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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

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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

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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.
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Pneumonia II: Pathophysiology01:29

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

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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

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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.
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Video Experimental Relacionado

Updated: Jan 8, 2026

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

Karin Morandell1, Laura D'Ignazio1, Elvira Guella1

  • 1MaxWell Biosystems, Zurich, Zurich, Switzerland.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los arreglos de microelectrodos de alta densidad (HD-MEAs) mejoran el análisis de redes neuronales. Esta tecnología aumenta la sensibilidad y la potencia estadística para el estudio de trastornos neurológicos y el descubrimiento de fármacos.

Palabras clave:
Arreglos de microelectrodos de alta densidadAnálisis de redes neuronalesTrastornos neurológicosDescubrimiento de fármacosCélulas madre pluripotentes inducidasNeurocienciaBiotecnología

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Área de la Ciencia:

  • Neurociencia
  • Biotecnología

Sus antecedentes:

  • La tecnología de arreglo de microelectrodos (MEA) avanza la investigación de redes neuronales en todas las escalas.
  • Los MEA son cruciales para comprender los trastornos neurológicos y el descubrimiento de fármacos al revelar el comportamiento de la red.
  • La densidad, el espaciado y el tamaño de los electrodos influyen críticamente en la calidad de la señal y la sensibilidad.

Objetivo del estudio:

  • Caracterizar redes neuronales utilizando sistemas MEA de alta densidad.
  • Comparar grabaciones MEA de alta densidad con grabaciones simuladas de baja densidad.
  • Evaluar estructuras axonales y funcionalidad de la red utilizando el Ensayo de Rastreo de Axones.

Principales métodos:

  • Se utilizaron sistemas MEA de alta densidad (HD) MaxOne y MaxTwo para grabaciones neuronales.
  • Se emplearon neuronas derivadas de células madre pluripotentes inducidas para los experimentos.
  • Se compararon datos de HD-MEA con grabaciones simuladas de baja densidad y se utilizó el Ensayo de Rastreo de Axones.

Principales resultados:

  • La mayor densidad de electrodos y el menor tamaño de los electrodos aumentaron la sensibilidad para detectar picos más pequeños y dinámicas de red.
  • Los sistemas HD ofrecieron una mayor potencia estadística para estudios longitudinales.
  • El Ensayo de Rastreo de Axones proporcionó información sobre las estructuras axonales y la actividad de la red.

Conclusiones:

  • Las grabaciones HD-MEA de alta resolución combinadas con herramientas de análisis subcelular forman una plataforma potente para el cribado de fármacos y el modelado de enfermedades.
  • Este enfoque mejora la comprensión y el abordaje de la dinámica de las redes neuronales en trastornos neurológicos.