ReviewNature reviews. Microbiology2017
Next-generation approaches to understand and combat the antibiotic resistome.
Review in Nature reviews. Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 208 papers, 2 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
208 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical values of metagenomic next-generation sequencing in patients with severe pneumonia: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2023Pooled it
- Machine learning for the meta-analyses of microbial pathogens' volatile signatures.Scientific reports · 2018Pooled it
- Gut Resistome after Antibiotics among Children with Uncomplicated Severe Acute Malnutrition: A Randomized Controlled Trial.The American journal of tropical medicine and hygiene · 2022Trial
- Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals.Scientific reports · 2020Trial
- Gut Resistome After Oral Antibiotics in Preschool Children in Burkina Faso: A Randomized, Controlled Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Trial
- Metagenomic-driven predictive biosafety and contamination traceability in stem cell manufacturing: Translating outbreak genomics into regenerative medicine.Regenerative therapy · 2026Review
- Antibiotic Resistance and Biofilm-Forming Capacity of Oral Biofilm Bacteria in Patients With Periodontitis and Healthy Individuals.MicrobiologyOpen · 2026Article
- A functionally selectedApplied and environmental microbiology · 2026Article
- Computational Genomics for Resistome Characterization: Current Advancements and Future Challenges Under a One Health Perspective.Antibiotics (Basel, Switzerland) · 2026Review
- Vibrio Community Structure Shapes the Diversity of Carbenicillin-Hydrolysing Class A β-Lactamase Circulating in European Coastal Environments.Environmental microbiology · 2026Article
- Positive epistasis among ribosomal mutations drives high-level streptomycin resistance inApplied and environmental microbiology · 2026Article
- Current Perspectives onInternational journal of molecular sciences · 2026Review
- Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array.Chemical science · 2026Article
- Gut check: Exploring tools, techniques, and future directions in microbiome research.Poultry science · 2026Article
- Paleopathology Meets Public Health: Deep-Time Syndemics and the Ecology of Emerging Infections.Pathogens (Basel, Switzerland) · 2026Review
- Antibiotic resistance genes in companion animals and humans driven by the gut microbial communities: composition, distribution, and implications.BMC veterinary research · 2026Article
- MetaRanker: precise profiling of antibiotic resistome risk in metagenomes by integrating abundance and genetic co-occurrence.Applied and environmental microbiology · 2026Article
- Reclaiming the Microbial Battlefield: Adjuvant Strategies to Overcome Antibiotic Resistance.Microorganisms · 2026Review
- Pathogenic Significance of Trypanosomatids: Progress in Drug Resistance, Control Strategies, and Artificial Intelligence.Interdisciplinary perspectives on infectious diseases · 2026Review
- Antimicrobial resistance within the one health lens: global drivers, mechanisms and public health policy gaps in low resource settings.Frontiers in cellular and infection microbiology · 2026Review
148 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
3 authors.
Funding
Abstract
Antibiotic resistance is a natural feature of diverse microbial ecosystems. Although recent studies of the antibiotic resistome have highlighted barriers to the horizontal transfer of antibiotic resistance genes between habitats, the rapid global spread of genes that confer resistance to carbapenem, colistin and quinolone antibiotics illustrates the dire clinical and societal consequences of such events. Over time, the study of antibiotic resistance has grown from focusing on single pathogenic organisms in axenic culture to studying antibiotic resistance in pathogenic, commensal and environmental bacteria at the level of microbial communities. As the study of antibiotic resistance advances, it is important to incorporate this comprehensive approach to better inform global antibiotic resistance surveillance and antibiotic development. It is increasingly becoming apparent that although not all resistance genes are likely to geographically and phylogenetically disseminate, the threat presented by those that are is serious and warrants an interdisciplinary research focus. In this Review, we highlight seminal work in the resistome field, discuss recent advances in the studies of resistomes, and propose a resistome paradigm that can pave the way for the improved proactive identification and mitigation of emerging antibiotic resistance threats.
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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.