Vitamin D Receptor (VDR) Gene Polymorphisms and High-Turnover Renal Osteodystrophy or Secondary Hyperparathyroidism in End-Stage Renal Disease: A Systematic Review.

Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are often complicated by high-turnover renal osteodystrophy (HTRO) and secondary hyperparathyroidism (SHPT), characterized by disturbances in mineral metabolism and skeletal abnormalities. Genetic variations within the vitamin D receptor (VDR) gene, known as VDR gene polymorphisms, have been implicated in modulating the susceptibility to HTRO and SHPT. This systematic review aims to evaluate the existing literature on the association between VDR gene polymorphisms and the development of these complications in ESRD and hemodialysis patients. A comprehensive literature search across multiple databases was conducted, and studies investigating VDR gene polymorphisms and HTRO or SHPT in ESRD or hemodialysis patients were included. The included studies examined various VDR gene polymorphisms, such as BsmI, ApaI, TaqI, and FokI, and their associations with clinical outcomes like parathyroid hormone (PTH) levels, bone mineral density, and the development of SHPT or HTRO. The findings suggest that certain VDR gene polymorphisms, notably the ApaI "aa" genotype, BsmI "bb" genotype, TaqI "tt" genotype, and FokI variant, may contribute to the pathogenesis of SHPT and HTRO by affecting PTH levels, bone turnover markers, and vitamin D sensitivity. However, the studies had relatively small sample sizes and were conducted in different populations, limiting generalizability. Further larger-scale studies, functional investigations, and exploration of gene-environment interactions are warranted to elucidate the underlying mechanisms and facilitate personalized treatment approaches for CKD and ESRD patients with mineral and bone disorders.

Assessing the Renal Outcomes of Semaglutide in Diabetic Kidney Disease: A Systematic Review.

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes, posing a significant health burden. Semaglutide, a glucagon-like peptide-1 receptor agonist, has shown promise in mitigating renal outcomes in DKD. This systematic review aimed to evaluate the renal effects of semaglutide in individuals with DKD. A comprehensive literature search identified six eligible studies, including two case reports and four cohorts, from diverse geographic locations. The primary outcomes assessed were changes in estimated glomerular filtration rate (eGFR) and albuminuria. Secondary outcomes included acute kidney injury (AKI) incidence and other renal biomarkers. The impact of semaglutide on eGFR was variable, with some studies reporting decreases and others showing improvements or no significant changes. Albuminuria, however, was more consistently reduced, particularly in patients with macroalbuminuria. Notably, the case reports described semaglutide-associated AKI, including acute interstitial nephritis, highlighting the need for careful monitoring during therapy. Beyond renal outcomes, semaglutide consistently improved glycemic control and promoted weight loss, with generally manageable gastrointestinal side effects. The findings suggest that semaglutide may effectively reduce albuminuria in DKD, potentially slowing disease progression. However, the risk of AKI and the variable impact on eGFR underscore the need for a personalized approach and vigilant monitoring, particularly in patients with advanced CKD. Future large-scale, long-term randomized controlled trials are warranted to definitively assess the renal benefits and risks of semaglutide in DKD.

Maximizing Degumming Efficiency for Firmiana simplex Bark Using Deep Eutectic Solvents.

Degumming is a critical process in the purification of natural fibers, essential for enhancing their quality and usability across various applications. Traditional degumming methods employed for natural fibers encounter inherent limitations, encompassing prolonged procedures, excessive energy consumption, adverse environmental impact, and subpar efficiency. To address these challenges, a groundbreaking wave of degumming technique has emerged, transcending these constraints and heralding a new era of efficiency, sustainability, and eco-friendly techniques. This study represents the Firmiana simplex bark (FSB) fiber's delignification by using deep eutectic solvents (DESs). The study explores the application of deep eutectic solvents, by synthesizing different types of DES using a hydrogen bond acceptor (HBA) and four representative hydrogen bond donors (HBDs) for FSB fiber degumming. This study investigates the morphologies, chemical compositions, crystallinities, and physical properties of Firmiana simplex bark fibers before and after the treatment. Furthermore, the effects and mechanisms of different DESs on dispersing FSB fibers were examined. The experimental results showed that choline chloride-urea (CU)-based DES initiates the degumming process by effectively disrupting the hydrogen bond interaction within FSB fibers, primarily by outcompeting chloride ions. Following this initial step, the DES acts by deprotonating phenolic hydroxyl groups and cleaving ß-O-4 bonds present in diverse lignin units, thereby facilitating the efficient removal of lignin from the fibers. This innovative approach resulted in significantly higher degumming efficiency and ecofriendly as compared to traditional methods. Additionally, the results revealed that CU-based DES exhibits the utmost effectiveness in degumming FSB fibers. The optimal degumming conditions involve a precise processing temperature of 160 °C and a carefully controlled reaction time of 2 h yielding the most favorable outcomes. The present study presents a novel straightforward and environmentally friendly degumming method for Firmiana simplex bark, offering a substantial potential for enhancing the overall quality and usability of the resulting fibers. Our findings open new pathways for sustainable fiber-processing technologies.

