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Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium. / Ivanisenko, V A; Basov, N V; Makarova, A A et al.

In: Vavilovskii Zhurnal Genetiki i Selektsii, Vol. 27, No. 7, 12.2023, p. 768-775.

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Ivanisenko VA, Basov NV, Makarova AA, Venzel AS, Rogachev AD, Demenkov PS et al. Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium. Vavilovskii Zhurnal Genetiki i Selektsii. 2023 Dec;27(7):768-775. doi: 10.18699/VJGB-23-89

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Ivanisenko, V A ; Basov, N V ; Makarova, A A et al. / Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium. In: Vavilovskii Zhurnal Genetiki i Selektsii. 2023 ; Vol. 27, No. 7. pp. 768-775.

BibTeX

@article{9f611cc3eeb14704867476d93e42542b,
title = "Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium",
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 inadequately 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) methods. 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.",
author = "Ivanisenko, {V A} and Basov, {N V} and Makarova, {A A} and Venzel, {A S} and Rogachev, {A D} and Demenkov, {P S} and Ivanisenko, {T V} and Kleshchev, {M A} and Gaisler, {E V} and Moroz, {G B} and Plesko, {V V} and Sotnikova, {Y S} and Patrushev, {Y V} and Lomivorotov, {V V} and Kolchanov, {N A} and Pokrovsky, {A G}",
note = "The study was supported by Russian Science Foundation (Moscow, Russia) grant No. 22-23-01068. Copyright {\textcopyright} AUTHORS. Публикация для корректировки.",
year = "2023",
month = dec,
doi = "10.18699/VJGB-23-89",
language = "English",
volume = "27",
pages = "768--775",
journal = "Вавиловский журнал генетики и селекции",
issn = "2500-0462",
publisher = "Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences",
number = "7",

}

RIS

TY - JOUR

T1 - Gene networks for use in metabolomic data analysis of blood plasma from patients with postoperative delirium

AU - Ivanisenko, V A

AU - Basov, N V

AU - Makarova, A A

AU - Venzel, A S

AU - Rogachev, A D

AU - Demenkov, P S

AU - Ivanisenko, T V

AU - Kleshchev, M A

AU - Gaisler, E V

AU - Moroz, G B

AU - Plesko, V V

AU - Sotnikova, Y S

AU - Patrushev, Y V

AU - Lomivorotov, V V

AU - Kolchanov, N A

AU - Pokrovsky, A G

N1 - The study was supported by Russian Science Foundation (Moscow, Russia) grant No. 22-23-01068. Copyright © AUTHORS. Публикация для корректировки.

PY - 2023/12

Y1 - 2023/12

N2 - 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 inadequately 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) methods. 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.

AB - 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 inadequately 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) methods. 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.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85181519269&origin=inward&txGid=e9eb064b0316c928db3211ee80ed13bf

U2 - 10.18699/VJGB-23-89

DO - 10.18699/VJGB-23-89

M3 - Article

C2 - 38223851

VL - 27

SP - 768

EP - 775

JO - Вавиловский журнал генетики и селекции

JF - Вавиловский журнал генетики и селекции

SN - 2500-0462

IS - 7

ER -

ID: 59524733