Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Infection01:20

Infection

11.6K
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...
11.6K
Urinary Tract Infection II: Pathophysiology01:25

Urinary Tract Infection II: Pathophysiology

524
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...
524
Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

676
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,...
676
Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

2.5K
The pathophysiology of pneumonia involves the following steps:
2.5K
Stages of Infection01:26

Stages of Infection

64.7K
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...
64.7K
Defense Against Bacterial Pathogens01:31

Defense Against Bacterial Pathogens

2.6K
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...
2.6K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Reverse-engineering amyloid strains with generative protein design.

bioRxiv : the preprint server for biology·2026
Same author

RadTranslateGPT: An Improved AI-Based System for Translation and Simplification of Structured Radiology Reports.

Journal of the American College of Radiology : JACR·2026
Same author

Deciphering Environmental Health Factors Behind Unknown Etiology of Chronic Kidney Disease in South Asia: Plans for Epidemiologic Study.

medRxiv : the preprint server for health sciences·2026
Same author

Preparing for Pandemics with Large Language Models: An Evaluation of Sensitivity Across COVID-19, Zika, and Monkeypox Case Reports.

Journal of medical systems·2026
Same author

HDAC6 as a Modulator of DNA Repair in Alzheimer's Disease: From Mechanisms to Therapeutic Perspectives.

ACS chemical neuroscience·2025
Same author

Designing Patient-Centered Communication Aids in Pediatric Surgery Using Large Language Models.

Journal of pediatric surgery·2025

Video Experimental Relacionado

Updated: Jan 8, 2026

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
09:07

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses

Published on: June 14, 2020

11.5K

Ciencia básica y patogénesis

Aneesh Mazumder1, Anirudh Mazumder2, Claire Suen1

  • 1Harvard College, Cambridge, MA, USA.

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

Los modelos de lenguaje grandes (LLM) como GPT-4o pueden construir grafos de conocimiento (KG) a partir de la literatura científica sobre la enfermedad de Alzheimer (EA) y la histona deacetilasa 6 (HDAC6). GPT-4o demostró una mayor precisión en la extracción de interacciones moleculares para la investigación de la EA.

Palabras clave:
enfermedad de Alzheimergrafos de conocimientoGPT-4oHDAC6interacciones molecularesmodelos de lenguaje grandes

Más Videos Relacionados

A Precise Pathogen Delivery and Recovery System for Murine Models of Secondary Bacterial Pneumonia
13:45

A Precise Pathogen Delivery and Recovery System for Murine Models of Secondary Bacterial Pneumonia

Published on: September 21, 2019

6.0K
Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses
08:38

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses

Published on: February 22, 2019

6.3K

Videos de Experimentos Relacionados

Last Updated: Jan 8, 2026

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
09:07

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses

Published on: June 14, 2020

11.5K
A Precise Pathogen Delivery and Recovery System for Murine Models of Secondary Bacterial Pneumonia
13:45

A Precise Pathogen Delivery and Recovery System for Murine Models of Secondary Bacterial Pneumonia

Published on: September 21, 2019

6.0K
Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses
08:38

Using a Bacterial Pathogen to Probe for Cellular and Organismic-level Host Responses

Published on: February 22, 2019

6.3K

Área de la Ciencia:

  • Neurociencia
  • Biología Computacional
  • Bioquímica

Sus antecedentes:

  • La enfermedad de Alzheimer (EA) implica vías moleculares complejas más allá de las patologías clásicas, incluida la histona deacetilasa 6 (HDAC6).
  • El creciente volumen de literatura científica requiere métodos avanzados para la extracción de conocimiento y el análisis de vías en la EA.
  • Los modelos de lenguaje grandes (LLM) ofrecen una solución poderosa para resumir y descubrir conocimiento dentro de extensos textos biomédicos.

Objetivo del estudio:

  • Desarrollar y evaluar un enfoque basado en LLM para construir grafos de conocimiento (KG) de interacciones moleculares en la enfermedad de Alzheimer (EA).
  • Mapear sistemáticamente las intrincadas vías moleculares que involucran la histona deacetilasa 6 (HDAC6) en la EA.
  • Comparar el rendimiento de diferentes LLM en la extracción de información estructurada de resúmenes científicos.

Principales métodos:

  • Se procesó un corpus de 265 resúmenes de PubMed sobre EA y HDAC utilizando GPT-4o y Gemini.
  • Los LLM extrajeron tripletes de sujeto-predicado-objeto, estandarizando entidades moleculares (a través de UniProt) y categorías de verbos.
  • Los tripletes extraídos se agregaron en un grafo de conocimiento (KG), y el rendimiento se evaluó mediante evaluación humana de la precisión.

Principales resultados:

  • Se construyó un grafo de conocimiento, identificando nodos moleculares clave como Tau, el compuesto 15 y HDAC6.
  • GPT-4o logró una mayor precisión del 78,4% en la extracción de interacciones moleculares en comparación con el 58,9% de Gemini.
  • El KG proporciona una visión estructurada de las interacciones moleculares conocidas y las posibles lagunas de investigación en la EA.

Conclusiones:

  • Los LLM, en particular GPT-4o, pueden extraer eficientemente conocimiento estructurado de la investigación de EA y HDAC, facilitando la comprensión sistemática.
  • El enfoque de KG desarrollado sirve como base para identificar nuevas dianas terapéuticas en la EA.
  • Esta metodología muestra un potencial significativo para automatizar el descubrimiento científico en diversos campos de investigación.