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Record W3012220521 · doi:10.1002/aur.2291

Insulin‐Like Growth Factor and Insulin‐Like Growth Factor Receptor Expression in Human Idiopathic Autism Fusiform Gyrus Tissue

2020· article· en· W3012220521 on OpenAlexaff
Milena Cioana, Bernadeta Michalski, Margaret Fahnestock

Bibliographic record

VenueAutism Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFusiform gyrusAutismInsulin-like growth factorNeuroscienceProtein kinase BPsychologyDentate gyrusPI3K/AKT/mTOR pathwayGrowth factorReceptorMedicineInternal medicineBiologySignal transductionCentral nervous systemPsychiatryCognitionCell biology

Abstract

fetched live from OpenAlex

Autism spectrum disorder (ASD) is believed to stem from defects in the establishment and maintenance of functional neuronal networks due to synaptic/spine dysfunction. The potent effects of IGF-1 on synaptic function, maintenance, and plasticity make it a potential target for treating ASD. This polypeptide hormone has proven to have beneficial effects in treating related developmental disorders like Rett syndrome, and its efficacy in ASD is currently being investigated in a pilot study. IGF-1 binds to its receptor (IGF-1R) in neurons and activates mitogen-activated protein kinase and PI3K/Akt signaling to produce biological effects on spine function. The PI3K/Akt pathway is dysregulated in ASD, including idiopathic autism, and is thus believed to play a role in the disorder. Despite this, no study has explored the levels of IGF-1 in the fusiform gyrus of idiopathic autism patients, an area known to be hypoactivated in ASD, and no study has examined IGF-1R in any part of the brain. The present study explored whether IGF-1 or IGF-1R levels are altered in human idiopathic autism. RNA and protein were extracted from post-mortem human fusiform gyrus tissue of normal controls (n = 20) and subjects with idiopathic autism (n = 15). qRT-PCR for IGF-1 and IGF-1R were performed, along with total IGF-1 ELISA and IGF-1Rβ Western blots. The levels of both IGF-1 and IGF-1R mRNA and protein were equivalent between the two groups, suggesting that although IGF-1 may be useful for ASD treatment, IGF-1 and IGF-1R are not implicated in the pathogenesis of idiopathic autism. Autism Res 2020, 13: 897-907. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: IGF-1 is being tested for the treatment of autism and related disorders. Despite promising results, it is unknown if IGF-1 or its receptor are present in abnormal levels in patients with autism. This study showed that patients with autism have normal levels of IGF-1 and its receptor in the brain, suggesting that although IGF-1 is a promising treatment, disruption of IGF-1 levels or signaling through its receptor does not seem to be a cause of autism.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.307
Teacher spread0.267 · 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.

Study designBench or experimental
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

Citations17
Published2020
Admission routes1
Has abstractyes

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