Real-time Testing Research Articles

Deep neural network-based robotic visual servoing for satellite target tracking.

In response to the costly and error-prone manual satellite tracking on the International Space Station (ISS), this paper presents a deep neural network (DNN)-based robotic visual servoing solution to the automated tracking operation. This innovative approach directly addresses the critical issue of motion decoupling, which poses a significant challenge in current image moment-based visual servoing. The proposed method uses DNNs to estimate the manipulator's pose, resulting in a significant reduction of coupling effects, which enhances control performance and increases tracking precision. Real-time experimental tests are carried out using a 6-DOF Denso manipulator equipped with an RGB camera and an object, mimicking the targeting pin. The test results demonstrate a 32.04% reduction in pose error and a 21.67% improvement in velocity precision compared to conventional methods. These findings demonstrate that the method has the potential to improve efficiency and accuracy significantly in satellite target tracking and capturing.

Diagnostic accuracy of rapid antigen tests for detection of Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2: Direct evidence from prospective clinical settings.

Despite widespread application during the coronavirus disease-19 pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection using patient-performed rapid antigen tests (RATs) is limited, especially regarding the Delta and Omicron variants. Therefore, in this study, we evaluated the performance of RATs in identifying Delta and Omicron infections in self-test settings. In this multicenter clinical performance study conducted in Korea between November 2021 and February 2022, we included participants without prior diagnostic device experience. Using 2 RAT types, we compared the results with real-time reverse transcriptase-polymerase chain reaction testing, focusing on clinical sensitivity and specificity. Reverse transcriptase-polymerase chain reaction helped confirm 77 SARS-CoV-2 infections among 280 participants. RATs exhibited high positive agreement for Omicron detection but lower rates for Delta, especially among partially vaccinated individuals. This study provides direct evidence that RATs, originally developed for ancestral strains of SARS-CoV-2, effectively detect major variants such as Delta and Omicron in real patient/clinical settings. By confirming variant presence through sequencing, our research offers significant and novel insights into the performance of RATs, particularly in the context of breakthrough infections postvaccination, with precise data on vaccination status and timing obtained from government records.

Analisis Implementasi Continuous Auditing pada Inspektorat Kabupaten Gorontalo

This digitalization progress affects the accounting process which also has an impact on the audit process. New technologies that help lighten the audit work are starting to emerge, one of which is continuous auditing which has the concept of real-time audit testing without disrupting the company's operational processes and reducing the time lag between the initial report and the audit result report. The achievement of the APIP capability of the Gorontalo Regency area has reached level 3, meaning that it is able to manage risks and is able to provide early warnings. However, in reality there is a phenomenon of corruption cases in Gorontalo Regency with a not insignificant number. Therefore, this study aims to determine how Continuous Auditing is implemented at the Gorontalo Regency Inspectorate. This research method uses a qualitative method with a descriptive approach. There are 2 informants in this study. In this study, data was collected using observation, interview, and documentation techniques. The results of this study indicate that the Gorontalo Regency Inspectorate has implemented Continuous Auditing in village financial management, namely in the form of Siswaskeudes (Village Financial Supervision System).

B-236 New real-time PCR test for APOE genotyping in patients with Alzheimer’s disease before anti-amyloid therapy

