bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated analysis of muscle lncRNA and mRNA of Chinese indigenous breed Ningxiang pig in four developmental stages
Authors: Chen Wenwu , Yang Fang , Liufu Sui , Li Zhi , Gong Yan , Ma Haiming
Published: October 2024

Meat and its derivatives serve as crucial sources of protein, vitamins, minerals, and other essential nutrients for humans. Pork stands as China’s primary animal-derived food product consumed widely across diverse dietary structures; evaluating intramuscular fat content becomes pivotal in assessing its quality standards. Nonetheless, the intricate molecular mechanisms governing intramuscular fat deposition remain elusive. Our study utilized sequencing technology to scrutinize longitudinal development stages within Ningxiang pig’s longest dorsal muscles aiming to unravel these underlying mechanisms. In three distinct comparisons (30d vs. 90d, 90d vs. 150d and 150d vs. 210d) there were 578, 1,000 and 3,238 differentially expressed mRNA, along with 16, 158 and 85 lncRNAs were identified. STEM analysis unveiled six enriched model profiles for lncRNAs while seven such profiles emerged for mRNAs; notably, multiple shared model profiles existed between both RNA types. Enriched analysis highlighted numerous genes from mRNA profile8 and lncRNA profile7 significantly associated with pathways linked to fat deposition. Weight Gene Co-Expression Network Analysis (WGCNA) revealed that differential expression modules (DMEs) & differential expression lncRNAs primarily clustered within cyan, dark slate blue and pale turquoise modules. Furthermore, target genes PKD2 (MSTRG21592.MTRSG8859 and MTRSG18175), COL5A1 (MTRSG9969 and MTRSG180) and SOX13 (MTRSG21592 and MTRSG9088) as core components all intricately tied into processes related to fat deposition. This study lays the groundwork for deeper exploration into the molecular mechanisms underlying LDM fat deposition traits, and it also presents candidate genes for future molecular marker-assisted breeding.
Perspective: Raman spectroscopy for detection and management of diseases affecting the nervous system
Authors: Robertson John L. , Sayed Issa Amr , Senger Ryan S.
Published: October 2024

Raman spectroscopy (RS) is used increasingly for disease detection, including diseases of the nervous system (CNS). This Perspective presents RS basics and how it has been applied to disease detection. Research that focused on using a novel Raman-based technology—Rametrix® Molecular Urinalysis (RMU)—for systemic disease detection is presented, demonstrated by an example of how the RS/RMU technology could be used for detection and management of diseases of the CNS in companion animals.
Screening of functional genes for hypoxia adaptation in Tibetan pigs by combined genome resequencing and transcriptome analysis
Authors: Ni Bin , Tang Lin , Zhu Li , Li Xinpeng , Zhang Kang , Nie Hongyu , Ye Zeyu , Wang Yiwen , Zhu Lijun , Kong Xiaoyan , Gou Xiao
Published: October 2024

The high-altitude, low-oxygen environment of the Qinghai-Tibet Plateau poses significant challenges for the introduction of superior livestock breeds. However, local plateau species have adapted to thrive and reproduce under these harsh conditions. Understanding the molecular mechanisms behind plateau animals’ adaptation to low-oxygen environments is essential for breeding livestock suited to high-altitude regions. Tibetan pigs, which have undergone long-term natural selection and artificial breeding, have developed the ability to survive and reproduce in hypoxic environments. In this study, we conducted whole-genome resequencing of 30 Tibetan pigs from high-altitude regions and 30 Diannan small-ear pigs from low-altitude areas, to identify candidate genes that support Tibetan pigs’ adaptation to hypoxic conditions through selection signal analysis. Additionally, we performed transcriptome sequencing on five tissues (heart, liver, spleen, lung, and bone marrow) from both Tibetan pigs and Diannan small-ear pigs to identify genes with significant differential expression between the two breeds. We then integrated the genomic and transcriptomic data by examining the expression of candidate genes identified in selection signal analysis across different tissues. The selection signal analysis identified 10 genes—HES4, ANGPT1, HIF3A, SPHK2, PCK2, RCN3, HIGD2A, DNM2, IRF9, and SRF—that were under positive selection in the Tibetan pig population and are associated with hypoxia adaptation. When combined with transcriptome data, we found that five of these genes—HIF3A, RCN3, HIGD2A, PCK2, and IRF9—exhibited differential expression. Through an integrated approach of selection signal and transcriptome analysis, we identified five key functional genes that contribute to the adaptation of Tibetan pigs to hypoxic environments. These findings offer new insights into the adaptability of plateau animals.
Molecular characterization of human adenovirus associated with pediatric severe acute respiratory infections in a tertiary care hospital in North East India
Authors: Nath Reema , Choudhury Gargi , Gogoi Arpita , Sarmah Neelanjana , Bhattacharya Neelakshi , Siddique Aktarul Islam , Neog Rahul , Dutta Mousumi , Jakharia Aniruddha , Borkakoty Biswajyoti
Published: October 2024

Purpose

The present study explored the molecular characterization of human Adenovirus (HAdV) and its strains among hospitalized SARI cases in the pediatric unit of a tertiary care hospital in North-East India.

Methods

Nasal and throat swabs were collected from 70 patients of Pediatric Unit, of a tertiary hospital in NE India from April 2023-October 2023. The samples were screened for the presence of HAdV using an adenovirus-specific Real-Time PCR Kit. For molecular characterization, Next Generation Sequencing (NGS) was performed by targeting the hexon gene of HAdV followed by post-sequencing analysis.

