Infectious Epidemics Research Articles

Changes and Long-Term Effects of the Immune System after COVID-19 Infection

Following the pandemic in 2020, physical health has generally declined. All of this is brought on by modifications to the body's immune system and the consequences of sequelae. The current research gap is caused by the neglect of COVID-19's after effects. In this paper, the relationship between immune system changes, complications and their physical conditions was studied, and preliminary results on the harm and prevention of the sequelae were obtained. The immune system's alterations during the epidemic infection and its consequences are the main topics of this article, including cytokine storms, inflammatory responses, and changes in immune cells. At the same time, the article explores the relationship between complications and underlying health conditions, such as chronic diseases and autoimmune diseases, and the harm they cause. Through observation and analysis in the later stages of the epidemic, the article explores the reasons for the general decline in people's physical fitness and changes in the immune system. In the future, it is hoped that there will be improvements in disease analysis and prevention measures after pandemic diseases.

Temporal Trends in Respiratory Infection Epidemics Among Pediatric Inpatients Throughout the Course of the COVID-19 Pandemic From 2018 to 2023 in Fukushima Prefecture, Japan.

Nonpharmaceutical interventions for coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, during the pandemic altered the epidemiology of respiratory viruses. This study aimed to determine the changes in respiratory viruses among children hospitalized from 2018 to 2023. Nasopharyngeal specimens were collected from children aged under 15 years with fever and/or respiratory symptoms admitted to a medical institution in Fukushima Prefecture between January 2018 and December 2023. Eighteen respiratory viruses were detected using real-time reverse transcription-polymerase chain reaction. Overall, 1933 patients were included. Viruses were detected in 1377 (71.2%); of these, a single virus was detected in 906 (46.9%) and multiple viruses in 471 (24.3%). Among the viruses whose epidemics were temporarily suppressed, the epidemics of respiratory syncytial virus A and human parainfluenza virus type 3 (HPIV3) started earlier, and the epidemics of human metapneumovirus, HPIV1, and influenza A and C viruses resumed as behavioral restrictions for preventing COVID-19 eased. The median age of children with airway infection was significantly higher in the postpandemic group than in the prepandemic group (18.0 months vs. 21.0 months, p < 0.01). The median age of children infected with HPIV3 and human rhinovirus was significantly higher in the postpandemic group than in the prepandemic group. Strengthening of nonpharmaceutical interventions changed the epidemic dynamics of pediatric infectious diseases, with a trend toward older hospitalized children. Continuous monitoring of pediatric infectious disease outbreaks in hospitalized children can help prepare for the emergence of future viruses and pandemics.

Pathogen-Specific Electrochemical Real-Time LAMP Detection Using Universal Solid-Phase Probes on Carbon Electrodes.

Epidemic infections and spreading antibiotic resistance require diagnostic tests that can be rapidly adopted. To reduce the usually time-consuming adaptation of molecular diagnostic tests to changing targets, we propose the novel approach of a repurposable sensing electrode functionalization with a universal, target-independent oligonucleotide probe. In the liquid phase covering the electrode, the target sequence is amplified by MD LAMP (mediator-displacement loop-mediated isothermal amplification) releasing a generic methylene blue-labeled mediator, which specifically hybridizes to the solid-phase probe. To demonstrate the universality of the approach, two different pathogens, Staphylococcus aureus (crude lysate) and Treponema pallidum, are detected using the same solid-phase probe. The reactions reach a limit of detection of 1 × 103 and 4 × 102 copies per reaction within 30 min, respectively. The solid-phase probes carry a carboxymethyl aniline modification to form covalent C-C bonds on low-cost carbon electrodes. Maximum surface coverage and maximum hybridization signals are observed at grafting concentrations of ≥2 μM solid-phase probes. Successful detection of spiked target DNA in real swab samples and with three different commercial amplification buffers proved the broad applicability of this assay approach. The electrochemical MD LAMP is fast, compatible with dsDNA targets, and requires only minimal adaptation of an established amplification method. It is easily transferable to existing analytical electrochemical platforms, allowing the consumable to be synergistically used for different targets. The suggested approach of repurposable functionalized electrodes can also be considered to increase the preparedness for future epidemic or pandemic outbreaks as well as rapidly evolving resistance patterns or variants.

