Biomolecular Level Research Articles

Assessment and Monitoring of the Wound Micro-Environment in Chronic Wounds Using Standardized Wound Swabbing for Individualized Diagnostics and Targeted Interventions.

Background/Objectives: Patient-specific diagnostic and therapeutic approaches are important in the care of people with chronic wounds. The heterogeneity of underlying disease profiles and the diversity of the wound micro-environment make generalized approaches difficult. While high-throughput molecular diagnostic methods are increasingly widespread and available, the analysis of objective biomolecular disease patterns has not found its way into everyday wound management. The aim of this study is to evaluate the use of wound swab samples for the analysis of biomarkers and disease patterns in people with chronic wounds. Methods: A sample cohort from the multicenter "Wound-BIOME" project was analyzed. The project aims to comprehensively investigate the local micro-environment of chronic wounds of various entities, healing tendencies and regeneration stages at the biomolecular level. A sample collection and handling protocol suitable for everyday use was tested and evaluated regarding feasibility for multiplex immunoassay, proteomics, small RNA sequencing (miRNA) and metagenome analyses (microbiomics). Results: It could be shown that standard wound swabs are well-suited for the analysis of the complex wound micro-environment using various high-throughput methods. Despite the sample heterogeneity, the quality was adequate to analyze biomolecular patterns. Conclusions: Initial analyses of protein signatures, microbial wound communities and miRNA patterns show promising results for future individualized diagnostics and targeted interventions.

Intrinsic Disorder and Other Malleable Arsenals of Evolved Protein Multifunctionality.

Microscopic evolution at the functional biomolecular level is an ongoing process. Leveraging functional and high-throughput assays, along with computational data mining, has led to a remarkable expansion of our understanding of multifunctional protein (and gene) families over the past few decades. Various molecular and intermolecular mechanisms are now known that collectively meet the cumulative multifunctional demands in higher organisms along an evolutionary path. This multitasking ability is attributed to a certain degree of intrinsic or adapted flexibility at the structure-function level. Evolutionary diversification of structure-function relationships in proteins highlights the functional importance of intrinsically disordered proteins/regions (IDPs/IDRs) which are highly dynamic biological soft matter. Multifunctionality is favorably supported by the fluid-like shapes of IDPs/IDRs, enabling them to undergo disorder-to-order transitions upon binding to different molecular partners. Other new malleable members of the protein superfamily, such as those involved in fold-switching, also undergo structural transitions. This new insight diverges from all traditional notions of functional singularity in enzyme classes and emphasizes a far more complex, multi-layered diversification of protein functionality. However, a thorough review in this line, focusing on flexibility and function-driven structural transitions related to evolved multifunctionality in proteins, is currently missing. This review attempts to address this gap while broadening the scope of multifunctionality beyond single protein sequences. It argues that protein intrinsic disorder is likely the most striking mechanism for expressing multifunctionality in proteins. A phenomenological analogy has also been drawn to illustrate the increasingly complex nature of modern digital life, driven by the need for multitasking, particularly involving media.

A Comprehensive Review of The Molecular Dynamic Study Of Chalcones, Coumarins and Chromones as Selective MAO‐B Inhibitors [2015‐Till Date

AbstractMolecular dynamics (MD) simulation is an in silico method used in the biomolecular level of research to study how the protein interacts with the target with time. It provides a detailed information of the protein dynamics and ligand structure with the crucial amino acid interactions. Monoamine oxidase B (MAO−B) is a crucial isoenzyme responsible for the catalyses of oxidative deamination of various biogenic amines in the brain and peripheral tissues. The selective inhibitors of MAO−B are considered as the management of symptoms of neurodegenerative disorders like Alzheimer's disease(AD) and Parkinson disease(PD). Recently the structural scaffolds containing chalcones, coumarins and chromones derived candidates shown potent, selective, competitive and reversible type of MAO−B inhibitors. The structural similarities between the above scaffolds can produce almost similar type of interactions in the inhibitor binding cavity of MAO−B. Numerous molecular simulation reports were supported by the above mentioned fact. The current review focus on the last ten year molecular dynamics report of chalcones, coumarins and chromones towards MAO−B inhibition. The review also focuses on the software details used in the MD dynamics simulation and the structural requirement from each class of compound for the recognition of MAO−B inhibitory activity.

