Comparative Analysis of the Impact of Protein on Virus Retention for Different Virus Removal Filters.

The performance of virus filters is often determined by the extent of protein fouling, which can affect both filtrate flux and virus retention. However, the mechanisms governing changes in virus retention in the presence of proteins are still not well understood. The objective of this work was to examine the effect of proteins on virus retention by both asymmetric (Viresolve® NFP and Viresolve® Pro) and relatively homogeneous (Ultipor® DV20 and PegasusTM SV4) virus filtration membranes. Experiments were performed with bacteriophage ϕX174 as a model parvovirus and human serum immunoglobulin G (hIgG) as a model protein. The virus retention in 1 g/L hIgG solutions was consistently less than that in a protein-free buffer solution by between 1 to 3 logs for the different virus filters. The virus retention profiles for the two homogeneous membranes were very similar, with the virus retention being highly correlated with the extent of flux decline. Membranes prefouled with hIgG and then challenged with phages also showed much lower virus retention, demonstrating the importance of membrane fouling; the one exception was the Viresolve® Pro membrane, which showed a similar virus retention for the prefouled and pristine membranes. Experiments in which the protein was filtered after the virus challenge demonstrated that hIgG can displace previously captured viruses from within a filter. The magnitude of these effects significantly varied for the different virus filters, likely due to differences in membrane morphology, pore size distribution, and chemistry, providing important insights into the development/application of virus filtration in bioprocessing.

Thymoquinone, artemisinin, and thymol attenuate proliferation of lung cancer cells as Sphingosine kinase 1 inhibitors.

Sphingosine-1-phosphate (S1P) formed via catalytic actions of sphingosine kinase 1 (SphK1) behaves as a pro-survival substance and activates downstream target molecules associated with various pathologies, including initiation, inflammation, and progression of cancer. Here, we aimed to investigate the SphK1 inhibitory potentials of thymoquinone (TQ), Artemisinin (AR), and Thymol (TM) for the therapeutic management of lung cancer. We implemented docking, molecular dynamics (MD) simulations, enzyme inhibition assay, and fluorescence measurement studies to estimate binding affinity and SphK1 inhibitory potential of TQ, AR, and TM. We further investigated the anti-cancer potential of these compounds on non-small cell lung cancer (NSCLC) cell lines (H1299 and A549), followed by estimation of mitochondrial ROS, mitochondrial membrane potential depolarization, and cleavage of DNA by comet assay. Enzyme activity and fluorescence binding studies suggest that TQ, AR, and TM significantly inhibit the activity of SphK1 with IC50 values of 35.52 µM, 42.81 µM, and 53.68 µM, respectively, and have an excellent binding affinity. TQ shows cytotoxic effect and anti-proliferative potentials on H1299 and A549 with an IC50 value of 27.96 µM and 54.43 µM, respectively. Detection of mitochondrial ROS and mitochondrial membrane potential depolarization shows promising TQ-induced oxidative stress on H1299 and A549 cell lines. Comet assay shows promising TQ-induced oxidative DNA damage. In conclusion, TQ, AR, and TM act as potential inhibitors for SphK1, with a strong binding affinity. In addition, the cytotoxicity of TQ is linked to oxidative stress due to mitochondrial ROS generation. Overall, our study suggests that TQ is a promising inhibitor of SphK1 targeting lung cancer therapy.

Oxidized Cholesterol Derivatives in Fraction B Prepared from Gulf Catfish (Arius bilineatus, Val.) Skin Regulate Calcium Response and Neutrophil Extracellular Traps (NETs) Formation.

