Excellent Value Research Articles

Analysis and identification of ferroptosis-related diagnostic markers in rheumatoid arthritis.

Rheumatoid arthritis (RA) is an autoimmune, inflammatory joint disease. There is growing evidence that ferroptosis is involved in the pathogenesis of RA. This study aimed to search for diagnostic markers of ferroptosis in RA and to analyse the potential mechanisms and clinical value. RA-associated datasets were used from the publicly available GEO database. Three methods of machine learning were applied to screen biomarkers. The diagnostic efficacy of the results was also verified by receiver operating characteristic (ROC) curve, external dataset, qRT-PCR and Western blot. Enrichment analysis was performed in this process, while protein-protein interaction (PPI) analysis and immune infiltration correlation analysis were performed using biomarkers, and competing endogenous RNA (ceRNA) networks were constructed to search for prospective therapeutic targets. MMP13 and GABARAPL1 can be used as ferroptosis diagnostic genes in RA. The ROC curve and PPI result demonstrated that MMP13 and GABARAPL1 had an excellent diagnostic value. The results of signature genes in the external dataset, qRT-PCR and Western blot further confirm our findings. The enrichment analysis showed that p53, MAPK and NOD-like receptor signalling pathways may be involved in the process of ferroptosis in RA. In addition, two ferroptosis diagnostic genes in RA participate in the occurrence of ferroptosis in RA via oxidative stress, metabolism and immune response. Immune infiltration analysis showed that RA extensively infiltrated B cells, T cells, macrophages and other immune cells. Persistent immune activation may be an essential reason for the progression of ferroptosis in RA. We also obtained five potential therapeutic agents for RA and some long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) regulating ferroptosis diagnostic genes. Our study suggests that MMP13 and GABARAPL1, which are closely linked with oxidative stress and immunological modulation, can be used as ferroptosis-related potential diagnostic markers in RA and provide new clues regarding the diagnostic and therapeutic targets of ferroptosis in RA.

Comparison of Manual vs Artificial Intelligence-Based Muscle MRI Segmentation for Evaluating Disease Progression in Patients With CMT1A.

Intramuscular fat fraction (FF), assessed with quantitative MRI (qMRI), has emerged as one of the few responsive outcome measures in CMT1A patients. The main limitation for its use in future therapeutic trials is the time required for the manual segmentation of individual muscles. This study aimed to evaluate the accuracy and responsiveness of a fully automatic artificial intelligence (AI)-based segmentation pipeline to assess disease progression in a cohort of CMT1A patients over 1 year. Twenty CMT1A patients were included in this observational, prospective, longitudinal study. FF was measured twice a year apart using qMRI in the lower limbs. Individual muscle segmentation was performed fully automatically using a trained convolutional neural network with or without human quality check (QC). The corresponding results were compared with those obtained by fully manual (FM) segmentation using the Dice similarity coefficient (DSC). FF progression and its standardized response mean (SRM) were also computed in individual muscles over the single central slice and a 3D volume to define the most sensitive region of interest. AI-based segmentation showed excellent DSC values (>0.90). Significant global FF progression was observed at thigh (+0.71% ± 1.28%; p = 0.016) and leg (+1.73% ± 2.88%, p = 0.007) levels, similarly to that calculated using the FM technique (p = 0.363 and p = 0.634). FF progression of each individual muscle was comparable when computed from either the central slice or the 3D volume. The best SRM value (0.70) was obtained for the FF progression computed using the AI-based technique with human QC in the 3D volume at the leg level. The time required for fully automatic segmentation using AI with a QC was 10 hours for the entire data set compared with 90 hours for the FM. qMRI combined with AI-based segmentation can be considered as a process ready for assessing longitudinal FF changes in CMT1A patients. Given the slow FF progression at a thigh level and the large heterogeneity between muscles and individuals, FF should be quantified from a 3D volume at the leg level for longitudinal analyses. A QC performed after the AI-based segmentation is still advised given the increased SRM value.

