The objective of our study was to formulate and evaluate proliposomes in the form of enteric-coated beads using glyburide as a model drug. The beads were enteric coated with Eudragit L-100 by a fluidized bed coating process using triethyl citrate as plasticizer. Content uniformity of glyburide was estimated using HPLC analysis of beads dissolved in methanol. These proliposomal beads formed liposomes on disintegration in phosphate buffered saline (pH 7.4), which was confirmed by transmission electron microscopy. The dissolution study of enteric-coated beads exhibited enhanced dissolution compared with pure drug and a marketed product. Liposomes can be successfully prepared for oral administration in the form of enteric-coated beads that may offer a stable system to produce liposomes for oral administration.
Potential competing interests: No potential competing interests to declare.Well, it is interesting to see such a good piece of work on the vaccination drive during the coronavirus outbreak.I
Abstract Background Infection risk was significant for front-line nurses during the Covid-19 outbreak. The pandemic presented several ethical difficulties and sapped nurses’ drive to labor harder for longer periods. This study evaluates registered nurses’ perceptions of Covid-19 infection risk, ethical dilemmas, and motivating factors. Materials and methods During March and April 2022, 400 registered nurses from a newly established tertiary care hospital participated in this cross-sectional exploratory survey. The risk assessment scale, motivation to work scale, and ethical dilemma scale were used to assess the perceived risk of infection, motivational factors and ethical challenges experienced by the nurses. Appropriate descriptive and inferential statistics were applied to compute the results. Results 76.4% of nurses feared working as a nurse put them at higher risk of infection. Besides the fear of contracting infection, nurses believed they were the source of infection to family members (70.8%) and people around (67.5%). 63.3% of nurses agree that they do not have the right to refuse treatment and every patient has the right to receive optimal care, regardless of age, gender, and medical conditions. Professional obligation to treat patients (72.3%) and sound professional knowledge and experience (83.5%) are important motivating factors to work during the pandemic. Multilinear regression analysis revealed that professional education (95% CI, 3.845 − 0.694, p = 0.005), Covid-19 positive status (95% CI,0.455-2.756, p = 0.006), and post-Covid-19 hospitalization (95% CI, 1.395–6.978, p = 0.003) and duration of hospitalization (95% CI, 0.754-0.058, p = 0.022) are independent predictors of higher perceived risk of infection among nurses. Conclusions During the pandemic, nurses were afraid to work and faced personal and family risks of contracting the virus. Despite these challenges, they still feel a strong sense of commitment and dedication to providing the best possible care. Nurse administrators need to create a supportive environment that follows ethical principles and meets the needs of nurses to boost their motivation and encourage them to continue working for longer periods.
In the present study, the hepatoprotective activity of Artocarpus heterophyllus Lam.leaves was investigated against thioacetamide induced hepatotoxicity model in Wistar albino rats.The acute toxicity study showed that there is no mortality or adverse reaction at the fixed dose of 2000 mg/kg.The methanolic and aqueous extract at 250 and 500 mg/kg body weight respectively were administered daily to study the hepatoprotective effect in thioacetamide induced hepatotoxic model for the period of 10 days.It was observed that there was a remarkable decrease in bilirubin (Total and Direct), ALP, SGOT and SGPT level in treatment group as compared to the hepatotoxic group.In histopathological study, hepatocytic necrosis and inflammation in the centrilobular region with portal triaditis was found in hepatotoxicity induced group whereas minimal inflammation with moderate portal triaditis and normal lobular architecture observed in extract treated groups.From the observation, it can be concluded that the methanolic as well as aqueous extract of Artocarpus heterophyllus Lam. have the potential to revert the hepatic injury induced by thioacetamide.Comparatively, the aqueous extract at 500 mg/kg b.w.resulted significant hepatoprotective effect as compared to methanolic extract at the same dose level.The standard drug silymarin was used for comparison.
