Role of ribosomal pathways and comorbidity in COVID-19: Insight from SARS-CoV-2 proteins and host proteins interaction network analysis

The COVID-19 pandemic has become a significant global issue in terms of public health. While it is largely associated with respiratory complications, recent reports indicate that patients also experience neurological symptoms and other health issues. The objective of this study is to examine the network of protein-protein interactions (PPI) between SARS-CoV-2 proteins and human host proteins, pinpoint the central genes within this network implicated in disease pathology, and assess their viability as targets for drug development. The study adopts a network-based approach to construct a network of 29 SARS-CoV-2 proteins interacting with 2896 host proteins, with 176 host genes being identified as interacting genes with all the viral proteins. Gene ontology and pathway analysis of these host proteins revealed their role in biological processes such as translation, mRNA splicing, and ribosomal pathways. We further identified EEF2, RPS3, RPL9, RPS16, and RPL11 as the top 5 most connected hub genes in the disease-causing network, with significant interactions among each other. These hub genes were found to be involved in ribosomal pathways and cytoplasmic translation. Further a disease-gene interaction was also prepared to investigate the role of hub genes in other disorders and to understand the condition of comorbidity in COVID-19 patients. We also identified 13 drug molecules having interactions with all the hub genes, and estradiol emerged as the top potential drug target for the COVID-19 patients. Our study provides valuable insights using the protein-protein interaction network of SARS-CoV-2 proteins with host proteins and highlights the molecular basis of manifestation of COVID-19 and proposes drug for repurposing. As the pandemic continues to evolve, it is anticipated that investigating SARS-CoV-2 proteins will remain a critical area of focus for researchers globally, particularly in addressing potential challenges posed by specific SARS-CoV-2 variants in the future.

Studying biodiversity of spiders species in seven different localities of Charsadda District, Khyber Pakhtunkhwa, Pakistan

Abstract The current research work aims to provide knowledge about the diversity of spiders’ fauna and their occurrence throughout the year from District Charsadda Khyber Pakhtunkhwa, Pakistan. Research data were collected from March-2015 to January-2017 from seven different localities of Charsadda District by using the camera, bottle, plastic bags, paraffin films, field book and 70% of ethylene alcohol and 20% of glycerine were used as chemicals. By using special identification keys, spiders were differentiated into families, genera and species. During the study time, a total of 2734 specimens of spiders were collected belonging from 35 genera, 15 families and 44 species were identified. Salticidae was the dominant family according to genera studied plus spiders samples numbers collected with 10 genera and 616 species specimens count. The high occurrence of spiders was studied during July. The result of the current study also shows a reduction of spider’s species in December due to lowering the temperature. The current study shows that Salticidae were the dominant family as capered to other species. The occurrence of spiders species greatly depends on changing the weather condition. The present study also shows great fluctuation in spider’s occurrence with changing of hot climate to colder during the study duration. Moreover, the wet season plays a great role in spiders’ population increase and growth.

Development of Population-Based Pediatric Computational Phantoms for Radiotherapy Applications

PURPOSE/OBJECTIVE(S)

Age-specific pediatric computational phantoms are used in radiotherapy (RT) for quality assurance and for reconstruction of historical RT doses (within others). Phantoms are typically developed from healthy patients and may not effectively represent those with cancer due to pathology and/or treatment effects. This study evaluated a set of population-based pediatric computational phantoms developed in-house in terms of anatomical plausibility.

MATERIALS/METHODS

Planning CTs and contours from historical craniospinal irradiation (CSI) patients (n = 74, median age 7y, range: 1-17y) were used to generate and evaluate a set of in-house age-specific population-based RT phantoms (RT-P). The RT-P were generated by combining a sub-set of clinical CTs and contours through groupwise deformable image registration, generating average models of CSI sub-populations (n = 74, median age 7y, range: 3-14y). Models were then compared against clinical data and two libraries of phantoms representing healthy populations: the International Commission on Radiological Protection (ICRP) pediatric reference computational phantoms (n = 8, median age 8y, range: 1-15y) and a variety of default 4D extended cardiac torso (XCAT) phantoms (n = 75, median age 9y, range: 1-18y). Variation between organ volumes for the different datasets was assessed through a linear fit of organ volume with age, reporting the slope (∑) of each fit [y-1]. Average difference between the volume datapoints and the linear fit for clinical data (Δ) [%] were also reported. This allowed for comparisons of the RT-P to clinical and reference data in terms of organ volumes across developmental stages.

RESULTS

The table shows 9 of the 19 investigated organs. The ∑ reported for RT-P models were of similar magnitude as the clinical data and other phantoms, effectively modelling changes with age. The greatest and least ∑ were reported from lungs and thyroid respectively, in agreement with expected relative sizes between organs. Larger values for Δ were likely due to differences in organ filling and segmentation strategy between datasets, limitations of RT-P methodology, and/or anatomical differences between healthy and cancer populations.

CONCLUSION

The RT-P models show promise in representing the RT cohort that may benefit from specialized anatomical phantoms. Further work is needed to address the limitations of the current methodology and its applicability to other RT cohorts.

Effect of foliar application of bio-stimulants on growth, yield and nutritional quality of broccoli

Broccoli is one of important cole crop grown all over the world due to its unique nutritional profile consumed fresh as well as processed. It contains a wide range of nutrients, vitamins, minerals and specific anti-cancer compounds such as glucosinolates. Broccoli cultivation in Pakistan is increasing rapidly, however, till now there is no standardized cropping technology for broccoli cultivation under local climate. Considering research gap (lack of suitable varieties, poor growth, and unavailability of optimized crop technology), trial was conducted at Vegetable research area, Institute of Horticultural Sciences, University of Agriculture, Faisalabad to evaluate the impact of bio-stimulants on different broccoli cultivars under local climatic conditions. The set of experimental treatments was laid out in Randomized Complete Block Design (RCBD) with three replications. Pre-harvest application of Isabion and Seaweed extract significantly enhanced the plant height (11%), dry weight (4%), leaf area (7%), and yield plant-1 (5%). Moreover, Isabion and seaweed extract application led to the increase in antioxidant enzymes i.e., superoxide dismutase (18%), peroxidase (38%) and catalase (12%). In crux, the foliar application of bio-stimulants (Isabion and seaweed extract) on broccoli enhanced the growth, yield, and contents of antioxidant enzymes.