HIGH-ADDED VALUE PRODUCTS FROM DISCARDED COOKING OIL

Vegetable oils are widely used in human consumption as food, with increasing productivity. As they are sustainable raw materials, they are suitable substitutes for fossil-derived raw materials and have great potential for producing high-value bioproducts, contributing to sustainability, the economy, and environmental issues. This article explores multiple applications of vegetable oils, highlighting residual oil included in making soaps, biofuels, animal feed, green solvents, bioasphalt, and asphalt binders. It also addresses the treatment of these vegetable oils with enzymes and the methods for converting soybean oil into biofuels, highlighting their properties that favor efficiency and the reduction of pollutant gas emissions. In addition, the extraction and purification processes that make obtaining ingredients with more excellent market value possible are discussed.

Optimization of the Combined Use of Z-Sep Plus and EMR-Lipid in QuEChERS Procedure for the Analysis of Eight Pesticides in Real Milk Samples

AbstractOne of the most applied procedures for the determination of trace analytes in complex matrices is QuEChERS (an acronym for Quick, Easy, Cheap, Effective, Rugged, and Safe). QuEChERS procedures include an extraction step followed by a dispersive solid-phase extraction (dSPE) for analytes cleaning-up from the matrix components. A challenging task in QuEChERS procedures is extracting and determining pesticides from samples of high fat such as milk samples. This challenge induced the innovation of new adsorbents for the clean-up step such as Z-Sep Plus® and EMR-Lipid® to enable removal of fatty matrix components without affecting the recovery of hydrophobic analytes. This work aims to apply experimental design to optimize the combined application of both QuEChERS clean-up adsorbents; Z-Sep Plus® and EMR-Lipid® in addition to other QuEChERS parameters in the determination of eight pesticides: hexachlorocyclohexane, dichlorodiphenyldichloroethane, dichlorodiphenyltrichloroethane, primiphos ethyl, diazinon, malathion, endrin, and dimethoate in milk matrix. This was augmented by optimization of GC–MS/MS and UPLC-MS/MS to detect and determine analytes in extracts. The experimental design of QuEChERS procedure enabled the optimization of Z-Sep Plus®- and EMR-Lipid®-added adsorbent amounts with other method parameters to enable the maximum recovery of analytes. Furthermore, the optimized methods enabled low detection limits of the studied pesticides within a short analysis time (28 min for GC and 12 min for LC methods, respectively). The procedure was validated according to European SANTE/11312/2021 Guideline. Quantitation limit ranged from 1.7 to 3.2 ng/mL for GC–MS/MS method and from 1.7 to 3 ng/mL for UPLC-MS/MS method. Greenness assessment of the methods followed four approaches indicating an excellent value of greenness for the proposed methods. Furthermore, 45 real milk samples collected from the Egyptian market were tested with the developed procedure for the presence of pesticides.

Evaluation and synthesis of perovskite crystals as high-Z sensors for hybrid pixel detectors

High-energy photon imaging experiments are crucial techniques in synchrotron facilities, often employing hybrid pixel detectors for these operations. These detectors combine a photo-sensitive semiconductor component with a pixelated microelectronic Application Specific Integrated Circuit (ASIC) for signal processing and image formation. However, detecting photons above 90 keV poses significant challenges, even for heavy semiconductors, due to lower photoelectric absorption cross-section at this energy range. Nevertheless, lead-based perovskites, such as CsPbBr3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{CsPbBr}}_3$$\\end{document}, are remarkable alternatives as they present excellent cross-section values and noteworthy transport properties, contributing to increased high-energy detection efficiencies. Here, we employ a chemical synthesis route for CsPbBr3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{CsPbBr}}_3$$\\end{document} single-crystals, enabling experimental measurements of carrier mobility of 100.7 cm2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{cm}}^{2}$$\\end{document}/Vs. We also developed a simulation algorithm to calculate the current pulses generated on pixelated electrodes. Our simulations evaluate CsPbBr3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{CsPbBr}}_3$$\\end{document}’s performance coupled with the latest photon-counter ASIC developed by CERN, the Timepix4. Our findings indicate that CsPbBr3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{CsPbBr}}_3$$\\end{document} crystals require intense applied electric fields, around 1 kV/mm, for accurate signal integration. Furthermore, we observed no correlation between incident energy and induced pulse width. Through microelectronics simulations, we demonstrate that the signal formation behavior of CsPbBr3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{CsPbBr}}_3$$\\end{document} is compatible with Timepix4 ASICs, consequently establishing operational guidelines for employing this promising material as sensors in hybrid pixel detectors.

