Large language models (LLMs) are increasingly integrated with external systems through the Model Context Protocol (MCP), which standardizes tool invocation and has rapidly become a backbone for LLM-powered applications. While this paradigm enhances functionality, it also introduces a fundamental security shift: LLMs transition from passive information processors to autonomous orchestrators of task-oriented toolchains, expanding the attack surface, elevating adversarial goals from manipulating single outputs to hijacking entire execution flows. In this paper, we reveal a new class of attacks, Parasitic Toolchain Attacks, instantiated as MCP Unintended Privacy Disclosure (MCP-UPD). These attacks require no direct victim interaction; instead, adversaries embed malicious instructions into external data sources that LLMs access during legitimate tasks. The malicious logic infiltrates the toolchain and unfolds in three phases: Parasitic Ingestion, Privacy Collection, and Privacy Disclosure, culminating in stealthy exfiltration of private data. Our root cause analysis reveals that MCP lacks both context-tool isolation and least-privilege enforcement, enabling adversarial instructions to propagate unchecked into sensitive tool invocations. To assess the severity, we design MCP-SEC and conduct the first large-scale security census of the MCP ecosystem, analyzing 12,230 tools across 1,360 servers. Our findings show that the MCP ecosystem is rife with exploitable gadgets and diverse attack methods, underscoring systemic risks in MCP platforms and the urgent need for defense mechanisms in LLM-integrated environments.
Riley J. Carpenter, Jadyn Anczarski, Ivar Rydstrom
et al.
Predictable circuit response is a critical prerequisite for accurate electronic measurements. We describe a powerful, yet straightforward, experimental method and analysis model that utilizes an affordable LCR meter in conjunction with an in situ parasitic impedance background correction procedure to measure the temperature-dependent impedance (magnitude and phase) of individual passive circuit elements mounted in a cryostat. We show how the model unambiguously identified a 20x drop in capacitance for 22 microF 5XR multilayer ceramic capacitors cooled from 300 K to 360 mK in an environment with parasitic capacitance of order 300 pF. The same experimental procedure, based on a simple two-wire measurement, was also used to successfully measure 10 pF and 22 pF thin-film capacitors and 100 MOhm thick-film resistors. The results showed that the resistor values increased by up to an order of magnitude when the devices were cooled from 300 K to 360 mK. Most importantly, the simple data acquisition method and robust analysis model were shown to effectively extend the accuracy of a simple benchtop LCR meter beyond its manufacturer-guaranteed values for a wide range of measurement frequencies.
Objective.
To analyze antimicrobial susceptibility of representatives of the genus Streptococcus in different wards of a multidisciplinary hospital.
Materials and Methods.
Epidemiological observational descriptive continuous retrospective survey was conducted. Antimicrobial susceptibility data on 2916 streptococcal isolates obtained from the laboratory information system «ALISA» were analyzed for the period from 01.01.2017 to 31.12.2022. Antimicrobial susceptibility testing was performed using BD Phoenix M50, interpretation of susceptibility testing results was done in accordance with EUCAST recommendations. Statistical analysis was performed using Microsoft Excel 2010 and IBM SPSS Statistics22.
Results.
The following species of the genus Streptococcus were predominantly isolated: in the surgical infections ward – S. pyogenes (28.5%), S. agalactiae (22.0%), S. anginosus (16.5%); in the coloproctology ward – S. anginosus (41.7%), S. constellatus (16.0%), S. agalactiae (14.5%); in the surgical ward – S. anginosus (40.1%), S. constellatus (31.4%); in the intensive care ward – S. anginosus (21.8%), S. constellatus (11.3%), S. oralis (11.1%); in the gynecology ward – S. agalactiae (49.9%) and S. anginosus (31.3%). Significant proportion of S. agalactiae isolates were resistant to tetracycline and clindamycin in all wards. There was an increase in S. agalactiae resistance to erythromycin from 15.4% in 2019 to 38.3% in 2021 in the surgical infections ward, and from 16.7% to 38.5% – in the coloproctology ward. In addition, resistance to clindamycin increased from 24.2% in 2018 to 71.3% in 2020 to in surgical infections ward, from 13.6% to 70.7% in coloproctology ward, and from 20.0% to 90.3% in gynecology ward. In the intensive care unit, S. agalactiae and S. pyogenes were most frequently resistant to tetracycline (79.5% and 51.3%), erythromycin (32.8% and 31.7%) and trimethoprim-sulfamethoxazole (18.5% and 26.8%, respectively). S. pneumoniae showed the highest level of resistance to erythromycin (35.3%), clindamycin (29.3%) and trimethoprim-sulfamethoxazole (26,0%).
