Ekaterina Chernevskaya

Dr. Ekaterina Chernevskaya

orcid

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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8 June 2020 in Critical Care
Verified
Journal Article
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ECEkaterina Chernevskaya
Ekaterina Chernevskaya
NBNatalia Beloborodova
Natalia Beloborodova
NKNatalia Klimenko
Natalia Klimenko
APAlisa Pautova
Alisa Pautova
DSDmitrii Shilkin
Dmitrii Shilkin
ATAlexander Tyakht
Alexander Tyakht
Background: High serum levels of certain aromatic microbial metabolites (AMM) are associated with severity and mortality in critically ill patients. Omics-based studies suggest gut dysbiosis and reduced microbiome diversity in critical conditions. However, the landscape of gut microbial metabolites is still to be outlined, not to mention the interplay correlation between the metabolome and gut microbiome in critically ill patients. The aim of this study was to analyze the association between serum and fecal levels of AMM and compare them with the composition of gut microbiota in critically ill patients in the acute and chronic stages. Methods: In this prospective observational pilot study, we analyzed the temporal dynamics of the gut microbiome and the AMM spectrum across two distinct subgroups—acute critical ill (ACI) patients with nosocomial pneumonia and chronically critically ill (CCI) patients (9 subjects each group)—as well as performed comparison with 23 healthy volunteers. The AMM levels for each patient were measured using GC-MS in simultaneously taken serum and fecal samples (SFS). These parameters were compared with 16S rRNA fecal microbiome profiles. Results: The observed proportions of bacterial taxa suggest a significant gut dysbiosis in the ACI and the CCI patients. Stronger imbalance in microbiome composition and dynamics observed in the ACI patients compared to the CCI ones resonates with a higher severity in the former group. The total levels of AMM in serum samples were higher for the ACI patients than for the CCI patients (3.7 (1.4–6.3) and 1.1 (1.0–1.6) μM, respectively; p = 0.0003). The qualitative composition of the SFS was also altered. We discovered significant associations between gut microbial taxa levels and metabolite concentrations in blood serum as well as in feces in each of the ACI and the CCI patients. Conclusions: Aromatic microbial metabolite profiles in the gut and the serum are interlinked and reflect a disruption of the gut microbial community in critically ill patients.

1 September 2018 in Shock
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Journal Article
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NBNatalia Vladimirovna Beloborodova
Natalia Vladimirovna Beloborodova
YSYulia N. Sarshor
Yulia N. Sarshor
ABAleksandra Yu. Bedova
Aleksandra Yu. Bedova
ECEkaterina Chernevskaya
Ekaterina Chernevskaya
APAlisa K. Pautova
Alisa K. Pautova
We hypothesized that aromatic microbial metabolites (AMM), such as phenyllactic (PhLA), p-hydroxyphenylacetic (p-HPhAA), and p-hydroxyphenyllactic (p-HPhLA) acids, contribute to the pathogenesis of septic shock. Clinical and laboratory data of patients with community-acquired pneumonia were obtained on intensive care unit admission and the next day. Patients were divided into two groups based on septic shock presence or absence. The levels of AMM (PhLA, p-HPhAA, p-HPhLA, and their sum, ∑3AMM), catecholamine metabolites (3,4-dihydroxymandelic [DHMA], 3,4-dihydroxyphenylacetic [DOPAC], and homovanillic [HVA] acids), lactate, N-terminal pro-brain natriuretic peptide (NT-proBNP), inducible nitric oxide synthase (iNOS), and procalcitonin (PCT) were compared. Correlations between AMM and clinical and laboratory data were calculated. There were 20 patients in the septic shock group and 21 in the non-septic shock group. On admission, the septic shock patients demonstrated significantly higher levels of PhLA (2.3 vs. 0.8 μmol/L), p-HPhAA (4.6 vs. 1.4 μmol/L), p-HPhLA (7.4 vs. 2.6 μmol/L), HVA, lactate, and significantly lower levels of iNOS. The next day, the two groups also showed significant differences in the levels of PCT and NT-proBNP. The correlation between ∑3AMM and presence of shock, levels of lactate, HVA, and NT-proBNP on admission was 0.44, 0.67, 0.57, and 0.38, respectively, and the correlation on the next day was 0.59, 0.73, 0.76, and 0.6, respectively (p < 0.01). These findings can be explained by the ability of AMM to reduce tyrosine hydroxylase activity, thus limiting the synthesis of catecholamines. AMM are involved in the pathogenesis of septic shock.

24 October 2016 in Critical Care
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Journal Article
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RBR. M. Bateman
R. M. Bateman
MSM. D. Sharpe
M. D. Sharpe
JJJ. E. Jagger
J. E. Jagger
CEC. G. Ellis
C. G. Ellis
JSJ. Solé-Violán
J. Solé-Violán
EPE Prandi
E Prandi
[This corrects the article DOI: 10.1186/s13054-016-1208-6.].

