Pub Date : 2023-01-01DOI: 10.2174/2772434418666230119101350
Sourav Sen, Nitin Kumar
Ever since the coronavirus disease 2019 (COVID-19) pandemic struck, the challenges posed to the scientific community by its causative agent, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been countless, and still continue to emerge. Even though a host of repurposed and new therapeutic agents as well as vaccines have been, and are being assessed at a breakneck speed, this contagion continues to create havoc, returning back in waves, with appearance of newer viral variants which are associated with numerous challenges, which include greater transmissibility, increased virulence, immune escape, etc. In this study, we discuss the current status of various therapeutic agents which are being used, or in the various stages of preclinical/clinical trials for managing COVID-19.
{"title":"SARS-CoV-2 Pandemic-Therapeutics in Warp Speed.","authors":"Sourav Sen, Nitin Kumar","doi":"10.2174/2772434418666230119101350","DOIUrl":"https://doi.org/10.2174/2772434418666230119101350","url":null,"abstract":"<p><p>Ever since the coronavirus disease 2019 (COVID-19) pandemic struck, the challenges posed to the scientific community by its causative agent, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been countless, and still continue to emerge. Even though a host of repurposed and new therapeutic agents as well as vaccines have been, and are being assessed at a breakneck speed, this contagion continues to create havoc, returning back in waves, with appearance of newer viral variants which are associated with numerous challenges, which include greater transmissibility, increased virulence, immune escape, etc. In this study, we discuss the current status of various therapeutic agents which are being used, or in the various stages of preclinical/clinical trials for managing COVID-19.</p>","PeriodicalId":74643,"journal":{"name":"Recent advances in anti-infective drug discovery","volume":"18 2","pages":"110-119"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9864347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.2174/2772434418666230228121730
Alpana Kulkarni, Priya Betai
Background: Tuberculosis (TB) is still a major cause of death worldwide, despite possibly curable therapies. Neurotoxicity, optic neuritis, and severe liver damage are side effects of isoniazid, a powerful first-line anti-TB drug.
Objective: We investigated the use of PCL-PEG copolymer to sustain the release of isoniazid to reduce its adverse effects.
Methods: In the present work, PCL-PEG copolymer was synthesized and characterized. Isoniazid-loaded nanoparticles (Inp) were prepared using a PCL-PEG copolymer. Furthermore, a 23 half factorial design was employed for the optimization of drug and emulsifier concentration in Inp. Full characterization of the nanoparticles was performed in terms of drug loading, entrapment efficiency, particle size, zeta potential, and in vitro drug release. The morphology, FTIR, DSC, and PXRD evaluation of the optimized Batch Inp F13 were studied. Stability was evaluated by storing the freeze-dried Inp F13 at various temperatures.
Results: The entrapment efficiency and drug loading of nanoparticles prepared by double emulsion solvent evaporation were found to be the highest. The release study revealed that all batches of nanoparticles exhibited sustained drug release (60.26 - 88.59%) for 5 days. The cytotoxicity study conducted on Mycobacterium tuberculosis revealed a gradual release of isoniazid from Inp, reaching the maximum (on the 15th day) compared to plain isoniazid (on the 4th day). At 0.8 μg/mL concentration, the inhibitory activity of Inp F13 was maintained for 15 days, indicating sustained release of isoniazid.
Conclusion: The nanoparticles having PCL:PEG in a 95:5 ratio, with 0.5% PVA and initial drug loading of 3 mg, produced the optimum batch. Isoniazid-loaded PCL-PEG nanoparticles allowed controlled (sustained) release of isoniazid.
{"title":"Isoniazid Loaded PCL-PEG Copolymer Nanoparticles for Sustained Release Application.","authors":"Alpana Kulkarni, Priya Betai","doi":"10.2174/2772434418666230228121730","DOIUrl":"https://doi.org/10.2174/2772434418666230228121730","url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis (TB) is still a major cause of death worldwide, despite possibly curable therapies. Neurotoxicity, optic neuritis, and severe liver damage are side effects of isoniazid, a powerful first-line anti-TB drug.</p><p><strong>Objective: </strong>We investigated the use of PCL-PEG copolymer to sustain the release of isoniazid to reduce its adverse effects.</p><p><strong>Methods: </strong>In the present work, PCL-PEG copolymer was synthesized and characterized. Isoniazid-loaded nanoparticles (Inp) were prepared using a PCL-PEG copolymer. Furthermore, a 2<sup>3</sup> half factorial design was employed for the optimization of drug and emulsifier concentration in Inp. Full characterization of the nanoparticles was performed in terms of drug loading, entrapment efficiency, particle size, zeta potential, and in vitro drug release. The morphology, FTIR, DSC, and PXRD evaluation of the optimized Batch Inp F13 were studied. Stability was evaluated by storing the freeze-dried Inp F13 at various temperatures.</p><p><strong>Results: </strong>The entrapment efficiency and drug loading of nanoparticles prepared by double emulsion solvent evaporation were found to be the highest. The release study revealed that all batches of nanoparticles exhibited sustained drug release (60.26 - 88.59%) for 5 days. The cytotoxicity study conducted on <i>Mycobacterium tuberculosis </i>revealed a gradual release of isoniazid from Inp, reaching the maximum (on the 15<sup>th</sup> day) compared to plain isoniazid (on the 4<sup>th</sup> day). At 0.8 μg/mL concentration, the inhibitory activity of Inp F13 was maintained for 15 days, indicating sustained release of isoniazid.</p><p><strong>Conclusion: </strong>The nanoparticles having PCL:PEG in a 95:5 ratio, with 0.5% PVA and initial drug loading of 3 mg, produced the optimum batch. Isoniazid-loaded PCL-PEG nanoparticles allowed controlled (sustained) release of isoniazid.</p>","PeriodicalId":74643,"journal":{"name":"Recent advances in anti-infective drug discovery","volume":"18 3","pages":"221-238"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9947808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Steroids have shown its usefulness in critically ill COVID-19 patients. However, the time of starting steroid and dose tailored to severity remain a matter of inquiry due to still emerging evidences and wide-ranging concerns of benefits and harms. We did a retrospective record analysis in an apex teaching hospital ICU setting to explore optimal doses and duration of steroid therapy which can decrease mortality.
