Optimal Control of Interventions for Lymphatic Filariasis Disease Incorporating Resistant Strains DOI Open Access

Yusuf Bala,

Abdulfatai Atte Momoh, M. R. Odekunle

et al.

Symmetry, Journal Year: 2024, Volume and Issue: 17(1), P. 23 - 23

Published: Dec. 26, 2024

A deterministic model for controlling the neglected tropical filariasis disease known as elephantiasis, caused by a filarial worm, is developed. The incorporates drug resistance in human and insecticide-resistant vector populations. An investigation into whether of biological importance reveals that it positively invariant, mathematically well posed, tractable epidemiological studies. filariasis-free filariasis-present equilibrium points were obtained. next-generation matrix technique used to derive basic reproduction number R0, which then determine local stability analysis model. It established system locally asymptotically stable when R0<1. Castillo-Chavez Lyapunov function employed prove global model’s fixed points. results this show globally R0<1 unstable R0>1. Similarly, point proved be R0>1 otherwise. This indicates fight against spread achievable. observed increasing human-infected mosquito contacts or mosquito-infected raises value whereas decreasing progression micro-filaria infective larva killing more mosquitoes will decrease R0 according sensitivity variable precision arithmetic executed MATLAB R2014a was elasticity indices parameters showed R0=0.94639. Further investigations revealed ω2 has significant influence on number, suggesting treatment acute infections crucial control disease. Pontryagin’s Maximum Principle (PMP) optimal analysis. numerical result strategy D most effective based infection averted ratio (IAR) value.

Language: Английский

Interdisciplinary Approach to Monkeypox Prevention: Integrating Nanobiosensors, Nanovaccines, Artificial Intelligence, Visual Arts, and Social Sciences DOI Creative Commons
Vishal Chaudhary,

Lucky Lucky,

Harsh Sable

et al.

Small Structures, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

To effectively address crisis emergence of new virus such as monkeypox, a collective and collaborative effort between scientists, engineers, innovators, artists from all ages, regions, diverse fields is required. This review explores holistic approach to addressing the monkeypox by integrating nanobiosensors, artificial intelligence, visual arts, humanities, social sciences. Traditional diagnostic methods are often limited time, accessibility, accuracy, but advancement point‐of‐care smart nanobiosensors offers promising shift toward rapid, precise, accessible diagnostics. They enhance ability screen, diagnose, monitor infections efficiently, contributing better disease management. Beyond technological innovation, essential role sciences in fostering public engagement, understanding, acceptance tools emphasized. Visual arts can illustrate scientific concepts, making them more relatable, while storytelling through various media reduce stigma promote preventive measures. Social provide insights into cultural attitudes, behaviors, health challenges, ensuring that solutions integrated communities. By combining these disciplines, this presents comprehensive framework for resilient global system aligns with One Health principles, emphasizing interconnectedness human, animal, environmental health.

Language: Английский

Citations

1
An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis DOI Creative Commons
Ahmed I. Saleh, Asmaa H. Rabie, Shimaa E. ElSayyad

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 30, 2025

As the world recovered from coronavirus, emergence of monkeypox virus signaled a potential new pandemic, highlighting need for faster and more efficient diagnostic methods. This study introduces hybrid architecture automatic diagnosis by leveraging modified grey wolf optimization model effective feature selection weighting. Additionally, system uses an ensemble classifiers, incorporating confusion based voting scheme to combine salient data features. Evaluation on public sets, at various training samples percentages, showed that proposed strategy achieves promising performance. Namely, yielded overall accuracy 98.91% with testing run time 5.5 seconds, while using machine classifiers small number hyper-parameters. Additional experimental comparison reveals superior performance over literature approaches metrics. Statistical analysis also confirmed AMDS outperformed other models after running 50 times. Finally, generalizability is evaluated its external sets COVID-19. Our achieved 98.00% 99.00% COVID respectively.

