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Record W2965982384 · doi:10.1002/aur.2183

Implication of hypocholesterolemia in autism spectrum disorder and its associated comorbidities: A retrospective case–control study

2019· article· en· W2965982384 on OpenAlexaffabout
Sérine Benachenhou, Antoine Etcheverry, Luc Galarneau, Jean Y. Dubé, Artuela Çaku

Bibliographic record

VenueAutism Research · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHypocholesterolemiaMedicineOdds ratioAutism spectrum disorderAutismInternal medicinePopulationConfidence intervalCholesterolPsychiatry

Abstract

fetched live from OpenAlex

Autism spectrum disorder (ASD) has been associated with low cholesterol levels in a limited number of studies. However, the prevalence of hypocholesterolemia as well as the degree of association with ASD remains to be elucidated. We therefore sought to investigate the lipid profiles of a group of French-Canadian ASD individuals. The medical records of 79 ASD individuals and 79 age and gender-matched healthy controls were retrospectively reviewed. The fasting lipid profiles including total cholesterol (TC), high-density lipoprotein, triglycerides, and low-density lipoprotein were extracted for individuals of both groups along with the following clinical data: anthropometric measurements, medication use and associated disorders. Lipid parameters were compared to age and gender-based normative population and categorized in centile groups. The prevalence of hypocholesterolemia was revealed to be more than threefold higher in ASD individuals as compared to the general population (23%; P = 0.005). The 25th centile was determined as a potential TC threshold that could best predict the ASD (odds ratio [OR] = 3.04; 95% confidence interval [CI]: 1.58-6.65; P < 0.001). This study identified specific ASD comorbidities associated with hypocholesterolemia: TC levels below the 10th centile were associated with a higher rate of ASD-associated intellectual disability (OR = 3.33; 95% CI: 1.26-8.00) and anxiety/depression (OR = 4.74; 95% CI: 1.40-15.73). Overall, these results support a potential association between hypocholesterolemia and ASD occurrence. Application of this study to larger populations is urging to provide more extensive data that may further elucidate the association between hypocholesterolemia and ASD. Autism Res 2019, 12: 1860-1869. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Association of autism spectrum disorder (ASD) with abnormally low levels of cholesterol (hypocholesterolemia) has been documented before. These studies were incomplete, and the conclusion remains speculative. Here, we reviewed the medical records of 79 French-Canadian ASD individuals and compared their total cholesterol (TC) levels to healthy individuals matched for age and gender. We observed four times more hypocholesterolemia in ASD than in the general population. Furthermore, low TC in ASD was associated with higher rates of ASD-associated intellectual disability and anxiety/depression. Our results support an association between hypocholesterolemia and ASD and open novel opportunities for the diagnosis and treatment of specific forms of ASD.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.043
GPT teacher head0.355
Teacher spread0.312 · 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

Citations33
Published2019
Admission routes2
Has abstractyes

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