The Applicability and Reflection Characteristics of Coal Failure Events for External Monitoring-While-Drilling of Underground Pressure Relief Drilling

Previous research results preliminarily indicated that the Coal Failure Events (CFEs) that occurred during the process of Underground Pressure Relief Drilling (UPRD) represented the phenomenon of coal fracture and energy release. The research results had excellent value for the monitoring and response of pressure relief drilling while drilling, but there were still some special situations that needed to be analyzed and studied in actual on-site testing. So, through on-site testing and data statistical analysis, the study investigated the applicability of the innovative external Monitoring-While-Drilling (MWD) method for UPRD with more coal failure events and made a quantitative statistic of the CFEs and their relationship with abutment pressure to reveal the applicability of the external MWD method and characteristic of CFEs. The results showed that hundreds of CFEs were produced in the UPRD process, which must be removed to ensure the accuracy of the MWD method. Although CFEs bring recognition difficulties, they also provide conditions for studying their own distribution and characteristics. Results showed that more CFEs were produced in the depth of difficult drilling, which indicated that there was a positive correlation between the degree of difficulty in drilling and the number of CFEs. In addition, spectrum analysis showed that the depths with more CFE occurrence were more likely to produce high-frequency events. When the surrounding stress of drilling rocks is high, the occurrence of small fractures with a higher main frequency may become more frequent and consistent; more fractures with similar failure forms would occur, which may have a lower fractal dimension and promote the generation of more failure. The research results were of great significance for the MWD method for UPRD, a quantitative study of CFEs and their generation characteristics during UPRD construction.

Sustainable Synthesis of D‐Glucose Based IL: A Renewable Organo Catalyst for the Efficient Synthesis of Dihydropyrano Coumarins

AbstractA convenient, direct, one‐pot highly efficient microwave‐assisted synthesis of biomass‐derived D‐glucose‐based hydroxide ionic liquid via a simple three‐step approach has been described. The key features of the method include rapidness, eco‐friendliness, and excellent yields. To the best of our knowledge, this is the first methodology for synthesizing D‐Glucose‐based sugar ionic liquid (GSIL) under microwave irradiation. The developed catalyst allowed us to synthesize diverse dihydropyrano[3,2‐c]‐chromenes upto 95 % yield in 30‐90 min stirring at 80 °C under mild conditions. The scope of the study was investigated using 30 instances. Developed GSIL exhibited excellent catalytic activity as well as good recyclability. Overall, the catalyst showed excellent value in green chemistry parameters such as atom economy (95 %), E‐factor (0.05), carbon efficiency (100 %), process mass intensity (1.62), and reaction mass efficiency (0.860).