Language: Английский

Citations

0
JAK/STAT signaling as a key regulator of ferroptosis: mechanisms and therapeutic potentials in cancer and diseases DOI Creative Commons

Yimeng Dai,

Chunguo Cui,

Dan Jiao

et al.

Cancer Cell International, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 7, 2025

Ferroptosis is a distinct form of regulated cell death characterized by iron-dependent lipid peroxidation, playing critical role in various diseases, including cancer, neurodegeneration, and tissue damage. This study reviews the intricate relationship between ferroptosis Janus kinase/signal transducer activator transcription (JAK/STAT) signaling pathway, highlighting its regulatory functions across multiple biological processes. Dysregulation JAK/STAT pathway implicated promoting or inhibiting ferroptosis, depending on context. JAK2 promotes activating STAT proteins, modulating expression key regulators like SLC7A11 GPX4, influencing iron homeostasis through pathways such as ferritinophagy hepcidin regulation. STAT1 activation primarily enhances suppression cystine-glutamate antiporter (System Xc-), leading to glutathione depletion contributing conditions Sjogren's syndrome age-related macular degeneration. In contrast, STAT3 plays protective upregulating which inhibits survival, particularly cancers hepatocellular carcinoma, prostate renal carcinoma. also discusses STAT6's involvement diseases asthma lung injury regulating antioxidant defenses. Furthermore, review explores potential therapeutic strategies targeting manipulate for disease treatment. cancer therapy, this can enhance effectiveness inducers, offering promising avenues overcome drug resistance. Additionally, interplay immune responses, oxidative stress, metabolism underscores significance progression intervention. By exploring these mechanisms, provides insights into development novel treatments modulation, with implications inflammatory neurodegenerative conditions.

Language: Английский

Citations

0
Pathological Interplay of NF-κB and M1 Macrophages in Chronic Inflammatory Lung Diseases DOI
Fadiyah Jadid Alanazi,

Abeer Nuwayfi Alruwaili,

Nouf Afit Aldhafeeri

et al.

Pathology - Research and Practice, Journal Year: 2025, Volume and Issue: 269, P. 155903 - 155903

Published: March 7, 2025

Language: Английский

Citations

0
Deciphering Host–Virus Interactions and Advancing Therapeutics for Chronic Viral Infection DOI Creative Commons
Majid Eslami,

Neda Arjmand,

Fatemeh Mahmoudian

et al.

Viruses, Journal Year: 2025, Volume and Issue: 17(3), P. 390 - 390

Published: March 10, 2025

Chronic viral infections like HIV, HBV, and HCV establish persistent interactions with the host immune system, resulting in evasion long-term dysfunction. These viruses use a range of strategies to limit defenses, such as downregulating MHC class I, disrupting interferon signaling, altering apoptosis pathways, suppressing cytotoxic T-cell activity. Key proteins, including HIV Nef, HBV X protein, NS5A, interfere antigen presentation JAK/STAT thereby reducing antiviral responses. induce exhaustion due exposure, which leads expression inhibitory receptors PD-1 CTLA-4 on T cells. Viral epigenetic changes, N6-methyladenosine modifications histone deacetylation, enhance by modulating gene infected Viruses further manipulate cytokine networks promoting an immunosuppressive environment through IL-10 TGF-β secretion, suppress inflammatory responses inhibit activation. This review examines molecular/cellular mechanisms that enable chronic escape immunity, focusing antigenic variation, disruption, control apoptotic pathways. It also addresses how genetic factors, HLA polymorphisms, influence disease progression. Lastly, we discuss host-targeted therapies, checkpoint inhibitors, treatments, CRISPR.

Language: Английский

Citations

0
Mannosamine-Engineered Nanoparticles for Precision Rifapentine Delivery to Macrophages: Advancing Targeted Therapy Against Mycobacterium Tuberculosis DOI Creative Commons

Haopeng Luan,

Cong Peng,

Parhat Yasin

et al.

