Ion-Exchange Resin/Carrageenan-Copper-Based Nanocomposite: Artificial Neural Network, Advanced Thermodynamic Profiling, and Anticoagulant Studies.

Carrageenan (CG) and ion exchange resins (IERs) are better metal chelators. Kappa (κ) CG and IERs were synthesized and subjected to copper ion (Cu2+) adsorption to obtain DMSCH/κ-Cu, DC20H/κ-Cu, and IRP69H/κ-Cu nanocomposites (NCs). The NCs were studied using statistical physics formalism (SPF) at 315-375 K and a multilayer perceptron with five input nodes. The percentage of Cu2+ uptake efficiency was used as an outcome variable. Via the grand canonical ensemble, SPF gives models for both monolayer and multilayer sorption layers. For in vitro anticoagulant activity (ACA), the activated partial thromboplastin time were calculated using 100 µL of rabbit plasma incubated at 37 °C. After 2 min, 100 L of 0.025 M CaCl2 was added, and the clotting time was recorded for each group (n = 6). The results demonstrated that the key covariables for the adsorption process were pH and concentration. The results of artificial neural network models were comparable with the experimental findings. The error rates varied between 4.3 and 1.0%. The prediction analysis results ranged from 43.6 to 89.2. The ΔG and ΔS values for IRP69H/κ-Cu obtained were -18.91 and -16.32 and 26.21 and 22.74 kJ/mol for the temperatures 315 and 345 K, respectively. Adsorbate species were perpendicular to the adsorbent surfaces, notwithstanding the apparent importance of macro- and micropore volumes. These adsorbents typically fluctuate with temperature changes and contain one or more layers of sorption. Negative and positive sorption energies correspond to endothermic and exothermic processes. The biosorption energy (E1 and E2) values in this experiment have a value of less than 23 kJ mol-1. Complex SPF models' energy distributions validate surface properties and interactions with adsorbates. At a concentration of 100 µg/mL, DC20H/κ-Cu2+ exhibited an ACA of only 8 s. These NCs demonstrated better greater ACA with the order DC20H/κ < DMSCH/κ < IRP69H/κ. More research is needed to rule out the chemical processes behind the ACA of CG/IER-Cu NCs.

SARS-CoV-2-induced phosphorylation and its pharmacotherapy backed by artificial intelligence and machine learning.

Aims: To investigate the role of phosphorylation in SARS-CoV-2 infection, potential therapeutic targets and its harmful genetic sequences. Materials & Methods: Data mining techniques were employed to identify upregulated kinases responsible for proteomic changes induced by SARS-CoV-2. Spike and nucleocapsid proteins' sequences were analyzed using predictive tools, including SNAP2, MutPred2, PhD-SNP, SNPs&Go, MetaSNP, Predict-SNP and PolyPhen-2. Missense variants were identified using ensemble-based algorithms and homology/structure-based models like SIFT, PROVEAN, Predict-SNP and MutPred-2. Results: Eight missense variants were identified in viral sequences. Four damaging variants were found, with SNPs&Go and PolyPhen-2. Promising therapeutic candidates, including gilteritinib, pictilisib, sorafenib, RO5126766 and omipalisib, were identified. Conclusion: This research offers insights into SARS-CoV-2 pathogenicity, highlighting potential treatments and harmful variants in viral proteins.

This study explores the process called phosphorylation, which involves adding phosphate groups to certain proteins, influences the way the SARS-CoV-2 virus causes disease. The virus manipulates host enzymes to help it spread and survive. Researchers used data analysis techniques to identify the proteins that play a role in this process, aiming to find potential targets for treatments. They analyzed genetic sequences of key virus proteins and used various tools to predict harmful mutations. The study found several promising compounds that could be used to target the virus. Further research and experiments are needed to confirm their effectiveness as COVID-19 treatments.

This research explored the process called phosphorylation, which involves adding certain molecules to proteins, affects how the SARS-CoV-2 virus makes people sick. The virus uses our own cell's machinery to help it spread. Researchers used computer analysis to find out which proteins are involved in this process, hoping to find new ways to treat COVID-19. They studied the genetic code of important parts of the virus and used computer programs to predict if there were harmful changes in the code. They found some potential medicines that could be used to fight the virus and reduce its harm, but more research and testing are needed to be sure.

Comparison of Prognostic Scores in Early Phase Clinical Trials: A 10-year Single Centre Australian Experience.