Abstract Background In 2023, the US Food and Drug Administration approved LEQEMBI, a monoclonal antibody therapy targeting beta-amyloid plaques, for patients with early-stage Alzheimer’s disease (AD). However, anti-amyloid drug trials demonstrated an elevated risk for amyloid-related imaging abnormalities with cerebral edema (ARIA-E) in carriers of the AD risk allele apolipoprotein E epsilon 4 (APOE-ɛ4), especially in ɛ4/ɛ4 homozygous individuals [1-3]. Here, we report on the evaluation of a new real-time polymerase chain reaction (PCR) test for APOE genotyping. Methods The EURORealTime APOE (EUROIMMUN), which enables simultaneous testing for all six APOE genotypes (ɛ2/ɛ2, ɛ2/ɛ3, ɛ2/ɛ4, ɛ3/ɛ3, ɛ3/ɛ4, and ɛ4/ɛ4) by real-time PCR, was performed using genomic DNA (gDNA) isolated from EDTA blood samples. The PCR amplification results were evaluated using the EURORealTime Analysis Software (EUROIMMUN). Samples from healthy blood donors (HBD) were used to assess intra-assay, inter-assay and between-lot precision (n=6) as well as analytical sensitivity (n=21), with each APOE genotype represented by at least one sample. Assay accuracy was analyzed by comparing genotype assignments to the results of the CE-IVD-marked EUROArray APOE (EUROIMMUN) and bidirectional Sanger sequencing using 110 samples (100 AD, 10 HBD). APOE genotype frequencies were compared between patients (100 AD) and controls (250 HBD). Results Precision testing of the EURORealTime APOE resulted in 100% correct genotype calls. Assessment of the analytical sensitivity revealed valid and correct genotype assignment in all 21 samples, confirming 1 ng/µl as the recommended minimum gDNA concentration. The analytical accuracy amounted to 100% based on agreement with the two reference methods in 110/110 cases. Comparison of the APOE genotype distribution showed a higher proportion of ɛ4 allele carriers (i.e., ɛ2/ɛ4, ɛ3/ɛ4, and ɛ4/ɛ4) in AD patients than in HBD (50.0% vs. 25.2%). The prevalence of the ɛ4/ɛ4 genotype in these cohorts was 25.0% for AD patients compared with 2.8% for HBD. Conclusions The well-established high prevalence of the APOE-ɛ4/ɛ4 genotype in AD patients, together with the increased risk of ARIA-E in these homozygous carriers, substantiates the relevance of APOE genotyping prior to anti-amyloid treatment. The EURORealTime APOE test provides sensitive and reliable determination of APOE alleles, thus presenting a suitable tool to improve risk stratification for potential LEQEMBI recipients.

A-359 Clinical Performance Evaluation of the Polymerase Chain Reaction (PCR)-Based cobas CT/NG/MG Test for Use on the cobas liat System in a Clinical Laboratory Setting and Point-of-Care (POC) Location

Abstract Background Screening for Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and Mycoplasma genitalium (MG) can be achieved rapidly (in approximately 20 minutes) with the cobas® CT/NG/MG test (assay not cleared by US FDA. Submission currently under review and subject to change per health authority feedback). This automated, qualitative, real-time PCR-based nucleic acid amplification test (NAAT) is for use on the cobas® liat® system. This study evaluated the test’s clinical performance using urogenital samples from symptomatic and asymptomatic patients. Methods This non-interventional, non-observational study used prospective clinician-collected and self-collected specimens (urine, and vaginal swabs, all in cobas® PCR Media) from symptomatic/asymptomatic patients ≥14 years old from 13 POC sites across the US. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of cobas liat CT/NG/MG were calculated with respect to patient infected status (PIS), as determined using results from three FDA-approved NAATs and one laboratory-developed test. Due to insufficient positive NG samples during the trial period, further testing used archived samples. Results The median (range) age of the study population (N=4,800) was 35.0 (15.0-81.0) years; 40.4% (n=1,941) were symptomatic and 51.9% (n=2,489) were assigned female at birth. The cobas CT/NG/MG nucleic acid test demonstrated good clinical performance (Table 1). Across all specimen types, specificity was >97% for each analyte. Sensitivity was ≥95%, except in female urine (CT 87.0%, NG 93.1%, MG 78.9%). Regardless of specimen type, PPV and NPV were ≥95% for CT and NG; PPV for MG was highest in male urine (92.7%) and NPV was >97.5% across analytes. Conclusions In a clinical setting, the cobas CT/NG/MG nucleic acid test showed good clinical performance for the detection of CT, NG, and MG in urogenital samples, in addition to providing a short turn-around time and centralized testing lab quality at the POC for both self- and clinician-collected samples.

