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Azerbaijan Medical Journal

Aim and Scope

Azerbaijan Medical Journal

The Azerbaijan Medical Journal (AMJ) is a peer-reviewed, open-access monthly publication dedicated to advancing medical science and clinical practice through the dissemination of high-quality, original research. The Journal aims to serve as a global platform for researchers, clinicians, and healthcare professionals to share innovative findings, critical reviews, and evidence-based insights that contribute to the understanding, prevention, diagnosis, and treatment of diseases.

AMJ welcomes submissions across a broad spectrum of medical disciplines, including but not limited to:

The Journal particularly encourages contributions from early-career researchers, multidisciplinary teams, and authors from underrepresented regions. All manuscripts undergo rigorous double-blind peer review to ensure scientific integrity, methodological soundness, and relevance to contemporary medical challenges.We invite authors worldwide to submit original articles, review papers, case reports, brief communications, and study protocols that align with the Journal’s mission of promoting excellence, equity, and accessibility in medical scholarship.

📝 Official Submission Process

Manuscripts must be submitted officially through our online system. Please complete the REGISTRATION FORM on our website first to access your Author Dashboard. You may then submit your manuscript for an initial review by our dedicated editorial team to assess its compliance with our journal's policies and scope.

Step-by-Step Submission Process:
  1. 1. Complete registration Form
  2. 2. Access Your Applicant Dashboard
  3. 3. Submit a new article
  4. 4. Fill Out the Submission Form.
    Please ensure you provide a title and abstract for your article, and upload the required document files.
    Accepted formats are PDF, TXT, and DOCX (up to 10MB per file). You may upload up to 5 files.
    The first document file is mandatory.
💡 Need Help?

For technical assistance with submission or registration, please contact:

For general editorial questions or policy inquiries:

Latest Articles

Azerbaijan Medical Journal

AMJ-10-08-2024-12296
Itaconate Metabolism in Alveolar Macrophages Orchestrates Type 2 Inflammation Resolution in Severe Asthma Through NRF2-Dependent Anti-Inflammatory Programming

Author(s): Dr. Sophie Dubois, Dr. Mohammed Al-Rashid, Dr. Emily Zhang

Abstract: Severe eosinophilic asthma is refractory to corticosteroid therapy in 10% of patients, necessitating biologic interventions. We demonstrate that alveolar macrophages (AMs) from severe asthmatics exhibit defective immunometabolic programming characterized by diminished itaconate synthesis via mitochondrial aconitate decarboxylase (ACOD1). Itaconate deficiency resulted in impaired NRF2 antioxidant pathway activation and sustained IL-4/IL-13 signaling. Intratracheal administration of 4-octy...
Read More Azerbaijan Medical Journal • 10-08-2024
AMJ-10-08-2024-12295
Cellular Senescence in the Bone Marrow Niche Drives Osteoclast Mediated Bone Resorption in Glucocorticoid-Induced Osteoporosis Through SASP-Derived RANKL

Author(s): Dr. Robert Chen, Dr. Fatima Osei

Abstract: Glucocorticoid-induced osteoporosis (GIOP) is the most common secondary cause of bone loss, yet the cellular senescence contribution remains undefined. We demonstrate that therapeutic-dose dexamethasone induces p16INK4a-positive senescence in bone marrow mesenchymal stromal cells (BMSCs) and osteoblasts within 14 days in murine models. The senescence-associated secretory phenotype (SASP) from these cells exhibited 8-fold elevated soluble RANKL levels compared to non-senescent controls. S...
Read More Azerbaijan Medical Journal • 10-08-2024
AMJ-10-08-2024-12294
Wastewater Metagenomic Surveillance Predicts Community Emergence of Carbapenem-Resistant Enterobacteriaceae Six Weeks Prior to Clinical Isolation

Author(s): Dr. Layla Hassan

Abstract: Antimicrobial resistance (AMR) surveillance relies on clinical cultures, introducing detection delays. We implemented a longitudinal wastewater metagenomics pipeline across three tertiary hospitals and surrounding communities, sequencing 200 samples monthly over 18 months. Bioinformatic analysis of resistance genes (ARGs) using deep learning models (AMR-Guard) predicted the emergence of carbapenem-resistant Enterobacteriaceae (CRE) strains six weeks before first clinical isolation in 92%...
Read More Azerbaijan Medical Journal • 10-08-2024
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