Conclusions.
In recent years, an increase in antimicrobial resistance has been identified in the most common streptococci. The antibiotic susceptibility of streptococci of the same species was found to be variable in different hospital wards. There was a tendency noted for increase in the occurrence of multiresistant strains of S. pyogenes and S. agalactiae in the intensive care and surgical infections ward.
Rumen Harizanov, Mihaela Videnova, Ognyan Mikov
et al.
INTRODUCTION: Infections caused by parasites still represent an important global health problem. Although parasitic infections are responsible for significant morbidity and mortality in developing countries, they are also prevalent in developed countries. This study aims to establish the dynamics of the parasitic infections registered in the country (local and imported) and to analyze the situation, based on data from the previous years. METHODS: We used the annual reports of regional health inspectorates, diagnostic laboratories, medical universities, and data from the National center of infectious and parasitic diseases about all individuals infected with parasitic diseases in the country. RESULTS: A total of 635,522 persons were examined in 2022, of whom 1.82% were diagnosed with various parasitic infections. In the local helminthic zoonoses such as echinococcosis and trichinellosis, a significant decrease in morbidity was observed,1.3%₀₀₀ (n = 89) for cystic echinococcosis and 0.16%₀₀₀ (n = 9) for trichinellosis. For soil-transmitted helminthiases (ascariasis and trichuriasis), the incidence was 6.7%₀₀₀ and 0.5%₀₀₀, respectively. Data on enterobiasis does not show any particular dynamics in 2022 either. The registered prevalence for the country was 1.48%, and for children from various childcare facilities - 2.45%. During the year, seven cases of vector-borne parasitic diseases were registered in the country: imported malaria was diagnosed in 5 patients (4 Bulgarian citizens and one foreigner), and autochthonous visceral leishmaniasis - in two persons. CONCLUSIONS: The analysis shows that, in spite of a trend of declining morbidityfor some socially significant protozoan and helminth infections, human parasitic diseases still represent a significant problem with social and medical consequences for the population of our country. Therefore, it is necessary to preserve and strengthen the surveillance and control network by including new personnel in the medical parasitology structures.
Christo Morison, Małgorzata Fic, Thomas Marcou
et al.
Cooperation arises in nature at every scale, from within cells to entire ecosystems. In the framework of evolutionary game theory, public goods games (PGGs) are used to analyse scenarios where individuals can cooperate or defect, and can predict when and how these behaviours emerge. However, too few examples motivate the transferal of knowledge from one application of PGGs to another. Here, we focus on PGGs arising in disease modelling of cancer evolution and the spread of infectious diseases. We use these two systems as case studies for the development of the theory and applications of PGGs, which we succinctly review and compare. We also posit that applications of evolutionary game theory to decision-making in cancer, such as interactions between a clinician and a tumour, can learn from the PGGs studied in epidemiology, where cooperative behaviours such as quarantine and vaccination compliance have been more thoroughly investigated. Furthermore, instances of cellular-level cooperation observed in cancers point to a corresponding area of potential interest for modellers of other diseases, be they viral, bacterial or otherwise. We aim to demonstrate the breadth of applicability of PGGs in disease modelling while providing a starting point for those interested in quantifying cooperation arising in healthcare.
David B Ridley, Agustín Martín Lasanta, Ffion Storer Jones
et al.
Introduction Neglected diseases are a significant global health challenge. Encouraging the development of therapeutics and vaccines for these diseases would address an important unmet medical need. We propose a priority review voucher programme for the European Union (EU). The developer of a drug or vaccine for a neglected disease would receive a voucher for accelerated assessment of a different product at the European Medicines Agency (EMA).Methods This study uses retrospective observational data to estimate the potential commercial value of the proposed voucher programme using a five-step approach: (1) estimating the time saved in the EMA accelerated regulatory review; (2) gauging time reductions in accelerated pricing and reimbursement decisions by EU member states; (3) selecting 10 high-revenue products launched between 2015 and 2020 representing typical voucher users; (4) analysing IQVIA MIDAS sales data for the selected products and (5) calculating the net present value (NPV) of the voucher based on the 10 products.Results The accelerated EMA review would reduce regulatory time by an average of 182 days. Additionally, products could save more than a year in many member states through an expedited 120-day pricing and reimbursement review. The estimated NPV of regulatory acceleration by two quarters would be €100 million. In addition, if France, Italy and Spain reviewed pricing and reimbursement in only 120 days, then the value would double.Conclusion An EU voucher estimated at more than €100 million, coupled with a US$100 million counterpart, offers a meaningful incentive for novel product development. However, the voucher programme should be part of a comprehensive strategy for tackling neglected diseases, rather than a standalone solution.
