MétaCan
Menu
Back to cohort
Record W4402878728 · doi:10.1016/j.jaacop.2024.09.005

Maternal Serotonin Levels and Neurodevelopmental Severity in Autistic Children: A Partial Replication and Extension

2024· article· en· W4402878728 on OpenAlexfundno aff
Amandeep Jutla, Lauren C. Shuffrey, Stephen J. Guter, George M. Anderson, Kally C. O’Reilly, Alicia Montgomery, James S. Sutcliffe, Edwin H. Cook, Jeremy Veenstra‐VanderWeele

Bibliographic record

VenueJAACAP Open · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Mental HealthUniversity of Illinois at ChicagoUniversity of Illinois at Urbana-ChampaignVanderbilt UniversityYale UniversityAcadia UniversityColumbia UniversityUniversity of New South WalesYork UniversityRocheJazz PharmaceuticalsNovartisSimons Foundation
KeywordsReplication (statistics)Extension (predicate logic)AutismPsychologyDevelopmental psychologySerotoninMedicineComputer scienceInternal medicineVirology

Abstract

fetched live from OpenAlex

Objective The serotonin system has long been implicated in autism spectrum disorder. A previous study reported lower whole blood serotonin (WB5-HT) concentrations in the mothers of children with more severe autism. This study attempted to replicate this finding in an independent cohort. Method A latent profile analysis was conducted in 259 children with autism using indicator variables across autistic traits, cognition, and adaptive function. In a subgroup of 162 participants with maternal WB5-HT data, maternal WB5-HT in children with the highest severity profile was compared with maternal WB5-HT in children with other profiles, both overall and across 5 quantiles of the maternal WB5-HT distribution. Results A latent profile analysis solution was identified that stratified participants into low-, medium-, and high-severity profiles. Although this solution was broadly similar to the prior work, the high-severity profile showed different scores in restricted and repetitive behavior, nonverbal IQ, and adaptive function. Median WB5-HT in the high-severity profile did not differ significantly from other profiles, but was lower at the 90th percentile of severity (by 59.40 ng/mL, 95% CI 6.42 to 101.51 ng/mL, adjusted p < .01). In exploratory models, maternal WB5-HT was negatively associated with social impairment. Conclusion In contrast to the previous study, this study did not find lower group levels of maternal WB5-HT in children with highest autism symptom severity. However, children in the high-severity group were less likely to have maternal WB5-HT values in the upper range of the distribution. This comparative absence of values in the upper range of maternal WB5-HT in this high-severity group warrants further investigation. Plain language summary This study explored the link between serotonin levels in mothers and the severity of autism in their children. Data analyzed from 259 autistic children drawn from the Simons Simplex Collection cohort separated them into three "latent profiles" of low, medium, and high severity. The relation between severity profile and maternal serotonin level was assessed in a subset of 162 children for whom these data were available. Although previous work suggested that serotonin levels were overall lower in the mothers of severely affected children, the present study did not find a significant difference in overall serotonin levels. However, the present study found that fewer mothers of severely affected children had high serotonin levels, which warrants further investigation. Diversity & Inclusion Statement We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. We worked to ensure sex balance in the selection of non-human subjects.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.486
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

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

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 head0.055
GPT teacher head0.350
Teacher spread0.295 · 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 teacher head, 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJAACAP OpenSame topicAutism Spectrum Disorder ResearchFrench-language works237,207