BACKGROUND/AIM: Early phase clinical trials (EPCTs) assess the tolerability of novel anti-cancer therapeutics in patients with advanced malignancy. Patient selection is important given the modest clinical benefit and time commitments for trials. Prognostic scores have been developed to facilitate identification of high-risk patients. This study aimed to compare five prognostic scores to predict survival for patients on an EPCT. PATIENTS AND METHODS: We performed a retrospective review of patients enrolled in EPCT at Liverpool Hospital, Sydney, from 2013 to 2023. Demographic, biochemical, and survival data were collected from electronic medical records. The score from five prognostic scoring systems (Royal Marsden hospital, MD Anderson Cancer centre, Gustave Roussy Immune, MD Anderson Immune Checkpoint Inhibitor and Princess Margaret Hospital Index) were calculated. Overall survival was measured using the Kaplan-Meier method and predictive discrimination was assessed using Harrell's c-index. RESULTS: A total of 218 patients across 36 EPCTs were included. The median overall survival was 9.8 months with 22% of patients dying in less than 90 days. Seventeen to thirty-four percent of patients were categorised as high-risk. The MDACC score obtained the highest predictability for overall survival for the whole cohort (c-index=0.67, 95%CI=0.62-0.72) and the immunotherapy-based cohort (c-index= 0.65, 95%CI=0.59-0.71). However, all scores performed similarly with a significant overlap in the confidence intervals. CONCLUSION: Our retrospective audit confirms the utility of prognostic scores to predict survival in an Australian EPCT cohort, with similar predictive discrimination across various scoring systems. Integration of these prognostic tools into EPCT screening processes may optimise benefits and reduce risks associated with EPCTs.

Prevalence and Distribution of Dental Anomalies in Schoolchildren in Kuwait.

OBJECTIVE: Dental anomalies (DA) can affect paediatric patients' aesthetics, function, and psychological well-being. There is a lack of data about the prevalence of DA in children in Kuwait. This study aimed to investigate the prevalence and distribution of DA amongst schoolchildren aged 8 to 12 years. METHODS: A retrospective study was conducted using panoramic digital radiographs of children who attended a single dental center. All radiographs were evaluated by 2 calibrated and trained examiners. RESULTS: DA were present in 110 (20.1%) out of the 546 panoramic radiographs examined: 53.6% in females and 46.4% in males. The mean age of children with DA (9.83 ± 1.29) was similar to that of children with no anomalies (9.96 ± 1.46). The most prevalent anomaly was dental agenesis (9.3%), followed by taurodontism (6.6%) and ectopic eruption (EE, 2%). DA were more common in the maxilla (58.2%) compared to the mandible (41.8%, P = .042). Congenitally missing teeth were significantly more frequent in the mandible (56.9%) than in the maxilla (43.1%, P = .003). EE was significantly more common in the maxilla (90.9%) than in the mandible (9.1%, P = .024). Microdontia and root dilacerations were only present in males, whilst supernumerary teeth, transposition, and impacted teeth were noted in females only. CONCLUSIONS: The prevalence of DA amongst schoolchildren in Kuwait was considered to be relatively high. Certain DA were associated with gender. The significant prevalence of DA highlights the need for early diagnosis using panoramic radiographs, particularly during the ages of 9 and 10, in order to ensure effective patient management.

Assessment of Tocilizumab (Humanized Monoclonal Antibody) for Therapeutic Efficacy and Clinical Safety in Patients with Coronavirus Disease (COVID-19).

Background and objectives: COVID-19 patients exhibit a broad range of manifestations, presenting with a flu-like respiratory tract infection that can advance to a systemic and severe disease characterized by pneumonia, pulmonary edema, severe damage to the airways, and acute respiratory distress syndrome (ARDS, causing fatality in 70% of COVID-19 cases). A 'cytokine storm' profile is found in most severely influenced COVID-19 patients. The treatment protocol of the disease also includes tocilizumab, which is a humanized monoclonal antibody used to treat autoimmune and inflammatory conditions. This study was designed (1) to assess the role of tocilizumab in COVID-19 patients regarding therapeutic efficacy through evaluation of cytokine release syndrome (CRS) resolution and anticoagulant effect, analyzing clinical safety via monitoring of associated adverse effects profile; and (2) to compare the clinical safety and therapeutic efficacy of institutional treatment regimen (alone) versus tocilizumab added to an institutional treatment module in COVID-19 patients. Materials and Methods: In this study, the endpoints parametric assessment of severely diseased patients of COVID-19 was performed (total n = 172, control group (institutional protocol treatment provided), n = 101 and test group (tocilizumab provided), n = 71) at the Khyber Teaching Institution, MTI, Peshawar. The assessments were compared using non-parametric analyses at baseline and after a follow-up of 12−18 days until the patient discharged or expired. Results: Results of the study revealed an insignificant difference among the control vs. test group in resolving inflammatory parameters (C-reactive protein (CRP) 21.30 vs. 50.07; p = 0.470, ferritin 482.9 vs. 211.5; p = 0.612, lactate dehydrogenase (LDH) 29.12 vs.18.8; p = 0.0863, and D-dimer 464 vs.164.4; p = 0.131). However, a statistically significant difference was found between the control group and test group regarding coagulation parameters (international normalized ratio (INR) 0.12 vs. −0.07; p ≤ 0.001; activated partial thromboplastin time (aPTT) 0.42 vs. −1.16; p ≤ 0.001; prothrombin time (PT) 0.31 vs. −0.96; p ≤ 0.001; platelet count −12.34 vs. −1.47; p = 0.012) and clinical survival rate (89.10 vs. 90.14; p < 0.001). Furthermore, there was significantly higher infection rates and raised alanine aminotransferase (ALT) and alkaline phosphatase (ALP) associated with the tocilizumab group as compared to those receiving institutional treatment (bacterial infections: 0.99% vs. 15.49%; p ≤ 0.01, ALT: 3.96% vs. 28.16%; p ≤ 0.01, ALP: 1.98% vs. 22.53%; p ≤ 0.01). Conclusions: From this study, it was concluded that tocilizumab can be a better drug of choice in terms of efficacy, particularly in resolving coagulopathy in severe COVID-19 patients.