Results

Overall, 18.57% (13/70) of samples were positive for HAdV. In context of the severity of illness, 3/13 adenovirus-positive patients (23.07%) died after hospitalization, had severe pneumonia among which two were of less than one year of age. Molecular characterization using NGS indicated that 4/13 individuals were infected with HAdV-B type 3 and 5/13 patients were infected with HAdV type 7. Notably, 4/7 cases of severe pneumonia were under five years of age and associated with HAdV type 7 infection. The ratio of non-synonymous to synonymous mutation (dN/dS) was comparatively low in HAdV type 7 positive samples (dN/dS=0.31). No non-synonymous mutation was observed in HAdV-B type 3 positive samples. The higher neutrophil percentage among the death cases suggested an acute immune response.

Conclusion

The study demonstrated HAdV type 7 and HAdV-B type 3 as strains associated with pediatric SARI cases from April 2023-October 2023. Further, HAdV type 7 infection was primarily linked with lower respiratory tract infections mainly severe pneumonia.
Analysis of ChatGPT-3.5’s Potential in Generating NBME-Standard Pharmacology Questions: What Can Be Improved?
Authors: Saad Marwa , Almasri Wesam , Hye Tanvirul , Roni Monzurul , Mohiyeddini Changiz
Published: October 2024

ChatGPT by OpenAI is an AI model designed to generate human-like responses based on diverse datasets. Our study evaluated ChatGPT-3.5’s capability to generate pharmacology multiple-choice questions adhering to the NBME guidelines for USMLE Step exams. The initial findings show ChatGPT’s rapid adoption and potential in healthcare education and practice. However, concerns about its accuracy and depth of understanding prompted this evaluation. Using a structured prompt engineering process, ChatGPT was tasked to generate questions across various organ systems, which were then reviewed by pharmacology experts. ChatGPT consistently met the NBME criteria, achieving an average score of 13.7 out of 16 (85.6%) from expert 1 and 14.5 out of 16 (90.6%) from expert 2, with a combined average of 14.1 out of 16 (88.1%) (Kappa coefficient = 0.76). Despite these high scores, challenges in medical accuracy and depth were noted, often producing “pseudo vignettes” instead of in-depth clinical questions. ChatGPT-3.5 shows potential for generating NBME-style questions, but improvements in medical accuracy and understanding are crucial for its reliable use in medical education. This study underscores the need for AI models tailored to the medical domain to enhance educational tools for medical students.
Human Behavior in Space Exploration Missions
Authors: Gushin Vadim
Published: October 2024

Fifty years of human space exploration have allowed space psychology as an applied area of science to take major steps forward [...]
Circular Regenerative Agricultural Practices in Africa: Techniques and Their Potential for Soil Restoration and Sustainable Food Production
Authors: Tindwa Hamisi J. , Semu Ernest W. , Singh Bal Ram
Published: October 2024

The conventional linear system of global food production and consumption is unsustainable as it is responsible for a substantial share of greenhouse gas emissions, biodiversity declines due land use change, agricultural water stress due resource-intensive water consumption patterns and land degradation. During the last decade (1994–2014), for example, the greenhouse emissions from agriculture in Africa were reported to increase at an average annual rate of between 2.9% and 3.1%, equivalent to 0.44 Gt and 0.54 Gt CO2 per annum, respectively. Between 2000 and 2020, the greenhouse gas emissions from agrifood systems were shown to decrease in all major regions of the world, except in Africa and Asia, where they grew by 35 and 20 percent, respectively. With most of the circular agricultural practices still central to food production in the developing African countries, the continent can spearhead a global return to circular agriculture. Using a descriptive review approach, we explore the literature to examine the extent to which African agriculture is deploying these practices, the potential areas for improvement and lessons for the world in embracing sustainable food production. We underscore that the farming communities in sub-Saharan Africa have, for decades, been using some of the most effective circular agricultural principles and practices in agricultural production. We further show that practices and strategies akin to sustainable agricultural production include agronomic practices, smart irrigation options, renewable energy harvesting and waste-to-fertilizer technologies. All of these technologies, which are central to sustainable agricultural production, are not new to Africa, although they may require packaging and advocacy to reach a wider community in sub-Saharan Africa.
Garnet-Type Zinc Hexacyanoferrates as Lithium, Sodium, and Potassium Solid Electrolytes
Authors: Karger Leonhard , Murugan Saravanakumar , Wang Liping , Zhao-Karger Zhirong , Kondrakov Aleksandr , Strauss Florian , Brezesinski Torsten
Published: October 2024

Sodium-ion batteries offer an attractive alternative to lithium-based chemistries due to the lower cost and abundance of sodium compared to lithium. Using solid electrolytes instead of liquid ones in such batteries may help improve safety and energy density, but they need to combine easy processing with high stability toward the electrodes. Herein, we describe a new class of solid electrolytes that are accessible by room-temperature, aqueous synthesis. The materials exhibit a garnet-type zinc hexacyanoferrate framework with large diffusion channels for alkaline ions. Specifically, they show superionic behavior and allow for facile processing into pellets. We compare the structure, stability, and transport properties of lithium-, sodium-, and potassium-containing zinc hexacyanoferrates and find that Na2Zn3[Fe(CN)6]2 achieves the highest ionic conductivity of up to 0.21 mS/cm at room temperature. In addition, the electrochemical performance and stability of the latter solid electrolyte are examined in solid-state sodium-ion batteries.
A Review on Advanced Battery Thermal Management Systems for Fast Charging in Electric Vehicles
Authors: Tai Le Duc , Garud Kunal Sandip , Hwang Seong-Guk , Lee Moo-Yeon
Published: October 2024

