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[Correlations between serum BDNF, IL-18 and hs-CRP levels in patients with acute cerebral infarction and vascular cognitive impairment].

2024· article· en· W4400932366 on OpenAlexaboutno aff
Jinna Li, Xu Li, Min Li, Yi Song, Jing Zhang, Longbin Jia

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentInternal medicineMedicineCardiologyCognitionCerebral infarctionInterleukin 6InflammationPsychiatryIschemiaDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the correlations between serum levels of brain-derived neurotrophic factor (BDNF), interleukin-18 (IL-18) and hypersensitivity C-reactive protein (hs-CRP) in patients with acute cerebral infarction and vascular cognitive impairment (VCI), and to provide some clinical bases for early prevention of VCI. METHODS: A total of 160 patients with acute cerebral infarction admitted in Department of Neurology of Jincheng People' s Hospital from May 2019 to April 2020 were enrolled in this study and were devided into three groups according to whether or not combined with cognitive impairment, including no cognitive impairment group (NCI, 57 cases), vascular cognitive impairment no dementia group (VCIND, 56 cases) and vascular dementia group (VaD, 47 cases). The cognitive function of all the patients were evaluated by Montreal cognitive assessment (MoCA). The National Institute of Health stroke scale (NIHSS) was used to assess the degree of neurological deficit (mild-, moderate-, severe-neurologic deficit group). The infarct size was calculated by Pullicino' s method (small-, middle-, large-infarct group). The levels of serum BDNF and IL-18 were measured by enzyme-linked immunosorbent assay (ELISA), and serum levels of hs-CRP were measured by immunoturbidimetry during the acute phase (0-7 d), recovery period (15-30 d) and 6 months after cerebral infarction. The effects of varying degrees of neurological deficits and different size of infarction on BDNF, IL-18 and hs-CRP were observed. The levels of serum BDNF, IL-18 and hs-CRP in the patients of the three groups with acute, convalescent and six-month cerebral infarction were compared, and their correlations with VCI were analyzed. RESULTS: < 0.05). Correlation analysis revealed that the levels of BDNF was positively correlated with MoCA scores but negatively correlated with the severity of cognitive impairment while the expression levels of IL-18 and hs-CRP were negatively correlated with MoCA scores but positively correlated with the severity of cognitive impairment. CONCLUSION: Serum BDNF, IL-18 and hs-CRP are involved in the pathological process of occurrence and development of VCI in the patients with acute cerebral infarction. BDNF has a protective effect on VCI while IL-18 and hs-CRP cause severe cognitive impairment. The levels of serum BDNF、IL-18 and hs-CRP in the patients with acute ischemic cerebral infarction are closely related to the severity of cognitive impairment and can be used as biomarkers of early diagnosis of VCI.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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
Published2024
Admission routes1
Has abstractyes

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