Displaying publications 1 - 20 of 83 in total

Abstract:
Sort:
  1. Wang G, Sabran K
    Sci Rep, 2024 Feb 02;14(1):2759.
    PMID: 38308079 DOI: 10.1038/s41598-024-53292-w
    It has been well established that pandemics affect mental health, yet few studies have been conducted in China regarding this issue following COVID-19's gradual decline and the recent H1N1 influenza outbreak. In response to this research gap, this investigation explores the risk factors linked to depression and anxiety symptoms among young adults in this specific setting. Data were collected via an online cross-sectional survey of 385 young adults living in Anyang city, Henan Province, China, between June 15 and July 21, 2023. Respondents were assessed for anxiety and depression symptoms using the GAD-7 and PHQ-9 scales. Additionally, to examine the factors that influenced the study, we utilized an ordered logit regression model. Results revealed depression and anxiety prevalence rates of 33.3% and 21.6%, respectively. Several factors were found to increase the likelihood of depression and anxiety among young adults, including gender, age, education status, marital status, and attitudes towards epidemics. Participants' concerns about pandemics and viruses had a significant negative impact relationship on depression levels. Women report moderate to severe anxiety more frequently than men. An evident correlation can be observed between the educational attainment level and the influence of depression and anxiety.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  2. Samsudin EZ, Yasin SM, Ruslan NH, Abdullah NN, Noor AFA, Hair AFA
    BMC Infect Dis, 2024 Jan 16;24(1):93.
    PMID: 38229063 DOI: 10.1186/s12879-024-08993-y
    BACKGROUND: Recent pandemics have had far-reaching effects on the world's largest economies and amplified the need to estimate the full extent and range of socioeconomic impacts of infectious diseases outbreaks on multi-sectoral industries. This systematic review aims to evaluate the socioeconomic impacts of airborne and droplet-borne infectious diseases outbreaks on industries.

    METHODS: A structured, systematic review was performed according to the PRISMA guidelines. Databases of PubMed, Scopus, Web of Science, IDEAS/REPEC, OSHLINE, HSELINE, and NIOSHTIC-2 were reviewed. Study quality appraisal was performed using the Table of Evidence Levels from Cincinnati Children's Hospital Medical Center, Joanna Briggs Institute tools, Mixed Methods Appraisal Tool, and Center of Evidence Based Management case study critical appraisal checklist. Quantitative analysis was not attempted due to the heterogeneity of included studies. A qualitative synthesis of primary studies examining socioeconomic impact of airborne and droplet-borne infectious diseases outbreaks in any industry was performed and a framework based on empirical findings was conceptualized.

    RESULTS: A total of 55 studies conducted from 1984 to 2021 were included, reporting on 46,813,038 participants working in multiple industries across the globe. The quality of articles were good. On the whole, direct socioeconomic impacts of Coronavirus Disease 2019, influenza, influenza A (H1N1), Severe Acute Respiratory Syndrome, tuberculosis and norovirus outbreaks include increased morbidity, mortality, and health costs. This had then led to indirect impacts including social impacts such as employment crises and reduced workforce size as well as economic impacts such as demand shock, supply chain disruptions, increased supply and production cost, service and business disruptions, and financial and Gross Domestic Product loss, attributable to productivity losses from illnesses as well as national policy responses to contain the diseases.

    CONCLUSIONS: Evidence suggests that airborne and droplet-borne infectious diseases have inflicted severe socioeconomic costs on regional and global industries. Further research is needed to better understand their long-term socioeconomic impacts to support improved industry preparedness and response capacity for outbreaks. Public and private stakeholders at local, national, and international levels must join forces to ensure informed systems and sector-specific cost-sharing strategies for optimal global health and economic security.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  3. Ali U, Zainal M, Zainol Z, Tai CW, Tang SF, Lee PC, et al.
    Malays J Pathol, 2023 Aug;45(2):215-227.
    PMID: 37658531
    INTRODUCTION: Acute respiratory infection (ARI) contributes to significant mortality and morbidity worldwide and is usually caused by a wide range of respiratory pathogens. This study aims to describe the performance of QIAstat-Dx® Respiratory Panel V2 (RP) and RespiFinder® 2SMART assays for respiratory pathogens detection.