Abstract: One of the most frequent malignancies in the world is colon cancer. Both men and women are affected in the same way. The colon, which makes up the last part of the digestive system and is where water and minerals from food waste are absorbed, is vulnerable to cancer. The most suitable technique of drug administration is oral administration. Aqueous solubility is low in more than 40% of novel chemical entities, resulting in poor oral drug administration. In the formulation of oral medications, low inconsistent bioavailability is a major challenge. Increasing medication bioavailability is one of the most difficult aspects of pharmacological development. Self-nano-emulsifying drug delivery systems (SNEDDS) have been a potential platform for biopharmaceutical classification system class II and IV drugs for oral delivery. Enhanced bioavailability and solubility, control of toxicity, pharmacological effects, improved stability, improved tissue macrophage dispersion, prolonged delivery, and resistance to physical and chemical degradation are just a few benefits of SNEDDS for herbal drugs. To increase activity and address problems associated with herbal drugs, nanosized modern drug delivery technologies are expected to have a promising future. Improved patient compliance, fewer problems with liquid SNEDDS filled in capsules, and enhanced stability SNEDDS are all benefits of converting liquid SNEDDS to solid oral dosage forms or solid SNEDDS. SNEDDS differs from previous solubility augmentation methods due to its biodegradable components, simplicity of large-scale production, and range of drug-targeting possibilities.
The present study aims to prepare a methanolic extract of Dragea volubilis and to quantitatively estimate kaempferol and chlorogenic acid using newly developed and validated method of high-performance thin layer chromatography (HPTLC) using TLC densitometry technique. Dried leaves obtained from D. volubilis were defatted with petroleum ether and extracted in a Soxhlet extractor with methanol. The solvent was evaporated using a Rota evaporator. Quantitative analysis of the extract was done using TLC and HPTLC. A mixture of toluene: ethyl acetate: glacial acetic acid (5.5:4:0.5) for kaempferol and ethyl acetate: acetic acid: water (7:1.5:1.5) for chlorogenic acid was used as a mobile phase. The chromatography was performed on a TLC plate precoated with silica gel GF254 and the developed TLC plates were visualized and quantified at 367 nm and 327 nm for kaempferol and chlorogenic acid, respectively. The percentage yield was found to be 0.0397 ± 0.0001 and 0.0755 ± 0.0000 for kaempferol and 0.0755 ± 0.0000 for chlorogenic acid. Rf. values 0.95 and 0.61 were observed for kaempferol and chlorogenic acid, respectively. The method was validated for instrumental precision, repeatability, coefficient of determination (r2), linearity range (ng), LOD (ng), LOQ (ng), and intra-day and inter-day precision for both kaempferol and chlorogenic acid, and all the parameters were found to be within the acceptable range as per the ICH guidelines. The newly developed HPTLC method was found to be prompt, cost-effective, precisely accurate, and reproducible for the qualitative as well as quantitative analysis of kaempferol and chlorogenic acid in methanolic extract of D. volubilis.
Background The coronavirus disease 2019 (COVID-19) vaccinations have brought new hope to the world and have a significant psychosocial impact on communities as well as healthcare systems around the globe. This study aimed to assess the antibody titer level among healthcare workers after at least six weeks of the second dose of the COVID-19 vaccine. Methods Participants of the study were healthcare workers of a tertiary care cardiac center including doctors, nursing staff, paramedics, and office staff. All participants were fully vaccinated with recommended double dose of available vaccine at least six weeks before the study. A blood sample of five milliliters was collected from all the participants by a trained phlebotomist at a local laboratory, and COVID-19 antibodies titer level was assessed using Food and Drug Administration (FDA) approved kit with a standard range of 1.0. This qualitative assay detects IgG and IgM as total antibodies targeted against nucleocapsid antigen performed on a fully automated cobas® 6000 analyzer (F. Hoffmann-La Roche Ltd, Basel, Switzerland) using electrochemiluminescence technology. COVID-19 antibodies titer levels were categorized as ≤100, 101-250, and >250. Results A total of 151 healthcare workers were included, of which 70.2% (106) were male. The history of COVID-19 infection before vaccination was found in 41.1% (62). The mean duration since the last dose of the vaccine was 89.6±40.07 days. In total 71.5% (108) had antibodies titer level of >250, which were mostly found in participants of younger age and who had previous COVID-19 infection. However, antibodies titer level of >250 were observed in 84% (21/25) at 61 to 90 days of vaccination, which declined to 80% (20/25) after 91 to 120 days and to 57.1% (32/56) after >120 days of vaccination. Conclusions Good antibodies titer levels were observed in vaccinated healthcare workers, especially in those who were younger and had previous COVID-19 infection.
