Sciforce Publications’ Post

Advances in the Treatment of Ph+ Chronic Myeloid Leukemia: A Comprehensive Study https://lnkd.in/dEGteA_h Chronic Myeloid Leukemia (CML) is a myeloproliferative disorder characterized by the presence of the Philadelphia chromosome (Ph+), resulting from a reciprocal translocation between chromosomes 9 and 22. The discovery of tyrosine kinase inhibitors (TKIs) has revolutionized the treatment landscape for Ph+ CML. This review article provides an in-depth analysis of the recent advancements in the treatment of Ph+ CML, focusing on the efficacy, safety, and emerging therapeutic strategies. The introduction outlines the historical progression from conventional therapies to the advent of tyrosine kinase inhibitors (TKIs), marking a pivotal shift in CML management. The abstract delves into the first-line treatment strategies, with a focus on imatinib, dasatinib, and nilotinib, highlighting their individual efficacies and safety profiles. A significant portion is dedicated to the exploration of second and third-generation TKIs, elucidating their distinct mechanisms of action, resistance patterns, and comparative effectiveness. Insights into the evolution of treatment strategies in response to emerging resistance and intolerance are provided, emphasizing the importance of mutation analysis in guiding therapeutic decisions. The abstract underscores the transformative impact of targeted therapy on Ph+ CML outcomes. It emphasizes the need for ongoing research to address challenges, optimize treatment sequencing, and explore novel agents that hold the promise of further improving the prognosis and quality of life for patients with Ph+ CML. #Chronic Myeloid Leukemia (CML) # Philadelphia chromosome (Ph ) #BCR-ABL1 fusion gene #Tyrosine kinase inhibitor

Synthesis of 4-amino-N-(4-((3-nitroacridin-9-yl)amino) phenyl)butane-1-sulfonamide (Acridine): A Novel Tyrosine Kinase Inhibitor Targeting Oncogenic Pathways https://lnkd.in/er45z7Us This manuscript outlines the efficient synthesis of Acridine, a novel tyrosine kinase inhibitor designed to target oncogenic pathways. The synthesis involves a strategic combination of nitration, amination, condensation, and reduction steps to afford the final compound. Acridine exhibits a unique structure, incorporating a 3-nitroacridin-9-yl moiety, positioning it as a promising candidate for further investigation in cancer therapy. The abstract provides a concise overview of the synthesis of Acridine, a novel tyrosine kinase inhibitor designed to target oncogenic pathways. The strategic synthesis involves nitration, amination, condensation, and reduction steps, yielding a compound with a 3-nitroacridin-9-yl moiety. Acridine emerges as a promising candidate for cancer therapy, exhibiting unique structural features poised for inhibition of tyrosine kinase pathways. The synthesis of Acridine commenced with the nitration of a carefully selected acridine derivative, introducing a crucial nitro functionality. Subsequent amination and condensation reactions facilitated the incorporation of an amino group, forming the core structure of Acridine through condensation with phenylbutane-sulfonamide. The reduction of the nitro group resulted in the final product, Acridine, characterized by ^1H NMR, ^13C NMR, mass spectrometry, and HPLC. Acridine's unique structure, featuring a 3-nitroacridin-9-yl moiety, positions it as a promising tyrosine kinase inhibitor for targeted cancer therapy. The abstract concludes by highlighting the potential of Acridine in inhibiting oncogenic pathways, paving the way for further studies to explore its biological activity, selectivity, and therapeutic applications in cancer treatment. #Acridine #Tyrosine Kinase Inhibitor # 3-nitroacridin-9-yl moiety

Body Fat Removal https://lnkd.in/eNi_TVPv Food fat gets distributed in the blood and therefore may be removed from the blood. Fat removal is simple and efficient using the blood circulation through the blood fat removal column described herein. The resulting body weight after 20 blood fat removal procedures might be 230 lbs. The patient has reached her body size fitting the suits purchased before the weight accumulation #Body fat removal; #blood circulation; #custom-made blood fat removal column; fat removal expenses

Manufacturing and formulation of topical products based on the Artemisia annua herb as active ingredient in the forms of Solid and Liquid Soaps and Cream https://lnkd.in/ehxNu8ft The purpose of this work is to make herbal topical products of solid and liquid soaps and cream based on the active ingredient of Artemisia annua herb. The herb used in this work is the dry extract of Artemisia annua herb, which was extracted by hydroalcoholic method. Physical and chemical analysis, identification test of Artemisia extract as active ingredient and auxiliary materials and also non-sensitizing test of these products have been done on the rabbit's skin that did not show no sensitivity and inflammation. It seems that herbal products based on of Artemisia extract as effective products have a useful and promising role as skin anti-inflammations on the skin of the body. #Artemisia annua #hydroalcoholic method #ingredient #anti-inflammations #skin

