Fields Of Biological Sciences Research Articles

Inspection of physiological flow in the presence of nanoparticles with MHD and slip effects

The line of inquiry of this abstract is peristaltic transport of nanofluids. The subject study focuses on alumina–water nanoparticles with different shape effects such as platelets, cylinders, bricks comprising slip effects and MHD. In this research, the outcome of wall properties, velocity and condition of thermal slip are testified. Moreover, substantial boundary conditions are applied on dimensionless control equations to obtain precise/exact solutions. The graphical depiction of thermal conductivity, temperature, velocity, and heat transfer phenomenon for flow parameters are also portrayed for different nanoparticle shapes. Brick nanoparticles have been shown to support the highest velocity curve. Another engrossing aspect of the peristaltic movement known as trapping is also examined. The investigation of MHD nanoparticles, with an endoscope in a non-uniform tube, has produced fruitful results. These results will be helpful in the field of biological sciences, especially in diagnosis and curing many diseases. Additionally, under-discussion model is also relevant for a drug supply process that offers several drug geometries and likewise relevant for the manufacturing scheme of a peristaltic micro-pump for the transport of nanofluids.

Advances in Medical Science and Molecular Biology-2020

The articles published in the special issue with developing field of biological sciences which has many important applications. This publication would not be possible without the tremendous contribution of authors and reviewing committee. Their contribution and efforts are greatly appreciated.

ТЕХНОЛОГИЯ МЕХАНИЗАЦИИ СОРТИРОВКИ ЛИЧИНОК GALLERIA MELLONELLA L.

In the modern world, insects are widely used for scientific and industrial purposes. For their cultivation in the laboratory, various plants have been developed, the main disadvantage of which is poor-quality sorting from garbage. Therefore, the question of cultivating and sorting the larvae of bee moth (Galleria mellonella L.) in laboratory conditions for the purpose of further use as a model object in various fields of biological sciences and medical purposes is relevant. The effect of the temperature gradient and exposure on the movement of G. mellonella larvae from the heated compartment of the plant was determined by their reproduction into the cold by the number of individuals that moved for 10, 15, and 20 minutes at 35, 40, 45, 50, 55 0С, visual counting. At 35 0С, regardless of the exposure time, the larvae remained on a honeycomb frame; at 40 ° C and 45 0С, on average, 11.5% and 31.8% of individuals, respectively, moved. The higher the temperature gradient, the faster the larvae moved into the cold compartment. More larvae passed from the lower frame to it than from the upper one. The difference at a temperature of 45 ° C averaged 2%, 50 0С - 18.7%, 55 0С - 0.4%. The optimum temperature gradient for sorting larvae is 50 ... 55 0С during an exposure of 15 ... 20 minutes, in this case more than 98% of the larvae were transferred to the cold compartment. The use of an infrared electric heating system will optimize the breeding process of G. mellonella larvae and ensure their high-quality sorting

High resolution imaging in bone tissue research-review

This review article focuses on imaging of bone tissue to understand skeletal health with regards to bone quality. Skeletal fragility fractures are due to bone diseases such as osteoporosis which result in low bone mass and bone mineral density (BMD) leading to high risk of fragility fractures. Recent advances in imaging and analysis technologies have highly benefitted the field of biological sciences. In particular, their application in skeletal health has been of significant importance in understanding bone mechanical behavior (structure and properties) at the tissue level. While synchrotron based microCT technique has remained the gold standard for non-destructive evaluation of structure in material and biological sciences, several lab based microCT systems have been developed to provide high resolution imaging of specimens with greater access, and ease of use in laboratory settings. Lab based microCT scanners are widely used in the bone field as a standard tool to evaluate three-dimensional (3D) morphologies of bone structure at image resolutions appropriate for bone samples from small animals to bone biopsy specimens from humans. Both synchrotron and standard lab based microCT systems provide high resolution imaging ex vivo for a small sized specimen. A few X-ray based systems are also commercially available for in vivo scanning at relatively low image resolutions. Synchrotron-based CT microscopy is being used for various ultra-high-resolution image analyses using complex 3D software. However, the synchrotron-based CT technology is in high demand, allows only limited numbers of specimens, expensive, requires complex additional instrumentation, and is not easily available to researchers as it requires access to a synchrotron source which is always limited. Therefore, desktop laboratory scanners (microXCT, Zeiss/Xradia, Scanco, SkyScan. etc.), mimicking the synchrotron based CT technology or image resolution, have been developed to solve the accessibility issues. These lab based scanners have helped both material science, and the bone field to investigate bone tissue morphologies at submicron mage resolutions. Considerable progress has been made in both in vivo and ex vivo imaging towards providing high resolution images of bone tissue. Both clinical and research imaging technologies will continue to improve and help understand osteoporosis and other related skeletal issues in order to develop targeted treatments for bone fragility. This review summarizes the high resolution imaging work in bone research.

