Search Results (1,936)

Artificial intelligence (AI) has rapidly emerged as a transformative tool in virology, offering new opportunities for the detection, classification, and surveillance of viral pathogens. Recent advances in machine learning, deep neural networks, and multimodal data analysis now enable the identification of viral signatures from genomic sequences, medical images, environmental samples, and social-media-derived epidemiological signals. This review provides a comprehensive overview of state-of-the-art AI methodologies applied to viral pathogen research, with a particular focus on image-based diagnostics, automated quality assessment of virology-related digital content, and predictive modelling for outbreak monitoring. We discuss how convolutional and transformer-based architectures are being used to classify infected tissues, detect viral particles, and support laboratory workflows. Furthermore, we highlight the emerging role of AI in evaluating the reliability of user-generated images and short videos related to infectious diseases, an area increasingly relevant in the age of misinformation. Challenges such as dataset bias, limited annotated virological images, ethical concerns, and the need for standardized quality-assessment pipelines are critically examined. Finally, we outline future research directions, including hybrid AI–biological models, AI-supported viral surveillance in healthcare environments, and the integration of explainable AI to enhance clinical trust. Full article

The northeastern region of China is characterized by complex ecosystems, including forests and wetlands, and borders North Korea, Russia, and Mongolia. It serves not only as a natural reservoir for various microorganisms but also as a critical geographical and ecological hub for cross-border exchanges in Northeast Asia. Based on metagenomics and meta-transcriptomics investigations, this study systematically reviews the current research status of novel pathogens in the northeastern border region of China. It systematically organizes the newly discovered species, their classifications, and geographical distributions, with a focus on analyzing novel viruses that have potential pathogenicity to humans. The novel viruses identified in the northeastern border region belong to 11 viral families, including 9 from the Nairoviridae, 4 from the Rhabdoviridae, 3 each from the Astroviridae, Picornaviridae, and Parvoviridae, and 1–2 from other viral families, indicating a broad diversity of newly discovered viruses. These novel viruses are found in a wide range of hosts, including humans, ticks, minks, Marmota sibirica, and Myodes rufocanus, underscoring the significant public health risks these viruses pose. Geographically, the novel viruses discovered in the northeastern border region show a clustering pattern, with new species primarily concentrated in areas bordering Russia and North Korea. This highlights the unique role of the region as a hotspot for cross-border pathogen transmission and risk. The findings provide a systematic scientific reference for understanding the spectrum of unknown novel pathogens and their geographical distribution in the northeastern border region, assessing the risk of emerging infectious diseases, and optimizing active surveillance systems. Full article

Brucellosis and tuberculosis (TB) are chronic infectious diseases of international public health importance, with developing countries being most affected. The diagnosis of brucellosis and tuberculosis co-infection remains challenging because both diseases present with overlapping nonspecific clinical manifestations, such as prolonged fever, fatigue, and weight loss, and elicit similar cell-mediated immune and inflammatory responses, which can complicate differential diagnosis, particularly in endemic regions. Recently, it has been shown that chronic infections affect cell stress pathways such as oxidative stress and telomere function. The current literature review provides an overview of the relationship between brucellosis and TB at a molecular level, focusing on telomere biology, oxidative stress and the mechanisms of antimicrobial resistance. Due to chronic immune response in brucellosis and TB patients, an increase in reactive oxygen species (ROS) levels is observed, leading to DNA damage and subsequent telomere shortening and alteration of telomerase activity. These alterations might be responsible for immune senescence, weakened defense response and persistent infection. In addition, different methods of drug resistance have been discovered among brucellae and mycobacteria, such as mutation in target sites, efflux systems and intracellular persistence, making their eradication difficult. Finally, the potential role of telomere-related genes and biomarkers of oxidative stress in diagnosis and prognosis is also highlighted. Insights into these interrelated pathways would allow us to have a better understanding of host–pathogen interactions and hence offer a possible means of developing new strategies in the fight against co-infection by finding new biomarkers. Full article

