Elena Grineva

Prof. Dr. Elena Grineva

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 April 2011 in Aging
Verified
Journal Article
Open access
DZDaria Zhebrun
Daria Zhebrun
YKYulia Kudryashova
Yulia Kudryashova
ABAlina Yu Babenko
Alina Yu Babenko
AMAlexei Maslyansky
Alexei Maslyansky
NKNatalya Kunitskaya
Natalya Kunitskaya
ESEvgeny Shlyakhto
Evgeny Shlyakhto
The protein tyrosine phosphatase nonreceptor 22 gene (PTPN22) is an important negative regulator of signal transduction through the T-cell receptors (TCR). Recently a single-nucleotide polymorphism (SNP) 1858 C/T within this gene was shown to be a risk factor for several autoimmune diseases, such as rheumatoid arthritis (RA), Graves' Disease (GD), systemic lupus erythematosus (SLE), Wegener's granulomatosis (WG) and type 1 diabetes mellitus (T1D). The aim of this study was to analyze a possible association between 1858 C/T SNP and a number of autoimmune diseases, including RA, GD and T1D in Russian population. Patients with T1D, GD, RA and healthy controls were genotyped for the 1858 C/T SNP in PTPN22 gene. We found a significant association between PTPN22 1858 C/T SNP and T1D and GD. 1858T/T genotype was observed more frequently in T1D and GD patients compared to control subjects. No such association was observed for RA. In concordance with a previous data establishing PTPN22 1858 C/T SNP association with several autoimmune diseases, our findings provide further evidence that the PTPN22 gene may play an important role in the susceptibility to some autoimmune diseases.

14 October 2023 in Biomedicines
Verified
Journal Article
Open access
PDF file
EVElena Vasyukova
Elena Vasyukova
EZEkaterina Zaikova
Ekaterina Zaikova
OKolga kalinina
olga kalinina
IGInga Gorelova
Inga Gorelova
IPIrina Pyanova
Irina Pyanova
PPPolina Popova
Polina Popova
Background: it has been suggested that chronic low-grade inflammation plays an important role in the pathogenesis of polycystic ovary syndrome (PCOS). According to previous studies, it remains unclear which cytokines influence the development of this syndrome and whether their increase is associated with the presence of excess weight/obesity or is an independent factor. The aim of our research was to determine the parameters of chronic inflammation in women with PCOS in comparison with healthy women in the normal weight and the overweight subgroups. Methods: This case-control study included 44 patients with PCOS (19 women with a body mass index (BMI) < 25 kg/m² and 25 women with a BMI ≥ 25 kg/m²) and 45 women without symptoms of PCOS (22 women with a BMI < 25 kg/m² and 23 women with a BMI ≥ 25 kg/m²). Thirty-two cytokines were analyzed in the plasma of the participants using Immunology multiplex assay HCYTA-60K-PX48 (Merck Life Science, LLC, Germany). Results: Cytokines: interleukin-1 receptor antagonist (IL-1 RA), IL-2, IL-6, IL-17 E, IL-17 A, IL-18, and macrophage inflammatory protein-1 alpha (MIP-1 α) were increased in women with PCOS compared to controls, both in lean and overweight/obese subgroups (p < 0.05). Moreover, only lean women with PCOS had higher levels of IL-1 alpha, IL-4, IL-9, IL-12, IL-13, IL-15, tumor necrosis factor (TNF- α) alpha and beta, soluble CD40 and its ligand (SCD40L), fractalkine (FKN), monocyte-chemotactic protein 3 (MCP-3), and MIP-1 β compared to the control group (p < 0.05). IL-22 was increased in the combined group of women with PCOS (lean and overweight/obese) compared to the control group (p = 0.012). Conclusion: Chronic low-grade inflammation is an independent factor affecting the occurrence of PCOS and does not depend on the presence of excess weight/obesity. For the first time, we obtained data on the increase in such inflammatory parameters as IL-9, MCP-3, and MIP-1α in women with PCOS.