Reasons of Hospitalization of Subjects with Type 2 Diabetes Compared to Non-diabetes General People: Experience from a Medical College Hospital of Dhaka City

ABSTRACT Context: Diabetes is one of the most common comorbidities among hospitalized patients; however, reasons of hospitalization among diabetes patients are not well studied in Bangladesh. Aims: The aim of this study was to determine the reasons of hospitalization among subjects with type 2 diabetes. Materials and Methods: This cross-section study was done among the patients who got admitted in the general medicine ward from June 2022 to May 2024. Samples were collected by consecutive convenient sampling. Patients, who got admitted with epidemic diseases, e.g., dengue fever and COVID-19 infections, were excluded from the study. Finally, we used data of 504 patients for analysis using SPSS version 23.0. Results: Infection is the most common cause of hospitalization for both diabetic and nondiabetic patients, though it was a little bit higher in the nondiabetes group (52.6% vs. 65.7%; P = 0.003). Among the infectious causes, genitourinary tract infection (54.9% vs. 29.7%; P &lt; 0.0001) and respiratory tract infection (RTI) (24.8% vs. 21.8%; P &lt; 0.0001) are most common for both groups and significantly more common among diabetes patients. Among the noninfectious causes of hospitalization, diabetes and its complications along with other endocrine diseases was the most common (19.2%), whereas gastrointestinal disease was the most common (30.2%) cause for hospitalization in the nondiabetes group. We also observed a significantly high frequency of hypertension, renal dysfunction, cardiovascular disease, and hypothyroidism in the diabetes group. Conclusion: Infection is the major cause of hospitalization for both diabetes and nondiabetes subjects. Genitourinary tract and RTI are the major forms of infection during hospitalization in diabetes subjects.

Dynamics analysis of epidemic spreading with individual heterogeneous infection thresholds

In the real world, individuals may become infected with an epidemic after multiple exposures to the corresponding virus. This occurs because each individual possesses certain physical defenses and immune capabilities at the time of exposure to the virus. Repeated exposure to the virus can lead to a decline in immune competence, consequently resulting in epidemic infection. The susceptibility of individuals to an epidemic is heterogeneous. We model this characteristic as the individual heterogeneous infection threshold. Then, we propose an individual logarithmic-like infection threshold function on a single-layer complex network to reflect the heterogeneity of individual susceptibility on infecting the virus and the associated epidemic. Next, we introduce a partition theory based on the edge and logarithmic-like infection threshold function to qualitatively analyze the mechanisms of virus infection and epidemic spreading. Finally, simulation results on Erdő–Rényi (ER) and scale-free (SF) networks indicate that increasing both the epidemic infection initial threshold and outbreak threshold, as well as decreasing the virus and epidemic infection probability, can all effectively suppress epidemic spreading and epidemic infection outbreak. With an increase in the epidemic infection outbreak threshold, the increasing pattern of the final epidemic infection scale transitions from a second-order continuous phase transition to a first-order discontinuous phase transition. Additionally, degree distribution heterogeneity also significantly impacts the outbreak and spread of diseases. These findings provide valuable guidance for the formulation of immunization strategies.