Background: Healthcare-associated bloodstream infections (HABSIs) are among the main categories of nosocomial infections. This analysis aims to identify the clinical characteristics of patients in the emergency department (ED) who will develop a HABSI during their hospital stay. Methods: Main outcome measures were HABSI and the cumulative survival rate at 30 days. The features tested in a logistic model were age, sex, vitals by the National Early Warning Score (NEWS), priority levels, main complaints, comorbidities by the Charlson Comorbidity Index (CCI), trauma-related disease, main diagnosis and ED length of stay. Results: In 414 (2.3%) out of 18,304 patients, aged 75 (16) years, mean (SD), a diagnosis of HABSI was recorded. HABSIs occurred in subjects with main diagnosis of diseases of the respiratory system (N = 116; 28.0%), digestive system (N = 72; 17.4%), and circulatory system (N = 68; 16.4%). The main key clinical features selected by the logistic model were: NEWS > 6, diagnosis of neoplasms, CCI > 4, and diagnosis of diseases of the digestive system. The ROC curve for the HABSI risk score was 0.703 ± 0.027 in predicting the outcome, (sensitivity 79%, specificity 51%, at optimal cut-off score). The overall hazard mortality risk was twofold higher in patients with HABSIs (hazard ratio: 2.319; 95% confidence interval: 1.871–2.875; p-value: <0.001). The overall 30-day survival rate was lower among patients with HABSIs (33%) vs. non-HABSI patients (62%). Conclusions: A group of main clinical features in subjects without suspect of infectious disease in the ED are associated with HABSIs. These features negatively impact survival rate during hospital stays. Full article

The complement system is a key link between innate and adaptive immunity, contributing to pathogen elimination, immune regulation, and tissue homeostasis. Its activation is not only crucial in infections, such as COVID-19, but also plays a major role in the pathomechanism of several non-infectious respiratory diseases, such as asthma, COPD, sarcoidosis and lung cancer. Complement components can modulate the quality of the adaptive immune responses, including through the regulation of T2 immunity and eosinophilic inflammation, thereby linking natural defense to complex immune processes. In recent years, it has become increasingly clear that dysregulated complement activity contributes to inflammation, thrombosis and tissue damage in a wide range of respiratory diseases. The study of the various components of this cascade system may therefore be promising from both a diagnostic and therapeutic point of view. Some of its components may serve as biomarkers for distinguishing between different phenotypes of certain lung diseases, while their targeted inhibition or modulation may open the way towards new treatment options. A better understanding of the complement system’s integrative and regulatory role not only allows for a deeper insight into immunological interactions but may also bring us closer to phenotype-oriented, immunology-based pulmonology, which may have real clinical benefits in the future. Full article

Background: mRNA vaccines, first approved in December 2020, have been used globally to prevent infectious diseases, and those for treating cancers are being developed. Safety-related labelling changes of Comirnaty and Spikevax were made in June 2025; however, concerns remain. This study assessed the potential risks associated with mRNA vaccines on the indications previously approved, utilizing Real-World Data (RWD) of Adverse Events Following Immunization (AEFIs) derived from the Vaccine Adverse Event Reporting System (VAERS) and Academic Literature Databases (ALD). Methods: A Disproportionality Analysis (DPA) was performed using the Reporting Odds Ratio (ROR) and the Bayesian Confidence Propagation Neural Network (BCPNN) algorithm on spontaneous case reports from VAERS. Statistical positive signals were cross-validated with literature case reports from ALD to provide more comprehensive medical descriptions and clearer causal assessments, and compared with safety information documented in clinical trials and on vaccine labelling. Time-to-onset, stratified, and immunization schedule analyses were conducted to characterize the safety profiles of mRNA vaccines. Results: In total, 5,040,725 spontaneous case reports and 4,387 literature case reports were analyzed. In both VAERS and ALD, new signals involving blood and lymphatic system disorders (e.g., thrombotic thrombocytopenic purpura) and ear and labyrinth disorders (e.g., deafness) were detected from Comirnaty as Designated Medical Events (DMEs), while blood and lymphatic system disorders (e.g., thrombotic thrombocytopenic purpura) from Spikevax in ALD only. No new signals were detected from other vaccines on the DMEs list. In VAERS, Serious Adverse Events (SAEs) were more common in females, while death risk was higher in males. In ALD, SAEs were more common in males for most mRNA vaccines, except Comirnaty. Medical history emerged as a key risk factor for SAEs, particularly among older adults. Conclusions: Statistically significant safety signals were detected across all mRNA vaccines based on five-year cumulative RWD, indicating the need of intensified monitoring of specific populations, including older adults and individuals with medical histories, alongside further optimization of vaccination strategies. Full article

