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September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
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Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
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Revealing Structure-Reporting Patterns of Pyruvylation Effects on 13C NMR Chemical Shifts in Natural Saccharides

Analytical Chemistry. 2026. Vol. 98. No. 15. P. 10988–10996.
Toukach P., Smirnova N. S., Zdorovenko E. L., Egorova K. S.

Pyruvylation is one of the immunochemically relevant modifications of O-antigens in bacterial and fungal cells. Therefore, fast and relatively simple analytical methods for identifying this modification are highly demanded. 13C NMR spectroscopy is the best candidate for this purpose, but its successful application requires using reference structures and reliable databases. In this work, we collected the available data on the impact of pyruvylation on 13C chemical shifts of monosaccharides in natural glycans from the Carbohydrate Structure Database (CSDB) and analyzed them to reveal characteristic patterns of effects that can be further employed for detection and localization of pyruvate residues in carbohydrate structures. The obtained dataset was set as a reference for the statistical chemical shift prediction algorithm built in CSDB for the purpose of eliminating simulation errors originating from irrelevant reference selection due to the lack of data.

Research target: Chemistry
Language: English
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Keywords: база данныхdatabaseсахаридЯМРpyruvylation effectpyruvylated saccharide13C NMRпируват
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