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76 articles for “Genetic Mechanisms”
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Zebra Fish Embryo Assay: A Wonderful Tool for Ecotoxicological Risk Assessment with Special Reference to Heavy Metals - An Overview
Abstract: In recent years, environmental pollution has become a pressing concern, prompting extensive research in aquatic ecotoxicology. With environmental degradation getting worse day by day, ecotoxicology research has gained a lot of attention. This area of study examines how biological communities in aquatic environments are affected by environmental contaminants. To unravel the toxicological mechanisms of these exogenous compounds, scientists turn to biological models. Several aquatic species, including zebrafish, toads, and big …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 56–70 Read article
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Advancements in Plant Molecular Biology and Genetics: Insights into Genetic Engineering, Genomics, and Crop Improvement
Abstract: This comprehensive review explores the rapidly advancing fields of plant molecular biology and genetics, offering a thorough examination of contemporary research and innovative methodologies that contribute to a deeper understanding of plant development, improved crop productivity, and the mitigation of environmental challenges. Recent breakthroughs in genetic engineering, genomics, and transcriptomics are thoroughly analyzed to provide valuable insights into their practical applications for sustainable agriculture. The integration of cutting-edge tools and …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 25–27 Read article
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Understanding Leukemogenesis: Challenges and Advancements in Diagnostic Approaches
Abstract: Leukaemia development, or leukemogenesis, is a multifactorial process driven by a complex interplay of environmental, genetic, and epigenetic factors. Despite substantial advancements in technology and medicine, which have enhanced our understanding of the contributing factors, early and accurate diagnosis remains a major challenge due to the overlapping clinical features shared by the various leukaemia subtypes. This study explores the molecular and cellular mechanisms underlying leukemogenesis, while also addressing the difficulties …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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A Comprehensive Review on Premature Hair Graying: Factor Contributing, Pathogenesis, Prevention Strategies, and Natural Therapeutic
Abstract: Premature graying of hair (PGH), also known as early canities, is an increasingly common dermatological concern characterized by the loss of natural hair pigmentation before the expected age. Hair color is primarily determined by the quantity and type of melanin synthesized by melanocytes within the hair follicle. Disruption in melanocyte function, survival, or melanin synthesis leads to hair graying. Multiple intrinsic and extrinsic factors contribute to PGH, including genetic predisposition, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 13–20 Read article
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Biological Membranes: Structure, Function, and Their Roles in Disease Pathophysiology
Abstract: Biological membranes are important structures that control cellular work, signal transmission, transport, and communication. Dysfunction of membranes has been considered in the development of many diseases, such as cancer, neurodegenerative diseases, and infections, with the distortion of lipid composition, protein activity, and cellular connections involved in the pathogenesis of the disease. The damage on membrane can be caused by oxidative stress, genetic mutation, and environmental influence to disrupt cellular homeostasis. …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 38–46 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Extended-spectrum beta-lactamases (ESBLs) and Metallo-beta-lactamases (MBLs): A Review
Abstract: Gram-negative bacteria produce extended-spectrum beta-lactamases (ESBLs) and metallo-beta-lactamases (MBLs), enzymes that play a crucial role in antibiotic resistance. These enzymes enable the bacteria to withstand a wide array of beta-lactam antibiotics, including penicillins, cephalosporins, and carbapenems. The production of these enzymes, particularly by organisms, such as Escherichia coli and Klebsiella pneumoniae, complicates treatment options for severe infections, leading to increased morbidity and mortality in clinical settings. ESBLs are primarily responsible …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 8–19 Read article
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Impact of Therapeutics on Carbapenem-Resistant Acinetobacter baumannii
Abstract: Acinetobacter baumannii, a formidable pathogen in healthcare settings, poses a significant threat due to its propensity to cause nosocomial infections. This bacterium exhibits several attributes that enable it to evade the human body's natural defenses. A. baumannii's remarkable adaptability is highlighted by its ease in acquiring antibiotic resistance determinants, rendering it challenging to treat. Its ability to thrive in hospital environments underscores the urgent need for stringent infection control practices …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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Genetic Authentication of Acacia Senegal (L.) Wild