Potential therapeutic effect of Carica papaya leaves extract on immune response, biochemical and hematological mechanisms on cecal ligation and puncture model of sepsis in rats: an in vivo study

Antibiotics and immunotherapies possess unavoidable adverse effects that hinder sepsis management. Herbal drugs have demonstrated potential immunomodulatory properties vital for sepsis treatment. We hypothesized in the present study that the use of Carica papaya leaves extract had the potential to improve survival and modulate immune cytokine release during sepsis. Animals were subjected to cecal ligation and puncture (CLP) to induce sepsis. Septic rats divided into 10 groups received ethanol extract of C. papaya leaves (50 and 100 mg/kg), imipenem (120 mg/kg) and cyclophosphamide (CP, 10 mg/kg). To investigate the immunomodulatory potentials of EE, cytokine levels like interleukin (IL-6), tumor necrosis factor (TNF-α), and IL-10 along with hematological and biochemical parameters were analyzed. Our results exhibited improved survival rates concerning ethanol extract treatment alone and in combination with imipenem and CP (100%) as compared to the CLP group (33.3%) on day 7 post-surgery. The combination treatment of ethanol extract with imipenem and CP significantly (P < 0.001) ameliorated cytokine levels and hematological and biochemical parameters in septic rats. A histopathological examination suggested improved liver and kidney tissue condition after combination treatment as compared to the CLP group. Therefore, it was concluded that combination therapy of extract with imipenem and CP improved survival rates and marked immunomodulatory potential in septic rats compared to monotherapy. The findings suggested the use of a mixture of these drugs in clinical settings to treat sepsis.

Developing day-case units: imperative for optimal patient care in interventional radiology

As interventional radiology (IR) treatments have evolved, they have become less invasive, enabling rapid recovery, which expedites ambulation and promotes same-day discharge. As a result of this, a significant proportion of IR elective work can be provided using a day-case service model. Reconfiguration of IR services to increase day-case procedures using a dedicated IR day-case unit (RDU) to facilitate the passage of patients is vital to ensure best medical practice. The aim of this review is to discuss the benefits of day-case IR procedures, the optimal structure of an RDU, and to inform radiologists how to introduce and/or improve day-case IR services in their IR practice.

Access to beds for interventional radiology patients: improving patient care

This review describes the rationale in support of admitting rights for interventional radiologists and presents options for the management of interventional radiology (IR) inpatients. The manuscript also discusses wider aspects of IR involvement in inpatient treatment, such as income and funding for IR services, and the implications for IR as a clinical specialty.

Molecular Docking of Bacterial Protein Modulators and Pharmacotherapeutics of Carica papaya Leaves as a Promising Therapy for Sepsis: Synchronising In Silico and In Vitro Studies

Sepsis is a serious health concern globally, which necessitates understanding the root cause of infection for the prevention of proliferation inside the host's body. Phytochemicals present in plants exhibit antibacterial and anti-proliferative properties stipulated for sepsis treatment. The aim of the study was to determine the potential role of Carica papaya leaf extract for sepsis treatment in silico and in vitro. We selected two phytochemical compounds, carpaine and quercetin, and docked them with bacterial proteins, heat shock protein (PDB ID: 4PO2), surfactant protein D (PDB ID: 1PW9), and lactobacillus bacterial protein (PDB ID: 4MKS) against imipenem and cyclophosphamide. Quercetin showed the strongest interaction with 1PW9 and 4MKS proteins. The leaves were extracted using ethanol, methanol, and water through Soxhlet extraction. Total flavonoid content, DPPH assay, HPTLC, and FTIR were performed. In vitro cytotoxicity of ethanol extract was screened via MTT assay on the J774 cell line. Ethanol extract (EE) possessed the maximum number of phytocomponents, the highest amount of flavonoid content, and the maximum antioxidant activity compared to other extracts. FTIR analysis confirmed the presence of N-H, O-H, C-H, C=O, C=C, and C-Cl functional groups in ethanol extract. Cell viability was highest (100%) at 25 µg/mL of EE. The present study demonstrated that the papaya leaves possessed antibacterial and cytotoxic activity against sepsis infection.

In-silico approaches for identification of compounds inhibiting SARS-CoV-2 3CL protease

The world has witnessed of many pandemic waves of SARS-CoV-2. However, the incidence of SARS-CoV-2 infection has now declined but the novel variant and responsible cases has been observed globally. Most of the world population has received the vaccinations, but the immune response against COVID-19 is not long-lasting, which may cause new outbreaks. A highly efficient pharmaceutical molecule is desperately needed in these circumstances. In the present study, a potent natural compound that could inhibit the 3CL protease protein of SARS-CoV-2 was found with computationally intensive search. This research approach is based on physics-based principles and a machine-learning approach. Deep learning design was applied to the library of natural compounds to rank the potential candidates. This procedure screened 32,484 compounds, and the top five hits based on estimated pIC50 were selected for molecular docking and modeling. This work identified two hit compounds, CMP4 and CMP2, which exhibited strong interaction with the 3CL protease using molecular docking and simulation. These two compounds demonstrated potential interaction with the catalytic residues His41 and Cys154 of the 3CL protease. Their calculated binding free energies to MMGBSA were compared to those of the native 3CL protease inhibitor. Using steered molecular dynamics, the dissociation strength of these complexes was sequentially determined. In conclusion, CMP4 demonstrated strong comparative performance with native inhibitors and was identified as a promising hit candidate. This compound can be applied in-vitro experiment for the validation of its inhibitory activity. Additionally, these methods can be used to identify new binding sites on the enzyme and to design new compounds that target these sites.

Preparedness for the Dengue Epidemic: Vaccine as a Viable Approach

Dengue fever is one of the significant fatal mosquito-borne viral diseases and is considered to be a worldwide problem. Aedes mosquito is responsible for transmitting various serotypes of dengue viruses to humans. Dengue incidence has developed prominently throughout the world in the last ten years. The exact number of dengue cases is underestimated, whereas plenty of cases are misdiagnosed as alternative febrile sicknesses. There is an estimation that about 390 million dengue cases occur annually. Dengue fever encompasses a wide range of clinical presentations, usually with undefinable clinical progression and outcome. The diagnosis of dengue depends on serology tests, molecular diagnostic methods, and antigen detection tests. The therapeutic approach relies completely on supplemental drugs, which is far from the real approach. Vaccines for dengue disease are in various stages of development. The commercial formulation Dengvaxia (CYD-TDV) is accessible and developed by Sanofi Pasteur. The vaccine candidate Dengvaxia was inefficient in liberating a stabilized immune reaction toward different serotypes (1-4) of dengue fever. Numerous promising vaccine candidates are now being developed in preclinical and clinical stages even though different serotypes of DENV exist that worsen the situation for a vaccine to be equally effective for all serotypes. Thus, the development of an efficient dengue fever vaccine candidate requires time. Effective dengue fever management can be a multidisciplinary challenge, involving international cooperation from diverse perspectives and expertise to resolve this global concern.

