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Current Microbiology Jun 2024Chikungunya virus (CHIKV) is a causative agent of a disease continuum, ranging from an acute transient chikungunya fever to chronic incapacitating viral arthralgia. The...
Chikungunya virus (CHIKV) is a causative agent of a disease continuum, ranging from an acute transient chikungunya fever to chronic incapacitating viral arthralgia. The interaction between anti-CHIKV antibodies and the complement system has recently received attention. However, the contribution of complement activation in CHIKV-induced pathologies has not been fully elucidated. The present study was undertaken to delineate the possible contribution of complement activation in CHIKV-induced disease progression. In this study, using plasma specimens of chikungunya patients in the acute, chronic, and recovered phases of infection, we explicated the involvement of complement activation in CHIKV disease progression by ELISAs and Bio-Plex assays. Correlation analysis was carried out to demonstrate interrelation among C1q-binding IgG-containing circulating immune complexes (CIC-C1q), complement activation fragments (C3a, C5a, sC5b-9), and complement-modulated pro-inflammatory cytokines (IL-1β, IL-18, IL-6, and TNF-α). We detected elevated complement activation fragments, CIC-C1q, and complement-modulated cytokines in the varied patient groups compared with the healthy controls, indicating persistent activation of the complement system. Furthermore, we observed statistically significant correlations among CIC-C1q with complement activation fragments and C3a with complement modulatory cytokines IL-1β, IL-6, and IL-18 during the CHIKV disease progression. Taken together, the current data provide insight into the plausible association between CICs, complement activation, subsequent complement modulatory cytokine expression, and CHIKV etiopathology.
Topics: Humans; Complement C1q; Chikungunya Fever; Complement Activation; Antigen-Antibody Complex; Chikungunya virus; Male; Cytokines; Middle Aged; Adult; Female; Antibodies, Viral; Aged; Young Adult
PubMed: 38913141
DOI: 10.1007/s00284-024-03732-7 -
New Microbes and New Infections 2024Avian influenza A H5N1 is a significant global public health threat. Although relevant, systematic reviews about its prevalence in animals are lacking. (Review)
Review
INTRODUCTION
Avian influenza A H5N1 is a significant global public health threat. Although relevant, systematic reviews about its prevalence in animals are lacking.
METHODS
We performed a systematic literature review in bibliographic databases to assess the prevalence of H5N1 in animals. A meta-analysis with a random-effects model was performed to calculate the pooled prevalence and 95 % confidence intervals (95%CI). In addition, measures of heterogeneity (Cochran's Q statistic and I test) were reported.
RESULTS
The literature search yielded 1359 articles, of which 33 studies were fully valid for analysis, including 96,909 animals. The pooled prevalence for H5N1 in birds (n = 90,045, 24 studies) was 5.0 % (95%CI: 4.0-6.0 %; I = 99.21); in pigs (n = 3,178, 4 studies) was 1.0 % (95%CI: 0.0-1.0 %); in cats (n = 2,911, 4 studies) was 0.0 % (95%CI: 0.0-1.0 %); and in dogs (n = 479, 3 studies) was 0.0 % (95%CI: 0.0-2.0 %).
CONCLUSIONS
While the occurrence of H5N1 in animals might be comparatively limited compared to other influenza viruses, its impact on public health can be substantial when it transmits to humans. This virus can potentially induce severe illness and has been linked to previous outbreaks. Therefore, it is essential to closely monitor and comprehend the factors influencing the prevalence of H5N1 in both avian and human populations to develop effective disease control and prevention strategies.
PubMed: 38911488
DOI: 10.1016/j.nmni.2024.101439 -
Poultry Science Jun 2024Migratory wild birds can carry various pathogens, such as influenza A virus, which can spread to globally and cause disease outbreaks and epidemics. Continuous...
