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Lamotrigine

Lamotrigine, an antiepileptic drug, is used to treat various types of seizures and bipolar disorder.
It works by stabilizing electrical activity in the brain, reducing the frequency and severity of seizures.
Lamotrigine is known for its effectivness in controlling partial-onset seizures and generalized tonic-clonic seizures.
It is also approved for maintenance treatment of bipolar disorder to prevent mood episdoes.
Researchers can leverage PubCompare.ai's advanced platform to optimize their Lamotrigine studies, identifying the most accurate and reproducible research methods from the latest literature, preprints, and patents.
This intuitive one-stop-shop tool employs AI-driven comparisons to enhance the quality and efficiency of Lamotrigine-related investigations.

Most cited protocols related to «Lamotrigine»

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Publication 2009
Affective Symptoms Antidepressive Agents Antipsychotic Agents Aripiprazole Attention Auditory Perception Barakat syndrome Biopharmaceuticals Bipolar Disorder BLOOD Bupropion Central Nervous System Stimulants Clonazepam Cognition Depression, Bipolar Diagnosis Divalproex Sodium Emotions Face factor A Factor VIII Fingers Genes, vif Hospitalization Inpatient Lamotrigine Lithium Mania Manic Episode Memory Mood Neuropsychological Tests Pharmaceutical Preparations Phenotype Psychological Inhibition Psychotic Disorders Quetiapine Risperidone Schizoaffective Disorder Sedatives Stroop Test Tests, Diagnostic Thyroid Gland Thyroxine Tranquilizing Agents VP-P protocol
To test the performance of the different inpainting methods, three different datasets have been used for different purposes.
The first dataset comes from the public database BrainWeb (http://www.bic.mni.mcgill.ca/brainweb/) and it is composed of images with different contrast (T1, T2 and PD) using the “mild”, “medium” and “severe” MS lesion phantom. We will refer to this dataset as BW (BrainWeb).
The second dataset is from 8 healthy, adult volunteers who were recruited for this study to test the algorithm using synthetic lesion generation (age range: 25–45 years). Each subject was scanned 3 times in a month, resulting in a total of 24 scans. This dataset was collected using a 3 Tesla Philips Achieva MRI system (Philips Medical Systems, Best, Netherlands) with an 8-channel head coil resulting in T1-weighted 3D-TFE acquisitions (with an inversion recovery magnetisation preparation) in the sagittal plane with the following imaging parameters: TR = 6.9 ms; TE = 3.1 ms; TI = 867  ms; flip angle α = 8; FOV = 256 × 256 mm; voxel size = 1 × 1 × 1 mm; NEX = 1; 180 contiguous slices; scanning time 6 : 30  min. We will refer to this dataset as HV (Healthy Volunteers).
The third dataset is composed of 52 patients with secondary, progressive MS (age range: 30-61 years) and is used for the quantitative analysis. Each subject in this group was scanned at baseline and at 24 months, resulting in a total of 104 scans. After a quality control 11 subjects were discarded due to different image artefacts, resulting in a final dataset of 41 subjects. The MRI data was collected using a single 1.5 Tesla MRI scanner (General Electric, Milwaukee, WI, USA). Quality control and manual lesion segmentation were completed by two trained raters. Appropriate quality assurance procedures, involving regular scanning of control subjects with no known neurological deficit and phantoms, were undertaken in keeping with departmental policy. The following sequences were acquired: 2D T1 W Spin Echo (SE) (TE = 15ms,TR = 550ms, in-plane pixel spacing: 0.9375 × 0.9375 mm, out-of-plane: 3 mm), T2 W Dual Fast SE (TE = 20 ms and 80 ms, TR = 2500ms, voxel size: 0.9375 × 0.9375 × 3  mm) and 3D T1WGE (TE = 5 ms, TR = 15 ms, TI = 450ms, 0.976 × 0.976 × 1.5  mm). This dataset is a subset of placebo group of the Lamotrigine Trial (Kapoor et al., 2010 (link)). We will refer to this dataset as MSLA (MS Lamotrigine).