Compartmental description of the cosmological baryonic matter cycle

Context. The compartmental description, well-known as the description of infection diseases and epidemics, was applied here to describe the temporal evolution of the baryonic matter in interstellar gas and stars. The introduction of gaseous and stellar fractions of the total baryonic matter as the basic dynamical variables is advantageous because it allows us to apply the description to a variety of astrophysical systems. Aims. We aimed to theoretically investigate the competition of spontaneous star formation, stellar feedback, and stellar evolution to understand the baryonic matter cycle including luminous baryonic matter in main-sequence stars and weakly luminous matter in white dwarfs, neutron stars, and black holes (referred to as locked-in matter). Of particular interest was the understanding of cosmic star formation history and the present-day gas fraction with compartmental models. Methods. We derived exact analytical solutions for the time evolution of the fractions of gaseous, luminous stellar, and locked-in stellar matter for stationary rates of spontaneous star formation, continuous stellar feedback, and stellar evolution. The accuracy of the analytical solutions was proven by comparison with the exact numerical solutions of the dynamical equations. Results. The observed cosmological star formation rate and the integrated stellar density as a function of redshift are reasonably well explained by the compartmental model without triggered star formation by the competition of spontaneous star formation and stellar evolution, whereas the influence of stellar feedback is less important. The action of stellar evolution provides a significant redshift-dependent reduction factor when calculating the integrated stellar density from the star formation rate. Without stellar evolution, the observations could not be reproduced very well. Then, the fits to the observation provided conclusions on the relative importance of spontaneous star formation, stellar evolution, and feedback in the early Universe after the recombination era until today. The gas, luminous star, and locked-in stellar matter fractions indicated that the vast majority of the baryons in the present-day Universe reside in the form of locked-in stellar matter in white dwarfs, neutron stars, and black holes.

Obstructive jaundice caused by an abdominal tuberculous mass lesion.

Tuberculosis is a global epidemic infection that typically presents with symptoms affecting the respiratory system. Abdominal tuberculosis is an uncommon manifestation, occurring in only 5% of tuberculosis cases globally and can present with a broad range of vague symptoms that mimic other biliary and pancreatic pathologies. We report a case of a 36-year-old woman presenting with jaundice and biliary obstruction secondary to abdominal tuberculosis. Computed tomography and magnetic resonance cholangiopancreatography revealed a loculated retroperitoneal mass abutting the pancreatic head and duodenum with associated common bile duct dilatation. Endoscopic ultrasound demonstrated an ulcerated mass in the duodenum which was biopsied. Necrotising granulomas were identified on histology and the biopsied tissue was positive on tuberculosis polymerase chain reaction testing. Thus, extrapulmonary abdominal tuberculosis was diagnosed. The patient was commenced on a 6-month course of rifampicin, isoniazid, pyrazinamide and ethambutol treatment and demonstrated complete response to medical therapy. Abdominal tuberculosis can be difficult to diagnose but should remain an important differential to be considered for patients with previous travel or residence in endemic areas presenting with gastrointestinal symptoms. Prompt diagnosis and treatment can prevent unnecessary procedures, complications and death in patients with biliary obstruction caused by abdominal tuberculosis.

IFITM1 is a host restriction factor that inhibits porcine epidemic diarrhea virus infection.

Porcine epidemic diarrhea virus (PEDV) infection and transmission pose a serious threat to the global swine industry. The search for a new host factor with anti-PEDV effect may be an effective potential target for the development of novel antiviral drugs. Interferon-induced transmembrane proteins (IFITMs) play a crucial role in the innate immune response triggered by viral infection, and it has been suggested that IFITMs can block the early stages of viral replication, but the mechanism of action is currently unclear. The current study sheds light on the role of IFITM1 in PEDV infection. Specifically, overexpression of IFITM1 suppresses PEDV proliferation in IPEC-J2 cells, while knockdown of IFITM1 has the opposite effect. Collectively, these findings underscore IFITM1's inhibitory role in PEDV infection, with critical implications for the residues and structural motifs within its CTD. The study demonstrates that IFITM1, an interferon-induced transmembrane protein, plays a critical role in the antiviral response against Porcine Epidemic Diarrhea Virus (PEDV). Notably: Overexpression of IFITM1 suppresses PEDV proliferation.IFITM1 co-localizes with PEDV virions in the cytoplasm surrounding the nucleus.Immunocolloidal gold electron microscopy reveals IFITM proteins embedded on the surface of PEDV virions.IFITM1 directly interacts with the N protein of PEDV.C-terminal domain mutations in IFITM1 compromise its inhibitory function against PEDV, with specific amino acid residues playing a pronounced role.These findings enhance our understanding of innate immunity and antiviral defense mechanisms, with potential implications for therapeutic strategies against PEDV infection. The study establishes IFITM1 as a key player in the antiviral response against PEDV. Its inhibitory function, co-localization with virions, and interaction with the N protein provide valuable insights. Notably, the CTD mutations of IFITM1 have a fundamental impact on its modulatory action. These findings contribute to our understanding of innate immunity and antiviral defense mechanisms, with potential implications for therapeutic strategies against PEDV infection.

