Psychosis and autism without functional regression in a patient with Kleefstra syndrome
Bibliographic record
Abstract
Kleefstra syndrome is a rare genetic disorder caused by haploinsufficiency of the euchromatic histone lysine methyltransferase 1 (EHMT1) gene. It is characterized by a variety of dysmorphic features, comorbid medical issues, and developmental delays/intellectual disability. Neuropsychiatric symptoms may also occur, including autistic features and psychosis, and are often accompanied by functional regression. However, the phenomenology of psychotic symptoms in this syndrome has not been well described in the literature. As such, in this brief report, we review the literature with respect to the occurrence of psychosis in Kleefstra syndrome and describe the symptom profile of a 35-year-old affected male with an intellectual disability, autism spectrum disorder, and schizophrenia (in association with manic features). This is the first report of psychotic symptoms fully remitting in response to zuclopenthixol therapy in an individual with Kleefstra syndrome. This case is also unique as it demonstrates that functional regression does not necessarily coincide with the development of schizophrenia-like presentations in affected individuals.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".