A-264 Validation of a Novel Real-Time PCR Assay for Identification of Mycobacterium species Isolates Recovered from Clinical Culture

Abstract Background Historically, clinical mycobacteriology laboratories used the nucleic acid hybridization-based AccuProbe assay manufactured by Hologic, Inc., to rapidly rule in or rule out Mycobacterium tuberculosis (MTB) and members of the M. avium-intracellulare complex (MAC). The clinical value of this test was in its ability to rapidly rule in/out MTB from positive broth cultures and allow the initiation of appropriate antimicrobial therapy and infection prevention practices. Recent discontinuation of this commercial assay left a gap in testing available for the rapid identification of these organisms, which allowed us to develop an in-house real-time PCR test. Methods A replacement assay was developed by Labcorp R & D based on real-time PCR amplification of extracted nucleic acids from positive culture growth. Aliquots from positive AFB VersaTREK broth cultures were heat inactivated, and nucleic acids were extracted using the MagNA Pure 24 (MP24) instrument (Roche). Real-time PCR using published primer probe sets (Rocchetti, et al 2016) was performed on the QuantStudio™ 7 (QS7) instrument (Applied Biosystems®). The assay was designed with three independent primer/probe sequence targets: one for MTB Complex (IS6110), one for MAC (ITS), and one pan-target for the Mycobacterium genus (16s rRNA). Results Procedural verification was performed using 100 residual clinical specimens previously identified using the Hologic AccuProbe® assay. Categorical concordance was 97% (97/100). The three discrepant results were identified as MAC positive by PCR; however, these were not identified as MAC on the predicate assay. Analytical sensitivity for the PCR assay was established to be 1,000 CFU/mL for each target. Analytical specificity was assessed in vitro for nine Mycobacterium species, with no cross-reactivity observed. In vitro analysis of target detection in the presence of yeast (Candida glabrata) was also performed, and we saw no inhibition. Analysis of the primer/probe sets for all targets was performed in silico using XploreDB database of microbial genomes, with confirmed 100% matches for both MAC and MTB genomes compared to hundreds of species. By comparison, the PAN-Myco primer set showed decreased performance, having three mismatches (two on forward primer and one on the probe). As this target sequence is used as an Internal Control (IC) this was not problematic for overall assay performance. The assay demonstrated excellent precision (%CV) for each target: MTB = 0.74%, MAC = 1.10%, PAN-Myco = 3.19%. Conclusions Utilizing the depth of molecular methodologies available in our laboratories, we developed a rapid method for identification of MAC and MTB from positive broth cultures, which had excellent performance compared to the predicate assay. The PCR ID LDT test is now available and allows testing to continue with no interruption in patient care.

A-236 Rapid multiplexed PCR (polymerase chain reaction) tests for respiratory disease improve process and time to diagnosis versus laboratory-based molecular testing

Abstract Background The Infectious Disease Society of America recommends molecular testing for symptomatic patients suspected of having COVID-19. Molecular tests can be performed at the point of care or in a centralized laboratory, using different methodologies, and can be singleplex or multiplex. Limited data are available examining the use of these tests in clinical practice and impact of different test types on patient outcomes; however, common antiviral treatments for both COVID-19 and influenza are more effective when taken earlier and are not indicated for use more than 5 and 2 days after symptom onset, respectively. The aim of this study was to describe the diagnostic journey for non-inpatients who received molecular testing for respiratory pathogens in the laboratory versus those who received testing using a rapid, multiplexed real-time RT-PCR test that can be performed at the point of care. Methods De-identified administrative claims were analyzed from July 1, 2020 through September 30, 2022 for commercially insured and Medicare Advantage enrollees in the Optum Labs Data Warehouse. Patients with ≥1 medical claim for a non-inpatient visit with a procedure code for testing for SARS-CoV-2 were identified; patients who received antigen testing at index were excluded. Patients were followed for up to 90 days. Two patient groups were selected for the final study sample: 1) Patients with ≥1 claim with CPT code 0240U or 0241U with a point-of-care or laboratory place of service on the index date (proprietary laboratory analyses codes for Xpert® Xpress CoV-2/Flu/RSV, or “Xpert Xpress”); and 2) Patients with other laboratory-based molecular testing on the index date. Standardized difference of >0.10 or <-0.10 was considered a significant imbalance in proportions or means. Results In total, 51,602 patients received testing with Xpert Xpress while 317,192 received laboratory testing. Patients who were tested with Xpert Xpress were significantly older (mean 49.82 vs 42.19, SD 0.3), had a higher Charlson Comorbidity Index (mean 0.7 vs 0.35, SD 0.29), and were more likely to have a respiratory risk factor (6.09% vs 2.38%, SD 0.19). On average, patients who were tested with Xpert Xpress had significantly fewer tests for SARS-CoV-2 on the index date (mean 1.2 vs 1.58, SD -0.55), and fewer tests for SARS-CoV-2, influenza, or RSV on the index date and through the end of the 90-day fixed follow-up period (mean 1.64 vs 2.57, SD -0.45). They were also significantly more likely to be diagnosed with COVID-19 on the index date (23.31% vs 16.53%, SD 0.17). Among patients with a diagnosis for COVID-19, mean time to diagnosis was significantly shorter among patients tested with Xpert Xpress (4.85 vs 8.86 days, SD -0.27; median 0 vs 4 days). This finding was also consistent for influenza (4.05 vs 20.28 days, SD -0.74; median 0 vs 5 days). Conclusions Testing with Xpert Xpress at index resulted in fewer total tests and faster diagnosis compared to testing in the laboratory. Rapid, multiplex PCR testing provides a faster time to diagnosis and may support more appropriate and effective treatment.

