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Open access

ISSN: 2543-1064

Pharmacological evaluation of betulinic acid in sodium valproate-induced autism spectrum disorder in rat pups

Betulinic acid (BA), a natural compound isolated from many medicinal plants known for neuroprotective properties, was assessed for its potential to mitigate autism-like symptoms in rat pups following...

Intermittent fasting and circadian alignment: an immunometabolic synergy for HIV/TB management

HIV and tuberculosis (TB) remain major global health challenges, compounded by chronic inflammation, immune dysregulation, and metabolic disturbance. Emerging evidence suggests that circadian alignment...

Towards a healthier world: Interdisciplinary approaches in cardiometabolic research

The global burden of cardiometabolic diseases-including obesity, type 2 diabetes, metabolic syndrome, and their associated cardiovascular symptoms such as hypertension and dyslipidemia continues to...

Association of multiple biomarkers, CRP, Uric acid, Urea, Ferritin with Metabolic Syndrome among young adults in Bhubaneswar

MetS is a conglomeration of several disorders namely unusual weight gain, insulin resistance, hypertension and dyslipidemia that are likely to increase the risk of cardiovascular disease (CVD) and type...

Evaluation of Marsilea minuta Linn. for wound healing activity through the excision wound model

The present study investigates the wound healing activity of Marsilea minuta Linn. extract on Wistar rats by using the excision wound model. After authentication at the Central Regional Botanical Survey...

Experimental Evaluation of Anxiolytic and Anti-amnestic Activities of Aqueous and Hydroalcoholic Extracts of Sphaeranthus indicus L. (Mundi ) in Swiss Albino Mice

Sphaeranthus indicus L. (Mundi), a medicinal herb from the Asteraceae family, is traditionally cited in Ayurvedic texts for its Medhya (neurocognitive) properties. However, scientific evidence especially...

Systems-Level Transcriptomic Investigation Unveils Essential Molecular Networks Driving Temozolomide Resistance In Lower-Grade Glioma

Low-grade gliomas (LGG) constitute a heterogeneous group of neoplasms arising from the supporting glial cells of the central nervous system (CNS). Patients typically undergo radiotherapy, chemotherapy,...

Proteomic and metabolomic alterations in response to stress in vivo

Using liquid chromatography-tandem mass spectrometry, this study investigated the proteomic and metabolomic alterations associated with stress in vivo. C57BL/6 mice were divided into two groups: control...

The Use of Machine Learning Algorithms in the Identification of Novel Biomarkers for Disorders of the Immune System

Identifying biomarkers is critical for understanding the pathophysiology, diagnosis, and treatment of immune system disorders. Traditional biomarker discovery methods often face limitations in regard...

Evaluation of toxicity and antioxidant activities of various crude extracts of leaves and stems of Zygophyllumsimplex

Zygophyllum simplex (Z. simplex) is a plant that has been used for a long time for the treatment of human diseases. Therefore, this present research study aims to prepare various plant extracts and...

Bringing lab to the field: Exploring innovations in point-of-care diagnostics for the rapid detection and management of tropical diseases in resource-limited settings

Tropical diseases present major health challenges in regions with limited resources, where access to advanced laboratory facilities is often scarce. This study explores the innovative techniques emerging...

Application of Generative Adversarial Networks on RNASeq data to uncover COVID-19 severity biomarkers

The COVID-19 pandemic has highlighted the need for reliable biomarkers to predict disease severity and guide treatment strategies. However, the analysis of RNASeq data for biomarker discovery using...

miRNA based target identification of TNFα gene in nephrotic syndrome

Nephrotic syndrome (NS) can be caused by various underlying kidney conditions. In most cases, the exact cause of NS is unknown, although it may be related to the body's immune system malfunctioning....

Clinical features and predictive model for invasive pulmonary fungal infections in hematologic disorders

This study was to investigate the clinical features of hematological disorders complicated by invasive pulmonary fungal infections and identify factors affecting treatment outcomes, with the aim of...

Procalcitonin and C-reactive protein as alternative salivary biomarkers in infection and inflammatory diseases detection and patient care: A scoping review

In ambulatory and hospital settings, inflammatory diseases stand a significant challenge for both patients and clinicians. These conditions, often serve as precursors to sepsis, necessitate effective...

CAR-T and nanotechnology: A comparative Perspective on autoimmune disease and cancer

Nanotechnology has emerged as a key transformative force in upgrading Chimeric Antigen Receptor T-cell (CAR-T) from generation to generation in cancer and autoimmune treatment. Nanotechnology-aided...

Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy

Epilepsy is one of the most prevalent neurological disorders that negatively impacts patients' quality of life and poses a severe health risk. It is often characterized by recurrent brain seizures....

The role of TGF-β in the development of lung cancer in patients with chronic obstructive pulmonary disease

Lung cancer and chronic obstructive pulmonary disease (COPD) have similar etiologic factors, but the relationship between these diseases has not been investigated. This study aimed to investigate whether...

Identification of bipolar disorder related biomarkers, signaling pathways and potential therapeutic compounds based on bioinformatics methods and molecular docking technology

Bipolar disorder (BD), also known as psychiatric disorder, affects millions of people all over the world. The aim of this investigation was to screen and verify hub genes involved in BD as well as to...

Machine learning and IoT in healthcare: Recent advancements, challenges & future direction

The integration of Machine Learning and Deep Learning with IoT-enabled devices for real-time health monitoring has significantly revolutionized healthcare. These technologies facilitate the analysis...

Bridging traditional risk factors and genetic insights: A review on polygenic risk scores in cardiovascular diseases

Cardiovascular diseases (CVDs) remain the leading cause of global morbidity and mortality, with traditional risk models often falling short in predicting individual susceptibility-especially among diverse...

Network-based discovery of autophagy-regulating miRNA signatures in ovarian carcinoma

Ovarian cancer (OC) remains a leading cause of gynaecologic mortality due to lack of reliable early detection biomarkers. Given the emerging role of autophagy in tumor progression, this study explored...

The diagnostic value of miRNAs combination for Kurdish NAFLD patients

Non-alcoholic fatty liver disease (NAFLD) encompasses a spectrum of liver disorders ranging from simple steatosis to steatohepatitis. The development of non-invasive diagnostic tools is crucial for...

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