Effect of various culinary treatments on the glycoalkaloid content of potato peel

Potatoes are one of the most consumed foods worldwide. During germination, glycoalkaloids (GAs) with potential bioactive properties are produced, which, at high concentrations, may have adverse health effects. Potato peels, a byproduct generated in large quantities but increasingly used in contemporary cuisine, contain significant levels of these GAs. This paper examines GA levels in potato peels after various culinary treatments (boiling, steaming, baking, air frying, conventional deep frying, and double frying) to provide new data and ensure food safety. An optimized extraction method using ultrasound-assisted extraction (UAE) was employed, followed by purification with mesostructured SBA-15 silica functionalized with octadecylsilane (C18) chains as sorbent in solid-phase extraction, prior to HPLC-DAD determination of α-solanine and α-chaconine levels in the samples. The method was validated, obtaining excellent recovery values (88 – 96 %) and low detection and quantification limits (0.3 and 1 mg/L, respectively). Upon application of the validated analytical method to the samples culinarily treated using the most common cooking techniques (boiling, steaming, baking, air frying, conventional deep frying, and double frying) at various times and temperatures, the obtained results demonstrated significant reductions (between 52 % and 84 %) in GAs content in the treated potato peels, compared to fresh samples. Statically significant degradation of these compounds was observed through baking at elevated times and temperatures (74 – 84 %), as well as both conventional deep frying and double frying (76 – 83 %).

Microwave spectroscopy in a free-space arrangement for nondestructive quality assessment of chicken eggs: Comparing different measurement modes and feature selection approaches

A free-space dielectric arrangement with X-band coaxial-to-waveguide adapters was used to non-destructively assess shell egg quality. Scattering parameters in the microwave spectral range (8–12 GHz) were measured in reflectance and transmittance modes from eggs placed in three orientations. Partial least squares regression was applied to predict egg quality indices, including air cell height (ACH), yolk coefficient (YC), thick albumen height (TAH), Haugh unit (HU), and albumen pH. Prioritizing PR_S22 spectrum in horizontal 1 orientation, several feature selection methods were employed to identify the most effective frequencies. Artificial neural networks (ANNs) were then used to develop predictive models based on influential frequencies. The competitive adaptive reweighted sampling method consistently outperformed others, yielding robust ANN models with excellent residual predictive deviation values of 4.80, 4.00, 3.27, 3.03, and 3.72 for ACH, YC, TAH, HU, and albumen pH, respectively. This study demonstrates the effectiveness of free-space dielectric arrangements in predicting egg quality.

Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Subjects.

Biomarker analyses are an integral part of cancer research. Despite the intense efforts to identify and characterize biomarkers in cancer patients, little is known regarding the natural variation of biomarkers in healthy populations. Here we conducted a clinical study to evaluate the natural variability of biomarkers over time in healthy participants. The angiome multiplex array, a panel of 25 circulating protein biomarkers, was assessed in 28 healthy participants across 8 timepoints over the span of 60 days. We utilized the intraclass correlation coefficient (ICC) to quantify the reliability of the biomarkers. Adjusted ICC values were calculated under the framework of a linear mixed-effects model, taking into consideration age, sex, body mass index (BMI), fasting status, and sampling factors. ICC was calculated to determine the reliability of each biomarker. HGF was the most stable marker (ICC=0.973), while PDGF-BB was the most variable marker (ICC=0.167). In total, ICC analyses revealed that 22 out of 25 measured biomarkers display good (≥0.4) to excellent (>0.75) ICC values. Three markers (PDGF-BB, TGF-1, PDGF-AA) had ICC values <0.4. Greater age was associated with higher IL-6 (p=0.0114). Higher BMI was associated with higher levels of IL-6 (p=0.0003) and VEGF-R3 (p=0.0045). Of the 25 protein biomarkers measured over this short time period, 22 markers were found to have good or excellent ICC values, providing additional validation for this biomarker assay. This data further supports the validation of the angiome biomarker assay and its application as an integrated biomarker in clinical trial testing.

Hematologic cancers and infections: how to detect infections in advance and determine the type?