Metformin and Atrial Fibrillation: A Systematic Review of Their Association.

Atrial fibrillation (AF) is a common cardiac arrhythmia with a significant impact on patient outcomes and healthcare systems. Given the rising incidence of AF with age and its association with conditions, such as diabetes, there is growing interest in exploring pharmacological interventions that might mitigate AF risk. Metformin, a widely prescribed antihyperglycemic agent for type 2 diabetes mellitus (T2DM), has demonstrated various cardiovascular benefits, including anti-inflammatory and antioxidative properties, leading to speculations about its potential role in AF prevention. This systematic review synthesizes findings from five studies examining the association between metformin use and AF risk in patients with T2DM. The review included a dynamic cohort study, three retrospective cohort studies, and a case report, all sourced from databases, such as PubMed, Embase, and the Cochrane Library. The results are mixed; while some studies suggest that metformin use is linked to a reduced incidence of AF, others report no significant association, particularly in postoperative settings. The largest cohort study highlighted a dose-response relationship, suggesting prolonged metformin use correlates with lower AF risk. Conversely, a case report raised concerns about metformin-induced lactic acidosis potentially triggering AF episodes. The review underscores the heterogeneity in study designs and outcomes, pointing to the need for more robust research to establish causality and clarify underlying mechanisms. Future studies should prioritize prospective designs and explore the pleiotropic effects of metformin on atrial remodeling and electrophysiology to better understand its potential role in AF prevention.

Burden and factors associated with occupational tuberculosis infection among high-risk workers in Lahore District, Pakistan.

INTRODUCTION: The main objective of the study was to estimate the burden of occupational tuberculosis infection in high-risk occupational workers and to identify risk factors associated with the prevalence of Mycobacterium tuberculosis complex (MTBC). METHODOLOGY: An analytical cross-sectional study was conducted among high-risk occupational workers including veterinarians, abattoir workers, animal handlers, livestock farmers, and microbiology laboratory workers. Sputum samples were collected from 100 participants and polymerase chain reaction (PCR) tests were done to diagnose tuberculosis (TB) infection. Data on potential risk factors was collected in a pre-designed questionnaire. The MTBC prevalence ratio was estimated. Logistic regression analysis was conducted to identify risk factors and the crude odds ratio (OR) was calculated. RESULTS: Among the 100 enrolled high risk occupational workers, the prevalence of MTBC was 46% (95% CI: 35.98-56.25). Living in a joint family (OR 3.85, 95% CI: 1.58-9.37), and use of unpasteurized milk (OR 3.42, 95% CI: 1.4-8.39), were significantly associated with MTBC infection. CONCLUSIONS: Tuberculosis is a significant health burden in high-risk occupational groups, especially animal handlers and laboratory workers, in Lahore, Pakistan. The study also emphasized the need for formal work-related training, and enhanced zoonotic TB awareness among occupational workers.

Risk factors associated with influenza A (H1N1)pdm09: a nested case control study of TB patients with ILI in Lahore District, Pakistan.

