Grazia Pavia, Fabio Scarpa, Alessandra Ciccozzi, Chiara Romano, Francesco Branda, Angela Quirino, Nadia Marascio, Giovanni Matera, Daria Sanna, Massimo Ciccozzi
{"title":"流感病毒的变化与进化:这是一场微不足道的流感吗?","authors":"Grazia Pavia, Fabio Scarpa, Alessandra Ciccozzi, Chiara Romano, Francesco Branda, Angela Quirino, Nadia Marascio, Giovanni Matera, Daria Sanna, Massimo Ciccozzi","doi":"10.1159/000538382","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Influenza viruses are etiological agents which cause contagious respiratory, seasonal epidemics and, for influenza A subtypes, pandemics. The clinical picture of influenza has undergone continuous change over the years, due to intrinsic viral evolution as well as \"reassortment\" of its genomic segments. The history of influenza highlights its ability to adapt and to rapidly evolve, without specific circumstances. This reflects the complexity of this pathology and poses the fundamental question about its assumption as a \"common illness\" and its impact on public health.</p><p><strong>Summary: </strong>The global influenza epidemics and pandemics claimed millions of deaths, leaving an indelible mark on public health and showing the need for a better comprehension of the influenza virus. The clear understanding of genetic variations during the influenza seasonal epidemics is a crucial point for developing effective strategies for prevention, treatment, and vaccine design. The recent advance in next-generation sequencing approaches, model systems to virus culture, and bioinformatics pipeline played a key role in the rapid characterization of circulating influenza strains. In particular, the increase in computational power allowed the performance of complex tasks in healthcare settings through machine learning algorithms, which analyze different variables, such as medical and laboratory outputs, to optimize medical research and improve public health systems. The early detection of emerging and reemerging pathogens is a matter of importance to prevent future pandemics.</p><p><strong>Key messages: </strong>The perception of influenza as a \"trivial flu\" or a more serious public health concern is a subject of ongoing debate, reflecting the multifaceted nature of this infectious disease. The variability in the severity of influenza sheds light on the unpredictability of the viral characteristics, coupled with the challenges in accurately predicting circulating strains. This adds complexity to the public health burden of influenza and highlights the need for targeted interventions.</p>","PeriodicalId":10047,"journal":{"name":"Chemotherapy","volume":" ","pages":"185-193"},"PeriodicalIF":2.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changing and Evolution of Influenza Virus: Is It a Trivial Flu?\",\"authors\":\"Grazia Pavia, Fabio Scarpa, Alessandra Ciccozzi, Chiara Romano, Francesco Branda, Angela Quirino, Nadia Marascio, Giovanni Matera, Daria Sanna, Massimo Ciccozzi\",\"doi\":\"10.1159/000538382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Influenza viruses are etiological agents which cause contagious respiratory, seasonal epidemics and, for influenza A subtypes, pandemics. The clinical picture of influenza has undergone continuous change over the years, due to intrinsic viral evolution as well as \\\"reassortment\\\" of its genomic segments. The history of influenza highlights its ability to adapt and to rapidly evolve, without specific circumstances. This reflects the complexity of this pathology and poses the fundamental question about its assumption as a \\\"common illness\\\" and its impact on public health.</p><p><strong>Summary: </strong>The global influenza epidemics and pandemics claimed millions of deaths, leaving an indelible mark on public health and showing the need for a better comprehension of the influenza virus. The clear understanding of genetic variations during the influenza seasonal epidemics is a crucial point for developing effective strategies for prevention, treatment, and vaccine design. The recent advance in next-generation sequencing approaches, model systems to virus culture, and bioinformatics pipeline played a key role in the rapid characterization of circulating influenza strains. In particular, the increase in computational power allowed the performance of complex tasks in healthcare settings through machine learning algorithms, which analyze different variables, such as medical and laboratory outputs, to optimize medical research and improve public health systems. The early detection of emerging and reemerging pathogens is a matter of importance to prevent future pandemics.</p><p><strong>Key messages: </strong>The perception of influenza as a \\\"trivial flu\\\" or a more serious public health concern is a subject of ongoing debate, reflecting the multifaceted nature of this infectious disease. The variability in the severity of influenza sheds light on the unpredictability of the viral characteristics, coupled with the challenges in accurately predicting circulating strains. This adds complexity to the public health burden of influenza and highlights the need for targeted interventions.</p>\",\"PeriodicalId\":10047,\"journal\":{\"name\":\"Chemotherapy\",\"volume\":\" \",\"pages\":\"185-193\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemotherapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000538382\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemotherapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000538382","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/20 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Changing and Evolution of Influenza Virus: Is It a Trivial Flu?
Background: Influenza viruses are etiological agents which cause contagious respiratory, seasonal epidemics and, for influenza A subtypes, pandemics. The clinical picture of influenza has undergone continuous change over the years, due to intrinsic viral evolution as well as "reassortment" of its genomic segments. The history of influenza highlights its ability to adapt and to rapidly evolve, without specific circumstances. This reflects the complexity of this pathology and poses the fundamental question about its assumption as a "common illness" and its impact on public health.
Summary: The global influenza epidemics and pandemics claimed millions of deaths, leaving an indelible mark on public health and showing the need for a better comprehension of the influenza virus. The clear understanding of genetic variations during the influenza seasonal epidemics is a crucial point for developing effective strategies for prevention, treatment, and vaccine design. The recent advance in next-generation sequencing approaches, model systems to virus culture, and bioinformatics pipeline played a key role in the rapid characterization of circulating influenza strains. In particular, the increase in computational power allowed the performance of complex tasks in healthcare settings through machine learning algorithms, which analyze different variables, such as medical and laboratory outputs, to optimize medical research and improve public health systems. The early detection of emerging and reemerging pathogens is a matter of importance to prevent future pandemics.
Key messages: The perception of influenza as a "trivial flu" or a more serious public health concern is a subject of ongoing debate, reflecting the multifaceted nature of this infectious disease. The variability in the severity of influenza sheds light on the unpredictability of the viral characteristics, coupled with the challenges in accurately predicting circulating strains. This adds complexity to the public health burden of influenza and highlights the need for targeted interventions.
期刊介绍:
This journal publishes original research articles and state-of-the-art reviews on all aspects of antimicrobial and antitumor chemotherapy. The results of experimental and clinical investigations into the microbiological and pharmacologic properties of antibacterial, antiviral and antitumor compounds are major topics of publication. Papers selected for the journal offer data concerning the efficacy, toxicology, and interactions of new drugs in single or combined applications. Studies designed to determine the pharmacokinetic and pharmacodynamics properties of similar preparations and comparing their efficacy are also included. Special emphasis is given to the development of drug-resistance, an increasing problem worldwide.