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Record W4390226255 · doi:10.17116/jnevro202312312150

Biomarkers of neuroinflammation in patients with chronic cerebral ischemia during the therapy with vinpocetine (study INFLAMARK)

2023· article· en· W4390226255 on OpenAlexaboutno aff
I. N. Samartsev, С. А. Живолупов, O.V. Gorbatenkova, V. V. Ponomarev, J.S. Butakova

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsVinpocetineMedicineMontreal Cognitive AssessmentInternal medicineHospital Anxiety and Depression ScaleNeuroinflammationEpworth Sleepiness ScaleAnxietyAnesthesiaCognitive impairmentInflammationPsychiatryPharmacology

Abstract

fetched live from OpenAlex

Objective. To evaluate the effect of vinpocetine therapy on clinical manifestations of chronic cerebral ischemia (CCI) and the blood concentrations of neuroinflammation markers (S100B, IL-1β). Material and methods. The study included 30 patients (mean age 61.6 [56.9; 67.9] years) with CCI that received vinpocetine (30 mg/day) for 3 months. Brain changes according to magnetic resonance imaging data were assessed using the STRIVE protocol. We analyzed the dynamics of changes in the clinical questionnaires: Montreal Cognitive Assessment Scale (MoCA), Hospital Anxiety and Depression Scale (HADS), Asthenic State Scale (ASS), Epworth Sleepiness Scale (ESS), general impressions of treatment (Global Rating of Change Scale, GRC). Results. In 3 months after vinpocetine therapy there was a significant improvement in cognitive status (MoCA: 25.1±2.1 vs 26.6±1.4 p<0.05), emotional state (HADS: 8.4±1.4 vs 7.1±1.8 (p<0.05)), daytime sleep parameters (ESS 8.4±2.1 vs 6.2±2.3 p<0.05) and reduction in asthenia (ASS: 72.2±18.1 vs 52.3±9.3, p<0.05). A significantly larger proportion of patients assessed the improvement from therapy as «moderate» and «pronounced» (GRC, n=22, 73.3%). Concentrations of S100B and IL-1β decreased significantly by the time therapy was completed. The overall severity of cerebrovascular changes according to MRI was significantly associated with blood levels of S100β, but not IL-1β: β=0.504, p=0.026, 95% CI 0.149—0.901, mainly due to periventricular changes in white matter (β=0.562, p=0.035, 95% CI (–0.024—0.820). Blood levels of S100β correlated with MoCA test results (r=0.6795), and IL-1β correlated with ESS scores (r=0. 6657). Conclusions. The use of vinpocetine can significantly reduce the severity of cognitive and affective disorders, asthenia, normalize the circadian rhythm of sleep, suppress the expression S100β and IL-1β in patients with CCI. One of the vinpocetine’s mechanisms of action may be the inhibition of neuroinflammation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.218
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 teacher head, 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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