BACKGROUND: Co-morbidity with respiratory viruses including influenza A, cause varying degree of morbidity especially in TB patients compared to general population. This study estimates the risk factors associated with influenza A (H1N1)pdm09 in TB patients with ILI. METHODS: A cohort of tuberculosis (TB) patients who were admitted to and enrolled in a TB Directly Observed Therapy Program (DOTs) in tertiary care hospitals of Lahore (Mayo Hospital and Infectious Disease Hospital) were followed for 12 weeks. At the start of study period, to record influenza-like illness (ILI), a symptom card was provided to all the participants. Every participant was contacted once a week, in person. When the symptoms were reported by the participant, a throat swab was taken for the detection of influenza A (H1N1)pdm09. A nested case control study was conducted and TB patients with ILI diagnosed with influenza A (H1N1)pdm09 by conventional RT-PCR were selected as cases, while those who tested negative by conventional RT-PCR were enrolled as controls. All cases and controls in the study were interviewed face-to-face in the local language. Epidemiological data about potential risk factors were collected on a predesigned questionnaire. Logistic analysis was conducted to identify associated risk factors in TB patients with ILI. RESULTS: From the main cohort of TB patients (n = 152) who were followed during the study period, 59 (39%) developed ILI symptoms; of them, 39 tested positive for influenza A (H1N1)pdm09, while 20 were detected negative for influenza A (H1N1)pdm09. In univariable analysis, four factors were identified as risk factors (p < 0.05). The final multivariable model identified one risk factor (sharing of towels, P = 0.008)) and one protective factor (wearing a face mask, p = < 0.001)) for influenza A (H1N1)pdm09 infection. CONCLUSION: The current study identified the risk factors of influenza A (H1N1)pdm09 infection among TB patients with ILI.

Artificial intelligence and machine learning in peritoneal dialysis: a systematic review of clinical outcomes and predictive modeling.

BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) in peritoneal dialysis (PD) presents transformative opportunities for optimizing treatment outcomes and informing clinical decision-making. This study aims to provide a comprehensive overview of the applications of AI/ML techniques in PD, focusing on their potential to predict clinical outcomes and enhance patient care. MATERIALS AND METHODS: This systematic review was conducted according to PRISMA guidelines (2020), searching key databases for articles on AI and ML applications in PD. The inclusion criteria were stringent, ensuring the selection of high-quality studies. The search strategy comprised MeSH terms and keywords related to PD, AI, and ML. 793 articles were identified, with nine ultimately meeting the inclusion criteria. The review utilized a narrative synthesis approach to summarize findings due to anticipated study heterogeneity. RESULTS: Nine studies met the inclusion criteria. The studies varied in sample size and employed diverse AI and ML techniques, reflecting the breadth of data considered. Mortality prediction emerged as a recurrent theme, demonstrating the significance of AI and ML in prognostic accuracy. Predictive modeling extended to technique failure, hospital stay prediction, and pathogen-specific immune responses, showcasing the versatility of AI and ML applications in PD. CONCLUSIONS: This systematic review highlights the diverse applications of AI/ML in peritoneal dialysis, demonstrating their potential to enhance predictive accuracy, risk stratification, and decision support. However, limitations such as small sample sizes, single-center studies, and potential biases warrant further research and external validation. Future perspectives include integrating these AI/ML models into routine clinical practice and exploring additional use cases to improve patient outcomes and healthcare decision-making in PD.

Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease.

Mobile health (mHealth) interventions have emerged as a promising approach for cardiovascular disease (CVD) prevention and management. The proliferation of smartphones and wearable devices enables convenient access to health monitoring tools, educational resources, and communication with healthcare providers. mHealth interventions encompass mobile apps, wearables, and telehealth services that empower users to monitor vital signs, adhere to medication, and adopt healthier lifestyles. Their effectiveness hinges on user engagement, leveraging behavioral science principles and gamification strategies. While mHealth offers advantages such as personalized support and increased reach, it faces challenges pertaining to data privacy, security concerns, and resistance from healthcare providers. Robust encryption and adherence to regulations like the Health Insurance Portability and Accountability Act (HIPAA) are crucial for safeguarding sensitive health data. Integrating mHealth into clinical workflows can enhance healthcare delivery, but organizational adjustments are necessary. The future of mHealth is closely intertwined with artificial intelligence (AI), enabling remote monitoring, predictive algorithms, and data-driven insights. Tech giants are incorporating advanced health-tracking capabilities into their devices, paving the way for personalized wellness approaches. However, mHealth grapples with ethical dilemmas surrounding data ownership, privacy breaches, and inadvertent data capture. Despite its potential, mHealth necessitates a concerted effort to overcome obstacles and ensure ethical, secure, and practical implementation. Addressing technical challenges, fostering standardization, and promoting equitable access are pivotal for unlocking the transformative impact of mHealth on cardiovascular health and reducing the global burden of CVD.