Head-neck dissection course during COVID-19 pandemic: challenges, adaptations and how we did it

INTRODUCTION

Cadaveric dissection courses have come to a standstill since the onset of the COVID-19 pandemic. In addition to limited operative opportunities, cancellation of such courses has severely impacted surgical training, especially in a craft-based specialty such as head-neck surgery. The aim of this educational project was to: (1) study the feasibility of an in-person head-neck cadaveric dissection course during COVID-19 pandemic; and (2) validate the educational benefit of this teaching method to ear, nose and throat (ENT) trainees.

METHODS

We developed a 2-day head-neck cadaveric dissection course for ENT trainees. The course programme covered essential head-neck open surgical procedures. Content validity (subjective feedback) was assessed using a 5-point Likert scale. Construct validity (objective usefulness) was evaluated via two pre- and post-course questionnaires, estimating knowledge of head-neck surgical anatomy and self-assessment of levels of confidence with head-neck procedures, respectively.

RESULTS

A risk assessment was conducted and a protocol developed (risk was deemed to be low/tolerable). Content validity showed high satisfaction compared with a median Likert score of 3, 'average' (p=0.000002). For construct validity, the mean score per question improved significantly (p=0.001). Overall levels of confidence showed a trend towards improvement (p=0.08). There was significant improvement in laryngectomy (p=0.01) and level I dissection (p=0.01), with an indication of improvement in level II-V dissection (p=0.07).

CONCLUSIONS

We demonstrated that a cadaveric dissection course, using thorough risk assessment and protocol, could be safely conducted with high content and construct validation during these unprecedented times. This is an invaluable learning environment that needs to be encouraged despite infection control restrictions.

Use of gold nanoparticle-silibinin conjugates: A novel approach against lung cancer cells

Lung cancer presents one of the most challenging carcinomas with meager 5-year survival rates (less than 20%), high metastasis and high recurrence due to chemo- and radio- resistance. An alternative or complementation to existing prognosis modalities is the use of phytochemicals such as silibinin, which targets essential cytokines, angiogenic factors and transcription factors for a profound anti-tumor effect. However, the problems of low solubility in an aqueous physiological environment, poor penetration, high metabolism and rapid systemic clearance limit the therapeutic use of silibinin. Conjugation of gold nanoparticles (GNPs) with silibinin may overcome the above challenges along with distinct advantages of biocompatibility, optical properties for monitoring and causation of cytotoxicity in cancer cells. The current study thus aims to develop silibinin conjugated gold nanoparticles (Sb-GNPs) with pH responsive release in the cancer microenvironment, optimizing several parameters for its higher activity and further evaluate the nanoplatform for their efficacy in inducing cell death in vitro against A549 lung cancer cells. GNPs was synthesized using trisodium citrate dihydrate as the reducing agent and further used for the conjugation of silibinin. The synthesized GNPs were found to be monodispersed and spherical in shape. The silibinin was successfully conjugated with gold nanoparticles and long-term stability of GNPs and Sb-GNPs nanoconjugates in suspension phase was confirmed by FTIR and DLS. Anticancer properties of Sb-GNPs were confirmed by different assay using MTT, Trypan blue dye exclusion assay and cell cycle analysis assay. After conjugation of silibinin with GNPs, the efficacy of silibinin increased 4-5 times in killing the cancer cells. This is the first report on using silibinin gold nanoconjugate system for lung cancer therapy with promising future applications.

Spatiotemporal variational neural network for reconstruction of highly accelerated cardiac cine MRI

Funding Acknowledgements

Type of funding sources: Private company. Main funding source(s): Siemens Healthcare GmbH; NIH Grant.

Background

Acquisition of cardiac cine MRI usually requires the subject to repeatedly hold their breath for several seconds. Deep learning-based reconstruction of highly undersampled data could allow higher accelerations and has been proposed for several applications. The variational network [1] (VN) was one of the first network architectures for MRI reconstruction, replicating iterative reconstruction with a regularization term learnt from training data.

Purpose

To expand the concept of VNs to spatiotemporal data from cardiac cine acquisitions. Reconstructions are presented and compared using 3D, 2D spatial-only, and 2D+t spatiotemporal convolutions.

Methods

A VN with intermediate quantities in k-space [2] was trained to reconstruct cine sequences from retrospectively undersampled data. The network architecture is illustrated in Fig. 1. It consisted of 10 cascades, each resembling a gradient descent step of an iterative reconstruction. Each refinement step contained a Residual U-Net (cf. Fig. 1d). Pre-estimated coil sensitivity maps were used in all transformations between k-space and image space.

The convolution operations were implemented as either 2D spatial-only, 3D, or separable 2D+t spatiotemporal convolutions. A 2D+t convolution consisted of a 2D spatial convolution followed by an activation function and a 1D temporal convolution (cf. Fig. 1e).

The OCMR dataset [3] was used for training and evaluation. It contains 183 fully sampled cine slices from 74 subjects in different imaging planes with 15 to 38 coils and 15 to 31 temporal frames at 1.5T and 3T. The training set contained 142 slices from 33 individuals, which includes all multi-slice acquisitions from the dataset. The validation set consisted of 22 single slices and the network performance was evaluated on the remaining, previously unseen 19 single-slice acquisitions.

The k-space data was retrospectively undersampled using a variable density mask [4]. Sensitivity-based coil combination of the fully sampled k-space was used as ground truth. Coil sensitivity maps were estimated with ESPIRiT. Six networks were trained using the different convolution types mentioned above, each for acceleration factors R=8 and R=12.

Results

Exemplary reconstructions and quantitative results are given in Fig. 2. At R=8, reconstruction with 2D+t and 3D convolutions reached high structural similarity (SSIM) scores of around 0.95, while the 2D convolutions only reached 0.74. Artifacts are clearly visible in reconstructions learnt with 2D kernels. At R=12, reconstruction quality degraded most considerably with 2D convolution kernels.