In this study, we present in vitro actions of pure commercial preparations of oxidized and/or dehydrated metabolites of cholesterol (OS) identified in the lipid fraction of Fraction B (FB) prepared from a catfish skin preparation on calcium transients and on the formation of human neutrophil extracellular traps (NETs). These investigations are part of an ongoing effort to understand the important roles these compounds play as components of FB when FB is applied to accelerate the healing of wounds and the healing of highly infected non-healing diabetic foot ulcers, without the use of antibiotics. Our aim was to determine potential therapeutic interventions for various disease states. Our results reveal interesting findings, demonstrating specific actions of the individual compounds. Compounds 7α-hydroxy-cholesterol (S3), Cholestane-3,5,6-triol (S5), 5-cholesten-3ß-ol-7-one (S8) and Cholesta-3,5 dien-7-one (S10) are inhibitory, while Cholesterol 5ß,6ß-epoxide (S4) and 5α-cholestane-3,6-dione (S11) activate the response for calcium influx in human neutrophils. A somewhat similar response is observed in dHL60 cell lines, where S3, S5, S7, S8, and cholesta-2,4-diene (S14) inhibit the calcium influx, although S4, S10, and S11 activate the response in this cell line. Furthermore, we observed a relationship between actions against NETosis and calcium transients. Interestingly, relative to the vehicle control, S3, Cholesta-3,5 diene (S9), and S14 appeared to significantly stimulate DNA release (NETosis), while S2, 7α-hydroxy-cholesterol (S6) and cholesta-3,5 dien-7-one (S10) caused lesser stimulation. We provide the IC50 activities for each compound tested in each assay. Calcium influx and NETs formation (NETosis) correlate with diseases exacerbation. These findings offer valuable insights into the potential therapeutic applications of individual OS for various diseases, highlighting their importance in future interventions.

Advancing material property prediction: using physics-informed machine learning models for viscosity.

In materials science, accurately computing properties like viscosity, melting point, and glass transition temperatures solely through physics-based models is challenging. Data-driven machine learning (ML) also poses challenges in constructing ML models, especially in the material science domain where data is limited. To address this, we integrate physics-informed descriptors from molecular dynamics (MD) simulations to enhance the accuracy and interpretability of ML models. Our current study focuses on accurately predicting viscosity in liquid systems using MD descriptors. In this work, we curated a comprehensive dataset of over 4000 small organic molecules' viscosities from scientific literature, publications, and online databases. This dataset enabled us to develop quantitative structure-property relationships (QSPR) consisting of descriptor-based and graph neural network models to predict temperature-dependent viscosities for a wide range of viscosities. The QSPR models reveal that including MD descriptors improves the prediction of experimental viscosities, particularly at the small data set scale of fewer than a thousand data points. Furthermore, feature importance tools reveal that intermolecular interactions captured by MD descriptors are most important for viscosity predictions. Finally, the QSPR models can accurately capture the inverse relationship between viscosity and temperature for six battery-relevant solvents, some of which were not included in the original data set. Our research highlights the effectiveness of incorporating MD descriptors into QSPR models, which leads to improved accuracy for properties that are difficult to predict when using physics-based models alone or when limited data is available.

Impact of proteins and protein fouling on virus retention during virus removal filtration.

Virus filtration is a crucial step in ensuring the high levels of viral clearance required in the production of biotherapeutics produced in mammalian cells or derived from human plasma. Previous studies have reported that virus retention is often reduced in the presence of therapeutic proteins due to membrane fouling; however, the underlying mechanisms controlling this behavior are still not well understood. Experimental studies were performed with a single layer of the commercially available dual-layer PegasusTM SV4 virus removal filter to more easily interpret the experimental results. Bacteriophage ФX174 was used as a model parvovirus, and human immunoglobulin (hIgG) and Bovine Serum Albumin (BSA) were used as model proteins. Data obtained with 5 g/L solutions of hIgG showed more than a 100-fold reduction in virus retention compared to that in the protein-free solution. Similar effects were seen with membranes that were pre-fouled with hIgG and then challenged with ФX174. The experimental data were well-described using an internal polarization model that accounts for virus capture and accumulation within the virus filter, with the hIgG nearly eliminating the irreversible virus capture while also facilitating the release of previously captured virus. These results provide important insights into the performance and validation of virus removal filters in bioprocessing.

The Molecular Blueprint for Chronic Obstructive Pulmonary Disease (COPD): A New Paradigm for Diagnosis and Therapeutics.

