianowski Janusz F. , Wójcik Anna , Sowińska Janina , Witkowska Dorota , Murawska Daria , Mituniewicz Tomasz
Published: August 2024

In this study, the effect of pre-slaughter handling on the content of macro- and micronutrients in blood serum and in the breast muscle of turkeys was assessed. Four different variants of pre-slaughter handling were used in the research: no transport (N-T), transport for a distance of 100 km (T-100), transport for a distance of 200 km (T-200), and transport for a distance of 300 km (T-300). In each of them, 30 female and 30 male turkeys were used. Blood was collected from the birds before slaughter, and samples of the pectoral muscle were collected after slaughter. In the obtained biological material, the content of Mg, P, Ca, Fe, Na and K was analyzed. On the basis of the obtained research results, it can be concluded that the pre-slaughter handling negatively affects the content of macro- and microelements both in the blood serum and in the pectoral muscles of experimental turkeys. Additionally, differences due to the sex of birds were observed.
Ensemble of Convolutional Neural Networks for COVID-19 Localization on Chest X-ray Images
Authors: Marcomini Karem D.
Published: August 2024

Coronavirus disease (COVID-19) is caused by the SARS-CoV-2 virus and has been declared as a pandemic. The early detection of COVID-19 is necessary to interrupt the spread of the virus and prevent its transmission. X-rays and CT scans can assist radiologists in disease detection. However, detecting COVID-19 on chest radiographs is challenging due to similarities with other bacterial and viral pneumonias. Therefore, it is essential to develop a fast and accurate algorithm for detecting COVID-19. In this work, we applied pre-processing in order to increase the contrast in X-rays. We then use the ResNet-50 model to differentiate between normal and COVID-19 images. Images classified as COVID-19 were investigated with an ensemble detection model (deep learning models—You Only Look Once version 5 and X). The classification model achieved an accuracy of 0.864 and an AUC of 0.904 in 5-fold cross-validation. The overlap between the predicted bounding boxes and the ground truth reached, in the ensemble model, a mAP of 59.63% in 5-fold cross-validation. Thus, we consider that the result was significant in terms of the global classification of the images, as well as in the location of suspicious regions that require greater attention from the specialist, which makes the developed model a fast and promising way to aid the specialist in decision making.
Effect of Heat Pasteurization and Enzymatic Maceration on Yield, Color, Sugars, Organic Acids, and Phenolic Content in the ‘Merlot Kanthus’ Grape Juice
Authors: Puzovic Alema , Pelacci Massimiliano , Simkova Kristyna , Hudina Metka , Rusjan Denis , Veberic Robert , Mikulic-Petkovsek Maja
Published: August 2024

This study researched the combined effects of heat treatment and varying concentrations of the pectolytic enzyme on the improvement of yield, color, and extraction of sugars, acids, and bioactive compounds of the ‘Merlot Kanthus’ grape juice. Application of low (0.05 IU/mL) and high (0.09 IU/mL) enzyme treatment substantially increased the yield of unpasteurized and pasteurized juice. Color intensity significantly improved in the pasteurized juice with a high enzyme concentration (CIRG 4.4) and the pasteurized juice without enzymes (4.5). No considerable differences in the total sugar concentration between the treatments were observed; however, the concentration of organic acids was improved by 27 and 13% in unpasteurized and pasteurized juice with a high enzyme concentration, respectively. A total of 78 individual phenolic compounds were identified, and the treatment with a high enzyme concentration had the most notable effect on the total anthocyanins, improving their concentration by 33.6% and increasing the concentration of 18 individual compounds. The heat treatment increased flavonol concentration by 41%. Overall, heat and enzyme treatment, mainly the high enzyme concentration, had a very favorable effect on the parameters of the analyzed ‘Merlot Kanthus’ grape juice, with a significant increase in the yield of bioactive components.
NSD3::NUTM1 Fusion Sarcoma Mimicking Malignant Peripheral Nerve Sheath Tumor with Prolonged Survival
Authors: Di Jing , Alhaidary Ali M. , Wang Chi , Liu Jinge , Wei Sainan , Valentino Joseph , Bocklage Therese J.
Published: August 2024

Nuclear Protein in Testis (NUT)-rearranged tumors comprise predominantly NUT carcinoma but also include certain lymphomas, leukemias, skin appendage tumors, and sarcomas. Although histologically diverse, all are genetically identified by oncogenic rearrangement in the NUTM1 gene. Many fusion partners occur, and NSD3 is NUT carcinoma’s third most common partner. Herein, we present a case of a 26-year-old man with an NSD3::NUTM1 fusion sarcoma. The patient presented at the age of 13 months with a scalp nodule. Over the next 24 years, he experienced five local recurrences and ultimately expired of a rapidly progressive recurrence. His treatment included surgical resections, radiation, and various chemotherapies. Deceptively, the clinical presentation and histopathology aligned with a malignant peripheral nerve sheath tumor, a diagnosis rendered at initial resection with concurrence by a national soft tissue tumor expert. The patient’s exceptionally long survival could be due to NSD3 as the fusion partner, aided by the initial small tumor size and young patient age. Thus, this case expands NUT fusion sarcomas’ histologic and immunohistochemical profile to include mimicking a malignant peripheral nerve sheath tumor (MPNST). Additionally, it indicates that the NSD3::NUTM1 fusion can drive sarcoma genesis.
Magnesium Ion: A New Switch in Tumor Treatment
Authors: Huang Leyi , Lin Renxi , Chen Jiaxi , Qi Yuanlin , Lin Ling
Published: August 2024