Background and Objectives: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disorder characterized by persistent or relapsing fatigue lasting at least six months, not alleviated by rest and not previously present. It is accompanied by post-exertional symptom exacerbation and non-restorative sleep. Fatigue is often disabling and reduces daily activity by more than 50%. This study aimed to evaluate the long-term frequency of somatic and psychiatric disorders in women previously diagnosed with ME/CFS and to describe the long-term clinical course, laboratory findings, and fatigue-related changes during a 16-year follow-up period. Materials and Methods: Sixteen years ago, 40 women diagnosed with ME/CFS according to then-current CDC criteria were enrolled at the Clinic for Infectious Diseases and the Center for Laboratory Medicine, University Clinical Center of Vojvodina. All participants provided informed consent. After 16 years, 20 women agreed to follow-up evaluation. At both time points, participants underwent structured questionnaires, clinical examination, psychological assessment, and comprehensive laboratory testing, including hematological, biochemical, endocrinological, and virological analyses. Fatigue severity was assessed using the FibroFatigue Scale (FFS) and the Multidimensional Assessment of Fatigue (MAF) scale. Results: During follow-up, 15% of participants were diagnosed with rheumatoid arthritis, 10% with cervical or breast cancer, 5% experienced premature myocardial infarction, 5% developed bronchial asthma, and 20% were diagnosed with clinical depression. Progression of ME/CFS was observed in 15%, while 5% reported infertility. Additionally, 15% developed arterial hypertension. Only 15% of participants did not report symptom worsening or new diagnoses. Conclusions: Over the 16-year follow-up, 85% of women with ME/CFS developed significant somatic or psychiatric conditions. These findings suggest that women diagnosed with ME/CFS may experience substantial long-term somatic and psychiatric disease burden, supporting the need for continued clinical monitoring and individualized follow-up. Full article

Background: Mpox is a re-emerging viral zoonotic disease that remains relevant for public health preparedness, risk communication, and vaccination literacy. University students are an important population for infectious disease communication because they are socially active, digitally connected, and may act as knowledge multipliers. This study assessed Mpox-related knowledge, risk perception, preventive practices, and willingness to receive Mpox vaccination among university students in Aktobe, Kazakhstan, and identified independent predictors of adequate knowledge and vaccination willingness. Methods: A cross-sectional questionnaire-based survey was conducted among students from three universities. The questionnaire collected socio-demographic characteristics, Mpox-related knowledge, information sources, attitudes, preventive practices, perceived risk, and vaccination willingness. Knowledge was summarized using a three-item score; adequate knowledge was defined as a score of at least 2 out of 3. Two multivariable logistic regression models were fitted: one for adequate Mpox-related knowledge and one for willingness to receive Mpox vaccination. Results: The final descriptive dataset included 482 respondents. Most participants were female (66.8%), from urban areas (80.5%), and aged 17–18 years (61.6%). Only 217 students (45.0%) had previously heard about Mpox, 193 (40.0%) correctly identified rash as the main symptom, and 179 (37.1%) knew that vaccination against Mpox exists. Adequate knowledge was observed in 201 students (41.7%), while only 150 students (31.1%) were willing to receive Mpox vaccination. In the multivariable model, adequate knowledge was independently associated with studying at Marat Ospanov West Kazakhstan Medical University (aOR = 5.66; 95% CI: 2.95–10.84), use of medical websites as an information source (aOR = 1.71; 95% CI: 1.09–2.69), and following infectious disease news (aOR = 2.81; 95% CI: 1.76–4.48). Vaccination willingness was independently associated with considering Mpox a dangerous infectious disease (aOR = 2.04; 95% CI: 1.11–3.77) and perceiving Mpox as a threat to Kazakhstan (aOR = 2.16; 95% CI: 1.30–3.59). Conclusions: Mpox-related knowledge among university students in Aktobe was limited, while vaccination willingness remained low despite moderate perceived risk. Reliable information exposure improved knowledge, whereas vaccination willingness was more strongly associated with perceived disease threat. These findings support university-based health literacy, vaccine literacy, and risk communication interventions aimed at improving preparedness for emerging infectious diseases. Full article

