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6 November 2025

Alteration of Gut Microbiota by Ketogenic Diet as an Alternative Therapeutic Target for Drug-Resistant Epilepsy

,
,
and
1
Department of Neurology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
2
State Key Laboratory of Genetics and Development of Complex Phenotypes, Department of Microbiology, Fudan Microbiome Center, School of Life Sciences, Fudan University, Shanghai 200438, China
*
Authors to whom correspondence should be addressed.

Abstract

As one of the most serious and widespread neurological disorders, epilepsy affects nearly 70 million people worldwide. In the development of this disease, significant alterations of gut microbiotas are often observed in the patients. During the treatment of drug-resistant epilepsy, which accounts for ~20–30% of cases, a ketogenic diet (KD), a diet containing high fat, adequate protein, and low carbohydrate, has been widely used and showed promising therapeutic effects. The underlying mechanisms of the neuroprotective effects of a KD have been suggested in recent studies to be connected to the gut microbiota, the composition of which is dramatically influenced by this treatment. In this review, we summarize the recent advances of the relationship between a KD, gut microbiota, and epilepsy, with an emphasis on the gut bacterial changes under KD treatment, hoping to delineate the gut microbiota as a potential therapeutic target in epilepsy.

1. Introduction

The human gut microbiota has received immense attention from the fields of microbiology, genetics, and basic and clinical medicine in recent years, and it has been found to play important roles in the immune, endocrine, neurological, and other systems of the human body [1]. The bidirectional signaling network linking the gastrointestinal tract and central nervous system (CNS), known as the gut–brain axis, has been extensively studied for its critical relationship to health and disease [2]. Recently, with the in-depth study of the gut microbiota, the notion has been extended to including the microbiota, termed the “microbiota–gut–brain axis”. The concept associates gut microbiota with various CNS disorders, like epilepsy, Alzheimer’s disease [3], Parkinson’s disease [4], autism spectrum disorder [5], and multiple psychiatric disorders like stress, anxiety, and depression [6]. As the most serious and widespread neurological disorder, epilepsy usually starts in infancy and lasts for an individual’s lifetime. Nearly 70 million people worldwide are affected by it, and approximately~20–30% of these patients are resistant to routine antiepileptic drugs [7]. According to the ad hoc Task Force of the International League Against Epilepsy, those who fail to achieve lasting freedom from seizures after adequate trials with monotherapy or multi-drug combinations of first-line antiepileptic drugs are diagnosed as having drug-resistant epilepsy (DRE) [8]. Interestingly, patients with epilepsy (PWEs) often suffer from gastrointestinal symptoms, and patients with inflammatory bowel disease are more susceptible to epilepsy [9]. A considerable number of studies on gut microbiota and epilepsy have been published, many of which emphasized the significant impacts of dietary intervention. Among these interventions, a ketogenic diet (KD), a high-fat, low-carbohydrate, and adequate-protein diet established early in the 1920s by Wilder [10], has proven efficacy for refractory epilepsy [5,11]. Dramatic compositional changes in gut microbiota in refractory epilepsy patients and the therapeutic effects of KD on epilepsy via regulating gut microecology have been demonstrated in many studies [12,13,14]. However, the gut microbiota’s mechanistic role in the KD’s therapeutic effects to intractable epilepsy has not been fully illustrated. In this review, recent advances regarding the associations of gut microbiota, DRE, and a KD are discussed.

2. Gut Microbiota and DRE

2.1. Microbiota–Gut–Brain Axis

The human gut microbiota is a complex microbial ecosystem that maintains immune, endocrine, metabolic, and neurological homeostasis [15]. It is estimated that over 100 trillion microorganisms, representing more than 1000 species, inhabit the adult gastrointestinal tract, with Firmicutes and Bacteroidetes constituting more than 90% of the microbial population [16,17,18]. This composition is shaped by numerous internal and external factors, such as diet, medication, age, and lifestyle [19,20]. Among these, diet exerts the most profound and immediate influence, capable of modifying microbial diversity and metabolic functions within days.
The microbiota–gut–brain axis describes the bidirectional communication network connecting the intestinal microbiota and the central nervous system (CNS) [21,22,23]. This interaction occurs through multiple pathways: (1) the neural (vagus nerve) pathway; (2) the neuroendocrine–hypothalamic–pituitary–adrenal (HPA) axis; (3) the immune system; (4) microbially derived neurotransmitters and neuromodulators; and (5) the intestinal mucosal and blood–brain barriers (BBBs) [24,25]. Through these mechanisms, the brain modulates gut motility, secretion, and permeability, while the microbiota regulates neurotransmitter synthesis, neuroinflammation, and neuronal excitability [26,27].
Microbial metabolites such as short-chain fatty acids (SCFAs), bile acids, and tryptophan derivatives play key roles in maintaining BBB integrity, microglial activation, and the balance of excitatory and inhibitory neurotransmission, particularly glutamate and γ-aminobutyric acid (GABA) [27,28]. Disruption of this axis, termed dysbiosis, can result in decreased SCFA production, impaired immune signaling, and altered neurotransmitter metabolism, contributing to the pathogenesis of several neurological disorders, including epilepsy [29,30].