28 October 2018 in General Reanimatology
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Journal Article
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ECEkaterina Chernevskaya
Ekaterina Chernevskaya
NBN. V. Beloborodova
N. V. Beloborodova
Radical changes in the composition, diversity and metabolic activity of gut microbiome in critically ill patients most probably affect adversely the outcome of treatment. Microbiota dysfunction may be a predictor and presumably the main cause of infectious complications and sepsis. Clinicists use objective scales for evaluation of patient condition severity including specific parameters of disorders of organs and systems; however, microbiota function is not considered specific and, hence, not evaluated. Technical capabilities of the recent decade have allowed characterizing the intestinal microbiota and that helped understanding the ongoing processes. The authors have analyzed data about the role of intestinal microbiota as a metabolic 'reactor' during critical states, possible complications related to misbalance of 'harmful' and 'beneficial' bacteria, and examined potential of a targeted therapy aimed directly at correction of intestinal microbiota. Search for papers was carried out using Scopus and Web of Science databases 2001 to 2018 years: (Gut Microbiota) AND (Critically ill OR Intensive care unit), key words taken for the search were: intestinal microbiota, metabolism, sepsis, antibiotics, critically ill patients, multiple organ failure. A number of questions in understanding of the interaction between gut microbiome and host remain open. It is necessary to take into account interference of microbial metabolism while assessing metabolome of patients with sepsis. Among low-molecular compounds found in blood of sepsis patients, special attention should be paid to molecules that can be classified as ‘common metabolites’ of humans and bacteria, for example, degradation products of aromatic compounds, which many-fold rise in blood of septic patients. It is necessary to take into consideration and experimentally model changes in the human internal environment, which occur during radical transformation of microbiome in critically ill patients. Such approach brings in new prospects for objective monitoring of diseases by evaluating metabolic profile at a particular moment of time based on integral indices reflecting the status of microbiome/metabolome system, which will supply new targets for therapeutic intervention in future.

20 February 2021 in Metabolites
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ECEkaterina Chernevskaya
Ekaterina Chernevskaya
NKNatalia Klimenko
Natalia Klimenko
Alisa PautovaAlisa Pautova
Alisa Pautova
IBIrina Buyakova
Irina Buyakova
Alexander TyakhtAlexander Tyakht
Alexander Tyakht
NBNatalia Vladimirovna Beloborodova
Natalia Vladimirovna Beloborodova
The community structure and metabolic potential of gut microbiome is not well investigated, especially in chronically critically ill patients with prolonged dependence on support systems after severe brain disorders. Microbial phenolic metabolites can target the brain function by the direct and indirect modulation of inflammation. The aim of this study was to investigate the features of the gut microbiota and profile of certain metabolites in the progression and reversibility of neurological disorders in chronically critically ill patients. Fecal samples were collected in dynamics from such patients (n = 44) and analyzed using 16S rRNA sequencing. Serum microbial and mitochondrial metabolites were measured by GC-MS and compared with the biomarkers and clinical neurological scores. The identified associations between specific bacterial taxa in fecal samples, neurological status and serum levels of metabolites suggest that impacts on specific members of the gut microbiota and their metabolism might be a promising tool for regulating brain function in future.

Verified
Journal Article
Open access
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ESEkaterina Sorokina
Ekaterina Sorokina
Alisa PautovaAlisa Pautova
Alisa Pautova
OFOleg Fatuev
Oleg Fatuev
ВЗВладислав Евгеньевич Захарченко
Владислав Евгеньевич Захарченко
AOAlexander Onufrievich
Alexander Onufrievich
ECEkaterina Chernevskaya
Ekaterina Chernevskaya
Post-COVID-19 syndrome is a complex of different symptoms, which results in a multisystemic impairment after the suffering from COVID-19 infection. The aim of the study was to reveal the clinical, laboratory, and gut disorders in patients with post-COVID-19 syndrome (n = 39) before and after taking part in the 14-day complex program of rehabilitation. A complete blood count, coagulation test, blood chemistry, biomarkers, and metabolites in serum samples, and gut dysbiosis were revealed in patients on the day of admission and after 14-day rehabilitation, in comparison with the variables of healthy volunteers (n = 48) or with reference ranges. On the day of discharge, patients noted an improvement in respiratory function, general well-being, and mood. At the same time, the levels of some metabolic (4-hydroxybenzoic, succinic, fumaric acids) and inflammatory (interleukin-6) variables, which were increased on admission, did not reach the level of healthy people during the rehabilitation program. Taxonomy disbalance was observed in patients’ feces, namely, a high level of total bacterial mass, a decrease in the number of Lactobacillus spp., and an increase in pro-inflammatory microorganisms. The authors suggest that the post-COVID-19 rehabilitation program should be personalized, considering the patient’s state together with not only the baseline levels of biomarkers, but also with the individual taxonomy of the gut microbiota.