Changes in Epidemics of Respiratory Viral Infections Resulted From the COVID-19 Pandemic in Shanghai.

To investigate the changing patterns of respiratory viral infections within the context of COVID-19 pandemic. The etiological surveillance data of eight respiratory viral pathogens among patients with ARIs in Shanghai between 2013 and 2023 were analyzed to evaluate the dynamic patterns of respiratory viral infections in Shanghai compared to global other regions during pre-pandemic (period 1), pandemic (period 2), and post-pandemic (period 3) periods of COVID-19. In Shanghai and various other global regions, there was a delay of 2‒4 months in the peak positive rate of IFV and a reverse seasonality for RSV, HMPV, and HBoV was observed following the relaxation of NPIs. The proportion of patients infected with any of these eight viruses experiencing fever or high fever notably increased. During the entire study period, IFV was consistently identified as the most prevalent virus, with IFV-B as the predominant stain during period 2, and IFV-A regained its dominance following the lifting of NPIs. The proportion of RSV among children significantly increased during period 2 compared to period 1. With the relaxation of NPIs, there has been a resurgence of certain viral pathogens, accompanied by notable alterations in seasonal patterns and the spectrum of viral pathogens.

A novel double antibody sandwich quantitative ELISA for detecting porcine epidemic diarrhea virus infection.

Porcine epidemic diarrhea (PED), a contagious intestinal disease caused by the porcine epidemic diarrhea virus (PEDV), has caused significant economic losses to the global pig farming industry due to its rapid course and spread and its high mortality among piglets. In this study, we prepared rabbit polyclonal antibody and monoclonal antibody 6C12 against the PEDV nucleocapsid (N) protein using the conserved and antigenic PEDV N protein as an immunogen. A double-antibody sandwich quantitative enzyme-linked immunosorbent assay (DAS-qELISA) was established to detect PEDV using rabbit polyclonal antibodies as capture antibodies and horseradish peroxidase (HRP)-labeled 6C12 as the detection antibody. Using DAS-qELISA, recombinant PEDV N protein, and virus titer detection limits were approximately 0.05 ng/mL and 103.02 50% tissue culture infective dose per mL (TCID50/mL), respectively. There was no cross-reactivity with porcine reproductive and respiratory syndrome virus (PRRSV), porcine rotavirus (PoRV), porcine pseudorabies virus (PRV), porcine deltacoronavirus (PDCoV), or porcine circovirus (PCV). The reproducibility of DAS-qELISA was verified, and the coefficient of variation (CV) for intra- and inter-batch replicates was less than 10%, indicating good reproducibility. When testing anal swab samples from PEDV-infected piglets using DAS-qELISA, the coincidence rate was 92.55% with a kappa value of 0.85 when using reverse transcription-polymerase chain reaction (RT-PCR) and 94.29% with a kappa value of 0.88 when using PEDV antigen detection test strips, demonstrating the reliability of the method. These findings provide fundamental material support for both fundamental and practical studies on PEDV and offer a crucial diagnostic tool for clinical applications. KEY POINTS: • A new anti-PEDV N protein monoclonal antibody strain was prepared • Establishment of a more sensitive double antibody sandwich quantitative ELISA • DAS-qELISA was found to be useful for controlling the PEDV spread.

