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Changed serum levels of neurotrophic factors and their correlations with sleep and cognition in patients with chronic insomnia disorder

2020· article· en· W3030833146 on OpenAlexaboutno aff
Yingxue Li, Yi‐Jun Ge, Xiao-Yi Kong, Ping Zhang, Xueyan Li, Chongyang Ren, Ting Hu, Xuan Song, Gui‐Hai Chen

Bibliographic record

VenueZhonghua shenjingke zazhi · 2020
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPittsburgh Sleep Quality IndexMontreal Cognitive AssessmentPolysomnographyBrain-derived neurotrophic factorNeurotrophic factorsInternal medicineGlial cell line-derived neurotrophic factorMedicinePsychologyCognitionGastroenterologyPsychiatrySleep qualityCognitive impairmentReceptor

Abstract

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Objective To explore serum levels of brain-derived neurotrophic factor (BDNF) and glial-derived neurotrophic factor (GDNF), and whether changes of BDNF and GDNF are correlated with sleep quality and cognitive function in patients with chronic insomnia disorder (CID). Methods Fifty-seven CID patients in the Department of Sleep Disorders, Chaohu Hospital of Anhui Medical University and 30 healthy controls were enrolled from May 2017 to July 2018. Pittsburgh Sleep Quality Index (PSQI) was used to assess the degree of insomnia severity (some CID patients were monitored by overnight polysomnography). Montreal Cognitive Assessment (MoCA) scale and Nine-Box Maze were used to assess general cognitive function and specific memory function, respectively. The serum levels of BDNF and GDNF were detected using ELISA. Results Compared to the controls, CID patients had significantly higher PSQI scores (CID patients: 14.0±2.2, healthy controls: 3.9±1.1; t=28.093, P<0.01), lower MoCA scores (CID patients: 24.5±3.6, healthy controls: 26.5±0.9; t=-2.985, P<0.01), more errors in object working memory (CID patients: 1.0 (0, 1.0), healthy controls: 0 (0, 0.3)), spatial working memory (CID patients: 3.0 (2.0, 4.0), healthy controls: 1.0 (1.0, 2.0)) and object recognition memory (CID patients: 0 (0, 0), healthy controls: 0 (0, 0); Z=-2.896、-5.007、-2.306, P<0.05), and lower serum BDNF (CID patients: (19.48±7.50) ng/ml, healthy controls: (46.49±13.33) ng/ml; t=-10.274, P<0.01) and GDNF (CID patients: (32.76±14.04) pg/ml, healthy controls: (59.63±20.30) pg/ml; t=-7.240, P<0.01). The partial correlation analysis showed that in the CID patients, the levels of BDNF and GDNF were correlated with PSQI scores negatively (r=-0.293, -0.320, P<0.05) and MoCA scores positively (r=0.331, 0.295, P<0.05). The BDNF level was also correlated with the duration of disease and the errors in the spatial working memory test negatively (r=-0.319, -0.393, P<0.05), and the GDNF level was correlated with the total sleep time detected with polysomnogram positively (r=0.520, P<0.05). Conclusion Serum BDNF and GDNF levels in CID patients were lower than those in healthy controls, and correlated with sleep quality and cognitive impairment. Key words: Insomnia; Neurotrophic factor; Cognitive function

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 score0.005
Threshold uncertainty score0.010

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)0.0010.000

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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