Methods: 114 adults with COVID-19-ARDS admitted to ICU between 20th March-15th August 2020 were included in chart review. We did preliminary exploratory analysis (rooted in steroid therapy matrix categorized by dose and duration) to understand the effect of several covariates on survival. This was followed by univariate and multivariate Cox proportion hazard regression analysis and model diagnostics.
Results: Exploratory analysis and visualization indicated age, optimal steroid, severity (measured in P/F) of disease and infection status as potential covariates for survival. Univariate cox regression analysis showed significant positive association of age > 60 years {2.6 (1.5-4.7)} and protective effect of optimum steroid {0.38(0.2-0.72)} on death (hazard) in critically ill patients. Multivariate cox regression analysis after adjusting effect of age showed protective effect of optimum steroid on hazard defined as death {0.46(0.23-0.87), LR = 17.04, (p = 2e-04)}. The concordance was 0.70 and model diagnostics fulfilled the assumption criteria for proportional hazard model.
Conclusion: Optimal dose steroid as per defined 'optimum' (<24 hours and doses tailored to P/F at presentation) criteria can offer protective effect from mortality which persists after adjusting for age. This protective effect was not found to be negatively influenced by the risk of infection.
{"title":"Whether Early Steroid dose is Associated with Lower Mortality in COVID-19 Critically Ill Patients-An Exploratory Chart Review.","authors":"Abhishek Goyal, Ankur Joshi, Saurabh Saigal, Dodda Brahmam, Yogesh Niwariya, Alkesh Khurana, Sagar Khadanga, Arun Mitra","doi":"10.2174/2772434417666220817121439","DOIUrl":"https://doi.org/10.2174/2772434417666220817121439","url":null,"abstract":"<p><strong>Introduction: </strong>Steroids have shown its usefulness in critically ill COVID-19 patients. However, the time of starting steroid and dose tailored to severity remain a matter of inquiry due to still emerging evidences and wide-ranging concerns of benefits and harms. We did a retrospective record analysis in an apex teaching hospital ICU setting to explore optimal doses and duration of steroid therapy which can decrease mortality.</p><p><strong>Methods: </strong>114 adults with COVID-19-ARDS admitted to ICU between 20th March-15th August 2020 were included in chart review. We did preliminary exploratory analysis (rooted in steroid therapy matrix categorized by dose and duration) to understand the effect of several covariates on survival. This was followed by univariate and multivariate Cox proportion hazard regression analysis and model diagnostics.</p><p><strong>Results: </strong>Exploratory analysis and visualization indicated age, optimal steroid, severity (measured in P/F) of disease and infection status as potential covariates for survival. Univariate cox regression analysis showed significant positive association of age > 60 years {2.6 (1.5-4.7)} and protective effect of optimum steroid {0.38(0.2-0.72)} on death (hazard) in critically ill patients. Multivariate cox regression analysis after adjusting effect of age showed protective effect of optimum steroid on hazard defined as death {0.46(0.23-0.87), LR = 17.04, (p = 2e-04)}. The concordance was 0.70 and model diagnostics fulfilled the assumption criteria for proportional hazard model.</p><p><strong>Conclusion: </strong>Optimal dose steroid as per defined 'optimum' (<24 hours and doses tailored to P/F at presentation) criteria can offer protective effect from mortality which persists after adjusting for age. This protective effect was not found to be negatively influenced by the risk of infection.</p>","PeriodicalId":74643,"journal":{"name":"Recent advances in anti-infective drug discovery","volume":"18 1","pages":"42-53"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9111169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.2174/277243441703221110095800
A. Tsakris
{"title":"Meet the Regional Editor","authors":"A. Tsakris","doi":"10.2174/277243441703221110095800","DOIUrl":"https://doi.org/10.2174/277243441703221110095800","url":null,"abstract":"","PeriodicalId":74643,"journal":{"name":"Recent advances in anti-infective drug discovery","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77855522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}