The Glass Wall: Gendered Authorship Disparities in CD 19 and BCMA CAR-T Clinical Trials for Lymphoma and Myeloma.

INTRODUCTION: Existing literature suggests that women are significantly underrepresented in the field of hematology-oncology. Women make up 35.6% of hematologists and data on females as site investigators for pivotal trials and authors in publications of pivotal trials in hematologic malignancies, specifically in the novel niche of Chimeric antigen receptor T cell (CAR-T), is sparse. METHODS: We examined the proportion of women in pivotal trials, screening a total of 2180 studies from PubMed using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. 2180 initially searched records were filtered by date (2017-2023) and clinical trial status, yielding 149 records. Following a manual review, we included 15 studies that led to the approval of or anticipated approval of CD19 and BCMA CAR-T therapies in lymphoid and plasma cell malignancies. We examined overall number of female authors, number of lead female authors, and ratio of all authors to female authors in the 15 trials, which were all high impact, cited on average 1314 times. RESULTS: Of the 436 authors assessed, 132 were female, correlating to 29.5% female authorship. The only study with female authorship >50% was ELIANA, a 2017 pediatric study. 7 of the 15 studies had female lead authors; notably, 6 out of 7 of these studies were published in 2021 or later. CONCLUSION: In conclusion, our data suggests gender iniquities for female investigators exist in the field of immune effector cell therapy. We suggest further investigation and strategies to decrease gendered authorship disparities.

Synthesis of surfactant-assisted nickel ferrite nanoparticles (NFNPs@surfactant) to amplify their application as an advanced electrode material for high-performance supercapacitors.

Nickel ferrite nanoparticles (NFNPs) were synthesized in an alkaline medium (pH ∼ 11) using a wet chemical co-precipitation technique. To probe the effect of surfactants on the surface morphology, particle size and size distribution of nanoparticles; two surfactants, namely, cetyl trimethyl ammonium bromide (CTAB) and sodium dodecyl sulphate (SDS), were applied. The native and surfactant-assisted nickel ferrite NPs were characterized using Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), atomic force microscopy (AFM), dynamic light scattering (DLS) and transmission electron microscopy (TEM). The addition of surfactants (CTAB/SDS) effectively controlled the secondary growth of nickel ferrite particles and reduced their size, as examined by XRD, AFM, DLS, SEM and TEM. Characterization technique results affirmed that CTAB is a more optimistic surfactant to control the clustering, dispersion and particle size (∼22 nm) of NFNPs. To identify the impact of ferrite particle size on charge storage devices, their electrochemical properties were studied by using cyclic voltammetry (CV), galvanic charge-discharge (GCD) and electrochemical impedance spectroscopy (EIS) in 1 M KOH electrolyte through three-electrode assembly. NiFe2O4@CTAB showed a specific capacity of 267.1 C g-1, specific capacitance of 593.6 F g-1 and energy density of 16.69 W h kg-1, which was far better than the performances of other synthesized native NFNPs and NiFe2O4@SDS having larger surface areas.

Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches.

Chronic kidney disease (CKD) is a progressive condition characterized by gradual loss of kidney function, necessitating timely monitoring and interventions. This systematic review comprehensively evaluates the application of artificial intelligence (AI) and machine learning (ML) techniques for predicting CKD progression. A rigorous literature search identified 13 relevant studies employing diverse AI/ML algorithms, including logistic regression, support vector machines, random forests, neural networks, and deep learning approaches. These studies primarily aimed to predict CKD progression to end-stage renal disease (ESRD) or the need for renal replacement therapy, with some focusing on diabetic kidney disease progression, proteinuria, or estimated glomerular filtration rate (GFR) decline. The findings highlight the promising predictive performance of AI/ML models, with several achieving high accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve scores. Key factors contributing to enhanced prediction included incorporating longitudinal data, baseline characteristics, and specific biomarkers such as estimated GFR, proteinuria, serum albumin, and hemoglobin levels. Integration of these predictive models with electronic health records and clinical decision support systems offers opportunities for timely risk identification, early interventions, and personalized management strategies. While challenges related to data quality, bias, and ethical considerations exist, the reviewed studies underscore the potential of AI/ML techniques to facilitate early detection, risk stratification, and targeted interventions for CKD patients. Ongoing research, external validation, and careful implementation are crucial to leveraging these advanced analytical approaches in clinical practice, ultimately improving outcomes and reducing the burden of CKD.