For the second and third datasets, written informed consent was obtained from all participants and the study was approved by our local research ethics committee.
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Publication 2016
Adult ECHO protocol Electricity Ethics Committees, Research Head Healthy Volunteers Inversion, Chromosome Lamotrigine Patients Placebos
This was a double-blind, placebo-controlled study of the acute efficacy of IV ketamine or placebo added to ongoing antidepressant therapy (ADT) in the treatment of major depressive disorder (MDD) adults with TRD. Following a washout period for patients on prohibited psychotropic agents, 99 eligible subjects were randomly assigned to one of five 40-minute infusion arms in a 1:1:1:1:1 fashion: a single dose of ketamine 0.1 mg/kg (n=18), a single dose of ketamine 0.2 mg/kg (n=20), a single dose of ketamine 0.5 mg/kg (n=22), a single dose of ketamine 1.0 mg/kg (n=20), and a single dose of midazolam 0.045 mg/kg (active placebo) (n=19) (see Figure 1), to minimize the unblinding risk due to AEs, as in Murrough et al16 (link). Prior to randomization, patients were grouped by BMI (Group I: BMI ≤30; Group II: BMI >30), and were block randomized into each arm of the study, with the mg/Kg ratio being maintained across all BMIs. The primary endpoint assessments were carried out over 3 days and all subjects were followed for 30 days to examine the benefit durability (see Figure 1).
The study assessments were performed at Days 0, 1, 3, 5, 7, 14, and 30 to assess the safety and efficacy of all doses of ketamine compared to active placebo therapy in depressed patients demonstrating an inadequate response to at least 2 adequate ADTs during the current major depressive episode (TRD). This report focuses on the outcome during the acute phase of the study (Days 0 through 3). This trial was conducted across six U.S. academic sites (Massachusetts General Hospital, Baylor College of Medicine/Michael E. Debakey VA Medical Center, Icahn School of Medicine at Mount Sinai, Stanford University School of Medicine, University of Texas Southwestern, and Yale University), according to the U.S. FDA guidelines and Declaration of Helsinki. IRB- and NIMH DSMB-approved written informed consent was obtained from all patients.
All enrolled subjects were male and female outpatients between the ages of 18–70 years old with a diagnosis of MDD in a current depressive episode of at least eight week-duration (as defined by the DSM-IV-TR™). The diagnosis of MDD was supported by the Structured Clinical Interview for DSM-IV (SCID-I/P). Furthermore, all subjects had TRD, defined as failure to achieve a subjective satisfactory response (e.g., less than 50% improvement of depression symptoms) to at least two adequate treatment courses during the current depressive episode (including the current ADT). All study participants with MDD were required to be on a stable (for at least 4 weeks) and adequate (according to the MGH Antidepressant Treatment Response Questionnaire or ATRQ) dose of ongoing ADT, with a total treatment duration of at least 8 weeks. Concurrent hypnotic therapy was allowed if the therapy had been stable for at least 4 weeks prior to screening and was expected to remain stable during the study. Patients were also allowed to continue treatment with benzodiazepines used for anxiety if therapy had been stable for at least 4 weeks prior to screening and expected to remain stable during the study. Patients on exclusionary concomitant psychotropic medications (e.g., opioids, tramadol, valproic acid, lamotrigine, carbamazepine, barbiturates, eszopiclone, stimulants, NMDA receptor antagonists such as memantine), were included only if they had been free of the exclusionary medication post-taper for five half-lives within the maximum screening period (28 days). Furthermore, subjects could be in concurrent psychotherapy, if stable. All subjects had a Montgomery Asberg Depression Rating Scale17 (link) (MADRS) score ≥20 at both the screen and baseline visits. All included patients were required to have a BMI between 18–35 kg/m2.
