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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Comparative Analysis of Lipid Metabolism in Trophoblast Subpopulations in Preeclampsia and In Vitro Hypoxia Model

Frontiers in Molecular Biosciences. 2025. Vol. 12. Article 1731126.
Antipenko I., Knyazev E., Timur Kulagin, Tonevitsky A.

Preeclampsia is a leading cause of maternal and perinatal morbidity associated with systemic lipid metabolism disturbances, yet the underlying molecular mechanisms remain incompletely understood. In this study, we integrated single-cell RNA-seq data from preeclamptic placentas with an in vitro hypoxia model to analyze gene expression changes across distinct trophoblast subpopulations. While all trophoblast lineages exhibited hypoxia-driven metabolic reprogramming, the response was highly cell-type specific. In the syncytiotrophoblast (SCT), the primary maternal-fetal barrier, preeclampsia was associated with a significant downregulation of LDLR and cholesterol biosynthesis genes (OR = 4.991, p = 6.30e−04). Concurrently, we observed increased expression of genes governing transcytosis (SCARB1, CAV1). In contrast, the extravillous trophoblast (EVT) displayed a divergent adaptive response, characterized by elevated LDLR expression and downregulated cholesterol biosynthesis. In vitro hypoxia modeling in BeWo b30 cells recapitulated the SCT-specific phenotype and identified a potential regulatory mechanism: a fivefold increase in PCSK9 expression (padj = 3.53e−10) and a 1.5-fold decrease in SNX17 (padj = 1.76e−04)—key regulators that limit lipoprotein receptor recycling. This was accompanied by the suppression of lipid biosynthesis genes and the transcriptional activation of pathways associated with transcytosis and cholesterol efflux. Collectively, these results confirm the pivotal role of hypoxic stress in disrupting placental lipid metabolism and reveal a subpopulation-specific transcriptional program in preeclampsia—a shift from endocytosis to transcytosis—that likely serves as a compensatory mechanism to ensure fetal lipid supply under conditions of limited availability.

Research target: Biology Medical Biotechnologies
Language: English
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Keywords: гипоксияPreeclampsiaПреэклампсияhypoxiaLipid metabolismPCSK9trophoblastsingle-cell RNA-seqSCARB1трофобластметаболизм липидовРНК-секвенирование единичных клетокSCARB1PCSK9
Publication based on the results of:
Development of an in vitro intestine-on-a-chip model with physiologic permeability characteristics (2024)
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