evidence table
Prebiotic Gut Microbiome Meta-Analysis Evidence Table
Structured evidence table for Prebiotic Gut Microbiome Meta-Analysis, generated from 2 reusable source documents in the Migaku knowledge base.
| topic | claim | evidence level | citation | source |
|---|---|---|---|---|
| Prebiotic Gut Microbiome Meta-Analysis | Microbiome dysbiosis is microbial community imbalance that has been associated with diverse conditions, including inflammatory bowel disease (IBD), colorectal cancer (CRC), cardiometabolic disorders, and neurological diseases, highlighting the microbiome as both a biomarker source and a potential therapeutic target (). | 3 | Dewan Ahmed (2026) | Computational and multi-omics systems biology for precision microbiome therapeutics |
| Prebiotic Gut Microbiome Meta-Analysis | In a multi-cohort application, MintTea identified disease-associated multi-omic modules combining microbial taxa and metabolites that collectively associate with disease phenotypes. | 3 | Dewan Ahmed (2026) | Computational and multi-omics systems biology for precision microbiome therapeutics |
| Prebiotic Gut Microbiome Meta-Analysis | This multi-omics profiling approach integrated gut microbiome data with plasma protein information, leading to the identification of specific classifiers associated with liver disease. | 3 | Dewan Ahmed (2026) | Computational and multi-omics systems biology for precision microbiome therapeutics |
| Prebiotic Gut Microbiome Meta-Analysis | Pires et al., 2024 Flores et al., 2025 Yu 2018 Kant et al., 2025 Shahid, 2025 Tarzi et al., 2024 Aminian-Dehkordi et al., 2025 The human microbiome is recognized as a key regulator of host physiology, influencing metabolism, immunity, and neuroendocrine signaling across multiple body sites (). | 3 | Dewan Ahmed (2026) | Computational and multi-omics systems biology for precision microbiome therapeutics |
| Prebiotic Gut Microbiome Meta-Analysis | And for the last several decades, researchers have continued to provide evidence for the benefits of higher fiber intake, especially for cereal fibers, on an array of health outcomes, with the greatest effects reported among low-fiber consumers and consumers of Western-style diets (–). | 3 | Comerford Kevin B. (2026) | The impacts of ready-to-eat-cereals and cereal fibers on gut health, body weight, and cardiometabolic health |
| Prebiotic Gut Microbiome Meta-Analysis | Insoluble fibers, such as those primarily found in rice, corn, nuts, seeds, and vegetables tend to have more localized effects in the gastrointestinal tract such as by increasing fecal-bulking and fecal transit time, which can help promote bowel movement regularity and prevent constipation (,). | 3 | Comerford Kevin B. (2026) | The impacts of ready-to-eat-cereals and cereal fibers on gut health, body weight, and cardiometabolic health |
| Prebiotic Gut Microbiome Meta-Analysis | The first review focused on oats/oatmeal and wheat-based cereals and concluded that breakfast cereal consumption may be associated with improved bowel function, lower risk for obesity, lower cholesterol levels, and lower risk for type 2 diabetes (T2D), but these effects largely depended on the type of cereal consumed, with wheat- and oat-based cereals each showing unique effects on health outcomes (). | 3 | Comerford Kevin B. (2026) | The impacts of ready-to-eat-cereals and cereal fibers on gut health, body weight, and cardiometabolic health |
| Prebiotic Gut Microbiome Meta-Analysis | 1 3 4 5 6 7 8 9 10 14 15 16 17 19 20 Although dietary fiber is abundant in a variety of commonly consumed foods, total intake remains significantly lower than recommended levels throughout most of the world (–). | 3 | Comerford Kevin B. (2026) | The impacts of ready-to-eat-cereals and cereal fibers on gut health, body weight, and cardiometabolic health |
Source documents