Disease Control Strategies Research Articles

Acyl hydrazone derivatives with trifluoromethylpyridine as potential agrochemical for controlling plant diseases.

Crops are consistently under siege by a multitude of pathogens. These pathogenic microorganisms, including viruses and bacteria, result in substantial reductions in quality and yield globally by inducing detrimental crop diseases, thus posing a significant challenge to global food security. However, the biological activity sepectrumof commercially available pesticides is limitedand the pesticide efficacy is poor, necessitating the urgent development of broad-spectrum and efficient strategies for crop disease prevention and control. The bioassay results revealed that certain target compounds demonstrated outstanding in vivo antiviral efficacy against cucumber mosaic virus and tobacco mosaic virus. In particular, compound D6 showed remarkable antiviral activity against CMV, significantly higher than that of the control agent ningnanmycin. Mechanism of action studies have shown that compound D6 could enhance the activity of defense enzymes and upregulate the expression of genes related to disease resistance, thereby enhancing the antiviral effects in plants. In addition, these compounds displayed superior inhibitory activity against plant bacterial diseases. For Xoo, compound D10 showed an excellent inhibitory effect that was better than that of the control agent bismerthiazol. Scanning electron microscopy and fluorescence double-staining experiments revealed that compound D10 effectively inhibited bacterial growth by disrupting the cell membrane. A series of trifluoromethyl hydrazone derivatives were designed and synthesized, and it was found that they have control effects on plant viruses and bacterial diseases. In addition, this study revealed the mechanism of action of the active compounds and demonstrated their potential as multifunctional crop protectants. © 2024 Society of Chemical Industry.

Wastewater-based effective reproduction number and prediction under the absence of shedding information.

Estimating effective reproduction number (Re) and predicting disease incidences are essential to formulate effective strategies for disease control. Although recent studies developed models for inferring Re from wastewater-based data, they require information on shedding dynamics. Here, we proposed a framework of Re estimation and prediction without shedding information. The framework consists of a space-state model for smoothing wastewater-based data and a renewal equation modified for wastewater-based data. The applicability of the framework was tested with simulated data and real-world data on Influenza A virus (IAV) and SARS-CoV-2 concentration in wastewater in 2022/2023 season in the USA. We confirmed the state-space model effectively fits various simulated epidemic curves and real-world data. In simulations, we found wastewater-based Re (Reww) closely aligns with instantaneous clinical Re when shedding dynamics are rapid. For more prolonged shedding, Reww approximates a smoothed Re over time. We also observed the necessary sampling frequency to trace dynamics of wastewater concentration and Reww accurately in the framework varies depending on the precision of detection methods, the epidemic status, the transmissibility of infectious diseases, and shedding dynamics. By applying our framework to real-world data, we found Reww for SARS-CoV-2 showed similar trend and values to clinically-based Re. Reww for IAV ranged from 0.66 to 1.52 with a clear peak in the winter season, which agrees with previously reported Re. We also succeeded in predicting wastewater concentration in a few weeks from available wastewater-based data. These results indicate that our framework potentially enables near real-time monitoring of approximated Re and prediction of infectious disease dynamics through wastewater surveillance, which limits the delay between infection and reporting. Our framework is useful especially for regions where reliable clinical surveillance is not available and notifiable surveillance is abolished, and can be expanded to multiple infectious diseases that have been detected from wastewater.