Major exclusion criteria were as follows: Failure to achieve satisfactory response (e.g., less than 50% improvement of depression symptoms) to >7 treatment courses of a therapeutic dose of an ADT of at least 8 weeks duration in the current major depressive episode, MADRS total score <20 at screening or baseline; a primary Axis I disorder other than MDD; current substance use disorder (abuse or dependence), with the exception of nicotine dependence, within 6 months prior to screening; and any history of ketamine or PCP drug use. All subjects underwent urine drug testing at screening. Other major exclusion criteria included a history of bipolar disorder, schizophrenia or schizoaffective disorders, or any history of psychotic symptoms in the current or previous depressive episodes. Furthermore, previous participants in research studies involving glutamatergic agents for depression were also excluded.
Following the in-person screen, the diagnosis and adequacy of treatment was confirmed by remote, independent raters from the Massachusetts General Hospital (MGH) Clinical Trials Network and Institute (CTNI), via a teleconference administration of the Mood Disorders module of the SCID-I/P, MADRS, and the MGH ATRQ.
Publication 2018
Adult antagonists Antidepressive Agents Anxiety Barbiturates Benzodiazepines Bipolar Disorder Carbamazepine Central Nervous System Stimulants Depressive Symptoms Diagnosis Drug Abuse Epistropheus Eszopiclone Glutamate Agents Hypnotics Ketamine Lamotrigine Males Memantine Mental Disorders Midazolam Mood Disorders N-Methyl-D-Aspartate Receptors Nicotine Dependence Opioids Outpatients Patients Pharmaceutical Preparations Placebos Psychotherapy Psychotropic Drugs Safety Schizoaffective Disorder Schizophrenia Substance Use Disorders Tramadol Unipolar Depression Urinalysis Urine Valproic Acid Woman
Hyperthermia‐induced seizure experiments were conducted in Scn1a+/− mice at age postnatal day 14‐16 (P14‐16) using a rodent temperature regulator (TCAT‐2DF, Physitemp Instruments, Inc, Clifton, NJ) reconfigured with a Partlow 1160 + controller (West Control Solutions, Brighton, UK) connected to a heat lamp and RET‐3 rectal temperature probe. Fifteen minutes prior to the target experimental (post‐dose) time point for each drug, the rectal probe was inserted. Mice acclimated to the temperature probe for 5 min before the hyperthermia protocol was started. Mouse core body temperature was elevated 0.5°C every 2 min until the onset of the first clonic convulsion with loss of posture or until 42.5°C was reached. Mice that reached 42.5°C were held at temperature for 3 min. If no seizure occurred during the hold period, the mouse was considered seizure‐free. After thermal induction procedure, plasma samples were isolated as described above and stored at −80°C until assayed. Threshold temperatures were compared using the time to event analysis (logrank Mantel‐Cox), and P < 0.05 was considered statistically significant. No significant sex differences were observed, so groups were collapsed across sex.
Experimental time points were based on previously determined time‐to‐peak plasma and brain concentrations or effect from the literature or our pharmacokinetic studies. Experimental time points used were as follows: 40 min‐ levetiracetam; 45 min‐ carbamazepine, lamotrigine, phenobarbital; 90 min‐ stiripentol, clobazam, topiramate; 120 min phenytoin.20, 21, 22, 23, 24 Valproic acid was administered after the 5 min acclimation period.25, 26 Matched vehicle controls were run for each experimental time point. Vehicle A (saline) was administered at 0, 40, 45, and 90 min. No statistical difference was identified between the four time points and all vehicle A‐treated mice were combined into one group. Vehicles B (0.5% methylcellulose), C (5% hydroxypropyl‐β‐cyclodextrin), and D (vegetable oil) were administered at 120, 45, and 90 min, respectively.