Drug Design Development and Therapy, Journal Year: 2025, Volume and Issue: Volume 19, P. 2081 - 2102

Published: March 1, 2025

Tuberculosis, caused by Mycobacterium tuberculosis (Mtb), remains one of the leading causes death among infectious diseases. Enhancing ability anti-tuberculosis drugs to eradicate within host cells a significant challenge. A mannosamine-modified nanoparticle delivery system was developed using poly(lactic-co-glycolic acid) (PLGA) copolymers enhance targeted rifapentine (RPT) macrophages. D-mannosamine conjugated PLGA-polyethylene glycol (PLGA-PEG) through EDC/NHS coupling chemistry, and resultant RPT-MAN-PLGA-PEG nanoparticles (NPs) were prepared combination phacoemulsification solvent evaporation methods. The physicochemical properties, toxicity, in vitro drug release profiles, stability, cellular uptake, anti-TB efficacy NPs systematically evaluated. had mean particle size 108.2 ± 7.2 nm, with encapsulation efficiency loading rates 81.2 6.3% 13.7 0.7%, respectively. RPT from sustained for over 60 hours. Notably, phagocytic uptake MAN-PLGA macrophages significantly higher compared PLGA-PEG NPs. Both improved pharmacokinetic parameters without inducing organ toxicity. minimum inhibitory concentration 0.047 μg/mL, 0.2 μg/mL free RPT. engineered effectively enhanced macrophage facilitated intracellular clearance Mtb. This nanoparticle-based offers promising approach improving precision therapy, extending release, optimizing augmenting antimicrobial efficacy, mitigating drug-related toxicities.

Language: Английский

Citations

0
Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification DOI Creative Commons
Dip Kumar Saha,

Sana Rafi,

M. F. Mridha

et al.

BMC Infectious Diseases, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 25, 2025

The daily surge in cases many nations has made the growing number of human monkeypox (Mpox) an important global concern. Therefore, it is imperative to identify Mpox early prevent its spread. majority studies on identification have utilized deep learning (DL) models. However, research developing a reliable method for accurately detecting stages still lacking. This study proposes ensemble model composed three improved DL models more classify phases. We used widely recognized Skin Images Dataset (MSID), which includes 770 images. enhanced Swin Transformer (SwinViT), proposed Mpox-XDE, and modified models-Xception, DenseNet201, EfficientNetB7-were used. To generate model, were combined via Softmax layer, dense flattened 65% dropout. Four neurons final layer dataset into four categories: chickenpox, measles, normal, Mpox. Lastly, average pooling implemented actual class. Mpox-XDE performed exceptionally well, achieving testing accuracy, precision, recall, F1-score 98.70%, 98.90%, 98.80%, respectively. Finally, popular explainable artificial intelligence (XAI) technique, Gradient-weighted Class Activation Mapping (Grad-CAM), was applied convolutional overlaid areas that effectively highlight each illness class dataset. methodology will aid professionals diagnosing patient's condition.

Language: Английский

Citations

0
Tigecycline Modulates LPS-Induced Inflammatory Response in Sepsis Via NF-κB Signalling Pathways: Experimental Insights into Immune Regulation DOI
Lu Zhang, Jun Li,

Meiqing Feng

et al.

International Journal of Antimicrobial Agents, Journal Year: 2025, Volume and Issue: unknown, P. 107496 - 107496

Published: March 1, 2025

Language: Английский

Citations

0
Role of regulatory immune cells in pathogenesis and therapy of periodontitis DOI

Xiao Tan,

Jinsong Li

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Language: Английский

Citations

0
MSC-derived extracellular vesicles: Precision miRNA delivery for overcoming cancer therapy resistance DOI
Ahsas Goyal, Muhammad Afzal,

Kavita Goyal

et al.

Regenerative Therapy, Journal Year: 2025, Volume and Issue: 29, P. 303 - 318

Published: April 5, 2025

Language: Английский

Citations

0