Ask about this productRelated genes to: ApoE Blocking Peptide
- Gene:
- APOE NIH gene
- Name:
- apolipoprotein E
- Previous symbol:
- AD2
- Synonyms:
- -
- Chromosome:
- 19q13.32
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: ApoE Blocking Peptide
Related articles to: ApoE Blocking Peptide
- As an important and beneficial gut commensal, Akkermansia muciniphila plays a crucial role in regulating host metabolism and immunity. Lipooligosaccharides from A. muciniphila (ALOS) show anti-obesity effects in high-fat diet-fed mice. Herein, we investigated the chemical characteristics of core oligosaccharides of ALOS and explored its anti-atherosclerotic efficacy. The LC-Q-TOF-MS analysis indicated a high structural diversity of core oligosaccharides in ALOS, comprising fourteen distinct oligosaccharide species with different degrees of phosphorylation. Functionally, administration of ALOS significantly attenuated hyperlipidemia and reduced atherosclerotic plaque burden in high-fat diet-fed ApoE mice. The improvement of these metabolic symptoms was related to the restoration of intestinal barrier integrity. Mechanistically, ALOS upregulated the IL-23/IL-22 immune axis, which in turn promoted intestinal epithelial repair and modulates the microbiota. ALOS intervention reshaped the gut microbiota composition by enriching beneficial genera such as Bifidobacterium longum, Roseburia intestinalis, and Oscillibacter sp., while suppressing potential pathobionts. Our findings highlight the structural diversity and anti-atherosclerotic effect of lipooligosaccharides from A. muciniphila. - Source: PubMed
Publication date: 2026/05/02
Zhang YutingDong WangLin JinghanSun JingzuYin RuopengLv XunWang WenzhaoWang TaoLiu Hongwei - Sleep-dependent memory consolidation differs by sex and maybe disrupted by Alzheimer's disease (AD) risk. Whether sex moderates associations between apolipoprotein E ε4 ( ) status, non-rapid eye movement (NREM) sleep, and memory remains unclear. - Source: PubMed
Publication date: 2026/04/18
Sattari NeginDave AbhishekChen Ivy YLui Kitty KChappel-Farley Miranda GBerisha Destiny ESprecher Kate ERiedner Brady AJones StephanieBendlin Barbara BMander Bryce ABenca Ruth M - The apolipoprotein E ( ) locus is the strongest genetic risk factor for late-onset Alzheimer's disease (AD). Variation in isoforms is known to have diverse pleiotropic effects on circulating lipids and other metabolites, but effects on the circulating proteome across the life course are not well characterised. We investigated the specific effects of ε4 and ε2 carriage on the circulating proteome in middle-age and later life. - Source: PubMed
Publication date: 2026/04/17
Packer AmyKhatun TahsinaGroves James WWyss-Coray TonySchott Jonathan MProitsi PetroulaAnderson Emma LWilliams Dylan M - The apolipoprotein E 4 (APOE4) allele is the strongest genetic risk factor for late-onset Alzheimer's disease (AD), the most common form of dementia. APOE4 carriers exhibit cerebrovascular and metabolic dysfunction, structural brain alterations, and gut microbiome changes decades before the onset of clinical symptoms. Better understanding of the early manifestion of these physiological changes is critical for development of timely AD interventions and risk reduction protocols. Multi-modal datasets encompassing a wide range of APOE 4 and AD associated biomarkers provide a valuable opportunity to gain insight into the APOE4 phenotype; however, these datasets often present analytical challenges due to small sample sizes and high heterogeneity. Here, we propose a two-stage multimodal AI model (APOEFormer) that integrates blood metabolites, brain vascular and structural MRI, microbiome profiles, and other clinical and demographic data to predict APOE4 allele status. In the first stage, modality-specific encoders are used to generate initial representa-tions of input data modalities, which are aligned in a shared latent space via self-supervised contrastive learning during pretraining. The contrastive learning objective encourages learning of informative and consistent representations across modalities through leveraging cross-modality relationships. In the second stage, the pretrained representations are used as inputs to a multimodal transformer that integrates information across modalities to predict a key AD-risk genetic variant (APOE4). Across 10 independent experimental runs with different train-validation-test splits, APOEFormer predicts whether an individual carries an APOE4 allele with an average prediction accuracy of 75%, demonstrating robust performance under limited sample sizes. Post hoc perturbation analysis of the predictive model revealed valuable insights into the driving components of the APOE4 phenotype- including key blood biomarkers and brain regions strongly associated with APOE4. - Source: PubMed
Publication date: 2026/04/15
Nguyen ThongWoods CarterLiu JianWang ChrisLin Ai-LingCheng Jianlin - Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models for estimating AD onset cannot capture nonlinear interactions (epistasis) among the numerous genetic variables that contribute to AD risk. - Source: PubMed
Publication date: 2026/04/30
Goo SungwooLee SoyoungChae Jung-WooJung SangkeunYun Hwi-Yeol