Renal Cell Tumors: Uncovering the Biomarker Potential of ncRNAs.

Renal cell tumors (RCT) remain as one of the most common and lethal urological tumors worldwide. Discrimination between (1) benign and malignant disease, (2) indolent and aggressive tumors, and (3) patient responsiveness to a specific therapy is of major clinical importance, allowing for a more efficient patient management. Nonetheless, currently available tools provide limited information and novel strategies are needed. Over the years, a putative role of non-coding RNAs (ncRNAs) as disease biomarkers has gained relevance and is now one of the most prolific fields in biological sciences. Herein, we extensively sought the most significant reports on ncRNAs as potential RCTs’ diagnostic, prognostic, predictive, and monitoring biomarkers. We could conclude that ncRNAs, either alone or in combination with currently used clinical and pathological parameters, might represent key elements to improve patient management, potentiating the implementation of precision medicine. Nevertheless, most ncRNA biomarkers require large-scale validation studies, prior to clinical implementation.

The role of the anatomy museum in university education

Museums of anatomy occupy an important place among museums, being a source of empirical knowledge in the field of biological science. However, most museums of anatomy are organized on the basis of medical and pharmaceutical universities as an additional educational space for students to get the most complete picture of the human body structure and the changes that occur in tissues and organs when exposed to various negative environmental factors. Museums of anatomy created on the basis of pedagogical universities are capable of performing educational and research functions for a wide range of students. The paper describes the experience of using the funds of the Museum Human Anatomy in the educational process of students and schoolchildren at General Biology and Physiology Department of South Ural State Humanitarian Pedagogical University. The authors consider some activity areas of the museum related to the implementation of educational and research activities. The paper presents methodical recommendations aimed at improving schoolchildrens training for the practical part of the regional stage of the All-Russian Olympiad in Biology (grades 910), including an algorithm for performing practical tasks to determine and describe the humanorgans (bones of the skeleton), examples of Olympiad tasks with a matrix of answers.

Preface

The conference proceedings contain the selected papers presented at the 2019 International Conference on Advances in Biological Science and Technology (ICABST2019). The conference is organized by Asia-Pacific Association of Natural Science and Engineering and Maejo University (Thailand), which has been successfully held in Bangkok, Thailand during December 26-28, 2019.As an annual gathering, it provides an extensive platform for scientists, researchers and scholars to present their research results and newest findings in all fields of Biological Science and Technology, discuss the practical challenges encountered recommend better solutions for biotechnology. ICABST2019 includes keynote speeches, invited speeches, oral presentations and poster presentations. It provided unique opportunities for scientists to introduce novel ideas and studies in the following topics:▸ Molecular Biology▸ Biomechanics and Biomechanical Engineering▸ Biomedicine, Biopharmaceuticals and Pharmacology▸ Agricultural Science, Animal & Plant Science▸ Bioinformatics & Biocomputing▸ Application of biotechnology▸ Other Related TopicsList of Logos are available in this pdf.

