Pub Date : 2024-06-11DOI: 10.1080/17460794.2024.2357918
Sezin Unlu, Aylin Uskudar-Guclu, Suleyman Yalcin, O. Kurt-Azap, A. Basustaoglu
{"title":"Characterization of four virulent bacteriophages as potential therapeutics for clinical multidrug-resistant, extensively drug-resistant\u0000 Acinetobacter baumannii","authors":"Sezin Unlu, Aylin Uskudar-Guclu, Suleyman Yalcin, O. Kurt-Azap, A. Basustaoglu","doi":"10.1080/17460794.2024.2357918","DOIUrl":"https://doi.org/10.1080/17460794.2024.2357918","url":null,"abstract":"","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"80 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358054","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 : 2024-06-05DOI: 10.1080/17460794.2024.2350923
Maria L Agostini, G. Schnell, J. D. Iulio, Anita Kohli, Adrienne E Shapiro, Elias H Sarkis, Naomi Givens, Amanda Peppercorn, A. Skingsley, Leah A. Gaffney, M. Aldinger, C. Hebner, A. Cathcart
{"title":"Resistance analysis in the phase III COMET-TAIL study: treatment of COVID-19 with intramuscular or intravenous sotrovimab","authors":"Maria L Agostini, G. Schnell, J. D. Iulio, Anita Kohli, Adrienne E Shapiro, Elias H Sarkis, Naomi Givens, Amanda Peppercorn, A. Skingsley, Leah A. Gaffney, M. Aldinger, C. Hebner, A. Cathcart","doi":"10.1080/17460794.2024.2350923","DOIUrl":"https://doi.org/10.1080/17460794.2024.2350923","url":null,"abstract":"","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"41 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384574","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 : 2024-06-05DOI: 10.1080/17460794.2024.2350247
P. Mamidi, Baijayantimala Mishra, S. Panda, Amrita Ray, Deepak Jena, V. K. Biswas, E. Laha, Monalisa Mohanty, Soma Chattopadhyay, Sunil Raghav, B. Kar, Manoj Nayak, M. Mandal, Debashis Santra, B. Dwibedi, Kavita Gupta
{"title":"Identification of a novel Indian clade of Coxsackievirus A16 in Hand, Foot and Mouth disease outbreak in 2022","authors":"P. Mamidi, Baijayantimala Mishra, S. Panda, Amrita Ray, Deepak Jena, V. K. Biswas, E. Laha, Monalisa Mohanty, Soma Chattopadhyay, Sunil Raghav, B. Kar, Manoj Nayak, M. Mandal, Debashis Santra, B. Dwibedi, Kavita Gupta","doi":"10.1080/17460794.2024.2350247","DOIUrl":"https://doi.org/10.1080/17460794.2024.2350247","url":null,"abstract":"","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"37 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141385908","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}
Aim: This study focuses on the nonlinear characteristics of two linearly stable equilibrium states within a theoretical hand, foot and mouth disease (HFMD) dynamics model. Methods: The conditional nonlinear optimal perturbation method, the Lyapunov method and the linear singular vector method are employed. Results: By utilizing the conditional nonlinear optimal perturbation method, it is determined that the two linearly stable equilibrium states (namely the free disease and disease HFMD states) also exhibit nonlinear stability. It is found that the stabilities of the free disease and disease HFMD equilibrium states differ in terms of returning to their original states. Conclusion: It is discovered that nonlinearity plays a crucial role in reinstating the original equilibrium states.
