Article

Annotation-free sequence-level multimodal graph learning reveals gut microbiome signatures of atherosclerotic cardiovascular disease

2026-05-27

Abstract excerpt

<h4>Background</h4> Atherosclerotic cardiovascular disease (ACVD) remains one of the leading causes of mortality, and the gut microbiome has been implicated in ACVD-related metabolic and inflammatory processes. However, current microbiome-based disease prediction frameworks predominantly rely on annotation-dependent taxonomic or pathway-level abundance profiles. While effective for community-level association ana...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cc4adcc4-9ee9-5ca8-955a-f1f76c867e11
DOI: 10.64898/2026.05.24.727482

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Annotation-free sequence-level multimodal graph learning reveals gut microbiome signatures of atherosclerotic cardiovascular diseaseDOI 10.64898/2026.05.24.727482Read

Decoding the Microbiome-Disease Axis with Interpretable Graph Neural NetworksSemantic proximity Read

Systematic benchmarking of foundation models and classical baselines for microbiome-based disease predictionSemantic proximity Read

Diagnostic Potential of Shallow Depth Gut Metagenomics Sequencing for Atherosclerotic Cardiovascular Disease Risk StratificationSemantic proximity Read

Beyond Annotation: Leveraging Raw RNA-seq Reads via Foundation Models for Multi-Cancer Early DetectionSemantic proximity Read

Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic dataSemantic proximity Read

Targeted curation of the gut microbial gene content modulating human cardiovascular diseaseSemantic proximity Read

MetagenBERT: a Transformer Architecture using Foundational DNA Read Embedding Models to enhance Disease ClassificationSemantic proximity Read

MGM as a large-scale pretrained foundation model for microbiome analyses in diverse contextsSemantic proximity Read

Leveraging Large Language Models for Redundancy-Aware Pathway Analysis and Deep Biological InterpretationSemantic proximity Read

Biologically Informed Graph Contrastive Learning for Microbiome Data Analysis: A SurveySemantic proximity Read

MifRix: An Integrated microbiome framework for predicting generic and disease-specific risks investigating inter-disease diagnostic cross-talks and intra-disease signature variabilitySemantic proximity Read

Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across Multi-Omics DataSemantic proximity Read