Evidence map›Paper›PMID 41835043›Full record

ReviewAdvanced pharmaceutical bulletin2025

The Art of Nanoimmunobiotechnomedicine in Depression Management.

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 and 16 more

Abstract readReview
In one paragraph

Review in Advanced pharmaceutical bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Dito AnurogoFaculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia.ORCID https://orcid.org/0000-0002-3292-3139
Ririn Tri RatnasariFaculty of Economics and Business, Universitas Airlangga, Surabaya, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Jawa, Indonesia.ORCID https://orcid.org/0000-0003-1126-4012
Novi IrmaniaNational Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia.ORCID https://orcid.org/0000-0001-6469-9330
Muhammad Sobri MaulanaPoliklinik Komando Sektor III Koopsud III.
Kholis Abdurachim AudahDepartment of Biotechnology, Faculty of Health Science, Esa Unggul University, West Java, Indonesia.
Novi Sekar SariFaculty of Economics and Business, Universitas Airlangga, Surabaya, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Jawa, Indonesia.
Maratu SolehaNational Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia.
Amir Su'udiNational Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia.
Ahmad Hafidul AhkamDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Padjadjaran University, Sumedang, Indonesia.
Andi Weri SompaFaculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia.
Riswal Nafi' SiregarNational Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia.
Maulida MazayaNational Research and Innovation Agency (BRIN), Jakarta Pusat, Indonesia.
Riri Rimbun Anggih ChaidirDepartment of Biotechnology, Faculty of Life Science and Technology, Universitas Teknologi Sumbawa, Sumbawa, Indonesia.
Azzah Khoridah MaulidiyaFakultas Psikologi, Universitas Negeri Jakarta, Daerah Khusus Ibukota Jakarta, Indonesia.
Suryani As'adFaculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia.
Ami Febriza AchmadFaculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia.
Nur Rahmah AwaliahFaculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar, Sulawesi Selatan, Indonesia.
Gangga AnuragaDepartment of Statistics, Faculty of Engineering and Science, Universitas PGRI, Adi Buana, Surabaya, East Java, Indonesia.
Waode Fifin ErvinaMaster of Immunology Program, Postgraduate School of Universitas Airlangga, Campus B, Jl. Airlangga, Gubeng, Surabaya, East Java, Indonesia.
Noorman RinantoElectrical Engineering Department, National Taiwan University of Science and Technology, Taipei, Taiwan.
Era Catur PrasetyaDepartment of Psychiatry, Faculty of Medicine, Universitas Muhammadiyah Surabaya, Jawa Timur, Indonesia.
Tzu-Jen KaoResearch Center of Neuroscience, Taipei Medical University, Taipei, Taiwan.
Tria Astika Endah PermatasariDepartment of Nutrition, Faculty of Medicine and Health, Universitas Muhammadiyah Jakarta, Central Jakarta, Indonesia.
Arli Aditya ParikesitDepartment of Bioinformatics, Indonesia International Institute for Life Sciences (i3L), Jakarta Timur, Indonesia.
Nguyen Quoc Khanh LeIn-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Nadhirah NordinFaculty of Islamic Contemporary Studies (FKI), Universiti Sultan Zainal Abidin, Gong Badak Campus, Gong Badak, Kuala Nerus, Terengganu Darul Iman, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DepressionEpigenomicsNanoimmunobiotechnomedicineNeuroinflammationPersonalized medicinePharmacogenomics

Identifiers

PMID41835043
PMCPMC12980192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.