To protect the environment and reduce dependence on fossil fuels, the world is shifting towards electric vehicles (EVs) as a sustainable solution. The development of fast charging technologies for EVs to reduce charging time and increase operating range is essential to replace traditional internal combustion engine (ICE) vehicles. Lithium-ion batteries (LIBs) are efficient energy storage systems in EVs. However, the efficiency of LIBs depends significantly on their working temperature range. However, the huge amount of heat generated during fast charging increases battery temperature uncontrollably and may lead to thermal runaway, which poses serious hazards during the operation of EVs. In addition, fast charging with high current accelerates battery aging and seriously reduces battery capacity. Therefore, an effective and advanced battery thermal management system (BTMS) is essential to ensure the performance, lifetime, and safety of LIBs, particularly under extreme charging conditions. In this perspective, the current review presents the state-of-the-art thermal management strategies for LIBs during fast charging. The serious thermal problems owing to heat generated during fast charging and its impacts on LIBs are discussed. The core part of this review presents advanced cooling strategies such as indirect liquid cooling, immersion cooling, and hybrid cooling for the thermal management of batteries during fast charging based on recently published research studies in the period of 2019–2024 (5 years). Finally, the key findings and potential directions for next-generation BTMSs toward fast charging are proposed. This review offers an in-depth analysis by providing recommendations and potential solutions to develop reliable and efficient BTMSs for LIBs during fast charging.
Prognostic Role of PSMA-Targeted Imaging in Metastatic Castration-Resistant Prostate Cancer: An Overview
Authors: Caracciolo Matteo , Castello Angelo , Castellani Massimo , Bartolomei Mirco , Lopci Egesta
Published: October 2024

Objectives: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) has gained a primary role in prostate cancer (PCa) imaging, overcoming conventional imaging and prostate-specific antigen (PSA) serum levels, and has recently emerged as a promising technique for monitoring therapy response in metastatic castration-resistant prostate cancer (mCRPC) patients treated with novel hormonal therapy, taxanes, and radioligand therapy (RLT). In this review, we aim to provide an overview of the most relevant aspects under study and future prospects related to the prognostic role of PSMA PET/CT in mCRPC. Methods: A systematic literature search was performed in the following databases: MEDLINE, PubMed, and EMBASE databases. The study focused exclusively on English-language studies, excluding papers not pertinent to the topic. Results: PSMA PET imaging offers a higher sensitivity and specificity than conventional imaging and provides accurate staging and efficient diagnosis of distant metastases. The data presented herein highlight the usefulness of PET in risk stratification, with a prognostic potential that can have a significant impact on clinical practice. Several prospective trials are ongoing and will shortly provide more evidence supporting the prognostic potential of PET PSMA data in this clinical scenario. Conclusions: Current evidence proves the prognostic role of PSMA PET/CT in different settings, with raising relevance also in the context of mCRPC.
Oral Spore-Based Probiotic Supplementation Alters Post-Prandial Expression of mRNA Associated with Gastrointestinal Health
Authors: McFarlin Brian K. , Deemer Sarah E. , Bridgeman Elizabeth A.
Published: October 2024

Background/Objectives: Unregulated post-prandial dietary endotoxemia may accumulate over time and underlie the development of chronic disease (e.g., leaky gut, inflammatory bowel disease, etc.), for which oral probiotic supplementation may be a prophylactic. The purpose of this study was to determine if 45 d of oral spore-based probiotic supplementation altered gastrointestinal-associated mRNA expression following a high-fat meal. Methods: A subset of apparently healthy individuals from a larger study who had dietary endotoxemia at baseline completed 45 d of supplementation with either a placebo (rice flour; n = 10) or spore-based probiotic (Megasporebiotic™; Novonesis, Kongens Lyngby, Denmark; Bacillus indicus (HU36™), Bacillus subtilis (HU58™), Bacillus coagulans (SC208™), and Bacillus licheniformis (SL-307), and Bacillus clausii (SC109™); n = 10). Venous blood was collected in Paxgene RNA tubes prior to (PRE), 3 h, and 5 h after consumption of a high-fat meal (85% of the daily fat RDA and 65% of the daily calorie needs). Total RNA was analyzed for 579 mRNAs of interest (Nanostring nCounter Sprint; Seattle, WA, USA). After normalization to housekeeping controls and calculation of differential expression relative to PRE and controlled for FDR, 15 mRNAs were determined to be significantly changed at either 3 h and/or 5 h post-prandial in the probiotic group but not in the placebo group. Results: Significant mRNA expressions were associated with gastrointestinal tract barrier function (four mRNAs: BATF3, CCR6, CXCR6, and PDCD2), gastrointestinal immunity (four mRNAs: CLEC5A, IL7, CARD9, and FCER1G), or future IBD risk (seven mRNAs: PD-L1, CSF1R, FAS, BID, FADD, GATA3, and KIR3DL). Conclusions: Collectively, the present findings may support the notion that post-prandial immune response to eating is enhanced following 45 d of probiotic supplementation.
Cognitive Impairment and Synaptic Dysfunction in Cardiovascular Disorders: The New Frontiers of the Heart–Brain Axis
Authors: Soda Teresa , Pasqua Teresa , De Sarro Giovambattista , Moccia Francesco
Published: October 2024

