Dito Anurogo, Ririn Tri Ratnasari, Novi Irmania, Muhammad Sobri Maulana, Kholis Abdurachim Audah, Novi Sekar Sari, Maratu Soleha, Amir Su’udi, Ahmad Hafidul Ahkam, Andi Weri Sompa, Riswal Nafi’ Siregar, Maulida Mazaya, Riri Rimbun Anggih Chaidir, Azzah Khoridah Maulidiya, Suryani As’ad, Ami Febriza Achmad, Nur Rahmah Awaliah, Gangga Anuraga, Waode Fifin Ervina, Noorman Rinanto, Era Catur Prasetya, Tzu-Jen Kao, Tria Astika Endah Permatasari, Arli Aditya Parikesit, Nguyen Quoc Khanh Le, Nadhirah Nordin
Purpose: To explore the role of nanoimmunobiotechnomedicine in depression management, emphasizing how nanotechnology and immunobiology offer innovative approaches to understanding and treating depression. We investigated the molecular mechanisms underlying depression and integrated multi-omics approaches such as genomics, epigenomics, and bioinformatics to advance therapeutic strategies. Methods: An interdisciplinary approach was applied, synthesizing data from epigenetics, nutrigenomics, and advanced bioinformatics. Furthermore, molecular and cellular neuroscience techniques were utilized alongside pharmacogenomics to deepen the understanding of depression. Results: Findings highlight the effectiveness of nano-based interventions, like targeted drug delivery systems and anti-inflammatory treatments, in reducing neuroinflammation and enhancing neuroplasticity. Multi-omics data show the importance of neurotrophic factors and gut-brain axis interactions in depression management. Additionally, pharmacogenetics suggests personalized treatment strategies, tailoring therapeutic responses based on individual genetic profiles. Conclusion: Nanoimmunobiotechnomedicine represents a frontier for personalized depression therapies. The integration of nanotechnology and immunobiology enhances bioavailability and specificity in targeting depressive disorders at the molecular level. This convergence of molecular biology, and bioinformatics studies holds significant potential to revolutionize depression treatment, offering more effective and individualized solutions for better mental health outcomes. © 2025 The Author (s).
Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Sulawesi Selatan, Makassar, Indonesia; Indonesia Molecule Institute, Jawa Timur, Malang, Indonesia; Faculty of Economics and Business, Universitas Airlangga, Surabaya, Campus B, Jl. Airlangga, Gubeng, East Jawa, Surabaya, Indonesia; Center for Halal Industry Digitalization (CHID), Surabaya, Campus B, Jl. Airlangga, Gubeng, East Jawa, Surabaya, Indonesia; Research Fellow in Faculty of Islamic Contemporary Studies, Universiti Sultan Zainal Abidin, Terengganu, Malaysia; National Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia; Poliklinik Komando Sektor III Koopsud III, Indonesia; Department of Biotechnology, Faculty of Health Science, Esa Unggul University, West Java, Indonesia; Sekolah Tinggi Ilmu Kesehatan IKIFA, Jakarta Timur, Indonesia; Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Padjadjaran University, Sumedang, Indonesia; Teknik Informatika, Fakultas Ilmu Komputer, Universitas Pamulang, Tangerang Selatan, Indonesia; Aivita Biomedical Inc, Irvine, CA, United States; Department of Biotechnology, Faculty of Life Science and Technology, Universitas Teknologi Sumbawa, Sumbawa, Indonesia; Fakultas Psikologi, Universitas Negeri Jakarta, Daerah Khusus Ibukota Jakarta, Indonesia; Department of Clinical Nutrition, Faculty of Medicine, Universitas Hasanuddin, South Sulawesi, Makassar, Indonesia; Department of Statistics, Faculty of Engineering and Science, Universitas PGRI, Adi Buana, East Java, Surabaya, Indonesia; Master of Immunology Program, Postgraduate School of Universitas Airlangga, Campus B, Jl. Airlangga, Gubeng, East Java, Surabaya, Indonesia; Electrical Engineering Department, National Taiwan University of Science and Technology, Taipei, Taiwan; Automation Engineering Study Program, Politeknik Perkapalan Negeri Surabaya, Jawa Timur, Surabaya, Indonesia; Department of Psychiatry, Faculty of Medicine, Universitas Muhammadiyah Surabaya, Jawa Timur, Indonesia; Research Center of Neuroscience, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Medicine Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; International Master Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Department of Nutrition, Faculty of Medicine and Health, Universitas Muhammadiyah Jakarta, Central Jakarta, Indonesia; Department of Bioinformatics, Indonesia International Institute for Life Sciences (i3L), Jakarta Timur, Indonesia; In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan; Faculty of Islamic Contemporary Studies (FKI), Universiti Sultan Zainal Abidin, Gong Badak Campus, Gong Badak, Terengganu Darul Iman, Kuala Nerus, Malaysia
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