Prediction of olive tuberculosis through physicochemical characterisation of Pseudomonas savastanoi and surfaces of different olive tree parts

ABSTRACT This study examined plant–microbe interactions and surface contamination of olive trees by Pseudomonas savastanoi pv. savastanoi, the pathogen causing olive tuberculosis. Using XDLVO theory, we assessed the theoretical adhesion of P. savastanoi B97 cells to the bark, upper, and lower leaf surfaces of four olive cultivars based on physicochemical properties. Contact angle measurements revealed that lower leaf surfaces were more hydrophobic than upper leaf and bark surfaces, with a stronger electron donor character observed on the latter two. Lower leaf surfaces were identified as the preferred site for bacterial adhesion because of higher hydrophobicity. Among the cultivars, Arbicuina DOC and Arbicuina were most susceptible to colonisation. Conversely, cultivars with lower hydrophobicity and stronger electron donor properties, such as Haouzia and Moroccan Picholine, demonstrated greater resistance. These findings suggest that evaluating these properties can inform disease control strategies, promoting sustainable agriculture through resistant cultivars or targeted management of vulnerable surfaces.

Phylogenetic analysis reveals genetic characteristics of orf virus F1L and B2L genes in the Fujian province.

This study investigates the molecular epidemiology of orf virus (ORFV) in the Fujian province in 2024, with the goal of gaining insights that can enhance disease prevention and control strategies. This experimental study was conducted from January 2024 through March 2024. The samples, showing suspected orf lesions, tested positive for ORFV via PCR. The ORFV059 (F1L) and ORFV011 (B2L) genes from these samples were cloned and sequenced. Analysis identified 3 ORFV strains: FJ-2401, FJ-2402, and FJ-2403. For the F1L gene, nucleotide sequence identity ranged from 95.7% to 99.6%, and amino acid identity ranged from 95.0% to 99.7% compared to the reference strain. These strains were closely related to others from Fujian, Guangzhou, and India but differed from the NZ2 reference strain, the German D1701 weak strain, and Chinese vaccine strains, which were in separate branches. For the B2L gene, nucleotide identity ranged from 97.4% to 99.6%, and amino acid identity ranged from 97.1% to 100%. Evolutionary analysis indicated potential recombination events with strains from Fujian, Jilin, and India. The B2L gene showed distinct branching from the German D1701 weak strain, Fujian GO strain, and Chinese vaccine strains, suggesting that current vaccines might be inadequate. Viruses are constantly evolving, and currently available commercial vaccines may not provide sufficient protection against emerging ORFV strains. This underscores the urgent need for updated vaccines and improved management strategies. The study reveals significant genetic diversity and potential recombination in ORFV strains in Fujian, highlighting their divergence from known references.

The functions of DNA methyltransferases during the feeding and development of Haemaphysalis longicornis are potentially associated with lysosome pathways

BackgroundDNA methylation is an epigenetic modification that plays an important role in animal and plant development. Among the diverse types of DNA methylation modifications, methylation of cytosines catalyzed by DNA cytosine methyltransferases (DNMTs) is the most common. Recently, we characterized DNA methyltransferase genes including HlDnmt1 and HlDnmt from the Asian longhorned tick, Haemaphysalis longicornis. However, the dynamic expression and functions of these DNMTs at different developmental stages and feeding statuses of the important vector tick H. longicornis remain unknown.ResultsThe expression levels of HlDnmt1 and HlDnmt were significantly different at the four developmental stages: eggs, larvae, nymphs, and adults, with the highest expression levels observed in the larval stage. HlDnmt1 and HlDnmt showed different expression trends in the midguts, ovary, Malpighian tubules, and salivary glands of engorged adults, with the highest expression of HlDnmt1 observed in the ovary and the lowest in the midguts; HlDnmt expression was the highest in the midguts and the lowest in the Malpighian tubules. After RNA interference, the relative expression of HlDnmt1 and HlDnmt in H. longicornis decreased significantly, resulting in a significant decrease in the biting rate of H. longicornis. RNA-seq revealed that the differentially expressed genes were mainly enriched in the biological processes of peptide biosynthesis and the cell components of ribosomes. Molecular functions were mainly concentrated on oxidoreductase activity, ribosome structure composition, serine-type endopeptidase activity, molecular function regulators, and endopeptidase inhibitor activity. KEGG enrichment analysis showed that the differentially expressed genes were mainly enriched in autophagy and lysosome pathways, amino sugar and nucleotide sugar metabolism, glyceride metabolism, ribosomes, and other pathways.ConclusionsHlDnmt1 and HlDnmt played an important role during development and feeding of H. longicornis, and their functions were potentially associated with lysosome pathways. These results provide basic knowledge for understanding the epigenetic regulation of the development of the tick H. longicornis, which sheds light on control strategies for ticks and tick-borne diseases.