Migratory wild birds can carry various pathogens, such as influenza A virus, which can spread to globally and cause disease outbreaks and epidemics. Continuous epidemiological surveillance of migratory wild birds is of great significance for the early warning, prevention, and control of epidemics. To investigate the pathogen infection status of migratory wild birds in eastern China, fecal samples were collected from wetlands to conduct pathogen surveillance. The results showed that duck orthoreovirus (DRV) and goose parvovirus (GPV) nucleic acid were detected positive in the fecal samples collected from wild ducks, egrets, and swan. Phylogenetic analysis of the amplified viral genes reveals that the isolates were closely related to the prevalent strains in the regions involved in East Asian-Australasian (EAA) migratory flyway. Phylogenetic analysis of the amplified viral genes confirmed that they were closely related to circulating strains in the regions involved in the EAA migration pathway. The findings of this study have expanded the host range of the orthoreovirus and parvovirus, and revealed possible virus transmission between wild migratory birds and poultry.
PubMed: 38909506
DOI: 10.1016/j.psj.2024.103940 -
Virus Research Jun 2024High pathogenicity avian influenza viruses (HPAIVs) of the H5N1 and H5N2 subtypes were responsible for 84 HPAI outbreaks on poultry premises in Japan during October...
High pathogenicity avian influenza viruses (HPAIVs) of the H5N1 and H5N2 subtypes were responsible for 84 HPAI outbreaks on poultry premises in Japan during October 2022-April 2023. The number of outbreaks during the winter of 2022-2023 is the largest ever reported in Japan. In this study, we performed phylogenetic analyses using the full genetic sequences of HPAIVs isolated in Japan during 2022-2023 and those obtained from a public database to identify their genetic origin. Based on the hemagglutinin genes, these HPAIVs were classified into the G2 group of clade 2.3.4.4b, whose ancestors were H5 HPAIVs that circulated in Europe in late 2020, and were then further divided into three subgroups (G2b, G2d, and G2c). Approximately one-third of these viruses were classified into the G2b and G2d groups, which also included H5N1 HPAIVs detected in Japan during 2021-2022. In contrast, the remaining two-thirds were classified into the G2c group, which originated from H5N1 HPAIVs isolated in Asian countries and Russia during the winter of 2021-2022. Unlike the G2b and G2d viruses, the G2c viruses were first detected in Japan in the fall of 2022. Importantly, G2c viruses caused the largest number of outbreaks throughout Japan over the longest period during the season. Phylogenetic analyses using eight segment genes revealed that G2b, G2d, and G2c viruses were divided into 2, 4, and 11 genotypes, respectively, because they have various internal genes closely related to those of avian influenza viruses detected in wild birds in recent years in Asia, Russia, and North America, respectively. These results suggest that HPAIVs were disseminated among migratory birds, which may have generated numerous reassortant viruses with various gene constellations, resulting in a considerable number of outbreaks during the winter of 2022-2023.
PubMed: 38906223
DOI: 10.1016/j.virusres.2024.199425 -
Euro Surveillance : Bulletin Europeen... Jun 2024
Topics: Humans; Influenza, Human; Finland; Influenza in Birds; Influenza Vaccines; Animals; Vaccination; Birds; One Health; Influenza A Virus, H5N1 Subtype
PubMed: 38904113
DOI: 10.2807/1560-7917.ES.2024.29.25.2400383 -
Euro Surveillance : Bulletin Europeen... Jun 2024Highly pathogenic avian influenza (HPAI) has caused widespread mortality in both wild and domestic birds in Europe 2020-2023. In July 2023, HPAI A(H5N1) was detected on...
Highly pathogenic avian influenza (HPAI) has caused widespread mortality in both wild and domestic birds in Europe 2020-2023. In July 2023, HPAI A(H5N1) was detected on 27 fur farms in Finland. In total, infections in silver and blue foxes, American minks and raccoon dogs were confirmed by RT-PCR. The pathological findings in the animals include widespread inflammatory lesions in the lungs, brain and liver, indicating efficient systemic dissemination of the virus. Phylogenetic analysis of Finnish A(H5N1) strains from fur animals and wild birds has identified three clusters (Finland I-III), and molecular analyses revealed emergence of mutations known to facilitate viral adaptation to mammals in the PB2 and NA proteins. Findings of avian influenza in fur animals were spatially and temporally connected with mass mortalities in wild birds. The mechanisms of virus transmission within and between farms have not been conclusively identified, but several different routes relating to limited biosecurity on the farms are implicated. The outbreak was managed in close collaboration between animal and human health authorities to mitigate and monitor the impact for both animal and human health.