Timing of Toxicities and Non-Relapse Mortality Following CAR T Therapy in Myeloma.

BCMA-directed chimeric antigen receptor T-cell (CAR T) therapies, including idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel), have transformed the treatment landscape for relapsed-refractory multiple myeloma (RRMM), offering remarkable efficacy with hallmark toxicity risks of cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). The FDA mandates a 4-week monitoring period at the treatment center as part of a Risk Evaluation and Mitigation Strategy (REMS) to monitor and manage these toxicities, which, while prudent, may add unnecessary challenges related to access and socioeconomic disparities. We sought to assess CRS and ICANS onset and duration, as well as causes of non-relapse mortality (NRM) in real-world BCMA CAR T recipients in order to better inform future changes to the monitoring guidelines for CAR T recipients. This is a retrospective study across four academic centers that examined 129 ide-cel and cilta-cel recipients that received CAR T cell infusions from May 2021 to June 2023. Infusion and toxicities were managed per institutional guidelines in accordance with previously published guidelines. While differences were noted in the incidence and duration of CRS/ ICANS between ide-cel and cilta-cel, late-onset CRS and ICANS were rare after 2 weeks following infusion (0% and 1.6%, respectively). NRM was driven by hemophagocytic lymphohistiocytosis and infections in the early follow-up period (1.1% until Day 29), then by infections through three months post-infusion (1.2%). Our findings suggest that 25% of patients had to relocate for 4 weeks due to distance from the treatment center. With the low risk of CRS and ICANS after 2 weeks, a flexible shorter monitoring period may be reasonable, emphasizing collaboration with referring oncologists to improve NRM.

Possible mechanisms to improve sleep spindles via closed loop stimulation during slow wave sleep: A computational study.

Sleep spindles are one of the prominent EEG oscillatory rhythms of non-rapid eye movement sleep. In the memory consolidation, these oscillations have an important role in the processes of long-term potentiation and synaptic plasticity. Moreover, the activity (spindle density and/or sigma power) of spindles has a linear association with learning performance in different paradigms. According to the experimental observations, the sleep spindle activity can be improved by closed loop acoustic stimulations (CLAS) which eventually improve memory performance. To examine the effects of CLAS on spindles, we propose a biophysical thalamocortical model for slow oscillations (SOs) and sleep spindles. In addition, closed loop stimulation protocols are applied on a thalamic network. Our model results show that the power of spindles is increased when stimulation cues are applied at the commencing of an SO Down-to-Up-state transition, but that activity gradually decreases when cues are applied with an increased time delay from this SO phase. Conversely, stimulation is not effective when cues are applied during the transition of an Up-to-Down-state. Furthermore, our model suggests that a strong inhibitory input from the reticular (RE) layer to the thalamocortical (TC) layer in the thalamic network shifts leads to an emergence of spindle activity at the Up-to-Down-state transition (rather than at Down-to-Up-state transition), and the spindle frequency is also reduced (8-11 Hz) by thalamic inhibition.

Hepatitis B Reactivation and Liver Failure Because of COVID-19 Infection.

Coronavirus disease 2019 (COVID-19) has been associated with liver injury incidence reported between 15% and 53%. Viral binding to ACE2 receptors in hepatobiliary cells is believed to cause liver inflammation. The relationship between hepatitis B and COVID-19 is poorly understood, but patients treated with immunosuppressive therapy for COVID-19 are at higher risk of hepatitis B reactivation (HBVr). We present a case of a patient with HBVr because of COVID-19, in the absence of any immunosuppressive treatment, leading to fulminant liver failure and subsequent requiring liver transplantation. Given low incidence, limited data, and no current guidelines, further studies are needed to evaluate the benefit and cost-effectiveness of anti-HBV prophylaxis in a patient with chronic hepatitis B (CHB) and COVID-19. Meanwhile, the American Association for the Study of Liver Diseases guidelines for patients with CHB and immunosuppressant use can be considered for anti-HBV prophylaxis for patients with CHB and COVID-19 to prevent HBVr on a case-by-case basis.