RNA communication between organisms inspires innovative eco-friendly strategies for disease control.

RNA communication between organisms inspires innovative eco-friendly strategies for disease control.

Comprehensive pan-genome analysis of Mycobacterium marinum: insights into genomic diversity, evolution, and pathogenicity

Mycobacteria is a diverse genus that includes both innocuous environmental species and serious pathogens like Mycobacterium tuberculosis, Mycobacterium leprae, and Mycobacterium ulcerans, the causative agents of tuberculosis, leprosy, and Buruli ulcer, respectively. This study focuses on Mycobacterium marinum, a closely related species known for its larger genome and ability to infect ectothermic species and cooler human extremities. Utilizing whole-genome sequencing, we conducted a comprehensive pan-genome analysis of 100 M. marinum strains, exploring genetic diversity and its impact on pathogenesis and host specificity. Our findings highlight significant genomic diversity, with clear distinctions in core, dispensable, and unique genes among the isolates. Phylogenetic analysis revealed a broad distribution of genetic lineages, challenging previous classifications into distinct clusters. Additionally, we examined the synteny and diversity of the virulence factor CpnT, noting a wide range of C-terminal domain variations across strains, which points to potential adaptations in pathogenic mechanisms. This study enhances our understanding of M. marinum's genomic architecture and its evolutionary relationship with other mycobacterial pathogens, providing insights that could inform disease control strategies for M. tuberculosis and other mycobacteria.

Seroprevalence of Mycobacterium avium subsp. paratuberculosis Infections in Small Ruminants in Europe

Paratuberculosis, also known as Johne’s disease, is a granulomatous enteritis in both domestic and wild ruminants caused by the bacterium Mycobacterium avium subsp. paratuberculosis. Understanding the prevalence of this disease in small ruminants is essential for disease control and prevention strategies. A systematic review of the literature was conducted using the PubMed, ScienceDirect and Scopus databases to identify all articles reporting Mycobacterium avium subsp. paratuberculosis (MAP) seroprevalence in sheep and goats in Europe, published from January 2006 to December 2023. The initial search for existing publications reporting systematic reviews and primary studies was carried out by searching the available databases. For the final selection of studies, an initial screen for basic eligibility and a detailed appraisal of quality were performed. After the study selection, the relevant data was extracted. The detailed appraisal generated 21 publications that reported 55 studies, 22 (40.0%) from sheep (12 at the animal-level and 10 at the flock-level) and 28 (50.9%) from goats (17 at the animal-level and 11 at the flock-level), and 5 (9.1%) from mixed small ruminant species at the animal level. In total, 34 (61.8%) were animal-level studies and 21 (38.2%) were flock-level studies. Population and inclusion criteria were highly variable among studies. Sample sizes ranged from 291 to 15,585 animals. Most studies reported testing adult animals (over 24 months of age). Commercial ELISA kits were used in most studies. The highest prevalence was obtained in sheep (100%) in Türkiye, and the lowest was found also in sheep (0.7%) in Austria. Overall, the results suggest that MAP antibodies have been frequently detected among small ruminants in some countries and there is a need for standardisation of case definitions to improve the accuracy of prevalence estimates. Further research is needed to understand the risk factors associated with MAP infection in small ruminants and to develop effective control and prevention strategies.

DNA Barcoding for the Identification of Adult Mosquitoes (Diptera: Culicidae) in Western Australia.