B-305 High-risk HPV Scenario Among Young People: Data From a Clinical Laboratory (2019-2023)

Abstract Background Human papillomavirus (HPV) infection is the most common sexually transmitted infections and occurs early after the start of sexual life. There are more than 150 types of HPV, classified considering the affected area, symptoms, and oncogenic potential. The types of HPV that cause cancerous lesions are classified as high-risk HPV types. HPV is the main cause of cervical cancer in women and is strongly associated with penile cancer in men. Despite the existence of vaccination, it is still not easily accessible to the entire population of Brazil. In this context, the authors are periodically analyzing the positivity of high-risk HPV infection in secretion and cell scraping samples. Methods 14,806 results were analyzed from a laboratory in São Paulo/Brazil. 4,935 real-time PCR tests were carried out from January/2019 to December/2023 for the detection of HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 and 68 high risk types. In this study, there was a special focus on HPV types 16 and 18, as they are the main high-risk types for cervical cancer. The other high-risk genotypes were detected, but not differentiated. Results The most ages affected by the infection in both sexes were 25 to 40 years old. Infections with other high-risk types HPV were more frequent in relation to types 16 and 18, Table 1. Conclusions Although the male population represented only 1.19% of processes tests, a higher frequency of HPV positive results was detected (9.04%) compared to female patients (7.55%).

Real-time prediction of dissolution profiles of coated oral dosage forms

Optical coherence tomography (OCT) has emerged as an in-line monitoring technique for pharmaceutical coating processes based on a representative number of samples. In this study, an approach was developed to correlate the coating thickness measured in-line via OCT with the resultant tablet dissolution profile. This strategy enables prediction of the dissolution profile of coated oral dosage forms for each individual state of the coating process in real-time. Correlation models were developed for a tablet pan coating process and for a pellet fluid-bed coating process. The feasibility of the correlation models was tested using different process parameters and types of coating formulations. This work demonstrated that using the OCT data to predict dissolution could possibly form a unique way of assuring drug product quality and establishing a control strategy within the real-time release testing (RTRT) concept.

Real-time hybrid testing using iterative control for periodic oscillations

Real-time hybrid testing is a method in which a substructure of the system is realized experimentally and the rest numerically. The two parts interact in real time to emulate the dynamics of the full system. Such experiments, however, are often difficult to realize as the actuators and sensors, needed to ensure compatibility and force–equilibrium conditions at the interface, can seriously affect the predicted dynamics of the system and result in stability and fidelity issues. The traditional approach of using feedback control to overcome the additional unwanted dynamics is challenging due to the presence of an outer feedback loop, passing interface displacements or forces to the numerical substructure. We, therefore, advocate for an alternative approach, removing the problematic interface dynamics with an iterative scheme to minimize interface errors, thus, capturing the response of the true assembly. The technique is examined by hybrid testing of a bench-top four-storey building with different interface configurations, where using conventional hybrid measurement techniques is very challenging. A case where the physical part exhibits nonlinear restoring force characteristics is also considered. These tests show that the iterative approach is capable of handling even scenarios which are theoretically infeasible with feedback control.