Comparison of biosimilar filgrastim and originator filgrastim for peripheral blood stem cell mobilization for allogeneic hematopoietic stem cell transplantation.

BACKGROUND: Nivestym, a biosimilar granulocyte colony-stimulating factor (G-CSF) to the originator filgrastim (Neupogen), is now being used for the mobilization of peripheral blood stem cells (PBSC) in allogeneic hematopoietic stem cell transplantation (allo-HSCT). We aim to compare the efficacy of Nivestym and Neupogen for PBSC mobilization in healthy allogeneic donors. METHODS: We conducted a retrospective single-center study including 541 adult allo-HSCT donors receiving Nivestym (January 2013-July 2020), or Neupogen (July 2020-June 2023) for donor PBSC mobilization. Bivariate analysis was conducted using SPSS version 28. Statistical significance was determined at a p-value <.05. RESULTS: Our study included 541 allo-HSCT donors who received Neupogen (n = 345, 64%) or Nivestym (n = 196, 36%) for PBSC mobilization. The median age was 47 years (range 17-76). The median donor weight was 86 kg (95% confidence interval [CI]: 87-91). Donors receiving Neupogen had similar pre-G-CSF white blood cell count, CD34+ percentages, and circulating CD34+ count compared with donors receiving Nivestym. The Neupogen group had similar median PBSC product total neutrophil count, CD34+ percentage, absolute CD34+ count, and infused CD34+ dose compared with the Nivestym group. For donors aged 35 years or younger, the median CD34+ dose was higher in donors who received Neupogen compared with Nivestym (6.9 vs. 6.3 million cells/kg, p = .044). CONCLUSIONS: Nivestym demonstrated similar efficacy for PBSC mobilization compared with Neupogen among allo-HSCT donors. In donors aged 35 years or younger, a slightly lower PBSC product CD34+ count was noted with Nivestym compared with Neupogen.

Satisfaction of patients in government medical teaching institutes of Peshawar Khyber Pakhtunkhwa, Pakistan: a cross-sectional analytical study.

Objective: To evaluate patient satisfaction and its associated factors in teaching hospitals. METHODS: The cross-sectional, analytical study was conducted from September to December 2022 at three publicsector medical teaching hospitals in Peshawar, Pakistan, and comprised adult patients of either admitted to various hospital wards for at least 2 days. Data was collected using a predesigned a closed-ended questionnaire assessing patient satisfaction in different domains like, facilitation at the admission, professional knowledge and skills of the attending doctors, quality of diagnostic and nursing services, and basic amenities. Data was analysed using SPSS version origin Pro 2022a. RESULTS: There were 473 patients with a male-female ratio of 3:1, with mean age 43.3+14.7 years (range: 11-85 years), and mean hospital stay 5.96+3.37 days (range: 2-18 days). Of the 2,365 response statements for facilitation at the admission counter, 2,051(87%) were positive; of the 2,365 statements for attending doctors, 2,012(85%) were positive; of the 2,838 statements for nursing care, 2,122(75%) were positive; of 946 statements for diagnostic services, 627(66%) were positive; and of the 3,311 statements for basic amenities at the hospital, 1,246(38%) were positive. Overall, of the 11,825 response statements, 8058(68%) were positive. The patient satisfaction was significantly co-related with education and hospital stay (p<0.05). Conclusion: Patients were found to be generally satisfied with healthcare services, but not with the provision of basic amenities.

Gastric Ulcer With Yttrium-90 Microsphere Selective Internal Radiation Therapy.

Radioembolization with yttrium-90 (Y90) is a recent oncological interventional radiology technique used to treat hepatocellular carcinoma and metastatic colon cancer to the liver. Although Y90 selective internal radiation therapy (Y90-SIRT) is considered a safe and effective treatment, with increasing use, hepatic and extrahepatic complications have been reported. Here, we present a case of upper gastrointestinal bleeding caused by gastric ulceration associated with radioembolization from Y90-SIRT, as confirmed by histological findings. Unlike dyspeptic ulcers, radioembolization ulcers originate on the serosal surface, predisposing patients to adhesions, bowel obstruction, or perforation, as well as gastrointestinal bleeding.

Advanced photocatalysis as a viable and sustainable wastewater treatment process: A comprehensive review.