Precise mosquito identification is integral to effective arbovirus surveillance. Nonetheless, the conventional morphological approach to identifying mosquito species is laborious, demands expertise and presents challenges when specimens are damaged. DNA barcoding offers a promising alternative, surmounting challenges inherent in morphological identification. To integrate DNA barcoding into arbovirus surveillance effectively, a robust dataset of mosquito barcode sequences is required. This study established a comprehensive repository of Cytochrome Oxidase I (COI) barcodes, encompassing 177 samples representing 45 mosquito species from southern and northern Western Australia (WA), including 16 species which have not been previously barcoded. The average intraspecific and interspecific genetic distances were 1% and 6.8%, respectively. Anopheles annulipes sensu lato had the highest intraspecific distance at 9.1%, signifying a genetically diverse species. While validating the potential of COI barcodes to accurately differentiate mosquito species, we identified that some species pairs have low COI divergence. This includes Aedes clelandi and Ae. hesperonotius, Tripteroides atripes and Tp. punctolaeralis and Ae. turneri and Ae. stricklandi. In addition, we observed ambiguity in identification of the members of Culex sitiens subgroup (Cx. annulirostris, Cx. palpalis and Cx. sitiens) and three members of Cx. pipiens complex (Cx. australicus, Cx. globocoxitus, Cx. quinquefasciatus). In summary, despite presenting challenges in the identification of some mosquito species, the COI barcode accurately identified most of the species and generated a valuable resource that will support the WA arbovirus surveillance program and enhance public health intervention strategies for mosquito-borne disease control.

Characteristics of vhvp-2 gene distribution and diversity within the Vibrio causing translucent post-larvae disease (TPD)

Translucent post-larva vibriosis (VTPD) in Penaeus vannamei, caused by the virulence factor Vibrio high virulent protein 2 (vhvp-2) gene, poses a significant threat to the shrimp aquaculture industry in China. This study conducted a comprehensive analysis of the vhvp-2 gene distribution and genetic diversity among Vibrio, which play a key role in the pathogenesis of translucent post-larvae disease (TPD). A total of 6281 Vibrio genomes from the NCBI database were screened, revealing the presence of the vhvp-2 gene in 26 strains, predominantly in V. parahaemolyticus, with diverse locations on both plasmids and chromosomes. Comparative analysis of the genomes, plasmids, and the vhvp-2 gene successfully differentiated three distinct clusters of Vibrio species and identified at least two major plasmid groups. However, these plasmid groups did not exhibit the same evolutionary relationships as the host bacteria themselves. The analysis also revealed the conserved presence of the vhvp-2 gene along with genetic variations. Moreover, the widespread presence of antimicrobial resistance genes (ARGs) and virulence factors in Vibrio strains enhances their pathogenicity and poses increased public health risks. The findings underscore the importance of understanding the adaptability, evolution, and ecological characteristics of Vibrio strains harboring vhvp-2 gene. This research provides a scientific foundation for the development of effective disease prevention and control strategies, contributing to the mitigation of TPD’s impact on the shrimp aquaculture industry and supporting its sustainable and healthy growth.

Molecular characterization of Fasciola hepatica obtained from cattle and horse in Central Chile

Liver fluke infection, caused by the trematode Fasciola hepatica, is a parasitic zoonotic disease affecting various mammals, including humans, and has significant implications for public, animal, and ecosystem health. This study provides the first genetic characterization of F. hepatica in Chile, focusing on the complete mitochondrial gene cox1. Samples were collected from two different host species: cattle and horses. Our findings revealed that 70 % of detected haplotypes were found in either cattle or horses, which coincides with their geographical origin. Interestingly, the use of full-length sequences resulted in the identification of 80 % unique sequences, whereas this reduced to 45 % when analyzing the traditionally used short sequences. This underestimation of genetic diversity suggests that broader sequencing efforts might be essential for a more accurate understanding of F. hepatica genetic landscape. This research underscores the importance of understanding the genetic variability in parasites to improve strategies for disease control and treatment.

The TOR signalling pathway in fungal phytopathogens: A target for plant disease control.

