ReviewComputational and structural biotechnology journal2023
The application of multi-omics in the respiratory microbiome: Progresses, challenges and promises.
Review in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 11 citations in OpenAlex.
- Role of Oral-Lung Infection Axis on Respiratory Health.Biomedicines · 2026Review
- The respiratory microbiome: dynamics from health to disease.FEMS microbiology ecology · 2026Review
- Review
- The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026Review
- Systems perspectives on pediatric otitis media: environmental exposures, genetic susceptibility, and biomarker-guided interventions.Frontiers in pediatrics · 2026Review
- The airway epithelial-immune axis: mechanisms and therapeutic implications.Frontiers in immunology · 2026Review
- COPD-Lung Cancer Comorbidity: Mechanistic Insights and Precision Oncology Implications.International journal of chronic obstructive pulmonary disease · 2026Review
- The Respiratory Tract Microbiome and Human Health.Microbial biotechnology · 2025Review
- Feline herpesvirus type 1 infection alters the diversity of upper respiratory tract microbiota in cats.Frontiers in veterinary science · 2025Article
- Lung microbiota: implications and interactions in chronic pulmonary diseases.Frontiers in cellular and infection microbiology · 2024Review
- Microbes for lung cancer detection: feasibility and limitations.Frontiers in oncology · 2024Review
- Current progresses and challenges for microbiome research in human health: a perspective.Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study of the respiratory microbiome has entered a multi-omic era. Through integrating different omic data types such as metagenome, metatranscriptome, metaproteome, metabolome, culturome and radiome surveyed from respiratory specimens, holistic insights can be gained on the lung microbiome and its interaction with host immunity and inflammation in respiratory diseases. The power of multi-omics have moved the field forward from associative assessment of microbiome alterations to causative understanding of the lung microbiome in the pathogenesis of chronic, acute and other types of respiratory diseases. However, the application of multi-omics in respiratory microbiome remains with unique challenges from sample processing, data integration, and downstream validation. In this review, we first introduce the respiratory sample types and omic data types applicable to studying the respiratory microbiome. We next describe approaches for multi-omic integration, focusing on dimensionality reduction, multi-omic association and prediction. We then summarize progresses in the application of multi-omics to studying the microbiome in respiratory diseases. We finally discuss current challenges and share our thoughts on future promises in the field.
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.