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Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium

https://doi.org/10.18699/VJGB-23-89

Abstract

Postoperative delirium (POD) is considered one of the most severe complications, resulting in impaired cognitive function, extended hospitalization, and higher treatment costs. The challenge of early POD diagnosis becomes particularly significant in cardiac surgery cases, as the incidence of this complication exceeds 50 % in certain patient categories. While it is known that neuroinflammation, neurotransmitter imbalances, disruptions in neuroendocrine regulation, and interneuronal connections contribute significantly to the development of POD, the molecular, genetic mechanisms of POD in cardiac surgery patients, along with potential metabolomic diagnostic markers, remain in adequately understood. In this study, blood plasma was collected from a group of patients over 65 years old after cardiac surgery involving artificial circulation. The collected samples were analyzed for sphingomyelin content and quantity using high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS/MS) me thods. The analysis revealed four significantly different sphingomyelin contents in patients with POD compared to those who did not develop POD (control group). Employing gene network reconstruction, we perceived a set of 82 regulatory enzymes affiliated with the genetic coordination of the sphingolipid metabolism pathway. Within this set, 47 are assumed to be regulators of gene expression, governing the transcription of enzymes pivotal to the metabolic cascade. Complementing this, an additional assembly of 35 regulators are considered to be regulators of activity, degradation, and translocation dynamics of enzymes integral to the aforementioned pathway. Analysis of the overrepresentation of diseases with which these regulatory proteins are associated showed that the regulators can be categorized into two groups, associated with cardiovascular pathologies (CVP) and neuropsychiatric diseases (NPD), respectively. The regulators associated with CVP are expectedly related to the effects on myocardial tissue during surgery. It is hypothesized that dysfunction of NPD-associated regulators may specifically account for the development of POD after cardiac surgery. Thus, the identified regulatory genes may provide a basis for planning further experiments, in order to study disorders at the level of expression of these genes, as well as impaired function of proteins encoded by them in patients with POD. The identified significant sphingolipids can be considered as potential markers of POD. 

About the Authors

V. A. Ivanisenko
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation


N. V. Basov
Novosibirsk State University; N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



A. A. Makarova
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



A. S. Venzel
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk



A. D. Rogachev
Novosibirsk State University; N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



P. S. Demenkov
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk



T.  V. Ivanisenko
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University; Kurchatov Genomic Center of ICG SB RAS
Russian Federation

Novosibirsk



M. A. Kleshchev
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



E. V. Gaisler
Novosibirsk State University; N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



G. B. Moroz
E. Meshalkin National Medical Research Center of the Ministry of Health of Russian Federation
Russian Federation

Novosibirsk



V. V. Plesko
E. Meshalkin National Medical Research Center of the Ministry of Health of Russian Federation
Russian Federation

Novosibirsk



Y. S. Sotnikova
Novosibirsk State University; N.N. Vorozhtsov Novosibirsk Institute of Organic Chemistry of the Siberian Branch of the Russian Academy of Sciences; Boreskov Institute of Catalysis of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



Y. V. Patrushev
Novosibirsk State University; Boreskov Institute of Catalysis of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



V. V. Lomivorotov
E. Meshalkin National Medical Research Center of the Ministry of Health of Russian Federation; Penn State Health Milton S. Hershey Medical Center
Russian Federation

Novosibirsk

Hershey, PA, USA



N. A. Kolchanov
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Russian Federation

Novosibirsk



A. G. Pokrovsky
Novosibirsk State University
Russian Federation

Novosibirsk



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