Publications by authors named "Evgeny Nikolaev"

Article Synopsis
  • The study investigated the presence of anti-podocyte antibodies, specifically targeting synaptopodin and annexin 1, in patients with nephrotic syndrome to evaluate their role in diagnosing primary podocytopathies like Minimal Change Disease (MCD) and Focal Segmental Glomerulosclerosis (FSGS).
  • A total of 72 nephrotic syndrome patients were analyzed, alongside 21 healthy individuals, finding higher antibody levels in MCD and FSGS patients compared to the others, indicating their potential use in diagnosis.
  • The combined analysis of both antibody types showed significant diagnostic accuracy (sensitivity of 80.9% and specificity of 81.3%), although these antibody levels did not predict how well patients
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Background/objectives: The development of blood tests for the early detection of individual predisposition to socially significant diseases remains a pressing issue.

Methods: In this pilot study, multiple reaction monitoring mass spectrometry (MRM-MS) with a BAK-270 assay was applied for protein concentrations analysis in blood plasma from 21 healthy volunteers of the European cohort.

Results: The levels of 138 plasma proteins were reliably and precisely quantified in no less than 50% of samples.

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Article Synopsis
  • Preeclampsia (PE) is a serious pregnancy condition affecting up to 5% of pregnant women, leading to significant health risks for both mothers and newborns, with a need for better early risk assessment methods.
  • A study identified ten maternal serum proteins as potential early markers for PE at 11-13 weeks gestation, with most of these proteins having connections to PE from previous research.
  • A Support Vector Machine (SVM) model using 19 proteins showed a high predictive power (AUC of 0.91, 87% sensitivity, 95% specificity) for early PE detection, outperforming standard screening methods.
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Objectives: The COVID-19 pandemic has exposed a number of key challenges that need to be urgently addressed. Mass spectrometric studies of blood plasma proteomics provide a deep understanding of the relationship between the severe course of infection and activation of specific pathophysiological pathways. Analysis of plasma proteins in whole blood may also be relevant for the pandemic as it requires minimal sample preparation.

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Lipids are the most abundant but poorly explored components of the human brain. Here, we present a lipidome map of the human brain comprising 75 regions, including 52 neocortical ones. The lipidome composition varies greatly among the brain regions, affecting 93% of the 419 analyzed lipids.

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The study of urinary peptidome is an important area of research, which concerns the characterization of endogenous peptides, as well as the identification of biomarkers for a wide range of socially significant diseases. First of all, this relates to renal and genitourinary pathologies and/or pathologies associated with proteinuria, such as kidney diseases, bladder, prostate and ovarian cancers, diabetic nephropathy, and pre-eclampsia. Unlike proteins, peptides do not require proteolytic hydrolysis, can be analyzed in their native form and can provide certain information about occurring (patho)physiological processes.

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Intrauterine growth restriction (IUGR) remains a significant concern in modern obstetrics, linked to high neonatal health problems and even death, as well as childhood disability, affecting adult quality of life. The role of maternal and fetus adaptation during adverse pregnancy is still not completely understood. This study aimed to investigate the disturbance in biological processes associated with isolated IUGR via blood plasma proteomics.

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Metastasis is a serious and often life-threatening condition, representing the leading cause of death among women with breast cancer (BC). Although the current clinical classification of BC is well-established, the addition of minimally invasive laboratory tests based on peripheral blood biomarkers that reflect pathological changes in the body is of utmost importance. In the current study, the serum proteome and lipidome profiles for 50 BC patients with (25) and without (25) metastasis were studied.

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Bleomycin, which is widely used as an antitumor agent, possesses serious adverse effects such as pulmonary toxicity. Local nanoaerosol deposition for lung cancer treatment is a promising alternative to drug delivery to lung lesions. The aim of this work is to test the hypothesis that bleomycin nanoaerosol can be effectively used to treat multiple lung metastases.

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Glomerulopathies with nephrotic syndrome that are resistant to therapy often progress to end-stage chronic kidney disease (CKD) and require timely and accurate diagnosis. Targeted quantitative urine proteome analysis by mass spectrometry (MS) with multiple-reaction monitoring (MRM) is a promising tool for early CKD diagnostics that could replace the invasive biopsy procedure. However, there are few studies regarding the development of highly multiplexed MRM assays for urine proteome analysis, and the two MRM assays for urine proteomics described so far demonstrate very low consistency.

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The molecular mechanisms underlying cardiovascular complications after the SARS-CoV-2 infection remain unknown. The goal of our study was to analyze the features of blood coagulation, platelet aggregation, and plasma proteomics in COVID-19 convalescents with AMI. The study included 66 AMI patients and 58 healthy volunteers.

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Direct comparison of high-resolution mass spectrometry (HRMS) data acquired with different instrumentation or parameters remains problematic as the derived lists of molecular species via HRMS, even for the same sample, appear distinct. This inconsistency is caused by inherent inaccuracies associated with instrumental limitations and sample conditions. Hence, experimental data may not reflect a corresponding sample.

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The Fourier transform ion cyclotron resonance method holds the lead in mass accuracy and resolving power among all other mass spectrometry methods. The dynamically harmonized cell is largely responsible for the supremacy. This cell has an ideal hyperbolic trapping potential after averaging over fast cyclotron motion.