Homo Sapiens Sapiens Progressive Defaunation During The Great Acceleration: The Cli-Fi Apocalypse Hypothesis https://lnkd.in/ecvp9BEG This paper is meant to study the apocalyptic scenario of the at the perspectives of the Great Acceleration. the apocalyptic scenario is not a pure imagination of the literature works. Instead, scientific evidences are in favour of dramatic change in the climatic conditions related to the climax of Man actions. the modelling of the future climate leads to horrible situations including intolerable temperatures, dryness, tornadoes, and noticeable sear level rise evading coastal regions. Going far from these scientific claims, Homo Sapiens Sapiens extended his imagination through the Climate-Fiction (cli-fi) to propose a dramatic end. Climate Fiction is developed into a recording machine containing every kind of fictions that depict environmental condition events and has consequently lost its true significance. #Homo Sapiens Sapiens, #Great Acceleration, #Climate-Fiction

Nickel (Ni) may have influenced on the MMA(V) reductase and DMA(V) reductase activities for inorg-As biotransformation process in humans https://lnkd.in/eUFgyQ3C Trace elements (As, Se, Zn, Co, Cu, Pb, Cd, Ni, Mn, and Hg) were analyzed in blood of arsenic exposed people in Mexico by using ICP-MS to know the influence of trace elements on the MMA(V) and DMA(V) reductase activities for inorganic arsenic biotransformation process. The correlations between MMA(V) reductase and DMA(V) reductase activities in blood of both females and males were very weak (F, r= +0.06 and M, r= -0.03, respectively). The activities of MMA(V) and DMA(V) reductase were also not depended on ages of those population (r= -0.05 and r= -0.11, respectively). In this study, there were no significant differences of the MMA(V) reductase and DMA(V) reductase activities in bloods of females and males. Nickel concentrations in blood were positively and negatively correlated with MMA(V) and DMA(V) reductase activities in blood of both females and males, respectively. These correlations were statistically significant for females. In conclusion of this study suggest that Ni may have influenced for biotransformation process of inorganic arsenic (inorg-As) in humans and it could enhance arsenic methylation, decrease urinary MMA, and increase urinary DMA. Abbreviation: SAM, S-adenosyl-L-methionine; SAHC, S-adenosyl-L-homocysteine #Nickel (Ni) #Arsenic (As) #Biotransformation #MMA(V) reductase #DMA(V) reductase #Human blood

Hospitalized and Outpatient Kidney Transplant Recipients with COVID-19 https://lnkd.in/eaiTybpz As the number of COVID-19 infection raise is expected that more kidney transplant (KT) recipients will be affected. More information is need about the clinic factors that determine severe presentation in KT recipients with COVID-19. This is a retrospective observational single-center analysis of 18 KT recipients with confirmed SARS-CoV-2 infection between March to November of 2020. Ten patients (55.5%) needed hospitalization and 8 patients (44.4%) were managed as outpatient. Mean age was 45.3 ± 13.1 years and 61.1% were male. Hypertension was presented in 72.2%, diabetes in 33.3% and obesity in 22.1% of patients. Eleven patients (61.1%) had an identifiable sick contact. Hospitalized patients were older (52 ± 12.2 vs 37 ± 9.3 years; p value = 0.011), had lower baseline glomerular filtration rate (GFR) [39.0 (IQR 28.0 – 43.0) vs 59.0 ml/min/1.73m2 (IQR 41.3 – 101.0), p value= 0.021] and longer time since transplant (12.9 ± 6.9 vs 5.9 ± 6.5 years). Immunosuppression alteration occurred 90.0% of hospitalized patients vs 37.5% in outpatient (p value= 0.043). In hospitalized patients, 8 patients (80.0%) had acute kidney injury of which 2 patients needed renal replacement therapy. Recovery renal function was seen in 7 patients (70.0%) Hospitalized patients had a longer time to infection cure (35.6 ± 17.7 vs 21.6 ± 10.6 days). Age, GFR at admission and time since transplant were associated with COVID-19 severity in kidney transplant recipients. Further research is needed to determine the impact of immunosuppression on the risk for COVID-19 infection and severity.

Computational Molecular Biology in Data Science Applications on Bioinformatics in Genetic Sequencing of COVID Mutations https://lnkd.in/etU794pG This manuscript explores the intersection of computational molecular biology and data science in the analysis of SARS-CoV-2 genetic sequencing data. Leveraging advanced computational methods, we present a comprehensive examination of COVID-19 mutations, combining molecular insights with data-driven approaches. The integration of these disciplines contributes to a deeper understanding of the virus's genomic landscape and its implications for public health. Genomic sequences of SARS-CoV-2 were subjected to cutting-edge computational molecular biology techniques, including sequence alignment, variant calling, and molecular dynamics simulations. These methods provided a detailed examination of genetic variations and structural consequences associated with COVID-19 mutations. Concurrently, data science methodologies were employed for feature extraction, engineering, and the development of predictive models to discern functional outcomes. Molecular dynamics simulations revealed distinct structural changes correlated with specific mutations, particularly in the spike protein's receptor-binding domain. Supervised machine learning models demonstrated high accuracy in predicting the functional impact of mutations, emphasizing key genomic positions crucial for viral fitness and transmissibility. Network analysis unveiled central genes and pathways influenced by mutations, providing insights into potential drug targets and therapeutic interventions. The integration of computational molecular biology and data science represents a paradigm shift in our approach to understanding COVID-19 mutations. By combining molecular dynamics insights with predictive modeling and network analysis, this research contributes a holistic perspective on SARS-CoV-2 evolution. The multidisciplinary findings underscore the potential for targeted interventions and inform evidence-based public health strategies in the ongoing battle against the pandemic. #Computational Molecular Biology, #Data Science, #Bioinformatics, #Genetic Sequencing, #COVID-19 Mutations, #Machine Learning