Raising the Neanderthal (molecules) from the dead: a proposal for in vivo resurrection of Neanderthal haemoglobin for the investigation of biochemical adaptations for cold tolerance

Since the first discoveries of Neanderthal fossils, their derived characteristics, such as increased robusticity, have engaged researchers. Adaptation to cold environments has been hypothesised to explain such traits and this hypothesis has driven the majority of discourse. This proposal seeks to examine this hypothesis and locate evidence of Neanderthals being physiologically adapted to cold at the biomolecular level. Haemoglobin is a biomolecule that has been previously demonstrated to adapt to cold in some species, driven by the inhibition of the protein’s function by low temperatures. Neanderthal haemoglobin is extinct; however, using pre-sequenced genomic data, I propose to resurrect Neanderthal haemoglobin so I can examine the consequences of lowered temperature on its function. This project could potentially detect signs of cold adaptation in the Neanderthal globin genes and provide empirical evidence for the cold adaptation hypothesis.

The Potential of Selenium-Based Therapies for Ocular Oxidative Stress.

Oxidative stress plays a critical role in the development of chronic ocular conditions including cataracts, age-related macular degeneration, and diabetic retinopathy. There is a need to explore the potential of topical antioxidants to slow the progression of those conditions by mediating oxidative stress and maintaining ocular health. Selenium has attracted considerable attention because it is a component of selenoproteins and antioxidant enzymes. The application of selenium to a patient can increase selenoprotein expression, counteracting the effect of reactive oxygen species by increasing the presence of antioxidant enzymes, and thus slowing the progression of chronic ocular disorders. Oxidative stress effects at the biomolecular level for prevalent ocular conditions are described in this review along with some of the known defensive mechanisms, with a focus on selenoproteins. The importance of selenium in the eye is described, along with a discussion of selenium studies and uses. Selenium's antioxidant and anti-inflammatory qualities may prevent or delay eye diseases. Recent breakthroughs in drug delivery methods and nanotechnology for selenium-based ocular medication delivery are enumerated. Different types of selenium may be employed in formulations aimed at managing ocular oxidative stress conditions.

Causal Effects of COVID-19 on the Risk of Thrombosis: A Two-Sample Mendel Randomization Study.

Coronavirus disease 2019 (COVID-19) and thrombosis are linked, but the biomolecular mechanism is unclear. We aimed to investigate the causal relationship between COVID-19 and thrombotic biomarkers. We used two-sample Mendelian randomization (MR) to assess the effect of COVID-19 on 20 thrombotic biomarkers. We estimated causality using inverse variance weighting with multiplicative random effect, and performed sensitivity analysis using weighted median, MR-Egger regression and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) methods. All the results were examined by false discovery rate (FDR) with the Benjamin and Hochberg method for this correction to minimize false positives. We used R language for the analysis. All COVID-19 classes showed lower levels of tissue factor pathway inhibitor (TFPI) and interleukin-1 receptor type 1 (IL-1R1). COVID-19 significantly reduced TFPI (odds ratio [OR] = 0.639, 95% confidence interval [CI]: 0.435-0.938) and IL-1R1 (OR = 0.603, 95% CI = 0.417-0.872), nearly doubling the odds. We also found that COVID-19 lowered multiple coagulation factor deficiency protein 2 and increased C-C motif chemokine 3. Hospitalized COVID-19 cases had less plasminogen activator, tissue type (tPA) and P-selectin glycoprotein ligand 1 (PSGL-1), while severe cases had higher mean platelet volume (MPV) and lower platelet count. These changes in TFPI, tPA, IL-1R1, MPV, and platelet count suggested a higher risk of thrombosis. Decreased PSGL-1 indicated a lower risk of thrombosis. TFPI, IL-1R, and seven other indicators provide causal clues of the pathogenesis of COVID-19 and thrombosis. This study demonstrated that COVID-19 causally influences thrombosis at the biomolecular level.

Sulfur-tetrazine as highly efficient visible-light activatable photo-trigger for designing photoactivatable fluorescence biomolecules.

Light-activated fluorescence represents a potent tool for investigating subcellular structures and dynamics, offering enhanced control over the temporal and spatial aspects of the fluorescence signal. While alkyl-substituted tetrazine has previously been reported as a photo-trigger for various fluorophore scaffolds, its limited photochemical efficiency and high activation energy have constrained its widespread application at the biomolecular level. In this study, we demonstrate that a single sulfur atom substitution of tetrazine greatly enhances the photochemical properties of tetrazine conjugates and significantly improves their photocleavage efficiency. Notably, the resulting sulfur-tetrazine can be activated using a lower-energy light source, thus transforming it into a valuable visible-light photo-trigger. To introduce this photo-trigger into biological systems, we have developed a series of visible-light activatable small molecular dyes, along with a photoactivatable noncanonical amino acid containing sulfur-tetrazine. Using the Genetic Code Expansion technology, this novel amino acid is genetically incorporated into fluorescent protein molecules, serving as a phototrigger to create an innovative photoactivatable protein. These advancements in tetrazine-scaffold photo-trigger design open up new avenues for generating photoactivatable biomolecules, promising to greatly facilitate the exploration of biological functions and structures.

