Evidence map›Paper›PMID 42572189›Full record

ReviewAdvanced healthcare materials2026

Engineering Advanced Nanomedicine Against Depression: From Treatment Challenges to Delivery Strategies.

Mijia Zhang, Enyao He, Youlan Xiong, Anrui Xiong, Xin Peng, Yongzhou Wang, Yingjiang Gu, Jian-Lin Wu, Pan Liang

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2026. 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

9 authors.

Mijia ZhangDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0009-0007-1424-1891
Enyao HeDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Youlan XiongDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Anrui XiongDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xin PengDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Yongzhou WangDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Yingjiang GuDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Jian-Lin WuFaculty of Chinese Medicine, State Key Laboratory of Mechanism and Quality of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau, China.
Pan LiangDrug Research Center of Integrated Traditional Chinese and Western Medicine & Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.ORCID https://orcid.org/0009-0000-1554-6434

Funding

Sichuan Provincial Administration of Traditional Chinese Medicine 2021MS105Sichuan Science and Technology Program 2026YFHZ0073Southwest Medical University 2025ZXYZX05
6 · The paper itself

Abstract

Depression is a leading global health burden, yet current pharmacotherapy remains constrained by depression-specific challenges that extend beyond simple blood-brain barrier (BBB) penetration, including delayed onset of action, poor regional brain specificity, and the inability to deliver emerging biologics. Engineered nanomedicine offers a paradigm-shifting platform to address these limitations through precise designs such as receptor-mediated transport and cell-mimetic carriers, enabling targeted modulation of depression-related neural circuits. This review critically evaluates advanced nanoengineering strategies for antidepressant delivery, distinguishing proof-of-concept systems from platforms with realistic translational potential. We further provide a decision-oriented framework to guide future clinical development. By moving beyond generic strategies for BBB penetration to address the distinctive pharmacotherapeutic shortcomings of depression, engineered nanomedicine holds great promise for advancing next-generation antidepressant therapies that achieve rapid onset, precise intervention, and comprehensive improvement in patient quality of life.

Indexed as

Antidepressive AgentsDepressionDrug Delivery SystemsNanomedicineAnimalsBlood-Brain BarrierHumansAntidepressive Agentsblood–brain barrier penetrationcell biomimeticdepressionengineered nanomedicinenasal–brain deliveryreceptor‐mediated

Identifiers

PMID42572189
PMCPMC13568894

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.