A CRISPR-Cas-based recombinase polymerase amplification assay for ultra-sensitive detection of active Trypanosoma brucei evansi infections

Frontiers in Molecular Biosciences, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 14, 2025

Introduction Control of Trypanosoma brucei evansi ( T. b. ) infections remains a significant challenge in managing Surra, widespread veterinary disease affecting both wild and domestic animals. In the absence an effective vaccine, accurate diagnosis followed by treatment is crucial for successful management. However, existing diagnostic methods often fail to detect active infections, particularly field conditions. Recent advancements CRISPR-Cas technology, combined with state-of-the-art isothermal amplification assays, offer promising solution. This approach has led us development Tev RPA-CRISPR assay, highly sensitive specific tool suitable laboratory settings. Methods First, CRISPR-Cas12b cleavage assay was developed optimized, its analytical sensitivity evaluated. Next, this technology integrated RPA create test, reaction conditions being optimized specificity assessed. Finally, test’s accuracy detecting cured Results The demonstrated ability target DNA at picomolar concentrations. Integrating Two-Pot One-Pot tests achieved up 100-fold increase over alone, attomolar concentrations DNA, while maintaining . Both assays exhibited performance comparable gold standard PCR experimental mouse validating their effectiveness assessing efficacy. Discussion prove diagnosing efficacy, adaptable use. Thus, emerge as addition current tools, offering efficient reliable detection infections.

Language: Английский

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Adoption of a Holistic Approach to Minimize the Impact of Climate-induced Cardiovascular Diseases

Research in Cardiovascular Medicine, Journal Year: 2025, Volume and Issue: 14(1), P. 50 - 52

Published: Jan. 1, 2025

Abstract Cardiovascular diseases (CVDs) have been acknowledged as a global public health concern owing to their ubiquitous distribution and associated mortalities. The objectives of the current article were assess impact climate change on cardiovascular propose specific interventions mitigate these changes health. Climate significantly increases risk multiple events resulting in impairment quality life deaths. Acknowledging magnitude CVDs role exacerbation diseases, there is an immense need integrate resilience into policies, including urban planning, housing, heat mitigation strategies. In conclusion, has contributed rising CVDs. hour implement targeted reduce risks minimize suffering.

Language: Английский

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Climate Variability and Vector-Borne Disease Dynamics: A Time-Series Analysis of Dengue, Malaria, and West Nile Virus in the United States

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Background Vector-borne diseases such as Dengue, Malaria, and West Nile Virus (WNV) pose a significant public health threat in the United States. Climate change, particularly rising temperatures altered precipitation patterns, has been implicated changing epidemiology of these diseases. However, precise nature associations remains unclear. This study investigates relationship between climate variability incidence using long-term time-series analysis. Methods We conducted retrospective ecological analysis publicly available disease data from Project Tycho PRISM database. Monthly rates (per 100,000 population) for WNV were analyzed alongside temperature variables. applied Spearman’s correlation to assess monotonic relationships, Generalized Additive Models (GAMs) capture nonlinear climate-disease interactions, Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) account lagged seasonal effects. Results Our findings revealed that negatively correlated all three diseases, while effects varied. increased under drier conditions, aligning previous research on mosquito vector-host interactions. Malaria exhibited non-linear both precipitation, indicating threshold-dependent ARIMAX modeling confirmed variables significantly influenced but not suggesting other factors, urbanization vector control measures, play dominant role Dengue transmission. Differences models highlighted complexity GAMs capturing thresholds identifying dependencies. Conclusion demonstrates influences transmission dynamics vector-borne U.S., showing greater sensitivity than Dengue. The discrepancies statistical underscore importance multiple approaches time-lagged forecasting. These emphasize need climate-adaptive surveillance strategies mitigate warming world.

Language: Английский

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Epidemiology

Published: March 21, 2025

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Climate Change Impacts of Pesticide Toxicity

Published: Jan. 1, 2025

Language: Английский

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The impact of climate change on ecology of tick associated with tick-borne diseases

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(4), P. e1012903 - e1012903

Published: April 8, 2025

Infectious diseases have caused significant economic and human losses worldwide. Growing concerns exist regarding climate change potentially exacerbating the spread of these diseases, particularly those transmitted by vectors such as ticks mosquitoes. Tick-borne Severe Fever with Thrombocytopenia Syndrome (SFTS), can be detrimental to elderly immunocompromised individuals. This study utilizes a mathematical modeling approach predict changes in tick populations under scenarios, incorporating ecology climate-sensitive parameters. Sensitivity analysis is performed investigate factors influencing population dynamics. The further explores effective control strategies their cost-effectiveness context change. findings indicate that efficacy reduction varies greatly depending on timing measure implementation effectiveness exhibits strong dependence duration implementation. Furthermore, intensifies, are projected increase, leading rise costs SFTS cases. In light findings, identifying implementing appropriate measures manage will increasingly crucial.