Infection is one of the leading causes of death in patients with hematologic cancers. Hematologic cancer patients with compromised immune systems are already susceptible to infections, which come on even more rapidly and are difficult to control after they develop neutrophil deficiencies from high-dose chemotherapy. After patients have developed an infection, the determination of the type of infection becomes a priority for clinicians. In this review, we summarize the biomarkers currently used for the prediction of infections in patients with hematologic cancers; procalcitonin, CD64, cytokines, and CD14 et al. can be used to determine bacterial infections, and (1-3)-β-D-glucan and galactomannan et al. can be used as a determination of fungal infections. We have also focused on the use of metagenomic next-generation sequencing in infections in patients with hematologic cancers, which has excellent clinical value in infection prediction and can detect microorganisms that cannot be detected by conventional testing methods such as blood cultures. Of course, we also focused on infection biomarkers that are not yet used in blood cancer patients but could be used as a future research direction, e.g., human neutrophil lipocalin, serum amyloid A, and heparin-binding protein et al. Finally, clinicians need to combine multiple infection biomarkers, the patient’s clinical condition, local susceptibility to the type of infection, and many other factors to make a determination of the type of infection.

Achieving the dendrite-free zinc anode by constructing a Sn-C interfacial layer with zincophilic and conductive network

Under the basic national policy of sustainable green development, high-performance and low-cost energy storage devices are urgently needed for intermittent generation of clean energy and storage of electrical energy. Zn metal with high capacity, abundant reserves and excellent plasticity, but the inevitable side reactions of the Zn metal anode itself have severely limited the development of aqueous Zn ion batteries (AZIBs) in the market. In this study, an artificial protective layer of polymer-derived carbon material combined with Sn is prepared to inhibit hydrogen precipitation and corrosion and prolong the lifetime of AZIBs. With these advantages, the Zn@Sn@N doped carbon (Zn@CNS) symmetric cell could achieve a stable cycle life of 1000 h at 2 mA cm−2 and low overpotential. The excellent stripping life of over 400 h is achieved in half-cells assembled with Cu foils. Furthermore, the α-MnO2//Zn@CNS full battery shows superior stability in rate capability and long-term capacity retention compared to the α-MnO2//Zn battery, indicating that the CNS coating provides excellent performance and practical value.

Perspectives on theological training in times of crisis

When crises arise, like in the case of the #FeesMustFall-movement (FMF) during 2015–2017, we often tend to be reactive in our actions and immediate plans are made to address the crisis. In this contribution, however, I want to look at a longer-term solution by making use of Stellenbosch University’s five core values. The values of excellence, respect, responsibility, equity, and compassion will be examined in this contribution to empower lecturers who prepare students for church ministry. The basic research question that will be investigated is: How can the five core values of Stellenbosch University help the lecturers with the preparation of students for ecclesiastical training in times of crisis? In response to this, each of the values will first be explained, after which their meaning and impact on theological training will be examined. Afterwards, some crises in the theological training will be investigated where some of the values conflict with each other. At the end, we will turn to the re-scripting of the narrative of higher education by looking at the extended curriculum program (ECP) at the Faculty of Theology at Stellenbosch University.

Research on the Efficiency of Major Airports in China’s Six Major Airport Cluster: Based on Common Frontier Super-Efficiency DEA and Malmquist Method

Airport clusters are of great significance to the sustainable development of the civil aviation transportation industry. The study utilises common frontier and super-efficiency DEA methods to assess the efficiency of China’s six major airport groups. It then employs the Malmquist index method to analyse changes in airport productivity. The results highlight regional disparities in airport efficiency. The East China Airport Group and the Southwest Airport Group consistently demonstrate excellent efficiency values, while the North China Airport Group and the Northeast Airport Group have significant room for improvement. Most airports within the groups operate at low and ineffective levels, with efficiency initially increasing and then decreasing. Moreover, the technology gap ratio (TGR) for each airport group somewhat shows a downward trend. The Malmquist index indicates that the overall factor productivity of each airport has generally remained stable, with efficiency growth primarily dependent on scale efficiency. On average, technical efficiency has increased by 1.5%. However, in terms of technological changes, most airports have experienced technological regression, indicating insufficient focus on technological improvement. Therefore, it is crucial to prioritise technological innovation and enhance management efficiency to achieve efficiency improvements in airport clusters. It is necessary to formulate strategies accurately based on the specific conditions of different regions, promote coordinated development, foster regional exchanges and cooperation, address regional disparities, ensure sustainable development of China’s airport clusters, and establish a world-class airport cluster.