Variation in innate immune responses to porcine epidemic diarrhea virus infection in piglets at different ages

Porcine epidemic diarrhea virus (PEDV) poses a significant threat to pigs, with piglets under seven days old facing a mortality rate of up to 100 %. This study aimed to explore the maturation of the immune system in piglets across different age groups and their corresponding immune responses to PEDV infection. Real-time quantitative PCR was employed to assess the relative mRNA expression of inflammation-related factors in infected pigs compared to non-infected counterparts at varying ages. Additionally, flow cytometry was utilized to analyze the relative counts of CD4+ and CD8+ T cells, as well as CD21+ B cells, in peripheral blood, spleen, mesenteric lymph nodes, and Peyer's patches of piglets at different developmental stages. Our findings revealed a notable increase in IFN-α and IFN-γ, a decrease in TNF-α, and elevated expression of IL-1β, IL-6, IL-10, and IL-17 following PEDV infection. Furthermore, the numbers of CD4+ and CD8+ T cells, along with CD21+ B cells, exhibited a gradual rise with the advancement of piglets' age. Overall, our study underscores the progressive enhancement of piglets' resistance to PEDV infection as their immune system matures over time.

Molecular epidemiology of Cercospora leaf spot on resistant and susceptible sugar beet hybrids

AbstractCercospora leaf spot (CLS), caused by Cercospora beticola, is a major foliar disease impacting sugar beet production worldwide. The development of new resistant sugar beet hybrids is a powerful tool to better manage the disease, but it is unclear how these hybrids affect CLS epidemiology. We used a molecular epidemiology approach to study natural epidemics of CLS affecting two susceptible and two resistant sugar beet hybrids at two field sites. Infected plants were geotagged on a weekly basis. Isolations of C. beticola were made from infected leaves and genotyped using six simple‐sequence repeat loci to identify clones. We determined that CLS epidemics had a later onset in plots planted to resistant hybrids, but once the pathogen established an infection, there was little difference between resistant and susceptible hybrids in the probability of localized spread and dispersal. We found that different clones often infected the same leaf and that clusters of infected plants were often colonized by a mixture of clones. There was little overall difference in genetic diversity of C. beticola collected on resistant and susceptible hybrids; however, genotypic diversity was lower on the resistant hybrid at one site, suggestive of a selection bottleneck. At the end of the epidemic infections were not randomly distributed across the fields and we found that a single clone could spread over a distance of 100 m during a growing season.

Molecular and cellular level analysis of the mechanism of nutritional intervention in preventing epidemic virus infection

Molecular nutrition encompasses a wider range of investigations than nutritional genomics, which can be considered a scientific investigation of how different nutrients and dietary components influence the cellular and molecular mechanisms of the body and health. In effect, increasing antioxidant elements in daily diets can assist with combating the inflammatory response caused by cytokines in the human body. Antioxidants can impede the oxidation process and hence avoid the creation of free radicals in the cytoplasm that can damage the cells via chain reactions. Contamination sequences, batch effects, uneven sampling, unreported taxa, technological biases, and heteroscedasticity are all significant issues in molecular microbial biology. Artificial Intelligence (AI) methodologies to uncover hidden patterns, connections, and interactions within metabolomics data, allowing them to provide personalized food recommendations based on individual health profiles. A multi-scale convolutional neural network (MCNN) classifies cellular images into phenotypes in a single coherent step utilizing the image’s pixel intensity values. Hence, the proposed AI-MCNN has been an essential nutrient that assists the immune system in various ways, including acting as an antioxidant to protect healthy cells, promoting immune cell development and function, and creating antibodies. According to epidemiological research, people who are undernourished are more likely to get bacterial, viral, and other diseases. Nutritional epidemiology investigates dietary or nutritional parameters concerning illness prevalence in communities. Nutritional epidemiology results often add to the evidence that provides dietary recommendations for preventing disease and related disorders.

Antiviral Activity of Natural Herbs and their Isolated BioactiveCompounds: A Review.

Viruses are the cause of many human pathogenesis-related conditions. A serious hazard to public health has been created because of the increase in worldwide travel, fast urbanization, and infectious epidemics. At the same time, no preventative vaccines or antiviral treatments are currently available. Resources for developing new antiviral medications can be found in enhanced natural products and herbal medicines. These natural substances have aided the research on developing preventive vaccines and antiviral treatments. Based primarily on in vitro and in vivo searches, this review aims to explore the antiviral properties of plant extracts and some isolated plant natural products. Only a few antiviral medications have been given clinical approval, while numerous viruses continue to elude adequate immunization. Therefore, developing novel antiviral medicines is crucial, and natural substances make excellent sources for these new drugs. This review highlights various natural herbal drugs possessing antiviral properties.