    MATERIALS AND METHODS: A total of 110 nasopharyngeal swabs (NPS) were collected from children aged one month to 12 years old who were admitted with ARI in UKMMC during a one-year period. The two qPCR assays were conducted in parallel.

    RESULTS: Ninety-seven samples (88.2%) were positive by QIAstat-Dx RP and 86 (78.2%) by RespiFinder assay. The overall agreement on both assays was substantial (kappa value: 0.769) with excellent concordance rate of 96.95%. Using both assays, hRV/EV, INF A/H1N1 and RSV were the most common pathogens detected. Influenza A/H1N1 infection was significantly seen higher in older children (age group > 60 months old) (53.3%, p-value < 0.05). Meanwhile, RSV and hRV/EV infection were seen among below one-year-old children. Co-infections by two to four pathogens were detected in 17 (17.5%) samples by QIAstat-Dx RP and 12 (14%) samples by RespiFinder, mainly involving hRV/EV. Bacterial detection was observed only in 5 (4.5%) and 6 (5.4%) samples by QIAstat-Dx RP and RespiFinder, respectively, with Mycoplasma pneumoniae the most common detected.

    CONCLUSION: The overall performance of the two qPCR assays was comparable and showed excellent agreement. Both detected various clinically important respiratory pathogens in a single test with simultaneous multiple infection detection. The use of qPCR as a routine diagnostic test can improve diagnosis and management.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  4. Gopinath SCB, Ismail ZH, Sekiguchi K
    Biotechnol Appl Biochem, 2022 Dec;69(6):2507-2516.
    PMID: 34894363 DOI: 10.1002/bab.2300
    The current world condition is dire due to epidemics and pandemics as a result of novel viruses, such as influenza and the coronavirus, causing acute respiratory syndrome. To overcome these critical situations, the current research seeks to generate a common surveillance system with the assistance of a controlled Internet of Things operated under a Gaussian noise channel. To create the model system, a study with an analysis of H1N1 influenza virus determination on an interdigitated electrode (IDE) sensor was validated by current-volt measurements. The preliminary data were generated using hemagglutinin as the target against gold-conjugated aptamer/antibody as the probe, with the transmission pattern showing consistency with the Gaussian noise channel algorithm. A good fit with the algorithmic values was found, displaying a similar pattern to that output from the IDE, indicating reliability. This study can be a model for the surveillance of varied pathogens, including the emergence and reemergence of novel strains.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  5. Tochilina AG, Belova IV, Ilyicheva TN, Marchenko VY, Zhirnov VA, Molodtsova SB, et al.
    Sovrem Tekhnologii Med, 2022;14(5):36-43.
    PMID: 37181836 DOI: 10.17691/stm2022.14.5.04
    The aim of the study was to analyze the genome features of the probiotic strains Bifidobacterium longum 379, Bifidobacterium bifidum 1, and Bifidobacterium bifidum 791 and study their antiviral activity.

    MATERIALS AND METHODS: Whole genome sequencing of three strains of bifidobacteria was performed on the MiSeq platform (Illumina Inc., USA). The genomes were annotated using the Prokka v. 1.11 utility and RAST genomic server. The individual genetic determinants were searched using the ResFinder 3.2, PathogenFinder, PlasmidFinder, RAST, and Bagel 4 software. The antiviral activity of the strains against influenza A viruses was studied using MDCK cells (Madin-Darby canine kidney cells), the epidemic strain of influenza A/Lipetsk/1V/2018 (H1N1 pdm09) (EPI_ISL_332798), the highly pathogenic avian influenza virus A/common gull/Saratov/1676/2018 (H5N6) strain (EPI_ISL_336925), and neutral red vital dye.

