MétaCan
Menu
← Back to cohort
Record W2160874148

Genetic studies of bipolar disorder in patients selected by their treatment response

2008· article· en· W2160874148 on OpenAlexaff
Abigail Ortiz‐Domínguez, Martin Alda

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2008
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBipolar disorderLithium (medication)PsychopathologyPsychologyProbandOffspringMoodTreatment of bipolar disorderMood stabilizerInternal medicineClinical psychologyMedicineGeneticsPsychiatryManiaGeneMutationBiology
DOInot available

Abstract

fetched live from OpenAlex

"Bipolar disorder (BD) is a major mood disorder with several genes of moderate or small effect contributing to the genetic susceptibility. It is also likely heterogeneous, which stimulated efforts to refine its clinical phenotype, studies investigating the link between BD susceptibility and response to a specific mood stabilizer appear to be one of the promising directions. In particular, excellent response to lithium prophylaxis has been described as a clinical marker of a more homogeneous subgroup of BD, characterized by an episodic course, low rates of co-morbid conditions, absence of rapid cycling, and a strong genetic loading. These results also suggest that lithium response clusters in families (independent of the increased familial loading for affective disorders), likely on a genetic basis. For almost 40 years, clinical studies have pointed to differences between lithium responders (LR) and non-responders (LNR). For instance, there is a higher frequency of BD in LR families. As well, investigations in offspring of LR and LNR probands show that the offspring of LR tend to manifest a higher frequency of affective disorders, less co-morbidity and an episodic course of the disorder, compared with the offspring of LNR, who had a broad range of psychopathology, a higher rate of co-morbidity and a chronic course of the disorder. A number of candidate genes have been studied in patients treated with lithium; of these, several showed an association in at least one study: cAMP responsive element binding protein (CREB), Xbox binding protein 1 (XBP-1), inositol polyphosphate-1-phosphatase (INNP1), serotonin transporter gene (5-HTT), brain-derived neurotrophic factor (BDNF), phospholipase y-1(PLCy-1), dopamine receptors (D2 and D4), polyglutamine tracts, tyrosine hydroxylase, inositol monophosphatase (IMPA), mitochondrial DNA, and breakpoint cluster region (BCR) gene. Clinical studies have shown as well that the treatment response and outcome appear to be specific for the different types of mood stabilizers. Patients who respond to lithium exhibit qualitative differences from patients responding to other medications, such as valproate, carbamazepine or lamotrigine. Responders to carbamazepine had atypical clinical features, such as moodincongruent psychosis, an age at onset of illness below 30 years old, and a negative family history of mood disorders. Similarly, in a study comparing the phenotypic spectra in responders to lithium versus lamotrigine the probands differed with respect to clinical course (with rapid cycling and non-episodic course in the lamotrigine group) and co-morbidity, with the lamotrigine-responder group showing a higher frequency of panic attacks and substance abuse. In conclusion, pharmacogenetic studies may provide important clues to the nature of bipolar disorder and the response to long term treatment."

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.243
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueRedalyc (Universidad Autónoma del Estado de México)→Same topicBipolar Disorder and Treatment→French-language works237,207→