Topics: Animals; Influenza in Birds; Phylogeny; Finland; Influenza A Virus, H5N1 Subtype; Animals, Wild; Charadriiformes; Disease Outbreaks; Farms; Orthomyxoviridae Infections; Foxes; Birds; Mink
PubMed: 38904109
DOI: 10.2807/1560-7917.ES.2024.29.25.2400063 -
Scientific Reports Jun 2024The wild to domestic bird interface is an important nexus for emergence and transmission of highly pathogenic avian influenza (HPAI) viruses. Although the recent...
The wild to domestic bird interface is an important nexus for emergence and transmission of highly pathogenic avian influenza (HPAI) viruses. Although the recent incursion of HPAI H5N1 Clade 2.3.4.4b into North America calls for emergency response and planning given the unprecedented scale, readily available data-driven models are lacking. Here, we provide high resolution spatial and temporal transmission risk models for the contiguous United States. Considering virus host ecology, we included weekly species-level wild waterfowl (Anatidae) abundance and endemic low pathogenic avian influenza virus prevalence metrics in combination with number of poultry farms per commodity type and relative biosecurity risks at two spatial scales: 3 km and county-level. Spillover risk varied across the annual cycle of waterfowl migration and some locations exhibited persistent risk throughout the year given higher poultry production. Validation using wild bird introduction events identified by phylogenetic analysis from 2022 to 2023 HPAI poultry outbreaks indicate strong model performance. The modular nature of our approach lends itself to building upon updated datasets under evolving conditions, testing hypothetical scenarios, or customizing results with proprietary data. This research demonstrates an adaptive approach for developing models to inform preparedness and response as novel outbreaks occur, viruses evolve, and additional data become available.
Topics: Animals; Influenza in Birds; Animals, Wild; Influenza A Virus, H5N1 Subtype; Disease Outbreaks; Poultry; Birds; United States; Phylogeny; Animal Migration
PubMed: 38902400
DOI: 10.1038/s41598-024-64912-w -
BMJ (Clinical Research Ed.) Jun 2024
Topics: Animals; Milk; Humans; Influenza, Human; Influenza in Birds; Influenza A Virus, H5N1 Subtype
PubMed: 38901874
DOI: 10.1136/bmj.q1331 -
The Journal of Infection Jun 2024The sustained circulation of H9N2 avian influenza viruses (AIVs) poses a significant threat for contributing to a new pandemic. Given the temporal and spatial...
The sustained circulation of H9N2 avian influenza viruses (AIVs) poses a significant threat for contributing to a new pandemic. Given the temporal and spatial uncertainty in the antigenicity of H9N2 AIVs, the immune protection efficiency of vaccines remains challenging. By developing an antigenicity prediction method for H9N2 AIVs, named PREDAC-H9, the global antigenic landscape of H9N2 AIVs was mapped. PREDAC-H9 utilizes the XGBoost model with 14 well-designed features. The XGBoost model was built and evaluated to predict the antigenic relationship between any two viruses with high values of 81.1 %, 81.4 %, 81.3 %, 81.1 %, and 89.4 % in accuracy, precision, recall, F1 value, and area under curve (AUC), respectively. Then the antigenic correlation network (ACnet) was constructed based on the predicted antigenic relationship for H9N2 AIVs from 1966 to 2022, and ten major antigenic clusters were identified. Of these, four novel clusters were generated in China in the past decade, demonstrating the unique complex situation there. To help tackle this situation, we applied PREDAC-H9 to calculate the cluster-transition determining sites and screen out virus strains with the high cross-protective spectrum, thus providing an in silico reference for vaccine recommendation. The proposed model will reduce the clinical monitoring workload and provide a useful tool for surveillance and control of H9N2 AIVs.
PubMed: 38901571
DOI: 10.1016/j.jinf.2024.106199 -
The American Journal of Nursing Jul 2024Government agencies are monitoring for potential threat to humans.
Government agencies are monitoring for potential threat to humans.
Topics: Humans; Disease Outbreaks; Influenza, Human; Influenza in Birds; Animals; United States; Birds
PubMed: 38900113
DOI: 10.1097/01.NAJ.0001025608.97820.78