Harnessing Liquid Biopsies to Guide Immune Checkpoint Inhibitor Therapy.

Immunotherapy (IO), involving the use of immune checkpoint inhibition, achieves improved response-rates and significant disease-free survival for some cancer patients. Despite these beneficial effects, there is poor predictability of response and substantial rates of innate or acquired resistance, resulting in heterogeneous responses among patients. In addition, patients can develop life-threatening adverse events, and while these generally occur in patients that also show a tumor response, these outcomes are not always congruent. Therefore, predicting a response to IO is of paramount importance. Traditionally, tumor tissue analysis has been used for this purpose. However, minimally invasive liquid biopsies that monitor changes in blood or other bodily fluid markers are emerging as a promising cost-effective alternative. Traditional biomarkers have limitations mainly due to difficulty in repeatedly obtaining tumor tissue confounded also by the spatial and temporal heterogeneity of tumours. Liquid biopsy has the potential to circumvent tumor heterogeneity and to help identifying patients who may respond to IO, to monitor the treatment dynamically, as well as to unravel the mechanisms of relapse. We present here a review of the current status of molecular markers for the prediction and monitoring of IO response, focusing on the detection of these markers in liquid biopsies. With the emerging improvements in the field of liquid biopsy, this approach has the capacity to identify IO-eligible patients and provide clinically relevant information to assist with their ongoing disease management.

Assessing Knowledge and Perception Regarding Antimicrobial Stewardship and Antimicrobial Resistance in University Students of Pakistan: Findings and Implications.

The irrational use of antimicrobials has enormously contributed to antimicrobial resistance (AMR) globally and especially in the developing world. To assess the knowledge and perception regarding AMR and antimicrobial stewardship (AMS), a descriptive cross-sectional study was carried out in university students enrolled in pharmacy, veterinary, and biology programs by using an online self-administered questionnaire. The Chi-square and Fisher exact tests (where applicable) were performed to assess the association of the demographics with the students' knowledge and perception regarding AMR and AMS. A total of 496 students completed the questionnaire, among which, 85.7% of the participants were familiar with the term AMR and 79.4% of the participants correctly identified a poorly designed dosing regimen as a contributing factor towards AMR. The majority of participants (57.9%) were familiar with the term AMS and 86.5% were aware of the aim of AMS. The participants showed good knowledge regarding AMR and AMS, but to further improve student knowledge and perception of AMS and AMR, it is suggested that dedicated modules on antibiotic use and AMS should be incorporated into the curricula of these undergraduate and postgraduate programs.

Polypharmacy and the use of low or limited value medications in advanced cancer.

BACKGROUND: Patients with advanced malignancy are often on medications for co-morbidities, including those for primary or secondary prevention. The benefit from these medications can be limited and may result in adverse effects, interact with medications used for the malignancy or associated symptoms, increase pill burden and reduce quality of life. AIMS: To evaluate the proportion of patients with advanced malignancy that were continued on low or limited value medications and identify the factors associated with this. We also sought to determine how prevalent polypharmacy was within this group of patients and the factors associated with this. METHODS: A retrospective chart review was conducted of patients with incurable malignancy admitted under medical oncology at Liverpool Hospital over a 90-day period. Demographic variables, co-morbidities, disease related parameters and medications were reviewed. Criteria were established to identify low or limited value medications. RESULTS: Seventy-eight patients were identified between September and December 2018. Thirty-day mortality was 33%. Sixty-five percent of the cohort was on five or more medications and 24% on 10 or more. One low or limited value medication was reported in 36% and 20% were on two or more. Age ≤60 years was associated with a risk of being on at least one unnecessary medication. Patients with fewer co-morbidities and those in their last 3 months of life were significantly less likely to have polypharmacy. Nine percent of the cohort was on three or more antihypertensives and 6% of patients were on three or more oral hypoglycaemics. CONCLUSION: Polypharmacy and continued prescribing of low or limited value medications was identified in a high proportion of patients. Further studies are needed to assess the impact of continuing these medications, as well as investigation of patient and physician attitudes towards de-escalation.