Plant diseases caused by fungal phytopathogens have led to significant economic losses in agriculture worldwide. The management of fungal diseases is mainly dependent on the application of fungicides, which are not suitable for sustainable agriculture, human health, and environmental safety. Thus, it is necessary to develop novel targets and green strategies to mitigate the losses caused by these pathogens. The target of rapamycin (TOR) complexes and key components of the TOR signalling pathway are evolutionally conserved in pathogens and closely related to the vegetative growth and pathogenicity. As indicated in recent systems, chemical, genetic, and genomic studies on the TOR signalling pathway, phytopathogens with TOR dysfunctions show severe growth defects and nonpathogenicity, which makes the TOR signalling pathway to be developed into an ideal candidate target for controlling plant disease. In this review, we comprehensively discuss the current knowledge on components of the TOR signalling pathway in microorganisms and the diverse roles of various plant TOR in response to plant pathogens. Furthermore, we analyse a range of disease management strategies that rely on the TOR signalling pathway, including genetic modification technologies and chemical controls. In the future, disease control strategies based on the TOR signalling network are expected to become a highly effective weapon for crop protection.

Friends and Foes: Bacteria of the Hydroponic Plant Microbiome.

Hydroponic greenhouses and vertical farms provide an alternative crop production strategy in regions that experience low temperatures, suboptimal sunlight, or inadequate soil quality. However, hydroponic systems are soilless and, therefore, have vastly different bacterial microbiota than plants grown in soil. This review highlights some of the most prevalent plant growth-promoting bacteria (PGPB) and destructive phytopathogenic bacteria that dominate hydroponic systems. A complete understanding of which bacteria increase hydroponic crop yields and ways to mitigate crop loss from disease are critical to advancing microbiome research. The section focussing on plant growth-promoting bacteria highlights putative biological pathways for growth promotion and evidence of increased crop productivity in hydroponic systems by these organisms. Seven genera are examined in detail, including Pseudomonas, Bacillus, Azospirillum, Azotobacter, Rhizobium, Paenibacillus, and Paraburkholderia. In contrast, the review of hydroponic phytopathogens explores the mechanisms of disease, studies of disease incidence in greenhouse crops, and disease control strategies. Economically relevant diseases caused by Xanthomonas, Erwinia, Agrobacterium, Ralstonia, Clavibacter, Pectobacterium, and Pseudomonas are discussed. The conditions that make Pseudomonas both a friend and a foe, depending on the species, environment, and gene expression, provide insights into the complexity of plant-bacterial interactions. By amalgamating information on both beneficial and pathogenic bacteria in hydroponics, researchers and greenhouse growers can be better informed on how bacteria impact modern crop production systems.

Effector-Mediated Suppression of Programmed Cell Death by Phytophthora palmivora in Oil Palm.

Phytophthora palmivora is the pathogen causing bud rot in oil palm (Elaeis guineensis). This pathogen secretes effector proteins that manipulate host defenses, contributing to disease progression. In this study, we systematically investigated the role of specific effector proteins in suppressing programmed cell death (PCD) in oil palm leaflets. Our approach included using genomic and transcriptomic data from a Colombian P. palmivora isolate alongside the coexpression network of a substantial effector dataset. From this analysis, ten candidate effectors were selected, characterized, and evaluated for their ability to suppress PCD in oil palm leaflets through transient expression via biolistics. Several effectors exhibited significant anti-PCD activity in susceptible and less susceptible oil palm genotypes. Notably, the effectors Avr3F (689), RxLR (1540), and RxLR (1546) demonstrated suppression of PCD in both genotypes, while the other effectors played variable roles in PCD regulation. Phylogenetic analysis further identified distinct clades among the effectors, possibly associated with their functional activities. Additionally, specific motifs, such as RXLR-dEER, K, and Y, appeared to correlate with PCD suppression. This research enhances our understanding of the molecular mechanisms underlying the interaction between P. palmivora effectors and oil palm host responses, highlighting these proteins' genotype-specific regulation of PCD. The findings contribute valuable insights into plant-pathogen interactions and offer potential avenues for targeted disease control strategies in the oil palm industry.