Background: The coronavirus disease 2019 (COVID-19) pandemic has caused a large number of deaths along with severe socio-economic effects. The vaccine is considered to be the last hope to control viral transmission. This study aimed to explore the determinants of health care workers’ (HCWs) willingness to take the COVID-19 vaccination.Methods: A structured, pre-validated, and pre-tested questionnaire was administered online to 599 HCWs including physicians, residents, and nurses from different types of healthcare set-ups across India. Information was collected regarding vaccine acceptability, attitude toward vaccination, and reasons for hesitancy. The chi-square test, followed by multinomial regression analysis, was applied to determine the factors associated with HCWs’ vaccination willingness.Results: It was found that 73 % (n=437) of HCWs were willing to accept the vaccines, while 10.85% (n=65) refused and 16.2% (n=96) needed more time to decide. Gender (P<0.001), occupation (P=0.040), working as front-line workers (P=0.008), vaccine manufacturing country preferences (P<0.001), and perceived risk of catching COVID-19 in the next 6 months (P=0.005) had a significant association with intent to receive vaccination (the response were “yes” vs. “no” and “not sure”). The reasons for vaccine hesitancy were vaccine safety and efficacy concerns, antivaccine attitude and beliefs, personal choice, and not wanting to take a vaccine before others.Conclusion: The majority of HCWs agreed to take COVID-19 vaccines once available. Nevertheless, providing support to manage evolving vaccine environments will help change the perception of HCWs who refuse or are reluctant to take the vaccines.
'%3e%3cg id='e'%3e%3cg id='c' fill='none' stroke='%23fff' stroke-width='2'%3e%3cpath id='b' d='M0 1h26M1 10V5h8v4h8V5h-5M4 9h2m20 0h-5V5h8m0-5v9h8V0m-4 0v9' transform='scale(1.4)'/%3e%3cpath id='a' d='M0 7h9m1 0h9' transform='scale(2.8)'/%3e%3cuse xlink:href='%23a' y='120'/%3e%3cuse xlink:href='%23b' y='145.2'/%3e%3c/g%3e%3cg id='d'%3e%3cuse xlink:href='%23c' x='56'/%3e%3cuse xlink:href='%23c' x='112'/%3e%3cuse xlink:href='%23c' x='168'/%3e%3c/g%3e%3c/g%3e%3cuse xlink:href='%23d' x='168'/%3e%3cuse xlink:href='%23e' x='392'/%3e%3c/g%3e%3cg fill='%23da0000' transform='matrix(45 0 0 45 315 180)'%3e%3cg id='f'%3e%3cpath d='M-.548.836A.912.912 0 0 0 .329-.722 1 1 0 0 1-.548.836'/%3e%3cpath d='M.618.661A.764.764 0 0 0 .422-.74 1 1 0 0 1 .618.661M0 1l-.05-1L0-.787a.31.31 0 0 0 .118.099V-.1l-.04.993zM-.02-.85 0-.831a.144.144 0 0 0 .252-.137A.136.136 0 0 1 0-.925'/%3e%3c/g%3e%3cuse xlink:href='%23f' transform='scale(-1 1)'/%3e%3c/g%3e%3c/svg%3e)