Probing the Onset of the Bacterial Membrane Photodamage in Time using a Raman Optical Tweezer

Laser-induced photo damage of the optically confined microorganism is known to affect the bacterial membrane. We record the Raman spectra of a live, optically trapped Bacillus subtilis at different trapping time lapses to determine the changes in the bacterial membrane, which in turn impacts the flagellar rotation. A 1064 nm tightly focused laser traps a single de-flagellated bacterium and Surface Enhanced Raman Scattering (SERS) signals are recorded with silver nanoparticles (AgNPs) inserted into bacteria via the internal colloid method. The internal colloid method, albeit resulting in a modest signal increase, is employed in preference here to prevent undesirable cell aggregation or instabilities in trapping or compromised cell integrity resulting from the conventional nanoparticle dressing of the cell membrane. The second derivative of the Raman spectrum reveals subtle changes in the molecular structure of the bacterial membrane manifested by shifts in the phospholipid peak (1462 cm−1), amide III peak (1245 cm−1) and cytosine peak (792 cm−1), with increased trapping duration. This is followed by a Principal Component Analysis (PCA) to examine the changes occurring in the Raman spectral range (600 cm−1–1800 cm−1). By comparing the spectral shifts at specific time lapses from the moment of trapping, with the diminishing frequency of rotation of the body and flagella of the trapped flagellated counterpart bacterium at these same time lapses, we establish a direct correlation between the changes in membrane structure and compromised rotation of the bacterium during photodamage. Our results confirm that the subtle changes that occur at the biomolecular level in a cell when subjected to photodamage can be identified with good sensitivity, and moreover, that the changes occurring at the biomembrane have a role to play in reduced rotation of the trapped bacterium during exposure to the laser.

Depression development in patients with OA, and its impact on treatment outcome - a literature review

Introduction and aim of the study: Osteoarthritis (OA) and depression are leading causes of disease burden worldwide and important public health problems. A number of recent studies reported depression as a comorbidity of OA and its impact on reduced quality of life and worse treatment outcome of OA patients. The clinical management strategies of those patients still haven’t been developed, which is a challenge of future research on this topic. The aim of this review is to shed a light on important aspects of depression relationship with OA including its prevalence among OA patients and its influence on course and treatment of OA with a purpose of increasing awareness of this problem among physicians which may subsequently lead to a better overall medical care of patients with OA and depression. Methods and materials: This literature review is based on articles published in the PubMed database, GoogleScholar, ScienceDirect, and available medical textbooks. Conclusions: Recent literature reports a higher prevalence of depression among OA patients when compared to general population and its impact on osteoarthritis course, both on psychological and biomolecular level. Future research may lead to a better understanding of molecular background of depression and OA interrelation and to more complex and individualized management strategies which may result in a better outcome of treatment and improved life quality of osteoarthritis patients. Therefore, in order to optimize management of OA patients, physicians should pay more attention to depression and use multidisciplinary approach including assessment of mental health status to develop a more effective strategies of medical care in osteoarthritis.

Investigation of codon alternation patterns in two neurodegenerative diseases through numerical representation and codon classification

Several evidences claim similarities between two neuro-degenerative diseases viz.Parkinson's disease and Glaucoma. But proper pathogenetic factors specially in bio-molecular level are still not cleared. Hence, the prime objectives of the study here is to investigate evolutionary relationships among the genes involved in the diseases and to understand the pattern of mutations responsible in the two disease pathogenesis. Reported research work established that the strengths of nucleotides (according to number of hydrogen bonds they have) have a deep impact on protein formation. Moreover, depending upon the position the virulence of mutation differs. Effective mutation analysis can help to predict the fate of the diseased individual which can be validated later by in-vitro experiments. In this present study, PARKIN, PINK1, and DJ1 genes are taken for Parkinson's disease and CYP1B1 and MYOC for Glaucoma. Importance has been given to the nucleotides existing at first and second positions of a codon. We followed Rumer's classification of doublets based on the strength of nucleotides and Duplij’s numeric interpretation of the strength of each nucleotide as “determinative degree” to classify the 64 codons and corresponding amino acids into three major classes viz. strong, transitional, and weak. The determinative degrees of all 64 codons and corresponding 20 amino acids are calculated to define their strengths. The complete analysis is carried out based on this classification scheme. Further we proposed an alignment-free method SSADDA (Sequence Similarity Analysis using Determinative Degree of Amino acid) based on determinative degree of amino acid and applied to the wild type amino acid sequences to measure proximity among themselves. The methodology gives us a more microscopic view of the existing genetic code table.