Antimicrobial Functions of Galectins from Fish, Mollusks, and Crustaceans: A Review.

Galectins are a member of the β-galactoside binding protein family, which play a pivotal role in the immune defense of vertebrates as a pattern recognition receptor and occupy an important position in the innate immune system of invertebrates. The study of galectins in aquatic organisms has only recently emerged. Galectins in aquatic animals exhibit agglutination activity toward bacteria, inhibit bacterial growth, and enhance phagocytosis of immune cells. Additionally, some galectins contribute to the antiviral immune defenses of aquatic animals. This review aims to review recent advancements in the antimicrobial mechanisms, molecular structures, and evolution of galectins from fish, mollusks, and crustaceans. The antimicrobial galectins, as crucial components in the innate immune defense, pave new avenues for developing innovative disease control strategies in aquaculture.

Prevalence and virulence profiles of ESBL-producing Escherichia coli in urinary and blood infections in South Korea.

Escherichia coli is a significant pathogen in extraintestinal infections, and ESBL-producing E. coli poses a major clinical challenge due to its antibiotic resistance. This study comprehensively analyzed E. coli isolates from urine and blood samples of patients with urinary tract and bloodstream infections at three major tertiary hospitals in South Korea. The goal was to provide insights into the distribution, antibiotic resistance, and virulence factors of these strains. Our analysis identified CTX-M and TEM as the dominant ESBL types, found in 71.7% and 61.7% of isolates, respectively, with 46.7% showing co-occurrence. Multilocus sequence typing (MLST) revealed the predominance of high-risk clones such as ST131, ST69, ST73, and ST95, with rare sequence types like ST410 and ST405 also identified. The high prevalence of virulence factors, including iutA (80.8%) and kpsMII (74.2%), further highlights the complexity of these strains. In addition, 38.3% of clinical isolates contained a combination of siderophore, adhesin, protectin, and toxin-related genes. There was no significant difference between urinary tract and bloodstream infections or regional differentiation in Korea. This study highlights the importance of controlling ESBL-producing E. coli infections, especially given the increasing incidence among patients with underlying medical conditions and older adults who are more susceptible to urinary tract infections. These findings serve as valuable indicators for pathogen analysis, especially those harboring antibiotic resistance and toxin genes. The insights gained are expected to contribute significantly to the development of infectious disease prevention and control strategies.

Detection of viral infectious agents causing calf diarrhea on dairy farms in Serbia

Neonatal calf diarrhea (NCD) is a multifactorial disease commonly occurring in unweaned calves, and one of the major causes of calflosses worldwide. In this study, we investigated the role of viral agents in neonatal calf diarrhoea from dairy farms with reported outbreaks in the winter of 2021-2022.For this study, we tested rectal swab samples from 20 commercial dairy farms with 100-1000 cows with reported acute diarrhoea in neonatal calves.From each farm, five to ten calves, up to 2 months of age, in total 154, with acute diarrhea were sampled by rectal swabbing. Out of 20 tested dairy farms, at 4 farms none of the testedviruses was detected whereas at least one of the tested viruses was detected at 16 farms (80%). As the most prevalent, mono BRV infection was detected at 10 farms (62.5%), followed by a single BCoV infection at 3 farms (18.75%). Coinfection of BVDV and BRV was demonstrated at 2 farms (12.5%), and simultaneous infection with BVDV, BRV and BCoV at one farm (6.25%). G typing of BRV revealed that 60% of the BRVs were G10, 33.3% were G6, and 16.7% were G8. P typing indicated that 66.7% of the BRVs were P[11] and that 33.3% were P[5]. This study revealed viral causative agents being the most often found in diarrheic neonatal calves in Serbia, thuscontributing to the development of more effective strategies for disease prevention and control.

