The intriguing relationship between epilepsy and type 1 diabetes mellitus

Exploring the clinical connections between epilepsy and diabetes mellitus: Promising therapeutic strategies utilizing agmatine and metformin

PURPOSE

Diabetes mellitus (DM) and epilepsy and the psychological and socio-economic implications that are associated with their treatments can be quite perplexing. Metformin is an antihyperglycemic medication that is used to treat type 2 DM. In addition, metformin elicits protective actions against multiple diseases, including neurodegeneration and epilepsy. Recent studies indicate that metformin alters the resident gut microbiota in favor of species producing agmatine, an arginine metabolite which, in addition to beneficially altering metabolic pathways, is a potent neuroprotectant and neuromodulant.

METHODS

We first examine the literature for epidemiological and clinical evidences linking DM and epilepsy. Next, basing our analyses on published literature, we propose the possible complementarity of agmatine and metformin in the treatment of DM and epilepsy.

RESULTS

Our analyses of the clinical data suggest a significant association between pathogeneses of epilepsy and DM. Further, both agmatine and metformin appear to be multimodal therapeutic agents and have robust antiepileptogenic and antidiabetic properties. Data from animal and clinical studies largely support the use of metformin/agmatine as a double-edged pharmacotherapeutic agent against DM and epilepsy, particularly in their concurrent pathological occurrences.

CONCLUSION

The present review explores the evidences and available data on possible uses of metformin/agmatine as pertinent antidiabetic and antiepileptic agents. Our hope is that this will stimulate further research on the therapeutic actions of these multimodal agents, particularly for subject-specific clinical outcomes.

Potential causal association of diabetes mellitus and blood glucose related indexes with the onset of epilepsy: a two-sample Mendelian randomization study

Aim

Diabetes mellitus (DM) may promote the occurrence of epilepsy through mechanisms, such as inflammation, immune imbalance, and cerebrovascular injury, caused by metabolic abnormalities. However, evidence for the effects of DM and blood glucose (BG) on the risk of epilepsy is limited. Herein, this study used the Mendelian randomization (MR) method to investigate the potential causal associations of DM and BG-related indexes with epilepsy.

Methods

In this two-sample MR study, summary statistics data of the genome-wide association studies (GWASs) on exposures, including type 1 diabetes mellitus (T1DM), T2DM, fasting glucose, and glycated hemoglobin (HbAlc), were extracted from the MRC-Integrative Epidemiology Unit (MRC-IEU). The GWAS data on study outcomes, including epilepsy, focal epilepsy, and generalized epilepsy, were obtained from the FinnGen consortium. MR-Egger regression was used to examine horizontal pleiotropism of instrumental variables (IVs), and Cochran's Q statistics was used to quantify the heterogeneity. MR analysis methods including inverse variance weighted (IVW) tests, weighted median, and MR-Egger were utilized to investigate the causal associations between DM and BG-related indexes with epilepsy. The evaluation indexes were odds ratios (ORs) and 95% confidence intervals (CIs). Reverse causal association analyses were also performed. In addition, IVW-radial and leave-one-out tests were utilized for sensitivity analyses.

Results

IVW estimates suggested that T1DM has potential causal associations with epilepsy (OR = 1.057, 95% CI: 1.031-1.084) and generalized epilepsy (OR = 1.066, 95% CI: 1.018-1.116). No significant reverse causal associations of T1DM with epilepsy or generalized epilepsy were found (all P > 0.05). In addition, sensitivity analysis results identified no outlier, indicating that the associations of T1DM with epilepsy and generalized epilepsy were relatively robust.

Conclusion

Patients with T1DM had a potential risk of developing epilepsy, and prompt treatment of DM and dynamic monitoring may be beneficial to prevent epilepsy in this high-risk population. However, the causal associations of DM and BG with epilepsy may warrant further verification.

Leukotriene antagonists reduce epileptic seizures-related hospitalization in older adult populations with allergic rhinitis or asthma: A population-based cohort study using the Shizuoka Kokuho database: The Shizuoka study

OBJECTIVE

Managing the risk of epileptic seizures in older adults is increasingly important as the population ages. Leukotriene receptor antagonists (LTRAs) are commonly used to treat asthma or allergic rhinitis. Preclinical studies suggest that LTRAs have antiepileptic effects; however, few population-based etiological studies on this topic have been available. Our study explored whether LTRAs reduce hospitalization risk associated with epileptic seizures in older individuals with asthma or allergic rhinitis.

METHODS

We conducted a new-user design analysis using the Shizuoka Kokuho database. We included all individuals aged 60-89 years who had at least one episode of allergic rhinitis or asthma during the study period. We compared individuals who newly started LTRAs with those who did not take LTRAs. Propensity score matching was used to balance the baseline characteristics of the participants. We compared the hazard ratios for seizure-related hospitalization between new LTRA users and non-users and performed subgroup analyses.