    RESULTS: The genomes of all studied strains contained determinants responsible for utilization of carbohydrates of plant origin; the genes of key enzymes for the synthesis of tryptophan and folic acid are present in the genomes of B. longum 379 and B. bifidum 791. A feature of the B. bifidum 791 genome is the presence of determinants responsible for the synthesis of thermostable type I bacteriocins - flavucin and lasso peptide. The B. bifidum 791 strain was found to show pronounced antiviral activity against both the strains of influenza A, the supernatant of which suppressed viral replication in vitro up to a dilution of 1:8, and the cells inhibited viral reproduction up to a concentration of 6·106 CFU/ml.

    CONCLUSION: The analysis of complete genomes of B. longum 379, B. bifidum 1, and B. bifidum 791 showed features that determine their strain-specific properties, the findings on which were previously made empirically based on indirect signs. In the genomes of B. longum 379 and B. bifidum 791 strains, in contrast to B. bifidum 1 strain, key enzymes for the synthesis of tryptophan and folic acid were found. These substances have an impact on the human body in many ways, including having a thymoleptic effect (reducing emotional stress, irritability, anxiety, eliminating lethargy, apathy, melancholy, anxiety) and regulating cognitive activity. The presence of determinants responsible for the synthesis of thermostable type I bacteriocins in the genome of B. bifidum 791 strain determines its pronounced antiviral activity.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  6. Khor SK, Heymann DL
    Lancet Public Health, 2021 06;6(6):e357-e358.
    PMID: 33964228 DOI: 10.1016/S2468-2667(21)00101-8
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  7. Ma NL, Peng W, Soon CF, Noor Hassim MF, Misbah S, Rahmat Z, et al.
    Environ Res, 2021 Feb;193:110405.
    PMID: 33130165 DOI: 10.1016/j.envres.2020.110405
    The recently emerged coronavirus disease (COVID-19), which has been characterised as a pandemic by the World Health Organization (WHO), is impacting all parts of human society including agriculture, manufacturing, and tertiary sectors involving all service provision industries. This paper aims to give an overview of potential host reservoirs that could cause pandemic outbreak caused by zoonotic transmission. Amongst all, continues surveillance in slaughterhouse for possible pathogens transmission is needed to prevent next pandemic outbreak. This paper also summarizes the potential threats of pandemic to agriculture and aquaculture sector that control almost the total food supply chain and market. The history lesson from the past, emerging and reemerging infectious disease including the Severe Acute Respiratory Syndrome (SARS) in 2002, Influenza A H1N1 (swine flu) in 2009, Middle East Respiratory Syndrome (MERS) in 2012 and the recent COVID-19 should give us some clue to improve especially the governance to be more ready for next coming pandemic.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  8. Lombe D, Sullivan R, Caduff C, Ali Z, Bhoo-Pathy N, Cleary J, et al.
    Ecancermedicalscience, 2021;15:1202.
    PMID: 33889211 DOI: 10.3332/ecancer.2021.1202
    Introduction: Public health emergencies and crises such as the current COVID-19 pandemic can accelerate innovation and place renewed focus on the value of health interventions. Capturing important lessons learnt, both positive and negative, is vital. We aimed to document the perceived positive changes (silver linings) in cancer care that emerged during the COVID-19 pandemic and identify challenges that may limit their long-term adoption.

    Methods: This study employed a qualitative design. Semi-structured interviews (n = 20) were conducted with key opinion leaders from 14 countries. The participants were predominantly members of the International COVID-19 and Cancer Taskforce, who convened in March 2020 to address delivery of cancer care in the context of the pandemic. The Framework Method was employed to analyse the positive changes of the pandemic with corresponding challenges to their maintenance post-pandemic.

    Results: Ten themes of positive changes were identified which included: value in cancer care, digital communication, convenience, inclusivity and cooperation, decentralisation of cancer care, acceleration of policy change, human interactions, hygiene practices, health awareness and promotion and systems improvement. Impediments to the scale-up of these positive changes included resource disparities and variation in legal frameworks across regions. Barriers were largely attributed to behaviours and attitudes of stakeholders.

