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Infection01:20

Infection

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When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
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Urinary Tract Infection II: Pathophysiology01:25

Urinary Tract Infection II: Pathophysiology

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The pathophysiology of urinary tract infections (UTIs) encompasses several progressive stages, beginning with bacterial colonization and culminating in potential systemic complications if untreated. UTIs are primarily initiated by bacteria, such as Escherichia coli, which often originate from the gastrointestinal tract and migrate to the urinary system through the periurethral area. This migration can occur via several routes, including improper hygiene practices, sexual activity, or...
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Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

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Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation,...
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Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

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The pathophysiology of pneumonia involves the following steps:
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Stages of Infection01:26

Stages of Infection

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Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
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Defense Against Bacterial Pathogens01:31

Defense Against Bacterial Pathogens

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The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
Phagocytes
Phagocytes are the frontline soldiers of the immune system. They include neutrophils and macrophages. Neutrophils are the most abundant type of white blood cell and are quickly mobilized to the site of infection. Macrophages are larger cells that patrol...
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Video Experimental Relacionado

Updated: Jan 7, 2026

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
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Ciencia Básica y Patogénesis

Robin Sandell1, Justin Torok2, Srikantan Nagaragan3

  • 1University of California San Francisco, San Francisco, CA, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 28, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo modelo híbrido predice la propagación de tau en la enfermedad de Alzheimer utilizando modelos estadísticos basados en eventos (EBM) y modelos biofísicos de difusión en red (NDM). Este enfoque revela diversos patrones de tau, desafiando la estadificación tradicional y ofreciendo estrategias de tratamiento personalizadas.

Palabras clave:
Enfermedad de AlzheimerProteína tauModelado predictivoNeuroimagenModelado híbrido

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Área de la Ciencia:

  • Neurociencia
  • Biofísica
  • Biología Computacional

Sus antecedentes:

  • La enfermedad de Alzheimer (EA) afecta a millones de personas en todo el mundo, caracterizada por la acumulación de proteína tau.
  • La imagen in vivo de tau-PET muestra una variabilidad individual significativa en la progresión de tau, a diferencia de la estadificación tradicional de Braak.
  • Los modelos existentes carecen de base biofísica o requieren datos longitudinales.

Objetivo del estudio:

  • Desarrollar un enfoque de modelado híbrido que integre modelos basados en eventos (EBM) y modelos de difusión en red (NDM) para el modelado predictivo e individualizado de la propagación de tau.
  • Superar las limitaciones de las técnicas de modelado actuales combinando los conocimientos de los datos longitudinales con los principios biofísicos.

Principales métodos:

  • Desarrolló un modelo híbrido que combina EBM y NDM para la predicción de la propagación de tau.
  • Aplicó EBM a 650 sujetos de ADNI para la estadificación de la enfermedad y la generación de trayectorias longitudinales.
  • Utilizó un NDM extendido (eNDM) para modelar la propagación de tau como un proceso difusivo en redes cerebrales, optimizando los parámetros individuales de la semilla y la cinética.

Principales resultados:

  • La optimización individual de la semilla produjo un ajuste superior del modelo (R media=0,85) en comparación con la optimización de parámetros y los puntos de referencia anteriores.
  • Las predicciones del modelo se correlacionaron fuertemente con los datos longitudinales de tau-PET (R media=0,81).
  • Los patrones de tau exhiben una heterogeneidad máxima al inicio, convergiendo con el tiempo, y se identificaron dos arquetipos de siembra distintos (dominante en la entorrinal y temporal difusa).

Conclusiones:

  • El enfoque híbrido EBM-NDM permite una predicción precisa e individualizada de la propagación de tau a partir de datos transversales.
  • Los hallazgos desafían la estadificación clásica de Braak, indicando diversas vías de inicio de tau que convergen con el tiempo.
  • Este marco tiene potencial para estrategias de tratamiento personalizadas para el Alzheimer y su aplicación a otras enfermedades neurodegenerativas.