Medicine (General), Infectious and parasitic diseases
Abstract Background Tuberculosis (TB) causes significant morbidity and mortality in refugee populations. Although Ethiopia is the third largest refugee-hosting country in Africa, there is limited published data on the prevalence and associated factors of TB in refugees. The objective of this study was to estimate the prevalence of bacteriologically confirmed pulmonary TB (PTB) and explore associated factors in presumptive TB refugees residing in refugee camps in Ethiopia. Methods A facility-based cross-sectional study was conducted between February and August 2021 in refugee camps in Ethiopia. Data were collected consecutively from 610 presumptive TB refugees who attended for TB diagnosis in selected refugee camp clinics in Ethiopia. A pre-tested questionnaire was used to collect data, and sputum samples were collected from eligible study participants. The Xpert Mycobacterium tuberculosis (MTB)/Rifampicin (RIF) assay was performed on direct spot sputum samples, whereas morning sputum samples were processed and inoculated for bacteriological culture using Mycobacterium Growth Indicator Tube (MGIT) and Lowsteen Jensen (LJ) methods. The statistical software package (STATA version 14) was used for statistical analysis. A logistic regression model was used for the evaluation of the association between bacteriologically confirmed TB cases and the associated factors. Descriptive statistics were used for the expression of the results, and statistical significance was assumed at p < 0.05. Results Out of 610 study participants, more than half were female (54.9%), and the mean age was 37.9 years (SD, 16.64). The prevalence of bacteriologically confirmed PTB cases among refugees residing in refugee camps in Ethiopia was 13.3% (95% CI, 10.7–16.2%) using the Xpert MTB/RIF assay and/or culture. MTB was detected in 12.8% (95% CI, 10.2–15.7%) of the individuals using the Xpert MTB/RIF assay, while culture positivity was observed in 11.6% (95% CI, 9.2–14.5%). The multivariable logistic regression model showed South Sudan origins (adjusted odds ratio, AOR = 7.74; 95% CI, 3.05–19.64), age group, 19–38 years old (AOR = 5.66; 95% CI, 1.86–17.28), and male sex (AOR = 2.69; 95% CI, 1.58–4.56) were significantly associated with the bacteriologically confirmed TB among refugees residing in refugee camps in Ethiopia. Conclusion The prevalence of bacteriologically confirmed PTB among presumptive TB refugees residing in refugee camps in Ethiopia was high. The national TB program should strengthen TB prevention and control activities in the refugee camps of Ethiopia. Moreover, an active TB survey program should be implemented in refugee camps in Ethiopia.
Understanding how microbes interact with each other is key to revealing the underlying role that microorganisms play in the host or environment and to identifying microorganisms as an agent that can potentially alter the host or environment. For example, understanding how the microbial interactions associate with parasitic infection can help resolve potential drug or diagnostic test for parasitic infection. To unravel the microbial interactions, existing tools often rely on graphical models to infer the conditional dependence of microbial abundances to represent their interactions. However, current methods do not simultaneously account for the discreteness, compositionality, and heterogeneity inherent to microbiome data. Thus, we build a new approach called "compositional graphical lasso" upon existing tools by incorporating the above characteristics into the graphical model explicitly. We illustrate the advantage of compositional graphical lasso over current methods under a variety of simulation scenarios and on a benchmark study, the Tara Oceans Project. Moreover, we present our results from the analysis of a dataset from the Zebrafish Parasite Infection Study. Our approach identifies changes in interaction degree between infected and uninfected individuals for three taxa, Photobacterium, Gemmobacter, and Paucibacter, which are inversely predicted by other methods. Further investigation of these method-specific taxa interaction changes reveals their biological plausibility. In particular, we speculate on the potential pathobiotic roles of Photobacterium and Gemmobacter in the zebrafish gut, and the potential probiotic role of Paucibacter. Collectively, our analyses demonstrate that compositional graphical lasso provides a powerful means of accurately resolving interactions between microbiota and can thus drive novel biological discovery.