Study of Stars Supplemental Provider Rating and its Impact on Healthcare Quality https://lnkd.in/epN_2DZK This research delves into the role of Stars Supplemental Provider Ratings in the healthcare domain and assesses their impact on healthcare quality. Through a comprehensive analysis of various healthcare providers, this study aims to shed light on the significance of Stars Supplemental Ratings as a metric for evaluating and improving healthcare services. This research aims to investigate the impact of Stars Supplemental Provider Ratings on healthcare quality, patient satisfaction, and clinical performance. The study adopts a comprehensive approach, combining quantitative and qualitative analyses to gain insights into the role of Stars Supplemental Ratings in the contemporary healthcare landscape. A diverse sample of healthcare providers, including hospitals, clinics, and individual practitioners, participated in the study. Quantitative data were collected through patient surveys, electronic health records, and Stars Supplemental Rating platforms. Qualitative insights were derived from in-depth analysis of patient comments associated with different star ratings. Statistical analyses, including correlation studies and multiple regression models, were employed to assess the relationships between Stars Supplemental Ratings, patient satisfaction, and clinical performance. Descriptive analysis revealed a mean Stars Supplemental Rating of 4.2 (SD = 0.6) across the sample. Positive correlations were identified between higher Stars Supplemental Ratings and increased patient satisfaction (r = 0.67, p < 0.001) as well as improved clinical performance (r = 0.42, p < 0.01). Qualitative analysis of patient comments highlighted themes of effective communication, personalized care, and extended wait times, contributing to a nuanced understanding of the patient experience. The findings suggest a significant positive association between Stars Supplemental Ratings, patient satisfaction, and clinical performance in the healthcare domain. Higher ratings were consistently linked with favorable patient experiences and adherence to evidence-based practices. These insights underscore the potential value of Stars Supplemental Ratings as a valuable tool for assessing and improving healthcare quality, fostering transparency, and aiding patients in making informed healthcare choices. #Stars Supplemental Rating, #Healthcare Quality, #Patient Satisfaction, #Clinical Performance, #Transparent Healthcare

Leveraging Data Analytics to Explore the Impact of CMS Medicare Measures on Health Screens and Stars Supplemental Provider Rating in Enhancing Preventive Care Approaches https://lnkd.in/ejKPwEiq This manuscript presents a comprehensive investigation into the impact of CMS Medicare Measures, specifically focusing on key health screens - Blood Pressure, A1C levels, EDCEYE screenings, Flu vaccinations, Breast Cancer screenings, Colorectal Cancer screenings, and Kidney health assessments. Additionally, the study explores the role of Stars Supplemental Provider Ratings in shaping and improving preventive care approaches within the CMS Medicare framework. The objective is to unravel the synergistic influence of both CMS measures and provider ratings in enhancing patient outcomes through preventive care strategies.The Centers for Medicare & Medicaid Services (CMS) Medicare Measures serve as benchmarks for healthcare quality assessment. This research focuses on elucidating the effectiveness of CMS Measures in shaping preventive care strategies. Additionally, the study delves into the role of Stars Supplemental Provider Ratings, examining how provider performance ratings further contribute to the promotion of preventive care within the CMS Medicare framework. Using advanced statistical methods, the analysis explores trends, correlations, and patterns associated with health screens and provider ratings. Preliminary findings suggest that higher CMS Medicare Measures correlate with improved health screen outcomes, including better management of Blood Pressure, A1C levels, adherence to EDCEYE screenings, increased Flu vaccination rates, enhanced efficacy of Breast and Colorectal Cancer screenings, and more proactive approaches to Kidney health assessments.Furthermore, the study examines the alignment of Stars Supplemental Provider Ratings with CMS Measures, exploring whether higher provider ratings are indicative of a stronger commitment to preventive care. The research seeks to unveil how providers with superior ratings contribute to the evolution of preventive care approaches, fostering a culture of proactive health management and positive patient outcomes. This research has practical implications for healthcare policy, practice, and future research initiatives. By understanding the collaborative impact of CMS Medicare Measures and Stars Supplemental Provider Ratings, stakeholders can refine strategies to incentivize and recognize providers who excel in preventive care. Ultimately, this study contributes valuable insights to the ongoing discourse on healthcare quality improvement within the CMS Medicare framework.