ReviewMolecular neurobiology2024
Drug-Resistant Epilepsy and Gut-Brain Axis: an Overview of a New Strategy for Treatment.
Review in Molecular neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Probiotics in epilepsy treatment: a meta-analysis of efficacy and safety.Frontiers in microbiology · 2025Pooled it
- Review
- The gut microbiome and drug-resistant epilepsy: Microbiome-antiseizure medication interactions and implications for pharmacoresistance.Epilepsia open · 2026Review
- From association to intervention: Semantic trajectories and knowledge frontiers in epilepsy-gut microbiota research revealed by bibliometrics and NLP.IBRO neuroscience reports · 2026Review
- Etiology, Symptoms, and Treatment of Epilepsy: Advances and Perspectives.Brain sciences · 2026Article
- Exploratory Dietary Approaches for Drug-Resistant Epilepsy Beyond Standard Ketogenic Diet and Fish Oil: A Systematic Review of Preliminary Clinical Evidence.Neurology international · 2026Review
- Article
- A review of the pathogenesis of epilepsy based on the microbiota-gut-brain-axis theory.Frontiers in molecular neuroscience · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Drug-resistant epilepsy (DRE), also known as intractable epilepsy or refractory epilepsy, is a disease state with long-term poorly controlled seizures attack. Without effective treatment, patients are at an elevated risk of injury, premature death, mental disorders, and poor quality of life, increasing the need for a fresh perspective on the etiology and treatment of DRE. The gut is known to harbor a wide variety of microorganisms that can regulate the host's response to exogenous signals and participate in various physiological and pathological processes in the human body. Interestingly, emerging evidence has uncovered the changes in gut microbiota in patients with epilepsy, particularly those with DRE. In addition, both dietary interventions and specific antibiotic therapy have been proven to be effective in restoring the microecological environment and, more importantly, reducing seizures. Here, we reviewed recent studies on DRE and the involvement of gut microbiota in it, describing changes in the gut microflora composition in patients with DRE and corresponding animal models. Furthermore, the influence of the ketogenic diet, probiotics, fecal microbiota transplantation (FMT), and antibiotics as microbiome-related factors on seizure control and its possible mechanisms are broadly discussed. Finally, we highlighted the significance of gut microbiome in DRE, in order to provide a new prospect for early identification and individualized treatment of patients with DRE.
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.