RESULTS

Our matched cohorts consisted of 64 724 new users and non-users of LTRAs who were aged 60-89 years and had asthma or allergic rhinitis. During the observation period, 377 (0.58%) and 595 (0.92%) incidents were observed in the LTRA new-user and non-user groups, respectively. The hazard ratio for seizure-related hospitalization was 0.75 (95% confidence interval [CI]: 0.62-0.92) in the LTRA new-user group compared with the non-user group. Subgroup analysis revealed that the hazard ratio was weak in diabetic patients (1.31; 95% CI: 0.72-2.38).

SIGNIFICANCE

This study indicated that LTRAs reduced seizure-related hospitalization in older adult patients with allergic rhinitis or asthma. We could not evaluate the severity and related diseases of epileptic seizures during LTRAs. Further studies, including observational studies, detailed multicenter prospective studies, and clinical trials, are needed to validate these findings.

PLAIN LANGUAGE SUMMARY

This study examined if leukotriene receptor antagonists (LTRAs), commonly used for asthma or allergies, could lower seizure risk in older adults. Analyzing health records of 60-89 year-olds with asthma or allergies, we found a reduced rate of seizure-related hospitalizations in those starting LTRAs, though this was not as evident in diabetic patients. Our results suggest potential benefits of LTRAs in preventing seizures in older adults with respiratory issues, but further research is needed to confirm these findings.

Seizing the Connection: Exploring the Interplay Between Epilepsy and Glycemic Control in Diabetes Management

Epilepsy, a neurological disorder characterized by recurrent seizures, and diabetes, a metabolic disorder characterized by impaired regulation of glucose levels, are two distinct conditions that may appear unrelated at first glance. Nevertheless, recent scholarly investigations have revealed these entities' intricate and ever-evolving interplay. This review initially delves into the intricate interplay between epilepsy and its potential ramifications on glycemic control. Seizures, particularly those accompanied by convulsive manifestations, have the potential to induce acute perturbations in blood glucose levels via diverse mechanisms, encompassing the liberation of stress hormones, the emergence of insulin resistance, and the dysregulation of the autonomic nervous system. Comprehending these intricate mechanisms is paramount in customizing productive strategies for managing diabetes in individuals with epilepsy. On the contrary, it is worth noting that diabetes can substantially impact the trajectory and control of epilepsy. The correlation between hyperglycemia and an elevated susceptibility to seizures, as well as the potential for exacerbating the intensity of epilepsy, has been established. This narrative review offers a concise exposition of the intricate interplay between epilepsy and glycemic control within diabetes management. The objective of exploring reciprocal influences, underlying mechanisms, and common risk factors is to augment the clinical comprehension of this intricate interconnection. In essence, this acquired knowledge possesses the potential to serve as a guiding compass for healthcare professionals, enabling them to craft bespoke therapeutic approaches that enhance the holistic welfare of individuals grappling with the coexistence of epilepsy and diabetes.

Glycaemic Imbalances in Seizures and Epilepsy of Paediatric Age: A Literature Review

Cerebral excitability and systemic metabolic balance are closely interconnected. Energy supply to neurons depends critically on glucose, whose fluctuations can promote immediate hyperexcitability resulting in acute symptomatic seizures. On the other hand, chronic disorders of sugar metabolism (e.g., diabetes mellitus) are often associated with long-term epilepsy. In this paper, we aim to review the existing knowledge on the association between acute and chronic glycaemic imbalances (hyper- and hypoglycaemia) with seizures and epilepsy, especially in the developing brain, focusing on clinical and instrumental features in order to optimize the care of children and adolescents and prevent the development of chronic neurological conditions in young patients.

Does glucose influence multidien cycles of interictal and/or ictal activities?

PURPOSE

There are multidien patterns of seizure occurrence. Predicting seizure risk may be easier with biomarker correlates to multidien patterns. We hypothesize multiday hyper or hypoglycemia contributes to seizure risk.

METHODS

In a type I diabetic (T1D) with focal onset epilepsy with continuous glucose monitoring (CGM) and responsive neurostimulation (RNS) devices, we studied multiday interictal activities (IEA), seizures, and glucose. Hourly CGM data was matched to hourly RNS captures of interictal and ictal activities over 33 months. RNS detection settings were unchanged. Multidien cycles were analyzed, active blocks of IEA and ictal episodes defined, and tissue glucose averages studied.

