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Record W4385346956 · doi:10.21203/rs.3.rs-3191107/v1

Changed Interleukins are Associated with Sleep and/or Cognition in Chronic Insomnia Patients:A Pilot Study

2023· preprint· en· W4385346956 on OpenAlexaboutno aff
Fang Wang, Zhe‐Zhe Zhang, Lan Xia, Gui-Hai Chen

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaPittsburgh Sleep Quality IndexInterleukinCognitionAnxietyMedicineInterleukin 6Internal medicinePsychologyClinical psychologyPsychiatryCytokineSleep quality

Abstract

fetched live from OpenAlex

Abstract Background: Epidemiological studies have found that insomnia is a risk factor for many diseases, such as stroke and cognitive impairment. Therefore, studying changes in markers associated with insomnia related cognitive changes is crucial to understanding insomnia. The objective of this study was to investigate whether exist difference between chronic insomnia disorder and healthy individuals for serum cytokines, if so, whether these cytokines changes are correlated with sleep and/or cognition. Methods: Forty-one patients with chronic insomnia disorder and 39 healthy demographic-matched controls were enrolled. The Pittsburgh Sleep Quality Index and the Hamilton Depression and Anxiety Rating Scales were used to assess sleep quality and emotion, respectively. The Montreal Cognitive Assessment (Chinese version) and Nine Box Maze Test were employed to assess cognition. Plasma pro-inflammatory (IL-1β, IL-2, IL-6sR, IL-6, IL-12p40, IL-12p70, IL-16, IL-17, IL-17F, IL-21, IL-22, and IL-23) and anti-inflammatory (IL-1RA, IL-4, IL-5, IL-10, IL-13, and IL-28A) cytokines were measured by enzyme-linked immunosorbent assay. Results: Patients with chronic insomnia disorder: made significantly more errors on the spatial reference memory, spatial working memory, and object recognition memory tasks of the Nine Box Maze Test; had a higher level of serum pro-inflammatory cytokines (IL-1β, IL-2, IL-6sR, IL-6, IL-21, and IL-23); and had lower level of serum anti-inflammatory cytokines (IL-4, IL-13, and IL-28A). In patients with chronic insomnia disorder, IL-2, IL-6, and IL-28A levels were negatively correlated with Pittsburgh Sleep Quality Index scores. Cytokines (IL-10, IL-13, IL-2, IL-1β, and IL-6) in serum of chronic insomnia disorder patients were positively or negatively correlated with cognitive function (object reference memory, spatial reference memory, and object recognition memory errors on the Nine Box Maze Test). Conclusion: Patients with chronic insomnia disorder had pro-/anti-inflammatory cytokineimbalance that may be associated with insomnia and/or cognitive dysfunction severity.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.134
GPT teacher head0.411
Teacher spread0.277 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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