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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 8, 2026

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
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Ciencia básica y patogénesis

Mythreya Dharani1, Mustafa Buyukozkan1, Rima F Kaddurah-Daouk2

  • 1Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los subtipos de la enfermedad de Alzheimer (EA) se pueden identificar utilizando el novedoso marco AutoSGI, que analiza subconjuntos de datos moleculares. Este enfoque revela distintos grupos de pacientes con diferentes progresiones de la enfermedad y resultados neuropatológicos.

Palabras clave:
Enfermedad de AlzheimerSubtipos molecularesIdentificación de subgruposAnálisis de datos multiómicosNeurocienciaGenómicaBiomarcadores

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Área de la Ciencia:

  • Neurociencia
  • Genómica
  • Biomarcadores

Sus antecedentes:

  • La enfermedad de Alzheimer (EA) se presenta con características clínicas y patológicas diversas, lo que indica posibles subtipos de pacientes.
  • El perfil molecular es crucial para comprender la heterogeneidad de la EA, pero los métodos actuales a menudo pasan por alto la importancia de subconjuntos de características específicos.
  • La identificación de subgrupos distintos de EA es esencial para terapias dirigidas y medicina personalizada.

Objetivo del estudio:

  • Desarrollar y validar un marco novedoso, AutoSGI, para identificar subconjuntos de características moleculares informativas para caracterizar subgrupos de pacientes con enfermedad de Alzheimer.
  • Aprovechar los datos multiómicos para una comprensión más matizada de la heterogeneidad y progresión de la EA.

Principales métodos:

  • Se desarrolló AutoSGI, un marco que identifica subconjuntos de características informativas utilizando anotaciones de vías o agrupamiento de características para el análisis de subgrupos.
  • Se empleó la caja de herramientas SGI (Identificación de Subgrupos) para el agrupamiento jerárquico de muestras y la evaluación de resultados clínicos en cada punto de ramificación.
  • Se aplicaron ajustes estadísticos para tener en cuenta los análisis de múltiples subconjuntos de características.

Principales resultados:

  • Se demostró la utilidad de AutoSGI en dos estudios de caso de la enfermedad de Alzheimer utilizando datos metabólicos y lipidómicos.
  • En el primer caso, AutoSGI estratificó los datos de metabolómica del cerebro post mortem por etapa de la enfermedad, revelando subgrupos con diferencias significativas en las puntuaciones de Braak y CERAD.
  • En el segundo caso, AutoSGI identificó subgrupos definidos por lipidómica sanguínea con diferente progresión de la enfermedad, correlacionados con las puntuaciones de tau en LCR y ADAS-Cog-13.

Conclusiones:

  • AutoSGI aprovecha eficazmente subconjuntos de características multiescala para una identificación robusta de subgrupos en la enfermedad de Alzheimer.
  • El marco proporciona información valiosa sobre la heterogeneidad y progresión de la EA, allanando el camino para una estratificación de pacientes más precisa.
  • Este enfoque mejora la comprensión de los fundamentos moleculares de los subtipos de EA.