In our era, water pollution not only poses a serious threat to human, animal, and biotic life but also causes serious damage to infrastructure and the ecosystem. A set of physical, chemical, and biological technologies have been exploited to decontaminate and/or disinfect water pollutants, toxins, microbes, and contaminants, but none of these could be ranked as sustainable and scalable wastewater technology. The photocatalytic process can harmonize the sunlight to degrade certain toxins, chemicals, microbes, and antibiotics, present in water. For example, transition metal oxides (ZnO, SnO2, TiO2, etc.), when integrated into an organic framework of graphene or nitrides, can bring about more than 90% removal of dyes, microbial load, pesticides, and antibiotics. Similarly, a modified network of graphitic carbon nitride can completely decontaminate petrochemicals. The present review will primarily highlight the mechanistic aspects for the removal and/or degradation of highly concerned contaminants, factors affecting photocatalysis, engineering designs of photoreactors, and pros and cons of various wastewater treatment technologies already in practice. The photocatalytic reactor can be a more viable and sustainable wastewater treatment opportunity. We hope the researcher will find a handful of information regarding the advanced oxidation process accomplished via photocatalysis and the benefits associated with the photocatalytic-type degradation of water pollutants and contaminants.

Computational biology approaches for drug repurposing.

The drug discovery and development (DDD) process greatly relies on the data available in various forms to generate hypotheses for novel drug design. The complex and heterogeneous nature of biological data makes it difficult to utilize or gather meaningful information as such. Computational biology techniques have provided us with opportunities to better understand biological systems through refining and organizing large amounts of data into actionable and systematic purviews. The drug repurposing approach has been utilized to overcome the expansive time periods and costs associated with traditional drug development. It deals with discovering new uses of already approved drugs that have an established safety and efficacy profile, thereby, requiring them to go through fewer development phases. Thus, drug repurposing through computational biology provides a systematic approach to drug development and overcomes the constraints of traditional processes. The current chapter covers the basics, approaches and tools of computational biology that can be employed to effectively develop repurposing profile of already approved drug molecules.

Use of Endpoints in Phase III Randomized Controlled Trials for Hematopoietic Stem Cell Transplantation Over the Last 15 Years: A Systematic Review.

This systematic review aimed to evaluate the proportion of primary and secondary endpoints in hematopoietic stem cell transplant (HSCT) phase III randomized clinical trials (RCTs) and analyze their trends in time and study sponsorship status. The Chi-square test and logistic regression analyses were performed using SPSS version 28. A total of 147 HSCT phase III RCTs from 2006 to 2021 reported 197 primary and 600 secondary endpoints. Overall survival (OS, 17 %), progression-free survival (PFS, 15 %), graft versus host disease (GVHD, 8 %), event-free survival (EFS, 8 %), and organ function (8 %) were the most common primary endpoints. GVHD (12.3 %, n = 74), safety/toxicity/adverse events (11.8 %, n = 71), OS (11.5 %, n = 69), PFS (9.3 %, n = 56), and relapse rate (RR; 7.5 %, n = 45) were the most common secondary endpoints during 2006-2021. After 2013, an increase was noted in the use of PFS as a primary endpoint (12 %-18 %, p = 0.196), while the use of OS as a primary endpoint declined (20 %-13 %, p = 0.170). An increase was observed in using the secondary endpoints RR (5 %-10 %, p = 0.047) and NRM (3 %-6 %, p = 0.047). EFS was used more (14 % vs. 4 %, p = 0.012) than ORR (11 % vs. 2 %, p = 0.003) as a primary endpoint in pharmaceutical-compared to non-pharmaceutical-sponsored studies. As secondary endpoints, the use of EFS (4 % vs. 1 %, p = 0.013) and ORR (4 % vs. 1 %, p = 0.028) was higher, whereas that of organ systems/functions (1.5 % vs. 5.5 %, p = 0.022) and GVHD (6.5 % vs. 15 %, p = 0.002) was lower in pharmaceutical-compared to non-pharmaceutical sponsored studies. GVHD-free relapse-free survival was reported as a primary endpoint in 2 % of studies, while only 5 % reported quality of life as a secondary endpoint. We described commonly used endpoints in HSCT phase III RCTs and patterns in their use over time by funding source and study intervention category.