Exploring common biomarkers of ischemic stroke and obstructive sleep apnea through bioinformatics analysis.

Clinical observations have shown that many patients with ischemic stroke (IS) have a history of obstructive sleep apnea (OSA) both before and after the stroke's onset, suggesting potential underlying connections and shared comorbid mechanisms between the two conditions. The aim of this study is to identify the genetic characteristics of OSA patients who develop IS and to establish a reliable disease diagnostic model to assess the risk of IS in OSA patients. We selected IS and OSA datasets from the Gene Expression Omnibus (GEO) database as training sets. Core genes were identified using the Limma package, Weighted Gene Co-expression Network Analysis (WGCNA), and machine learning algorithms. Gene Set Variation Analysis (GSVA) was conducted for pathway enrichment analysis, while single-sample gene set enrichment analysis (ssGSEA) was employed for immune infiltration analysis. Finally, a diagnostic model was developed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, with its diagnostic efficacy validated using receiver operating characteristic (ROC) curves across two independent validation sets. The results revealed that differential analysis and machine learning identified two common genes, TM9SF2 and CCL8, shared between IS and OSA. Additionally, seven signaling pathways were found to be commonly upregulated in both conditions. Immune infiltration analysis demonstrated a significant decrease in monocyte levels, with TM9SF2 showing a negative correlation and CCL8 showing a positive correlation with monocytes. The diagnostic model we developed exhibited excellent predictive value in the validation set. In summary, two immune-related core genes, TM9SF2 and CCL8, were identified as common to both IS and OSA. The diagnostic model developed based on these genes may be used to predict the risk of IS in OSA patients.

Equity and justice in medical education: mapping a longitudinal curriculum across 4 years

BackgroundIn 2024 in the United States there is an attack on diversity, equity, and inclusion initiatives within education. Politics notwithstanding, medical school curricula that are current and structured to train the next generation of physicians to adhere to our profession’s highest values of fairness, humanity, and scientific excellence are of utmost importance to health care quality and innovation worldwide. Whereas the number of anti-racism, diversity, equity, and inclusion (ARDEI) curricular innovations have increased, there is a dearth of published longitudinal health equity curriculum models. In this article, we describe our school’s curricular mapping process toward the longitudinal integration of ARDEI learning objectives across 4 years and ultimately creation of an ARDEI medical education program objective (MEPO) domain.MethodsMedical students and curricular faculty leaders developed 10 anti-racism learning objectives to create an ARDEI MEPO domain encompassing three ARDEI learning objectives.ResultsA pilot survey indicates that medical students who have experienced this curriculum are aware of the longitudinal nature of the ARDEI curriculum and endorse its effectiveness.ConclusionsA longitudinal health equity and justice curriculum with well-defined anti-racist objectives that is (a) based within a supportive learning environment, (b) bolstered by trusted, structured avenues for student feedback and (c) amended with iterative revisions is a promising model to ensure that medical students are equipped to effectively address health inequities and deliver the highest quality of care for all patients.

Reliability and validity of My Jump 2® app to measure the vertical jump in visually impaired five-a-side soccer athletes.