Conclusion

Reconstruction of highly accelerated cardiac cine data using VNs yielded very good preliminary results. Convolutions that exploit temporal correlations are clearly beneficial over spatial-only convolutions. 2D+t spatiotemporal convolutions may be preferable over 3D convolutions due to reduced model capacity with similar reconstruction capability. Network design with 2D+t convolutionExample reconstruction and time profiles

A new classification system of trifid mandibular canal derived from Malaysian population

BACKGROUND

The purpose of this study was to identify and classify the anatomic variation of mandibular canal among Malaysians of 3 ethnicities.

MATERIALS AND METHODS

The courses of the mandibular canal in 202 CBCT scanned images of healthy Malaysians were evaluated, and trifid mandibular canal (TMC) when present, were recorded and studied in detail by categorizing them to a new classification (comprising of 12 types). The diameter and length of canals were also measured, and their shape determined.

RESULTS

TMC were observed in 12 (5.9%) subjects or 16 (4.0%) hemi-mandibles. There were 10 obvious categories out the 12 types of TMCs listed. All TMCs (except one) were observed in older than 30 years. The prevalence according to ethnicity is 6 in Malays, 5 in Chinese and 1 in Indian. Four (33.3%) patients had bilateral TMCs, which was not seen in any Indian subject. More than half (56.3%) of the accessory canals were located above the main MC. Their mean diameter was 1.32mm and 1.26mm for the first and second accessory canal, and the corresponding lengths were 20.42mm and 21.60mm, respectively. Most canals (62.5%) had irregularly shaped lumen; there were more irregularly shaped canals in the second accessory canal than the first branch. None of the second accessory canal was oval (in shape).

CONCLUSIONS

This new classification can be applied for the variations in the branching pattern, length and shape of TMCs for better clinical description.

135 VITAMIN D FORTIFIED MILK—EFFECT ON VITAMIN D STATUS IN OLDER ADULTS

Background

Vitamin D fortified milk is used by some older adults to boost vitamin D status. Combined vitamin D/calcium supplements often cause gastrointestinal upset which reduces adherence. Consumption of fortified milk may be a more consistent and reliable way of increasing serum 25 hydroxyvitamin D [25(OH)D], though studies of it’s efficacy in older adults are limited.

Methods

We examined the vitamin D status of users of vitamin D fortified milk in participants of a longitudinal study of community dwelling Irish adults aged &gt;60 yrs. Patients taking vitamin D supplements were excluded and independent effects were explored in multinomial regression models. Vitamin D deficiency was defined as a 25(OH)D level &lt; 30 nmol/l.

Results

2496 participants were identified: mean age was 70.5 ± 7.0 years (range 60–96 yrs) and 145 (5.8%) reported using vitamin D fortified milk. In those who consumed fortified milk, there was a lower prevalence of vitamin D deficiency (17.9 vs 34.5%, P &lt; 0.001). Vitamin D fortified milk also predicted less deficiency after adjusting for age, gender, season, BMI and physical frailty (OR 0.30. CI 0.19–0.48, P &lt; 0.001).

Conclusion

Vitamin D fortified milk was associated with a 70% reduction in the risk of vitamin D deficiency in older adults not taking vitamin D supplements. Findings support the use of vitamin D fortified milk as an effective means of improving vitamin D status. Fortified milk also contains additional calcium and so can be used to augment daily calcium intake.

130 PREDICTORS OF DRIVING STATUS IN OLDER IRISH ADULTS ATTENDING A GERIATRIC OUTPATIENT SERVICE

Background

The main mode of transportation in Ireland remains travel by car. Transport mobility is important for older adults in accessing shops, healthcare, services, community and in maintaining relationships. Cessation of driving is associated with negative effects on mental health, loneliness and physical health. We aimed to explore factors associated with driving status in older adults living in an urban environment.

Methods

Study included adults aged greater than 65 years attending a geriatric outpatient service in an urban environment and recruited as part of the TUDA (Trinity Ulster, Department of Agriculture) study. We excluded those with a MMSE (Mini-Mental State Exam) less than 24 as we aimed to include only non-dementia patients. Physical frailty was measured with the Timed Up and Go (TUG) and depression with the Center for Epidemiological Studies Depression scale (CES-D). Factors associated with driving status were explored in multinomial regression models.

Results

1978 adults, mean age 77.7 ± 7.1 years, 76.0% were female. 35.5% were current drivers but this differed by age category 45.9% (65–75 years), 25% (75–85 years) and 12.5% (85+ years). 28.1% were past drivers. Positive independent predictors of current driving were younger age (P &lt; 0.001), male gender (P &lt; 0.001), married status (P = 0.01), higher socioeconomic status (P &lt; 0.0001) while negative predictors included physical frailty (TUG, P &lt; 0.001), visual impairment (P = 0.01), stroke (P &lt; 0.001), depression (P &lt; 0.001) and self reported loneliness (P = 0.01).

Conclusion

One third of patients attending a geriatric outpatients in an urban environment were currently driving which is much lower than in the general older Irish population. However, our study included frail adults living in more deprived socioeconomic areas and had a high proportion of females who had never learned to drive. Furthermore, access to urban public transport may be a factor. Non-drivers were more likely to have depression and report loneliness independent of other factors highlighting its negative impact.

Potential role of herbal medicines as a novel approach in sepsis treatment

The growing number of deaths related to sepsis has become a major concern for past few years. Sepsis is a complex pathological reactions that is explained by series of host response to microbial insult. The resulted systemic reactions are manifested by early appearance of proinflammatory cytokines leading to hyperinflammatory phase which is followed by septic shock and death of the patient. The present study has revealed that antibiotics are not self-sufficient to control the complex mechanism of sepsis. Moreover prolonged and unnecessary administration of antibiotics may lead to antibiotic resistance to pathogens. In addition to this, immunosuppressive medications are selective and have targeted approach to certain study population. Drugs from herbal origin have shown to possess a mammoth of immunomodulatory potential by suppressing proinflammatory and anti-inflammatory cytokines exhibiting no or minimal unwanted secondary responses. Concomitantly, herbal plants tend to modulate oxidative stress level and haematological imbalance during inflammatory diseased conditions. Natural compounds have gained much attention for the treatment of several clinical complications. Considering the promising responses of medicinal plants with less/no side effects and easy procurement, comprehensive research on herbal plants to treat sepsis should be contemplated.