Evaluation of Antioxidant Effects of Coenzyme Q10 against Hyperglycemia-Mediated Oxidative Stress by Focusing on Nrf2/Keap1/HO-1 Signaling Pathway in the Liver of Diabetic Rats.

Hyperglycemia-induced oxidative stress can damage the liver and lead to diabetes complications. Coenzyme Q10 (CoQ-10) reduces diabetes-related oxidative stress. However, its molecular mechanisms are still unclear. This study aimed to examine CoQ-10's antioxidant capabilities against hyperglycemia-induced oxidative stress in the livers of diabetic rats, specifically targeting the Nrf2/Keap1/ARE signaling pathway. This study was conducted between 2020-2021 at Arak University of Medical Sciences. A total of 30 male adult Wistar rats (8 weeks old) weighing 220-250 g were randomly assigned to five groups (n=6 in each group): control healthy, sesame oil (CoQ-10 solvent), CoQ-10 (10 mg/Kg), diabetic, and diabetic+CoQ-10. Liver oxidative stress indicators, including malondialdehyde, catalase, glutathione peroxidase, and glutathione, were estimated using the spectrophotometry method. Nrf2, Keap1, HO-1, and NQO1 gene expressions were measured using real-time PCR tests in the liver tissue. All treatments were conducted for 6 weeks. Statistical analysis was performed using SPSS software. One-way ANOVA followed by LSD's or Tukey's post hoc tests were used to compare the results of different groups. P<0.05 was considered statistically significant. The findings showed that induction of diabetes significantly increased Keap1 expression (2.1±0.9 folds, P=0.01), and significantly inhibited the mRNA expression of Nrf2 (0.38±0.2 folds, P=0.009), HO-1 (0.27±0.1 folds, P=0.02), and NQO1 (0.26±0.1 folds P=0.01), compared with the healthy group. In the diabetic group, the activity of glutathione peroxidase, catalase enzymes, and glutathione levels was decreased with an increase in malondialdehyde level. CoQ-10 supplementation significantly up-regulated the expressions of Nrf2 (0.85±0.3, P=0.04), HO-1 (0.94±0.2, P=0.04), NQO1 (0.88±0.5, P=0.03) genes, and inhibited Keap1 expression (1.1±0.6, P=0.02). Furthermore, as compared to control diabetic rats, CoQ-10 ameliorated oxidative stress by decreasing malondialdehyde levels and increasing catalase, glutathione peroxidase activities, and glutathione levels in the liver tissues of the treated rats in the treatment group. The findings of this study revealed that CoQ-10 could increase the antioxidant capacity of the liver tissue in diabetic rats by modulating the Nrf2/Keap1/HO-1/NQO1 signaling pathway.

Object Detection and Classification Framework for Analysis of Video Data Acquired from Indian Roads

Object detection and classification in autonomous vehicles are crucial for ensuring safe and efficient navigation through complex environments. This paper addresses the need for robust detection and classification algorithms tailored specifically for Indian roads, which present unique challenges such as diverse traffic patterns, erratic driving behaviors, and varied weather conditions. Despite significant progress in object detection and classification for autonomous vehicles, existing methods often struggle to generalize effectively to the conditions encountered on Indian roads. This paper proposes a novel approach utilizing the YOLOv8 deep learning model, designed to be lightweight, scalable, and efficient for real-time implementation using onboard cameras. Experimental evaluations were conducted using real-life scenarios encompassing diverse weather and traffic conditions. Videos captured in various environments were utilized to assess the model’s performance, with particular emphasis on its accuracy and precision across 35 distinct object classes. The experiments demonstrate a precision of 0.65 for the detection of multiple classes, indicating the model’s efficacy in handling a wide range of objects. Moreover, real-time testing revealed an average accuracy exceeding 70% across all scenarios, with a peak accuracy of 95% achieved in optimal conditions. The parameters considered in the evaluation process encompassed not only traditional metrics but also factors pertinent to Indian road conditions, such as low lighting, occlusions, and unpredictable traffic patterns. The proposed method exhibits superiority over existing approaches by offering a balanced trade-off between model complexity and performance. By leveraging the YOLOv8 architecture, this solution achieved high accuracy while minimizing computational resources, making it well suited for deployment in autonomous vehicles operating on Indian roads.