Within the central nervous system, synaptic plasticity, fundamental to processes like learning and memory, is largely driven by activity-dependent changes in synaptic strength. This plasticity often manifests as long-term potentiation (LTP) and long-term depression (LTD), which are bidirectional modulations of synaptic efficacy. Strong epidemiological and experimental evidence show that the heart–brain axis could be severely compromised by both neurological and cardiovascular disorders. Particularly, cardiovascular disorders, such as heart failure, hypertension, obesity, diabetes and insulin resistance, and arrhythmias, may lead to cognitive impairment, a condition known as cardiogenic dementia. Herein, we review the available knowledge on the synaptic and molecular mechanisms by which cardiogenic dementia may arise and describe how LTP and/or LTD induction and maintenance may be compromised in the CA1 region of the hippocampus by heart failure, metabolic syndrome, and arrhythmias. We also discuss the emerging evidence that endothelial dysfunction may contribute to directly altering hippocampal LTP by impairing the synaptically induced activation of the endothelial nitric oxide synthase. A better understanding of how CV disorders impact on the proper function of central synapses will shed novel light on the molecular underpinnings of cardiogenic dementia, thereby providing a new perspective for more specific pharmacological treatments.
ABCA3 c.838C>T (p.Arg280Cys, R280C) and c.697C>T (p.Gln233Ter, Q233X, Q233*) as Causative Variants for RDS: A Family Case Study and Literature Review
Authors: Ognean Maria Livia , Anciuc-Crauciuc Mădălina , Galiș Radu , Stepan Alex-Emilian , Stepan Mioara Desdemona , Bănescu Claudia , Grosu Florin , Kramer Boris W. , Cucerea Manuela
Published: October 2024

Background: Respiratory distress syndrome (RDS) is the primary cause of respiratory failure in preterm infants, but it also affects 5–7% of term infants. Dysfunctions in pulmonary surfactant metabolism, resulting from mutations of the lung surfactant genes, are rare diseases, ranging from fatal neonatal RDS to interstitial lung disease, associated with increased morbidity and mortality. This study aims to clarify the clinical significance of ABCA3 variants found in a specific family case, as existing data in the literature are inconsistent. Material and Methods: A family case report was conducted; targeted panel genetic testing identified a variant of the SFTPB gene and two variants of ABCA3 genes. Comprehensive research involving a systematic review of PubMed, Google Scholar databases, and genome browsers was used to clarify the pathogenicity of the two ABCA3 variants found in the index patient. Advanced prediction tools were employed to assess the pathogenicity of the two ABCA3 variants, ensuring the validity and reliability of our findings. Results: The index case exhibited fatal neonatal RDS. Genetic testing revealed the presence of the SFTPB p.Val267Ile variant, which was not previously reported but is a benign variant based on family genetic testing and history. Additionally, two ABCA3 gene variants were identified: c.697C>T, not yet reported, and c.838C>T. These variants were found to affect ABCA3 protein function and were likely associated with neonatal RDS. Prediction tools and data from nine other cases in the literature supported this conclusion. Conclusions: Based on in silico predictors, an analysis of the presented family, and cases described in the literature, it is reasonable to consider reclassifying the two ABCA3 variants identified in the index case as pathogenic/pathogenic. Reclassification will improve genetic counseling accuracy and facilitate correct diagnosis.
The Clinical and Sonographic Features of Cervical Muscle Involvement in Patients with Frozen Shoulder: A Retrospective Study
Authors: Tang Alice Chu-Wen , Huang Shih-Ting , Wu Szu-Yuan , Tang Simon Fuk-Tan
Published: October 2024

Background/Objectives: Frozen shoulder is a common shoulder disorder that often places limitations on the range of motion of the shoulder. The disease may induce neck pain due to overuse of the neck muscle in an attempt to compensate for lack of shoulder movement. In clinical practice, swelling and inflammation of the scalene and levator scapulae may be detected via sonography in patients with frozen shoulder. The aim of this study was, therefore, to determine whether the involvement of the scalene complex or levator scapulae could compensate for the limited motion of the shoulder in patients with frozen shoulder. Methods: We retrospectively reviewed the medical records of 362 patients with unilateral frozen shoulder. These patients were divided into four groups depending on the involvement of the scalene complex or levator scapulae muscle. The range of motion of the shoulder—encompassing flexion, abduction, and external rotation—was measured with a goniometer. We also performed an ultrasound scan on each shoulder. The involvement of the scalene complex and levator scapulae muscle was also assessed via musculoskeletal ultrasound. Results: The range of motion of the shoulder in terms of flexion, abduction, external rotation, and total range of motion differed significantly between the four groups (p < 0.05). Patients in whom the scalene complex or levator scapulae muscle was involved demonstrated a significantly wider range of motion in different shoulder directions than patients without the involvement of those muscles (p < 0.05). Conclusions: A greater range of motion in the shoulder can be obtained through the activation of the scalene complex or levator scapulae muscle, which act to compensate for the lack of shoulder movement in patients with frozen shoulder. These two muscles showed thickening and hypoechoic changes upon sonography.
The Generation of ROS by Exposure to Trihalomethanes Promotes the IκBα/NF-κB/p65 Complex Dissociation in Human Lung Fibroblast
Authors: Nájera-Martínez Minerva , Lara-Vega Israel , Avilez-Alvarado Jhonatan , Pagadala Nataraj S. , Dzul-Caamal Ricardo , Domínguez-López María Lilia , Tuszynski Jack , Vega-López Armando
Published: October 2024