Although My Jump 2 ® consistently presented excellent values of reliability and validity when compared to force platforms (FPs) and contact mats, to date no scientific investigation assessed the validity and reliability of My Jump 2 ® to measure jump height in visually impaired five-a-side soccer athletes. Thus, the study aimed at analyzing the validity and reliability of the My Jump 2® to measure the vertical jump of five-a-side soccer athletes. Twelve visually impaired five-a-side soccer athletes, volunteered for this study. Each player performed five countermovement jumps (CMJs) and squat jumps (SJs) on a contact platform (CP) while they were simultaneously recorded using My Jump 2 ®. There was almost perfect agreement between the My Jump 2® and the contact platform measurements of CMJ (intraclass correlation coefficient = 0.99; p < 0.001) and SJ (intraclass correlation coefficient = 0.99; p < 0.001), heights for athletes during the first and second measurement days. Bland-Altman analysis showed a bias of 0.25 ± 0.5 cm; maximum SD = 1.3; minimum SD = -0.88 for CMJ, while that Bland-Altman analysis showed bias 0.18 ± 0.5 cm; maximum SD = 1.3; minimum SD = -0.96, for SJ. We can conclude that the My Jump 2® is a valid and reliable method to measure CMJ and SJ in visually impaired five-a-side soccer athletes.

Negative long-term prognostic value of stress echocardiography in patients with incomplete revascularization after successful primary PCI

Abstract Background The role of stress echocardiography (SECHO) in a risk stratification of patients with incomplete revascularization after primary percutaneous coronary intervention (pPCI) has not been extensively documented. The Aim The aim of our study was to assess the negative long-term prognostic value of SECHO after successful pPCI and incomplete revascularization of non-culprit lesions. Methods Our study consisted of 194 patients (mean age 59±10years, male 136; 70.1%) successfully treated with pPCI, who performed SECHO according to Bruce protocol in order to assess residual ischemia in coronary artery with non-culprit lesion other than treated vessel. Lesion severity of non-culprit coronary arteries was assessed by quantitative coronary angiography. Duke treadmill score, functional capacity (Metabolic Equivalents - METs), achieved target heart rate (THR), chronotropic incompetence, heart rate recovery (HRR), wall motion score index (WMSI) and ejection fraction were calculated in all patients. Slow HRR was defined as ≤18 beats/min. Median follow up of the patients was 96 ± 32.5 months for the occurrence of all-cause mortality and non-fatal myocardial infarction (MI). Results Out of 194 patients, 38 (19.6%) had positive SECHO test, and 7 patients (3.6%) were lost to follow up so they were excluded from further analysis. During the follow-up period 29 out of 149 patients (18.8%) had an adverse event (20 deaths and 9 non-fatal MI). Negative predictive value of SECHO test was 81.2%. Median time from MI to SECHO test was 8 months. Using the Cox regression analysis, univariate predictors of adverse events were slow HRR (HR 3.750 [95% CI 1.620-8.679], p=0.002), Duke score (HR 0.866 [95% CI 0.755-0.994], p=0.040) and chronotropic incompetence (HR 0.310 [95% CI 0.107-0.895], p=0.030). In the multivariate analysis only the slow HRR remained an independent predictor of adverse events (HR 3.329 [95% CI 1.417-7.825], p=0.006). Using the Kaplan-Meier survival curve we see that the patients with slow HRR had much shorter event-free time (slow HRR 117.2 ± 13.4 months vs normal HRR test 139.4 ± 4.2 months, Log Rank 4.988, p=0.026). (Figure 1.) Conclusion SECHO test has excellent negative long-term prognostic value in patients with incomplete revascularization of non-culprit lesions after successful pPCI while patients with slow HRR have more pronounced risk for the occurrence of adverse events.Figure 1.Kaplan-Meier survival curve

A Novel Carbon Dot-Bromothymol Blue System for Ratiometric Colorimetric-Fluorometric Sensing of Glutathione in Urine: A Smartphone-Compatible Approach.