2.2. Evidence of Microbiota Dysbiosis in DRE Cases

Vast evidence from animals and human studies has shown that the gut microbiota plays a critical role in brain development and functioning [4,16,29,30]. With the wide use of 16S rRNA sequencing technology, the latest population-based studies revealed not only gut microbiota differences between PWEs and healthy controls (HCs) but also gut bacterial composition variations between individuals with DRE and drug-sensitive epilepsy (DSE, Table 1). These differences between healthy controls and individuals with epilepsy have suggested the possible roles of gut microbes in the pathogenesis of epilepsy. Here, we elaborate on the relationship between the gut microbiota and epilepsy in clinical cases and discuss the modulation of gut microbiota in epilepsy patients.
One of these studies assessed the gut microbe’s diversity in a Turkish cohort with idiopathic focal epilepsy (N = 30) and a HC group (N = 10) by 16s rRNA sequencing in 2018 [31]. Safak et al. [32] analyzed seven main phyla from all samples and unveiled the difference in microbiota at the phylum and species level in the HC group and PWEs. Proteobacteria were found to be higher in PWEs (25.4%) than in HCs (1.5%). Fusobacteria were detected in 10.6% of the PWEs but not in the HCs, while Firmicutes, Bacteroidetes, and Actinobacteria were found to be higher in the HCs than in PWEs. These significant differences in gut microbiota composition suggest that bacterial dysbiosis may play a key role in the etiology of epilepsy. Of note, there was a potentially confounding factor in Safak’s study: the absence of family controls to eliminate the possible effects caused by baseline dietary differences. Another study by Lindefeldt et al. [33] eliminated this confounder by analyzing fecal samples from 12 Swedish children with DRE (aged 2~11 years) and 11 healthy parents, who served as controls, using shotgun metagenomic sequencing. In the patient group, fecal microbiota diversity showed a slight decrease, and the microbiota of children with DRE presented a higher variability. In addition, the relative abundances of Bacteroidetes and Proteobacteria decreased, while both Firmicutes and Actinobacteria increased in children with DRE. The authors also noted that the expression of genes involved in the acetyl-CoA pathway, such as acetyl-CoA acetyltransferase and β-hydroxybutyric-CoA dehydrogenase, were reduced in the patients’ microbiota compared with those in the HCs. Subsequently, following the preliminary analysis of gut microbiota differences between DRE patients and controls, Lindefeldt et al. [33] proceeded to conduct a KD management intervention, which will be discussed in the following section.
Gut microbiota analysis can also be used to determine the difference between drug-sensitive and drug-resistant individuals. The first study of this kind was published in 2018 [34], where Peng and colleagues performed high-throughput 16S rRNA gene sequencing of fecal samples of the participants. After comparing the microbial compositions of DRE patients (N = 42), DSE patients (N = 49), and HCs (N = 65, from the same families as the patients), they found that the DRE group had significantly increased α-diversity compared with the HCs. They also observed that DSE patients and HCs normally had more Bacteroidetes than Firmicutes, while this ratio was reversed in DRE patients. The abundances of specific bacterial genera also increased abnormally [34], including Clostridium XVIII, Akkermansia, Atopobium, Holdemania, Dorea, Delftia, Coprobacillus, Paraprevotella, and Fusobacterium. In addition, the levels of Lactobacillus and Bifidobacteria were elevated in individuals with fewer seizures (≤4 per year). Meanwhile, the DSE patients displayed comparable community richness and evenness to those of the HCs [34]. These results suggested that dysbiosis might be involved in the pathogenesis of DRE, and the restoration of gut microbiota might be a new method of treatment.
In line with the principle of comparing drug responders and non-responders, Gong and colleagues designed an analysis to display these changes [35]. They performed two independent cross-sectional analyses, including an exploration and a validation cohort, aiming to use the gut microbiota as a biomarker for epilepsy. The exploration cohort contained 55 PWEs and 46 HCs, who were healthy spouses of the patients, and another cohort contained 13 PWEs and 10 HCs. Inclusion and exclusion criteria were similar to the above-mentioned study by Peng et al. [34]. The alpha diversity indexes of the specimens from PWEs were much lower than those from the HCs (p < 0.05). Microbiota alterations in PWEs included increases in Actinobacteria and Verrucomicrobia and a decrease in Proteobacteria at the phylum level, and rises in Prevotella_9, Blautia, Bifidobacterium, and others at the genus level [35]. In the subsequent sample analysis, 30 DRE patients were compared to 25 DSE patients in the exploration cohort, and the authors found that DRE patients showed significant enrichment in Actinobacteria, Verrucomicrobia, and Nitrospirae, as well as the genera Blautia, Bifidobacterium, Subdoligranulum, Dialister, and Anaerostipes [35].
Table 1. Representative studies on gut microbiota and epilepsy.