Background: Disinfection by-products used to obtain drinking water, including halomethanes (HMs) such as CH2Cl2, CHCl3, and BrCHCl2, induce cytotoxicity and hyperproliferation in human lung fibroblasts (MRC-5). Enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) modulate these damages through their biotransformation processes, potentially generating toxic metabolites. However, the role of the oxidative stress response in cellular hyperproliferation, modulated by nuclear factor-kappa B (NF-κB), remains unclear. Methods: In this study, MRC-5 cells were treated with these compounds to evaluate reactive oxygen species (ROS) production, lipid peroxidation, phospho-NF-κB/p65 (Ser536) levels, and the activities of SOD, CAT, and GPx. Additionally, the interactions between HMs and ROS with the IκBα/NF-κB/p65 complex were analyzed using molecular docking. Results: Correlation analysis among biomarkers revealed positive relationships between pro-oxidant damage and antioxidant responses, particularly in cells treated with CH2Cl2 and BrCHCl2. Conversely, negative relationships were observed between ROS levels and NF-κB/p65 levels in cells treated with CH2Cl2 and CHCl3. The estimated relative free energy of binding using thermodynamic integration with the p65 subunit of NF-κB was −3.3 kcal/mol for BrCHCl2, −3.5 kcal/mol for both CHCl3 and O2•, and −3.6 kcal/mol for H2O2. Conclusions: Chloride and bromide atoms were found in close contact with IPT domain residues, particularly in the RHD region involved in DNA binding. Ser281 is located within this domain, facilitating the phosphorylation of this protein. Similarly, both ROS interacted with the IPT domain in the RHD region, with H2O2 forming a side-chain oxygen interaction with Leu280 adjacent to the phosphorylation site of p65. However, the negative correlation between ROS and phospho-NF-κB/p65 suggests that steric hindrance by ROS on the C-terminal domain of NF-κB/p65 may play a role in the antioxidant response.
Hepatitis C Infection Is Not a Cardiovascular Risk Factor in Young Adults
Authors: Rajewski Paweł , Pawłowska Małgorzata , Kozielewicz Dorota , Dybowska Dorota , Olczak Anita , Cieściński Jakub
Published: October 2024

Background: Cardiovascular diseases are one of the leading causes of hospitalization and death in Poland and around the world and are still an ongoing problem for modern medicine. Despite advances in diagnosis and treatment, both conservative and invasive, the prevention of cardiovascular disease directed at reducing risk factors remains a problem. The main classical risk factors for the development of cardiovascular disease in Poland include hypertension, lipid disorders, obesity, diabetes and smoking. A new non-classical risk factor is HCV infection. Most of the studies on the impact of HCV infection on cardiovascular disease involve elderly populations with long-term infections and advanced liver fibrosis. Methods: Hence, we set out to analyze the prevalence of risk factors and cardiovascular disease in a population of young adults under 45 years of age infected with HCV, according to gender, HCV genotype and the duration of infection. The study group consisted of 217 patients of both sexes aged 21 to 45 years (mean age 36 years). Results: No cardiovascular disease was found among the young adults infected with HCV in the study group. The most common risk factor was cigarette smoking, which affected 20.7% of the subjects, followed by hypertension (12%) and diabetes mellitus (5.5%); the prevalence was lower than in the general population. Most of the patients were characterized as overweight, with a mean BMI of 26.39 kg/m2. The mean values of other metabolic parameters—total cholesterol, LDL, HDL, uric acid and glucose—were within the population norm. The mean value of CRP was 1.43, which may indicate a moderate cardiovascular risk. Conclusions: Based on the conducted research, it was found that HCV infection in young individuals was not a risk factor for cardiovascular diseases, and the prevalence of risk factors was similar to that in the general population. The effect of HCV on the increase in C-reactive protein requires further study. The early detection of HCV infection and treatment can be considered as a prevention of cardiovascular disease.
A Pilot Study of the Role of Semaphorin 4A (sema4A) and 3C (sema3C) in Non-Muscle-Invasive Bladder Cancer (NMIBC)
Authors: Purpurowicz Piotr , Kaminski Tomasz W. , Kordan Władysław , Korzekwa Anna , Purpurowicz Zbigniew , Jabłonowski Zbigniew
Published: October 2024