STATISTICAL ANALYSIS WITH A BAYESIAN APPROACH TO THE HARDY-WEINBERG EQUILIBRIUM

In population genetics, it is very common to use statistical analysis to test the Hardy-Weinberg genetic equilibrium in a given population. The classical method of approaching this problem is done through the chi-square test that often leads to the verification of the equilibrium hypothesis. In the present work, a Bayesian analysis was developed involving hypothesis testing, estimation and credibility intervals to test this balance. Data on M, MN and N blood groups from the MNS system were used on samples from two populations, one from Brazilians and one from North Americans, obtained by Beiguelman (1977). The HardyWeinberg equilibrium adhesion chi-square test was performed, where the acceptance of the Hardy-Weinberg equilibrium hypothesis was confirmed. By Bayesian analysis, the rejection of the Hardy-Weinberg equilibrium hypothesis was confirmed, mainly by the Bayes factor. Our primary concern was to develop a Bayesian technique as an alternative to testing HardyWeinberg equilibrium using the MNSs blood sample data. The result obtained may encourage researchers mainly in the field of biological sciences to practice Bayesian Methodology, as an alternative in statistical tests.

Enhanced Insecticidal Activity of Thiamethoxam by Zinc Oxide Nanoparticles: A Novel Nanotechnology Approach for Pest Control.

Indiscriminate and unregulated application of pesticides produces deleterious effect in various groups of organisms including humans and the environment. To solve these issues, it has been reported that the residue-free green nanocomposite synergistically enhances the pesticide efficacy. In this study, ZnO nanoparticles (NPs) with a thiamethoxam nanocomposite were synthesized and we investigated their synergistic effect on 4th instar larvae of Spodoptera litura (Lepidoptera: Noctuidae). These larvae were allowed to feed on the composite of ZnO NPs with thiamethoxam (10–90 mg/L) and thiamethoxam-impregnated castor leaves. Observations showed an increased larval mortality (27% increased mortality), a malformation in pupae and adults, overdue emergence, and reduced fecundity and fertility. A significant dose-dependent variation in the biochemical parameters such as superoxide dismutase (SOD), glutathione-S-transferase (GST), and thiobarbituric acid-reactive substances (TBARS) in the treated larvae was also observed. A decline of 72.42 and 33.82% in SOD and GST activity ,respectively, was observed at higher concentration as compared to the control. On the contrary, it enhanced the TBARS level up to 56.7%. The synthesized nanocomposite was characterized by different biophysical techniques such as X-ray diffraction (average crystalline size 34 nm), scanning electron microscopy, transmission electron microscopy (average particle size 30 nm), and Fourier transform infrared spectroscopy (Zn–O stretching peaks at 432 cm–1 and 503 cm–1). The observation of the present study suggests that ZnO NPs pave the way for developing cost-effective, eco-friendly, and capable nanomaterial for its applications in the field of biological sciences.

Mathematical Analysis of Fractional Order Co-Infection TB and HIV Model

A mathematical model of HIV/AIDS and TB including its co-infections is formulated. We find the Equilibrium points and with the help of numerical simulation, we have analyze that the sub-models of TB, HIV/AIDS and its co-infections. The Caputo and Caputo Febrizo fractional derivative operator of order α ∈ (0, 1] is employed to obtain the system of fractional differential equations. Laplace Adomian Decomposition Method was successfully used for solving the different differential equations.Laplace transform is a perfect technique in various field of biological science,engineering,pure and applied mathematics. The latest technique Laplace Adomian Decomposition Method is employed on the developed fractional order model for the numerical solutions. Finally numerical simulations are also established to investigate the influence of the system parameter on the spread of disease and which show effect of fractional parameter α on our obtained solutions.

Tau hyperphosphorylation induced by the anesthetic agent ketamine/xylazine involved the calmodulin-dependent protein kinase II.