    Conclusion: The COVID-19 pandemic has led to important value-based innovations and changes for better cancer care across different health systems. The challenges to maintaining/implementing these changes vary by setting. Efforts are needed to implement improved elements of care that evolved during the pandemic.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  9. Do TD, Gui MM, Ng KY
    PeerJ, 2021;9:e10806.
    PMID: 33604187 DOI: 10.7717/peerj.10806
    This article presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the effectiveness of the various levels of control actions taken to flatten the curve can be better quantified and understood. This in turn can help the relevant authorities to better plan for and control the subsequent waves of the pandemic. To achieve this, a deterministic population model for the pandemic is firstly developed to take into consideration the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measures used to describe the transmission dynamics of this pandemic. The reproduction number alongside other key parameters of the model can then be estimated by fitting the model to real-world data using numerical optimisation techniques or by inducing ad-hoc control actions as recorded in the news platforms. In this article, the model is verified using a case study based on the data from the first wave of COVID-19 in the Republic of Kazakhstan. The model is fitted to provide estimates for two settings in simulations; time-invariant and time-varying (with bounded constraints) parameters. Finally, some forecasts are made using four scenarios with time-dependent control measures so as to determine which would reflect on the actual situations better.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  10. Roychoudhury S, Das A, Sengupta P, Dutta S, Roychoudhury S, Choudhury AP, et al.
    PMID: 33333995 DOI: 10.3390/ijerph17249411
    The twenty-first century has witnessed some of the deadliest viral pandemics with far-reaching consequences. These include the Human Immunodeficiency Virus (HIV) (1981), Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) (2002), Influenza A virus subtype H1N1 (A/H1N1) (2009), Middle East Respiratory Syndrome Coronavirus (MERS-CoV) (2012) and Ebola virus (2013) and the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) (2019-present). Age- and gender-based characterizations suggest that SARS-CoV-2 resembles SARS-CoV and MERS-CoV with regard tohigher fatality rates in males, and in the older population with comorbidities. The invasion-mechanism of SARS-CoV-2 and SARS-CoV, involves binding of its spike protein with angiotensin-converting enzyme 2 (ACE2) receptors; MERS-CoV utilizes dipeptidyl peptidase 4 (DPP4), whereas H1N1 influenza is equipped with hemagglutinin protein. The viral infections-mediated immunomodulation, and progressive inflammatory state may affect the functions of several other organs. Although no effective commercial vaccine is available for any of the viruses, those against SARS-CoV-2 are being developed at an unprecedented speed. Until now, only Pfizer/BioNTech's vaccine has received temporary authorization from the UK Medicines and Healthcare products Regulatory Agency. Given the frequent emergence of viral pandemics in the 21st century, proper understanding of their characteristics and modes of action are essential to address the immediate and long-term health consequences.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  11. Mohammed A, Velu AB, Al-Hakami AM, Meenakshisundaram B, Esther P, Abdelwahid SA, et al.
    Trop Biomed, 2020 Dec 01;37(4):1062-1073.
    PMID: 33612758 DOI: 10.47665/tb.37.4.1062
    Pandemic H1N1 influenza virus respiratory illness has become an inevitable global health concern. With antigenic drift, it becomes necessary to have drugs over tailor-made HIN1 vaccine every year. In the current study, we screened many Piperine derivative in which, N-5-(3,4-dimethoxyphenyl)-2E,4E-pentadienylpiperidine (AB05) and was further studied for anti-H1N1influenza virus activity and compared with other stains in-vitro on MDCK cell line. Initial cytotoxic doses of AB05 for the MDCK cell line were > 25µM. The results showed a dose-dependent reduction of the viral plaque's in the adsorption assay with EC50 of 0.33 µM. The mechanism of AB05 was by inhibition of matured viral release as evaluated by the time of virus addition with incubation of 6-10 hours. With the promising H1N1 virucidal activity of AB05, we included various strains of human influenza virus to screen AB05 inhibition of Neuraminidase (NA). The result showed 70% NA inhibition in WSN (H1N1), 90% in H3N2 and Influenza B and 49% in Tamiflu resistant H1N1). Further our In silco docking studies substantiated experimental results by showing the difference in binding and cooperation between H1N1 and N3N2. Together these observations illustrate that Piperine derivative AB05 is a promising lead molecule which needs further evaluation in animal models.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/drug effects*