Language: Английский

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Observing Dengue Fever, Malaria, and Chikungunya Before and During the COVID-19 Pandemic in Indonesia: An Epidemiological and Climate Change Perspective

Hygiene and Sanitation, Journal Year: 2025, Volume and Issue: 104(3), P. 279 - 283

Published: March 31, 2025

Introduction. Dengue Fever, Malaria, and Chikungunya persist as alarming global health threats. This paper aims to examines before during the COVID-19 Pandemic in Indonesia for understanding epidemiological trends developing evidence-based strategies of climate change impact. Materials methods. Data were collected since 2017-2022 from various sources, including national surveys meteorological agencies Indonesia. Statistical analyses correlations conducted understand relationships between disease incidence, temperature, rainfall, pandemic-related measures Results. In Indonesia, fever incidence rose significantly 26.1% 2017 pandemic 52.1% 2022, malaria’s annual parasite (API) increase by 0.6, 1.0 per 1,000 population 1.6 2022 pandemic. cases surged 23,6 times, increasing 126 2974 From 2019, temperature rainfall showed a decreasing trend. However, 2020 both indicators fluctuated, with notable spike where reached 550 mm temperatures increased 1°C compared previous years. An anomaly occurred 2019 when decreased, yet Fever increased. Limitations. One limitation this study is potential incomplete or inconsistent data reporting due total lockdowns which may affect accuracy observed trends. Conclusion. rose, possibly exposure at home. Malaria displayed fluctuating trend, initially travel restrictions reduced testing coverage, then experiencing rebound post-pandemic. Chikungunya’s surge subsequent fluctuations underlines need ongoing surveillance. The correlation environmental factors like underscores climate’s role prevalence.

Language: Английский

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Artificial Intelligence in Public Health: Climate Change-Induced Vector-Borne Diseases in India

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 542 - 561

Published: Jan. 1, 2025

Language: Английский

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AI-Driven Predictive Analytics for Syndromic Surveillance: Enhancing Early Detection of Emerging Infectious Diseases in the United States

Published: April 25, 2025

Emerging infectious diseases are a major concern to public health in the United States, requiring advanced surveillance technologies for early diagnosis and response. The incorporation of artificial intelligence (AI)-driven predictive analytics into syndromic represents game-changing technique that uses big data, machine learning, real-time indicators improve disease outbreak detection. purpose this review is explore AI-driven surveillance, emphasizing its ability increase detection emerging States. findings indicate increases speed, accuracy, scalability surveillance. AI-powered methods, such as deep learning natural language processing, may identify anomalies symptom patterns, monitor progression, predict epidemics more accurately. However, with proper safety measures place, AI has potential transform increasing likely national preparedness threats.

Language: Английский

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The high impact of zinc chromium oxide nanocombs on development of larvicidal and antimicrobial performance

BMC Chemistry, Journal Year: 2024, Volume and Issue: 18(1)

Published: Jan. 12, 2024

Abstract Zinc chromium oxide (Cr/ZnO, 5wt.%) was prepared by a facile chemical co-precipitation route. The structure, composition, and bonding were analyzed using X-ray diffraction (XRD), Energy dispersive spectroscopy (EDX), Fourier-transform infrared (FTIR) indicating that ions integrated the host framework to form Cr/ZnO nanocomposite. Scanning electron microscopy (SEM) Transmission (TEM) micrographs showed comb-shaped nanoparticles with an average size 20 nm large surface area. energy gap of thin films estimated from T% R% measurements which exhibit strong optical absorption edge close visible spectrum. insecticidal activity synthesized nanocombs against C. pipiens larvae evaluated LC 50 (30.15 ppm) 90 (100.22 ppm). Besides, nanocomposite high antibacterial performance gram-positive bacteria ( Bacillus subtilis ) gram-negative Proteus vulgaris inhibition zones 21.9 19 mm, respectively.

Language: Английский

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