{"title":"Role of nonlinear transmission term in stability of hand, foot and mouth disease dynamics","authors":"Xiaofang Liu, Lvping Lin, Xu Gao, Yuping Li, Shangyu Teng, Guodong Sun","doi":"10.2217/fvl-2023-0198","DOIUrl":"https://doi.org/10.2217/fvl-2023-0198","url":null,"abstract":"Aim: This study focuses on the nonlinear characteristics of two linearly stable equilibrium states within a theoretical hand, foot and mouth disease (HFMD) dynamics model. Methods: The conditional nonlinear optimal perturbation method, the Lyapunov method and the linear singular vector method are employed. Results: By utilizing the conditional nonlinear optimal perturbation method, it is determined that the two linearly stable equilibrium states (namely the free disease and disease HFMD states) also exhibit nonlinear stability. It is found that the stabilities of the free disease and disease HFMD equilibrium states differ in terms of returning to their original states. Conclusion: It is discovered that nonlinearity plays a crucial role in reinstating the original equilibrium states.","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"42 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140672923","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}
Dengcai Zhang, Lihua Zhang, Yanjiong Wang, Guangshu Hao, Zhiyuan Li
Aim: At present, COBAS human papillomavirus (HPV) and Aptima HPV screening are widely used to detect HPV infection. In this study, we compared and analyzed the positive rates of DNA and mRNA (n = 10,128 women). Methods: After HPV screening, colposcopy was performed. Subsequently, pathological analysis was conducted on the screening results. Results: In Aptima HPV 16 group, the proportion of pathological lesions ≥CIN2 was 32.69%, while in COBAS HPV group, it was 24.18% (p < 0.05). Aptima HPV other risk types and COBAS HPV other risk types, the proportion of cases ≥CIN2 was 12.42 and 5.79%, respectively (p < 0.001). Conclusion: The results illustrated that the Aptima HPV test detects more accurately clinically relevant lesions than the COBAS test.
{"title":"Analysis of the application value of HPV mRNA and DNA detection in early screening of cervical lesions","authors":"Dengcai Zhang, Lihua Zhang, Yanjiong Wang, Guangshu Hao, Zhiyuan Li","doi":"10.2217/fvl-2024-0020","DOIUrl":"https://doi.org/10.2217/fvl-2024-0020","url":null,"abstract":"Aim: At present, COBAS human papillomavirus (HPV) and Aptima HPV screening are widely used to detect HPV infection. In this study, we compared and analyzed the positive rates of DNA and mRNA (n = 10,128 women). Methods: After HPV screening, colposcopy was performed. Subsequently, pathological analysis was conducted on the screening results. Results: In Aptima HPV 16 group, the proportion of pathological lesions ≥CIN2 was 32.69%, while in COBAS HPV group, it was 24.18% (p < 0.05). Aptima HPV other risk types and COBAS HPV other risk types, the proportion of cases ≥CIN2 was 12.42 and 5.79%, respectively (p < 0.001). Conclusion: The results illustrated that the Aptima HPV test detects more accurately clinically relevant lesions than the COBAS test.","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689275","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}
Dur E Nishwa, Hafiza Arooba Riaz, Muhammad Salman Tiwana, Ameer Fatima, Braira Wahid
Aim: Our study aimed to assess the response to direct-acting antiviral drugs (DAAs) among hepatitis C virus (HCV)-infected patients who also had other comorbid conditions. Materials & methods: The data was examined based on a variety of categories, encompassing age, gender, liver function enzymes, tumor markers and comorbid conditions. Results: In conclusion, DAAs demonstrated relatively effective results in HCV/hepatitis B virus coinfected patients, with a 78.2% sustained virological response rate, and 55.5% among HCV monoinfected patients in our study sample. However, some challenges remain, as we observed certain adverse effects associated with DAAs. Conclusion: In the past, interferon-based treatment regimens were the primary options against HCV; however, their limited success led to the development of DAAs drugs that reportedly cause adverse outcomes occasionally.