Background/Objectives: Bladder cancer is a very important issue in contemporary urology. The aim of this pilot study was to assess for the first time the clinical utility of semaphorin 3C (sema3C) and 4A (sema4A) in patients with non-muscle-invasive bladder cancer (NMIBC). Methods: The experiment involved 15 patients with NMIBC and 5 patients without malignancies as the control group. Plasma and urinary concentrations of sema3C and sema4A were assessed by using an enzyme-linked immunosorbent assay (ELISA). Urinary sema4A concentration was below the detection level. Results: There was no statistically significant difference between patients and controls in terms of plasma sema4A and sema3C or urinary sema3C concentrations (p > 0.05). There was a significantly higher sema3C plasma concentration in patients with low-grade tumors (p = 0.0132) and an upward trend in sema4A plasma concentration for the subjects with Ta-stage tumors. Urinary sema3C concentration positively correlated with tumor size (R = 0.57, p = 0.03). Plasma sema3C concentration correlated negatively with tumor grade (R = −0.62, p = 0.01). Conclusions: Urinary sema4A concentration, which is below the detection threshold, is unlikely to be useful as a marker of NMIBC. Plasma sema4A concentration and sema3C concentration in plasma and urine cannot be used as stand-alone markers of NMIBC at this point. The plasma concentration of sema3C can potentially be considered in the future as a marker for tumors of lower grades. Plasma sema4A concentration could potentially be considered in the future as a marker for tumors of earlier stages. All of these observations are preliminary, so they have to be assessed in larger cohorts to make reliable recommendations. Nevertheless, our study lays the groundwork for further research to develop potential tests that could be used in daily practice to monitor and predict the course of cancer.
Skin Microbiota, Immune Cell, and Skin Fibrosis: A Comprehensive Mendelian Randomization Study
Authors: Zhao Zirui , Rong Yanchao , Yin Rong , Zeng Ruixi , Xu Zhongye , Lv Dongming , Hu Zhicheng , Cao Xiaoling , Tang Bing
Published: October 2024

Background: Microbiota dysbiosis has been reported to lead to leaky epithelia and trigger numerous dermatological conditions. However, potential causal associations between skin microbiota and skin fibrosis and whether immune cells act as mediators remain unclear. Methods: Summary statistics of skin microbiota, immune cells, and skin fibrosis were identified from large-scale genome-wide association studies summary data. Bidirectional Mendelian randomization was performed to ascertain unidirectional causal effects between skin microbiota, immune cells, and skin fibrosis. We performed a mediation analysis to identify the role of immune cells in the pathway from skin microbiota to skin fibrosis. Results: Three specific skin microbiotas were positively associated with skin fibrosis, while the other three were negative. A total of 15 immune cell traits were associated with increased skin fibrosis risk, while 27 were associated with a decreased risk. Moreover, two immune cell traits were identified as mediating factors. Conclusions: Causal associations were identified between skin microbiota, immune cells, and skin fibrosis. There is evidence that immune cells exert mediating effects on skin microbiota in skin fibrosis. In addition, some strains exhibit different effects on skin fibrosis in distinct environments.
Endothelial Biomarkers Are Superior to Classic Inflammatory Biomarkers in Community-Acquired Pneumonia
Authors: González-Jiménez Paula , Piqueras Mónica , Latorre Ana , Tortosa-Carreres Jordi , Mengot Noé , Alonso Ricardo , Reyes Soledad , Amara-Elori Isabel , Martínez-Dolz Luis , Moscardó Antonio , Menéndez Rosario , Méndez Raúl
Published: October 2024

Background: Complications in community-acquired pneumonia (CAP), including cardiovascular events (CVE), can occur during an acute episode and in the long term. We aimed to analyse the role of endothelial damage biomarkers (C-terminal endothelin-1 precursor fragment [CT-proET-1] and mid-regional pro-adrenomedullin [MR-proADM]), in contrast to classic inflammation markers (C Reactive Protein [CRP] and procalcitonin [PCT]) in patients admitted for CAP and their relationship with ICU admission, CVE and mortality in the short and long term; Methods: Biomarkers were analysed in 515 patients with CAP at day 1, 285 at day 5 and 280 at day 30. Traditional inflammatory biomarkers and endothelial damage biomarkers were measured. ICU admission, CVE and mortality (in-hospital and 1-year follow-up) were assessed using receiver operating characteristic (ROC) curve analysis and univariate logistic regression. Results: A statistically significant association was observed between initial, raised CT-proET-1 and MR-proADM levels, the need for ICU admission and the development of in-hospital CVE or in-hospital mortality. Both endothelial markers maintained a strong association at day 30 with 1-year follow-up CVE. At day 1, CRP and PCT were only associated with ICU admission. On day 30, there was no association between inflammatory markers and long-term CVE or death. The odds ratio (OR) and area under the curve (AUC) of endothelial biomarkers were superior to those of classic biomarkers for all outcomes considered. Conclusions: Endothelial biomarkers are better indicators than classic ones in predicting worse outcomes in both the short and long term, especially CVE. MR-proADM is the best biomarker for predicting complications in CAP.
Microvascular and Structural Characterization of Birdshot Chorioretinitis in Active and Inactive Phases
Authors: Moll-Udina Aina , Dotti-Boada Marina , Rodríguez Anabel , Sainz-de-la-Maza Maite , Adán Alfredo , Llorenç Victor
Published: October 2024

Objective: This study aimed to examine microvascular changes and identify predictors of short-term quiescence in active birdshot chorioretinitis (BSCR). Methods: An observational, prospective, 12-month follow-up cohort study was conducted. BSCR eyes were clinically assessed at baseline, categorized as active or inactive, and reevaluated at 12 months. Based on their clinical activity at both timepoints, eyes were divided into three subgroups: active-to-inactive (A-I), consistently active (A-A), and consistently inactive (I-I). Structural OCT, OCT-angiography (OCT-A), and ultra-widefield imaging were utilized. Exam data from fundus and nasal subfields were analyzed for microvascular changes and quiescence predictors. Results: Sixty eyes from 30 BSCR patients (47% women, 53% men, mean age 59.7 ± 12.3 years) were included. In the A-I group (16 eyes), vascular density and perfusion indices increased in all subfields post-quiescence, contrasting with the other groups. Perifoveal looping in the superficial capillary plexus predicted quiescence at 12 months compared with the A-A group. Conclusions: Vascular density rises after complete inflammation control in BSCR, and perifoveal capillary loops serve as potential predictors of short-term quiescence in active BSCR.
Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders
Authors: Calderone Andrea , Latella Desiree , Bonanno Mirjam , Quartarone Angelo , Mojdehdehbaher Sepehr , Celesti Antonio , Calabrò Rocco Salvatore
Published: October 2024