Tau hyperphosphorylation is a major neuropathological hallmark of many neurodegenerative disorders such as Alzheimer's disease. Several anesthetics have been shown previously to induced marked tau hyperphosphorylation. Although the ketamine/xylazine mixture is one of the most commonly used anesthetic agents in animal research and veterinary practice, the effect of this anesthetic agent on tau phosphorylation still remains to be determined. Here, we found that ketamine-/xylazine-induced a rapid and robust hyperphosphorylation of tau in a dose-dependent manner under normothermic and hypothermic conditions in mice. When used together, ketamine and xylazine exerted a synergistic action on tau phosphorylation most strongly not only on epitopes S396 and S262, but also on other residues (T181, and S202/T205). We observed that activation of the calmodulin-dependent protein kinase II (CaMKII) is the major upstream molecular event leading to tau hyperphosphorylation following ketamine/xylazine anesthesia in mice. Moreover, we observed that intracerebroventricular injection of the selective CaMKII inhibitor KN93 attenuated tau hyperphosphorylation. Since ketamine/xylazine also had a marked impact on other key molecular signaling pathways involving the MAP/microtubule affinity-regulating kinase (MARK), extracellular signal-regulated kinase (ERK), and glycogen synthase kinase-3 (GSK3), our study calls for high caution and careful monitoring when using this anesthetic agent in laboratory animal settings across all fields of biological sciences in order to avoid artifactual results.

Era of Genomic Medicine: A Narrative Review on CRISPR Technology as a Potential Therapeutic Tool for Human Diseases.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) provides acquired immunity in microorganisms against exogenous DNA that may hinder the survival of the organism. Pioneering work by Doudna and Charpentier in 2012 resulted in the creation of the CRISPR/Cas9 genome editing tool on the basis of this concept. The aim of this was to create a rapid, efficient, and versatile genome-editing tool to facilitate genetic manipulation. The mechanism relies on two components: the RNA guide which acts as a sentinel and a Cas protein complex which functions as a highly precise molecular knife. The guide RNA can be modified to match a DNA sequence of interest in the cell and accordingly be used to rectify mutations that may otherwise cause disease. Within a few years following the development of the CRISPR/Cas9 tool, its usage has become ubiquitous. Its influence extends into many fields of biological sciences from biotechnology and biochemistry to molecular biology and biomedical sciences. The following review aims at shedding some light on to the applications of the CRISPR/Cas9 tool in the field of biomedical sciences, particularly gene therapy. An insight with relation to a few of the many diseases that are being tackled with the aid of the CRISPR/Cas9 mechanism and the trends, successes, and challenges of this application as a gene therapy are discussed in this review.

Adaptive effects of gestational caloric restriction in the mitochondria of Wistar rats’ brain: A DOHaD approach

Developmental origins of health and disease (DOHaD) is a field of biological science dedicated to investigating how different interventions during development affect an individual’s life. Diet is an essential way to interact with the environment, and during pregnancy affects not only the mother but also can impact the next generations. One of these interventions is caloric restriction (CR), which has shown positive redox modulation in rats’ offspring when malnutrition is responsibly controlled. Considering that mitochondrial metabolism is determinant for redox status, we investigated parameters related to mitochondrial functionality and reactive species levels in offspring’s brain from rats delivered to pregnant caloric restricted dams. Therefore, pregnant rats were divided between control (ad libitum food) and CR (20% food restriction plus micronutrients supplementation) groups, and offspring’s brain was analyzed on post-natal days (PND) 0, 7, 21, and 60. Mitochondrial function, as well as superoxide content, were decreased in most brain areas on PND0 and went through adaptation, showing increased mass and membrane potential in adulthood. Concerning mitochondrial electron transport system (METS), the most affected area was the cerebellum, which was impaired at birth and activated at adulthood. In conclusion, our results show that gestational CR promotes adaptation from impaired mitochondrial parameters at birth, improving mitochondrial function when compared to control, without increasing superoxide generation, at adult age. More studies are necessary in order to support the use of CR as a clinical approach.