Systematic Review on Citizen Science and Artificial Intelligence for Vector-Borne Diseases

Abstract. Vector-borne diseases (VBDs) pose a significant threat to public health globally. VBDs are a significant public health concern worldwide, with infections such as Malaria, Dengue Fever, Zika Virus, and Lyme Disease posing a threat to global health security. There is a need for innovative and effective strategies to control these diseases. One potential solution lies in the integration of citizen science and artificial intelligence technologies. Citizen science, which involves the participation of volunteers in scientific research, can greatly contribute to data collection and monitoring efforts for vector-borne diseases. Artificial intelligence can enhance the analysis of this data, leading to improved disease surveillance, prediction, and control strategies. Citizen Science involves active public participation in scientific research, data collection, and analysis, while AI and Machine Learning (ML) techniques offer powerful tools for processing and interpreting large datasets. By leveraging the power of citizen science and artificial intelligence, we can harness the collective efforts of volunteers and advanced technology to better understand, track, and mitigate the spread of vector-borne diseases. Through the combination of citizen science and artificial intelligence, a more comprehensive and efficient approach can be taken to gather data on vector-borne diseases, analyze the data, and inform public health interventions. This systematic review aims to explore the role of citizen science and artificial intelligence in addressing the challenges associated with vector-borne diseases. It will examine the existing literature on the use of citizen science and artificial intelligence in vector-borne disease research, including their applications, benefits, and limitations, in order to provide insights and recommendations for future research and public health strategies.

Advanced optimal control approaches for immune boosting and clinical treatment to enhance dengue viremia models using ABC fractional-order analysis.

This work focuses on the Dengue-viremia ABC (Atangana-Baleanu Caputo) fractional-order differential equations, accounting for both symptomatic and asymptomatic infected cases. Symptomatic cases are characterized by higher viremia levels, whereas asymptomatic cases exhibit lower viremia levels. The fractional-order model highlights memory effects and other advantages over traditional models, offering a more comprehensive representation of dengue dynamics. The total population is divided into four compartments: susceptible, asymptomatic infected, symptomatic infected, and recovered. The model incorporates an immune-boosting factor for asymptomatic infected individuals and clinical treatment for symptomatic cases. Positivity and boundedness of the model are validated, and both local and global stability analyses are performed. The novel Adams-Bash numerical scheme is utilized for simulations to rigorously assess the impact of optimal control interventions. The results demonstrate the effectiveness of the proposed control strategies. The reproduction numbers must be reduced based on specific optimal control conditions to effectively mitigate disease outbreaks. Numerical simulations confirm that the optimal control measures can significantly reduce the spread of the disease. This research advances the understanding of Dengue-viremia dynamics and provides valuable insights into the application of ABC fractional-order analysis. By incorporating immune-boosting and clinical treatment into the model, the study offers practical guidelines for implementing successful disease control strategies. The findings highlight the potential of using optimal control techniques in public health interventions to manage disease outbreaks more effectively.

Host combats porcine reproductive and respiratory syndrome virus infection at non-coding RNAs level.

Porcine reproductive and respiratory syndrome virus (PRRSV) poses a significant threat to the global swine industry. The emergence of new, highly virulent strains has precipitated recurrent outbreaks worldwide, underscoring the ongoing battle between host and virus. Thus, there is an imperative to formulate a more comprehensive and effective disease control strategy. Studies have shown that host non-coding RNA (ncRNA) is an important regulator of host - virus interactions in PRRSV infection. Hence, a thorough comprehension of the roles played by ncRNAs in PRRSV infection can augment our understanding of the pathogenic mechanisms underlying PRRSV infection. This review focuses on elucidating contemporary insights into the roles of host microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) in PRRSV infection, providing both theoretical foundations and fresh perspectives for ongoing research into the mechanisms driving PRRSV infection and its pathogenesis.