Background and Objectives: Neurological disorders like stroke, spinal cord injury (SCI), and Parkinson’s disease (PD) significantly affect global health, requiring accurate diagnosis and long-term neurorehabilitation. Artificial intelligence (AI), such as machine learning (ML), may enhance early diagnosis, personalize treatment, and optimize rehabilitation through predictive analytics, robotic systems, and brain-computer interfaces, improving outcomes for patients. This systematic review examines how AI and ML systems influence diagnosis and treatment in neurorehabilitation among neurological disorders. Materials and Methods: Studies were identified from an online search of PubMed, Web of Science, and Scopus databases with a search time range from 2014 to 2024. This review has been registered on Open OSF (n) EH9PT. Results: Recent advancements in AI and ML are revolutionizing motor rehabilitation and diagnosis for conditions like stroke, SCI, and PD, offering new opportunities for personalized care and improved outcomes. These technologies enhance clinical assessments, therapy personalization, and remote monitoring, providing more precise interventions and better long-term management. Conclusions: AI is revolutionizing neurorehabilitation, offering personalized, data-driven treatments that enhance recovery in neurological disorders. Future efforts should focus on large-scale validation, ethical considerations, and expanding access to advanced, home-based care.
Assessment of the Adaptive Behavior of Young Children with Visual Impairments in an Early Intervention Service: A Pilot Study
Authors: Caron Valerie , Badaracco Sibilla , Petitpierre Geneviève , Yousefi Saheb
Published: October 2024

Introduction: Adaptive behavior, defined as a critical set of skills learned and performed throughout daily life to cope with society’s age-appropriate expectations, is a central concept for people with disabilities in both clinical and research contexts. As AB is an essential component of daily functioning, assessment is necessary both for the diagnostic process and for intervention, as it enables scores to be compared with the developmental norm, identifies strengths and weaknesses of the persons and monitors the progress of interventions. AB assessment is common in children with developmental delays but less common in children with visual impairment (VI). The aim of this study was to evaluate the AB of young children with VI through a pilot study and descriptive data. Methods: The participants were recruited through an early childhood special needs education service specialized in VI in the French-speaking part of Switzerland. Overall, 10 families gave their consent for their child to be assessed using the Vineland Adaptative Behavior Scale-II (VABS-II) completed by their early childhood educator. Results: Globally, the results showed that participants were rated between the Adapted to Moderately High levels. The highest domains were in the areas of communication, daily living skills and socialization. Discussion: The results showed a trend that is superior to previous studies assessing the AB of a similar population. As a result, one obvious perspective would be to adapt the scale to ensure that the items assessed are more consistent with the specificities of their development and the intervention priorities, enabling them to achieve adaptive behavior and independence in carrying out activities of daily living.
Computing the Commonalities of Clusters in Resource Description Framework: Computational Aspects
Authors: Colucci Simona , Donini Francesco Maria , Di Sciascio Eugenio
Published: October 2024

Clustering is a very common means of analysis of the data present in large datasets, with the aims of understanding and summarizing the data and discovering similarities, among other goals. However, despite the present success of the use of subsymbolic methods for data clustering, a description of the obtained clusters cannot rely on the intricacies of the subsymbolic processing. For clusters of data expressed in a Resource Description Framework (RDF), we extend and implement an optimized, previously proposed, logic-based methodology that computes an RDF structure—called a Common Subsumer—describing the commonalities among all resources. We tested our implementation with two open, and very different, RDF datasets: one devoted to public procurement, and the other devoted to drugs in pharmacology. For both datasets, we were able to provide reasonably concise and readable descriptions of clusters with up to 1800 resources. Our analysis shows the viability of our methodology and computation, and paves the way for general cluster explanations to be provided to lay users.
RANS Simulation of Minimum Ignition Energy of Stoichiometric and Leaner CH4/Air Mixtures at Higher Pressures in Quiescent Conditions
Authors: Paleli Vasudevan Sooraj , Muppala Siva P. R.
Published: October 2024