Abstract: A study was carried out to ascertain the taxonomic identity and phylogenetic lineage of three presumed Acacia senegalensis using molecular markers. Three (3) varieties of seeds presumed to belong to Acacia spp. were collected from the Rubber Research Institute of Nigeria (RRIN) Benin City and three BP haplotypes (A, B, and C) was used as control for the analysis. These seeds were processed at the Applied Biotech International Laboratory Nigeria …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 33–39 Read article
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Angioedema-Diagnosis & Management
Abstract: Angioedema (AE) encompasses a diverse range of conditions categorized into three main groups: (1) angioedema mediated by histamine (AE-H); (2) angioedema mediated by bradykinin (AE-BK); and (3) angioedema with an unknown mechanism (AE-UNK). It can manifest on any part of the body, though commonly affected areas include the face, lips, mouth, throat, larynx, extremities, genital regions, and gastrointestinal tract. AE-H can occur by itself or in conjunction with chronic urticaria, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 9–21 Read article
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A study on Antibiotic Resistance: An Analysis of Molecular Mechanisms and Therapeutic Implications
Abstract: Antibiotic resistance (AR) represents one of the most critical existential threats to global public health, rapidly eroding the efficacy of established antimicrobial therapies and portending a return to the pre-antibiotic era. This analysis explores the intricate molecular landscape defining this crisis, focusing specifically on the primary mechanisms of action (MoA) utilized by major antibiotic classes—including cell wall inhibitors, protein synthesis inhibitors, and nucleic acid synthesis inhibitors—and the corresponding, diverse mechanisms …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 9–21 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Diet-Driven Enhancement of Immune Resilience, Disease Resistance, and Performance: Mechanistic Insights, Nutritional Interventions, and Implications for Sustainable Dairy Development
Abstract: This review synthesizes current knowledge on how dietary strategies can strengthen immune resilience, improve disease resistance, and enhance productive performance in dairy systems while advancing sustainable development. Immune function in dairy cattle is profoundly influenced by nutrition, with energy, protein, essential amino acids, fatty acids, vitamins, minerals, and bioactive compounds playing critical roles in shaping both innate and adaptive immune responses. Suboptimal nutrition impairs immune competence, increases susceptibility to infectious …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 15–24 Read article
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A Study to Assess the Stress and Anger Management by Deep Breathing Exercise and Meditation Among Adolescent Nursing Students at a Selected Nursing School in Delhi
Abstract: Introduction: Stress is a response that can lead to physical, emotional, or psychological strain. It is a frequent occurrence in daily life. Stress acts as the body's natural mechanism for defense against potential threats and dangers. It initiates a release of hormones that ready the body's functions to either confront danger head-on or retreat, commonly known as the fight-or-flight reaction. Anger can be caused by both external and internal events …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Nano-Chemical Revolution in Vaccinology: A Study
Abstract: The development of traditional vaccines, reliant on attenuated pathogens or purified proteins, has historically been limited by slow development timelines, poor stability, and low immunogenicity requiring potent, often non-specific, adjuvants. This synthesis argues that the convergence of nano-material science and meticulous chemical engineering represents the next major paradigm shift in preventative medicine. Nano-materials, particularly Lipid Nanoparticles (LNPs) and various polymeric or inorganic scaffolds, have transitioned from theoretical constructs to essential …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 Read article
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Exploring the Complexities of Parkinson’s Disease
Abstract: Parkinson’s disease (PD) is a neurological disorder, primarily affecting older adults, marked by both motor and non-motor symptoms. This review explores PD as a multisystem disorder that influences the central, enteric, and autonomic nervous systems, along with the immune system and gastrointestinal tract. Key pathogenic features include the degeneration of dopamine-producing neurons in the substantia nigra and the formation of Lewy bodies containing misfolded α-synuclein proteins. The bradykinesia, tremors, stiffness, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article