Uncovering the Role of Trioctylphosphine on Colloidal and Emission Stability of Sb-Alloyed Cs2NaInCl6 Double Perovskite Nanocrystals

Doping and compositional tuning of Cs₂AInCl₆ (A = Ag, Na) double perovskite nanocrystals (PNCs) is considered a promising strategy toward the development of light-emitting sources for applications in solution-processed optoelectronic devices. Oleic acid and oleylamine are by far the most often used surface capping ligands for PNCs. However, the undesirable desorption of these ligands due to proton-exchange reaction during isolation and purification processing results in colloidal and structural instabilities. Thus, the improvement of colloidal and optical stability of PNCs represents one of the greatest challenges in the field. Here, we report a trioctylphosphine-mediated synthesis and purification method toward Sb-alloyed Cs₂NaInCl₆ PNCs with excellent stability and optical features. Nuclear magnetic resonance spectroscopy enabled one to explain the role of trioctylphosphine and to reveal the reaction mechanism during crystal nucleation and growth. Under the optimized reaction conditions, in situ-generated trioctylphosphonium chloride and benzoyl trioctylphosphonium chloride serve as highly reactive halide sources, while benzoyl trioctylphosphonium and oleylammonium cations together with the oleate anion serve as surface capping ligands, which are bound strongly to the PNC surface. The tightly bound ionic pair of oleylammonium oleate and benzoyl trioctylphosphonium chloride/oleate ligands allows one to obtain monodispersed bright-blue-emitting PNCs with high photoluminescence quantum yields exceeding 50% at an optimum Sb content (0.5%), which also exhibit long-term colloidal stability. The approach based on dual cationic ligand passivation of double PNCs opens the doors for applications in other systems with a potential to achieve higher stability along with superior optical properties.

COVID-19 Pandemic and Vaccines Update on Challenges and Resolutions

The coronavirus disease (COVID-19) is caused by a positive-stranded RNA virus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), belonging to the Coronaviridae family. This virus originated in Wuhan City, China, and became the cause of a multiwave pandemic that has killed 3.46 million people worldwide as of May 22, 2021. The havoc intensified with the emergence of SARS-CoV-2 variants (B.1.1.7; Alpha, B.1.351; Beta, P.1; Gamma, B.1.617; Delta, B.1.617.2; Delta-plus, B.1.525; Eta, and B.1.429; Epsilon etc.) due to mutations generated during replication. More variants may emerge to cause additional pandemic waves. The most promising approach for combating viruses and their emerging variants lies in prophylactic vaccines. Several vaccine candidates are being developed using various platforms, including nucleic acids, live attenuated virus, inactivated virus, viral vectors, and protein-based subunit vaccines. In this unprecedented time, 12 vaccines against SARS-CoV-2 have been phased in following WHO approval, 184 are in the preclinical stage, and 100 are in the clinical development process. Many of them are directed to elicit neutralizing antibodies against the viral spike protein (S) to inhibit viral entry through the ACE-2 receptor of host cells. Inactivated vaccines, to the contrary, provide a wide range of viral antigens for immune activation. Being an intracellular pathogen, the cytotoxic CD8+ T Cell (CTL) response remains crucial for all viruses, including SARS-CoV-2, and needs to be explored in detail. In this review, we try to describe and compare approved vaccines against SARS-CoV-2 that are currently being distributed either after phase III clinical trials or for emergency use. We discuss immune responses induced by various candidate vaccine formulations; their benefits, potential limitations, and effectiveness against variants; future challenges, such as antibody-dependent enhancement (ADE); and vaccine safety issues and their possible resolutions. Most of the current vaccines developed against SARS-CoV-2 are showing either promising or compromised efficacy against new variants. Multiple antigen-based vaccines (multivariant vaccines) should be developed on different platforms to tackle future variants. Alternatively, recombinant BCG, containing SARS-CoV-2 multiple antigens, as a live attenuated vaccine should be explored for long-term protection. Irrespective of their efficacy, all vaccines are efficient in providing protection from disease severity. We must insist on vaccine compliance for all age groups and work on vaccine hesitancy globally to achieve herd immunity and, eventually, to curb this pandemic.

Rapid cardiovascular magnetic resonance protocol utilizing compressed sensing real-time imaging during the COVID-19 pandemic

Funding Acknowledgements

Type of funding sources: None.

Background

Coronavirus Disease 2019 (COVID-19) poses many workflow challenges for healthcare systems. Elective cardiovascular magnetic resonance (CMR) exams were postponed until safety protocols were instituted. Since reopening, imaging labs are managing COVID-19 safety triaging, exam backlog, and increased referrals, thus innovative solutions for process improvement are needed.

Purpose

An accelerated compressed sensing (CS) real-time (RT) technique offers dynamic cardiac imaging with high spatial and temporal resolution without image degradation. We sought to evaluate the efficiency of a rapid RT CMR protocol with a goal to decrease scan time without compromising study quality and comprehensiveness.

Methods

We retrospectively evaluated 219 CMRs (Siemens Magnetom Sola 1.5T) performed 09/01/2020 - 10/15/2020. After excluding 81 exams due to heterogeneous protocols (Figure 1), we analyzed 138 CMR exams using standard cardiomyopathy or myocarditis protocols. CMR studies utilized either a rapid RT short axis (SAX) cine (spatial resolution of 2.5 mm2 or better and temporal resolution of 55 ms or better) or standard breath-held (BH) SAX cine protocol (Figure 2).  Protocols were chosen by the interpreting physician. Previous internal quality control demonstrated similar volumetric quantification between RT and BH SAX cines. RT cines were reconstructed inline using a CS-based method.  We analyzed the length of time needed to complete each protocol and the number of series performed. Statistical analysis included student t-test with p value &lt;0.05 considered significant.

Results

Of 138 analyzed CMR exams, there were 23 rapid protocols and 115 standard protocols performed. The mean image acquisition time for the rapid protocol was significantly shorter at 26 ± 6 minutes (range 18-44 min) vs 33 ± 6 minutes (range 22-49 min) for the standard protocol, p &lt; 0.001. This represents a mean relative reduction in scan time of 21%. More time was saved in rapid myocarditis (scan time 25 ± 6 min vs 34 ± 6 min, p = 0.01; relative time reduction 26%) vs rapid cardiomyopathy protocols (scan time 27 ± 6 min vs 31 ± 6 min, p = 0.04; relative time reduction 13%). There was no significant difference in the number of series performed (62 ± 14 series in rapid vs 67 ± 11 series in standard protocols, p = 0.09).  T1 and T2 maps constituted the same percentage of acquired images regardless of protocol used (T1 maps 1.8% vs 1.7% for cardiomyopathy, 1.4% vs 1.4% for myocarditis in standard vs rapid protocols respectively; T2 maps 1.8% vs 1.7% for cardiomyopathy, 5.6% vs 5.8% for myocarditis in standard vs rapid protocols respectively).