Personal Data Collection In Business As Seen By The Brazillian Data Protection Law (LGPD)

The collection and analysis of large volumes of data -Big Data- in the most diverse formats, from Internet browsing patterns to postings on social networks, allows stakeholders to make better-oriented decisions, solidifying the data-driven business standard. Nowadays, there is an explosion of information, whether through the internet and its social networks, or through corporate applications, as well as cell phones and smartphones, RFID reader tools and video control cameras for traffic, security, etc. culminate in a large mass of highly complex, structured and unstructured data. Such data are extremely relevant if it is taken into account that they can collaborate to indicate the type of purchase behavior of a certain customer until identifying a crisis in a sector of the economy, migration of consumers to the competition and outbreaks of infectious epidemics, such as the Zika Virus and the H1N1 flu. Turning attention to what is called Big Data is becoming more and more essential, for investing in new technologies, analysis methodologies and adequate software tools. Certainly, we currently have great strength in the information technology scenario, which mobilizes many individuals who research, talk about and seek to understand what it is, how it can be used and how this phenomenon called Big Data is formed. In this scenario, the debate on the right to privacy and intimacy becomes relevant in the face of the use of this information by companies and organizations, analyzing the vulnerability of the internet user in the face of Big Data and the national and international legislation on the subject, as well as aiming to explore and to describe how companies try to get to know their consumers better, through the analysis of data that are posted on virtual media.

From Shamans to Priests of Sekhmet: A Review of the Literature in Search for the Origins of Doctors in Ancient Egypt.

This review suggests that shamans were in charge of the healing process in pre-dynastic Egypt. After the unification of Lower and Upper Egypt by Narmer in 3100 BC, shamans evolved into the Sem priests, who were responsible for the king's health. With the change in Egyptian religion in the fourth dynasty (2613-2494 BC), Ra, the sun god, was revered as the supreme power, replacing the king. The emergence of mass festivities to celebrate Ra led to the priests of Sekhmet in the fifth dynasty (2494-2345 BC) checking the sanitation of bull meat that was provided to the populace in an attempt to avoid infectious epidemics. This seems to be the first recognition that disease might be transmitted from animals to humans. They used medical folklore, incantations, spells, and charms available at the House of Life, previously used by the lector priest. By 2487 BC, the first medical curative procedure was performed by Ni-Ankh-Sekhmet who cured the bleeding of a king's nose.

Role of IgM/ IgG Ratio in Distinguishing Primary and Secondary Dengue Viral Infections: A Cross-Sectional Study.

Objectives In recent years, Uttarakhand, a state in North India has become one of the prime spots for tourism all over the world. Thereby, a tremendous increase in the epidemics of dengue infection has been observed recently. Secondary dengue causes more severe disease in comparison with primary, thus to differentiate the two is very crucial. We aim to find out the cut-off values of the IgM:IgG ratio for early detection of secondary dengue which could further help clinicians to prevent the complications. Methods A cross-sectional study was conducted over one year involving around 936 suspected cases of dengue. Samples were tested using the commercially available capture enzyme linked Immunosorbent assay (ELISA) method for IgM and IgG. Real-time and nested polymerase chain reaction (PCR) tests were also done to find out the prevalent serotype. IgM:IgG ratio was evaluated by using receiver operating characteristic curve analysis for the differentiation of primary and secondary dengue. Results Among the total 91 serologically confirmed dengue patients, forty-seven (51.6%) were found to be primary, and forty-four (48.4%) were secondary dengue infections with male preponderance. Using the WHO diagnostic criteria, patients with dengue fever (DF) without warning signs added up to 51.6%, with warning signs 42.9% and severe dengue 5.5% of the total cases. The cut-off ratio of IgM:IgG ratio = 1.59 found the best discrimination between primary and secondary infection. Forty out of ninety-one (44%) patients exhibited ratios of > 1.59 whereas the rest fifty-one (56%) exhibited ratios of < 1.59. Dengue virus - 2 (DENV- 2) was found to be the most prevalent serotype. Conclusion Our study recommends the cut-off values for IgM:IgG ratio as 1.59. Therefore it is hoped that this will guide the clinicians to early distinguish between primary and secondary dengue. Furthermore, it can reduce morbidity and mortality because of dengue infections in the future.