  12. Algamal ZY, Qasim MK, Lee MH, Ali HTM
    SAR QSAR Environ Res, 2020 Nov;31(11):803-814.
    PMID: 32938208 DOI: 10.1080/1062936X.2020.1818616
    High-dimensionality is one of the major problems which affect the quality of the quantitative structure-activity relationship (QSAR) modelling. Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. In this paper, four new transfer functions were adapted to improve the exploration and exploitation capability of the BGOA in QSAR modelling of influenza A viruses (H1N1). The QSAR model with these new quadratic transfer functions was internally and externally validated based on MSEtrain, Y-randomization test, MSEtest, and the applicability domain (AD). The validation results indicate that the model is robust and not due to chance correlation. In addition, the results indicate that the descriptor selection and prediction performance of the QSAR model for training dataset outperform the other S-shaped and V-shaped transfer functions. QSAR model using quadratic transfer function shows the lowest MSEtrain. For the test dataset, proposed QSAR model shows lower value of MSEtest compared with the other methods, indicating its higher predictive ability. In conclusion, the results reveal that the proposed QSAR model is an efficient approach for modelling high-dimensional QSAR models and it is useful for the estimation of IC50 values of neuraminidase inhibitors that have not been experimentally tested.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/enzymology*
  13. Ishaqui AA, Khan AH, Syed Sulaiman SA, Alsultan M, Khan I
    Pak J Pharm Sci, 2020 Jul;33(4(Supplementary)):1763-1770.
    PMID: 33612459
    Secondary bacterial infection is considered as a major complication associated with severe Influenza-A (H1N1)pdm09 infection responsible for the mortalities and morbidities worldwide. Use of antibiotics in viral Influenza infection is still debatable. All the confirmed diagnosed hospitalized Influenza-A (H1N1)pdm09 infection patients fulfilling inclusion/exclusion criteria during the study period were divided into two groups based on drug therapy for initial 72 hours. Group-1 included those patients who received oral oseltamivir alone while Group-2 included patients who were initiated on oseltamivir in combination with empiric cephalosporin antibiotic within 6-8 hours after hospitalization. The patients of both groups were assessed for incidences of various complication associated with Influenza-A (H1N1)pdm09 infection. A total of 227 and 116 patients were enrolled for Group-1 and Group-2 respectively. The incidences of secondary bacterial infections were significantly less (P<0.05). Moreover, length of stay in hospitalization, need of ICU admission, multiple organ failure and need of respiratory support were also significantly less (P<0.05) for Group-2 patients. Majority of patients that suffered complications were unvaccinated and aged more than 50 years with multiple comorbidities. Among cephalosporins, cefuroxime was found to be least effective in prevention of Influenza associated complications. Early initiation of empiric antibiotic therapy in combination with oseltamivir can prevent complications associated with Influenza-A (H1N1)pdm09 infection especially in elderly and unvaccinated high risk patients. Different combinations of antibiotics and antiviral medications need to be analysed for the prevention of severe Influenza infection complications.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  14. Ishaqui AA, Khan AH, Sulaiman SAS, Alsultan MT, Khan I, Naqvi AA
    Expert Rev Respir Med, 2020 05;14(5):533-541.
    PMID: 32053044 DOI: 10.1080/17476348.2020.1730180
