DOI: 10.37421/2155-9929.2024.15.660
Neurodegenerative diseases, such as Alzheimer’s Disease (AD), Parkinson’s Disease (PD), and Amyotrophic Lateral Sclerosis (ALS), are characterized by progressive neuronal damage and functional decline, significantly affecting the quality of life of those impacted. Early diagnosis is crucial for better disease management and improving therapeutic outcomes, yet the clinical diagnosis of these conditions is often made at advanced stages when irreversible neuronal damage has already occurred. Currently, most neurodegenerative diseases are diagnosed through clinical evaluation, neuroimaging, and sometimes post-mortem examination, but these methods lack the sensitivity and specificity needed for early detection. As a result, there is an urgent need for the development of novel molecular biomarkers that can detect these diseases at an earlier stage, before the onset of significant clinical symptoms. Molecular biomarkers, such as proteins, metabolites, and genetic markers, hold great potential to provide earlier, more accurate diagnoses and to track disease progression. Advances in genomics, proteomics, and metabolomics have opened up new avenues for identifying these biomarkers, which could revolutionize the way we diagnose and monitor neurodegenerative disease.
DOI: 10.37421/2155-9929.2024.15.661
Precision medicine has revolutionized cancer treatment by moving away from the one-size-fits-all approach to a more individualized model, where treatment decisions are based on the genetic and molecular profile of both the patient and the tumor. Central to this paradigm shift are molecular biomarkers, which provide valuable insights into the genetic and biochemical characteristics of cancer, enabling clinicians to tailor therapies that are more effective and less toxic. These biomarkers can identify mutations, alterations in gene expression, and other molecular changes that drive cancer progression, helping to predict how a patient will respond to specific treatments.
Received: 01 October, 2024, Manuscript No. jmbd-25-157282; Editor Assigned: 03 October, 2024, PreQC No. P-157282; Reviewed: 14 October, 2024, QC No. Q-157282; Revised: 21 October, 2024, Manuscript No. R-157282; Published: 28
DOI: 10.37421/2155-9929.2024.15.662
Cardiovascular Diseases (CVDs), including coronary artery disease, heart failure, and stroke, remain the leading cause of death worldwide, underscoring the critical need for early diagnosis and targeted treatments. Traditional risk factors such as hypertension, hyperlipidemia, diabetes, and smoking have long been used to assess the likelihood of cardiovascular events. However, these factors often fail to predict disease onset in individuals who appear to be at low risk. As a result, there is growing interest in identifying novel biomarkers that can provide more precise and early detection of cardiovascular diseases.
Received: 01 October, 2024, Manuscript No. jmbd-25-157283; Editor Assigned: 03 October, 2024, PreQC No. P-157283; Reviewed: 14 October, 2024, QC No. Q-157283; Revised: 21 October, 2024, Manuscript No. R-157283; Published: 28 October, 2024, DOI: 10.37421/2155-9929.2024.15. 662.
DOI: 10.37421/2155-9929.2024.15.663
Autoimmune disorders, including diseases such as rheumatoid arthritis, lupus, multiple sclerosis, and type 1 diabetes, occur when the body’s immune system mistakenly targets and attacks its own tissues. These disorders are highly complex and often involve a combination of genetic predisposition, environmental factors, and immune dysregulation. Despite significant advances in the understanding of autoimmune diseases, their exact pathogenesis remains unclear, and reliable biomarkers for early diagnosis, disease activity monitoring, and treatment response are still lacking.
Received: 01 October, 2024, Manuscript No. jmbd-25-157284; Editor Assigned: 03 October, 2024, PreQC No. P-157284; Reviewed: 14 October, 2024, QC No. Q-157284; Revised: 21 October, 2024, Manuscript No. R-157284; Published: 28 October, 2024, DOI: 10.37421/2155-9929.2024.15.663.
