Olga A. Snytnikova

Dr. Olga A. Snytnikova

International Tomography Center, Novosibirsk, Novosibirskaya Oblast’, Russia
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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 May 2019 in Metabolomics
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OSOlga A. Snytnikova
Olga A. Snytnikova
AKAnastasiya A. Khlichkina
Anastasiya A. Khlichkina
RSRenad Z. Sagdeev
Renad Z. Sagdeev
YTYuri Tsentalovich
Yuri Tsentalovich

11 February 2020 in Nutrients
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MBMariya Borisova
Mariya Borisova
OSOlga A. Snytnikova
Olga A. Snytnikova
Ekaterina A LitvinovaEkaterina A Litvinova
Ekaterina A Litvinova
KAKseniya Achasova
Kseniya Achasova
TBTatyana Babochkina
Tatyana Babochkina
EKElena Kozhevnikova
Elena Kozhevnikova
Growing evidence suggests that intestinal mucosa homeostasis impacts immunity, metabolism, the Central Nervous System (CNS), and behavior. Here, we investigated the effect of the monosaccharide fucose on inflammation, metabolism, intestinal microbiota, and social behavior in the Dextran Sulfate Sodium (DSS)-induced chronic colitis mouse model. Our data show that chronic colitis is accompanied by the decrease of the serum tryptophan level and the depletion of the intestinal microbiota, specifically tryptophan-producing E. coli and Bifidobacterium. These changes are associated with defects in the male mouse social behavior such as a lack of preference towards female bedding in an odor preference test. The addition of fucose to the test animals’ diet altered the bacterial community, increased the abundance of tryptophan-producing E. coli, normalized blood tryptophan levels, and ameliorated social behavior deficits. At the same time, we observed no ameliorating effect of fucose on colon morphology and colitis. Our results suggest a possible mechanism by which intestinal inflammation affects social behavior in male mice. We propose fucose as a promising prebiotic, since it creates a favorable environment for the beneficial bacteria that promote normalization of serum tryptophan level and amelioration of the behavioral abnormalities in the odor preference test.

1 April 2007 in Russian Chemical Bulletin
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OSOlga A. Snytnikova
Olga A. Snytnikova
PSPetr Sergeevich Sherin
Petr Sergeevich Sherin
LKL. V. Kopylova
L. V. Kopylova
YTYu. P. Tsentalovich
Yu. P. Tsentalovich

8 January 2022 in Chemosphere
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IPIvan Pozdnyakov
Ivan Pozdnyakov
OSOlga A. Snytnikova
Olga A. Snytnikova
VYVadim V. Yanshole
Vadim V. Yanshole
RFRoman G. Fedunov
Roman G. Fedunov
VGVyacheslav P. Grivin
Vyacheslav P. Grivin
VPVictor F. Plyusnin
Victor F. Plyusnin

17 October 2023 in Metabolites
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VYVadim V. Yanshole
Vadim V. Yanshole
AMArsenty D. Melnikov
Arsenty D. Melnikov
LYLyudmila Yanshole
Lyudmila Yanshole
EZEkaterina Zelentsova
Ekaterina Zelentsova
OSOlga A. Snytnikova
Olga A. Snytnikova
YTYuri Tsentalovich
Yuri Tsentalovich
The Animal Metabolite Database (AMDB, https://amdb.online) is a freely accessible database with built-in statistical analysis tools, allowing one to browse and compare quantitative metabolomics data and raw NMR and MS data, as well as sample metadata, with a focus on the metabolite concentrations rather than on the raw data itself. AMDB also functions as a platform for the metabolomics community, providing convenient deposition and exchange of quantitative metabolomic data. To date, the majority of the data in AMDB relate to the metabolite content of the eye lens and blood of vertebrates, primarily wild species from Siberia, Russia and laboratory rodents. However, data on other tissues (muscle, heart, liver, brain, and more) are also present, and the list of species and tissues is constantly growing. Typically, every sample in AMDB contains concentrations of 60–90 of the most abundant metabolites, provided in nanomoles per gram of wet tissue weight (nmol/g). We believe that AMDB will become a widely used tool in the community, as typical metabolite baseline concentrations in tissues of animal models will aid in a wide variety of fundamental and applied scientific fields, including, but not limited to, animal modeling of human diseases, assessment of medical formulations, and evolutionary and environmental studies.