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Record W4401433347 · doi:10.4103/aian.aian_118_24

Severe Developmental Delay and Behavior Abnormalities in a Patient with De Novo CAMK2B Mutation: A Case Report and Literature Review

2024· article· en· W4401433347 on OpenAlexaff
K. Zhang, C. Anthony Rupar, Chitra Prasad

Bibliographic record

VenueAnnals of Indian Academy of Neurology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsOMIM : Online Mendelian Inheritance in ManMedicinePhenotypeExome sequencingMendelian inheritanceMutationGeneBioinformaticsExomeNeuroscienceGeneticsBiology

Abstract

fetched live from OpenAlex

The calcium/calmodulin-dependent protein kinase II-beta ( CAMK2B ) gene is important for calcium signaling and glutamatergic synapses, which impacts neuroplasticity and learning. Mutations in the CAMK2B gene, which cause autosomal dominant mental retardation 54 (Online Mendelian Inheritance in Man # 617799), can have multisystemic clinical impact. Due to the rarity of CAMK2B mutations at present, case reports about patients with CAMK2B mutations are limited. The present case report describes a patient with CAMK2B -related disorder confirmed by whole exome sequencing and adds to the current information in the literature. We review three case reports in literature with detailed descriptions of patients presenting with mutations in the CAMK2B gene. While there is a broad spectrum of phenotypic presentations, there appears to be an emerging neurobehavioral phenotype. Optimal management of patients will require attention to behavioral issues as well as involvement of neuropsychiatric expertise along with other supports for development and vision abnormalities.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.329
Teacher spread0.306 · 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 designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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