Certain defense mechanisms of phages against the immune system of their bacterial host rely on cooperation of phages. Motivated by this example we analyse invasion probabilities of cooperative parasites in host populations that are moderately structured. More precisely we assume that hosts are arranged on the vertices of a configuration model and that offspring of parasites move to nearest neighbours sites to infect new hosts. We consider parasites that generate many offspring at reproduction, but do this (usually) only when infecting a host simultaneously. In this regime we identify and analyse the spatial scale of the population structure at which invasion of parasites turns from being an unlikely to an highly probable event.
The emergence due to the outbreak of the COVID-19 disease, caused by the SARS-CoV-2 virus, suddenly erupted at the beginning of 2020 in China and soon spread worldwide. This has caused an outstanding increase on research about the virus itself and, more in general, epidemics in many scientific fields. In this work we focus on the dynamics of the epidemic spreading and how it can be affected by the individual variability in compliance with social norms, i.e., in the adoption of health and hygienic social norms by population's members.
Lohitha Gujjari, Hamed Kalani, Sai Kiran Pindiprolu
et al.
Malaria is one of the prevalent tropical diseases caused by the parasitic protozoan of the genus Plasmodium spp. With an estimated 228 million cases, it is a major public health concern with high incidence of morbidity and mortality worldwide. The emergence of drug-resistant parasites, inadequate vector control measures, and the non-availability of effective vaccine(s) against malaria pose a serious challenge to malaria eradication especially in underdeveloped and developing countries. Malaria treatment and control comprehensively relies on chemical compounds, which encompass various complications, including severe toxic effects, emergence of drug resistance, and high cost of therapy. To overcome the clinical failures of anti-malarial chemotherapy, a new drug development is of an immediate need. However, the drug discovery and development process is expensive and time consuming. In such a scenario, nanotechnological strategies may offer promising alternative approach for the treatment and control of malaria, with improved efficacy and safety. Nanotechnology based formulations of existing anti-malarial chemotherapeutic agents prove to exceed the limitations of existing therapies in relation to optimum therapeutic benefits, safety, and cost effectiveness, which indeed advances the patient's compliance in treatment. In this review, the shortcomings of malaria therapeutics and necessity of nanotechnological strategies for treating malaria were discussed.
The review presents common laboratory methods for the diagnosis of the majority of invasive fungal diseases, i. e. candidosis, aspergillosis and cryptococcosis. Some studies reveal an increasing range of the infectious agents such as Trichosporon and endemic fungal pathogens like Histoplasma, Blastomyces and Coccidioides. The most common serological tests for antigen and antibody-detection in body fluids (serum, plasma, bronchoalveolar lavage) are: indirect immunofluorescense, ELISA – Platelia (enzyme linked immunosorbent assay), latex-agglutination, immunodiffusion and molecular techniques like PCR and Real Time PCR. Not only current data on invasive fungal disease diagnostic methods are reviewed, but also studies on new biomarkers and recent discoveries in molecular diagnostics. New molecular approaches are needed to provide faster results.
Antimicrobials including antibiotics, antiparasitic, and antifungals, are subjected to resistance. In this context, Public Health Organizations called for a One Health approach because antimicrobials used to treat different infectious diseases in animals and plants may be the same than those used in humans. Whereas mechanisms of resistance transmission from animals or environment to humans should be considered differently if related to prokaryotic or eukaryotic pathogens, their impact can be considered as a whole. In that respect, we discussed the use of anti-parasitic in animals including anticoccidials, anthelmintics, and insecticides-acaricides, and the use of azoles in the environment that may both favor the development of drug resistance in humans. In light of the current situation, there is an urgent need for a transdisciplinary approach through anti-parasitic and antifungal stewardship programs in humans, animals, and environment, especially in the era of COVID-19 pandemic that will probably aggravate antimicrobial resistance.