Assessment of real-time PCR test in oral fluid samples for screening the serotypes of Actinobacillus pleuropneumoniae circulating in swine herds

Actinobacillus pleuropneumoniae is the etiological agent of porcine pleuropneumonia, causing remarkable economic losses in the global swine industry. The diversity of A. pleuropneumoniae is generally determined through serotype identification, which is commonly employed for control strategies and surveillance. However, serological methods currently in use still have significant limitations. This study explores the use of real-time polymerase chain reaction (qPCR) to detect circulating serotypes of A. pleuropneumoniae in non-diseased swine herds through testing of oral fluids.The study included three A. pleuropneumoniae-positive and three A. pleuropneumoniae-negative farms located in Quebec, Canada. Tonsil brushings, microbiological growths, and oral fluids were analyzed using qPCR to detect A. pleuropneumoniae and its distinct serotypes. Serological tests were performed using the LPS ELISA available at that time. In negative farms the absence of A. pleuropneumoniae and any serotype confirmed the specificity of the method. Positive farms, on the other hand, confirmed also the sensitivity of the analysis, with oral fluid samples consistently yielding positive results for the serotypes identified by ELISA.The qPCR test conducted on oral fluids offers a noninvasive and cost-effective method for monitoring, complementing traditional serological techniques. It provides qualitative information about serotype distribution, facilitating proactive surveillance and control strategies.

Experimental Study of Long Short-Term Memory and Transformer Models for Fall Detection on Smartwatches.

Falls are the second leading cause of unintentional injury deaths worldwide. While numerous wearable fall detection devices incorporating AI models have been developed, none of them are used successfully in a fall detection application running on commodity-based smartwatches in real time. The system misses some falls, and generates an annoying amount of False Positives for practical use. We have investigated and experimented with an LSTM model for fall detection on a smartwatch. Even though the LSTM model has high accuracy during offline testing, the good performance of offline LSTM models cannot be translated to the equivalence of real-time performance. Transformers, on the other hand, can learn long-sequence data and patterns intrinsic to the data due to their self-attention mechanism. This paper compares three variants of LSTM and two variants of Transformer models for learning fall patterns. We trained all models using fall and activity data from three datasets, and the real-time testing of the model was performed using the SmartFall App. Our findings showed that in the offline training, the CNN-LSTM model was better than the Transformer model for all the datasets. However, the Transformer is a preferable choice for deployment in real-time fall detection applications.

Shilajit (Mumio) Elicits Apoptosis and Suppresses Cell Migration in Oral Cancer Cells Through Targeting Urokinase-type Plasminogen Activator and Its Receptor and Chemokine Signaling Pathways

Background Shilajit a natural phytomineral has a proven record of treating many human body ailments. Purpose This study aimed to explore the influence of Shilajit on cell proliferation and apoptosis induction in oral cancer cells (OCC) and to comprehend the molecular mechanism associated with OCC migration. Materials and Methods Human gingival fibroblast (hGF) and OCC (KB-1 (KERATIN-forming tumor cell line HeLa)) were exposed to Shilajit solution dilutions. Cell growth and apoptosis were measured by MTT and Annexin-V tests (control/test group). Cellular morphology using an inverted microscope, cellular apoptosis using acridine orange/ethidium bromide dual staining, reactive oxygen species production analysis using 2′,7′-dichlorodihydrofluorescein diacetate (DCFH-DA) staining, and gene protein expression using real-time polymerase chain reaction test were used to measure study outcomes. The data enumerated were the average of three trial experiments. Categorical and numerical data were expressed as frequency distribution and means, respectively. Differences in groups (control/test; zero/24 h/48 h) were determined using Student’s t-test and one way analysis of variance, with probability ‘ p’ value considered significant at ≤0.05. Results The viability of OCC exhibited a concentration and time-dependent response to Shilajit. Notably, Shilajit demonstrated selectivity against cancer cells. Through an examination of the Annexin-V apoptosis assay, it was observed that Shilajit induces apoptosis by upregulating the proapoptotic gene expression ( p ≤ 0.05) and downregulating antiapoptotic proteins ( p ≤ 0.05). Furthermore, the impact of Shilajit on cell migration decreased significantly when compared to control cells through modulating the urokinase-type plasminogen activator (uPA) and its receptor (uPAR) and chemokines gene expression. Conclusion Shilajit exhibited greater cytotoxicity, decreased OCC proliferation and migration, and initiated OCC apoptosis as equivalent to normal cells. These promising outcomes indicate that Shilajit holds potential as a robust, promising option for oral cancer treatment, underscoring the need for further research in this domain.