Publication 2017
Acclimatization ARID1A protein, human Brain Carbamazepine Clobazam Clonic Seizures Cyclodextrins Fever Hypromellose Lamotrigine Levetiracetam Methylcellulose Mice, House Pharmaceutical Preparations Phenobarbital Phenytoin Plasma Rectum Rodent Saline Solution Seizures stiripentol Topiramate Valproic Acid Vegetable Oils

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Publication 2008
A-factor (Streptomyces) Antipsychotic Agents Aripiprazole Bipolar Disorder Carbamazepine Clonazepam Clozapine Diagnosis factor A Gabapentin Lamotrigine Lithium Mood Olanzapine Oxcarbazepine Pharmaceutical Preparations Pharmacotherapy Quetiapine Risperidone Substance Abuse Topiramate Treatment Protocols Valproate

Most recents protocols related to «Lamotrigine»

To explore the effects of valproate on the selected outcomes, cause-specific Cox proportional hazard models censored for death were used with the valproate-specific genetic scores as independent variable, adjusted for age, sex, principal components (PC) 1–3, and genotyping assay in the cohort of valproate users. Although ischemic stroke subtypes are not available in the UKB, we tried to investigate the pathophysiological mechanism of valproate’s action on stroke prevention. To approximate cardioembolic stroke, ischemic stroke in the setting of atrial fibrillation was analyzed by adding an interaction term of the genetic score with prevalent atrial fibrillation in the model for ischemic stroke and performing subgroup analyses in individuals with and without a diagnosis of atrial fibrillation before or within six months after ischemic stroke. Because of the small cohort size, the main analyses were performed in all valproate users regardless of potential cryptic relatedness, and sensitivity analyses were performed in a cohort restricted to unrelated individuals (KING kinship coefficient < 0.0884). ChiSquare test for trend in proportions were used to assess significant differences in absolute stroke risk between genetic score tertiles. To rule out that observed associations between the genetic scores and the outcomes are caused by pleiotropic effects of the genetic score not related to valproate use, we tested the same associations among non-valproate users, thus assessing the independence and exclusion restriction assumptions of Mendelian randomization. To further rule out an antiepileptic drug class effect, all analyses were repeated with the genetic scores for lamotrigine and levetiracetam response among users of the respective drugs. To exclude drug interactions, we also performed a sensitivity analysis among the cohorts of patients on valproate monotherapy.
Publication Preprint 2023
Antiepileptic Agents Atrial Fibrillation Biological Assay Cardioembolic Stroke Cerebrovascular Accident CFC1 protein, human Diagnosis Drug Abuser Drug Interactions Drug Kinetics Genetic Pleiotropy Hypersensitivity Lamotrigine Levetiracetam Patients Pleiotropic Gene Stroke, Ischemic Valproate
Because the genetic variants that are used for the exposure (in our study, valproate, lamotrigine, and levetiracetam clinical response) are derived from a GWAS including only individuals exposed to those medications, but stroke and myocardial infarction outcome GWAS have been performed among drug users and non-users, we used an individual-level approach in the UK Biobank to test for drug-specific effects and assess for pleiotropic effects of our genetic instruments. We constructed a genetic score for response to each drug and tested each score for association with the outcomes of interest among individuals exposed or not exposed to each medication. Because of the random assortment of common alleles in a population, genetically predicted drug response is randomly allocated, and thus an association of the genetic response score with the outcome of interest in those exposed to the drug provides evidence of a causal drug effect. Further, pleiotropic effects of the genetic variants that inadvertently modify the risk for chosen outcomes independent of the drug can be ruled out if there is no association among individuals not exposed to the drug. This approach has been described by us and others in previously published work.14 (link),18 (link)
Publication Preprint 2023
Alleles Cerebrovascular Accident Drug Abuser Genes, vif Genetic Diversity Genetic Pleiotropy Genome-Wide Association Study Lamotrigine Levetiracetam Myocardial Infarction Pharmaceutical Preparations Pleiotropic Gene Substance Abuse Detection Valproate
We identified valproate, lamotrigine, and levetiracetam drug users via verbal baseline interview and primary care prescription data, allowing us to capture drug prescriptions within a time period between 1978 to 2018. We have previously reported the details of our pipeline to extract medication data from UKB primary care data.14 (link) First, all available ever-approved formulations for valproate, lamotrigine, and levetiracetam were gathered by using international nonproprietary (INN) names, former and current trade names in the UK (via the National Health Service Dictionary of Medicines and Devices [DM+D] browser, https://services.nhsbsa.nhs.uk/dmd-browser/search), and their associated DM+D and British National Formulary (BNF) codes (Supplemental Table S1). Then, all primary care prescription data and the verbal interview data were searched for these formulations. Individuals were considered as users of a drug if they reported intake of one of the formulation names containing the drug at any verbal interview (baseline or follow-up, UKB field 20003) or if they had two or more prescriptions of a formulation containing the drug in the primary care data (gp_scripts table). The first drug prescription date for each individual was defined either as the first prescription date from primary care data or as the verbal interview date, whichever was earlier and available. To assess whether patients were on monotherapy or had other antiepileptic drugs prescribed, we extracted prescriptions for the most common antiepileptic drugs (Supplemental Table S1) between first prescription of valproate and end of follow-up.