    Objectives: This study aimed to assess the efficacy of oseltamivir-Azithromycin combination therapy for prevention of Influenza-A (H1N1)pdm09 infection associated complications and early relief of influenza symptoms.Methods: In a retrospective observational cohort study, Influenza-A (H1N1)pdm09 infection hospitalized patients were identified and divided into two groups based on the initial therapy. Group-AV patients were initiated on Oseltamivir without any antibiotic in treatment regimen while Group-AV+AZ patients were initiated on Oseltamivir and Azithromycin combination therapy for at least 3-5 days. Patients were evaluated for different clinical outcomes.Results: A total of 227 and 102 patients were identified for Group-AV and Group-AV+AZ respectively. Multivariate regression analysis showed that incidences of secondary bacterial infections were significantly less frequent (23.4% vs 10.4%; P-value = 0.019) in Group-AV+AZ patients. Group-AV+AZ patients were associated with shorter length of hospitalization (6.58 vs 5.09 days; P-value = <0.0001) and less frequent incidences of respiratory support (38.3% vs 17.6%; P-value = 0.016). Overall influenza symptom severity score was statistically significant less for Group-AV+AZ patients on Day-5 (10.68 ± 2.09; P-value = 0.001) of hospitalization.Conclusion: Oseltamivir-Azithromycin combination therapy was found to be more efficacious as compared to oseltamivir alone in rapid recovery and prevention of Influenza associated complications especially in high risk patients.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  15. Xi S, Li Y, Yue L, Gong Y, Qian L, Liang T, et al.
    Front Pharmacol, 2020;11:582322.
    PMID: 33192523 DOI: 10.3389/fphar.2020.582322
    Viral pneumonia is one kind of acute respiratory tract infection caused by the virus. There have been many outbreaks of viral pneumonia with high contagiousness and mortality both in China and abroad, such as the great influenza in 1918, the severe acute respiratory syndrome (SARS) coronavirus in 2003, the Influenza A (H1N1) virus in 2009, and the Middle East Respiratory Syndrome coronavirus (MERS-CoV) in 2012 and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019. These outbreaks and/or pandemic have significant impact on human life, social behaviors, and economic development. Moreover, no specific drug has been developed for these viruses. Traditional Chinese medicine (TCM) plays an important role in the treatment of viral pneumonia during these outbreaks especially in SARS and SARS-CoV-2 because studies suggest that TCM formulations may target several aspects of the disease and may have lesser side effects than manufactured pharmaceuticals. In recent years, a lot of clinicians and researchers have made a series of in-depth explorations and investigations on the treatment of viral pneumonia with TCM, which have understood TCM therapeutic mechanisms more specifically and clearly. But critical analysis of this research in addition to further studies are needed to assess the potential of TCM in the treatment of viral pneumonia.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  16. Rahim AA, Chacko TV
    Indian J Public Health, 2019 9 26;63(3):261-264.
    PMID: 31552860 DOI: 10.4103/ijph.IJPH_117_19
    Asia Pacific region has been witnessing numerous public health emergencies in recent years with the Nipah outbreak in North Kerala (2018), India, needs special mention. Threats posed and experiences gained have compelled health systems to draft frameworks nationally and internationally for preparedness, outbreak response, and recovery. Our failure to obtain comprehensive guiding frameworks for application in the Indian context for Ebola, Severe Acute Respiratory Syndrome, Influenza A (H1N1), and Nipah outbreaks led us to the search outside India for frameworks that have worked in the past. A thorough review of the WHO, Centers for Disease Control and Prevention, and Malaysian framework was done to identify explicit components and replicable objectives to the national context. In the absence of a specific framework, Nipah recovery and response experience that worked in Kerala outbreak (2018) was compared against novel H1N1 (2015) guidelines at national level. This article provides the groundwork and insights as a value addition toward an India-specific framework of action for response and recovery for Nipah outbreaks in future.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  17. Ong HK, Yong CY, Tan WS, Yeap SK, Omar AR, Razak MA, et al.
    Vaccines (Basel), 2019 08 19;7(3).
    PMID: 31430965 DOI: 10.3390/vaccines7030091
    Current seasonal influenza A virus (IAV) vaccines are strain-specific and require annual reconstitution to accommodate the viral mutations. Mismatches between the vaccines and circulating strains often lead to high morbidity. Hence, development of a universal influenza A vaccine targeting all IAV strains is urgently needed. In the present study, the protective efficacy and immune responses induced by the extracellular domain of Matrix 2 protein (M2e) displayed on the virus-like particles of Macrobrachium rosenbergii nodavirus (NvC-M2ex3) were investigated in BALB/c mice. NvC-M2ex3 was demonstrated to be highly immunogenic even in the absence of adjuvants. Higher anti-M2e antibody titers corresponded well with increased survival, reduced immunopathology, and morbidity of the infected BALB/c mice. The mice immunized with NvC-M2ex3 exhibited lower H1N1 and H3N2 virus replication in the respiratory tract and the vaccine activated the production of different antiviral cytokines when they were challenged with H1N1 and H3N2. Collectively, these results suggest that NvC-M2ex3 could be a potential universal influenza A vaccine.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  18. Ishaqui AA, Khan AH, Syed Sulaiman SA, Alsultan MT, Khan I, Al Nami H