Conclusions

A rapid CMR protocol utilizing a CS-based RT imaging is significantly shorter as compared to the standard protocol with adequate diagnostic quality. Rapid CMR protocols are an effective tool for process improvement during the COVID-19 pandemic.

COVID-19 and SARS-CoV-2 Variants: Current Challenges and Health Concern

The ongoing coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China, was triggered and unfolded quickly throughout the globe by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The new virus, transmitted primarily through inhalation or contact with infected droplets, seems very contagious and pathogenic, with an incubation period varying from 2 to 14 days. The epidemic is an ongoing public health problem that challenges the present global health system. A worldwide social and economic stress has been observed. The transitional source of origin and its transport to humans is unknown, but speedy human transportation has been accepted extensively. The typical clinical symptoms of COVID-19 are almost like colds. With case fatality rates varying from 2 to 3 percent, a small number of patients may experience serious health problems or even die. To date, there is a limited number of antiviral agents or vaccines for the treatment of COVID-19. The occurrence and pathogenicity of COVID-19 infection are outlined and comparatively analyzed, given the outbreak's urgency. The recent developments in diagnostics, treatment, and marketed vaccine are discussed to deal with this viral outbreak. Now the scientist is concerned about the appearance of several variants over the globe and the efficacy of the vaccine against these variants. There is a need for consistent monitoring of the virus epidemiology and surveillance of the ongoing variant and related disease severity.

Mechanistic Aspects of Microbe-Mediated Nanoparticle Synthesis

In recent times, nanoparticles (NPs) have found increasing interest owing to their size, large surface areas, distinctive structures, and unique properties, making them suitable for various industrial and biomedical applications. Biogenic synthesis of NPs using microbes is a recent trend and a greener approach than physical and chemical methods of synthesis, which demand higher costs, greater energy consumption, and complex reaction conditions and ensue hazardous environmental impact. Several microorganisms are known to trap metals in situ and convert them into elemental NPs forms. They are found to accumulate inside and outside of the cell as well as in the periplasmic space. Despite the toxicity of NPs, the driving factor for the production of NPs inside microorganisms remains unelucidated. Several reports suggest that nanotization is a way of stress response and biodefense mechanism for the microbe, which involves metal excretion/accumulation across membranes, enzymatic action, efflux pump systems, binding at peptides, and precipitation. Moreover, genes also play an important role for microbial nanoparticle biosynthesis. The resistance of microbial cells to metal ions during inward and outward transportation leads to precipitation. Accordingly, it becomes pertinent to understand the interaction of the metal ions with proteins, DNA, organelles, membranes, and their subsequent cellular uptake. The elucidation of the mechanism also allows us to control the shape, size, and monodispersity of the NPs to develop large-scale production according to the required application. This article reviews different means in microbial synthesis of NPs focusing on understanding the cellular, biochemical, and molecular mechanisms of nanotization of metals.

Microbial Nano-Factories: Synthesis and Biomedical Applications

In the recent times, nanomaterials have emerged in the field of biology, medicine, electronics, and agriculture due to their immense applications. Owing to their nanoscale sizes, they present large surface/volume ratio, characteristic structures, and similar dimensions to biomolecules resulting in unique properties for biomedical applications. The chemical and physical methods to synthesize nanoparticles have their own limitations which can be overcome using biological methods for the synthesis. Moreover, through the biogenic synthesis route, the usage of microorganisms has offered a reliable, sustainable, safe, and environmental friendly technique for nanosynthesis. Bacterial, algal, fungal, and yeast cells are known to transport metals from their environment and convert them to elemental nanoparticle forms which are either accumulated or secreted. Additionally, robust nanocarriers have also been developed using viruses. In order to prevent aggregation and promote stabilization of the nanoparticles, capping agents are often secreted during biosynthesis. Microbial nanoparticles find biomedical applications in rapid diagnostics, imaging, biopharmaceuticals, drug delivery systems, antimicrobials, biomaterials for tissue regeneration as well as biosensors. The major challenges in therapeutic applications of microbial nanoparticles include biocompatibility, bioavailability, stability, degradation in the gastro-intestinal tract, and immune response. Thus, the current review article is focused on the microbe-mediated synthesis of various nanoparticles, the different microbial strains explored for such synthesis along with their current and future biomedical applications.

New threatening of SARS-CoV-2 coinfection and strategies to fight the current pandemic

Coronavirus disease (COVID-19) is a global pandemic. The COVID-19 outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has overloaded healthcare systems that need medication to be rapidly established, at least to minimize the incidence of COVID-19. The coinfection with other microorganisms has drastically affected human health. Due to the utmost necessity to treat the patient infected with COVID-19 earliest, poor diagnosis and misuse of antibiotics may lead the world where no more drugs are available even to treat mild infections. Besides, sanitizers and disinfectants used to help minimize widespread coronavirus infection risk also contribute to an increased risk of antimicrobial resistance. To ease the situation, zinc supplements' potentiality has been explored and found to be an effective element to boost the immune system. Zinc also prevents the entry of the virus by increasing the ciliary beat frequency. Furthermore, the limitations of current antiviral agents such as a narrow range and low bioavailability can be resolved using nanomaterials, which are considered an important therapeutic alternative for the next generation. Thus, the development of new antiviral nanoagents will significantly help tackle many potential challenges and knowledge gaps. This review paper provides profound insight into how COVID-19 and antimicrobial resistance (AMR) are interrelated and the possible implications and current strategies to fight the ongoing pandemic.

Alzheimer's disease and its treatment by different approaches: A review

Alzheimer's disease (AD) is a neurodegenerative disorder that impairs mental ability development and interrupts neurocognitive function. This neuropathological condition is depicted by neurodegeneration, neural loss, and development of neurofibrillary tangles and Aβ plaques. There is also a greater risk of developing AD at a later age for people with cardiovascular diseases, hypertension and diabetes. In the biomedical sciences, effective treatment for Alzheimer's disease is a severe obstacle. There is no such treatment to cure Alzheimer's disease. The drug present in the market show only symptomatic relief. The cause of Alzheimer's disease is not fully understood and the blood-brain barrier restricts drug efficacy are two main factors that hamper research. Stem cell-based therapy has been seen as an effective, secure, and creative therapeutic solution to overcoming AD because of AD's multifactorial nature and inadequate care. Current developments in nanotechnology often offer possibilities for the delivery of active drug candidates to address certain limitations. The key nanoformulations being tested against AD include polymeric nanoparticles (NP), inorganic NPs and lipid-based NPs. Nano drug delivery systems are promising vehicles for targeting several therapeutic moieties by easing drug molecules' penetration across the CNS and improving their bioavailability. In this review, we focus on the causes of the AD and their treatment by different approaches.