Publication Preprint 2023
Antiepileptic Agents Drug Abuser Health Services, National Lamotrigine Levetiracetam Medical Devices Patients Pharmaceutical Preparations Primary Health Care Valproate
We used genome-wide association data from the Epilepsy Pharmacogenomics Consortium (EpiPGX) on seizure freedom after antiepileptic drug intake in European ancestry patients with generalized epilepsy.15 (link) In that study, participants were defined as treatment responder if they were seizure free under continuous treatment for at least one year, and as treatment non-responders if they had 50% of pretreatment seizure frequency or higher under adequate dosing of the drug according to a specialist.15 (link) The cohort included patients on valproate (n=565), lamotrigine (n=387), and levetiracetam (n=209).15 (link) Association tests were performed based on responder vs. non-responder status for each of the drugs.15 (link) There was no participant overlap between the EpiPGX GWAS and the UKB. Association results were available for single nucleotide polymorphisms (SNPs) associated with drug response at p<0.05 (n=162,242 for valproate, n=162,666 for lamotrigine, and n=162,430 for levetiracetam).
To construct the genetic scores to be used as instruments for valproate, lamotrigine, and levetiracetam response, we leveraged PRS-CS (polygenic prediction via bayesian regression and continuous shrinkage priors), a novel unsupervised polygenic prediction method for that uses a high-dimensional Bayesian regression framework to derive a genetic score from GWAS summary statistics without requiring an external validation cohort.17 (link) PRS-CS takes linkage disequilibrium of genetic variants into account by using an external linkage disequilibrium reference panel and outperforms traditional clumping and thresholding approaches such as PRSice.17 (link),19 (link) We used PRS-CS with default parameters to generate SNP weights for response to each drug, which yielded weights for 33,089, 33,300, and 32,736 SNPs for valproate, lamotrigine, and levetiracetam, respectively.
To test robustness of the discovered associations, we performed sensitivity analyses with an alternative genetic instrument for valproate response that was derived using a clumping and thresholding approach. Following previously described approaches for drug response Mendelian randomization studies,14 (link),20 (link) we selected the SNPs from the EpiPGX GWAS results that were associated with valproate response at p<5×10−5 and clumped at r2<0.001 based on the 1000 Genomes European reference panel.20 (link) The alternative genetic score for valproate response consisted of 20 SNPs that were retained after clumping of 139 SNPs.
Finally, using the weights derived from PRS-CS and clumping and thresholding, we calculated the individual genetic scores for corresponding drug users in the UKB using imputed genotype data. For assessment of appropriate randomization, Kaplan-Meier curves, and calculation of absolute risk differences, individuals were divided in genetic score tertiles. The SNPs and weights for the genetic scores are provided in Supplemental Tables S2S5.