The global prevalence of chronic obstructive pulmonary disease (COPD) has increased over the last decade and has emerged as the third leading cause of death worldwide. It is characterized by emphysema with prolonged airflow limitation. COPD patients are more susceptible to COVID-19 and increase the disease severity about four times. The most used drugs to treat it show numerous side effects, including immune suppression and infection. This review discusses a narrative opinion and critical review of COPD. We present different aspects of the disease, from cellular and inflammatory responses to cigarette smoking in COPD and signaling pathways. In addition, we highlighted various risk factors for developing COPD apart from smoking, like occupational exposure, pollutants, genetic factors, gender, etc. After the recent elucidation of the underlying inflammatory signaling pathways in COPD, new molecular targeted drug candidates for COPD are signal-transmitting substances. We further summarize recent developments in biomarker discovery for COPD and its implications for disease diagnosis. In addition, we discuss novel drug targets for COPD that could be explored for drug development and subsequent clinical management of cardiovascular disease and COVID-19, commonly associated with COPD. Our extensive analysis of COPD cause, etiology, diagnosis, and therapeutic will provide a better understanding of the disease and the development of effective therapeutic options. In-depth knowledge of the underlying mechanism will offer deeper insights into identifying novel molecular targets for developing potent therapeutics and biomarkers of disease diagnosis.

Investigating potential of cholic acid, syringic acid, and mangiferin as cancer therapeutics through sphingosine kinase 1 inhibition.

The signaling of sphingosine kinase 1 (SphK1) and sphingosine-1-phosphate (S1P) regulates various diseases, including multiple sclerosis, atherosclerosis, rheumatoid arthritis, inflammation-related ailments, diabetes, and cancer. SphK1 is considered an attractive potential drug target and is extensively explored in cancer and other inflammatory diseases. In this study, we have investigated the inhibitory potential and binding affinity of SphK1 with cholic acid (CA), syringic acid (SA), and mangiferin (MF) using a combination of docking and molecular dynamics (MD) simulation studies followed by experimental measurements of binding affinity and enzyme inhibition assays. We observed these compounds bind to SphK1 with a significantly high affinity and eventually inhibit its kinase activity with IC50 values of 28.23 µM, 33.35 µM, and 57.2 µM for CA, SA, and MF, respectively. Further, the docking and 100 ns MD simulation studies showed that CA, SA, and MF bind with the active site residues of SphK1 with favorable energy and strong non-covalent interactions that might be accountable for inhibiting its kinase activity. Our finding indicates that CA, SA, and MF may be implicated in designing novel anti-cancer therapeutics with an improved affinity and lesser side effects by targeting SphK1.

A Case Report of Necrotizing Fasciitis Managed With the Application of Negative Pressure Wound Therapy to Achieve Better Wound Closure.

Necrotizing fasciitis is a severe and potentially life-threatening infection of the soft tissues that involves the skin, subcutaneous fat, fascia, and muscle. It can rapidly spread and lead to tissue death, sepsis, toxic shock syndrome, cardiopulmonary failure, and even death, especially in patients with chronic diseases, immunocompromised status, or immobility. To control the spread of necrosis, prompt diagnosis and aggressive surgical intervention with radical debridement of the affected tissues are essential, along with the administration of broad-spectrum antibiotics and intensive care support, when required. The application of negative pressure wound therapy has been utilized in the management of acute and complicated wounds with good outcomes. Here, we present a case of an 82-year-old female who presented with fever, tachycardia, and hypotension with underlying comorbid conditions of diabetes mellitus, hypertension, and spinal stenosis. On further exploration, she was found to have necrotizing fasciitis involving the left gluteal region. The present article describes the use of a vacuum-assisted closure dressing as an adjunct to serial debridement in the treatment of severe necrotizing fasciitis.

Development of scalable and generalizable machine learned force field for polymers.