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Chronic liver diseases affect more than 1 billion people worldwide and represent one of the main public health issues. Nonalcoholic fatty liver disease (NAFLD) accounts for the majority of mortal cases, while there is no currently approved therapeutics for its treatment. One of the prospective approaches to NAFLD therapy is to use a mixture of natural compounds.

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Article Synopsis
  • Primary focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) are kidney disorders characterized by damage to podocytes, leading to nephrotic syndrome, but their underlying causes remain unclear.
  • A study was conducted to analyze the urinary proteomic profiles of patients with FSGS and MCD, involving 30 FSGS and 9 MCD patients, who were categorized based on disease severity using a scoring system.
  • The results identified 22 proteins with significant differences between severe and mild cases of FSGS and MCD, with consistent patterns observed in both initial and targeted analyses, suggesting distinct proteomic signatures for each condition.
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FT ICR mass spectrometry is the leader in resolving power among all mass spectrometry methods. Introduction of the dynamically harmonized measuring cell─a closed-cylindrical cell with specifically shaped electrodes─helps to reach the resolving power of more than 10 with a magnetic field of about 7 T. From the theory of FT ICR mass spectrometry it follows that the resolving power of this type of instrument depends linearly on the magnetic field under various conditions.

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Alzheimer's disease (AD) is the most common socially significant neurodegenerative pathology, which currently affects more than 30 million elderly people worldwide. Since the number of patients grows every year and may exceed 115 million by 2050, and due to the lack of effective therapies, early prediction of AD remains a global challenge, solution of which can contribute to the timely appointment of a preventive therapy in order to avoid irreversible changes in the brain. To date, clinical assays for the markers of amyloidosis in cerebrospinal fluid (CSF) have been developed, which, in conjunction with the brain MRI and PET studies, are used either to confirm the diagnosis based on obligate clinical criteria or to predict the risk of AD developing at the stage of mild cognitive impairment (MCI).

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Carbon-encapsulated iron nanoparticles (Fe@C) with a mean diameter of 15 nm have been synthesized using evaporation-condensation flow-levitation method by the direct iron-carbon gas-phase reaction at high temperatures. Further, Fe@C were stabilized with bovine serum albumin (BSA) coating, and their electromagnetic properties were evaluated to test their performance in magnetic hyperthermia therapy (MHT) through a specific absorption rate (SAR). Heat generation was observed at different Fe@C concentrations (1, 2.

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Article Synopsis
  • The increase in COVID-19 hospitalizations has put stress on healthcare systems and highlighted the need for accurate tests to predict disease outcomes.
  • Researchers used advanced mass spectrometry to analyze plasma samples from COVID-19 patients, finding clear differences between those who survived and those who did not.
  • By creating a machine learning model based on specific proteins and metabolites, they achieved a 92% accuracy in predicting patient survival at the time of hospitalization, offering new ways to assess and prioritize treatment for these patients.
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Early recognition of the risk of Alzheimer's disease (AD) onset is a global challenge that requires the development of reliable and affordable screening methods for wide-scale application. Proteomic studies of blood plasma are of particular relevance; however, the currently proposed differentiating markers are poorly consistent. The targeted quantitative multiple reaction monitoring (MRM) assay of the reported candidate biomarkers (CBs) can contribute to the creation of a consistent marker panel.

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In land-based recirculating aquaculture systems (RAS), the accumulation of dissolved organic matter (DOM) can have detrimental effects on water quality impacting the system performance, microbial community, and consequently fish health and welfare. Ozone is used in the RAS water treatment process to improve water quality and remove DOM. However, little is known about the molecular composition of DOM in RAS and its transformation when exposed to ozone.

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Mono- and polysaccharides are an essential part of every biological system. Identifying underivatized carbohydrates using mass spectrometry is still a challenge because carbohydrates have a low capacity for ionization. Normally, the intensities of protonated carbohydrates are relatively low, and in order to increase the corresponding peak height, researchers add Na, K, or NHto the solution.

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Dissociation induced by the accumulation of internal energy via collisions of ions with neutral molecules is one of the most important fragmentation techniques in mass spectrometry (MS), and the identification of small singly charged molecules is based mainly on the consideration of the fragmentation spectrum. Many research studies have been dedicated to the creation of databases of experimentally measured tandem mass spectrometry (MS/MS) spectra (such as MzCloud, Metlin, etc.) and developing software for predicting MS/MS fragments in silico from the molecular structure (such as MetFrag, CFM-ID, CSI:FingerID, etc.

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This review covers the results of the application of mass spectrometric (MS) techniques to study the diversity of beta-amyloid (Aβ) peptides in human samples. Since Aβ is an important hallmark of Alzheimer's disease (AD), which is a socially significant neurodegenerative disorder of the elderly worldwide, analysis of its endogenous variations is of particular importance for elucidating the pathogenesis of AD, predicting increased risks of the disease onset, and developing effective therapy. MS approaches have no alternative for the study of complex samples, including a wide variety of Aβ proteoforms, differing in length and modifications.

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Changes in bacterial physiology caused by the combined action of the magnetic force and microgravity were studied in grown using a specially developed device aboard the International Space Station. The morphology and metabolism of grown under spaceflight (SF) or combined spaceflight and magnetic force (SF + MF) conditions were compared with ground cultivated bacteria grown under standard (control) or magnetic force (MF) conditions. SF, SF + MF, and MF conditions provided the up-regulation of Ag43 auto-transporter and cell auto-aggregation.

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