Publication Preprint 2023
Antiepileptic Agents Birth Weight Drug Abuser Epilepsy Epilepsy, Generalized Europeans Genes, vif Genome Genome-Wide Association Study Genotype Hypersensitivity Lamotrigine Levetiracetam Linkage, Genetic Patients Pharmaceutical Preparations Reproduction Seizures Single Nucleotide Polymorphism Valproate
We aimed to test the effect of the derived genetic score for valproate response on valproate serum levels to confirm its validity to test the hypothesis whether valproate has an effect on ischemic stroke through serum level-dependent effects. Genetic variants that are associated with seizure response to valproate could be unrelated to the effect of valproate on ischemic stroke, if they influence a pathway that is not related to drug metabolism, but rather further downstream in its effect on seizure prevention. However, if the genetic variants predict valproate response through an effect on valproate serum levels below the threshold of impacting prescriber behavior, they are a proxy for genetically predicted drug exposure and thus can be used as an instrument for randomization in the test for an effect on ischemic stroke. In this special case of Mendelian randomization, this is assertion of the relevance assumption of the genetic variants.
Valproate serum levels were gathered from the primary care clinical data by using the Read codes ‘44W4.’ and ‘XE25d’. Values that were 0 (indicating off-valproate situations) and those higher than 200 μg/ml (potentially erroneous or not in μg/ml) were discarded. For each serum level value, the taken valproate dose at the time of measurement was approximated. First, the duration in days between the prescriptions before and after the date of the serum level measurement was calculated. Then, the quantity of tablets was multiplied by the dose of each tablet, divided by the duration of the prescription interval, yielding the average daily dose in mg per day. The association of valproate dose with valproate serum levels was tested in a linear regression model with valproate serum level as dependent variable and average daily valproate dose and the genetic score as independent variables. The model was additionally adjusted for age at the time of serum level measurement and sex. Levels for lamotrigine or levetiracetam were not available in the UK Biobank.
Publication Preprint 2023
Genetic Diversity Lamotrigine Levetiracetam Metabolism Pharmaceutical Preparations Primary Health Care Reproduction Seizures Serum Stroke, Ischemic Tablet Valproate

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Lamotrigine is a laboratory instrument used for the detection and quantification of various molecules, compounds, or analytes in a sample. It operates on the principle of liquid chromatography-mass spectrometry (LC-MS) technology.
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Carbamazepine is a chemical compound used as a reference standard in analytical testing procedures. It is a white, crystalline powder that is commonly used to verify the accuracy and precision of analytical equipment and methods.
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Phenytoin is a laboratory reagent used in the analysis and identification of pharmaceutical and biological samples. It is a crystalline solid compound that is commonly used as a standard for high-performance liquid chromatography (HPLC) and other analytical techniques. Phenytoin is a widely recognized and well-characterized compound that is often used as a reference material in the pharmaceutical and scientific research industries.
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Ethosuximide is a pharmaceutical compound used as an anticonvulsant medication. It is primarily utilized in the treatment of absence seizures, a type of epileptic seizure. The compound functions by suppressing the spread of seizure activity within the brain.
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Topiramate is a pharmaceutical compound developed by Merck Group. It is a white crystalline powder that acts as a sodium channel blocker and gamma-aminobutyric acid (GABA) receptor agonist. Topiramate is primarily used as an active ingredient in various Merck Group's pharmaceutical products.
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Clobazam is a benzodiazepine medication used as an anticonvulsant. It is utilized in the treatment of epilepsy. Clobazam acts on the central nervous system to reduce seizure activity.
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Levetiracetam is a pharmaceutical active ingredient manufactured by Merck Group. It is a synthetic derivative of the naturally occurring amino acid piracetam. Levetiracetam is used as a broad-spectrum antiepileptic drug.
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Levetiracetam is a chemical compound used as a pharmaceutical ingredient in laboratory settings. It functions as an anticonvulsant and is commonly used in the research and development of anti-seizure medications. The core function of Levetiracetam is to act as an active pharmaceutical ingredient for further scientific investigation and product development.

More about "Lamotrigine"

anticonvulsant, seizures, bipolar disorder, electrical activity, partial-onset seizures, generalized tonic-clonic seizures, mood episodes, Carbamazepine, Phenytoin, Ethosuximide, Topiramate, Phenobarbital, Clobazam, Levetiracetam, Gabapentin, PubCompare.ai, research optimization