Understanding and predicting the properties of polymers is vital to developing tailored polymer molecules for desired applications. Classical force fields may fail to capture key properties, for example, the transport properties of certain polymer systems such as polyethylene glycol. As a solution, we present an alternative potential energy surface, a charge recursive neural network (QRNN) model trained on DFT calculations made on smaller atomic clusters that generalizes well to oligomers comprising larger atomic clusters or longer chains. We demonstrate the validity of the polymer QRNN workflow by modeling the oligomers of ethylene glycol. We apply two rounds of active learning (addition of new training clusters based on current model performance) and implement a novel model training approach that uses partial charges from a semi-empirical method. Our developed QRNN model for polymers produces stable molecular dynamics (MD) simulation trajectory and captures the dynamics of polymer chains as indicated by the striking agreement with experimental values. Our model allows working on much larger systems than allowed by DFT simulations, at the same time providing a more accurate force field than classical force fields which provides a promising avenue for large-scale molecular simulations of polymeric systems.

A Comprehensive Review of miRNAs and Their Epigenetic Effects in Glioblastoma.

Glioblastoma is the most aggressive form of brain tumor originating from glial cells with a maximum life expectancy of 14.6 months. Despite the establishment of multiple promising therapies, the clinical outcome of glioblastoma patients is abysmal. Drug resistance has been identified as a major factor contributing to the failure of current multimodal therapy. Epigenetic modification, especially DNA methylation has been identified as a major regulatory mechanism behind glioblastoma progression. In addition, miRNAs, a class of non-coding RNA, have been found to play a role in the regulation as well as in the diagnosis of glioblastoma. The relationship between epigenetics, drug resistance, and glioblastoma progression has been clearly demonstrated. MGMT hypermethylation, leading to a lack of MGMT expression, is associated with a cytotoxic effect of TMZ in GBM, while resistance to TMZ frequently appears in MGMT non-methylated GBM. In this review, we will elaborate on known miRNAs linked to glioblastoma; their distinctive oncogenic or tumor suppressor roles; and how epigenetic modification of miRNAs, particularly via methylation, leads to their upregulation or downregulation in glioblastoma. Moreover, we will try to identify those miRNAs that might be potential regulators of MGMT expression and their role as predictors of tumor response to temozolomide treatment. Although we do not impact clinical data and survival, we open possible experimental approaches to treat GBM, although they should be further validated with clinically oriented studies.

Elucidating molecular and cellular targets and the antiprostate cancer potentials of promising phytochemicals: a review.

Prostate cancer (PCa) has become the major health problem and the leading causes of cancer mortality among men. PCa often progresses from an early androgen-dependent form of cancer to a late (metastatic) androgen-independent cancer, for which no effective treatment options are available. Current therapies target testosterone depletion, androgen axis inhibition, androgen receptor (AR) downregulation and regulation PSA expression. These conventional treatment options, however, are intense and pose severe side effects. From the past few years, plant-derived compounds or phytochemicals have attracted much attention by the researchers worldwide for their promising approach in inhibiting the development and growth of cancer. This review emphasizes mechanistic role of promising phytochemicals on PCa. This review imparts to score anticancer efficacy of promising phyto-agents luteolin, fisetin, coumestrol and hesperidin with focus on the mechanistic action in management and treatment of PCa. These phytocompounds were also selected for their best binding affinity with the ARs on the basis of molecular docking studies.

EVALUATION OF HYDROCORTISONE, VITAMIN C, AND THIAMINE FOR THE TREATMENT OF SEPTIC SHOCK: A RANDOMIZED CONTROLLED TRIAL (THE HYVITS TRIAL).