A Mathematical Analysis and Modelling of Hepatitis B Model with Non-Integer Time Fractional Derivative

In this paper, we develop time fractional Hepatitis B model and analyze qualitatively. The Caputo fractional derivative operator of order \(\alpha\in (0,1]\) is employed to obtain the system of fractional differential equations. The stability and sensitivity analysis of fractional order model has been made and verify the non-negative unique solution. LADM was successfully used for solving different problems. Laplace transform method is a useful technique in different field of biological science, engineering and applied mathematics. The latest technique (LADM) is employed on the developed fractional order model for numerical solutions. Finally, numerical simulations are also established to investigate the influence of the system parameter on the spread of the disease and which show the effect of fractional parameter \(\alpha\) on our obtained solutions.

Proteomics in the World of Induced Pluripotent Stem Cells.

Omics approaches have significantly impacted knowledge about molecular signaling pathways driving cell function. Induced pluripotent stem cells (iPSC) have revolutionized the field of biological sciences and proteomics and, in particular, has been instrumental in identifying key elements operating during the maintenance of the pluripotent state and the differentiation process to the diverse cell types that form organisms. This review covers the evolution of conceptual and methodological strategies in proteomics; briefly describes the generation of iPSC from a historical perspective, the state-of-the-art of iPSC-based proteomics; and compares data on the proteome and transcriptome of iPSC to that of embryonic stem cells (ESC). Finally, proteomics of healthy and diseased cells and organoids differentiated from iPSC are analyzed.

Research Output of Biological Science during 1901 1945 A Scientometric Analysis

A scientometric evaluation of India’s scientific productions in the field of biological science during 1901-1947 has been performed. The growth rate, authorship pattern, collaboration trend, and prolific researchers (male and female) of biological science literature is investigated. From the result it is found that the mean relative growth rate and duplication time is 0.615 and 1.007 respectively for the period 1901-1945. The calculated results follow the spirit of the ‘Price Law’ i.e. the coefficient of determination of the exponential plot is greater than that of the linear plot. About 75 per cent papers are single-authored and the degree of collaboration is 0.249. The Collaborative author index (CAI) for single author shows decreasing trend while for two author and more than two author shows increasing trend. The data set derived from this study follows Lotka’s law of author productivity. The productivity of ten most productive researchers together contributed 15 per cent publication share. It is also found that the productivity of women researchers together contributed 0.62 per cent publication share in biological science research.

The combination of swimming and curcumin consumption may improve spatial memory recovery after binge ethanol drinking

Helping the return of people with social disorders, including ethanol consumption, are important research topics in the field of biological sciences, and there are many uncertainties about the efficacy of drug interventions and exercise training. The aim of this study was to investigate the effects short-term combination of curcumin and swimming on the improvement of spatial memory. Male Wistar rats (200–250 g) were randomly assigned into ethanol or dextrose groups. After 4 days of gavage, and withdrawn of consumption, they were affected by swimming intervention or curcumin supplementation within 2 weeks. Spatial memory was assessed in Morris Water Maze (MWM) apparatus by a single training session of eight trials. Furthermore, levels of BDNF were measured in hippocampal tissue by doing real time PCR. The results showed that binge ethanol drinking had no significant effect on the traveled distance [F(1,14) = 0.024; P > .05] and escape latency [F(1,14) = 0.648; P > .05] of reaching the platform. In the probe test, both the percentage of swimming time [t(14) = −4.621; P < .001] and distance [t(14) = −4.989; P < .001] in the target quadrant was significantly lower in the ethanol group than the dextrose group. On the other hand in reviewing the effect of curcumin and swimming exercise on learning and spatial memory, The percentage of swimming time was significantly higher in the swim+curcumin [P < .01], training [P < .05] and curcumin [P < .05] subgroups then the control subgroup. The percentage of distance traveled in the swim+curcumin subgroup [P < .001] and curcumin subgroup [P < .05] was significantly higher than the control subgroup. In addition, in the group of binge ethanol drinking, the percentage of swimming time and distance traveled in the target quadrant in the swim+curcumin subgroup was significantly higher than the control subgroup [P < .001]. There was a positive correlation between BDNF gene expression and the percentage of swimming time [P < .01] and the distance traveled in the target quadrant [P < .001] was observed. In conclusion, Binge ethanol drinking causes spatial memory deficiency by reduction of BDNF, and the combination of curcumin and swimming training improves impaired spatial memory after binge ethanol drinking.

