Evidence map›Paper›PMID 42352381›Full record

ArticleBiomolecules2026

L-Arginine and Its Metabolites in Age-Related Cerebral Small Vessel Disease with Cognitive Impairment.

Larisa Dobrynina, Alexandra Byrochkina, Kamila Shamtieva, Elena Kremneva, Maryam Zabitova, Alla Shabalina

Abstract read
In one paragraph

Article in Biomolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Larisa DobryninaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.ORCID 0000-0001-9929-2725
Alexandra ByrochkinaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.
Kamila ShamtievaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.
Elena KremnevaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.ORCID 0000-0001-9396-6063
Maryam ZabitovaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.ORCID 0000-0003-2523-333X
Alla ShabalinaRussian Center of Neurology and Neurosciences, 125367 Moscow, Russia.

Funding

Russian Science Foundation 22-15-00183-P
6 · The paper itself

Abstract

A key mechanism in the pathogenesis of cerebral small vessel disease (CSVD) is endothelial dysfunction associated with impaired metabolism of nitric oxide (NO) and its main substrate, L-arginine. The aim of the study was to assess parameters of L-arginine metabolism and their association with MRI-defined brain damage in CSVD patients. A total of 100 CSVD patients (according to MRI STRIVE standards) and cognitive impairment (CI) of varying severity, as well as 20 healthy volunteers, were analyzed. Levels of L-arginine and its metabolites-L-ornithine, L-citrulline, and asymmetric dimethylarginine (ADMA)-were measured; diffusion tensor MRI, MRI volumetry, and morphometry were performed. A threshold level of L-arginine (51.25 μmol/L) was identified, above which an association with CI was observed. Patients with L-arginine ≥ 51.25 μmol/L demonstrated poorer performance on cognitive tests (Stroop test, trail-making test (TMT)-B, TMT B-A, 10-word test) and more severe brain damage, reflected by greater severity of MRI markers (white matter hyperintensities, microbleeds), changes in brain component volumes, cortical atrophy in specific regions, and impairment of white matter microstructural integrity. The obtained data indicate a pathogenetic link between disturbances in L-arginine homeostasis and the development of CSVD with CI and support the need for further studies aimed at refining approaches to their correction.

Indexed as

ArginineCerebral Small Vessel DiseasesCognitive DysfunctionAgedAgingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedArgininecerebral small vessel diseasediffusion tensor MRIL-argininemild cognitive impairmentMRI morphometryMRI volumetrysubjective cognitive impairment

Identifiers

PMID42352381
PMCPMC13297444

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.