ABSTRACT: Purpose: The aim of the study is to evaluate the effect of combined hydrocortisone, vitamin C, and thiamine (triple therapy) on the mortality of patients with septic shock. Methods : This multicenter, open-label, two-arm parallel-group, randomized controlled trial was conducted in four intensive care units in Qatar. Adult patients diagnosed with septic shock requiring norepinephrine at a rate of ≥0.1 µg/kg/min for ≥6 h were randomized to a triple therapy group or a control group. The primary outcome was in-hospital mortality at 60 days or at discharge, whichever occurred first. Secondary outcomes included time to death, change in Sequential Organ Failure Assessment (SOFA) score at 72 h of randomization, intensive care unit length of stay, hospital length of stay, and vasopressor duration. Results: A total of 106 patients (53 in each group) were enrolled in this study. The study was terminated early because of a lack of funding. The median baseline SOFA score was 10 (interquartile range, 8-12). The primary outcomes were similar between the two groups (triple therapy, 28.3% vs. control, 35.8%; P = 0.41). Vasopressor duration among the survivors was similar between the two groups (triple therapy, 50 h vs. control, 58 h; P = 0.44). Other secondary and safety endpoints were similar between the two groups. Conclusion: Triple therapy did not improve in-hospital mortality at 60 days in critically ill patients with septic shock or reduce the vasopressor duration or SOFA score at 72 h. Trial Registration:ClinicalTrials.gov identifier: NCT03380507. Registered on December 21, 2017.

A critical assessment of SARS-CoV-2 in aqueous environment: Existence, detection, survival, wastewater-based surveillance, inactivation methods, and effective management of COVID-19.

In early January 2020, the causal agent of unspecified pneumonia cases detected in China and elsewhere was identified as a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and was the major cause of the COVID-19 outbreak. Later, the World Health Organization (WHO) proclaimed the COVID-19 pandemic a worldwide public health emergency on January 30, 2020. Since then, many studies have been published on this topic. In the present study, bibliometric analysis has been performed to analyze the research hotspots of the coronavirus. Coronavirus transmission, detection methods, potential risks of infection, and effective management practices have been discussed in the present review. Identification and quantification of SARS-CoV-2 viral loads in various water matrices have been reviewed. It was observed that the viral shedding through urine and feces of COVID-19-infected patients might be a primary mode of SARS-CoV-2 transmission in water and wastewater. In this context, the present review highlights wastewater-based epidemiology (WBE)/sewage surveillance, which can be utilized as an effective tool for tracking the transmission of COVID-19. This review also emphasizes the role of different disinfection techniques, such as chlorination, ultraviolet irradiation, and ozonation, for the inactivation of coronavirus. In addition, the application of computational modeling methods has been discussed for the effective management of COVID-19.

The coefficients of inbreeding revealed by ROH study among inbred individuals belonging to each type of the first cousin marriage: A preliminary report from North India.

BACKGROUND: Genome-wide runs of homozygosity (ROH) are appropriate to estimate genomic inbreeding, determine population history, unravel the genetic architecture of complex traits and disorders. OBJECTIVE: The study sought to investigate and compare the actual proportion of homozygosity or autozygosity in the genomes of progeny of four subtypes of first cousin mating in humans, using both pedigree and genomic measures for autosomes and sex chromosomes. METHODS: For this purpose, Illumina Global Screening Array-24 v1.0 BeadChip followed by cyto-ROH analysis through Illumina Genome Studio was used to characterise the homozygosity in five participants from North Indian state (Uttar Pradesh). PLINK v.1.9 software was used to estimate the genomic inbreeding coefficients viz. ROH-based inbreeding estimate (FROH) and homozygous loci-based inbreeding estimate (FHOM). RESULTS: A total of 133 ROH segments were detected with maximum number and genomic coverage in Matrilateral Parallel (MP) type and minimum in outbred individual. ROH pattern revealed that MP type has a higher degree of homozygosity than other subtypes. The comparison of FROH, FHOM, and pedigree-based inbreeding estimate (FPED) showed some difference in theoretical and realised proportion of homozygosity for sex-chromosomal loci but not for autosome for each type of consanguinity. CONCLUSIONS: This is the very first study to compare and estimate the pattern of homozygosity among the kindreds of first cousin unions. However, a greater number of individuals from each type of marriage is required for statistical inference of no difference between theoretical and realized homozygosity among different degrees of inbreeding prevalent in humans worldwide.

