Pain experience of children with Christianson syndrome
Bibliographic record
Abstract
ABSTRACT: Children with Christianson syndrome (CS), an X-linked neurodevelopmental disorder caused by loss-of-function mutations in the alkali cation/proton exchanger SLC9A6/NHE6, display severe cognitive impairments, mutism, and sensory abnormalities such as hyposensitivity to pain. However, it is unclear whether these children display other sensory abnormalities and whether their pain hyposensitivity is the result of an elevated pain threshold or a complete insensitivity to pain. To better characterize the sensory abnormalities in this disorder, we used a combination of a mouse model of CS and pain questionnaires directed at nonverbal patients with CS. We recruited 14 young male participants with CS and subjected them to a novel observational tool, the Pain Sensory and Painful Situations Questionnaire (PSQ), which takes multiple painful situations into account to broaden the description of pain expression. By analyzing social expressive behaviours of pain in these nonverbal patients, the PSQ documented that over 60% of the participants were unaffected by mechanical or inflammatory painful stimuli. This reduced pain sensitivity was also observed in the mouse CS model. Surprisingly, CS mice also displayed aversive reactions to innocuous stimuli, which prompted us to examine whether such reactions were also present in children with CS. Indeed, the results from the PSQ revealed that 30% to 50% of these patients showed an aversive response to normally innocuous stimuli like light touch and gusts of air. Our results demonstrate that children with CS have aversive reactions to innocuous stimuli and are hyposensitive to painful stimuli, the latter making them at risk for developing complications from unreported injuries.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".