Pediatric Ovarian Torsion: A Diagnostic Challenge in COVID-19 Times

Ovarian torsion is a rare gynecological emergency in children and an early surgical intervention is needed to salvage the ovary. Herein, we present a case of eight year old girl who presented with complaints of lower abdominal pain during ongoing COVID-19 pandemic. She was diagnosed as a case of ovarian torsion on right side. She underwent exploratory laparotomy and ovarian cystectomy was performed. Delay in diagnosis and treatment of ovarian torsion may have grave consequences, resulting in functional loss of the ovary.

Phytochemical delivery through nanocarriers: a review

In recent times, phytochemicals encapsulated or conjugated with nanocarriers for delivery to the specific sites have gained considerable research interest. Phytochemicals are mostly plant secondary metabolites which reported to be beneficial for human health and in disease theraphy. However, these compound are large size and polar nature of these compounds, make it difficult to cross the blood-brain barrier (BBB), endothelial lining of blood vessels, gastrointestinal tract and mucosa. Moreover, they are enzymatically degraded in the gastrointestinal tract. Therefore, encapsulation or conjugation of these compounds with nanocrriers could be an alternate way to enhance their bioefficacy by influencing their gastrointestinal stability, rate of absorption and dispersion. This review presents an overview of nanocarriers alternatives which improves therapeutic value and avoid toxicity, by releasing bioactive compounds specifically at target tissues with enhanced stability and bioavailability. Future investigations may emphasize on deciphering the structural changes in nanocarriers during digestion and absorption, the difference between in-vitro and in-vivo digestion simulations, and impact of nanocarriers on the metabolism of phytochemicals.

A reference high-pressure CH4 adsorption isotherm for zeolite Y: results of an interlaboratory study

This paper reports the results of an international interlaboratory study led by the National Institute of Standards and Technology (NIST) on the measurement of high-pressure surface excess methane adsorption isotherms on NIST Reference Material RM 8850 (Zeolite Y), at 25 °C up to 7.5 MPa. Twenty laboratories participated in the study and contributed over one-hundred adsorption isotherms of methane on Zeolite Y. From these data, an empirical reference equation was determined, along with a 95% uncertainty interval (Uk=2). By requiring participants to replicate a high-pressure reference isotherm for carbon dioxide adsorption on NIST Reference Material RM 8852 (ZSM-5), this interlaboratory study also demonstrated the usefulness of reference isotherms in evaluating the performance of high-pressure adsorption experiments.

Improving cardiopulmonary resuscitation (CPR) performance using an audio-visual feedback device for healthcare providers in an emergency department setting in Malaysia: a quasi-experimental study

INTRODUCTION

Cardiopulmonary Resuscitation (CPR) remains the primary mechanism of resuscitation for cardiac arrest victims. However, the quality of delivery of CPR varies widely in different settings, possibly affecting patient outcomes. This study is aimed to determine the efficacy of an audio-visual (AV) CPR feedback device in improving the quality of CPR delivered by healthcare providers.

METHODS

This pre-post, single-arm, quasi-experimental study randomly sampled 140 healthcare providers working in the Emergency Department of Hospital Ampang, Malaysia. Parameters of CPR quality, namely chest compression rate and depth were compared among participants when they performed CPR with and without an AV CPR feedback device. The efficacy of the AV CPR feedback device was assessed using the Chi-square test and Generalised Estimating Equations (GEE) models.

RESULTS

The use of an AV CPR feedback device increased the proportion of healthcare providers achieving recommended depth of chest compressions from 38.6% (95% Confidence Interval, 95%CI: 30.5, 47.2) to 85.0% (95%CI: 78.0, 90.5). A similar significant improvement from 39.3% (95%CI: 31.1, 47.9) to 86.4% (95%CI: 79.6, 91.6) in the recommended rate of chest compressions was also observed. Use of the AV CPR device significantly increased the likelihood of a CPR provider achieving recommended depth of chest compressions (Odds Ratio, OR=13.01; 95%CI: 7.12, 24.01) and rate of chest compressions (OR=13.00; 95%CI: 7.21, 23.44).

CONCLUSION

The use of an AV CPR feedback device significantly improved the delivered rate and depth of chest compressions closer to American Heart Association (AHA) recommendations. Usage of such devices within real-life settings may help in improving the quality of CPR for patients receiving CPR.

Building resilient and responsive research collaborations to tackle antimicrobial resistance-Lessons learnt from India, South Africa, and UK

Research, collaboration, and knowledge exchange are critical to global efforts to tackle antimicrobial resistance (AMR). Different healthcare economies are faced with different challenges in implementing effective strategies to address AMR. Building effective capacity for research to inform AMR-related strategies and policies is recognised as an important contributor to success. Interdisciplinary, intersector, as well as international collaborations are needed to span global to local efforts to tackle AMR. The development of reciprocal, long-term partnerships between collaborators in high-income and in low- and middle-income countries (LMICs) needs to be built on principles of capacity building. Using case studies spanning local and international research collaborations to codesign, implement, and evaluate strategies to tackle AMR, we have evaluated and build upon the ESSENCE criteria for capacity building in LMICs. The first case study describes the local codesign and implementation of antimicrobial stewardship (AMS) in the state of Kerala in India. The second case study describes an international research collaboration investigating AMR surgical patient pathways in India, the UK, and South Africa. We describe the steps undertaken to develop robust, agile, and flexible AMS research and implementation teams. Notably, investing in capacity building ensured that the programmes described in these case studies were sustained through the current severe acute respiratory syndrome coronavirus pandemic. Describing the strategies adopted by a local and an international collaboration to tackle AMR, we provide a model for capacity building in LMICs that can support sustainable and agile AMS programmes.

The Differences in Antibiotic Decision-making Between Acute Surgical and Acute Medical Teams: An Ethnographic Study of Culture and Team Dynamics

BACKGROUND

Cultural and social determinants influence antibiotic decision-making in hospitals. We investigated and compared cultural determinants of antibiotic decision-making in acute medical and surgical specialties.