Cytokines are key regulators of immune responses and tissue remodeling, playing a central role in physiological homeostasis and pathological inflammation. Dysregulation of cytokine signaling networks has been implicated in a wide range of diseases, where persistent inflammatory activation leads to progressive tissue destruction and impaired repair mechanisms. In the oral environment, cytokines critically influence the balance between tissue resorption and regeneration, particularly in processes involving dentin and alveolar bone remodeling. Pathological root resorption (PRR) represents a clinically significant model of cytokine-driven tissue destruction, characterized by the loss of dental hard tissues mediated by osteoclast-like cells within a dysregulated inflammatory microenvironment. Although mechanical, infectious, and iatrogenic factors are well-established triggers, they alone do not fully explain the variability in clinical outcomes, suggesting an important role for host-related factors. New research highlights the relationship between inflammatory signaling pathways, genetic susceptibility, and molecular biomarkers in shaping the onset and progression of PRR. In particular, the RANK/RANKL/OPG axis, cytokine networks, and gene polymorphisms have been identified as key determinants of osteoclast activation and resorptive activity. At the same time, advances in salivary and gingival crevicular fluid biomarker research provide new opportunities for early detection and real-time monitoring. Despite these advances, current knowledge remains fragmented, with heterogeneous study designs, inconsistent genetic associations, and a lack of standardized diagnostic protocols, all of which limit clinical translation. Therefore, a comprehensive and integrative synthesis of cytokine-mediated mechanisms in PRR is needed. This review aims to provide an updated and critical overview of cytokine and chemokine involvement in PRR, integrating molecular pathways, genetic determinants, and emerging biomarkers within a unified framework while highlighting translational implications for precision dentistry. Full article

The concurrent circulation of SARS-CoV-2 and influenza presents a complex immunological landscape. While biological evidence suggests that prior or current infection with one virus can alter susceptibility to the other, conventional epidemiological models often obscure these effects by aggregating co-infected populations into a single compartment. This structural simplification limits our ability to quantify how infection history shapes population-level transmission dynamics. We developed a stratified, deterministic co-infection model that explicitly distinguishes between single, concurrent, and sequential infections by accounting for sequence-dependent heterogeneity in susceptibility and transmissibility. Our primary innovation is a transmission source–pathway decomposition framework that mathematically attributes the rate of new infections to its specific transmission source (i.e., which infectious subpopulation is generating the transmission: the singly-infected, co-infected, or sequentially-infected class) and transmission pathway (i.e., which susceptibility class is receiving new infections: fully susceptible individuals, or those with prior immunity, or those with active co-infection). This framework accounts for altered susceptibility and transmissibility dependent on infection history. Our model-based analysis reveals a profound, sequence-driven asymmetry in transmission. In a baseline co-epidemic scenario, COVID-19 is predominantly driven by a sequential source: individuals who contracted COVID-19 after recovering from influenza are estimated to account for approximately 73% of new COVID-19 cases and approximately 76% of the disease burden, as predicted by our model. Conversely, influenza transmission remains driven by singly infected individuals (approximately 96% of new influenza cases inferred using our model). This sequence-driven asymmetry was robust to changes in model structure (especially, the inclusion of an influenza latent period in a sensitivity analysis) and across scenarios of varying relative transmissibility for the two viruses. Interventions exhibit pathway-specific effects: COVID-19 vaccination, for instance, disproportionately disrupts this dominant sequential transmission engine by protecting the most immunologically vulnerable hosts. Our model-based findings suggest that infection history may be a primary driver of co-epidemic dynamics. Our framework reveals a plausible, asymmetric interaction where an initial influenza wave can fundamentally reshape the transmission landscape for COVID-19, and demonstrates how a prior COVID-19 wave may fuel subsequent influenza transmission under specific temporal conditions. These findings generate the testable hypothesis that cross-viral susceptibility is a key control point and underscore the importance of pathway-aware intervention strategies that account for infection history. Full article