Table 1. Representative studies on gut microbiota and epilepsy.
YearPopulation (N, Age)MethodologyFindingsCountryStudy
2023DRE (12, NA)
HCs (12, NA)
Fecal samples
16S rRNA sequencing
Akkermansia muciniphila,
Parabacteroides gordonii
AmericaLum et al. [36]
2021DREPs (20, 41 ± 13.6 years)
DSEPs (20, 44 ± 17.2 years)
Fecal samples
16S rRNA sequencing
↔ α-diversity, β-diversity
↑ Firmicutes, Bifidobacterium, Shigella, Veillonellales, Klebsiella, Streptococcus
↓ Bacteroidetes, Ruminococcus_g2, Bifidobacterium
KoreaLee et al. [37]
2020Exploration cohort:
PWEs (55, 15∼50 years),
HCs (46, NA)/
DRE (30, NA), DSE (25, NA)
Validation cohort:
PWEs (13, NA), HCs (10, NA)
Fecal samples
16S rRNA sequencing
↓ α-diversity
↑ Actinobacteria, Verrucomicrobia, Nitrospirae, Blautia, Bifidobacterium, Subdoligranulum, Dialister, Anaerostipes ↓ Bacteroidetes, Proteobacteria
ChinaGong et al. [35]
2020IEPs (8, 1.16–6.92 years),
HCs (32, 1.16–6.92 years)
Fecal samples
16S rRNA sequencing
↓ α-diversity
↑ Firmicutes, Actinobacteria, Verrucomicrobia ↓Bacteroidetes, Proteobacteria
KoreaLee et al. [38]
2020IEPs (30, 41.3 ± 12.2 years),
HCs (10, 31.7 ± 6.8 years)
Fecal samples
16S rRNA sequencing
α-diversity NA
↓ Firmicutes, Bacteroidetes, Actinobacteria, Euryarchaeota
↑ Proteobacteria, Fusobacteria, Spirochaetes
TurkeyBirol Şafak et al. [32]
2019DREPs (20, 2–17 years),
HCs (11, NA)
Fecal samples
Metagenomic sequencing
↔ α-diversity
↑ Firmicute, Actinobacteria ↓Bacteroidetes, Proteobacteria
SwedenLindefeldt et al. [33]
2018DREPs (42, 28.4 ± 12.4 years),
DSEPs (49, 25.1 ± 14.6 years),
HCs (65, 29.4 ± 13.8 years).
Fecal samples
16S rRNA sequencing
↑ α-diversity
↑ Firmicutes, Verrucomicrobiota, Clostridium XVIII, Akkermansia, Atopobium, Holdemania, Dorea, Delftia, Coprobacillus, Paraprevotella, Fusobacterium, etc.
↓ Bacteroidetes
ChinaPeng et al. [34]
Abbreviations: PWEs, patients with epilepsy; IEPs, idiopathic/intractable epilepsy patients; DREPs, drug-resistant epilepsy patients; DSEPs, drug-sensitive epilepsy patients; HCs, healthy controls; NA, not available. ↑ Increase in abundance. ↓ Decrease in abundance. ↔ No significant changes in abundances.
Considering the inconsistent results of the published studies regarding the gut microbiota as a diagnostic biomarker of DRE that had been published at that time, Lee et al. [38] analyzed fecal samples from a population of 8 Korean children aged 1~7 years old with intractable epilepsy and 32 age-matched HCs. Using the 16S rRNA gene sequencing approach, they found that α-diversity was higher in epilepsy patients, and β-diversity showed a clear difference in bacterial composition between the two groups. In the epilepsy group, the amount of Bacteroidetes was lower and the amount of Actinobacteria was higher than in the healthy group. Species biomarkers for intractable epilepsy included the Enterococcus faecium group, Bifidobacterium longum group, and Eggerthella lenta. By analyzing those data, the authors confirmed that patients with intractable epilepsy did, indeed, have gut bacterial dysbiosis. The following year, Lee and colleagues [37] conducted another exploratory trial based on adult patients at their clinic. They prospectively included 44 adult epilepsy patients and classified them into drug-responsive and drug-resistant groups but found no differences in α or β diversity between the two groups. While the abundances of Firmicutes, Bifidobacterium, Shigella, Veillonellales, Klebsiella, and Streptococcus increased in DRE patients, the relative abundances of Bacteroides, Ruminococcus_g2, and Bifidobacterium were augmented in DSE patients. The significant difference in the composition of gut microbiota among patients with DRE and DSE supported the conclusions in Peng and Gong’s research.
Most recently, Lum et al. [36] conducted a dual human–mouse study in a U.S. pediatric cohort to investigate microbial dysbiosis in epilepsy. The authors observed that children with DRE exhibited lower microbial diversity but enrichment of Akkermansia muciniphila and Parabacteroides gordonii. Importantly, fecal microbiota transplantation from DRE patients into germ-free mice significantly increased seizure thresholds and reduced seizure frequency, confirming that the gut microbiota directly modulates seizure susceptibility. These findings provided the first causal evidence in humans and mice linking microbiota alterations to seizure control.
Taken together, these six clinical studies assessed the diversity and composition of gut microbiota in PWEs and suggested the existence of microbial dysbiosis in DRE patients, indicating the potential value of using the gut microbiota as a sensitive biomarker for diagnosis and a treatment target to enhance control of seizures. Notably, most studies showed that α-diversity in the HC group was higher than that in the DRE group [32,33,35,37,38]. However, Peng’s study demonstrated an opposite trend, with increased α-diversity in the DRE group [34], which indicated that the alteration of microbiota in epilepsy patients might not always be consistent. Considering the influence of study design, age, diet, living environment, and other impacts on gut microbes, a larger-sample analysis based on reasonable control variables is still needed.