METHODS

An ethnographic observational study of antibiotic decision-making in acute medical and surgical teams at a London teaching hospital was conducted (August 2015-May 2017). Data collection included 500 hours of direct observations, and face-to-face interviews with 23 key informants. A grounded theory approach, aided by Nvivo 11 software, analyzed the emerging themes. An iterative and recursive process of analysis ensured saturation of the themes. The multiple modes of enquiry enabled cross-validation and triangulation of the findings.

RESULTS

In medicine, accepted norms of the decision-making process are characterized as collectivist (input from pharmacists, infectious disease, and medical microbiology teams), rationalized, and policy-informed, with emphasis on de-escalation of therapy. The gaps in antibiotic decision-making in acute medicine occur chiefly in the transition between the emergency department and inpatient teams, where ownership of the antibiotic prescription is lost. In surgery, team priorities are split between 3 settings: operating room, outpatient clinic, and ward. Senior surgeons are often absent from the ward, leaving junior staff to make complex medical decisions. This results in defensive antibiotic decision-making, leading to prolonged and inappropriate antibiotic use.

CONCLUSIONS

In medicine, the legacy of infection diagnosis made in the emergency department determines antibiotic decision-making. In surgery, antibiotic decision-making is perceived as a nonsurgical intervention that can be delegated to junior staff or other specialties. Different, bespoke approaches to optimize antibiotic prescribing are therefore needed to address these specific challenges.

Synthesis of cost-effective magnetic nano-biocomposites mimicking peroxidase activity for remediation of dyes

The present study describes preparation of cellulose incorporated magnetic nano-biocomposites (CNPs) by using cellulose as base material. The prepared CNPs were characterised by SEM, EDAX, TEM, XRD, and FT-IR and found to exhibit an intrinsic peroxidase-like activity with a K_m and V_max of 550 μM and 3.8 μM/ml/min, respectively. The CNPs exhibited higher pH and thermal stability compared to commercial peroxidase. These nanocomposites were able to completely remove (i) a persistent azo dye, methyl orange at a concentration of 50 ppm, within 60 min under acidic conditions (pH 3.0) and also (ii) decolourize commercial textile dye mixture under acidic conditions within 30 min. CNP-mediated degradation of dyes into simple products was further confirmed by UV-Vis and AT-IR spectroscopy The added advantage of CNPs separation after decolourization by simple magnet due to their magnetic properties and consequent reusability makes them fairy attractive system for dye remediation from environmental samples or textile industries effluents.

Chitin and its derivatives: Structural properties and biomedical applications

Chitin, a polysaccharide that occurs abundantly in nature after cellulose, has attracted the interest of the scientific community due to its plenty of availability and low cost. Mostly, it is derived from the exoskeleton of insects and marine crustaceans. Often, it is insoluble in common solvents that limit its applications but its deacetylated product, named chitosan is found to be soluble in protonated aqueous medium and used widely in various biomedical fields. Indeed, the existence of the primary amino group on the backbone of chitosan provides it an important feature to modify it chemically into other derivatives easily. In the present review, we present the structural properties of chitin, and its derivatives and highlighted their biomedical implications including, tissue engineering, drug delivery, diagnosis, molecular imaging, antimicrobial activity, and wound healing. We further discussed the limitations and prospects of this versatile natural polysaccharide.

The effect of gestational age on women's preference for quality goods

Background

It is a well-established fact that hormonal changes significantly influence the consumer behaviors and their purchase intentions. However, attention to the conspicuous buying due to the mood swings, as a result of hormonal changes, during the pregnancy have been largely ignored in the literature.

Aims

The current research aims to examine the prospective association of conspicuous purchase intentions with hormonal changes and mood swings during the pregnancy.

Methods

An experimental procedure was used to assess the data collected from pregnant women (n = 116) and the hypotheses were analyzed using recall probability and recall position measures.

Results

The hormonal changes during the pregnancy were analyzed in three stages known as pregnancy trimesters suggested by the relevant literature (Trimester-1 = 39, Trimister-2 = 36 and Trimester-3 = 41). The respondents were exposed to visual attention of specifically designed images with a unique combination of the status and functional products. The ROC values for Trimester 2 is higher in all 4 graphs (0.923, 0.960, 0.892, and 0.923) respectively than Trimester 1 and 3.

Conclusion

Findings revealed that the women purchase preferences shift as pregnancy move from one trimester to another. Women pay more attention to status products during the 2^nd trimester as compared to 1^st and 3^rd trimesters of pregnancy.

Comparison of data-driven respiratory signal extraction methods from cone-beam CT (CBCT)

In Cone-Beam CT (CBCT) imaging, respiratory motion needs to be considered to mitigate motion artifacts thus increasing the accuracy of reconstructed images. Data driven methods can be used to extract respiratory signal directly from projection data without requiring any additional equipment or surrogate devices. Digital phantoms provide an adequate option to evaluate developing methods prior to clinical implementation. In this study, four data driven methods are used to extract respiratory signal from simulated projections. An in-house 4D MRI-based CBCT digital phantom is used, where actual respiratory signal is available as ground truth. In comparing all four data driven methods, the respiratory signal extracted using the Local Principal Component Analysis (LPCA) method is found to be robust and yielded the highest correlation coefficient of 0.8644 compared to the ground truth.

IntraperitonealInsulin: A Protocol for Administration during CAPD and Review of Published Protocols

For many diabetics in end-stage renal failure, the initial therapy they receive will be continuous ambulatory peritoneal dialysis (CAPD) together with i.p. insulin. To date, all published protocols rely on empirical dosages based upon predialysis insulin requirements. A practical regimen for the institution of i.p. insulin administration during CAPD is described. The only endpoints used to determine insulin dosage were fasting plasma glucose 5 to 10 mmol/L and 2 h postprandial plasma glucose 8 to 15 mmol/L. An initial protocol related to body weight, dextrose content, volume, and timing of dialysate was based on a retrospective analysis of the results in our first 10 patients. Subsequently, a prospective assessment in an additional 22 patients confirmed the effectiveness of the regimen. The following protocol is recommended for the institution of i.p. insulin therapy in patients undergoing CAPD: Preprandial exchanges 1.36% dextrose-0.175 U/L dialysate/kg body weight 3.86% dextrose-0.25 U/L/kg Overnight exchanges 1.36% dextrose-0.1 U/L/kg 3.86% dextrose-0.15 U/L/kg Further adjustment of insulin dosage is then made on the basis of four hourly plasma glucose profiles. Self-monitoring of capillary blood glucose is recommended.