1-Tetradecanol phase change material microcapsules coating on cotton fabric for enhanced thermoregulation

Rising climate change and extreme weather conditions underpin thermoregulation limitations of conventional textiles. This study investigates enhancing the thermal properties of cotton fabric by incorporating synthesized 1-tetradecanol (TD) phase change material (PCM) microcapsules. Characterization of the TD microcapsules was performed using dynamic light scattering (DLS), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), Fourier transform infrared (FTIR) spectroscopy, thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC). The microcapsules (average size of 0.49 μm) displayed a melting enthalpy (∆Hm) of 105 J·g−1 and a crystallization enthalpy (∆Hc) of 51 J·g−1. The microcapsules were mixed with the acrylic binder in three different ratios (75:25, 50:50, and 25:75). Hydrothermal, knife-over-roll, and pad-dry-cure methods were employed for coating microcapsules to cotton fabric. Microcapsule coating on cotton fabric using hydrothermal coating with a 75:25 microcapsule binder ratio achieved the highest add-on (55 %) and good durability after 25 home washes. The thermal insulation R-value of the coated fabric was enhanced (0.0029 m2 K·W−1) at 40 °C. The real-time test showed a temperature difference of 2.8 °C and thermal imaging displayed lower emissivity for TD-coated fabric. The TD microcapsule coating offers a promising method for developing climate-responsive textiles, enhancing thermal comfort, and reducing energy consumption in heating and cooling systems.

The Impact of Wharton's Jelly-derived Exosomes on the Production of Inflammatory Mediators from HIG-82 Synoviocytes.

Osteoarthritis (OA) is the most common joint disease worldwide. Routine treatment options are limited, and total knee replacement surgeries often come with complications. In recent years, the use of biologics, such as Wharton's jelly (Wj) derived from the umbilical cord (UC), has gained popularity. While mesenchymal stem cells (MSCs) derived from Wj show promise in restoring articular cartilage, they also have some limitations. Recent studies have indicated that exosomes isolated from acellular Wj may offer advantages under certain conditions. To investigate the anti-inflammatory properties of exosomes isolated from Wj in synoviocytes. Decellularization of Wj was performed using sterile umbilical cords obtained from patients. Next, the exosomes were isolated from Wj using ultracentrifugation. After characterizing the exosomes, they were co-cultured with inflammatory synovial fibroblast cells (HIG-82) for 24 hours. Then, the gene expression levels and protein contents of some important inflammatory mediators including metalloproteinase-13 (MMP-13), cyclooxygenase-2 (COX2) and inducible nitric oxide synthase (iNOS) were measured in the cells using real-time PCR and ELISA tests, respectively. The expression levels of MMP-13, COX-2, and iNOS genes were significantly reduced in the cultured cells treated with exosomes compared to untreated cells. Moreover, the content of MMP-13, COX-2, and iNOS proteins were significantly lower in the supernatant of the cultured cells compared to the control. Wj-derived exosomes exhibit notable anti-inflammatory properties, which can help mitigate inflammation in the synovial environment of joints. However, further research is required to fully understand their benefits and potential applications in treating osteoarthritis.