RESULTS

Average glucose was 161 mg/dl. A 40-day cycle of interictal and ictal activities occurred, though no similar glucose cycle was evident. Glucose elevations relative to patient average were associated with increases in IEA but not seizure. Frequent seizures were not associated with obvious elevations or decreases of glucose from baseline, most seizures occurred at +/- 10 mg/dl of average daily glucose (i.e. 150-170 mg/dl).

CONCLUSION

Tissue glucose may influence IEA but may not influence multiday seizure activity or very frequent seizures. In an ambulatory T1D patient multiday hypo or hyperglycemic extremes do not appear to provoke seizure activities.

Overrepresentation of epilepsy in children with type 1 diabetes is declining in a longitudinal population study in Finland

AIM

The aim was to determine temporal changes in increased risk of epilepsy among children with type 1 diabetes.

METHODS

The incidence of epilepsy up to age 15 in children with prior type 1 diabetes was analysed regarding the general Finnish child population using data from the Finnish nationwide hospital register. Type 1 diabetes and epilepsy were identified by the International Classification of Diseases 9th and 10th revision codes. Epilepsy was defined according to ILAE guidelines. The analyses were done using negative binomial regression models.

RESULTS

Preceding type 1 diabetes was diagnosed in 6162 (0.91%) of the 679 375 general children population. Incidence rate of new-onset epilepsy among children with type 1 diabetes was higher than in controls (140 vs 82 per 100 000 person-years at risk, respectively). The excess incidence diminished with time (P = 0.033 for diabetes to birth cohort interaction), from over twofold in birth cohort 1990-1993 [incidence rate ratio 2.2 (95% CI 1.7-2.9)] to 40% in birth cohort 1998-2000 [1.4 (95% CI 1.001-1.9)].

CONCLUSION

In a population study setting, children with type 1 diabetes had an increased, but slowly declining risk of developing epilepsy. Future research may elucidate the underlying mechanisms.

Dealing with the storm: An overview of seizure precipitants and spontaneous seizure worsening in drug-resistant epilepsy

In drug-resistant epilepsy, periods of seizure stability may alternate with abrupt worsening, with frequent seizures limiting the individual's independence and physical, social, and psychological well-being. Here, we review the literature focusing on different clinical scenarios related to seizure aggravation in people with drug-resistant epilepsy. The role of antiseizure medication (ASM) changes is examined, especially focusing on paradoxical seizure aggravation after increased treatment. The external provocative factors that unbalance the brittle equilibrium of seizure control are reviewed, distinguishing between unspecific triggering factors, specific precipitants, and 'reflex' mechanisms. The chance of intervening surgical or medical conditions, including somatic comorbidities and epilepsy surgery failure, causing increased seizures is discussed. Spontaneous exacerbation is also explored, emphasizing recent findings on subject-specific circadian and ultradian rhythms. Awareness of external precipitants and understanding the subject-specific spontaneous epilepsy course may allow individuals to modify their lifestyles. It also allows clinicians to counsel appropriately and to institute suitable medical treatment to avoid sudden loss of seizure control.

Association between type 1 diabetes mellitus and risk of epilepsy: A meta-analysis of observational studies

A potential association between type 1 diabetes mellitus and subsequent epilepsy emerged in recent studies. This study aimed to evaluate the possible relationship between type 1 diabetes mellitus and epilepsy using meta-analysis. Pubmed, ISI Web of Knowledge, Embase and Cochrane Library were searched for potential studies of the association between type 1 diabetes mellitus and epilepsy from inception to February 1, 2017. Two investigators independently screened studies for inclusion and extracted related data; discrepancies were solved by consensus. Random effects model of Hazard Ratio (HR) was used to estimate the strength of association. We identified 13 papers from potentially relevant articles of which 3 cohort studies met the inclusion criteria. Random effects meta-analysis showed that type 1 diabetes mellitus was associated with an increased risk of epilepsy with HR = 3.29 (95% CI: 2.61-4.14; I² = 0, p = 0.689). Similar results were observed in type 1 diabetes mellitus patents younger than 18-years-old with HR = 2.96 (95% CI: 2.28-3.84; I² = 0, p = 0.571). Meta-analysis of 2 studies that adjusted for potential confounders yielded an increased risk of epilepsy with HR = 2.89 (95% CI: 2.26-3.70; I² = 0, p = 0.831). The meta-analysis indicates that type 1 diabetes mellitus is associated with a statistically significant increased risk for epilepsy compared to those without type 1 diabetes mellitus.