Exosomal ssc-miR-1343 targets FAM131C to regulate porcine epidemic diarrhea virus infection in pigs

The porcine epidemic diarrhea virus (PEDV) causes diarrhea in piglets, thereby causing very significant economic losses for the global swine industry. In previous studies, it has been confirmed that microRNAs (miRNAs) play an important role in the infection caused by PEDV. However, the precise molecular mechanism of miRNAs in the regulation of PEDV infection is still not fully understood. In the present study, we utilized miRNA-seq analysis to identify ssc-miR-1343 with differential expression between PEDV-infected and normal piglets. The expression of ssc-miR-1343 was detected in isolated exosomes, and it was found to be significantly higher than that in the controls following PEDV infection. The ssc-miR-1343 mimic was found to decrease PEDV replication, whereas the ssc-miR-1343 inhibitor was observed to increase PEDV replication, and ssc-miR-1343 was delivered by exosomes during PEDV infection. Mechanistically, ssc-miR-1343 binds to the 3′UTR region of FAM131C, down-regulating its expression, and FAM131C has been shown to enhance PEDV replication through simultaneously suppressing pathways associated with innate immunity. The ssc-miR-1343/FAM131C axis was found to upregulate the host immune response against PEDV infection. In conclusion, our findings indicate that the transport of ssc-miR-1343 in exosomes is involved in PEDV infection. This discovery presents a new potential target for the development of drugs to treat PEDV.

Butyrate induces higher host transcriptional changes to inhibit porcine epidemic diarrhea virus strain CV777 infection in porcine intestine epithelial cells

Newborn piglets’ health is seriously threatened by the porcine epidemic diarrhea virus (PEDV), which also has a significant effect on the pig industry. The gut microbiota produces butyrate, an abundant metabolite that modulates intestinal function through many methods to improve immunological and intestinal barrier function. The objective of this investigation was to ascertain how elevated butyrate concentrations impacted the host transcriptional profile of PEDV CV777 strain infection. Our findings showed that higher concentrations of butyrate have a stronger inhibitory effect on PEDV CV777 strain infection. According to RNA-seq data, higher concentrations of butyrate induced more significant transcriptional changes in IPEC-J2 cells, and signaling pathways such as PI3K-AKT may play a role in the inhibition of PEDV CV777 strain by high concentrations of butyrate. Ultimately, we offer a theoretical and experimental framework for future research and development of novel approaches to harness butyrate’s antiviral infection properties.

Surveillance of respiratory viruses by aerosol screening in indoor air as an early warning system for epidemics.

The development of effective methods for the surveillance of seasonal respiratory viruses is required for the timely management of outbreaks. We aimed to survey Influenza-A, Influenza-B, RSV-A, Rhinovirus and SARS-CoV-2 surveillance in a tertiary hospital and a campus over 5 months. The effectiveness of air screening as an early warning system for respiratory viruses was evaluated in correlation with respiratory tract panel test results. The overall viral positivity was higher on the campus than in the hospital (55.0% vs. 38.0%). Influenza A was the most prevalent pathogen in both locations. There were two influenza peaks (42nd and 49th weeks) in the hospital air, and a delayed peak was detected on campus in the 1st-week of January. Panel tests indicated a high rate of Influenza A in late December. RSV-A-positivity was higher on the campus than the hospital (21.6% vs. 7.4%). Moreover, we detected two RSV-A peaks in the campus air (48th and 51st weeks) but only one peak in the hospital and panel tests (week 49). Although rhinovirus was the most common pathogen in panel tests, rhinovirus positivity was low in air samples. The air screening for Influenza-B and SARS-Cov-2 revealed comparable positivity rates with panel tests. Air screening can be integrated into surveillance programs to support infection control programs for potential epidemics of respiratory virus infections except for rhinoviruses.