    Pak J Pharm Sci, 2019 May;32(3 (Supplementary)):1225-1233.
    PMID: 31326884
    The aim of the study is to assess and compare the impact of antiviral drug alone and in combination with antibiotic for prevention of Influenza-A H1N1 induced acute kidney injury (AKI) in hospitalized patients. Hospitalized admitted patients with confirmed diagnosis of Influenza-A H1N1 infection were divided into two groups: group 1, which received antiviral (oseltamivir) drug alone and group 2, which received antiviral (oseltamivir) in combination with empirically prescribed antibiotic. Patients of both groups were assessed for incidences of AKI by two criteria i.e Acute Kidney Injury Network (AKIN) and RIFLE. A total of 329 patients (176 for group 1 and 153 for group 2) were enrolled. According to RIFLE criteria, 23(13%) of group 1 and 9(6%) patients of groups 2 were suffered from AKI with statistically significant difference (P<0.05). Also as per AKIN criteria, the incidence of AKI is statistically significantly difference (P<0.05) between both groups with 18(10%) patients and 6(4%) patients of group 1 and 2 respectively. Length of hospitalization was statistically less (P<0.05) in group 2 patients. The incidences of AKI in Influenza-A H1N1 treated with antiviral and antibiotic combination was statistically less as compared to patients who were given antiviral alone for treatment of influenza infection.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  19. Ishaqui AA, Khan AH, Syed Sulaiman SA, Alsultan MT, Khan I, Al Nami H
    Pak J Pharm Sci, 2019 May;32(3 (Supplementary)):1225-1233.
    PMID: 31303595
    The aim of the study is to assess and compare the impact of antiviral drug alone and in combination with antibiotic for prevention of Influenza-A H1N1 induced acute kidney injury (AKI) in hospitalized patients. Hospitalized admitted patients with confirmed diagnosis of Influenza-A H1N1 infection were divided into two groups: group 1, which received antiviral (oseltamivir) drug alone and group 2, which received antiviral (oseltamivir) in combination with empirically prescribed antibiotic. Patients of both groups were assessed for incidences of AKI by two criteria i.e Acute Kidney Injury Network (AKIN) and RIFLE. A total of 329 patients (176 for group 1 and 153 for group 2) were enrolled. According to RIFLE criteria, 23(13%) of group 1 and 9(6%) patients of groups 2 were suffered from AKI with statistically significant difference (P<0.05). Also as per AKIN criteria, the incidence of AKI is statistically significantly difference (P<0.05) between both groups with 18(10%) patients and 6(4%) patients of group 1 and 2 respectively. Length of hospitalization was statistically less (P<0.05) in group 2 patients. The incidences of AKI in Influenza-A H1N1 treated with antiviral and antibiotic combination was statistically less as compared to patients who were given antiviral alone for treatment of influenza infection.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/pathogenicity
  20. Lwin S, San Yi M, Shi Leong M, Suharjono H, Moe Nwe T
    Case Rep Obstet Gynecol, 2019;2019:2470352.
    PMID: 31139480 DOI: 10.1155/2019/2470352
    The influenza virus is RNA virus and is classified into four subtypes, influenza A, influenza B, influenza C, and influenza D. One of the subtypes of influenza A, the H1N1 strain, also known as swine flu, is especially of high risk for development of complications in pregnant women. The influenza A virus infection is difficult to diagnose clinically because its presenting symptoms are similar to those of the common cold but are more severe, last longer, and can be potentially life-threatening. This case also presented with common cold symptoms but her condition worsened later. Fortunately, obstetric health providers were vigilant enough to address the developing infection and its related complications. It was the cooperative effort of multidisciplinary team care which resulted in a favourable outcome in both mother and baby.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links