This study presents a novel dual-modal approach for glutathione (GSH) detection using blue and yellow dual-emission carbon dots (BY-CDs) and bromothymol blue (BTB) at pH 8.0. The method employs both colorimetric and fluorometric detection modes, offering a new perspective on GSH quantification. BTB's blue coloration induces selective fluorescence quenching of the CDs' 610nm emission peak, with minimal effect on the 445nm peak. Upon GSH addition, the quinonoid structure (blue color) of BTB transforms to its benzenoid form (yellow color). This transformation triggers fluorescence restoration at 610nm and significant quenching at 445nm, enabling ratiometric fluorescence analysis (F610/F445). Concurrently, colorimetric detection is also ratiometric, based on measuring the ratio between the emerging yellow color peak (435nm) and the decreasing blue color peak (618nm) (A435/A618). The state-of-the-art aspect of this detection method lies in the strategic choice of dual-emission CDs and a dye with distinct absorption spectra that closely match the emission spectra of the CDs. This unique combination allows for dual detection with opposite responses in the two detection modes, enhancing selectivity and reliability. The probe was thoroughly characterized, and its detection mechanism was elucidated using various spectroscopic techniques. The method shows excellent linearity, a broad detection range, and low detection limits for both fluorometry (0.02 - 10.0μM, 5.88nM) and colorimetry (1.0 - 35.0μM, 301.25nM). Additionally, a smartphone-based platform was developed for colorimetric GSH determination, enhancing the method's potential for on-site analysis. The assay's practicality was validated through successful application to human urine samples, yielding excellent recovery values (97.33% to 99.13%).

The prognostic value of contrast stress echocardiography in a real-world population of symptomatic patients without known coronary artery disease

Abstract Background Coronary artery disease (CAD) is the leading cause of mortality and morbidity worldwide. In addition to diagnosis, non-invasive tests may also provide prognostic information useful in the risk stratification and management of CAD patients. Stress echocardiography (SE) is an accurate, non-invasive method for the detection of obstructive CAD. However, in real-world clinical practice the test performance may vary among different centres, depending on availability, local protocols, and operator expertise. Purpose To evaluate the prognostic value of contrast SE in a real-world population of symptomatic patients without known CAD. Methods This was a cohort follow-up study of patients without known CAD and symptoms of atypical chest pain, unexplained dyspnoea or palpitations who were referred to the echocardiography lab of a tertiary hospital for SE between January 2020 and December 2021. Patients with resting regional wall motion abnormalities were excluded. All patients underwent treadmill exercise stress echocardiography (ESE) or dobutamine stress echocardiography (DSE) if unable to exercise. Contrast agents were used in almost all patients (99%). The study population was followed-up for at least 2 years after SE by phone and/or electronic hospital records. Cardiac outcome was defined as anatomically or functionally significant stenosis on angiography, revascularization, acute coronary syndrome (ACS), or cardiac-related death. Results The study comprised 266 patients (mean age 58±12 years, 63% male) who underwent either ESE (58%) or DSE (42%). The patients' details are reported in Table 1. The most common indication for the exam was atypical chest pain, with a prevalence of 73%. SE exams were positive for inducible ischaemia in 14 (5%) patients. Symptoms during the exam were present in 3 (21%) patients with positive SE and 4 patients (2%) with negative SE (p=0.004). No serious complications (sustained ventricular tachycardia, myocardial infarction, or death) were recorded. During the follow-up (median 30, IQR 23–38 months), 264 patients (99%) were successfully contacted. Cardiac outcome occurred in 10 patients. Among 14 patients with positive SE, 8 underwent revascularization due to significant coronary artery stenosis. Among 250 patients with negative SE, 1 underwent revascularization due to significant coronary artery stenosis and 1 presented with ACS 13 months after the test (both patients underwent DSE). Negative predictive value was 99% over a median follow-up of 30 months, corresponding to an annualized event rate of 0.32% per year. A positive SE was significantly associated with cardiac outcome (log-rank test p&amp;lt;0.0001, Figure 1). Conclusion Contrast SE carries significant prognostic implications in symptomatic patients without known CAD. A positive test is strongly associated with the need for revascularization, while a normal test result has an excellent negative predictive value regarding cardiovascular morbidity and mortality.Figure 1