4. Conclusions

Over the past decade, gradually emerging evidence has supported a crucial connection between the microbiota–gut–brain axis and epilepsy. Gut microbes appear to be key modulators of central nervous system signaling, particularly in DRE treated with the KD. Both animal and human studies suggest that the KD’s antiepileptic effects may depend, at least in part, on microbiota-mediated mechanisms. In this review, we summarize recent murine experimental data and clinical evidence to explore the association between gut microbiota, the KD, and DRE (as schematically summarized in Figure 1). Based on these findings, it is reasonable to speculate that gut microbiota dysbiosis may be a strong factor in both the development and severity of epilepsy. Notably, our recent metagenomic and bioinformatic analyses revealed that the abundance of certain bacteria, such as A. muciniphila and Parabacteroides gordonii—previously identified as antiepileptic species by Olson et al. [67]—increased dramatically following KD treatment, consistent with their demonstrated capacity for lipid utilization in vitro [81]. However, for other bacteria, abundance and growth rates were not correlated, suggesting that KD-induced changes in microbial composition may also be driven by non-nutritional factors.
Figure 1. Integrated model illustrating microbiota–metabolite–neural pathways linking ketogenic diet to seizure modulation.
These findings deepen our understanding of how the KD reshapes the gut ecosystem to exert its therapeutic effects. Nonetheless, several critical questions remain unresolved, including the multifaceted mechanisms by which microbial metabolites influence seizure susceptibility and how microbiota can be leveraged as therapeutic targets. To address these gaps, future studies should adopt multi-omics strategies, integrating metagenomics, metabolomics, and transcriptomics, to more precisely identify key microbial taxa, metabolic pathways, and bioactive metabolites associated with seizure control.
Importantly, translating these findings into clinical practice will require exploration of microbiota-oriented interventions, such as probiotics, prebiotics, and personalized dietary approaches, as adjunctive strategies to enhance the efficacy of the KD in DRE management. A systems-level understanding of host–microbe interactions will provide new insights into the pathogenesis of epilepsy and the development of microbiome-based precision therapies.

Author Contributions

Conceptualization, W.W., J.W., and Y.W.; resources, W.W., Y.W. and J.W.; data curation, M.T. and W.W.; writing—original draft preparation, M.T.; writing—review and editing, W.W. and Y.W. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by High Technology Research and Development Center, Ministry of Science and Technology of the People’s Republic of China (2019YFA0801900); the Fundamental Research Funds for the Central Universities (YG2023QNB22); and Epilepsy Research Fund of China Association Against Epilepsy (CJ-B-2021-21); the National Natural Science Foundation of China (NSFC) (No. 22122702), and Beijing National Laboratory for Molecular Sciences (BNLMS202306).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The authors have reviewed and edited the output and take full responsibility for the contents of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
KD ketogenic diet
CNScentral nervous system
DREdrug-resistant epilepsy
PWEspatients with epilepsy
IEPsidiopathic/intractable epilepsy patients
DREPsdrug-resistant epilepsy patients
HCshealthy controls
RErefractory epilepsy

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