Infectious diseases are adversely affecting aquaculture practices throughout world and Asian countries are no exception. Indian aquaculture practices are facing serious setback due to a variety of infectious agent's which are responsible for severe mortality and morbidity of all the cultured freshwater fish species leading to severe economic losses. The emergence of antibiotic resistant pattern, residual effect and environmental degradation due to indiscriminate use of antibiotics has necessitates the development of suitable alternate prophylaxis measures for better protection. In this regard, vaccine(s) has proved to be an effective strategy against pathogens to improve the fish production. Over the years numerous studies have been conducted to develop vaccine(s) against different pathogens. While most of the efforts are made to develop vaccine against bacterial pathogens especially against Aeromoniasis and Edwardsiellosis, few attempts have also been made against certain other bacterial, parasitic and fungal pathogens as well. Despite various successful experimental attempts, till date no vaccines against any of the pathogens are commercially available for Indian aquaculture practices. This review principally focuses on the current state of art in the development of vaccine against different pathogens in general and Aeromonas hydrophila in particular since the bacterium is a major pathogen which is involved in a number of disease conditions in all the cultured fish species in India. Herein in this review, details of various approaches made to find out a potential vaccine candidate which in turn can induce protective immune responses in host alongwith the constraints associated with it in developing a suitable vaccine against this bacterium and its market potential have been illustrated from an Indian perspective.
Background. A cross-sectional study was conducted from November 2019 to March 2020 to determine the prevalence and associated risk factors of intestinal parasitic infections (IPIs) among pregnant women attending antenatal care (ANC) at Yifag Health Center. Methods. The data were collected by a questionnaire interview technique and collecting the stool samples from each pregnant woman. Wet-mount and formol-ether concentration techniques were applied to identify the IPIs. Data were analyzed using SPSS, version 25, and P -values < 0.05 were considered statistically significant. Results. Out of the total 280 pregnant women who were selected using a simple random sampling technique, 277 participated in the questionnaire survey and gave stool samples (a response rate of 98.9%). The prevalence of IPIs among pregnant women was 53.4% (95% CI: 47.37, 59.42). Taenia species (18.1%) was the predominant parasite followed by Giardia lamblia (12.6%), Entamoeba histolytica/dispar (9.4%), hookworms (9%), Ascaris lumbricoides (4%), Schistosoma mansoni (3.2%), Hymenolepis nana (0.7%), Strongyloides stercoralis (0.4%), and Enterobius vermicularis (0.4%). Eating raw vegetables (AOR = 2.721; 95% CI: 1.266, 5.849; P = 0.010 ) and poor personal hygiene (AOR = 4.015; 95% CI: 1.456, 11.07; P = 0.007 ) were associated risk factors for G. lamblia, while eating raw meat (AOR = 2.477; 95% CI: 1.252, 4.902; P = 0.009 ) for Taenia species infections. The prevalence of intestinal parasites was high and still a health burden to the pregnant women in the study area. We recommend avoiding eating raw meat, strengthening sanitation and hygiene programs, and routine deworming of pregnant mothers to reduce the burden of IPIs among pregnant women.
Sarah Valentin, Elena Arsevska, Aline Vilain
et al.
This paper describes a method for annotation of epidemiological information in animal disease-related news articles. The annotation guidelines are generic and aim to embrace all animal or zoonotic infectious diseases, regardless of the pathogen involved or its way of transmission (e.g. vector-borne, airborne, by contact). The framework relies on the successive annotation of all the sentences from a news article. The annotator evaluates the sentences in a specific epidemiological context, corresponding to the publication of the news article.
Paul Tarteret, Alessio Strazzulla, Maxence Rouyer
et al.
Objectives: This study aimed to identify demographic, clinical and medical care factors associated with mortality in three nursing homes in France. Methods: Two nursing homes were hospital-dependent, had connections with infection prevention and control departments, and had permanent physicians. A third nursing home had no direct connection with a general hospital, no infection control practitioner, and no permanent physician. The main outcome was death. Results: During the first 3 months of the outbreak, 224 of 375 (59.7%) residents were classified as COVID-19 cases and 57 of 375 (15.2%) died. The hospital-dependent nursing homes had lower COVID-19 case fatality rates in comparison with the non-hospital-dependent nursing home (15 [6.6%] vs 38 [25.8%], OR 0.20 [0.11–0.38], p = 0.001). During the first 3 weeks of the outbreak, mortality in COVID-19 patients decreased if they had a daily clinical examination (OR: 0.09 [0.03–0.35], p = 0.01), three vital signs measurement per day (OR: 0.06 [0.01–0.30], p = 0.001) and prophylactic anticoagulation (OR: 0 [0.00–0.24], p = 0.001). Conclusions: This study suggested that high mortality rates in some nursing homes during the COVID-19 outbreak might have been contributed by a lack of medical care management. Increasing human and material resources, encouraging presence of nursing home physicians and establishing a connection with general hospitals should be considered to deal with present and future health disasters in nursing homes.