A Detailed Review of Various Herbal Treatment Options for Potentially Curing or Ameliorating Pain in Diabetic Neuropathy

Abstract: Diabetes mellitus (DM) is a group of metabolic disorders associated with hyperglycemia due to deficient insulin secretion, insulin action, or both. During 2008 out of 36 million deaths due to non-communicable diseases, 1.3 million deaths alone were causative of DM, suggesting it to be a significant public health problem, reaching epidemic proportions globally. Diabetic Neuropathy is na common complication of DM. Pathophysiology of DN involves the interplay of metabolic and vascular factors, with the principal factor being hyperglycemia. Since DN is a prevalent, disabling condition associated with nerve injury, efficient treatments include glycaemic control and pain management. The ancient scriptures like Charak Samhita and contemporary pharmacology have corroborated the vast medicinal potential of herbal plants for achieving a more holistic treatment for several ailments. One of the primary objectives of the current review was to provide collective data on the available pharmacological evidence of selective herbal plants for future clinical translation. Besides, the herbal extracts used for the studies need to be standardized as per the standard protocols essential for understanding the intricate effect of specific phytoconstituent on the biomolecular level and for the clinical dose fixation for promoting the reproducibility of results

Biochemiluminescence sensing of protein oxidation by reactive oxygen species generated by pulsed electric field

Pulsed electric field (PEF) technology is an important emerging modality for both biomedicine and the food industry, yet the mechanisms of action of a PEF on a biomolecular level remain unclear. In order to gain a better understanding of this, a sensing platform was developed to enable sensitive detection of oxidative processes induced by the PEF. It was found that the application of PEF in phosphate buffer leads to the electrogeneration of reactive oxygen species (ROS) which in turn triggers intrinsic chemiluminescence. Furthermore, the presence of the bovine serum albumin (BSA) was found to increase the luminescence signal, which was attributed to biochemiluminescence due to the reactions of BSA with the electrogenerated ROS. A carbonyl determination assay was then used to confirm that the BSA molecules had indeed been oxidatively modified. We proposed a scheme describing the reactions leading from charge transfer at the anode/electrolyte interface to the actual photon emission, helping to elucidate the mechanisms of action of PEF on proteins. The results may to open up new avenues for the application of PEF technology.

DecodeSTORM: A user-friendly ImageJ plug-in for quantitative data analysis in single-molecule localization microscopy

Quantitative data analysis in single-molecule localization microscopy (SMLM) is crucial for studying cellular functions at the biomolecular level. In the past decade, several quantitative methods were developed for analyzing SMLM data; however, imaging artifacts in SMLM experiments reduce the accuracy of these methods, and these methods were seldom designed as user-friendly tools. Researchers are now trying to overcome these difficulties by developing easy-to-use SMLM data analysis software for certain image analysis tasks. But, this kind of software did not pay sufficient attention to the impact of imaging artifacts on the analysis accuracy, and usually contained only one type of analysis task. Therefore, users are still facing difficulties when they want to have the combined use of different types of analysis methods according to the characteristics of their data and their own needs. In this paper, we report an ImageJ plug-in called DecodeSTORM, which not only has a simple GUI for human–computer interaction, but also combines artifact correction with several quantitative analysis methods. DecodeSTORM includes format conversion, channel registration, artifact correction (drift correction and localization filtering), quantitative analysis (segmentation and clustering, spatial distribution statistics and colocalization) and visualization. Importantly, these data analysis methods can be combined freely, thus improving the accuracy of quantitative analysis and allowing users to have an optimal combination of methods. We believe DecodeSTORM is a user-friendly and powerful ImageJ plug-in, which provides an easy and accurate data analysis tool for adventurous biologists who are looking for new imaging tools for studying important questions in cell biology.

Oxidative stress, inflammation and hormesis: The role of dietary and lifestyle modifications on aging.