Direct sequencing of ß-globin gene reveals a rare combination of two exonic and two intronic variants in a ß-thalassemia major patient: a case report.

BACKGROUND: Due to indels in the ß-globin gene, patients with ß-thalassemia major exhibit a range of severity, with genotype ß0ß0 > ß0ß+ > ß+ß+, according to the production level of the ß-globin chain. More than 300 mutations have been identified in the ß-globin gene. CASE PRESENTATION: In this case study, we report a compound heterozygous condition with a rare concoction of four different variants (CD 3(T > C), CD41/42 (-CTTT), IVS II-16 (G > C), and IVS II-666 (C > T) in a single ß-globin gene. A regular transfusion-dependent 4-year-old male patient from India was included in the study. Augmented direct sequencing of the ß-globin gene helped reveal the presence of an unusual combination of different variants in a single gene. This patient clinically presented as ß-thalassemia major and was genotypically considered as ß0ß+, although CD41/42(-CTTT) was the only causative/pathogenic mutation in the disease severity. CONCLUSION: Although CD41/42-(CTTT) is the only pathogenic variant among the four variants, the clinical complications of such a combination of variants (pathogenic and benign) is not well understood. Intronic mutations may have the ability to modify clinical characteristics. The variants must therefore be reclassified using additional mRNA splicing and expression-based studies. Additionally, these types of combinations may have significance in studying population migration around the world.

Oxysterols in catfish skin secretions (Arius bilineatus, Val.) exhibit anti-cancer properties.

The edible catfish Arius bilineatus, (Valenciennes) elaborates a proteinaceous gel-like material through its epidermis when threatened or injured. Our on-going studies on this gel have shown it to be a complex mixture of several biologically active molecules. Anti-cancer studies on lipid fractions isolated from the gel-like materials showed them to be active against several cancer cell lines. This prompted us to investigate further the lipid composition of the catfish epidermal gel secretions (EGS). Analysis of the lipid fraction of EGS resulted in identification of 12 oxysterols including cholesterol and 2 deoxygenated steroids i.e., 7α-hydroxy cholesterol, 7ß-hydroxycholesterol, 5,6 epoxycholesterol, 3ß-hydroxycholest-5-ene-7-one and cholesta-3,5-dien-7-one. Progesterone, cholest-3,5-diene, cholesta-2,4-diene, cholest-3,5,6-triol and 4-cholesten-3-one were found as minor components, and were identified through their MS, 1HNMR and FTIR spectral data and were compared with those of the standards. Cholest-3,6-dione, cholesta-4,6-diene-3-one, cholesta-2,4-diene, and cholesta-5,20(22)-dien-3-ol were found only in trace amounts and were identified by GC/MS/MS spectral data. Since cholesterol is the major component of EGS, the identified oxysterols (OS) are presumably cholesterol oxidation products. Many of the identified OS are known important biological molecules that play vital physiological role in the producer and recipient organisms. We report herein the effects of these sterols on three human cancer cell lines in vitro, i.e., K-562 (CML cell line), MDA MB-231 (estrogen positive breast cancer cell line) and MCF-7 (estrogen negative breast cancer cell line). Interestingly significant (p < 0.05) dose differences were observed between tested OS on cell types used. The presence of these sterols in EGS may help explain some aspects of the physiological activities of fraction B (FB) prepared from EGS, such as enhanced wound and diabetic ulcer healing, anti-inflammatory action and cytotoxic activities reported in our previous studies. The anti-proliferative actions of some of these oxysterols especially the cholesterol 3,5,6-triol (#5) as established on selected cancer cell lines in this study support our previous studies and make them candidates for research for human application.

