Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

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

521
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...
521
Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

674
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,...
674
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

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

White matter integrity is associated with cognition and amyloid burden in older adult Koreans along the Alzheimer's disease continuum.

medRxiv : the preprint server for health sciences·2023
Same author

Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine·2023
Same author

Social enrichment on the job: Complex work with people improves episodic memory, promotes brain reserve, and reduces the risk of dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2023
Same author

Novel <i>CYP1B1-RMDN2</i> Alzheimer's disease locus identified by genome-wide association analysis of cerebral tau deposition on PET.

medRxiv : the preprint server for health sciences·2023
Same author

Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.

Briefings in bioinformatics·2023
Same author

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine·2023
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Correlates and predictors of self-efficacy among dementia caregivers: D-CARE findings.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

What should convince a clinician of disease modification in Alzheimer's disease clinical trials?

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Primary cilia-extracellular vesicle crosstalk in Alzheimer's disease: Emerging mechanisms and biomarker potential.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Evidence for progressive neurodegeneration in iatrogenic cerebral amyloid angiopathy.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 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

基础科学和病原发生学

Julian V Pentchev1, Trever Jackson2, Thea Jacobson Rosewood3,4,5

  • 1Indiana University, Bloomington, IN, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
PubMed
概括
此摘要是机器生成的。

晚期阿尔茨海默氏病多基因分数 (PGS) 预测了早期阿尔茨海默氏病 (EOAD) 风险,但并没有强烈影响EOAD发病年龄. 然而,这些遗传变异可能会影响EOAD患者的认知缺陷.

更多相关视频

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

相关实验视频

Last Updated: Jan 7, 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

科学领域:

  • 遗传学 是一个遗传学.
  • 神经科学是一个神经科学.
  • 阿尔茨海默氏症疾病研究研究

背景情况:

  • 早期阿尔茨海默病 (EOAD) 的遗传基础在很大程度上是未知的.
  • 一种假设表明,EOAD可能与晚发性阿尔茨海默病 (LOAD) 具有共同的遗传因素,可能具有更高的LOAD负担风险单核酸多态 (SNP).
  • 这项研究调查了EOAD患者较高的多基因分数 (PGS) 与早期发病年龄 (AoO) 有关.

研究的目的:

  • 为了比较基于LOAD的PGS对EOAD和LOAD的预测能力.
  • 在EOAD和LOAD队列中分析PGS和发病年龄 (AoO) 之间的关系.
  • 探索PGS和EOAD患者的认知功能之间的相关性.

主要方法:

  • 之前开发的LOAD PGS被应用于从长度早期阿尔茨海默病研究 (LEADS) 和阿尔茨海默病神经成像倡议 (ADNI) 队列中的全基因组关联研究 (GWAS) 数据.
  • 二元物流回归模型被用于预测EOAD和LOAD状态,进一步分析包括APOE4载体状态作为共变量.
  • 考克斯回归评估了PGS第三种动物之间AoO的差异,在LEADS EOAD队列中,认知领域与PGS相关.

主要成果:

  • 在联合,ADNI和LEADS队列中,LOAD PGS显著预测了病例/对照状态,较高的PGS与发展EOAD/LOAD的几率增加有关.
  • 在考虑APOE4后,PGS在组合和ADNI队列中仍然是一个重要的预测因素,但在LEADS-only队列中并非如此.
  • 生存分析显示,基于PGS组的AoO在联合和ADNI队列中存在显著差异,但在LEADS中没有. 在EOAD患者中,PGS与视觉空间和语言表现相关.

结论:

  • 除了APOE4,LOAD的遗传风险因素似乎不是EOAD发病年龄的主要驱动因素.
  • 然而,这些遗传变异可能在EOAD中观察到的特定认知障碍中起作用.
  • 需要进一步的研究,以充分阐明EOAD的遗传结构.