ReviewGut microbes
Multi-omic approaches for host-microbiome data integration.
Review in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
100 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Worldwide research trends on theFrontiers in immunology · 2026Pooled it
- STROBE-causal machine learning for the human microbiome: systematic review on methodological innovations and validation frameworks.Frontiers in microbiology · 2026Pooled it
- HIV and the gut microbiome: future research hotspots and trends.Frontiers in microbiology · 2025Pooled it
- Personalized whole-body modeling links gut microbiota to metabolic perturbations in Alzheimer's disease.Gut microbes · 2026Article
- Gut microbiome in type 2 diabetes: insights from metagenomics, multi-omics, and diet-microbe interactions.Gut microbes · 2026Review
- Beyond bacilli: integrating the microbiome into the TB research agenda.Gut microbes · 2026Review
- Gut Microbiota Modulation in CNS Disorders: Therapeutic Strategies and Implications for Drug Efficacy.Molecular neurobiology · 2026Review
- From Genes to Diets: A Critical Review of Genetic, Nutrigenomic and Epigenetic Mechanisms in Type 2 Diabetes Mellitus.Nutrients · 2026Review
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Exploring the Oral Resistome: From Metagenomics to Precision Oral Health.Microorganisms · 2026Review
- Harnessing Probiotic LAB and Bacteriocins for Clean-Label Food Processing and Biopreservation: Omics, Molecular Innovations and Industrial Applications.Probiotics and antimicrobial proteins · 2026Review
- Integrating multi-omics technologies to decipher microbiome functions.Nature communications · 2026Review
- Foundation Models for Microbiome Research: From Sequence Semantics to Community Dynamics and Multimodal World Models.Advanced genetics (Hoboken, N.J.) · 2026Review
- [Research progress of metabolomics in the pathogenesis and treatment of constipation in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Review
- Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects.iMeta · 2026Review
- The silent pharmacist: Harnessing the gut microbiome to improve therapy in hematologic malignancies.Translational oncology · 2026Review
- Microbiome-metabolite signaling networks in gastrointestinal disease: systems biology, network rewiring, and precision therapeutics.Archives of microbiology · 2026Review
- Targeting tumor-associated bacteria in digestive system cancers: carcinogenic mechanisms and nano-regulate platform design.Journal of nanobiotechnology · 2026Review
- Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.Science China. Life sciences · 2026Review
- Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.Statistics in medicine · 2026Article
40 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The gut microbiome interacts with the host through complex networks that affect physiology and health outcomes. It is becoming clear that these interactions can be measured across many different omics layers, including the genome, transcriptome, epigenome, metabolome, and proteome, among others. Multi-omic studies of the microbiome can provide insight into the mechanisms underlying host-microbe interactions. As more omics layers are considered, increasingly sophisticated statistical methods are required to integrate them. In this review, we provide an overview of approaches currently used to characterize multi-omic interactions between host and microbiome data. While a large number of studies have generated a deeper understanding of host-microbiome interactions, there is still a need for standardization across approaches. Furthermore, microbiome studies would also benefit from the collection and curation of large, publicly available multi-omics datasets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.