Oxidative stress (OS) is primarily caused by the formation of free radicals and reactive oxygen species; it is considered as one of the prominent factors in slowing down and degrading cellular machinery of an individual, and it eventually leads to aging and age-related diseases by its continuous higher state. The relation between molecular damage and OS should be particularized to understand the beginning of destruction at the cellular levels, extending outwards to affect tissues, organs, and ultimately to the organism. Several OS biomarkers, which are established at the biomolecular level, are useful in investigating the disease susceptibility during aging. Slowing down the aging process is a matter of reducing the rate of oxidative damage to the cellular machinery over time. The breakdown of homeostasis, the mild overcompensation, the reestablishment of homeostasis, and the adaptive nature of the process are the essential features of hormesis, which incorporates several factors, including calorie restriction, nutrition and lifestyle modifications that play an important role in reducing the OS. In the current review, along with the concept and theories of aging (with emphasis on free radical theory), various manifestations of OS with special attention on mitochondrial dysfunction and age-related diseases have been discussed. To alleviate the OS, hormetic approaches including caloric restriction, exercise, and nutrition have also been discussed.

In Vivo Longitudinal Monitoring of Disease Progression in Inflammatory Arthritis Animal Models Using Raman Spectroscopy.

Current techniques for monitoring disease progression and testing drug efficacy in animal models of inflammatory arthritis are either destructive, time-consuming, subjective, or require ionizing radiation. To accommodate this, we have developed a non-invasive and label-free optical system based on Raman spectroscopy for monitoring tissue alterations in rodent models of arthritis at the biomolecular level. To test different sampling geometries, the system was designed to collect both transmission and reflection mode spectra. Mice with collagen antibody-induced arthritis and controls were subject to in vivo Raman spectroscopy at the tibiotarsal joint every 3 days for 14 days. Raman-derived measures of bone content correlated well with micro-computed tomography bone mineral densities. This allowed for time-resolved quantitation of bone densities, which indicated gradual bone erosion in mice with arthritis. Inflammatory pannus formation, bone erosion, and bone marrow inflammation were confirmed by histological analysis. In addition, using library-based spectral decomposition, we quantified the progression of bone and soft tissue components. In general, the tissue components followed significantly different tendencies in mice developing arthritis compared to the control group in line with the histological analysis. In total, this demonstrates Raman spectroscopy as a versatile technique for monitoring alterations to both mineralized and soft tissues simultaneously in rodent models of musculoskeletal disorders. Furthermore, the technique presented herein allows for objective repeated within-animal measurements potentially refining and reducing the use of animals in research while improving the development of novel antiarthritic therapeutics.

Proteins and Our Past: An Exploration of Human Bone Protein from the Eighteenth-Century Fortress of Louisbourg, Nova Scotia, and Its Potential Applications in Bioarchaeological Research

Bioarchaeologists can further investigate human bone metabolism at the biomolecular level by incorporating biochemical methods into their research. Recently, there has been a focus on osteocalcin, an abundant non-collagenous bone protein, because of its clinically identified relationship with biological factors (i.e., age and sex), activity, and pathological conditions (i.e., disease). For this study, osteocalcin was extracted and quantified from the femora of 27 individuals from the Fortress of Louisbourg (1713–1758) skeletal collection to explore if the clinical relationship between osteocalcin and sex, age, activity, and pathological conditions can also be established in archaeological bone. However, no significant relationships between osteocalcin concentrations and biological factors (i.e., age and sex), activity, or pathological conditions were identified. This is the first study to quantify osteocalcin from archaeological human skeletal remains from a Canadian context and provides another example of how this method may be used to study stress in bioarchaeological populations.

Benchmarking biomolecular force field-based Zn2+ for mono- and bimetallic ligand binding sites.

Zn2+ is one of the most versatile biologically available metal ions, but accurate modeling of Zn2+ -containing metalloproteins at the biomolecular force field level can be challenging. Since most Zn2+ models are parameterized in bulk solvent, in-depth knowledge about their performance in a protein environment is limited. Thus, we systematically investigate here the behavior of non-polarizable Zn2+ models for their ability to reproduce experimentally determined metal coordination and ligand binding in metalloproteins. The benchmarking is performed in challenging environments, including mono- (carbonic anhydrase II) and bimetallic (metallo-β-lactamase VIM-2) ligand binding sites. We identify key differences in the performance between the Zn2+ models with regard to the preferred ligating atoms (charged/non-charged), attraction of water molecules, and the preferred coordination geometry. Based on these results, we suggest suitable simulation conditions for varying Zn2+ site geometries that could guide the further development of biomolecular Zn2+ models.