{"title":"Treatment response and adverse effects of direct acting antivirals among HCV patients carrying comorbid conditions","authors":"Dur E Nishwa, Hafiza Arooba Riaz, Muhammad Salman Tiwana, Ameer Fatima, Braira Wahid","doi":"10.2217/fvl-2023-0193","DOIUrl":"https://doi.org/10.2217/fvl-2023-0193","url":null,"abstract":"Aim: Our study aimed to assess the response to direct-acting antiviral drugs (DAAs) among hepatitis C virus (HCV)-infected patients who also had other comorbid conditions. Materials & methods: The data was examined based on a variety of categories, encompassing age, gender, liver function enzymes, tumor markers and comorbid conditions. Results: In conclusion, DAAs demonstrated relatively effective results in HCV/hepatitis B virus coinfected patients, with a 78.2% sustained virological response rate, and 55.5% among HCV monoinfected patients in our study sample. However, some challenges remain, as we observed certain adverse effects associated with DAAs. Conclusion: In the past, interferon-based treatment regimens were the primary options against HCV; however, their limited success led to the development of DAAs drugs that reportedly cause adverse outcomes occasionally.","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":" 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691857","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}
The global pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to ∼6.9 million deaths and affected ∼767 million people globally. The approved vaccines have contributed significantly in reducing disease severity and mortality. However, new infections post vaccination and the lack of specific antivirals have encouraged the research using multiple approaches to design novel therapeutics against COVID-19. Recent studies on the applications of RNAi against coronavirus provide substantial evidence on the prospects of this technique against SARS-CoV-2. Progress in the field of computational analysis and applications of multiple delivery methods also promises safe and effective implementation of RNAi against COVID-19. This review deals with the possible applications and challenges of RNAi against SARS-CoV-2.
{"title":"RNAi-mediated inhibition of SARS-CoV-2: applications and challenges","authors":"Debosmita Sanyal, Binay Chaubey","doi":"10.2217/fvl-2023-0169","DOIUrl":"https://doi.org/10.2217/fvl-2023-0169","url":null,"abstract":"The global pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to ∼6.9 million deaths and affected ∼767 million people globally. The approved vaccines have contributed significantly in reducing disease severity and mortality. However, new infections post vaccination and the lack of specific antivirals have encouraged the research using multiple approaches to design novel therapeutics against COVID-19. Recent studies on the applications of RNAi against coronavirus provide substantial evidence on the prospects of this technique against SARS-CoV-2. Progress in the field of computational analysis and applications of multiple delivery methods also promises safe and effective implementation of RNAi against COVID-19. This review deals with the possible applications and challenges of RNAi against SARS-CoV-2.","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"123 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140708857","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}
Shriya Sharma, Nora Menon, Jose Ruiz, Caitlyn Luce, Lisa Brumble, Anirban Bhattacharya, Rohan Goswami
Aim: Describe the utility of an inverse reinforcement learning pathway to develop a novel model to predict and manage the spread of COVID-19. Materials & methods: Convolutional neural network (CNN) with multilayer perceptron (MLP) modeling functions utilized inverse reinforcement learning to predict COVID-19 outcomes based on a comprehensive array of factors. Results: Our model demonstrates a sensitivity of 0.67 in the receiver operating characteristic curve and can correctly identify approximately 67% of the positive cases. Conclusion: We demonstrate the ability to augment clinical decision-making with a novel artificial intelligence (AI) solution that accurately predicted the susceptibility of transplant patients to COVID-19. This enables physicians to administer treatment and take appropriate preventative measures based on patients' risk factors.
{"title":"Developing a risk prediction model for COVID-19 infection in heart transplant recipients using artificial intelligence","authors":"Shriya Sharma, Nora Menon, Jose Ruiz, Caitlyn Luce, Lisa Brumble, Anirban Bhattacharya, Rohan Goswami","doi":"10.2217/fvl-2023-0162","DOIUrl":"https://doi.org/10.2217/fvl-2023-0162","url":null,"abstract":"Aim: Describe the utility of an inverse reinforcement learning pathway to develop a novel model to predict and manage the spread of COVID-19. Materials & methods: Convolutional neural network (CNN) with multilayer perceptron (MLP) modeling functions utilized inverse reinforcement learning to predict COVID-19 outcomes based on a comprehensive array of factors. Results: Our model demonstrates a sensitivity of 0.67 in the receiver operating characteristic curve and can correctly identify approximately 67% of the positive cases. Conclusion: We demonstrate the ability to augment clinical decision-making with a novel artificial intelligence (AI) solution that accurately predicted the susceptibility of transplant patients to COVID-19. This enables physicians to administer treatment and take appropriate preventative measures based on patients' risk factors.","PeriodicalId":503758,"journal":{"name":"Future Virology","volume":"345 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139848341","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：