ReviewMolecular psychiatry2026
Clinical innovations and future directions of nanoparticles in the treatment of psychiatric and neurological disorders.
Review in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Nanocarriers in psychiatry: a comprehensive review of emerging frontiers in the management of psychiatric disorders.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- From neuroinflammation to immune reprogramming: Nanozyme-Integrated nanoplatforms for neuroimmune modulation in Parkinson's disease.Materials today. Bio · 2026Article
- Engineering Advanced Nanomedicine Against Depression: From Treatment Challenges to Delivery Strategies.Advanced healthcare materials · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Nanoparticles (NPs) provide a versatile toolkit for psychiatry and neurology by leveraging tunable size, surface chemistry, and payload control to overcome long-standing barriers in central nervous system (CNS) therapy. Lipid, polymeric, inorganic, and hybrid NPs can be engineered to traverse the blood-brain barrier (BBB) via receptor/transporter pathways, target specific cell types, and deliver sustained or stimuli-responsive release. Beyond drug delivery, NPs improve imaging, enable gene/RNA therapeutics, and support anti-inflammatory and neuroprotective strategies, advancing precision medicine. Preclinical studies in depression, schizophrenia, Alzheimer's disease, and Parkinson's disease show superior exposure, target engagement, and behavioral or cognitive benefits versus free drugs, including photothermal/photodynamic and nanobody-based approaches. Clinically, translation remains early: a handful of CNS-directed candidates (e.g., gold-based bioenergetic agents, intranasal lipid formulations, liposomal modulators) are in trials, while approvals largely lie outside CNS indications. Key hurdles include variable BBB integrity, immunogenicity and protein-corona effects, manufacturing and stability constraints, and limited effect-site exposure-response data in humans. This review outlines a translational playbook: model-informed development linking formulation to brain interstitial exposure; Quality-by-Design chemistry, manufacturing, and controls (CMC); stratified, adaptive trials with population PK/PD and harmonized biomarkers; and proactive safety monitoring with long-term registries. We also highlight NP strategies targeting the gut-brain axis-delivering probiotics, metabolites, or antimicrobials-as complementary routes to modulate neuroinflammation and circuit function. With rigorous clinical science, manufacturing quality, and safety governance embedded from the outset, nanotechnology is positioned to deliver safer, more effective, and potentially disease-modifying therapies for CNS disorders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.