Worldwide co-occurrence analysis of 17 species of the genus Brachypodium using data mining.

The co-occurrence of plant species is a fundamental aspect of plant ecology that contributes to understanding ecological processes, including the establishment of ecological communities and its applications in biological conservation. A priori algorithms can be used to measure the co-occurrence of species in a spatial distribution given by coordinates. We used 17 species of the genus Brachypodium, downloaded from the Global Biodiversity Information Facility data repository or obtained from bibliographical sources, to test an algorithm with the spatial points process technique used by Silva et al. (2016), generating association rules for co-occurrence analysis. Brachypodium spp. has emerged as an effective model for monocot species, growing in different environments, latitudes, and elevations; thereby, representing a wide range of biotic and abiotic conditions that may be associated with adaptive natural genetic variation. We created seven datasets of two, three, four, six, seven, 15, and 17 species in order to test the algorithm with four different distances (1, 5, 10, and 20 km). Several measurements (support, confidence, lift, Chi-square, and p-value) were used to evaluate the quality of the results generated by the algorithm. No negative association rules were created in the datasets, while 95 positive co-occurrences rules were found for datasets with six, seven, 15, and 17 species. Using 20 km in the dataset with 17 species, we found 16 positive co-occurrences involving five species, suggesting that these species are coexisting. These findings are corroborated by the results obtained in the dataset with 15 species, where two species with broad range distributions present in the previous dataset are eliminated, obtaining seven positive co-occurrences. We found that B. sylvaticum has co-occurrence relations with several species, such as B. pinnatum, B. rupestre, B. retusum, and B. phoenicoides, due to its wide distribution in Europe, Asia, and north of Africa. We demonstrate the utility of the algorithm implemented for the analysis of co-occurrence of 17 species of the genus Brachypodium, agreeing with distributions existing in nature. Data mining has been applied in the field of biological sciences, where a great amount of complex and noisy data of unseen proportion has been generated in recent years. Particularly, ecological data analysis represents an opportunity to explore and comprehend biological systems with data mining and bioinformatics tools.

An Overview of the CRISPR-Based Genomic- and Epigenome-Editing System: Function, Applications, and Challenges.

Developing a new strategy for an efficient targeted genome editing has always been a great perspective in biology. Although different approaches have been suggested in the last three decades, each one is confronting with limitations. CRISPR-Cas complex is a bacterial-derived system which made a breakthrough in the area of genome editing. This paper presents a brief history of CRISPR genome editing and discusses thoroughly how it works in bacteria and mammalians. At the end, some applications and challenges of this growing research area are also reviewed. In addition to moving the boundaries of genetics, CRISPR-Cas can also provide the ground for fundamental advances in other fields of biological sciences.

Motifs in Big Networks: Methods and Applications

Motifs have been recognized as basic network blocks and are found to be quite powerful in modeling certain patterns. Generally speaking, local characteristics of big networks could be reflected in network motifs. Over the years, motifs have attracted a lot of attention from researchers. However, most current literature reviews on motifs generally focus on the field of biological science. In contrast, here we try to present a comprehensive survey on motifs in the context of big networks. We introduce the definition of motifs and other related concepts. Big networks with motif-based structures are analyzed. Specifically, we respectively analyze four kinds of networks, including biological networks, social networks, academic networks, and infrastructure networks. We then examine methods for motif discovery, motif counting, and motif clustering. The applications of motifs in different areas have also been reviewed. Finally, some challenges and open issues in this direction are discussed.