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Record W4408994300 · doi:10.14739/mmt.2025.1.314543

Regulation of the ratio of neurotransmitters and matrix metalloproteinases is a new strategy for secondary prevention of patients with multifocal atherosclerosis

2025· article· en· W4408994300 on OpenAlexaboutno aff
Tetiana Motsak, V. G. Lizogub, O. Kupchynska

Bibliographic record

VenueModern medical technology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsnot available
Fundersnot available
KeywordsMatrix metalloproteinaseSecondary preventionMatrix (chemical analysis)MedicineInternal medicineChemistry

Abstract

fetched live from OpenAlex

Multifocal atherosclerosis (MAS) remains one of the key problems of modern medicine, despite advances in primary and secondary prevention of myocardial infarction (MI) and ischemic stroke (IS). MAS worsens the prognosis and increases the risk of atherosclerotic plaque (AP) destabilization, especially under the influence of matrix metalloproteinases (MMPs). Activation of the sympatho-adrenal and serotonergic systems with the release of dopamine and serotonin also plays a significant role in the pathogenesis of this process, influencing the regulation of vascular tone and blood flow in various organs. The aim of this study was to study the possibilities of normalizing the balance of serotonin and dopamine in patients with MAS to stabilize the atherosclerotic process and improve the regional hemodynamics of the heart, brain, and lower extremities. Materials and methods. The study involved 54 men aged 60 to 90 years, including the first group (n = 26) patients with MAS with intermittent claudication, atherosclerotic encephalopathy and post-infarction cardiosclerosis; the second group (n = 28) patients with MAS who had IS, with concomitant atherosclerosis of the coronary and femoral arteries, and the control group – 18 people of comparable age. Examination: ankle-brachial index, Holter ECG monitoring, walking distance, dopplerography with determination of volumetric blood flow indicators. Blood levels of serotonin, dopamine, MMP-2 and MMP-9 were determined. Cognitive function was assessed using the Montreal scale. In addition, patients of both groups were prescribed cilostazol (50 mg twice a day), GABA – aminalon (250 mg twice a day) and atenolol (25 mg once a day). Results. The results of the study showed significant disorders of hemodynamics and neurotransmitter balance in patients with MAS. We found a significant (p < 0.001) excess of serotonin in the blood serum, an increase of dopamine (p < 0.01) by 60–70 % more than in control group persons. The morning peak of a 5–7-fold increase in plasma serotonin levels is noteworthy. Levels of MMP-2 and MMP-9 were almost twice as high (p < 0.01) in patients who experienced IS or MI compared with the control group. After the addition of cilostazol, aminalon and atenolol to the basic therapy, we found a significant decrease in the ultra-high levels of serotonin in blood plasma (p < 0.001) and serum (p < 0.05). The levels of MMP-2 (p < 0.01) decreased, volumetric blood flow indicators improved in all three studied arteries (p < 0.05), the painless walking distance and maximum walking distance increased, and cognitive functions improved significantly (p < 0.05). Conclusions. The proposed new strategy for secondary prevention of cardiovascular events in patients with MAS with a history of ischemic stroke or myocardial infarction is based on the correction of the imbalance of neurotransmitters serotonin and dopamine by adding to the basic therapy, according to the latest guidelines 2024, a complex of drugs – cilostazol, aminalon and atenolol.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 science0.0000.000
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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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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Citations0
Published2025
Admission routes1
Has abstractyes

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