Minimum ignition energy (MIE) has been extensively studied via experiments and simulations. However, our literature review reveals little quantitative consistency, with results varying from 0.324 to 1.349 mJ for ϕ = 1.0 and from 0.22 to 0.944 mJ for ϕ = 0.9. Therefore, there is a need to resolve these discrepancies. This RANS study aims to partially address this knowledge gap. Additionally, it presents other flame evolution parameters essential for robust combustion design. Using the reactingFOAM solver, we predict the threshold energy required to ignite the fuel mixture. For this, the single step using the Arrhenius law is selected to model ignition in the flame kernel of stochiometric and lean CH4/air mixtures, allowing it to develop into a self-sustained flame. The ignition power density, an energy quantity normalised with volume, is incrementally varied, keeping the kernel critical radius rs constant at 0.5 mm in the quiescent mixture of two equivalence ratios ϕ 0.9 and 1.0, for varied operating pressures of 1, 5, and 10 bar at the constant initial temperature of 300 K. The minimum ignition energy is validated with twelve independent 1-bar datasets both numerically and experimentally. The effect of pressure on MIEs, which diminish as pressure rises, is significant. At ϕ = 1.0 (and 0.9), the flame temperature reached 481.24 K (457.803 K) at 1 bar, 443.176 K (427.356 K) at 5 bar, and 385.56 K (382.688 K) at 10 bar. The minimum ignition energy was validated using twelve independent 1-bar datasets from both numerical simulations and experiments. The results show strong agreement with many experimental findings. Finally, a mathematical formulation of MIE is devised; a function of pressure and equivalence ratio shows a slightly curved relationship.
Assessment of Changes in Sensory Characteristics of Strawberries during 5-Day Storage through Correlation between Human Senses and Electronic Senses
Authors: Moazzem Md Shakir , Hayden Michelle , Kim Dong-Joo , Cho Sungeun
Published: October 2024

In the last decade, significant efforts have been made to predict sensory characteristics using electronic senses, such as the electronic nose (e-nose) and the electronic tongue (e-tongue), and discuss their relationship to the eating quality evaluated by human panels. This study was conducted (1) to characterize the aroma and taste profiles of strawberries over a 5-day storage period (4 °C) using both electronic senses and human panels and (2) to correlate the electronic sense data with human panel data. A total of 10 sensory attributes of strawberries, including 7 aroma and 3 taste attributes, were analyzed by a descriptive sensory panel (n = 16) over the five days. Although the human panel did not find significant differences in the intensities of the strawberry attributes over the five days, the intensity ratings showed an increasing or decreasing trend over the storage period. However, the e-nose and the e-tongue discriminated each of the storage days of the strawberry samples. Furthermore, the partial least square regression coefficients of determination (R2) indicated that the e-nose and the e-tongue were highly predictive in their evaluation of the intensities of all the descriptive sensory attributes. Lastly, the concentrations of furaneol, one of the key volatiles imparting a distinct ripe strawberry aroma, were determined using an e-nose to correlate with the intensities of aroma attributes evaluated by the panel. A significant positive Pearson’s correlation coefficient was found with the intensities of overripe aroma. The findings indicate the potential of electronic senses to determine sensory characteristics and their excellent capability to predict the eating quality of strawberries.
Proteomic Analysis of the Major Alkali-Soluble Inca Peanut (Plukenetia volubilis) Proteins
Authors: Torres-Sánchez Erwin , Morato Esperanza , Hernández-Ledesma Blanca , Gutiérrez Luis-Felipe
Published: October 2024

Sacha Inchi (Plukenetia volubilis) oil press-cake (SIPC) represents a new source of proteins of high biological value, with promissory food applications. However, knowledge of these proteins remains limited. In this study, a Sacha Inchi protein concentrate (SPC) was extracted from the SIPC, and proteomic analysis was performed to identify the major alkaline-soluble proteins. The electrophoretic profile highlighted the efficacy of alkaline pH and moderate temperature to extract the major proteins, from which a group of proteins, not previously reported, were registered. LC-MS/MS analyses produced abundant high-quality fragmentation spectra. Utilizing the Euphorbiaceae database (DB), 226 proteins were identified, with numerous well-assigned spectra remaining unidentified. PEAKS Studio v11.5 software generated 1819 high-quality de novo peptides. Data are available via ProteomeXchange with identifier PXD052665. Gene ontology (GO) classification allowed the identification of sequenced proteins associated with biological processes, molecular functions, and cellular components in the seed. Consequently, the principal alkali-soluble proteins from SPC were characterized through derived functional analysis, covering 24 seed-storage-, 27 defense-, and 12 carbohydrate- and lipid-metabolism-related proteins, crucial for human nutrition due to their sulfur-containing amino acids, antioxidant properties, and oil yields, respectively. This research makes a significant contribution to the current understanding of the Sacha Inchi proteome and offers valuable insights for its potential applications in the food industry.
Exploring Food Preferences as a Pre-Step for Developing Diabetes-Friendly Options in Adults with Diabetes and Prediabetes
Authors: Choi Sungeun , Choi Jihee
Published: October 2024

Given the low compliance with healthy eating among patients with diabetes, personalized dietary plans incorporating their food preferences are urgently needed. However, few studies have explored the food preferences of adults with diabetes or prediabetes (AdDMP). We aimed to examine taste and food preferences among AdDMP, comparing them by sex, age, and weight status. A total of 415 AdDMP completed the survey via Amazon Mechanical Turk in 2023 (53% women, 47% men; 20–70 years old). Food/taste preferences were measured using Likert-type scales for six taste-cluster food groups, as well as basic tastes/spicy flavor. Open-ended questions assessed comfort, favorite, and least favorite foods, which were then categorized into five groups. Independent t-tests, analysis of variance, and Tukey–HSD were performed to compare outcomes across the groups. Men, the 41–70-year-old group, and the obese group regarded warm food as a comfort food more than in other comparable groups, while women and the 20–30-year-old group tend to prefer fruits and vegetables. Additionally, men expressed a significantly higher preference for salty-/umami-/fat-tasting foods compared to women. These findings underscore the need to align dietary expectations with reality for AdDMP. Future research should focus on strategies to accommodate their preferences within a healthy eating framework.