Nanomolar Hg2+ detection via phenothiazine fluorogenic chemosensor: Applications in water analysis and intracellular imaging

A Knoevenagel condensation reaction paved the way for the development of the PTZ-BCN probe namely (z)-2-(1H-benzo[d]imidazole-2-yl)-3-(10-ethyl-10H-phenothiazin-3-yl) acrylonitrile. PTZ-BCN’s spectral characteristics were verified through the application of IR, 1H NMR, 13C NMR, and HRMS techniques. The PTZ-BCN probe showed a high selectivity and sensitivity toward Hg2+ ions over other interfering competing metal ions in CH3CN: HEPES buffer (9:1, v/v) system. The addition of Hg2+ results in a notable redshift and fluorescence quenching of the PTZ-BCN probe. An examination of the interaction between the PTZ-BCN probe and Hg2+ involved recoding 1H NMR titration spectra, HRMS, DFT analysis, and Job’s plot respectively. Quantification of the lowest detectable Hg2+ concentration at 2.3 nM, exhibiting a correlation coefficient of R2 = 0.9985. PTZ-BCN probe has proven effective in quantitatively determining the existence of Hg2+ in real-time water samples, test strips, solid state, and Hela living cells.

Analiza różnic w stężeniu przeciwciał przeciw SARS-CoV-2 w przebiegu COVID-19 w zależności od ciężkości choroby, płci, wieku i statusu szczepienia

Introduction and objectiveThe role of immunoglobulin G antibodies in combating SARS-CoV-2 infection, modulation of COVID-19 disease severity, and persistence of humoral response after primary infection and vaccination is unclear. This study aimed to evaluate the role of antibodies in limiting the infection, modulating disease severity, and determining the durability of the immune response depending on the clinical status of patients, their age, sex, and vaccination status.Material and methodsThe study involved 156 patients, 99 men and 57 women, aged 58.3 ± 12.5 years old, hospitalised for pneumonia in the course of COVID-19, with infection confirmed by real-time polymerase chain reaction test. The concentration of anti-SARS-CoV-2 IgG antibodies was tested at 3, 6, and 9 months from the day of hospitalisation.ResultsThe concentration of anti-SARS-CoV-2 IgG antibodies in patients with severe COVID-19 was higher compared to the group of patients with mild to moderate disease. The level of anti-SARS-CoV-2 IgG antibodies was comparable in men and women. In patients over 60 years of age, a lower concentration of antibodies was observed than in patients under 60 years of age. In the vaccinated group, the level of antibodies was higher than in the unvaccinated group.ConclusionsThe study findings showed that the concentration of IgG anti-SARS-CoV-2 antibodies was not a parameter dependent on the sex of the patients, but rather on the severity of the disease and the age of the patients and their vaccination status.

Evaluation of molecular and bacteriological detection methods performed on the formalin-fixed paraffin-embedded biopsy samples collected from endometrial and lymph node tuberculosis suspected patients

BackgroundEndometrial Tuberculosis is one of the most common gynecological problems known to have serious implications for the quality of life like infertility. The commonly practiced histopathology solely relies on the suggestive feature of Tuberculosis (TB) with low specificity. Regarding the alternative bacteriological and molecular detection tools, little evidence was generated on their utility in the diagnosis of endometrial tuberculosis in Ethiopia. Therefore, we aim to investigate the detection rate of molecular and bacteriological detection methods on formalin-fixed paraffin-embedded biopsy samples for the diagnosis of endometrial and lymph node TB.MethodsA retrospective cross-sectional study was conducted on 90 formalin fixed paraffin embedded biopsy samples from patients with gynecologic and lymph problems collected between 2018 and 2022 at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. SPSS version 26 was used for statistical analysis. The diagnostic performance was calculated using the histopathology method as the reference standard. Cohen’s Kappa value was used to measure the level of agreement. A test with a P-value of < 0.05 was considered statistically significant.ResultsA total of 90 samples were analyzed in the current study. Auramine O, GeneXpert MTB/RIF assay, and Real-Time PCR tests have shown a detection rate of 32/90 (36%), 43/90 (47.8%), and 54/90 (60%) respectively (P ≤ 0.01). The sensitivity and specificity of AO were 38.1% and 95% respectively. RT PCR showed superior sensitivity followed by GeneXpert MTB/RIF assay, 70% and 58.6%. AO and molecular methods have shown a similarly low level of agreement with histopathology (Kappa value = 0.2).ConclusionsIn a resource-limited setting, the selection of diagnostic tools needs careful attention. Putting the patients on anti-TB treatments based solely on histopathological findings may lead to undesired and adverse complications. Therefore, applying molecular and bacteriological detection methods along with histopathology, could help minimize inappropriate antimicrobial use.