Influence of the roughness of dental implants obtained by additive manufacturing on osteoblastic adhesion and proliferation: A systematic review

ObjectiveCritically analyzed the existing literature to answer the question "What is the influence of roughness of surfaces for dental implants obtained by additive manufacturing compared to machined on osteoblastic cell adhesion and proliferation?" DesignThis systematic review followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and was registered in the Open Science Framework. The personalized search strategy was applied to Embase, Pub Med, Scopus, and Science Direct databases and Google Scholar and ProQuest grey literature. The selection process was carried out in two stages independently by two reviewers according to the eligibility criteria. The risk of bias was analyzed using a checklist of important parameters to be considered. ResultsWhen applying the search strategy on databases 223 articles were found, after removing the duplicates, 171 were analyzed by title and abstract of which 25 were selected for full reading, of these, 6 met the eligibility criteria. 2 studies were included from the reference list totaling 8 articles included in this systematic review and none were included from the Grey Literature. 7 had a low risk of bias and 1 moderate. Conclusions1) Roughness is a property that must be analyzed and correlated with the chemical composition, intrinsic to the alloy and resulting from the surface treatment; morphology of topographic peaks and valleys; printing technique and its parameters; 2) Need for more studies on the biomolecular level to elucidate the mechanism by which the roughness and the morphology of topographical peaks and valleys descriptive of roughness influence osteoblastic adhesion and proliferation.

N-Hydroxy-N-Propargylamide Derivatives of Ferulic Acid: Inhibitors of Cholinesterases and Monoamine Oxidases.

Alzheimer's disease (AD) is a complex disorder characterized by impaired neurotransmission in cholinergic and monoaminergic neurons, which, in combination with the accumulation of misfolded proteins and increased oxidative stress, leads to the typical features of the disease at the biomolecular level. Given the limited therapeutic success of approved drugs, it is imperative to explore rationally supported therapeutic approaches to combat this disease. The search for novel scaffolds that bind to different receptors and inhibit AD disease-related enzymes could lead to new therapeutic solutions. Here, we describe N-hydroxy-N-propargylamide hybrids 1-6, which were designed by combining the structures of Contilisant-a multifunctional anti-AD ligand-and ferulic acid, a natural antioxidant with various other biological activities. Among the synthesized compounds, we identified compound 4 as a micromolar inhibitor of hAChE with a potent radical-scavenging capacity comparable to resveratrol and Trolox. In addition, compound 4 chelated copper(II) ions associated with amyloid β pathology, mitochondrial dysfunction, and oxidative stress. The promising in vitro activity combined with favorable drug-like properties and predicted blood-brain barrier permeability make compound 4 a multifunctional ligand that merits further studies at the biochemical and cellular levels.

HEMATOLOGICAL STATUS OF SIMMENTAL BREDINSKY MEAT TYPE HEIFERS WITH DIFFERENT ALLELIC SET OF CAPN1 AND TG5 GENES

The work carried out by geneticists in recent years connected with whole genome genotyping of cattle by SNP polymorphism with identification of associations with qualitative and quantitative parameters of productivity is used in innovative breeding programs. However, biochemical mechanisms of such determinations are not fully disclosed. Expression of polymorphic genes, which leads to a change of protein properties, is associated with biochemical processes which occur in the animal body at biomolecular level, which can manifest itself in neurohumoral and metabolic processes, which can possibly be traced by analyzing blood parameters. In this regard, blood was taken from the heifers of Bredinsky meat type of Simmental breed in Chelyabinsk region in order to isolate DNA to determine polymorphism of CAPN1 and TG5 genes associated with qualitative parameters of meat productivity and determine hematological parameters. The analysis of the genotyped population revealed a certain alignment of polymorphic state of the genes of the animals of the studied sample. The distribution of hematological parameters of heifers according to the genotypes of the studied genes did not show a clear significant difference, but outlined some tendencies. According to morphological composition of the blood, these tendencies were less expressed. However, the distribution of blood biochemical parameters by genotypes of CAPN1 gene showed superiority of GG genotype by blood glucose by 0.51 mmol / l, which is 21.9%, the content of ALT transamination enzymes by 11.9%, cholesterol by 18.8% . Difference tendencies were noted for genotypes of TG5 gene by creatinine (12.0%) and amylase (9.5%) content. The results of this study may be useful in terms of accumulating new research data and contribute to a better understanding of molecular mechanisms of relations among blood parameters, genes, and biochemical processes in animals.