Dito Anurogo
1,2* 
, Ririn Tri Ratnasari
3,4,5* , Novi Irmania
6* , Muhammad Sobri Maulana
7, Kholis Abdurachim Audah
8, Novi Sekar Sari
3, Maratu Soleha
6,9, Amir Su’udi
6, Ahmad Hafidul Ahkam
10, Andi Weri Sompa
1, Riswal Nafi’ Siregar
6,11, Maulida Mazaya
6,12, Riri Rimbun Anggih Chaidir
13, Azzah Khoridah Maulidiya
14, Suryani As’ad
1,15, Ami Febriza Achmad
1, Nur Rahmah Awaliah
1, Gangga Anuraga
16, Waode Fifin Ervina
17, Noorman Rinanto
18,19, Era Catur Prasetya
20, Tzu-Jen Kao
21,22,23, Tria Astika Endah Permatasari
24, Arli Aditya Parikesit
25, Nguyen Quoc Khanh Le
26,27, Nadhirah Nordin
281 Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia
2 Indonesia Molecule Institute, Malang, Jawa Timur, Indonesia
3 Faculty of Economics and Business, Universitas Airlangga, Surabaya, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Jawa, Indonesia
4 Center for Halal Industry Digitalization (CHID), Surabaya, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Jawa, Indonesia
5 Research Fellow in Faculty of Islamic Contemporary Studies, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
6 National Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia
7 Poliklinik Komando Sektor III Koopsud III
8 Department of Biotechnology, Faculty of Health Science, Esa Unggul University, West Java, Indonesia
9 Sekolah Tinggi Ilmu Kesehatan IKIFA, Jakarta Timur, Indonesia
10 Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Padjadjaran University, Sumedang, Indonesia
11 Teknik Informatika, Fakultas Ilmu Komputer, Universitas Pamulang, Tangerang Selatan, Indonesia
12 Aivita Biomedical Inc., Irvine, California, USA
13 Department of Biotechnology, Faculty of Life Science and Technology, Universitas Teknologi Sumbawa, Sumbawa, Indonesia
14 Fakultas Psikologi, Universitas Negeri Jakarta, Daerah Khusus Ibukota Jakarta, Indonesia
15 Department of Clinical Nutrition, Faculty of Medicine, Universitas Hasanuddin, Makassar, South Sulawesi, Indonesia
16 Department of Statistics, Faculty of Engineering and Science, Universitas PGRI, Adi Buana, Surabaya, East Java, Indonesia
17 Master of Immunology Program, Postgraduate School of Universitas Airlangga, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Java, Indonesia
18 Electrical Engineering Department, National Taiwan University of Science and Technology, Taipei, Taiwan
19 Automation Engineering Study Program, Politeknik Perkapalan Negeri Surabaya, Surabaya, Jawa Timur, Indonesia
20 Department of Psychiatry, Faculty of Medicine, Universitas Muhammadiyah Surabaya, Jawa Timur, Indonesia
21 Research Center of Neuroscience, Taipei Medical University, Taipei, Taiwan
22 Graduate Institute of Medicine Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
23 International Master Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
24 Department of Nutrition, Faculty of Medicine and Health, Universitas Muhammadiyah Jakarta, Central Jakarta, Indonesia
25 Department of Bioinformatics, Indonesia International Institute for Life Sciences (i3L), Jakarta Timur, Indonesia
26 In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
27 AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan
28 Faculty of Islamic Contemporary Studies (FKI), Universiti Sultan Zainal Abidin, Gong Badak Campus, Gong Badak, Kuala Nerus, Terengganu Darul Iman, Malaysia
*Corresponding Author: Research Fellow in Faculty of Islamic Contemporary Studies, Universiti Sultan Zainal Abidin, Terengganu, 21300, Malaysia Email dito.anurogo@med.unismuh.ac.id, ririnsari@feb.unair.ac.id, novi053@brin.go.id
Abstract
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.