'%3e%3ccircle r='20' fill='%23008'/%3e%3ccircle r='17.5' fill='%23fff'/%3e%3ccircle r='3.5' fill='%23008'/%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cg id='a' fill='%23008'%3e%3ccircle r='.875' transform='rotate(7.5 -8.75 133.5)'/%3e%3cpath d='M0 17.5.6 7 0 2l-.6 5L0 17.5z'/%3e%3c/g%3e%3cuse xlink:href='%23a' transform='rotate(15)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(30)'/%3e%3c/g%3e%3cuse xlink:href='%23c' transform='rotate(60)'/%3e%3c/g%3e%3cuse xlink:href='%23d' transform='rotate(120)'/%3e%3cuse xlink:href='%23d' transform='rotate(-120)'/%3e%3c/g%3e%3c/svg%3e)
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)
'/%3e%3cuse xlink:href='%23a' transform='rotate(72 0 0)'/%3e%3cuse xlink:href='%23a' transform='rotate(-72 0 0)'/%3e%3cuse xlink:href='%23a' transform='scale(-1 1) rotate(72)'/%3e%3c/g%3e%3c/defs%3e%3cpath fill='%23012169' d='M0 0h1200v600H0z'/%3e%3cpath stroke='%23FFF' stroke-width='60' d='m0 0 600 300M0 300 600 0' clip-path='url(%23b)'/%3e%3cpath stroke='%23C8102E' stroke-width='40' d='m0 0 600 300M0 300 600 0' clip-path='url(%23c)'/%3e%3cpath stroke='%23FFF' stroke-width='100' d='M300 0v300M0 150h600' clip-path='url(%23b)'/%3e%3cpath stroke='%23C8102E' stroke-width='60' d='M300 0v300M0 150h600' clip-path='url(%23b)'/%3e%3cuse xlink:href='%23d' fill='%23FFF' transform='matrix(45.4 0 0 45.4 900 120)'/%3e%3cuse xlink:href='%23d' fill='%23C8102E' transform='matrix(30 0 0 30 900 120)'/%3e%3cg transform='rotate(82 900 240)'%3e%3cuse xlink:href='%23d' fill='%23FFF' transform='rotate(-82 519.022 -457.666) scale(40.4)'/%3e%3cuse xlink:href='%23d' fill='%23C8102E' transform='rotate(-82 519.022 -457.666) scale(25)'/%3e%3c/g%3e%3cg transform='rotate(82 900 240)'%3e%3cuse xlink:href='%23d' fill='%23FFF' transform='rotate(-82 668.57 -327.666) scale(45.4)'/%3e%3cuse xlink:href='%23d' fill='%23C8102E' transform='rotate(-82 668.57 -327.666) scale(30)'/%3e%3c/g%3e%3cuse xlink:href='%23d' fill='%23FFF' transform='matrix(50.4 0 0 50.4 900 480)'/%3e%3cuse xlink:href='%23d' fill='%23C8102E' transform='matrix(35 0 0 35 900 480)'/%3e%3c/svg%3e)
'/%3e%3c/defs%3e%3cpath fill='%23012169' d='M0 0h10080v5040H0z'/%3e%3cpath stroke='%23fff' stroke-width='.6' d='m0 0 6 3m0-3L0 3' clip-path='url(%23b)' transform='scale(840)'/%3e%3cpath stroke='%23e4002b' stroke-width='.4' d='m0 0 6 3m0-3L0 3' clip-path='url(%23c)' transform='scale(840)'/%3e%3cpath stroke='%23fff' stroke-width='840' d='M2520 0v2520M0 1260h5040'/%3e%3cpath stroke='%23e4002b' stroke-width='504' d='M2520 0v2520M0 1260h5040'/%3e%3cg fill='%23fff'%3e%3cuse xlink:href='%23d' x='2520' y='3780'/%3e%3cuse xlink:href='%23a' x='7560' y='4200'/%3e%3cuse xlink:href='%23a' x='6300' y='2205'/%3e%3cuse xlink:href='%23a' x='7560' y='840'/%3e%3cuse xlink:href='%23a' x='8680' y='1869'/%3e%3cuse xlink:href='%23e' x='8064' y='2730'/%3e%3c/g%3e%3c/svg%3e)