Background: Pulmonary tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (M. tuberculosis). Drug-resistant TB remains a major public health challenge and calls for new approaches to drug development. Targeted delivery of antibacterial agents using nanoscale carriers represents one such approach. A decisive factor for efficient targeting is the judicious selection of the carrier platform. Methods: In the present study, diamond nanoparticles were evaluated as a prospective vehicle for conveying anti-TB drugs to lung cells. Conventional and analytical transmission electron microscopy were used to analyze the localization of the nanodiamonds (NDs) in the lungs of M. tuberculosis-infected mice 30 days after nanoparticle administration and 44 days post-infection. Results: The study shows that the NDs co-localize with M. tuberculosis in foamy macrophages of the lung, residing in the same cellular compartments—phagosomes/phagolysosomes and lipid droplets. These in vivo results demonstrate a high degree of macrophage-specific accumulation of NDs relative to M. tuberculosis. Conclusions: Consequently, NDs can be considered a promising carrier for targeted delivery of anti-TB therapeutics to the lungs during TB-induced inflammation. Full article

Copper is essential for the proper functioning of immune cells and participates in diverse biochemical processes. The maintenance of copper ion homeostasis is critical for normal host physiology, while dysregulation of copper metabolism is closely linked to various diseases. Emerging evidence indicates that disease-associated elevations in copper levels significantly enhance macrophage functions, including the expression of inflammatory cytokines, phagocytosis, and bactericidal activity. As key innate immune cells, macrophages not only eliminate invading pathogens but also contribute to immune regulation, tissue repair, and angiogenesis. In this review, we summarize current knowledge of copper transport and homeostatic mechanisms in macrophages and highlight how copper regulates their antimicrobial activity, inflammatory responses, and reparative functions. A deeper understanding of these mechanisms may provide new insights into therapeutic strategies targeting macrophage regulation through copper metabolism in the context of infectious and inflammatory diseases. Full article

This study examines how urban transportation systems influence the spatial spread of infectious diseases by developing a modified Susceptible–Exposed–Infected–Recovered (SEIR) model with explicit intercity travel dynamics. The model distinguishes between two mobility mechanisms: travel volume, represented by the departure rate g, and travel speed, represented by the arrival rate $\alpha$. Using the next-generation matrix (NGM) approach, we derive the basic reproduction number $R_0$ and analyse how within-city and transit-phase transmission contribute to epidemic spread. The results show that travel volume and travel speed affect mobility-driven transmission through distinct mechanisms. Increasing g increases the number of travelers entering the transit system and therefore amplifies the aggregate number of transit-mediated infections, although the per-capita transit reproduction expression is governed primarily by $\alpha$ and ${\beta }_d^T$ under the reduced next generation matrix formulation formulation. By contrast, increasing $\alpha$ shortens the time spent in transit, reduces the exposure window during travel, and lowers the per-capita contribution of transit-based infection to $R_0$. Numerical simulations illustrate these effects and support the conclusion that reducing travel volume can mitigate intercity epidemic spread by decreasing the number of potentially exposed travelers. Comparative case studies for Brazil, New Zealand, China, and Algeria are used to evaluate the model under different epidemiological settings and socioeconomic contexts. These socioeconomic indicators are treated as contextual background rather than as direct inputs to the mathematical model. The qualitative predictions of the ordinary differential equation (ODE) model are further cross-validated using an agent-based simulation implemented in NetLogo. Overall, the study shows that separating travel volume from travel speed provides a more precise understanding of mobility-driven disease transmission and can support the design of targeted travel-related control measures. Full article