The magnesium ion is an essential cation in the human body and participates in numerous physiological activities. A deficiency in magnesium ions is closely associated with tumor development, and supplementation with magnesium ions has been shown to partially inhibit tumor growth. However, the specific mechanisms by which magnesium ions suppress tumor proliferation remain unclear. Currently, studies have revealed that mitochondria may serve as a crucial intermediate link in the regulation of tumors by magnesium ions. Mitochondria might intervene in the proliferation and invasion of tumor cells by modulating energy metabolism and oxidative stress levels. Regrettably, there has been no comprehensive review of the role of magnesium in cancer therapy to date. Therefore, this article provides a comprehensive scrutiny of the relationship between magnesium ions and tumors, aiming to offer insights for clinical tumor treatment strategies involving magnesium ion intervention.
Current Applications and Future Perspectives of Artificial and Biomimetic Intelligence in Vascular Surgery and Peripheral Artery Disease
Authors: Martelli Eugenio , Capoccia Laura , Di Francesco Marco , Cavallo Eduardo , Pezzulla Maria Giulia , Giudice Giorgio , Bauleo Antonio , Coppola Giuseppe , Panagrosso Marco
Published: August 2024

Artificial Intelligence (AI) made its first appearance in 1956, and since then it has progressively introduced itself in healthcare systems and patients’ information and care. AI functions can be grouped under the following headings: Machine Learning (ML), Deep Learning (DL), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Computer Vision (CV). Biomimetic intelligence (BI) applies the principles of systems of nature to create biological algorithms, such as genetic and neural network, to be used in different scenarios. Chronic limb-threatening ischemia (CLTI) represents the last stage of peripheral artery disease (PAD) and has increased over recent years, together with the rise in prevalence of diabetes and population ageing. Nowadays, AI and BI grant the possibility of developing new diagnostic and treatment solutions in the vascular field, given the possibility of accessing clinical, biological, and imaging data. By assessing the vascular anatomy in every patient, as well as the burden of atherosclerosis, and classifying the level and degree of disease, sizing and planning the best endovascular treatment, defining the perioperative complications risk, integrating experiences and resources between different specialties, identifying latent PAD, thus offering evidence-based solutions and guiding surgeons in the choice of the best surgical technique, AI and BI challenge the role of the physician’s experience in PAD treatment.
Impedance Characteristics of Microfluidic Channels and Integrated Coplanar Parallel Electrodes as Design Parameters for Whole-Channel Analysis in Organ-on-Chip Micro-Systems
Authors: Rapier Crystal E. , Jagadeesan Srikanth , Vatine Gad D. , Ben-Yoav Hadar
Published: August 2024

Microfluidics have revolutionized cell culture by allowing for precise physical and chemical environmental control. Coupled with electrodes, microfluidic cell culture can be activated or have its changes sensed in real-time. We used our previously developed reliable and stable microfluidic device for cell growth and monitoring to design, fabricate, and characterize a whole-channel impedance-based sensor and used it to systematically assess the electrical and electrochemical influences of microfluidic channel boundaries coupled with varying electrode sizes, distances, coatings, and cell coverage. Our investigation includes both theoretical and experimental approaches to investigate how design parameters and insulating boundary conditions change impedance characteristics. We examined the system with various solutions using a frequency range of 0.5 Hz to 1 MHz and a modulation voltage of 50 mV. The results show that impedance is directly proportional to electrode distance and inversely proportional to electrode coating, area, and channel size. We also demonstrate that electrode spacing is a dominant factor contributing to impedance. In the end, we summarize all the relationships found and comment on the appropriateness of using this system to investigate barrier cells in blood vessel models and organ-on-a-chip devices. This fundamental study can help in the careful design of microfluidic culture constructs and models that require channel geometries and impedance-based biosensing.
Fluorogenic RNA-Based Biosensors of Small Molecules: Current Developments, Uses, and Perspectives
Authors: Kehrli Janine , Husser Claire , Ryckelynck Michael
Published: August 2024

Small molecules are highly relevant targets for detection and quantification. They are also used to diagnose and monitor the progression of disease and infectious processes and track the presence of contaminants. Fluorogenic RNA-based biosensors (FRBs) represent an appealing solution to the problem of detecting these targets. They combine the portability of molecular systems with the sensitivity and multiplexing capacity of fluorescence, as well as the exquisite ligand selectivity of RNA aptamers. In this review, we first present the different sensing and reporting aptamer modules currently available to design an FRB, together with the main methodologies used to discover modules with new specificities. We next introduce and discuss how both modules can be functionally connected prior to exploring the main applications for which FRB have been used. Finally, we conclude by discussing how using alternative nucleotide chemistries may improve FRB properties and further widen their application scope.
Coping Strategies in Patients with Acquired Brain Injury: A Scoping Review
Authors: Cardile Davide , Calderone Andrea , Pagano Maria , Cappadona Irene , Rifici Carmela , Quartarone Angelo , Corallo Francesco , Calabrò Rocco Salvatore
Published: August 2024

In recent years, there has been marked interest in looking at the psychological consequences of medical conditions, such as traumatic or acquired brain injuries. Coping strategies are essential for clinical recovery and for dealing with the stressful events that a clinical condition brings with it. The purpose of this review is to analyze studies that explore how coping strategies influence psychological changes in patients with acquired brain injury. Studies were identified from research in the PubMed, Scopus, and Embase databases. According to our findings, patients with ABI utilize different coping strategies based on the circumstances and factors such as the diagnosis severity, their age, time lived with the pathology, and personal characteristics, which have an influence on quality of life and rehabilitation. This review demonstrated that coping strategies have an impact on different aspects of the clinical and personal lives of patients with ABI. The rehabilitation process must consider the influence of these mechanisms on dealing with situations, as they can change cognitive and emotional perceptions of patients’ experience with the disease, as well as laying the foundations for functional or dysfunction in terms of the propensity of a person for the path of psychological and physical recovery.