Epilepsy in children with type 1 diabetes mellitus: Pathophysiological basis and clinical hallmarks

We provide an overview on the current knowledge about the association between epilepsy and type 1 diabetes mellitus (T1DM). People with T1DM have a 2-6-fold higher risk of epilepsy than the general population. The onset of T1DM anticipates the onset of epilepsy by a mean period between 1,5 and 2,8 years. These two disorders share four potential distinct pathogenic factors: a) genetic predisposition; b) factors involved in autoimmune responses (i.e. anti-glutamic acid decarboxylase antibodies-GADAbs); c) effects of hypo/hyperglycaemia; d) cerebrovascular damages resulting in ischaemic processes. Seizures semiology prominently includes focal (up to patterns of epilepsia partialis continua) or secondarily generalized seizures but also reflex seizures and various forms of generalized seizures. EEG abnormalities are more common in people with an inappropriate metabolic control with a prominent involvement of fronto-temporal regions. Epilepsy management does not differ between patients with and without diabetes and insulin, nutritional recommendations and physical activity may also produce significant benefits on seizures control. Possible therapeutic alternatives in selected cases include immunosuppressive drugs (in patients with GADAbs) and ketogenic diet.

Continuous monitoring devices and seizure patterns by glucose, time and lateralized seizure onset

Objectives

To investigate if glucose levels influence seizure patterns.

Materials and methods

In a patient with RNS/NeuroPace implanted bi-temporally and type 1 diabetes mellitus, seizure event times and onset locations were matched to continuous tissue glucose.

Results

Left focal seizure (LFS, n = 22) glucoses averaged 169 mg/dL, while right focal seizure (RFS, n = 23) glucoses averaged 131 mg/dL (p = 0.03). LFS occurred at mean time 17:02 while RFS occurred at 04:23. LFS spread to the contralateral side (n = 19) more than RFS (n = 2).

Conclusion

Seizure onset laterality and spread vary with glucose and time of seizure.

A population-based study of epilepsy incidence in association with type 2 diabetes and severe hypoglycaemia

AIMS

This study was conducted to investigate potential link between type 2 diabetes mellitus (T2DM) and epilepsy, and the role of severe hypoglycaemia (SH) might play in the relationship.

METHODS

This was a cohort study based on Taiwan's National Health insurance claims. Totally 751,792 people with T2DM and 824,253 matched controls were identified in 2002-2003 and followed to incidence of epilepsy or end of 2011. We used Cox proportional hazard model to relate epilepsy incidence to separate and joint effects of T2DM and SH. A possible mediation effect of SH on the association between T2DM and epilepsy was analyzed.

RESULTS

Over a 10-year follow-up, patients with T2DM had a higher incidence rate of epilepsy than controls (35.0 vs 21.9 per 10,000 person-years). After controlling for potential confounders including SH, T2DM increased the hazard of epilepsy by some 50%. The stratified analysis further indicated that T2DM (hazard ratio (HR)=1.44, 95% confidence interval (CI) = 1.40-1.47), and SH (HR = 2.22, 95% CI = 1.76-2.81) were both independent risk factors for epilepsy. SH did not modify but mediated 12% of the association between T2DM and epilepsy.

CONCLUSION

Our findings supported that SH may increase the risk of epilepsy, and that T2DM may increase risk of epilepsy independent of SH.

Type 1 diabetes mellitus and risk of incident epilepsy: a population-based, open-cohort study

AIMS/HYPOTHESIS

The aim of this research was to explore the relationship between incident epilepsy and type 1 diabetes in British participants.

METHODS

Using The Health Improvement Network database, we conducted a retrospective, open-cohort study. Patients who were newly diagnosed with type 1 diabetes mellitus at the age of ≤40 years were identified and followed-up from 1 January 1990 to 15 September 2015. These patients, identified as not suffering from epilepsy at the time of diagnosis, were randomly matched with up to four individuals without type 1 diabetes mellitus, based on age, sex and participating general practice. A Cox regression analysis was subsequently performed using Townsend deprivation index, cerebral palsy, head injury and learning disabilities as model covariates.

RESULTS

The study population consisted of a total of 24,610 individuals (4922 with type 1 diabetes and 19,688 controls). These individuals were followed up for a mean of 5.4 years (approximately 132,000 person-years of follow up). Patients with type 1 diabetes were significantly more likely to be diagnosed with epilepsy during the observation period compared with controls (crude HR [95% CI]: 3.02 [1.95, 4.69]). The incidence rate was estimated to be 132 and 44 per 100,000 person-years in patients and controls, respectively. This finding persisted after adjusting for model covariates (adjusted HR [95% CI]: 3.01 [1.93, 4.68]) and was also robust to sensitivity analysis, excluding adult-onset type 1 diabetes mellitus.

CONCLUSIONS/INTERPRETATION

Patients with type 1 diabetes are at approximately three-times greater risk of developing epilepsy compared with matched controls without type 1 diabetes. This should be considered when investigating seizure-related disorders in patients with type 1 diabetes mellitus.