Background/Objectives: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is of great concern because of the difficulties encountered in the management of infections it may cause. This study aims to identify possible difficulties in the management of K. pneumoniae infections in the current context of antibiotic resistance, particularly regarding carbapenem resistance. Methods: This is a retrospective, cross-sectional study that analyses epidemiological, clinical and bacteriological features identified in all patients with CRKP infections/colonization admitted during 2024 in an infectious diseases hospital. Results: Carbapenemase-producing K. pneumoniae isolates were co-harboring NDM+OXA-48 in 55.2% of cases. NDM+OXA-48-producing K. pneumoniae (116 isolates, 55.2%) was correlated with high resistance to aztreonam (100%, p = 0.01), ceftazidime–avibactam (100%, p < 0.01), trimethoprim–sulfamethoxazole (99.1%, p < 0.01), gentamycin (94.8%, p < 0.01), amikacin (93.8%, p < 0.01), colistin (79.8%, p < 0.01). OXA-48-producing K. pneumoniae (29 isolates, 13.8%) was correlated with lower resistance to ceftazidime–avibactam (11.5%, p < 0.01), amikacin (48.1%, p < 0.01), colistin (51.7%, p = 0.01), and gentamycin (65.5%, p < 0.01). We found in vitro synergistic effects of ceftazidime/avibactam + aztreonam for 32/32 CRKP isolates and of colistin + tigecycline for 12/14 CRKP isolates. Higher recurrence of CRKP infections was recorded in patients with urinary tract conditions (RR = 11.58, 95%CI: 1.58–81.91) and upper urinary tract devices (RR = 3.53, 95% CI: 1.72–7.22). In this study, adequate antibiotic treatment, compared to excessive antibiotic treatment in CRKP infections, was associated with shorter treatment duration (p = 0.02) and shorter length of hospitalization (p = 0.04). Conclusions: In our study, CRKP is frequently coharboring NDM+OXA-48, having limited treatment options. Implementing new treatment strategies, testing antibiotic synergies for older antibiotics in order to identify alternative treatment options and avoiding unnecessary carbapenem consumption are essential for decreasing the burden of CRKP infections. Full article

Background and Objectives: New Caledonia, an archipelago in the South Pacific, experienced an unprecedented conjunction of prolonged border closure during the COVID-19 pandemic (2020 to 2022) and marked influence of the El Niño/Southern Oscillation (ENSO). This context provided a unique opportunity to explore how environmental drivers, island isolation, and socio-demographic factors interact to shape infectious disease dynamics. This study aimed to assess the respective and combined effects of climatic variability, travel restrictions, and socio-demographic factors on the dynamics of four priority infectious diseases. Materials and Methods: We retrospectively analysed data from 2017 to 2023 on four infectious diseases: leptospirosis, dengue, influenza, and hepatitis A (HAV). Satellite precipitation data and the Multivariate El Niño/Southern Oscillation Index (MEI) were used. Socio-demographic and economic variables were gathered. Statistical analyses employed descriptive analysis and Generalized Additive Mixed Models to evaluate the associations between climatic events, travel restrictions, and disease circulation using the communal level as a random effect and time (daily) as a spline effect. Results: We analysed 878 cases of leptospirosis, 165 of HAV, 6607 of influenza, and 7377 dengue cases. Influenza was associated with rainfall before lockdown (Odds Ratio (OR) 0.7, Confidence interval 95%, (CI95%), (0.6–0.8)) and disappeared during lockdown but resurged post-reopening losing its meteorological association. Dengue epidemics declined, coinciding with the Wolbachia program and border closure, and were associated with lower MEI (OR 0.78, CI95% (0.6–1) during the 2017 to 2020 period. HAV cases were correlated with the MEI (OR: 1.8, CI95% (1–3.3)). Leptospirosis cases were associated with cumulative rainfall (OR 1.12 (1.1–1.2)) and lower education (OR 1.04, CI95% (1–1.1)) and decreased with water supply (OR 0.7, CI95% (0.5–0.8)). Conclusions: Our findings highlight how climatic conditions, mobility restrictions, and socio-environmental inequities differentially shape infectious disease risks in island ecosystems. These results reinforce the need for integrated One Health surveillance that jointly addresses environmental change, social vulnerability, and infectious disease prevention. Full article