DOI: 10.37421/2155-9929.2024.15.664
Cancer remains one of the leading causes of death worldwide, with early detection and continuous monitoring being pivotal in improving survival rates. Traditionally, cancer diagnosis and monitoring have relied on invasive methods such as tissue biopsies and imaging techniques, which can be uncomfortable, costly, and often impractical for routine use. In recent years, liquid biopsy has emerged as a revolutionary non-invasive alternative for cancer diagnosis, treatment monitoring, and detection of Minimal Residual Disease (MRD).
DOI: 10.37421/2155-9929.2024.15.665
Infectious diseases continue to present significant global health challenges, ranging from common viral infections to deadly bacterial outbreaks. The complexity of infectious diseases is not only due to the diversity of pathogens but also the host's immune response, which can vary widely across individuals. Traditional approaches to diagnosing and treating infections often rely on broad-spectrum antibiotics or antivirals, which may not be effective for all patients and can contribute to issues like antimicrobial resistance.
DOI: 10.37421/2155-9929.2024.15.666
Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that leads to cognitive decline, memory loss, and behavioral changes, profoundly impacting the quality of life. The diagnosis of AD is often delayed until the disease has reached an advanced stage, at which point significant brain damage has already occurred. Early detection of Alzheimer's is crucial for effective intervention, especially as emerging therapies aim to slow disease progression and provide symptomatic relief. Traditionally, Alzheimer’s disease diagnosis has relied on clinical assessments, neuroimaging, and postmortem brain tissue analysis, but these methods often fail to detect the disease at its earliest, most treatable stages.
Received: 01 October, 2024, Manuscript No. ; Editor Assigned: 03 October, 2024, PreQC No. ; Reviewed: 14 October, 2024, QC No. ; Revised: 21 October, 2024, Manuscript No. ; Published: 28 October, 2024, DOI: 10.37421/2155-9929.2024.15.666.
DOI: 10.37421/2155-9929.2024.15.667
Rare genetic disorders, though individually uncommon, collectively affect a significant portion of the global population. These disorders often result from mutations in a single gene and are typically associated with complex clinical presentations. The challenge in diagnosing rare genetic disorders lies in the heterogeneity of symptoms and the low prevalence, which leads to delays in diagnosis and treatment. Traditional diagnostic approaches, such as clinical evaluations and genetic testing, often fail to identify these disorders early, contributing to prolonged patient suffering. Recent advancements in molecular diagnostics, particularly the use of microRNAs (miRNAs), are revolutionizing the early diagnosis of rare genetic disorders.
Received: 01 October, 2024, Manuscript No. jmbd-25-157289; Editor Assigned: 03 October, 2024, PreQC No. ; Reviewed: 14 October, 2024, QC No. ; Revised: 21 October, 2024, Manuscript No. ; Published: 28 October, 2024, DOI: 10.37421/2155-9929.2024.15.667.
DOI: 10.37421/2155-9929.2024.15.668
Cancer remains one of the leading causes of morbidity and mortality worldwide, with tumors exhibiting complex and heterogeneous genetic profiles that contribute to their progression, metastasis, and resistance to therapy. Early and accurate detection of cancer is critical for improving treatment outcomes, as it allows for timely intervention and better patient prognostication. Traditional diagnostic methods, including imaging and biopsy, often fall short in providing precise information about tumor heterogeneity and molecular characteristics. As a result, there has been an increasing focus on identifying tumor-specific biomarkers that can facilitate early diagnosis, predict treatment responses, and monitor disease progression.
DOI: 10.37421/2155-9929.2024.15.669
Inflammatory diseases, which encompass a wide range of conditions such as rheumatoid arthritis, Inflammatory Bowel Disease (IBD), and psoriasis, are characterized by chronic inflammation that can lead to significant tissue damage and long-term disability. The complexity of these diseases lies in their multifactorial nature, involving genetic, environmental, and immune system factors that contribute to disease onset and progression
Molecular Biomarkers & Diagnosis received 2054 citations as per Google Scholar report