9 January 2018 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
EPEvgenii Pustozerov
Evgenii Pustozerov
PPPolina Popova
Polina Popova
ATAleksandra Tkachuk
Aleksandra Tkachuk
YBYana Bolotko
Yana Bolotko
ZYZafar Yuldashev
Zafar Yuldashev
EGElena Grineva
Elena Grineva
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

21 July 2022 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
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JOJoris Osinga
Joris Osinga
ADArash Derakhshan
Arash Derakhshan
GPGlenn E Palomaki
Glenn E Palomaki
GAGhalia Ashoor
Ghalia Ashoor
TMTuija Männistö
Tuija Männistö
TKTim I M Korevaar
Tim I M Korevaar
Context: Interpretation of thyroid function tests during pregnancy is limited by the generalizability of reference intervals between cohorts due to inconsistent methodology. Objective: (1) To provide an overview of published reference intervals for thyrotropin (TSH) and free thyroxine (FT4) in pregnancy, (2) to assess the consequences of common methodological between-study differences by combining raw data from different cohorts. Methods: (1) Ovid MEDLINE, EMBASE, and Web of Science were searched until December 12, 2021. Studies were assessed in duplicate. (2) The individual participant data (IPD) meta-analysis was performed in participating cohorts in the Consortium on Thyroid and Pregnancy. Results: (1) Large between-study methodological differences were identified, 11 of 102 included studies were in accordance with current guidelines; (2) 22 cohorts involving 63 198 participants were included in the meta-analysis. Not excluding thyroid peroxidase antibody–positive participants led to a rise in the upper limits of TSH in all cohorts, especially in the first (mean +17.4%; range +1.6 to +30.3%) and second trimester (mean +9.8%; range +0.6 to +32.3%). The use of the 95th percentile led to considerable changes in upper limits, varying from –10.8% to –21.8% for TSH and –1.2% to –13.2% for FT4. All other additional exclusion criteria changed reference interval cut-offs by a maximum of 3.5%. Applying these findings to the 102 studies included in the systematic review, 48 studies could be used in a clinical setting. Conclusion: We provide an overview of clinically relevant reference intervals for TSH and FT4 in pregnancy. The results of the meta-analysis indicate that future studies can adopt a simplified study setup without additional exclusion criteria.

4 October 2015 in BioMed Research International
Verified
Journal Article
Open access
PDF file
ABA. Berezina
A. Berezina
OBO. Belyaeva
O. Belyaeva
OBO. Berkovich
O. Berkovich
EBE. Baranova
E. Baranova
TKTatiana Karonova
Tatiana Karonova
ESE. Shlyakhto
E. Shlyakhto
Objective. To assess prevalence of metabolically healthy individuals among patients with abdominal obesity (AO) and to determine phenotype and potential genetic traits associated with a benign metabolic status.Methods. 503 AO patients without cardiovascular diseases were examined. Waist circumference (WC), BMI, blood pressure, plasma glucose and serum insulin levels, HOMA-IR, lipid profile, and adiponectin (AN) and leptin (LEP) concentrations in serum were measured. Polymorphisms A19G and Q223R of the LEP and LEP receptor gene, and G276T and T45G of the AN gene were investigated.Results. 91.3% of patients were metabolically unhealthy obese (MUO), and 8.7% metabolically healthy obese (MHO). MHO patients were younger, and had lesser BMI and WC, while duration of obesity, frequency, and duration of physical training were greater than MUO patientsp<0.05. In MHO and MUO patients distribution of the G19G, G19A, and A19A genotypes of the LEP gene and G276G, G276T, and T276T genotypes of AN gene did not differ. The Т45Т genotype was associated with increase of metabolic disorders’ risk for patients with АО (OR = 2.331; 95% CI=1.121÷5.132).Conclusions. Prevalence of MHO individuals among patients with AO is low. Benign metabolic status was associated with younger age, lower waist circumference, and higher physical activity, shorter duration of obesity, and G45G adiponectin genotype carriage.

1 November 2016 in The Journal of Steroid Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
TKTatiana Karonova
Tatiana Karonova
AAA. Andreeva
A. Andreeva
INI. Nikitina
I. Nikitina
OBO. Belyaeva
O. Belyaeva
EME. Mokhova
E. Mokhova
EGElena Grineva
Elena Grineva