Soil microbial communities are essential for nutrient cycling, breaking down of organic matter and maintaining of our terrestrial ecosystems. Multiple types of evidences have shown that these types of tree species present significantly influence soil microbial activity through changes in litter input, root exudation and microhabitat conditions. This review brings together recent studies to clarify […]
Vol. 12 (5) 2026
This review provides a comprehensive overview of the global distribution of cyanobacteria and examines the occurrence, diversity, and classification of major cyanotoxins, including microcystins, cylindrospermopsin, anatoxins, and saxitoxins. It further discusses their toxicological impacts on humans, aquatic organisms, and ecosystem health, with particular emphasis on their bioaccumulation and transfer through aquatic food webs.
Risk assessment and treatment strategies in cancer patients are often uncertain because of the variability of the patients' conditions, lack of sufficient data, and uncertainties in medical knowledge. Conventional mathematical approaches may not be able to adequately incorporate such uncertainty. In this research, we use fuzzy soft set theory as a sound mathematical approach to […]
The present work is based on bioinformatics analysis was performed to elucidate the molecular mechanisms underlying FH. A curated set of 30 FH-associated genes was retrieved from the DisGeNET database and analyzed using Gene Ontology (GO), KEGG, Reactome, STRING, GeneMANIA, and NetworkAnalyst platforms. Enrichment analysis revealed dominant biological processes related to lipoprotein metabolism, LDL receptor-mediated […]
Duchenne Muscular Dystrophy (DMD) is a severe X-linked neuromuscular disorder caused by mutations in the DMD gene, leading to progressive muscle degeneration. In this study, a network-based bioinformatics approach was employed to analyze disease-associated genes and molecular pathways involved in DMD using web-based bioinformatics tools. Gene–disease association analysis was performed using DisGeNET, followed by protein–protein […]
This review investigates how brain informatics contributes to monitoring disease advancement, constructing individualized brain maps, facilitating immediate clinical interventions, and combining multi-modal data from genomics to imaging. It also delves into the creation of digital phenotyping, the significance of wearable technology, and the use of machine learning in precision neurology.
Glioblastoma is an aggressive and highly malignant brain tumor characterized by rapid growth, widespread infiltration, and considerable genetic heterogeneity. Understanding its molecular basis is critical for identifying new therapeutic targets to improve clinical prognosis. This study employed an integrative bioinformatics approach to investigate glioblastoma-related genes and their molecular pathways using freely available online tools. Disease-associated […]
Autism Spectrum Disorder is characterised by numerous genetic and molecular components and is classified as a neurodevelopmental disorder. Although many potential contributors to ASD have already been identified at the gene level, the biological mechanisms behind Autism Spectrum Disorders are still not completely understood. Using an integrated bioinformatics approach to retrieve ASD-associated genes from the […]
In the present work, an integrated bioinformatics analysis was performed to provide insights into the molecular mechanisms of Epilepsy. A complete list of 30 high-confidence Epilepsy-related genes was compiled from the DisGeNET database and analyzed using GO, KEGG, Reactome, and STRING. Major enriched biological processes were the regulation of membrane potential, ion transmembrane transport, and […]
Rheumatoid Arthritis (RA) is a complex disease that often hides behind a "backup system" of genes allowing inflammation to continue even when a patient is on medication. This explains why nearly 40% of people do not respond well to current treatments. In this study we used a step by step digital map built from 10 […]
Galactosemia is a rare hereditary metabolic disorder caused by the body's inability to metabolize galactose, primarily due to mutations in the GALT gene. Despite the standard implementation of dietary management, long- term systemic complications persist, necessitating a systems-level understanding of the disease. This study employed a comprehensive bioinformatics approach to investigate the molecular mechanisms underlying […]
Pulmonary alveolar proteinosis (PAP) is a rare lung disorder characterized by abnormal surfactant accumulation, primarily resulting from impaired GM-CSF signaling or mutations in surfactant-related genes, leading to alveolar macrophage dysfunction. While prior studies have focused on individual genes or isolated mechanisms, the broader gene interaction networks and regulatory pathways underlying PAP remain poorly understood. In […]
Parkinsonism is a progressive neurodegenerative disorder characterized by dopaminergic neuron loss, mitochondrial dysfunction, protein aggregation, oxidative stress, and neuroinflammation. Current treatments are mainly symptomatic and do not prevent disease progression, highlighting the need to identify key molecular regulators. This study employed an integrated bioinformatics approach to analyse Parkinsonism-associated genes using DisGeNET, STRING, Network Analyst, KEGG, […]
Chenopodium album Linn. (Bathua), a member of the family Chenopodiaceae originating from Western Asia, is widely cultivated in India as a food crop and animal fodder. The present study investigated the ethnobotanical significance, phytochemical composition, and antimicrobial potential of C. album collected from Bargarh district, Odisha. Ethnobotanical surveys documented its traditional medicinal uses among local […]
The present study investigated the metabolomic profile and therapeutic potential of Grateloupia lithophila Borgesen (Halymeniaceae), a marine red alga with promising pharmacological applications. Ethanolic extracts of the alga were analyzed using Gas Chromatography–Mass Spectrometry (GC–MS), revealing a chemically diverse composition rich in fatty acids, terpenoids, steroids, esters, and polyphenolic compounds. A total of 68 metabolites […]
The aging process is intricately linked to oxidative stress, yet the role of natural antioxidants has evolved significantly from the classical free radical scavenging theory toward a more nuanced understanding of redox signaling, hormesis, and cellular senescence. This review critically examines current trends and future prospects for natural antioxidants—including dietary polyphenols, flavonoids, carotenoids, and Nrf2 […]