Beneficial effects of apigenin on the transgenic Drosophila model of Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. The available drugs improve the symptoms but do not play role in modifying disease effects. Currently, the treatment strategies focus on inhibiting the production of Aß-42 aggregates and tau filaments. In this context the natural plant products could act as a potent candidate. Therefore, we decided to study the effect of apigenin on the transgenic Drosophila model of AD i.e., expressing Aß-42 in the neurons. The AD flies were allowed to feed on the diet having 25, 50, 75 and 100 µM of apigenin for 30 days. The exposure of AD flies to apigenin showed a dose dependent significant decrease in the oxidative stress and delay in the loss of climbing ability. Apigenin also inhibits the activity of acetylcholinesterase. The immunostaining and molecular docking studies suggest that apigenin inhibits the formation of Aß-42 aggregates. Apigenin is potent in reducing the AD symptoms being mimicked in the transgenic Drosophila model of AD.

Development of a transient inline spiking system for evaluating virus clearance in continuous bioprocessing-Proof of concept for virus filtration.

The development of continuous/connected bioprocesses requires new approaches for viral clearance validation, both for specific unit operations and for the overall process. In this study, we have developed a transient inline spiking system that can be used to evaluate virus clearance at distinct time points during prolonged operation of continuous bioprocesses. The proof of concept for this system was demonstrated by evaluating the viral clearance for a virus filtration step, both with and without a prefilter upstream of the virus filter. The residence time distribution was evaluated using a previously identified noninteracting fluorescent tracer, while viral clearance was evaluated from measurements of the virus titer in samples obtained downstream of the virus filter. The measured log reduction values (LRV) for ϕX174, minute virus of mice, xenotropic murine leukemia virus, and a noninfectious mock virus particle were all within 0.5 log of those obtained using a traditional batch virus challenge for both model and real-world process streams (LRV between 2.2 and 3.4 for ϕX174 using a single layer of virus filter). The results demonstrate the effectiveness of transient inline spiking to validate the virus clearance capabilities in continuous bioprocessing, an essential element for the adoption of these processes for products made using mammalian cell lines.

Beta-thalassemia and the advent of new interventions beyond transfusion and iron chelation.

Beta-thalassaemia, including sickle cell anaemia and thalassaemia E, is most common in developing countries in tropical and subtropic regions. Because carriers have migrated there owing to demographic migration, ß-thalassaemia can now be detected in areas other than malaria-endemic areas. Every year, an estimated 300 000-500 000 infants, the vast majority of whom are from developing countries, are born with a severe haemoglobin anomaly. Currently, some basic techniques, which include iron chelation therapy, hydroxyurea, blood transfusion, splenectomy and haematopoietic stem cell transplantation, are being used to manage thalassaemia patients. Despite being the backbone of treatment, traditional techniques have several drawbacks and limitations. Ineffective erythropoiesis, correction of globin chain imbalance and adjustment of iron metabolism are some of the innovative treatment methods that have been developed in the care of thalassaemia patients in recent years. Moreover, regulating the expression of B-cell lymphoma/leukaemia 11A and sex-determining region Y-box through the enhanced expression of micro RNAs can also be considered putative targets for managing haemoglobinopathies. This review focuses on the biological basis of ß-globin gene production, the pathophysiology of ß-thalassaemia and the treatment options that have recently been introduced.

Effect of filtrate flux and process disruptions on virus retention by a relatively homogeneous virus removal membrane.

Recent studies have shown that virus retention by specific virus filters can be reduced at low flow rates and after process disruptions; however, the magnitude of these changes in virus retention and the underlying mechanisms controlling this behavior are still not well understood. The objective of this study was to develop a quantitative understanding of the factors controlling the virus retention behavior of a relatively homogeneous polyvinylidene fluoride virus removal filter. Data were obtained with the bacteriophage ϕX174 as a model virus. Virus retention decreased as the filtrate flux was reduced and also declined slightly over the course of the virus filtration. Virus retention immediately after a process disruption decreased by as much as a factor of 1000 (3-logs) depending on the duration and timing of the disruption. The experimental results were well-described using an internal polarization model that accounts for accumulation and release of virus during the filtration / disruption, with the key model parameters dependent on the filtrate flux. These results provide important insights into the factors controlling the virus retention behavior as well as guidelines for the effective use of virus removal filters in bioprocessing.